From fdc53bf9e7b72d3ed871bf9d9a4fae8a09e50340 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Wed, 13 Aug 2025 19:00:11 +0300 Subject: [PATCH 01/69] WIP --- Editor/LLMEditor.cs | 22 ++++----- Runtime/LLM.cs | 6 +-- Runtime/LLMBuilder.cs | 88 ++++++++++++++++++++++----------- Runtime/LLMLib.cs | 45 +++++++++-------- Runtime/LLMManager.cs | 9 ++-- Runtime/LLMUnitySetup.cs | 102 +++++++++++++++++++-------------------- Tests/Runtime/TestLLM.cs | 32 ------------ 7 files changed, 153 insertions(+), 151 deletions(-) diff --git a/Editor/LLMEditor.cs b/Editor/LLMEditor.cs index 5ed29afe..2cfc5183 100644 --- a/Editor/LLMEditor.cs +++ b/Editor/LLMEditor.cs @@ -111,7 +111,7 @@ public override void AddModelSettings(SerializedObject llmScriptSO) if (llmScriptSO.FindProperty("advancedOptions").boolValue) { attributeClasses.Add(typeof(ModelAdvancedAttribute)); - if (LLMUnitySetup.FullLlamaLib) attributeClasses.Add(typeof(ModelExtrasAttribute)); + attributeClasses.Add(typeof(ModelExtrasAttribute)); } ShowPropertiesOfClass("", llmScriptSO, attributeClasses, false); Space(); @@ -126,10 +126,10 @@ static void ResetModelOptions() { List existingOptions = new List(); foreach (ModelEntry entry in LLMManager.modelEntries) existingOptions.Add(entry.url); - modelOptions = new List(){"Download model", "Custom URL"}; - modelNames = new List(){null, null}; - modelURLs = new List(){null, null}; - modelLicenses = new List(){null, null}; + modelOptions = new List() { "Download model", "Custom URL" }; + modelNames = new List() { null, null }; + modelURLs = new List() { null, null }; + modelLicenses = new List() { null, null }; foreach (var entry in LLMUnitySetup.modelOptions) { string category = entry.Key; @@ -146,9 +146,9 @@ static void ResetModelOptions() float[] GetColumnWidths(bool expandedView) { - List widths = new List(){actionColumnWidth, nameColumnWidth, templateColumnWidth}; - if (expandedView) widths.AddRange(new List(){textColumnWidth, textColumnWidth}); - widths.AddRange(new List(){includeInBuildColumnWidth, actionColumnWidth}); + List widths = new List() { actionColumnWidth, nameColumnWidth, templateColumnWidth }; + if (expandedView) widths.AddRange(new List() { textColumnWidth, textColumnWidth }); + widths.AddRange(new List() { includeInBuildColumnWidth, actionColumnWidth }); return widths.ToArray(); } @@ -420,7 +420,7 @@ void OnEnable() EditorGUI.LabelField(rects[col++], "Build"); EditorGUI.LabelField(rects[col++], ""); }, - drawFooterCallback = {}, + drawFooterCallback = { }, footerHeight = 0, }; } @@ -440,14 +440,14 @@ private void DrawCopyableLabel(Rect rect, string label, string text = "") private void CopyToClipboard(string text) { - TextEditor te = new TextEditor {text = text}; + TextEditor te = new TextEditor { text = text }; te.SelectAll(); te.Copy(); } public void AddExtrasToggle() { - if (ToggleButton("Use extras", LLMUnitySetup.FullLlamaLib)) LLMUnitySetup.SetFullLlamaLib(!LLMUnitySetup.FullLlamaLib); + if (ToggleButton("Use cuBLAS", LLMUnitySetup.CUBLAS)) LLMUnitySetup.SetCUBLAS(!LLMUnitySetup.CUBLAS); } public override void AddOptionsToggles(SerializedObject llmScriptSO) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index 3818741b..06d5bc25 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -445,7 +445,7 @@ protected virtual string GetLlamaccpArguments() if (numThreadsToUse > 0) arguments += $" -t {numThreadsToUse}"; arguments += loraArgument; if (numGPULayers > 0) arguments += $" -ngl {numGPULayers}"; - if (LLMUnitySetup.FullLlamaLib && flashAttention) arguments += $" --flash-attn"; + if (flashAttention) arguments += $" --flash-attn"; if (remote) { arguments += $" --port {port} --host 0.0.0.0"; @@ -556,7 +556,7 @@ private void StartService() { llmThread = new Thread(() => llmlib.LLM_Start(LLMObject)); llmThread.Start(); - while (!llmlib.LLM_Started(LLMObject)) {} + while (!llmlib.LLM_Started(LLMObject)) { } ApplyLoras(); started = true; } @@ -780,7 +780,7 @@ public async Task Slot(string json) public async Task Completion(string json, Callback streamCallback = null) { AssertStarted(); - if (streamCallback == null) streamCallback = (string s) => {}; + if (streamCallback == null) streamCallback = (string s) => { }; StreamWrapper streamWrapper = ConstructStreamWrapper(streamCallback); await Task.Run(() => llmlib.LLM_Completion(LLMObject, json, streamWrapper.GetStringWrapper())); if (!started) return null; diff --git a/Runtime/LLMBuilder.cs b/Runtime/LLMBuilder.cs index 6725cd43..8684c39e 100644 --- a/Runtime/LLMBuilder.cs +++ b/Runtime/LLMBuilder.cs @@ -98,7 +98,7 @@ public static void MovePath(string source, string target) /// path public static bool DeletePath(string path) { - string[] allowedDirs = new string[] { LLMUnitySetup.GetAssetPath(), BuildTempDir, PluginDir("Android"), PluginDir("iOS"), PluginDir("VisionOS")}; + string[] allowedDirs = new string[] { LLMUnitySetup.GetAssetPath(), BuildTempDir, PluginDir("Android"), PluginDir("iOS"), PluginDir("VisionOS") }; bool deleteOK = false; foreach (string allowedDir in allowedDirs) deleteOK = deleteOK || LLMUnitySetup.IsSubPath(path, allowedDir); if (!deleteOK) @@ -113,7 +113,7 @@ public static bool DeletePath(string path) static void AddMovedPair(string source, string target) { - movedPairs.Add(new StringPair {source = source, target = target}); + movedPairs.Add(new StringPair { source = source, target = target }); File.WriteAllText(movedCache, JsonUtility.ToJson(new ListStringPair { pairs = movedPairs }, true)); } @@ -164,37 +164,38 @@ static void AddActionAddMeta(string target) /// target platform public static void BuildLibraryPlatforms(BuildTarget buildTarget) { - string platform = ""; + List platforms = new List(); + bool checkCUBLAS = false; switch (buildTarget) { case BuildTarget.StandaloneWindows: case BuildTarget.StandaloneWindows64: - platform = "windows"; + platforms.Add("win-x64"); + checkCUBLAS = true; break; case BuildTarget.StandaloneLinux64: - platform = "linux"; + platforms.Add("linux-x64"); + checkCUBLAS = true; break; case BuildTarget.StandaloneOSX: - platform = "macos"; + platforms.Add("osx-universal"); break; case BuildTarget.Android: - platform = "android"; + platforms.Add("android-arm64"); + platforms.Add("android-x64"); break; case BuildTarget.iOS: - platform = "ios"; + platforms.Add("ios-arm64"); break; case BuildTarget.VisionOS: - platform = "visionos"; + platforms.Add("visionos-arm64"); break; } foreach (string source in Directory.GetDirectories(LLMUnitySetup.libraryPath)) { string sourceName = Path.GetFileName(source); - bool move = !sourceName.StartsWith(platform); - move = move || (sourceName.Contains("cuda") && !sourceName.Contains("full") && LLMUnitySetup.FullLlamaLib); - move = move || (sourceName.Contains("cuda") && sourceName.Contains("full") && !LLMUnitySetup.FullLlamaLib); - if (move) + if (!platforms.Contains(sourceName)) { string target = Path.Combine(BuildTempDir, sourceName); MoveAction(source, target); @@ -202,32 +203,63 @@ public static void BuildLibraryPlatforms(BuildTarget buildTarget) } } + if (checkCUBLAS) + { + List exclusionKeywords = LLMUnitySetup.CUBLAS ? new List() { "tinyblas" } : new List() { "cublas", "cudart" }; + foreach (string platform in platforms) + { + string platformDir = Path.Combine(LLMUnitySetup.libraryPath, platform, "native"); + foreach (string source in Directory.GetFiles(platformDir)) + { + string sourceName = Path.GetFileName(source); + foreach (string exclusionKeyword in exclusionKeywords) + { + if (sourceName.Contains(exclusionKeyword)) + { + string target = Path.Combine(BuildTempDir, platform, "native", sourceName); + MoveAction(source, target); + MoveAction(source + ".meta", target + ".meta"); ; + break; + } + } + } + } + } + if (buildTarget == BuildTarget.Android || buildTarget == BuildTarget.iOS || buildTarget == BuildTarget.VisionOS) { - string source = Path.Combine(LLMUnitySetup.libraryPath, platform); - string target = PluginLibraryDir(buildTarget.ToString()); - string pluginDir = PluginDir(buildTarget.ToString()); - MoveAction(source, target); - MoveAction(source + ".meta", target + ".meta"); - AddActionAddMeta(pluginDir); + foreach (string platform in platforms) + { + string source = Path.Combine(LLMUnitySetup.libraryPath, platform, "native"); + string target = Path.Combine(PluginLibraryDir(buildTarget.ToString()), platform); + string pluginDir = PluginDir(buildTarget.ToString()); + MoveAction(source, target); + MoveAction(source + ".meta", target + ".meta"); + AddActionAddMeta(pluginDir); + } } } static void OnPostprocessAllAssets(string[] importedAssets, string[] deletedAssets, string[] movedAssets, string[] movedFromAssetPaths, bool didDomainReload) { - foreach (BuildTarget buildTarget in new BuildTarget[]{BuildTarget.iOS, BuildTarget.VisionOS}) + foreach (BuildTarget buildTarget in new BuildTarget[] { BuildTarget.iOS, BuildTarget.VisionOS, BuildTarget.Android }) { - string pathToPlugin = Path.Combine("Assets", PluginLibraryDir(buildTarget.ToString(), true), $"libundreamai_{buildTarget.ToString().ToLower()}.a"); - for (int i = 0; i < movedAssets.Length; i++) + string suffix = (buildTarget == BuildTarget.Android) ? "so" : "a"; + foreach (string platformDir in Directory.GetDirectories(Path.Combine("Assets", PluginLibraryDir(buildTarget.ToString(), true)))) { - if (movedAssets[i] == pathToPlugin) + string platform = Path.GetFileName(platformDir); + string pathToPlugin = Path.Combine(platformDir, $"libllamalib_{platform}.{suffix}"); + for (int i = 0; i < movedAssets.Length; i++) { - var importer = AssetImporter.GetAtPath(pathToPlugin) as PluginImporter; - if (importer != null && importer.isNativePlugin) + if (movedAssets[i] == pathToPlugin) { - importer.SetCompatibleWithPlatform(buildTarget, true); - importer.SetPlatformData(buildTarget, "CPU", "ARM64"); - AssetDatabase.ImportAsset(pathToPlugin); + var importer = AssetImporter.GetAtPath(pathToPlugin) as PluginImporter; + if (importer != null && importer.isNativePlugin) + { + importer.SetCompatibleWithPlatform(buildTarget, true); + importer.SetPlatformData(buildTarget, "CPU", platform.Split("_")[1].ToUpper()); + AssetDatabase.ImportAsset(pathToPlugin); + } } } } diff --git a/Runtime/LLMLib.cs b/Runtime/LLMLib.cs index f7417453..64e547e1 100644 --- a/Runtime/LLMLib.cs +++ b/Runtime/LLMLib.cs @@ -508,11 +508,11 @@ public static string GetArchitectureCheckerPath() string filename; if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) { - filename = $"windows-archchecker/archchecker.dll"; + filename = "win-x64/native/llamalib_win-x64_runtime.dll"; } else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) { - filename = $"linux-archchecker/libarchchecker.so"; + filename = "linux-x64/native/libllamalib_linux-x64_runtime.so"; } else { @@ -529,24 +529,24 @@ public static string GetArchitectureCheckerPath() public static List GetArchitectureDependencies(string arch) { List dependencies = new List(); - if (arch == "cuda-cu12.2.0-full") + if (arch == "cublas") { if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) { - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, $"windows-{arch}/cudart64_12.dll")); - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, $"windows-{arch}/cublasLt64_12.dll")); - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, $"windows-{arch}/cublas64_12.dll")); + dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "win-x64/native/cudart64_12.dll")); + dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "win-x64/native/cublasLt64_12.dll")); + dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "win-x64/native/cublas64_12.dll")); } } else if (arch == "vulkan") { if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) { - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, $"windows-{arch}/vulkan-1.dll")); + dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "win-x64/native/vulkan-1.dll")); } else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) { - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, $"linux-{arch}/libvulkan.so.1")); + dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "linux-x64/native/libvulkan.so.1")); } } return dependencies; @@ -560,17 +560,18 @@ public static List GetArchitectureDependencies(string arch) public static string GetArchitecturePath(string arch) { string filename; + string os = OSName(); if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) { - filename = $"windows-{arch}/undreamai_windows-{arch}.dll"; + filename = $"{os}/native/llamalib_${os}_{arch}.dll"; } else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) { - filename = $"linux-{arch}/libundreamai_linux-{arch}.so"; + filename = $"{os}/native/libllamalib_${os}_{arch}.so"; } else if (Application.platform == RuntimePlatform.OSXEditor || Application.platform == RuntimePlatform.OSXPlayer || Application.platform == RuntimePlatform.OSXServer) { - filename = $"macos-{arch}/libundreamai_macos-{arch}.dylib"; + filename = $"{os}/native/libllamalib_${os}_{arch}.dylib"; } else { @@ -634,6 +635,18 @@ public static string GetArchitecturePath(string arch) #endif + public static string OSName() + { + if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) + return "win-x64"; + else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) + return "linux-x64"; + else if (Application.platform == RuntimePlatform.OSXEditor || Application.platform == RuntimePlatform.OSXPlayer) + return "osx-universal"; + string error = "Unknown OS"; + LLMUnitySetup.LogError(error); + throw new Exception(error); + } /// /// Identifies the possible architectures that we can use based on the OS and GPU usage /// @@ -647,14 +660,8 @@ public static List PossibleArchitectures(bool gpu = false) { if (gpu) { - if (LLMUnitySetup.FullLlamaLib) - { - architectures.Add("cuda-cu12.2.0-full"); - } - else - { - architectures.Add("cuda-cu12.2.0"); - } + architectures.Add("cublas"); + architectures.Add("tinyblas"); architectures.Add("hip"); architectures.Add("vulkan"); } diff --git a/Runtime/LLMManager.cs b/Runtime/LLMManager.cs index 72e58a06..238fa80c 100644 --- a/Runtime/LLMManager.cs +++ b/Runtime/LLMManager.cs @@ -27,7 +27,7 @@ public class ModelEntry public bool includeInBuild; public int contextLength; - static List embeddingOnlyArchs = new List {"bert", "nomic-bert", "jina-bert-v2", "t5", "t5encoder"}; + static List embeddingOnlyArchs = new List { "bert", "nomic-bert", "jina-bert-v2", "t5", "t5encoder" }; /// /// Returns the relative asset path if it is in the AssetPath folder (StreamingAssets or persistentPath), otherwise the filename. @@ -98,7 +98,6 @@ public class LLMManagerStore public bool downloadOnStart; public List modelEntries; public int debugMode; - public bool fullLlamaLib; } /// \endcond @@ -167,7 +166,7 @@ public static async Task SetupOnce() else { target = LLMUnitySetup.GetDownloadAssetPath(modelEntry.filename); - downloads.Add(new StringPair {source = modelEntry.url, target = target}); + downloads.Add(new StringPair { source = modelEntry.url, target = target }); } } if (downloads.Count == 0) return true; @@ -327,7 +326,6 @@ public static void LoadFromDisk() downloadOnStart = store.downloadOnStart; modelEntries = store.modelEntries; LLMUnitySetup.DebugMode = (LLMUnitySetup.DebugModeType)store.debugMode; - LLMUnitySetup.FullLlamaLib = store.fullLlamaLib; } #if UNITY_EDITOR @@ -650,8 +648,7 @@ public static void SaveToDisk() { modelEntries = modelEntriesBuild, downloadOnStart = downloadOnStart, - debugMode = (int)LLMUnitySetup.DebugMode, - fullLlamaLib = LLMUnitySetup.FullLlamaLib + debugMode = (int)LLMUnitySetup.DebugMode }, true); File.WriteAllText(LLMUnitySetup.LLMManagerPath, json); } diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index afcb5010..baea2e6d 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -54,23 +54,23 @@ public DynamicRangeAttribute(string minVariable, string maxVariable, bool intOrF } } - public class LLMAttribute : PropertyAttribute {} - public class LocalRemoteAttribute : PropertyAttribute {} - public class RemoteAttribute : PropertyAttribute {} - public class LocalAttribute : PropertyAttribute {} - public class ModelAttribute : PropertyAttribute {} - public class ModelExtrasAttribute : PropertyAttribute {} - public class ChatAttribute : PropertyAttribute {} - public class LLMUnityAttribute : PropertyAttribute {} - - public class AdvancedAttribute : PropertyAttribute {} - public class LLMAdvancedAttribute : AdvancedAttribute {} - public class ModelAdvancedAttribute : AdvancedAttribute {} - public class ChatAdvancedAttribute : AdvancedAttribute {} + public class LLMAttribute : PropertyAttribute { } + public class LocalRemoteAttribute : PropertyAttribute { } + public class RemoteAttribute : PropertyAttribute { } + public class LocalAttribute : PropertyAttribute { } + public class ModelAttribute : PropertyAttribute { } + public class ModelExtrasAttribute : PropertyAttribute { } + public class ChatAttribute : PropertyAttribute { } + public class LLMUnityAttribute : PropertyAttribute { } + + public class AdvancedAttribute : PropertyAttribute { } + public class LLMAdvancedAttribute : AdvancedAttribute { } + public class ModelAdvancedAttribute : AdvancedAttribute { } + public class ChatAdvancedAttribute : AdvancedAttribute { } public class NotImplementedException : Exception { - public NotImplementedException() : base("The method needs to be implemented by subclasses.") {} + public NotImplementedException() : base("The method needs to be implemented by subclasses.") { } } public delegate void EmptyCallback(); @@ -103,17 +103,15 @@ public class LLMUnitySetup /// LLM for Unity version public static string Version = "v2.5.2"; /// LlamaLib version - public static string LlamaLibVersion = "v1.2.6"; + public static string LlamaLibVersion = "v2.0.0"; /// LlamaLib release url public static string LlamaLibReleaseURL = $"https://github.com/undreamai/LlamaLib/releases/download/{LlamaLibVersion}"; /// LlamaLib name - public static string libraryName = GetLibraryName(LlamaLibVersion); + public static string libraryName = $"LlamaLib-{LlamaLibVersion}"; /// LlamaLib path public static string libraryPath = GetAssetPath(libraryName); /// LlamaLib url public static string LlamaLibURL = $"{LlamaLibReleaseURL}/{libraryName}.zip"; - /// LlamaLib extension url - public static string LlamaLibExtensionURL = $"{LlamaLibReleaseURL}/{libraryName}-full.zip"; /// LLMnity store path public static string LLMUnityStore = Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "LLMUnity"); /// Model download path @@ -122,7 +120,8 @@ public class LLMUnitySetup public static string LLMManagerPath = GetAssetPath("LLMManager.json"); /// Default models for download - [HideInInspector] public static readonly Dictionary modelOptions = new Dictionary() + [HideInInspector] + public static readonly Dictionary modelOptions = new Dictionary() { {"Large models (more than 10B)", new(string, string, string)[] { @@ -168,8 +167,8 @@ public class LLMUnitySetup /// \cond HIDE [LLMUnity] public static DebugModeType DebugMode = DebugModeType.All; static string DebugModeKey = "DebugMode"; - public static bool FullLlamaLib = false; - static string FullLlamaLibKey = "FullLlamaLib"; + public static bool CUBLAS = false; + static string CUBLASKey = "CUBLAS"; static List> errorCallbacks = new List>(); static readonly object lockObject = new object(); static Dictionary androidExtractTasks = new Dictionary(); @@ -204,7 +203,7 @@ public static void LogError(string message) static void LoadPlayerPrefs() { DebugMode = (DebugModeType)PlayerPrefs.GetInt(DebugModeKey, (int)DebugModeType.All); - FullLlamaLib = PlayerPrefs.GetInt(FullLlamaLibKey, 0) == 1; + CUBLAS = PlayerPrefs.GetInt(CUBLASKey, 0) == 1; } public static void SetDebugMode(DebugModeType newDebugMode) @@ -216,22 +215,15 @@ public static void SetDebugMode(DebugModeType newDebugMode) } #if UNITY_EDITOR - public static void SetFullLlamaLib(bool value) + public static void SetCUBLAS(bool value) { - if (FullLlamaLib == value) return; - FullLlamaLib = value; - PlayerPrefs.SetInt(FullLlamaLibKey, value ? 1 : 0); + if (CUBLAS == value) return; + CUBLAS = value; + PlayerPrefs.SetInt(CUBLASKey, value ? 1 : 0); PlayerPrefs.Save(); - _ = DownloadLibrary(); } - #endif - public static string GetLibraryName(string version) - { - return $"undreamai-{version}-llamacpp"; - } - public static string GetAssetPath(string relPath = "") { string assetsDir = Application.platform == RuntimePlatform.Android ? Application.persistentDataPath : Application.streamingAssetsPath; @@ -303,7 +295,7 @@ public static async Task DownloadFile( callback?.Invoke(savePath); } - public static async Task AndroidExtractFile(string assetName, bool overwrite = false, bool log = true, int chunkSize = 1024*1024) + public static async Task AndroidExtractFile(string assetName, bool overwrite = false, bool log = true, int chunkSize = 1024 * 1024) { Task extractionTask; lock (lockObject) @@ -321,7 +313,7 @@ public static async Task AndroidExtractFile(string assetName, bool overwrite = f await extractionTask; } - public static async Task AndroidExtractFileOnce(string assetName, bool overwrite = false, bool log = true, int chunkSize = 1024*1024) + public static async Task AndroidExtractFileOnce(string assetName, bool overwrite = false, bool log = true, int chunkSize = 1024 * 1024) { string source = "jar:file://" + Application.dataPath + "!/assets/" + assetName; string target = GetAssetPath(assetName); @@ -411,14 +403,19 @@ public static void CreateEmptyFile(string path) File.Create(path).Dispose(); } - static void ExtractInsideDirectory(string zipPath, string extractPath, bool overwrite = true) + static void ExtractInsideDirectory(string zipPath, string extractPath, bool overwrite = true, string prefix = "runtimes/") { using (ZipArchive archive = ZipFile.OpenRead(zipPath)) { foreach (ZipArchiveEntry entry in archive.Entries) { - if (string.IsNullOrEmpty(entry.Name)) continue; - string destinationPath = Path.Combine(extractPath, entry.FullName); + string normalizedPath = entry.FullName.Replace('\\', '/'); + if (!normalizedPath.StartsWith(prefix, StringComparison.OrdinalIgnoreCase)) + continue; + if (string.IsNullOrEmpty(entry.Name)) + continue; // Skip directories + + string destinationPath = Path.Combine(extractPath, normalizedPath.Substring(prefix.Length)); Directory.CreateDirectory(Path.GetDirectoryName(destinationPath)); entry.ExtractToFile(destinationPath, overwrite); } @@ -445,24 +442,28 @@ static async Task DownloadAndExtractInsideDirectory(string url, string path, str static void DeleteEarlierVersions() { List assetPathSubDirs = new List(); - foreach (string dir in new string[] {GetAssetPath(), Path.Combine(Application.dataPath, "Plugins", "Android")}) + foreach (string dir in new string[] { GetAssetPath(), Path.Combine(Application.dataPath, "Plugins", "Android") }) { if (Directory.Exists(dir)) assetPathSubDirs.AddRange(Directory.GetDirectories(dir)); } - Regex regex = new Regex(GetLibraryName("(.+)")); + List versionRegexes = new List { new Regex("undreamai-(.+)-llamacpp"), new Regex("LlamaLib-(.+)") }; foreach (string assetPathSubDir in assetPathSubDirs) { - Match match = regex.Match(Path.GetFileName(assetPathSubDir)); - if (match.Success) + foreach (Regex regex in versionRegexes) { - string version = match.Groups[1].Value; - if (version != LlamaLibVersion) + Match match = regex.Match(Path.GetFileName(assetPathSubDir)); + if (match.Success) { - Debug.Log($"Deleting other LLMUnity version folder: {assetPathSubDir}"); - Directory.Delete(assetPathSubDir, true); - if (File.Exists(assetPathSubDir + ".meta")) File.Delete(assetPathSubDir + ".meta"); + string version = match.Groups[1].Value; + if (version != LlamaLibVersion) + { + Debug.Log($"Deleting other LLMUnity version folder: {assetPathSubDir}"); + Directory.Delete(assetPathSubDir, true); + if (File.Exists(assetPathSubDir + ".meta")) File.Delete(assetPathSubDir + ".meta"); + } } + } } } @@ -481,9 +482,6 @@ static async Task DownloadLibrary() // setup LlamaLib in StreamingAssets await DownloadAndExtractInsideDirectory(LlamaLibURL, libraryPath, setupDir); - - // setup LlamaLib extras in StreamingAssets - if (FullLlamaLib) await DownloadAndExtractInsideDirectory(LlamaLibExtensionURL, libraryPath, setupDir); } catch (Exception e) { @@ -511,7 +509,7 @@ public static string AddAsset(string assetPath) string filename = Path.GetFileName(assetPath); string fullPath = GetAssetPath(filename); AssetDatabase.StartAssetEditing(); - foreach (string path in new string[] {fullPath, fullPath + ".meta"}) + foreach (string path in new string[] { fullPath, fullPath + ".meta" }) { if (File.Exists(path)) File.Delete(path); } @@ -627,7 +625,7 @@ public static int AndroidGetNumBigCores() int maxFreqKHz = GetMaxFreqKHz(coreIndex); cpuMaxFreqKHz.Add(maxFreqKHz); if (maxFreqKHz > maxFreqKHzMax) maxFreqKHzMax = maxFreqKHz; - if (maxFreqKHz < maxFreqKHzMin) maxFreqKHzMin = maxFreqKHz; + if (maxFreqKHz < maxFreqKHzMin) maxFreqKHzMin = maxFreqKHz; cpuIsSmtCpu.Add(IsSmtCpu(coreIndex)); } } diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 4f3210ef..68463514 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -9,41 +9,9 @@ using System.Linq; using System.Threading; using UnityEngine.TestTools; -using UnityEditor; -using UnityEditor.TestTools.TestRunner.Api; namespace LLMUnityTests { - [InitializeOnLoad] - public static class TestRunListener - { - static TestRunListener() - { - var api = ScriptableObject.CreateInstance(); - api.RegisterCallbacks(new TestRunCallbacks()); - } - } - - public class TestRunCallbacks : ICallbacks - { - public void RunStarted(ITestAdaptor testsToRun) {} - - public void RunFinished(ITestResultAdaptor result) - { - LLMUnitySetup.FullLlamaLib = false; - } - - public void TestStarted(ITestAdaptor test) - { - LLMUnitySetup.FullLlamaLib = test.FullName.Contains("CUDA_full"); - } - - public void TestFinished(ITestResultAdaptor result) - { - LLMUnitySetup.FullLlamaLib = false; - } - } - public class TestLLMLoraAssignment { [Test] From 0f94f6f32a673aa04469908921ae0c8941532bde Mon Sep 17 00:00:00 2001 From: amakropoulos Date: Wed, 13 Aug 2025 16:01:08 +0000 Subject: [PATCH 02/69] update VERSION --- .github/doxygen/Doxyfile | 2 +- README.md | 2 +- Runtime/LLMUnitySetup.cs | 2 +- VERSION | 2 +- package.json | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/doxygen/Doxyfile b/.github/doxygen/Doxyfile index 067bc80c..3786c0a5 100644 --- a/.github/doxygen/Doxyfile +++ b/.github/doxygen/Doxyfile @@ -48,7 +48,7 @@ PROJECT_NAME = "LLM for Unity" # could be handy for archiving the generated documentation or if some version # control system is used. -PROJECT_NUMBER = v2.5.2 +PROJECT_NUMBER = v3.0.0 # Using the PROJECT_BRIEF tag one can provide an optional one line description # for a project that appears at the top of each page and should give viewer a diff --git a/README.md b/README.md index 603e5e29..53666775 100644 --- a/README.md +++ b/README.md @@ -359,7 +359,7 @@ To create the server: Alternatively you can use a server binary for easier deployment: - Run the above scene from the Editor and copy the command from the Debug messages (starting with "Server command:") -- Download the [server binaries](https://github.com/undreamai/LlamaLib/releases/download/v1.2.6/undreamai-v1.2.6-server.zip) and [DLLs](https://github.com/undreamai/LlamaLib/releases/download/v1.2.6/undreamai-v1.2.6-llamacpp-full.zip) and extract them into the same folder +- Download the [server binaries](https://github.com/undreamai/LlamaLib/releases/download/v2.0.0/undreamai-v2.0.0-server.zip) and [DLLs](https://github.com/undreamai/LlamaLib/releases/download/v2.0.0/undreamai-v2.0.0-llamacpp-full.zip) and extract them into the same folder - Find the architecture you are interested in from the folder above e.g. for Windows and CUDA use the `windows-cuda-cu12.2.0`.
You can also check the architecture that works for your system from the Debug messages (starting with "Using architecture"). - From command line change directory to the architecture folder selected and start the server by running the command copied from above. diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index baea2e6d..445e1b78 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -101,7 +101,7 @@ public class LLMUnitySetup { // DON'T CHANGE! the version is autocompleted with a GitHub action /// LLM for Unity version - public static string Version = "v2.5.2"; + public static string Version = "v3.0.0"; /// LlamaLib version public static string LlamaLibVersion = "v2.0.0"; /// LlamaLib release url diff --git a/VERSION b/VERSION index f6dcb643..ad55eb85 100644 --- a/VERSION +++ b/VERSION @@ -1 +1 @@ -v2.5.2 +v3.0.0 diff --git a/package.json b/package.json index 7095e04a..c35b1392 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "ai.undream.llm", - "version": "2.5.2", + "version": "3.0.0", "displayName": "LLM for Unity", "description": "LLM for Unity allows to run and distribute Large Language Models (LLMs) in the Unity engine.", "unity": "2022.3", From 728babc9c1018cabc11c09ea4d01480e7a038e2c Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Fri, 15 Aug 2025 04:08:44 +0300 Subject: [PATCH 03/69] working setup --- Runtime/LLMUnitySetup.cs | 51 +++++++++++++++++++++++----------------- 1 file changed, 30 insertions(+), 21 deletions(-) diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index 445e1b78..512b39b7 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -54,23 +54,23 @@ public DynamicRangeAttribute(string minVariable, string maxVariable, bool intOrF } } - public class LLMAttribute : PropertyAttribute { } - public class LocalRemoteAttribute : PropertyAttribute { } - public class RemoteAttribute : PropertyAttribute { } - public class LocalAttribute : PropertyAttribute { } - public class ModelAttribute : PropertyAttribute { } - public class ModelExtrasAttribute : PropertyAttribute { } - public class ChatAttribute : PropertyAttribute { } - public class LLMUnityAttribute : PropertyAttribute { } - - public class AdvancedAttribute : PropertyAttribute { } - public class LLMAdvancedAttribute : AdvancedAttribute { } - public class ModelAdvancedAttribute : AdvancedAttribute { } - public class ChatAdvancedAttribute : AdvancedAttribute { } + public class LLMAttribute : PropertyAttribute {} + public class LocalRemoteAttribute : PropertyAttribute {} + public class RemoteAttribute : PropertyAttribute {} + public class LocalAttribute : PropertyAttribute {} + public class ModelAttribute : PropertyAttribute {} + public class ModelExtrasAttribute : PropertyAttribute {} + public class ChatAttribute : PropertyAttribute {} + public class LLMUnityAttribute : PropertyAttribute {} + + public class AdvancedAttribute : PropertyAttribute {} + public class LLMAdvancedAttribute : AdvancedAttribute {} + public class ModelAdvancedAttribute : AdvancedAttribute {} + public class ChatAdvancedAttribute : AdvancedAttribute {} public class NotImplementedException : Exception { - public NotImplementedException() : base("The method needs to be implemented by subclasses.") { } + public NotImplementedException() : base("The method needs to be implemented by subclasses.") {} } public delegate void EmptyCallback(); @@ -222,6 +222,7 @@ public static void SetCUBLAS(bool value) PlayerPrefs.SetInt(CUBLASKey, value ? 1 : 0); PlayerPrefs.Save(); } + #endif public static string GetAssetPath(string relPath = "") @@ -403,19 +404,28 @@ public static void CreateEmptyFile(string path) File.Create(path).Dispose(); } - static void ExtractInsideDirectory(string zipPath, string extractPath, bool overwrite = true, string prefix = "runtimes/") + static void ExtractInsideDirectory(string zipPath, string extractPath, string prefix = "", bool overwrite = true) { using (ZipArchive archive = ZipFile.OpenRead(zipPath)) { foreach (ZipArchiveEntry entry in archive.Entries) { - string normalizedPath = entry.FullName.Replace('\\', '/'); - if (!normalizedPath.StartsWith(prefix, StringComparison.OrdinalIgnoreCase)) - continue; if (string.IsNullOrEmpty(entry.Name)) continue; // Skip directories - string destinationPath = Path.Combine(extractPath, normalizedPath.Substring(prefix.Length)); + string destinationPath; + if (!String.IsNullOrEmpty(prefix)) + { + string normalizedPath = entry.FullName.Replace('\\', '/'); + if (!normalizedPath.StartsWith(prefix, StringComparison.OrdinalIgnoreCase)) + continue; + destinationPath = Path.Combine(extractPath, normalizedPath.Substring(prefix.Length)); + } + else + { + destinationPath = Path.Combine(extractPath, entry.FullName); + } + Directory.CreateDirectory(Path.GetDirectoryName(destinationPath)); entry.ExtractToFile(destinationPath, overwrite); } @@ -432,7 +442,7 @@ static async Task DownloadAndExtractInsideDirectory(string url, string path, str await DownloadFile(url, zipPath, true, null, SetLibraryProgress); AssetDatabase.StartAssetEditing(); - ExtractInsideDirectory(zipPath, path); + ExtractInsideDirectory(zipPath, path, $"{libraryName}/runtimes/"); CreateEmptyFile(setupFile); AssetDatabase.StopAssetEditing(); @@ -463,7 +473,6 @@ static void DeleteEarlierVersions() if (File.Exists(assetPathSubDir + ".meta")) File.Delete(assetPathSubDir + ".meta"); } } - } } } From ddc67c6986ad61a850315590896275a50272995a Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Fri, 15 Aug 2025 04:10:12 +0300 Subject: [PATCH 04/69] fix platform paths on postprocess --- Runtime/LLMBuilder.cs | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/Runtime/LLMBuilder.cs b/Runtime/LLMBuilder.cs index 8684c39e..9d595c2a 100644 --- a/Runtime/LLMBuilder.cs +++ b/Runtime/LLMBuilder.cs @@ -218,7 +218,7 @@ public static void BuildLibraryPlatforms(BuildTarget buildTarget) { string target = Path.Combine(BuildTempDir, platform, "native", sourceName); MoveAction(source, target); - MoveAction(source + ".meta", target + ".meta"); ; + MoveAction(source + ".meta", target + ".meta"); break; } } @@ -245,10 +245,12 @@ static void OnPostprocessAllAssets(string[] importedAssets, string[] deletedAsse foreach (BuildTarget buildTarget in new BuildTarget[] { BuildTarget.iOS, BuildTarget.VisionOS, BuildTarget.Android }) { string suffix = (buildTarget == BuildTarget.Android) ? "so" : "a"; - foreach (string platformDir in Directory.GetDirectories(Path.Combine("Assets", PluginLibraryDir(buildTarget.ToString(), true)))) + string platformDir = Path.Combine("Assets", PluginLibraryDir(buildTarget.ToString(), true)); + if (!Directory.Exists(platformDir)) continue; + foreach (string archDir in Directory.GetDirectories(platformDir)) { - string platform = Path.GetFileName(platformDir); - string pathToPlugin = Path.Combine(platformDir, $"libllamalib_{platform}.{suffix}"); + string arch = Path.GetFileName(archDir); + string pathToPlugin = Path.Combine(platformDir, $"libllamalib_{arch}.{suffix}"); for (int i = 0; i < movedAssets.Length; i++) { if (movedAssets[i] == pathToPlugin) @@ -257,7 +259,7 @@ static void OnPostprocessAllAssets(string[] importedAssets, string[] deletedAsse if (importer != null && importer.isNativePlugin) { importer.SetCompatibleWithPlatform(buildTarget, true); - importer.SetPlatformData(buildTarget, "CPU", platform.Split("_")[1].ToUpper()); + importer.SetPlatformData(buildTarget, "CPU", arch.Split("_")[1].ToUpper()); AssetDatabase.ImportAsset(pathToPlugin); } } From ff1afde56d9749664242eae83d82d68bee27f201 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Fri, 15 Aug 2025 04:11:13 +0300 Subject: [PATCH 05/69] initial working LLM with LlamaLib --- Runtime/LLM.cs | 521 +++++++++++++++------------------------ Tests/Runtime/TestLLM.cs | 10 +- 2 files changed, 207 insertions(+), 324 deletions(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index 06d5bc25..e7aa7d57 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -5,6 +5,7 @@ using System.IO; using System.Threading; using System.Threading.Tasks; +using UndreamAI.LlamaLib; using UnityEditor; using UnityEngine; @@ -88,14 +89,12 @@ public class LLM : MonoBehaviour /// \cond HIDE public int minContextLength = 0; public int maxContextLength = 0; - public string architecture => llmlib.architecture; - IntPtr LLMObject = IntPtr.Zero; + public string architecture => llmlib?.architecture; List clients = new List(); - LLMLib llmlib; - StreamWrapper logStreamWrapper = null; + LlamaLib llmlib; + LLMService llmService = null; Thread llmThread = null; - List streamWrappers = new List(); public LLMManager llmManager = new LLMManager(); private readonly object startLock = new object(); static readonly object staticLock = new object(); @@ -124,7 +123,7 @@ void OnValidate() /// /// The Unity Awake function that starts the LLM server. /// - public async void Awake() + public void Awake() { if (!enabled) return; #if !UNITY_EDITOR @@ -136,15 +135,139 @@ public async void Awake() failed = true; return; } - string arguments = GetLlamaccpArguments(); - if (arguments == null) + + StartService(); + if (!started) return; + if (dontDestroyOnLoad) DontDestroyOnLoad(transform.root.gameObject); + } + + private void CheckParameters() + { + if ((SSLCert != "" && SSLKey == "") || (SSLCert == "" && SSLKey != "")) + { + throw new ArgumentException($"Both SSL certificate and key need to be provided!"); + } + } + + private string GetModelPath() + { + if (model == "") + { + throw new ArgumentException("No model file provided!"); + } + + string modelPath = GetLLMManagerAssetRuntime(model); + if (!File.Exists(modelPath)) { + throw new ArgumentException($"File {modelPath} not found!"); + } + return modelPath; + } + + private List GetLoraPaths() + { + loraManager.FromStrings(lora, loraWeights); + List loraPaths = new List(); + foreach (string lora in loraManager.GetLoras()) + { + string loraPath = GetLLMManagerAssetRuntime(lora); + if (!File.Exists(loraPath)) + { + throw new ArgumentException($"File {loraPath} not found!"); + } + loraPaths.Add(loraPath); + } + return loraPaths; + } + + private void StartService() + { + started = false; + failed = false; + + string modelPath; + List loraPaths; + try + { + CheckParameters(); + modelPath = GetModelPath(); + loraPaths = GetLoraPaths(); + } + catch (ArgumentException ex) + { + LLMUnitySetup.LogError(ex.Message); + return; + } + + try + { + CreateLib(); + CreateService(modelPath, loraPaths); + } + catch (Exception e) + { + LLMUnitySetup.LogError($"LLM service couldn't be created, error: {e.Message}"); + Destroy(); failed = true; return; } - await Task.Run(() => StartLLMServer(arguments)); + LLMUnitySetup.Log($"LLM service created, using {architecture}"); + } + + private void CreateLib() + { + bool useGPU = numGPULayers > 0; + llmlib = new LlamaLibUnity(useGPU); + if (debug) + { + //todo + LlamaLibUnity.Debug(2); + LlamaLibUnity.LoggingCallback(LLMUnitySetup.Log); + } + } + + // the following is the equivalent for running from command line + // string serverCommand; + // if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer) serverCommand = "undreamai_server.exe"; + // else serverCommand = "./undreamai_server"; + // serverCommand += " " + arguments; + // serverCommand += $" --template \"{chatTemplate}\""; + // if (remote && SSLCert != "" && SSLKey != "") serverCommand += $" --ssl-cert-file {SSLCertPath} --ssl-key-file {SSLKeyPath}"; + // LLMUnitySetup.Log($"Deploy server command: {serverCommand}"); + + private void CreateService(string modelPath, List loraPaths) + { + int numSlots = GetNumClients(); + int numThreadsToUse = numThreads; + if (Application.platform == RuntimePlatform.Android && numThreads <= 0) numThreadsToUse = LLMUnitySetup.AndroidGetNumBigCores(); + + lock (staticLock) + { + System.IntPtr llm = LLMService.CreateLLM( + llmlib, + modelPath, numSlots, numThreadsToUse, numGPULayers, + flashAttention, contextSize, batchSize, embeddingsOnly, loraPaths.ToArray()); + + llmService = new LLMService(llmlib, llm); + if (remote) + { + if (SSLCert != "" && SSLKey != "") + { + LLMUnitySetup.Log("Using SSL"); + llmService.SetSSL(SSLCert, SSLKey); + } + llmService.StartServer("", port, APIKey); + } + + llmService.Start(); + } + + started = llmService.Started(); if (!started) return; - if (dontDestroyOnLoad) DontDestroyOnLoad(transform.root.gameObject); + + ApplyLoras(); + //todo + // llmService.SetTemplate(chatTemplate); } /// @@ -338,7 +461,7 @@ public void UpdateLoras() public void SetTemplate(string templateName, bool setDirty = true) { chatTemplate = templateName; - if (started) llmlib?.LLM_SetTemplate(LLMObject, chatTemplate); + if (started) llmService.SetTemplate(chatTemplate); #if UNITY_EDITOR if (setDirty && !EditorApplication.isPlaying) EditorUtility.SetDirty(this); #endif @@ -402,165 +525,6 @@ public string GetTemplate() return chatTemplate; } - protected virtual string GetLlamaccpArguments() - { - // Start the LLM server in a cross-platform way - if ((SSLCert != "" && SSLKey == "") || (SSLCert == "" && SSLKey != "")) - { - LLMUnitySetup.LogError($"Both SSL certificate and key need to be provided!"); - return null; - } - - if (model == "") - { - LLMUnitySetup.LogError("No model file provided!"); - return null; - } - string modelPath = GetLLMManagerAssetRuntime(model); - if (!File.Exists(modelPath)) - { - LLMUnitySetup.LogError($"File {modelPath} not found!"); - return null; - } - - loraManager.FromStrings(lora, loraWeights); - string loraArgument = ""; - foreach (string lora in loraManager.GetLoras()) - { - string loraPath = GetLLMManagerAssetRuntime(lora); - if (!File.Exists(loraPath)) - { - LLMUnitySetup.LogError($"File {loraPath} not found!"); - return null; - } - loraArgument += $" --lora \"{loraPath}\""; - } - - int numThreadsToUse = numThreads; - if (Application.platform == RuntimePlatform.Android && numThreads <= 0) numThreadsToUse = LLMUnitySetup.AndroidGetNumBigCores(); - - int slots = GetNumClients(); - string arguments = $"-m \"{modelPath}\" -c {contextSize} -b {batchSize} --log-disable -np {slots}"; - if (embeddingsOnly) arguments += " --embedding"; - if (numThreadsToUse > 0) arguments += $" -t {numThreadsToUse}"; - arguments += loraArgument; - if (numGPULayers > 0) arguments += $" -ngl {numGPULayers}"; - if (flashAttention) arguments += $" --flash-attn"; - if (remote) - { - arguments += $" --port {port} --host 0.0.0.0"; - if (!String.IsNullOrEmpty(APIKey)) arguments += $" --api-key {APIKey}"; - } - - // the following is the equivalent for running from command line - string serverCommand; - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer) serverCommand = "undreamai_server.exe"; - else serverCommand = "./undreamai_server"; - serverCommand += " " + arguments; - serverCommand += $" --template \"{chatTemplate}\""; - if (remote && SSLCert != "" && SSLKey != "") serverCommand += $" --ssl-cert-file {SSLCertPath} --ssl-key-file {SSLKeyPath}"; - LLMUnitySetup.Log($"Deploy server command: {serverCommand}"); - return arguments; - } - - private void SetupLogging() - { - logStreamWrapper = ConstructStreamWrapper(LLMUnitySetup.LogWarning, true); - llmlib?.Logging(logStreamWrapper.GetStringWrapper()); - } - - private void StopLogging() - { - if (logStreamWrapper == null) return; - llmlib?.StopLogging(); - DestroyStreamWrapper(logStreamWrapper); - } - - private void StartLLMServer(string arguments) - { - started = false; - failed = false; - bool useGPU = numGPULayers > 0; - - foreach (string arch in LLMLib.PossibleArchitectures(useGPU)) - { - string error; - try - { - InitLib(arch); - InitService(arguments); - LLMUnitySetup.Log($"Using architecture: {arch}"); - break; - } - catch (LLMException e) - { - error = e.Message; - Destroy(); - } - catch (DestroyException) - { - break; - } - catch (Exception e) - { - error = $"{e.GetType()}: {e.Message}"; - } - LLMUnitySetup.Log($"Tried architecture: {arch}, error: " + error); - } - if (llmlib == null) - { - LLMUnitySetup.LogError("LLM service couldn't be created"); - failed = true; - return; - } - CallWithLock(StartService); - LLMUnitySetup.Log("LLM service created"); - } - - private void InitLib(string arch) - { - llmlib = new LLMLib(arch); - CheckLLMStatus(false); - } - - void CallWithLock(EmptyCallback fn) - { - lock (startLock) - { - if (llmlib == null) throw new DestroyException(); - fn(); - } - } - - private void InitService(string arguments) - { - lock (staticLock) - { - if (debug) CallWithLock(SetupLogging); - CallWithLock(() => { LLMObject = llmlib.LLM_Construct(arguments); }); - CallWithLock(() => llmlib.LLM_SetTemplate(LLMObject, chatTemplate)); - if (remote) - { - if (SSLCert != "" && SSLKey != "") - { - LLMUnitySetup.Log("Using SSL"); - CallWithLock(() => llmlib.LLM_SetSSL(LLMObject, SSLCert, SSLKey)); - } - CallWithLock(() => llmlib.LLM_StartServer(LLMObject)); - } - CallWithLock(() => CheckLLMStatus(false)); - } - } - - private void StartService() - { - llmThread = new Thread(() => llmlib.LLM_Start(LLMObject)); - llmThread.Start(); - while (!llmlib.LLM_Started(LLMObject)) { } - ApplyLoras(); - started = true; - } - /// /// Registers a local LLMCaller object. /// This allows to bind the LLMCaller "client" to a specific slot of the LLM. @@ -580,32 +544,6 @@ protected int GetNumClients() return Math.Max(parallelPrompts == -1 ? clients.Count : parallelPrompts, 1); } - /// \cond HIDE - public delegate void LLMStatusCallback(IntPtr LLMObject, IntPtr stringWrapper); - public delegate void LLMNoInputReplyCallback(IntPtr LLMObject, IntPtr stringWrapper); - public delegate void LLMReplyCallback(IntPtr LLMObject, string json_data, IntPtr stringWrapper); - /// \endcond - - StreamWrapper ConstructStreamWrapper(Callback streamCallback = null, bool clearOnUpdate = false) - { - StreamWrapper streamWrapper = new StreamWrapper(llmlib, streamCallback, clearOnUpdate); - streamWrappers.Add(streamWrapper); - return streamWrapper; - } - - void DestroyStreamWrapper(StreamWrapper streamWrapper) - { - streamWrappers.Remove(streamWrapper); - streamWrapper.Destroy(); - } - - /// - /// The Unity Update function. It is used to retrieve the LLM replies. - public void Update() - { - foreach (StreamWrapper streamWrapper in streamWrappers) streamWrapper.Update(); - } - void AssertStarted() { string error = null; @@ -628,45 +566,20 @@ void AssertNotStarted() } } - void CheckLLMStatus(bool log = true) + /// + /// Sets the lora scale, only works after the LLM service has started + /// + /// switch result + public void ApplyLoras() { - if (llmlib == null) { return; } - IntPtr stringWrapper = llmlib.StringWrapper_Construct(); - int status = llmlib.LLM_Status(LLMObject, stringWrapper); - string result = llmlib.GetStringWrapperResult(stringWrapper); - llmlib.StringWrapper_Delete(stringWrapper); - string message = $"LLM {status}: {result}"; - if (status > 0) - { - if (log) LLMUnitySetup.LogError(message); - throw new LLMException(message, status); - } - else if (status < 0) + List loras = new List(); + float[] weights = loraManager.GetWeights(); + if (weights.Length == 0) return; + for (int i = 0; i < weights.Length; i++) { - if (log) LLMUnitySetup.LogWarning(message); + loras.Add(new LoraIdScale(i, weights[i])); } - } - - async Task LLMNoInputReply(LLMNoInputReplyCallback callback) - { - AssertStarted(); - IntPtr stringWrapper = llmlib.StringWrapper_Construct(); - await Task.Run(() => callback(LLMObject, stringWrapper)); - string result = llmlib?.GetStringWrapperResult(stringWrapper); - llmlib?.StringWrapper_Delete(stringWrapper); - CheckLLMStatus(); - return result; - } - - async Task LLMReply(LLMReplyCallback callback, string json) - { - AssertStarted(); - IntPtr stringWrapper = llmlib.StringWrapper_Construct(); - await Task.Run(() => callback(LLMObject, json, stringWrapper)); - string result = llmlib?.GetStringWrapperResult(stringWrapper); - llmlib?.StringWrapper_Delete(stringWrapper); - CheckLLMStatus(); - return result; + llmService.LoraWeight(loras); } /// @@ -674,14 +587,10 @@ async Task LLMReply(LLMReplyCallback callback, string json) /// /// json request containing the query /// tokenisation result - public async Task Tokenize(string json) + public List Tokenize(string content) { AssertStarted(); - LLMReplyCallback callback = (IntPtr LLMObject, string jsonData, IntPtr strWrapper) => - { - llmlib.LLM_Tokenize(LLMObject, jsonData, strWrapper); - }; - return await LLMReply(callback, json); + return llmService.Tokenize(content); } /// @@ -689,14 +598,10 @@ public async Task Tokenize(string json) /// /// json request containing the query /// detokenisation result - public async Task Detokenize(string json) + public string Detokenize(List tokens) { AssertStarted(); - LLMReplyCallback callback = (IntPtr LLMObject, string jsonData, IntPtr strWrapper) => - { - llmlib.LLM_Detokenize(LLMObject, jsonData, strWrapper); - }; - return await LLMReply(callback, json); + return llmService.Detokenize(tokens); } /// @@ -704,56 +609,31 @@ public async Task Detokenize(string json) /// /// json request containing the query /// embeddings result - public async Task Embeddings(string json) + public List Embeddings(string content) { AssertStarted(); - LLMReplyCallback callback = (IntPtr LLMObject, string jsonData, IntPtr strWrapper) => - { - llmlib.LLM_Embeddings(LLMObject, jsonData, strWrapper); - }; - return await LLMReply(callback, json); + return llmService.Embeddings(content); } /// - /// Sets the lora scale, only works after the LLM service has started + /// Gets a list of the lora adapters /// - /// switch result - public void ApplyLoras() + /// list of lara adapters + public List ListLoras() { - LoraWeightRequestList loraWeightRequest = new LoraWeightRequestList(); - loraWeightRequest.loraWeights = new List(); - float[] weights = loraManager.GetWeights(); - if (weights.Length == 0) return; - for (int i = 0; i < weights.Length; i++) - { - loraWeightRequest.loraWeights.Add(new LoraWeightRequest() { id = i, scale = weights[i] }); - } - - string json = JsonUtility.ToJson(loraWeightRequest); - int startIndex = json.IndexOf("["); - int endIndex = json.LastIndexOf("]") + 1; - json = json.Substring(startIndex, endIndex - startIndex); - - IntPtr stringWrapper = llmlib.StringWrapper_Construct(); - llmlib.LLM_LoraWeight(LLMObject, json, stringWrapper); - llmlib.StringWrapper_Delete(stringWrapper); + AssertStarted(); + return llmService.LoraList(); } /// - /// Gets a list of the lora adapters + /// Allows to save / restore the state of a slot /// - /// list of lara adapters - public async Task> ListLoras() + /// json request containing the query + /// slot result + public string SaveSlot(int idSlot, string filepath) { AssertStarted(); - LLMNoInputReplyCallback callback = (IntPtr LLMObject, IntPtr strWrapper) => - { - llmlib.LLM_LoraList(LLMObject, strWrapper); - }; - string json = await LLMNoInputReply(callback); - if (String.IsNullOrEmpty(json)) return null; - LoraWeightResultList loraRequest = JsonUtility.FromJson("{\"loraWeights\": " + json + "}"); - return loraRequest.loraWeights; + return llmService.SaveSlot(idSlot, filepath); } /// @@ -761,14 +641,10 @@ public async Task> ListLoras() /// /// json request containing the query /// slot result - public async Task Slot(string json) + public string LoadSlot(int idSlot, string filepath) { AssertStarted(); - LLMReplyCallback callback = (IntPtr LLMObject, string jsonData, IntPtr strWrapper) => - { - llmlib.LLM_Slot(LLMObject, jsonData, strWrapper); - }; - return await LLMReply(callback, json); + return llmService.LoadSlot(idSlot, filepath); } /// @@ -777,18 +653,16 @@ public async Task Slot(string json) /// json request containing the query /// callback function to call with intermediate responses /// completion result - public async Task Completion(string json, Callback streamCallback = null) + public string Completion(string prompt, LlamaLibUnity.CharArrayCallback streamCallback = null, int id_slot = -1) { AssertStarted(); - if (streamCallback == null) streamCallback = (string s) => { }; - StreamWrapper streamWrapper = ConstructStreamWrapper(streamCallback); - await Task.Run(() => llmlib.LLM_Completion(LLMObject, json, streamWrapper.GetStringWrapper())); - if (!started) return null; - streamWrapper.Update(); - string result = streamWrapper.GetString(); - DestroyStreamWrapper(streamWrapper); - CheckLLMStatus(); - return result; + return llmService.Completion(prompt, streamCallback, id_slot); + } + + public async Task CompletionAsync(string prompt, LlamaLibUnity.CharArrayCallback streamCallback = null, int id_slot = -1) + { + AssertStarted(); + return await llmService.CompletionAsync(prompt, streamCallback, id_slot); } /// @@ -798,8 +672,7 @@ public async Task Completion(string json, Callback streamCallbac public void CancelRequest(int id_slot) { AssertStarted(); - llmlib?.LLM_Cancel(LLMObject, id_slot); - CheckLLMStatus(); + llmService.Cancel(id_slot); } /// @@ -808,32 +681,27 @@ public void CancelRequest(int id_slot) public void Destroy() { lock (staticLock) - lock (startLock) + { + try { - try + if (llmlib != null) { - if (llmlib != null) + if (llmService != null) { - if (LLMObject != IntPtr.Zero) - { - llmlib.LLM_Stop(LLMObject); - if (remote) llmlib.LLM_StopServer(LLMObject); - StopLogging(); - llmThread?.Join(); - llmlib.LLM_Delete(LLMObject); - LLMObject = IntPtr.Zero; - } - llmlib.Destroy(); - llmlib = null; + Debug.Log("stopping"); + llmService.Dispose(); + Debug.Log("Dispose"); } - started = false; - failed = false; - } - catch (Exception e) - { - LLMUnitySetup.LogError(e.Message); + llmlib = null; } + started = false; + failed = false; } + catch (Exception e) + { + LLMUnitySetup.LogError(e.Message); + } + } } /// @@ -846,4 +714,19 @@ public void OnDestroy() LLMManager.Unregister(this); } } + + + public class LlamaLibUnity : UndreamAI.LlamaLib.LlamaLib + { + public LlamaLibUnity(bool gpu = false) : base(gpu) {} + + public override string FindLibrary(string libraryName) + { + string lookupDir = Path.Combine(LLMUnitySetup.libraryPath, GetPlatform(), "native"); + string libraryPath = Path.Combine(lookupDir, libraryName); + if (File.Exists(libraryPath)) return libraryPath; + + throw new System.Exception($"Library {libraryName} not found!"); + } + } } diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 68463514..910c3dda 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -399,10 +399,10 @@ public override async Task Tests() { await base.Tests(); TestModelPaths(); - await TestLoraWeight(); + TestLoraWeight(); loraWeight = 0.6f; llm.SetLoraWeight(loraNameLLManager, loraWeight); - await TestLoraWeight(); + TestLoraWeight(); } public void TestModelPaths() @@ -411,10 +411,10 @@ public void TestModelPaths() Assert.AreEqual(llm.lora, Path.Combine(LLMUnitySetup.modelDownloadPath, Path.GetFileName(loraUrl).Split("?")[0]).Replace('\\', '/')); } - public async Task TestLoraWeight() + public void TestLoraWeight() { - List loras = await llm.ListLoras(); - Assert.AreEqual(loras[0].scale, loraWeight); + List loras = llm.ListLoras(); + Assert.AreEqual(loras[0].Scale, loraWeight); } } From 00a76ec1ead216dd0a2da07807b42d640c3da9e2 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Fri, 15 Aug 2025 04:11:41 +0300 Subject: [PATCH 06/69] add NewtonSoft JSON dependency --- package.json | 3 +++ 1 file changed, 3 insertions(+) diff --git a/package.json b/package.json index c35b1392..0dea1d41 100644 --- a/package.json +++ b/package.json @@ -61,6 +61,9 @@ "path": "Samples~/KnowledgeBaseGame" } ], + "dependencies": { + "com.unity.nuget.newtonsoft-json": "3.0.2" + }, "author": { "name": "Undream AI", "email": "hello@undream.ai", From bd1ec6dfa7de2d7d95c435ca17c323bbdfd58817 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Fri, 15 Aug 2025 04:12:12 +0300 Subject: [PATCH 07/69] add LlamaLib --- Runtime/LlamaLib.meta | 8 + Runtime/LlamaLib/LLM.cs | 422 ++++++++++++++ Runtime/LlamaLib/LLM.cs.meta | 11 + Runtime/LlamaLib/LLMAgent.cs | 300 ++++++++++ Runtime/LlamaLib/LLMAgent.cs.meta | 11 + Runtime/LlamaLib/LLMClient.cs | 49 ++ Runtime/LlamaLib/LLMClient.cs.meta | 11 + Runtime/LlamaLib/LLMService.cs | 130 +++++ Runtime/LlamaLib/LLMService.cs.meta | 11 + Runtime/LlamaLib/LibraryLoader.cs | 221 +++++++ Runtime/LlamaLib/LibraryLoader.cs.meta | 11 + Runtime/LlamaLib/LlamaLib.cs | 769 +++++++++++++++++++++++++ Runtime/LlamaLib/LlamaLib.cs.meta | 11 + 13 files changed, 1965 insertions(+) create mode 100644 Runtime/LlamaLib.meta create mode 100644 Runtime/LlamaLib/LLM.cs create mode 100644 Runtime/LlamaLib/LLM.cs.meta create mode 100644 Runtime/LlamaLib/LLMAgent.cs create mode 100644 Runtime/LlamaLib/LLMAgent.cs.meta create mode 100644 Runtime/LlamaLib/LLMClient.cs create mode 100644 Runtime/LlamaLib/LLMClient.cs.meta create mode 100644 Runtime/LlamaLib/LLMService.cs create mode 100644 Runtime/LlamaLib/LLMService.cs.meta create mode 100644 Runtime/LlamaLib/LibraryLoader.cs create mode 100644 Runtime/LlamaLib/LibraryLoader.cs.meta create mode 100644 Runtime/LlamaLib/LlamaLib.cs create mode 100644 Runtime/LlamaLib/LlamaLib.cs.meta diff --git a/Runtime/LlamaLib.meta b/Runtime/LlamaLib.meta new file mode 100644 index 00000000..abad3160 --- /dev/null +++ b/Runtime/LlamaLib.meta @@ -0,0 +1,8 @@ +fileFormatVersion: 2 +guid: d41736301318069f486b450daff6db61 +folderAsset: yes +DefaultImporter: + externalObjects: {} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LlamaLib/LLM.cs b/Runtime/LlamaLib/LLM.cs new file mode 100644 index 00000000..304df8a0 --- /dev/null +++ b/Runtime/LlamaLib/LLM.cs @@ -0,0 +1,422 @@ +using System; +using System.Collections.Generic; +using System.IO; +using System.Runtime.InteropServices; +using System.Threading.Tasks; +using Newtonsoft.Json.Linq; + +namespace UndreamAI.LlamaLib +{ + // Data structures for LoRA operations + public struct LoraIdScale + { + public int Id { get; set; } + public float Scale { get; set; } + + public LoraIdScale(int id, float scale) + { + Id = id; + Scale = scale; + } + } + + public struct LoraIdScalePath + { + public int Id { get; set; } + public float Scale { get; set; } + public string Path { get; set; } + + public LoraIdScalePath(int id, float scale, string path) + { + Id = id; + Scale = scale; + Path = path; + } + } + + // Base LLM class + public abstract class LLM : IDisposable + { + public LlamaLib llamaLib = null; + public IntPtr llm = IntPtr.Zero; + protected readonly object _disposeLock = new object(); + public bool disposed = false; + + protected LLM() {} + + protected LLM(LlamaLib llamaLibInstance) + { + llamaLib = llamaLibInstance ?? throw new ArgumentNullException(nameof(llamaLibInstance)); + } + + public static void Debug(int debugLevel) + { + LlamaLib.Debug(debugLevel); + } + + public static void LoggingCallback(LlamaLib.CharArrayCallback callback) + { + LlamaLib.LoggingCallback(callback); + } + + public static void LoggingStop() + { + LlamaLib.LoggingStop(); + } + + protected void CheckLlamaLib() + { + if (disposed) throw new ObjectDisposedException(GetType().Name); + if (llamaLib == null) throw new InvalidOperationException("LlamaLib instance is not initialized"); + if (llm == IntPtr.Zero) throw new InvalidOperationException("LLM instance is not initialized"); + if (llamaLib.LLM_Status_Code() != 0) + { + string status_msg = Marshal.PtrToStringAnsi(llamaLib.LLM_Status_Message()) ?? string.Empty; + throw new AccessViolationException(status_msg); + } + } + + public virtual void Dispose() {} + + ~LLM() + { + Dispose(); + } + + public string GetTemplate() + { + CheckLlamaLib(); + IntPtr result = llamaLib.LLM_Get_Template(llm); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public string ApplyTemplate(JArray messages = null) + { + if (messages == null) + throw new ArgumentNullException(nameof(messages)); + CheckLlamaLib(); + IntPtr result = llamaLib.LLM_Apply_Template(llm, messages.ToString()); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public List Tokenize(string content) + { + if (string.IsNullOrEmpty(content)) + throw new ArgumentNullException(nameof(content)); + + CheckLlamaLib(); + IntPtr result = llamaLib.LLM_Tokenize(llm, content); + string resultStr = Marshal.PtrToStringAnsi(result) ?? string.Empty; + List ret = new List(); + try + { + JArray json = JArray.Parse(resultStr); + ret = json?.ToObject>(); + } + catch {} + return ret; + } + + public string Detokenize(List tokens) + { + if (tokens == null) + throw new ArgumentNullException(nameof(tokens)); + + CheckLlamaLib(); + JArray tokensJSON = JArray.FromObject(tokens); + IntPtr result = llamaLib.LLM_Detokenize(llm, tokensJSON.ToString()); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public string Detokenize(int[] tokens) + { + if (tokens == null) + throw new ArgumentNullException(nameof(tokens)); + return Detokenize(new List(tokens)); + } + + public List Embeddings(string content) + { + if (string.IsNullOrEmpty(content)) + throw new ArgumentNullException(nameof(content)); + + CheckLlamaLib(); + + IntPtr result = llamaLib.LLM_Embeddings(llm, content); + string resultStr = Marshal.PtrToStringAnsi(result) ?? string.Empty; + + List ret = new List(); + try + { + JArray json = JArray.Parse(resultStr); + ret = json?.ToObject>(); + } + catch {} + return ret; + } + + public void SetCompletionParameters(JObject parameters = null) + { + CheckLlamaLib(); + llamaLib.LLM_Set_Completion_Parameters(llm, parameters.ToString()); + } + + public JObject GetCompletionParameters() + { + CheckLlamaLib(); + JObject parameters = new JObject(); + IntPtr result = llamaLib.LLM_Get_Completion_Parameters(llm); + string parametersString = Marshal.PtrToStringAnsi(result) ?? "{}"; + try + { + parameters = JObject.Parse(parametersString); + } + catch {} + return parameters; + } + + public void SetGrammar(string grammar) + { + CheckLlamaLib(); + llamaLib.LLM_Set_Grammar(llm, grammar); + } + + public string GetGrammar() + { + CheckLlamaLib(); + IntPtr result = llamaLib.LLM_Get_Grammar(llm); + return Marshal.PtrToStringAnsi(result) ?? ""; + } + + public void CheckCompletionInternal(string prompt) + { + if (string.IsNullOrEmpty(prompt)) + throw new ArgumentNullException(nameof(prompt)); + CheckLlamaLib(); + } + + public string CompletionInternal(string prompt, LlamaLib.CharArrayCallback callback, int idSlot) + { + IntPtr result; + result = llamaLib.LLM_Completion(llm, prompt, callback, idSlot); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public string Completion(string prompt, LlamaLib.CharArrayCallback callback = null, int idSlot = -1) + { + CheckCompletionInternal(prompt); + return CompletionInternal(prompt, callback, idSlot); + } + + public async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallback callback = null, int idSlot = -1) + { + CheckCompletionInternal(prompt); + return await Task.Run(() => CompletionInternal(prompt, callback, idSlot)); + } + } + + // LLMLocal class + public abstract class LLMLocal : LLM + { + protected LLMLocal() : base() {} + + protected LLMLocal(LlamaLib llamaLibInstance) : base(llamaLibInstance) {} + + public string SaveSlot(int idSlot, string filepath) + { + if (string.IsNullOrEmpty(filepath)) + throw new ArgumentNullException(nameof(filepath)); + + IntPtr result = llamaLib.LLM_Save_Slot(llm, idSlot, filepath); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public string LoadSlot(int idSlot, string filepath) + { + if (string.IsNullOrEmpty(filepath) || !File.Exists(filepath)) + throw new ArgumentNullException(nameof(filepath)); + + IntPtr result = llamaLib.LLM_Load_Slot(llm, idSlot, filepath); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public void Cancel(int idSlot) + { + CheckLlamaLib(); + llamaLib.LLM_Cancel(llm, idSlot); + } + } + + // LLMProvider class + public abstract class LLMProvider : LLMLocal + { + protected LLMProvider() : base() {} + + protected LLMProvider(LlamaLib llamaLibInstance) : base(llamaLibInstance) {} + + + public void SetTemplate(string template) + { + if (string.IsNullOrEmpty(template)) + throw new ArgumentNullException(nameof(template)); + CheckLlamaLib(); + llamaLib.LLM_Set_Template(llm, template); + } + + // LoRA Weight methods + public string BuildLoraWeightJSON(List loras) + { + var jsonArray = new JArray(); + foreach (var lora in loras) + { + jsonArray.Add(new JObject { ["id"] = lora.Id, ["scale"] = lora.Scale }); + } + return jsonArray.ToString(); + } + + public bool LoraWeight(List loras) + { + if (loras == null) + throw new ArgumentNullException(nameof(loras)); + + var lorasJSON = BuildLoraWeightJSON(loras); + return llamaLib.LLM_Lora_Weight(llm, lorasJSON); + } + + public bool LoraWeight(params LoraIdScale[] loras) + { + return LoraWeight(new List(loras)); + } + + // LoRA List methods + public List ParseLoraListJSON(string result) + { + var loras = new List(); + try + { + var jsonArray = JArray.Parse(result); + foreach (var item in jsonArray) + { + int id = item["id"]?.ToObject() ?? -1; + if (id < 0) continue; + loras.Add(new LoraIdScalePath( + id, + item["scale"]?.ToObject() ?? 0.0f, + item["path"]?.ToString() ?? string.Empty + )); + } + } + catch {} + return loras; + } + + public string LoraListJSON() + { + CheckLlamaLib(); + var result = llamaLib.LLM_Lora_List(llm); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public List LoraList() + { + var jsonResult = LoraListJSON(); + return ParseLoraListJSON(jsonResult); + } + + // Server methods + public bool Start() + { + CheckLlamaLib(); + llamaLib.LLM_Start(llm); + return llamaLib.LLM_Started(llm); + } + + public async Task StartAsync() + { + CheckLlamaLib(); + return await Task.Run(() => + { + llamaLib.LLM_Start(llm); + return llamaLib.LLM_Started(llm); + }); + } + + public bool Started() + { + CheckLlamaLib(); + return llamaLib.LLM_Started(llm); + } + + public void Stop() + { + CheckLlamaLib(); + llamaLib.LLM_Stop(llm); + } + + public void StartServer(string host = "0.0.0.0", int port = -1, string apiKey = "") + { + CheckLlamaLib(); + if (string.IsNullOrEmpty(host)) + host = "0.0.0.0"; + + llamaLib.LLM_Start_Server(llm, host, port, apiKey ?? string.Empty); + } + + public void StopServer() + { + CheckLlamaLib(); + llamaLib.LLM_Stop_Server(llm); + } + + public void JoinService() + { + CheckLlamaLib(); + llamaLib.LLM_Join_Service(llm); + } + + public void JoinServer() + { + CheckLlamaLib(); + llamaLib.LLM_Join_Server(llm); + } + + public void SetSSL(string sslCert, string sslKey) + { + if (string.IsNullOrEmpty(sslCert)) + throw new ArgumentNullException(nameof(sslCert)); + if (string.IsNullOrEmpty(sslKey)) + throw new ArgumentNullException(nameof(sslKey)); + + CheckLlamaLib(); + llamaLib.LLM_Set_SSL(llm, sslCert, sslKey); + } + + public int EmbeddingSize() + { + CheckLlamaLib(); + return llamaLib.LLM_Embedding_Size(llm); + } + + public override void Dispose() + { + lock (_disposeLock) + { + if (!disposed) + { + if (llm != IntPtr.Zero && llamaLib != null) + { + try + { + llamaLib.LLM_Delete(llm); + } + catch (Exception) {} + } + llamaLib?.Dispose(); + llamaLib = null; + llm = IntPtr.Zero; + } + disposed = true; + } + } + } +} diff --git a/Runtime/LlamaLib/LLM.cs.meta b/Runtime/LlamaLib/LLM.cs.meta new file mode 100644 index 00000000..46805ab9 --- /dev/null +++ b/Runtime/LlamaLib/LLM.cs.meta @@ -0,0 +1,11 @@ +fileFormatVersion: 2 +guid: 4c5139afa9c5c83568c0b622b0863a72 +MonoImporter: + externalObjects: {} + serializedVersion: 2 + defaultReferences: [] + executionOrder: 0 + icon: {instanceID: 0} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LlamaLib/LLMAgent.cs b/Runtime/LlamaLib/LLMAgent.cs new file mode 100644 index 00000000..958272b1 --- /dev/null +++ b/Runtime/LlamaLib/LLMAgent.cs @@ -0,0 +1,300 @@ +using System; +using System.IO; +using System.Collections.Generic; +using System.Runtime.InteropServices; +using System.Threading.Tasks; +using Newtonsoft.Json.Linq; + +namespace UndreamAI.LlamaLib +{ + // Data structure for chat messages + public struct ChatMessage + { + public string Role { get; set; } + public string Content { get; set; } + + public ChatMessage(string role, string content) + { + Role = role; + Content = content; + } + + public JObject ToJson() + { + return new JObject + { + ["role"] = Role, + ["content"] = Content + }; + } + + public static ChatMessage FromJson(JObject json) + { + return new ChatMessage( + json["role"]?.ToString() ?? string.Empty, + json["content"]?.ToString() ?? string.Empty + ); + } + } + + // LLMAgent class + public class LLMAgent : LLMLocal + { + private LLMLocal llmBase; + + public LLMAgent(LLMLocal _llm, string _systemPrompt = "", string _userRole = "user", string _assistantRole = "assistant") + { + if (_llm == null) + throw new ArgumentNullException(nameof(_llm)); + if (_llm.disposed) + throw new ObjectDisposedException(nameof(_llm)); + + llmBase = _llm; + llamaLib = llmBase.llamaLib; + + llm = llamaLib.LLMAgent_Construct(llmBase.llm, _systemPrompt ?? "", _userRole ?? "user", _assistantRole ?? "assistant"); + if (llm == IntPtr.Zero) throw new InvalidOperationException("Failed to create LLMAgent"); + } + + // Properties + public int SlotId + { + get + { + CheckLlamaLib(); + return llamaLib.LLMAgent_Get_Slot(llm); + } + set + { + CheckLlamaLib(); + llamaLib.LLMAgent_Set_Slot(llm, value); + } + } + + public string UserRole + { + get + { + CheckLlamaLib(); + return Marshal.PtrToStringAnsi(llamaLib.LLMAgent_Get_User_Role(llm)) ?? ""; + } + set + { + CheckLlamaLib(); + llamaLib.LLMAgent_Set_User_Role(llm, value); + } + } + + public string AssistantRole + { + get + { + CheckLlamaLib(); + return Marshal.PtrToStringAnsi(llamaLib.LLMAgent_Get_Assistant_Role(llm)) ?? ""; + } + set + { + CheckLlamaLib(); + llamaLib.LLMAgent_Set_Assistant_Role(llm, value); + } + } + + public string SystemPrompt + { + get + { + CheckLlamaLib(); + return Marshal.PtrToStringAnsi(llamaLib.LLMAgent_Get_System_Prompt(llm)) ?? ""; + } + set + { + CheckLlamaLib(); + llamaLib.LLMAgent_Set_System_Prompt(llm, value); + } + } + + // History management + public JArray History + { + get + { + CheckLlamaLib(); + IntPtr result = llamaLib.LLMAgent_Get_History(llm); + string historyStr = Marshal.PtrToStringAnsi(result) ?? "[]"; + try + { + return JArray.Parse(historyStr); + } + catch + { + return new JArray(); + } + } + set + { + CheckLlamaLib(); + string historyJson = value?.ToString() ?? "[]"; + llamaLib.LLMAgent_Set_History(llm, historyJson); + } + } + + public List GetHistory() + { + var history = History; + var messages = new List(); + + try + { + foreach (var item in history) + { + if (item is JObject messageObj) + { + messages.Add(ChatMessage.FromJson(messageObj)); + } + } + } + catch { } + + return messages; + } + + public void SetHistory(List messages) + { + if (messages == null) + throw new ArgumentNullException(nameof(messages)); + + var historyArray = new JArray(); + foreach (var message in messages) + { + historyArray.Add(message.ToJson()); + } + History = historyArray; + } + + public void ClearHistory() + { + CheckLlamaLib(); + llamaLib.LLMAgent_Clear_History(llm); + } + + public void AddMessage(string role, string content) + { + CheckLlamaLib(); + llamaLib.LLMAgent_Add_Message(llm, role, content); + } + + public void AddUserMessage(string content) + { + CheckLlamaLib(); + llamaLib.LLMAgent_Add_Message(llm, UserRole, content); + } + + public void AddAssistantMessage(string content) + { + CheckLlamaLib(); + llamaLib.LLMAgent_Add_Message(llm, AssistantRole, content); + } + + public void AddMessage(ChatMessage message) + { + AddMessage(message.Role, message.Content); + } + + public void RemoveLastMessage() + { + CheckLlamaLib(); + llamaLib.LLMAgent_Remove_Last_Message(llm); + } + + public void SaveHistory(string filepath) + { + if (string.IsNullOrEmpty(filepath)) + throw new ArgumentNullException(nameof(filepath)); + + CheckLlamaLib(); + llamaLib.LLMAgent_Save_History(llm, filepath); + } + + public void LoadHistory(string filepath) + { + if (string.IsNullOrEmpty(filepath)) + throw new ArgumentNullException(nameof(filepath)); + + CheckLlamaLib(); + llamaLib.LLMAgent_Load_History(llm, filepath); + } + + public int GetHistorySize() + { + CheckLlamaLib(); + return llamaLib.LLMAgent_Get_History_Size(llm); + } + + // Chat functionality + public string Chat(string userPrompt, bool addToHistory = true, LlamaLib.CharArrayCallback callback = null, bool returnResponseJson = false) + { + CheckLlamaLib(); + IntPtr result = llamaLib.LLMAgent_Chat(llm, userPrompt, addToHistory, callback, returnResponseJson); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public async Task ChatAsync(string userPrompt, bool addToHistory = true, LlamaLib.CharArrayCallback callback = null, bool returnResponseJson = false) + { + return await Task.Run(() => Chat(userPrompt, addToHistory, callback, returnResponseJson)); + } + + // Override completion methods to use agent-specific implementations + public string Completion(string prompt, LlamaLib.CharArrayCallback callback = null) + { + return Completion(prompt, callback, SlotId); + } + + public async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallback callback = null) + { + return await Task.Run(() => Completion(prompt, callback)); + } + + public string SaveSlot(string filepath) + { + if (string.IsNullOrEmpty(filepath)) + throw new ArgumentNullException(nameof(filepath)); + + CheckLlamaLib(); + IntPtr result = llamaLib.LLM_Save_Slot(llm, SlotId, filepath); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public string LoadSlot(string filepath) + { + if (string.IsNullOrEmpty(filepath) || !File.Exists(filepath)) + throw new ArgumentNullException(nameof(filepath)); + + CheckLlamaLib(); + IntPtr result = llamaLib.LLM_Load_Slot(llm, SlotId, filepath); + return Marshal.PtrToStringAnsi(result) ?? string.Empty; + } + + public void Cancel() + { + CheckLlamaLib(); + llamaLib.LLM_Cancel(llm, SlotId); + } + + + // Override slot-based methods to hide them + private new string SaveSlot(int id_slot, string filepath) + { + return SaveSlot(filepath); + } + + private new string LoadSlot(int id_slot, string filepath) + { + return LoadSlot(filepath); + } + + private new void Cancel(int id_slot) + { + Cancel(); + } + } +} \ No newline at end of file diff --git a/Runtime/LlamaLib/LLMAgent.cs.meta b/Runtime/LlamaLib/LLMAgent.cs.meta new file mode 100644 index 00000000..6af83406 --- /dev/null +++ b/Runtime/LlamaLib/LLMAgent.cs.meta @@ -0,0 +1,11 @@ +fileFormatVersion: 2 +guid: e046cf547a885a47987b2de08256d023 +MonoImporter: + externalObjects: {} + serializedVersion: 2 + defaultReferences: [] + executionOrder: 0 + icon: {instanceID: 0} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LlamaLib/LLMClient.cs b/Runtime/LlamaLib/LLMClient.cs new file mode 100644 index 00000000..edc0ab44 --- /dev/null +++ b/Runtime/LlamaLib/LLMClient.cs @@ -0,0 +1,49 @@ +using System; + +namespace UndreamAI.LlamaLib +{ + public class LLMClient : LLMLocal + { + public LLMClient(LLMProvider provider) + { + if (provider.disposed) + throw new ObjectDisposedException(nameof(provider)); + + llamaLib = provider.llamaLib; + llm = CreateClient(provider); + } + + public LLMClient(string url, int port, string apiKey = "") + { + if (string.IsNullOrEmpty(url)) + throw new ArgumentNullException(nameof(url)); + + try + { + llamaLib = new LlamaLib(false); + llm = CreateRemoteClient(url, port, apiKey); + } + catch + { + llamaLib?.Dispose(); + throw; + } + } + + private IntPtr CreateClient(LLMProvider provider) + { + var llm = llamaLib.LLMClient_Construct(provider.llm); + if (llm == IntPtr.Zero) + throw new InvalidOperationException("Failed to create LLMClient"); + return llm; + } + + private IntPtr CreateRemoteClient(string url, int port, string apiKey = "") + { + var llm = llamaLib.LLMClient_Construct_Remote(url, port, apiKey); + if (llm == IntPtr.Zero) + throw new InvalidOperationException($"Failed to create remote LLMClient for {url}:{port}"); + return llm; + } + } +} \ No newline at end of file diff --git a/Runtime/LlamaLib/LLMClient.cs.meta b/Runtime/LlamaLib/LLMClient.cs.meta new file mode 100644 index 00000000..c4aac8b5 --- /dev/null +++ b/Runtime/LlamaLib/LLMClient.cs.meta @@ -0,0 +1,11 @@ +fileFormatVersion: 2 +guid: 37ba7749ae9efccc58368375fa8654e0 +MonoImporter: + externalObjects: {} + serializedVersion: 2 + defaultReferences: [] + executionOrder: 0 + icon: {instanceID: 0} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LlamaLib/LLMService.cs b/Runtime/LlamaLib/LLMService.cs new file mode 100644 index 00000000..4347023f --- /dev/null +++ b/Runtime/LlamaLib/LLMService.cs @@ -0,0 +1,130 @@ +using System; +using System.IO; +using System.Runtime.InteropServices; + +namespace UndreamAI.LlamaLib +{ + public class LLMService : LLMProvider + { + public LLMService(string modelPath, int numSlots = 1, + int numThreads = -1, int numGpuLayers = 0, + bool flashAttention = false, int contextSize = 4096, + int batchSize = 2048, bool embeddingOnly = false, string[] loraPaths = null) + { + if (string.IsNullOrEmpty(modelPath)) + throw new ArgumentNullException(nameof(modelPath)); + if (!File.Exists(modelPath)) + throw new FileNotFoundException($"Model file not found: {modelPath}"); + + try + { + llamaLib = new LlamaLib(numGpuLayers > 0); + llm = CreateLLM( + llamaLib, + modelPath, numSlots, numThreads, numGpuLayers, + flashAttention, contextSize, batchSize, embeddingOnly, loraPaths); + } + catch + { + llamaLib?.Dispose(); + throw; + } + } + + public LLMService(LlamaLib llamaLibInstance, IntPtr llmInstance) + { + if (llamaLibInstance == null) throw new ArgumentNullException(nameof(llamaLibInstance)); + if (llmInstance == IntPtr.Zero) throw new ArgumentNullException(nameof(llmInstance)); + llamaLib = llamaLibInstance; + llm = llmInstance; + } + + public static LLMService FromCommand(string paramsString) + { + if (string.IsNullOrEmpty(paramsString)) + throw new ArgumentNullException(nameof(paramsString)); + + LlamaLib llamaLibInstance = null; + IntPtr llmInstance = IntPtr.Zero; + try + { + llamaLibInstance = new LlamaLib(LlamaLib.Has_GPU_Layers(paramsString)); + llmInstance = llamaLibInstance.LLMService_From_Command(paramsString); + } + catch + { + llamaLibInstance?.Dispose(); + throw; + } + return new LLMService(llamaLibInstance, llmInstance); + } + + public static IntPtr CreateLLM( + LlamaLib llamaLib, + string modelPath, int numSlots, int numThreads, + int numGpuLayers, bool flashAttention, int contextSize, int batchSize, + bool embeddingOnly, string[] loraPaths) + { + IntPtr loraPathsPtr = IntPtr.Zero; + int loraPathCount = 0; + + if (loraPaths != null && loraPaths.Length > 0) + { + loraPathCount = loraPaths.Length; + // Allocate array of string pointers + loraPathsPtr = Marshal.AllocHGlobal(IntPtr.Size * loraPathCount); + + try + { + for (int i = 0; i < loraPathCount; i++) + { + if (string.IsNullOrEmpty(loraPaths[i])) + throw new ArgumentException($"Lora path at index {i} is null or empty"); + + IntPtr stringPtr = Marshal.StringToHGlobalAnsi(loraPaths[i]); + Marshal.WriteIntPtr(loraPathsPtr, i * IntPtr.Size, stringPtr); + } + } + catch + { + // Clean up if allocation failed + for (int i = 0; i < loraPathCount; i++) + { + IntPtr stringPtr = Marshal.ReadIntPtr(loraPathsPtr, i * IntPtr.Size); + if (stringPtr != IntPtr.Zero) + Marshal.FreeHGlobal(stringPtr); + } + Marshal.FreeHGlobal(loraPathsPtr); + throw; + } + } + + try + { + var llm = llamaLib.LLMService_Construct( + modelPath, numSlots, numThreads, numGpuLayers, + flashAttention, contextSize, batchSize, embeddingOnly, + loraPathCount, loraPathsPtr); + + if (llm == IntPtr.Zero) + throw new InvalidOperationException("Failed to create LLMService"); + + return llm; + } + finally + { + // Clean up allocated strings + if (loraPathsPtr != IntPtr.Zero) + { + for (int i = 0; i < loraPathCount; i++) + { + IntPtr stringPtr = Marshal.ReadIntPtr(loraPathsPtr, i * IntPtr.Size); + if (stringPtr != IntPtr.Zero) + Marshal.FreeHGlobal(stringPtr); + } + Marshal.FreeHGlobal(loraPathsPtr); + } + } + } + } +} diff --git a/Runtime/LlamaLib/LLMService.cs.meta b/Runtime/LlamaLib/LLMService.cs.meta new file mode 100644 index 00000000..e45f2e73 --- /dev/null +++ b/Runtime/LlamaLib/LLMService.cs.meta @@ -0,0 +1,11 @@ +fileFormatVersion: 2 +guid: 72670472c9b43749c9035c00bb020e52 +MonoImporter: + externalObjects: {} + serializedVersion: 2 + defaultReferences: [] + executionOrder: 0 + icon: {instanceID: 0} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LlamaLib/LibraryLoader.cs b/Runtime/LlamaLib/LibraryLoader.cs new file mode 100644 index 00000000..93b3a3f4 --- /dev/null +++ b/Runtime/LlamaLib/LibraryLoader.cs @@ -0,0 +1,221 @@ +/// @file +/// @brief File implementing the LlamaLib library loader +/// \cond HIDE +using System; +using System.Runtime.InteropServices; + +namespace UndreamAI.LlamaLib +{ + /// @ingroup utils + /// + /// Class implementing the LlamaLib library loader + /// Adapted from SkiaForUnity: + /// https://github.com/ammariqais/SkiaForUnity/blob/f43322218c736d1c41f3a3df9355b90db4259a07/SkiaUnity/Assets/SkiaSharp/SkiaSharp-Bindings/SkiaSharp.HarfBuzz.Shared/HarfBuzzSharp.Shared/LibraryLoader.cs + /// + static class LibraryLoader + { + /// + /// Allows to retrieve a function delegate for the library + /// + /// type to cast the function + /// library handle + /// function name + /// function delegate + public static T GetSymbolDelegate(IntPtr library, string name) where T : Delegate + { + var symbol = GetSymbol(library, name); + if (symbol == IntPtr.Zero) + throw new EntryPointNotFoundException($"Unable to load symbol '{name}'."); + + return Marshal.GetDelegateForFunctionPointer(symbol); + } + /// + /// Loads the provided library in a cross-platform manner + /// + /// library path + /// library handle + public static IntPtr LoadLibrary(string libraryPath) + { + if (string.IsNullOrEmpty(libraryPath)) + throw new ArgumentNullException(nameof(libraryPath)); + +#if ANDROID || IOS || VISIONOS + return Mobile.dlopen(libraryPath); +#else + if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) + return Win32.LoadLibrary(libraryPath); + else if (RuntimeInformation.IsOSPlatform(OSPlatform.Linux)) + return Linux.dlopen(libraryPath); + else if (RuntimeInformation.IsOSPlatform(OSPlatform.OSX)) + return Mac.dlopen(libraryPath); + else throw new PlatformNotSupportedException($"Current platform is unknown, unable to load library '{libraryPath}'."); +#endif + } + + /// + /// Retrieve a function delegate for the library in a cross-platform manner + /// + /// library handle + /// function name + /// function handle + public static IntPtr GetSymbol(IntPtr library, string symbolName) + { + if (string.IsNullOrEmpty(symbolName)) + throw new ArgumentNullException(nameof(symbolName)); + +#if ANDROID || IOS || VISIONOS + return Mobile.dlsym(library, symbolName); +#else + if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) + return Win32.GetProcAddress(library, symbolName); + else if (RuntimeInformation.IsOSPlatform(OSPlatform.Linux)) + return Linux.dlsym(library, symbolName); + else if (RuntimeInformation.IsOSPlatform(OSPlatform.OSX)) + return Mac.dlsym(library, symbolName); + else throw new PlatformNotSupportedException($"Current platform is unknown, unable to load symbol '{symbolName}' from library {library}."); +#endif + } + + /// + /// Frees up the library + /// + /// library handle + public static void FreeLibrary(IntPtr library) + { + if (library == IntPtr.Zero) + return; + +#if ANDROID || IOS || VISIONOS + Mobile.dlclose(library); +#else + if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) + Win32.FreeLibrary(library); + else if (RuntimeInformation.IsOSPlatform(OSPlatform.Linux)) + Linux.dlclose(library); + else if (RuntimeInformation.IsOSPlatform(OSPlatform.OSX)) + Mac.dlclose(library); + else throw new PlatformNotSupportedException($"Current platform is unknown, unable to close library '{library}'."); +#endif + } + + private static class Mac + { + private const string SystemLibrary = "/usr/lib/libSystem.dylib"; + + private const int RTLD_LAZY = 1; + private const int RTLD_NOW = 2; + + public static IntPtr dlopen(string path, bool lazy = true) => + dlopen(path, lazy ? RTLD_LAZY : RTLD_NOW); + + [DllImport(SystemLibrary)] + public static extern IntPtr dlopen(string path, int mode); + + [DllImport(SystemLibrary)] + public static extern IntPtr dlsym(IntPtr handle, string symbol); + + [DllImport(SystemLibrary)] + public static extern void dlclose(IntPtr handle); + } + + private static class Linux + { + private const string SystemLibrary = "libdl.so"; + private const string SystemLibrary2 = "libdl.so.2"; // newer Linux distros use this + + private const int RTLD_LAZY = 1; + private const int RTLD_NOW = 2; + + private static bool UseSystemLibrary2 = true; + + public static IntPtr dlopen(string path, bool lazy = true) + { + try + { + return dlopen2(path, lazy ? RTLD_LAZY : RTLD_NOW); + } + catch (DllNotFoundException) + { + UseSystemLibrary2 = false; + return dlopen1(path, lazy ? RTLD_LAZY : RTLD_NOW); + } + } + + public static IntPtr dlsym(IntPtr handle, string symbol) + { + return UseSystemLibrary2 ? dlsym2(handle, symbol) : dlsym1(handle, symbol); + } + + public static void dlclose(IntPtr handle) + { + if (UseSystemLibrary2) + dlclose2(handle); + else + dlclose1(handle); + } + + [DllImport(SystemLibrary, EntryPoint = "dlopen")] + private static extern IntPtr dlopen1(string path, int mode); + + [DllImport(SystemLibrary, EntryPoint = "dlsym")] + private static extern IntPtr dlsym1(IntPtr handle, string symbol); + + [DllImport(SystemLibrary, EntryPoint = "dlclose")] + private static extern void dlclose1(IntPtr handle); + + [DllImport(SystemLibrary2, EntryPoint = "dlopen")] + private static extern IntPtr dlopen2(string path, int mode); + + [DllImport(SystemLibrary2, EntryPoint = "dlsym")] + private static extern IntPtr dlsym2(IntPtr handle, string symbol); + + [DllImport(SystemLibrary2, EntryPoint = "dlclose")] + private static extern void dlclose2(IntPtr handle); + } + + private static class Win32 + { + private const string SystemLibrary = "Kernel32.dll"; + + [DllImport(SystemLibrary, SetLastError = true, CharSet = CharSet.Ansi)] + public static extern IntPtr LoadLibrary(string lpFileName); + + [DllImport(SystemLibrary, SetLastError = true, CharSet = CharSet.Ansi)] + public static extern IntPtr GetProcAddress(IntPtr hModule, string lpProcName); + + [DllImport(SystemLibrary, SetLastError = true)] + public static extern bool FreeLibrary(IntPtr hModule); + } + + private static class Mobile + { + public static IntPtr dlopen(string path) => dlopen(path, 1); + +#if ANDROID || IOS || VISIONOS + [DllImport("__Internal")] + public static extern IntPtr dlopen(string filename, int flags); + + [DllImport("__Internal")] + public static extern IntPtr dlsym(IntPtr handle, string symbol); + + [DllImport("__Internal")] + public static extern int dlclose(IntPtr handle); +#else + public static IntPtr dlopen(string filename, int flags) + { + return IntPtr.Zero; + } + + public static IntPtr dlsym(IntPtr handle, string symbol) + { + return IntPtr.Zero; + } + + public static int dlclose(IntPtr handle) + { + return 0; + } +#endif + } + } +} \ No newline at end of file diff --git a/Runtime/LlamaLib/LibraryLoader.cs.meta b/Runtime/LlamaLib/LibraryLoader.cs.meta new file mode 100644 index 00000000..7ea28b9c --- /dev/null +++ b/Runtime/LlamaLib/LibraryLoader.cs.meta @@ -0,0 +1,11 @@ +fileFormatVersion: 2 +guid: 97d9c4e088cf8d3f1a29b468daff47b7 +MonoImporter: + externalObjects: {} + serializedVersion: 2 + defaultReferences: [] + executionOrder: 0 + icon: {instanceID: 0} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs new file mode 100644 index 00000000..fbec7625 --- /dev/null +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -0,0 +1,769 @@ +using System; +using System.IO; +using System.Runtime.InteropServices; +using System.Reflection; +using System.Collections.Generic; + +namespace UndreamAI.LlamaLib +{ + public class LlamaLib + { + public string architecture { get; private set; } + + // Function delegates + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void CharArrayCallback([MarshalAs(UnmanagedType.LPStr)] string charArray); + +#if ANDROID || IOS || VISIONOS + // Static P/Invoke declarations for mobile platforms +#if ANDROID_ARM64 + public const string DllName = "libllamalib_android-arm64"; +#elif ANDROID_X64 + public const string DllName = "libllamalib_android-x64"; +#else + public const string DllName = "__Internal"; +#endif + + public LlamaLib(bool gpu = false) + { +#if ANDROID_ARM64 + architecture = "android-arm64"; +#elif ANDROID_X64 + architecture = "android-x64"; +#elif IOS + architecture = "ios-arm64"; +#elif VISIONOS + architecture = "visionos-arm64"; +#endif + } + + // Base LLM functions + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Debug")] + public static extern void LLM_Debug_Static(int debugLevel); + public static void Debug(int debugLevel) => LLM_Debug_Static(debugLevel); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Logging_Callback")] + public static extern void LLM_Logging_Callback_Static(CharArrayCallback callback); + public static void LoggingCallback(CharArrayCallback callback) => LLM_Logging_Callback_Static(callback); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Logging_Stop")] + public static extern void LLM_Logging_Stop_Static(); + public static void LoggingStop() => LLM_Logging_Stop_Static(); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Get_Template")] + public static extern IntPtr LLM_Get_Template_Static(IntPtr llm); + public IntPtr LLM_Get_Template(IntPtr llm) => LLM_Get_Template_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Apply_Template")] + public static extern IntPtr LLM_Apply_Template_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string messages_as_json); + public IntPtr LLM_Apply_Template(IntPtr llm, string messages_as_json) => LLM_Apply_Template_Static(llm, messages_as_json); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Tokenize")] + public static extern IntPtr LLM_Tokenize_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); + public IntPtr LLM_Tokenize(IntPtr llm, string query) => LlamaLib.LLM_Tokenize_Static(llm, query); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Detokenize")] + public static extern IntPtr LLM_Detokenize_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string tokens_as_json); + public IntPtr LLM_Detokenize(IntPtr llm, string tokens_as_json) => LlamaLib.LLM_Detokenize_Static(llm, tokens_as_json); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Embeddings")] + public static extern IntPtr LLM_Embeddings_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); + public IntPtr LLM_Embeddings(IntPtr llm, string query) => LlamaLib.LLM_Embeddings_Static(llm, query); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Completion")] + public static extern IntPtr LLM_Completion_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query, CharArrayCallback callback, int id_slot = -1, bool return_response_json = false); + public IntPtr LLM_Completion(IntPtr llm, string query, CharArrayCallback callback, int id_slot = -1, bool return_response_json = false) => LlamaLib.LLM_Completion_Static(llm, query, callback, id_slot, return_response_json); + + // LLMLocal functions + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Set_Template")] + public static extern IntPtr LLM_Set_Template_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string template); + public IntPtr LLM_Set_Template(IntPtr llm, string template) => LLM_Set_Template_Static(llm, template); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Save_Slot")] + public static extern IntPtr LLM_Save_Slot_Static(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); + public IntPtr LLM_Save_Slot(IntPtr llm, int id_slot, string filepath) => LlamaLib.LLM_Save_Slot_Static(llm, id_slot, filepath); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Load_Slot")] + public static extern IntPtr LLM_Load_Slot_Static(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); + public IntPtr LLM_Load_Slot(IntPtr llm, int id_slot, string filepath) => LlamaLib.LLM_Load_Slot_Static(llm, id_slot, filepath); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Cancel")] + public static extern void LLM_Cancel_Static(IntPtr llm, int idSlot); + public void LLM_Cancel(IntPtr llm, int idSlot) => LlamaLib.LLM_Cancel_Static(llm, idSlot); + + // LLMProvider functions + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Lora_Weight")] + public static extern bool LLM_Lora_Weight_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string loras_as_json); + public bool LLM_Lora_Weight(IntPtr llm, string loras_as_json) => LlamaLib.LLM_Lora_Weight_Static(llm, loras_as_json); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Lora_List")] + public static extern IntPtr LLM_Lora_List_Static(IntPtr llm); + public IntPtr LLM_Lora_List(IntPtr llm) => LlamaLib.LLM_Lora_List_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Delete")] + public static extern void LLM_Delete_Static(IntPtr llm); + public void LLM_Delete(IntPtr llm) => LlamaLib.LLM_Delete_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Start")] + public static extern void LLM_Start_Static(IntPtr llm); + public void LLM_Start(IntPtr llm) => LlamaLib.LLM_Start_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Started")] + [return : MarshalAs(UnmanagedType.I1)] + public static extern bool LLM_Started_Static(IntPtr llm); + public bool LLM_Started(IntPtr llm) => LlamaLib.LLM_Started_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Stop")] + public static extern void LLM_Stop_Static(IntPtr llm); + public void LLM_Stop(IntPtr llm) => LlamaLib.LLM_Stop_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Start_Server")] + public static extern void LLM_Start_Server_Static(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string host = "0.0.0.0", + int port = -1, + [MarshalAs(UnmanagedType.LPStr)] string apiKey = ""); + public void LLM_Start_Server(IntPtr llm, string host = "0.0.0.0", int port = -1, string apiKey = "") => LlamaLib.LLM_Start_Server_Static(llm, host, port, apiKey); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Stop_Server")] + public static extern void LLM_Stop_Server_Static(IntPtr llm); + public void LLM_Stop_Server(IntPtr llm) => LlamaLib.LLM_Stop_Server_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Join_Service")] + public static extern void LLM_Join_Service_Static(IntPtr llm); + public void LLM_Join_Service(IntPtr llm) => LlamaLib.LLM_Join_Service_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Join_Server")] + public static extern void LLM_Join_Server_Static(IntPtr llm); + public void LLM_Join_Server(IntPtr llm) => LlamaLib.LLM_Join_Server_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Set_SSL")] + public static extern void LLM_Set_SSL_Static(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string sslCert, + [MarshalAs(UnmanagedType.LPStr)] string sslKey); + public void LLM_Set_SSL(IntPtr llm, string sslCert, string sslKey) => LlamaLib.LLM_Set_SSL_Static(llm, sslCert, sslKey); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Status_Code")] + public static extern int LLM_Status_Code_Static(); + public int LLM_Status_Code() => LlamaLib.LLM_Status_Code_Static(); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Status_Message")] + public static extern IntPtr LLM_Status_Message_Static(); + public IntPtr LLM_Status_Message() => LlamaLib.LLM_Status_Message_Static(); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Embedding_Size")] + public static extern int LLM_Embedding_Size_Static(IntPtr llm); + public int LLM_Embedding_Size(IntPtr llm) => LlamaLib.LLM_Embedding_Size_Static(llm); + + // LLMService functions + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMService_Construct")] + public static extern IntPtr LLMService_Construct_Static( + [MarshalAs(UnmanagedType.LPStr)] string modelPath, + int numSlots = 1, + int numThreads = -1, + int numGpuLayers = 0, + [MarshalAs(UnmanagedType.I1)] bool flashAttention = false, + int contextSize = 4096, + int batchSize = 2048, + [MarshalAs(UnmanagedType.I1)] bool embeddingOnly = false, + int loraCount = 0, + IntPtr loraPaths = default); + public IntPtr LLMService_Construct( + int numSlots = 1, + string modelPath, + int numThreads = -1, + int numGpuLayers = 0, + bool flashAttention = false, + int contextSize = 4096, + int batchSize = 2048, + bool embeddingOnly = false, + int loraCount = 0, + IntPtr loraPaths = default) + => LlamaLib.LLMService_Construct_Static(modelPath, numSlots, numThreads, numGpuLayers, flashAttention, + contextSize, batchSize, embeddingOnly, loraCount, loraPaths); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMService_From_Command")] + public static extern IntPtr LLMService_From_Command_Static([MarshalAs(UnmanagedType.LPStr)] string paramsString); + public IntPtr LLMService_From_Command(string paramsString) => LlamaLib.LLMService_From_Command_Static(paramsString); + + // LLMClient functions + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMClient_Construct")] + public static extern IntPtr LLMClient_Construct_Static(IntPtr llm); + public IntPtr LLMClient_Construct(IntPtr llm) => LlamaLib.LLMClient_Construct_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMClient_Construct_Remote")] + public static extern IntPtr LLMClient_Construct_Remote_Static( + [MarshalAs(UnmanagedType.LPStr)] string url, + int port, + [MarshalAs(UnmanagedType.LPStr)] string apiKey = ""); + public IntPtr LLMClient_Construct_Remote(string url, int port, string apiKey = "") => LlamaLib.LLMClient_Construct_Remote_Static(url, port, apiKey); + + // LLMAgent functions + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Construct")] + public static extern IntPtr LLMAgent_Construct_Static(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string systemPrompt = "", + [MarshalAs(UnmanagedType.LPStr)] string userRole = "user", + [MarshalAs(UnmanagedType.LPStr)] string assistantRole = "assistant"); + public IntPtr LLMAgent_Construct(IntPtr llm, string systemPrompt = "", string userRole = "user", string assistantRole = "assistant") + => LLMAgent_Construct_Static(llm, systemPrompt, userRole, assistantRole); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_User_Role")] + public static extern void LLMAgent_Set_User_Role_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string userRole); + public void LLMAgent_Set_User_Role(IntPtr llm, string userRole) => LLMAgent_Set_User_Role_Static(llm, userRole); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_User_Role")] + public static extern IntPtr LLMAgent_Get_User_Role_Static(IntPtr llm); + public IntPtr LLMAgent_Get_User_Role(IntPtr llm) => LLMAgent_Get_User_Role_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_Assistant_Role")] + public static extern void LLMAgent_Set_Assistant_Role_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string assistantRole); + public void LLMAgent_Set_Assistant_Role(IntPtr llm, string assistantRole) => LLMAgent_Set_Assistant_Role_Static(llm, assistantRole); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_Assistant_Role")] + public static extern IntPtr LLMAgent_Get_Assistant_Role_Static(IntPtr llm); + public IntPtr LLMAgent_Get_Assistant_Role(IntPtr llm) => LLMAgent_Get_Assistant_Role_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_System_Prompt")] + public static extern void LLMAgent_Set_System_Prompt_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt); + public void LLMAgent_Set_System_Prompt(IntPtr llm, string systemPrompt) => LLMAgent_Set_System_Prompt_Static(llm, systemPrompt); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_System_Prompt")] + public static extern IntPtr LLMAgent_Get_System_Prompt_Static(IntPtr llm); + public IntPtr LLMAgent_Get_System_Prompt(IntPtr llm) => LLMAgent_Get_System_Prompt_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Set_Completion_Parameters")] + public static extern void LLM_Set_Completion_Parameters_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string parameters); + public void LLM_Set_Completion_Parameters(IntPtr llm, string parameters) => LLM_Set_Completion_Parameters_Static(llm, parameters); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Get_Completion_Parameters")] + public static extern IntPtr LLM_Get_Completion_Parameters_Static(IntPtr llm); + public IntPtr LLM_Get_Completion_Parameters(IntPtr llm) => LLM_Get_Completion_Parameters_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Set_Grammar")] + public static extern void LLM_Set_Grammar_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string grammar); + public void LLM_Set_Grammar(IntPtr llm, string grammar) => LLM_Set_Grammar_Static(llm, grammar); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Get_Grammar")] + public static extern IntPtr LLM_Get_Grammar_Static(IntPtr llm); + public IntPtr LLM_Get_Grammar(IntPtr llm) => LLM_Get_Grammar_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_Slot")] + public static extern void LLMAgent_Set_Slot_Static(IntPtr llm, int slotId); + public void LLMAgent_Set_Slot(IntPtr llm, int slotId) => LLMAgent_Set_Slot_Static(llm, slotId); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_Slot")] + public static extern IntPtr LLMAgent_Get_Slot_Static(IntPtr llm); + public IntPtr LLMAgent_Get_Slot(IntPtr llm) => LLMAgent_Get_Slot_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Chat")] + public static extern IntPtr LLMAgent_Chat_Static(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string userPrompt, + [MarshalAs(UnmanagedType.I1)] bool addToHistory = true, + CharArrayCallback callback = null, + [MarshalAs(UnmanagedType.I1)] bool returnResponseJson = false); + public IntPtr LLMAgent_Chat(IntPtr llm, string userPrompt, bool addToHistory = true, CharArrayCallback callback = null, bool returnResponseJson = false) + => LLMAgent_Chat_Static(llm, userPrompt, addToHistory, callback, returnResponseJson); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Clear_History")] + public static extern void LLMAgent_Clear_History_Static(IntPtr llm); + public void LLMAgent_Clear_History(IntPtr llm) => LLMAgent_Clear_History_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_History")] + public static extern IntPtr LLMAgent_Get_History_Static(IntPtr llm); + public IntPtr LLMAgent_Get_History(IntPtr llm) => LLMAgent_Get_History_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_History")] + public static extern void LLMAgent_Set_History_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string historyJson); + public void LLMAgent_Set_History(IntPtr llm, string historyJson) => LLMAgent_Set_History_Static(llm, historyJson); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Add_Message")] + public static extern void LLMAgent_Add_Message_Static(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string role, + [MarshalAs(UnmanagedType.LPStr)] string content); + public void LLMAgent_Add_Message(IntPtr llm, string role, string content) => LLMAgent_Add_Message_Static(llm, role, content); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Remove_Last_Message")] + public static extern void LLMAgent_Remove_Last_Message_Static(IntPtr llm); + public void LLMAgent_Remove_Last_Message(IntPtr llm) => LLMAgent_Remove_Last_Message_Static(llm); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Save_History")] + public static extern void LLMAgent_Save_History_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); + public void LLMAgent_Save_History(IntPtr llm, string filepath) => LLMAgent_Save_History_Static(llm, filepath); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Load_History")] + public static extern void LLMAgent_Load_History_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); + public void LLMAgent_Load_History(IntPtr llm, string filepath) => LLMAgent_Load_History_Static(llm, filepath); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_History_Size")] + public static extern int LLMAgent_Get_History_Size_Static(IntPtr llm); + public int LLMAgent_Get_History_Size(IntPtr llm) => LLMAgent_Get_History_Size_Static(llm); + +#else + // Desktop platform implementation with dynamic loading + private static List instances = new List(); + private static readonly object runtimeLock = new object(); + private static IntPtr runtimeLibraryHandle = IntPtr.Zero; + private IntPtr libraryHandle = IntPtr.Zero; + private static int debugLevelGlobal = 0; + private static CharArrayCallback loggingCallbackGlobal = null; + + private void LoadRuntimeLibrary() + { + lock (runtimeLock) + { + if (runtimeLibraryHandle == IntPtr.Zero) + { + runtimeLibraryHandle = LibraryLoader.LoadLibrary(GetRuntimeLibraryPath()); + Has_GPU_Layers = LibraryLoader.GetSymbolDelegate(runtimeLibraryHandle, "Has_GPU_Layers"); + Available_Architectures = LibraryLoader.GetSymbolDelegate(runtimeLibraryHandle, "Available_Architectures"); + } + } + } + + public LlamaLib(bool gpu = false) + { + LoadRuntimeLibrary(); + LoadLibraries(gpu); + lock (runtimeLock) + { + instances.Add(this); + LLM_Debug(debugLevelGlobal); + if (loggingCallbackGlobal != null) LLM_Logging_Callback(loggingCallbackGlobal); + } + } + + public static string GetPlatform() + { + if (RuntimeInformation.IsOSPlatform(OSPlatform.Linux)) + return "linux-x64"; + else if (RuntimeInformation.IsOSPlatform(OSPlatform.OSX)) + { + if (RuntimeInformation.ProcessArchitecture == Architecture.X64) + return "osx-x64"; + else + return "osx-arm64"; + } + else if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) + return "win-x64"; + else throw new ArgumentException("Unknown platform " + RuntimeInformation.OSDescription); + } + + public virtual string FindLibrary(string libraryName) + { + string baseDir = Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location); + + List lookupDirs = new List(); + lookupDirs.Add(Path.Combine(baseDir, "runtimes", GetPlatform(), "native")); + lookupDirs.Add(baseDir); + + foreach (string lookupDir in lookupDirs) + { + string libraryPath = Path.Combine(lookupDir, libraryName); + if (File.Exists(libraryPath)) return libraryPath; + } + + throw new InvalidOperationException($"Library {libraryName} not found!"); + } + + private string GetRuntimeLibraryPath() + { + string platform = GetPlatform(); + string libName; + if (RuntimeInformation.IsOSPlatform(OSPlatform.Linux)) + libName = "libllamalib_" + platform + "_runtime.so"; + else if (RuntimeInformation.IsOSPlatform(OSPlatform.OSX)) + libName = "libllamalib_" + platform + "_runtime.dylib"; + else if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) + libName = "llamalib_" + platform + "_runtime.dll"; + else + throw new ArgumentException("Unknown platform " + RuntimeInformation.OSDescription); + return FindLibrary(libName); + } + + private void LoadLibraries(bool gpu) + { + string architecturesString = Marshal.PtrToStringAnsi(Available_Architectures(gpu)); + if (string.IsNullOrEmpty(architecturesString)) + { + throw new InvalidOperationException("No architectures available for the specified GPU setting."); + } + + string[] libraries = architecturesString.Split(','); + Exception lastException = null; + + foreach (string library in libraries) + { + try + { + string libraryPath = FindLibrary(library.Trim()); + if (debugLevelGlobal > 0) Console.WriteLine("Trying " + libraryPath); + libraryHandle = LibraryLoader.LoadLibrary(libraryPath); + LoadFunctionPointers(); + architecture = library.Trim(); + if (debugLevelGlobal > 0) Console.WriteLine("Successfully loaded: " + libraryPath); + return; + } + catch (Exception ex) + { + if (debugLevelGlobal > 0) Console.WriteLine($"Failed to load library {library}: {ex.Message}."); + lastException = ex; + continue; + } + } + + // If we get here, no library was successfully loaded + throw new InvalidOperationException($"Failed to load any library. Available libraries: {string.Join(", ", libraries)}", lastException); + } + + private void LoadFunctionPointers() + { + LLM_Debug = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Debug"); + LLM_Logging_Callback = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Logging_Callback"); + LLM_Logging_Stop = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Logging_Stop"); + LLM_Get_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Get_Template"); + LLM_Set_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_Template"); + LLM_Apply_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Apply_Template"); + LLM_Tokenize = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Tokenize"); + LLM_Detokenize = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Detokenize"); + LLM_Embeddings = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Embeddings"); + LLM_Completion = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Completion"); + LLM_Save_Slot = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Save_Slot"); + LLM_Load_Slot = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Load_Slot"); + LLM_Cancel = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Cancel"); + LLM_Lora_Weight = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Lora_Weight"); + LLM_Lora_List = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Lora_List"); + LLM_Delete = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Delete"); + LLM_Start = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Start"); + LLM_Started = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Started"); + LLM_Stop = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Stop"); + LLM_Start_Server = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Start_Server"); + LLM_Stop_Server = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Stop_Server"); + LLM_Join_Service = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Join_Service"); + LLM_Join_Server = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Join_Server"); + LLM_Set_SSL = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_SSL"); + LLM_Status_Code = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Status_Code"); + LLM_Status_Message = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Status_Message"); + LLM_Embedding_Size = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Embedding_Size"); + LLMService_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Construct"); + LLMService_From_Command = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_From_Command"); + LLMClient_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct"); + LLMClient_Construct_Remote = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct_Remote"); + LLMAgent_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Construct"); + LLMAgent_Set_User_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_User_Role"); + LLMAgent_Get_User_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_User_Role"); + LLMAgent_Set_Assistant_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_Assistant_Role"); + LLMAgent_Get_Assistant_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_Assistant_Role"); + LLMAgent_Set_System_Prompt = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_System_Prompt"); + LLMAgent_Get_System_Prompt = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_System_Prompt"); + LLMAgent_Set_Slot = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_Slot"); + LLMAgent_Get_Slot = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_Slot"); + LLM_Set_Completion_Parameters = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_Completion_Parameters"); + LLM_Get_Completion_Parameters = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Get_Completion_Parameters"); + LLM_Set_Grammar = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_Grammar"); + LLM_Get_Grammar = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Get_Grammar"); + LLMAgent_Chat = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Chat"); + LLMAgent_Clear_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Clear_History"); + LLMAgent_Get_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_History"); + LLMAgent_Set_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_History"); + LLMAgent_Add_Message = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Add_Message"); + LLMAgent_Remove_Last_Message = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Remove_Last_Message"); + LLMAgent_Save_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Save_History"); + LLMAgent_Load_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Load_History"); + LLMAgent_Get_History_Size = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_History_Size"); + } + + // Delegate definitions for desktop platforms + // Runtime lib + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr Available_Architectures_Delegate([MarshalAs(UnmanagedType.I1)] bool gpu); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate bool Has_GPU_Layers_Delegate([MarshalAs(UnmanagedType.LPStr)] string command); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Debug_Delegate(int debugLevel); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Logging_Callback_Delegate(CharArrayCallback callback); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Logging_Stop_Delegate(); + + // Main lib + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Get_Template_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Set_Template_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string template); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Apply_Template_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string messages_as_json); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Tokenize_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Detokenize_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string tokens_as_json); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Embeddings_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Completion_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query, CharArrayCallback callback, int id_slot = -1, bool return_response_json = false); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Save_Slot_Delegate(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Load_Slot_Delegate(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Cancel_Delegate(IntPtr llm, int idSlot); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate bool LLM_Lora_Weight_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string loras_as_json); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Lora_List_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Delete_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Start_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate bool LLM_Started_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Stop_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Start_Server_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string host = "0.0.0.0", int port = -1, [MarshalAs(UnmanagedType.LPStr)] string apiKey = ""); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Stop_Server_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Join_Service_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Join_Server_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Set_SSL_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string sslCert, [MarshalAs(UnmanagedType.LPStr)] string sslKey); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate int LLM_Status_Code_Delegate(); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Status_Message_Delegate(); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate int LLM_Embedding_Size_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMService_Construct_Delegate( + [MarshalAs(UnmanagedType.LPStr)] string modelPath, + int numSlots = 1, + int numThreads = -1, + int numGpuLayers = 0, + [MarshalAs(UnmanagedType.I1)] bool flashAttention = false, + int contextSize = 4096, + int batchSize = 2048, + [MarshalAs(UnmanagedType.I1)] bool embeddingOnly = false, + int loraCount = 0, + IntPtr loraPaths = default); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMService_From_Command_Delegate([MarshalAs(UnmanagedType.LPStr)] string paramsString); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMClient_Construct_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMClient_Construct_Remote_Delegate([MarshalAs(UnmanagedType.LPStr)] string url, int port, [MarshalAs(UnmanagedType.LPStr)] string apiKey = ""); + + // LLMAgent functions + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Construct_Delegate(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string systemPrompt = "", + [MarshalAs(UnmanagedType.LPStr)] string userRole = "user", + [MarshalAs(UnmanagedType.LPStr)] string assistantRole = "assistant"); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_User_Role_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string userRole); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Get_User_Role_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_Assistant_Role_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string assistantRole); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Get_Assistant_Role_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_System_Prompt_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Get_System_Prompt_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Set_Grammar_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string grammar); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Get_Grammar_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Set_Completion_Parameters_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string parameters); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Get_Completion_Parameters_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_Slot_Delegate(IntPtr llm, int slotId); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate int LLMAgent_Get_Slot_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Chat_Delegate(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string userPrompt, + [MarshalAs(UnmanagedType.I1)] bool addToHistory = true, + CharArrayCallback callback = null, + [MarshalAs(UnmanagedType.I1)] bool returnResponseJson = false); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Clear_History_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Get_History_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string historyJson); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string role, + [MarshalAs(UnmanagedType.LPStr)] string content); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Remove_Last_Message_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Save_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Load_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate int LLMAgent_Get_History_Size_Delegate(IntPtr llm); + + + // Function pointers for desktop platforms + // Runtime lib + public static Available_Architectures_Delegate Available_Architectures; + public static Has_GPU_Layers_Delegate Has_GPU_Layers; + + // Main lib + public LLM_Debug_Delegate LLM_Debug; + public LLM_Logging_Callback_Delegate LLM_Logging_Callback; + public LLM_Logging_Stop_Delegate LLM_Logging_Stop; + public LLM_Get_Template_Delegate LLM_Get_Template; + public LLM_Set_Template_Delegate LLM_Set_Template; + public LLM_Apply_Template_Delegate LLM_Apply_Template; + public LLM_Tokenize_Delegate LLM_Tokenize; + public LLM_Detokenize_Delegate LLM_Detokenize; + public LLM_Embeddings_Delegate LLM_Embeddings; + public LLM_Completion_Delegate LLM_Completion; + public LLM_Save_Slot_Delegate LLM_Save_Slot; + public LLM_Load_Slot_Delegate LLM_Load_Slot; + public LLM_Cancel_Delegate LLM_Cancel; + public LLM_Lora_Weight_Delegate LLM_Lora_Weight; + public LLM_Lora_List_Delegate LLM_Lora_List; + public LLM_Delete_Delegate LLM_Delete; + public LLM_Start_Delegate LLM_Start; + public LLM_Started_Delegate LLM_Started; + public LLM_Stop_Delegate LLM_Stop; + public LLM_Start_Server_Delegate LLM_Start_Server; + public LLM_Stop_Server_Delegate LLM_Stop_Server; + public LLM_Join_Service_Delegate LLM_Join_Service; + public LLM_Join_Server_Delegate LLM_Join_Server; + public LLM_Set_SSL_Delegate LLM_Set_SSL; + public LLM_Status_Code_Delegate LLM_Status_Code; + public LLM_Status_Message_Delegate LLM_Status_Message; + public LLM_Embedding_Size_Delegate LLM_Embedding_Size; + public LLMService_Construct_Delegate LLMService_Construct; + public LLMService_From_Command_Delegate LLMService_From_Command; + public LLMClient_Construct_Delegate LLMClient_Construct; + public LLMClient_Construct_Remote_Delegate LLMClient_Construct_Remote; + public LLMAgent_Construct_Delegate LLMAgent_Construct; + public LLMAgent_Set_User_Role_Delegate LLMAgent_Set_User_Role; + public LLMAgent_Get_User_Role_Delegate LLMAgent_Get_User_Role; + public LLMAgent_Set_Assistant_Role_Delegate LLMAgent_Set_Assistant_Role; + public LLMAgent_Get_Assistant_Role_Delegate LLMAgent_Get_Assistant_Role; + public LLMAgent_Set_System_Prompt_Delegate LLMAgent_Set_System_Prompt; + public LLMAgent_Get_System_Prompt_Delegate LLMAgent_Get_System_Prompt; + public LLMAgent_Set_Slot_Delegate LLMAgent_Set_Slot; + public LLMAgent_Get_Slot_Delegate LLMAgent_Get_Slot; + public LLM_Set_Completion_Parameters_Delegate LLM_Set_Completion_Parameters; + public LLM_Get_Completion_Parameters_Delegate LLM_Get_Completion_Parameters; + public LLM_Set_Grammar_Delegate LLM_Set_Grammar; + public LLM_Get_Grammar_Delegate LLM_Get_Grammar; + public LLMAgent_Chat_Delegate LLMAgent_Chat; + public LLMAgent_Clear_History_Delegate LLMAgent_Clear_History; + public LLMAgent_Get_History_Delegate LLMAgent_Get_History; + public LLMAgent_Set_History_Delegate LLMAgent_Set_History; + public LLMAgent_Add_Message_Delegate LLMAgent_Add_Message; + public LLMAgent_Remove_Last_Message_Delegate LLMAgent_Remove_Last_Message; + public LLMAgent_Save_History_Delegate LLMAgent_Save_History; + public LLMAgent_Load_History_Delegate LLMAgent_Load_History; + public LLMAgent_Get_History_Size_Delegate LLMAgent_Get_History_Size; + + public static void Debug(int debugLevel) + { + debugLevelGlobal = debugLevel; + foreach (LlamaLib instance in instances) + { + instance.LLM_Debug(debugLevel); + } + } + + public static void LoggingCallback(CharArrayCallback callback) + { + loggingCallbackGlobal = callback; + foreach (LlamaLib instance in instances) + { + instance.LLM_Logging_Callback(callback); + } + } + + public static void LoggingStop() + { + LoggingCallback(null); + } + + public void Dispose() + { + LibraryLoader.FreeLibrary(libraryHandle); + libraryHandle = IntPtr.Zero; + + lock (runtimeLock) + { + instances.Remove(this); + if (instances.Count == 0) + { + LibraryLoader.FreeLibrary(runtimeLibraryHandle); + runtimeLibraryHandle = IntPtr.Zero; + } + } + } + + ~LlamaLib() + { + Dispose(); + } + +#endif + } +} diff --git a/Runtime/LlamaLib/LlamaLib.cs.meta b/Runtime/LlamaLib/LlamaLib.cs.meta new file mode 100644 index 00000000..a6e2a0af --- /dev/null +++ b/Runtime/LlamaLib/LlamaLib.cs.meta @@ -0,0 +1,11 @@ +fileFormatVersion: 2 +guid: fe209b11ce081b521a4c1bffd25c4e32 +MonoImporter: + externalObjects: {} + serializedVersion: 2 + defaultReferences: [] + executionOrder: 0 + icon: {instanceID: 0} + userData: + assetBundleName: + assetBundleVariant: From bc74831f6dcfe8b42ca26224623ccc98cef9e1b2 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Sat, 16 Aug 2025 01:45:01 +0300 Subject: [PATCH 08/69] implementation of LLMAgent methods (untested) --- Editor/LLMCallerEditor.cs | 8 +- Editor/LLMEditor.cs | 15 +- Options.md | 12 +- README.md | 2 +- Runtime/LLM.cs | 66 +- Runtime/LLMAgent.cs | 463 +++++++ ...ChatTemplates.cs.meta => LLMAgent.cs.meta} | 2 +- Runtime/LLMCaller.cs | 254 ++-- Runtime/LLMCharacter.cs | 716 +--------- Runtime/LLMChatTemplates.cs | 710 ---------- Runtime/LLMInterface.cs | 158 --- Runtime/LLMInterface.cs.meta | 11 - Runtime/LLMManager.cs | 31 - Runtime/LLMUnitySetup.cs | 1 + Runtime/RAG/Chunking.cs | 12 +- Runtime/RAG/RAG.cs | 4 +- Runtime/RAG/Search.cs | 34 +- Runtime/RAG/SentenceSplitter.cs | 38 +- Runtime/RAG/TokenSplitter.cs | 6 +- Runtime/RAG/WordSplitter.cs | 36 +- Samples~/ChatBot/ChatBot.cs | 4 +- .../KnowledgeBaseGame/KnowledgeBaseGame.cs | 14 +- Samples~/RAG/RAGAndLLM_Sample.cs | 4 +- Samples~/RAG/RAG_Sample.cs | 6 +- Tests/Runtime/TestLLM.cs | 1146 ++++++++--------- Tests/Runtime/TestLLMChatTemplates.cs | 400 +++--- Tests/Runtime/TestSearch.cs | 216 ++-- 27 files changed, 1538 insertions(+), 2831 deletions(-) create mode 100644 Runtime/LLMAgent.cs rename Runtime/{LLMChatTemplates.cs.meta => LLMAgent.cs.meta} (83%) delete mode 100644 Runtime/LLMChatTemplates.cs delete mode 100644 Runtime/LLMInterface.cs delete mode 100644 Runtime/LLMInterface.cs.meta diff --git a/Editor/LLMCallerEditor.cs b/Editor/LLMCallerEditor.cs index 8bdd8f58..006b7908 100644 --- a/Editor/LLMCallerEditor.cs +++ b/Editor/LLMCallerEditor.cs @@ -8,8 +8,8 @@ namespace LLMUnity [CustomEditor(typeof(LLMCaller), true)] public class LLMCallerEditor : PropertyEditor {} - [CustomEditor(typeof(LLMCharacter), true)] - public class LLMCharacterEditor : LLMCallerEditor + [CustomEditor(typeof(LLMAgent), true)] + public class LLMAgentEditor : LLMCallerEditor { public override void AddModelSettings(SerializedObject llmScriptSO) { @@ -31,7 +31,7 @@ public override void AddModelSettings(SerializedObject llmScriptSO) string path = EditorUtility.OpenFilePanelWithFilters("Select a gbnf grammar file", "", new string[] { "Grammar Files", "gbnf" }); if (!string.IsNullOrEmpty(path)) { - ((LLMCharacter)target).SetGrammar(path); + ((LLMAgent)target).SetGrammar(path); } }; } @@ -42,7 +42,7 @@ public override void AddModelSettings(SerializedObject llmScriptSO) string path = EditorUtility.OpenFilePanelWithFilters("Select a json schema grammar file", "", new string[] { "Grammar Files", "json" }); if (!string.IsNullOrEmpty(path)) { - ((LLMCharacter)target).SetJSONGrammar(path); + ((LLMAgent)target).SetGrammar(path); } }; } diff --git a/Editor/LLMEditor.cs b/Editor/LLMEditor.cs index 2cfc5183..9ae3ace4 100644 --- a/Editor/LLMEditor.cs +++ b/Editor/LLMEditor.cs @@ -351,19 +351,6 @@ void OnEnable() DrawCopyableLabel(nameRect, entry.label, entry.filename); - if (!entry.lora) - { - string[] templateDescriptions = ChatTemplate.templatesDescription.Keys.ToList().ToArray(); - string[] templates = ChatTemplate.templatesDescription.Values.ToList().ToArray(); - int templateIndex = Array.IndexOf(templates, entry.chatTemplate); - int newTemplateIndex = EditorGUI.Popup(templateRect, templateIndex, templateDescriptions); - if (newTemplateIndex != templateIndex) - { - LLMManager.SetTemplate(entry.filename, templates[newTemplateIndex]); - UpdateModels(); - } - } - if (expandedView) { if (hasURL) @@ -420,7 +407,7 @@ void OnEnable() EditorGUI.LabelField(rects[col++], "Build"); EditorGUI.LabelField(rects[col++], ""); }, - drawFooterCallback = { }, + drawFooterCallback = {}, footerHeight = 0, }; } diff --git a/Options.md b/Options.md index e90b1317..15a2237d 100644 --- a/Options.md +++ b/Options.md @@ -21,15 +21,15 @@ If the user's GPU is not supported, the LLM will fall back to the CPU - `Debug` select to log the output of the model in the Unity Editor -
Advanced options - -
Parallel Prompts number of prompts / slots that can happen in parallel (default: -1 = number of LLMCharacter objects). Note that the context size is divided among the slots. If you want to retain as much context for the LLM and don't need all the characters present at the same time, you can set this number and specify the slot for each LLMCharacter object. - e.g. Setting `Parallel Prompts` to 1 and slot 0 for all LLMCharacter objects will use the full context, but the entire prompt will need to be computed (no caching) whenever a LLMCharacter object is used for chat.
+ -
Parallel Prompts number of prompts / slots that can happen in parallel (default: -1 = number of LLMAgent objects). Note that the context size is divided among the slots. If you want to retain as much context for the LLM and don't need all the characters present at the same time, you can set this number and specify the slot for each LLMAgent object. + e.g. Setting `Parallel Prompts` to 1 and slot 0 for all LLMAgent objects will use the full context, but the entire prompt will need to be computed (no caching) whenever a LLMAgent object is used for chat.
- `Dont Destroy On Load` select to not destroy the LLM GameObject when loading a new Scene
## Server Security Settings -- `API key` API key to use to allow access to requests from LLMCharacter objects (if `Remote` is set) +- `API key` API key to use to allow access to requests from LLMAgent objects (if `Remote` is set) -
Advanced options - `Load SSL certificate` allows to load a SSL certificate for end-to-end encryption of requests (if `Remote` is set). Requires SSL key as well. @@ -58,7 +58,7 @@ If the user's GPU is not supported, the LLM will fall back to the CPU
-## LLMCharacter Settings +## LLMAgent Settings - `Show/Hide Advanced Options` Toggle to show/hide advanced options from below - `Log Level` select how verbose the log messages are @@ -66,7 +66,7 @@ If the user's GPU is not supported, the LLM will fall back to the CPU ## 💻 Setup Settings
- +
- `Remote` whether the LLM used is remote or local @@ -113,4 +113,4 @@ If it is not selected, the full reply from the model is received in one go - `N Probs`: if greater than 0, the response also contains the probabilities of top N tokens for each generated token (default: 0) - `Ignore Eos`: enable to ignore end of stream tokens and continue generating (default: false). - \ No newline at end of file + diff --git a/README.md b/README.md index 53666775..19cbbdda 100644 --- a/README.md +++ b/README.md @@ -329,7 +329,7 @@ public class MyScript : MonoBehaviour llmCharacter.SetPrompt("A chat between a curious human and an artificial intelligence assistant."); // set the AI and player name llmCharacter.AIName = "AI"; - llmCharacter.playerName = "Human"; + llmCharacter.userName = "Human"; // optional: set streaming to false to get the complete result in one go // llmCharacter.stream = true; // optional: set a save path diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index e7aa7d57..e27d88d2 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -3,7 +3,7 @@ using System; using System.Collections.Generic; using System.IO; -using System.Threading; +using System.Linq; using System.Threading.Tasks; using UndreamAI.LlamaLib; using UnityEditor; @@ -34,9 +34,6 @@ public class LLM : MonoBehaviour /// If the user's GPU is not supported, the LLM will fall back to the CPU [Tooltip("number of model layers to offload to the GPU (0 = GPU not used). If the user's GPU is not supported, the LLM will fall back to the CPU")] [LLM] public int numGPULayers = 0; - /// log the output of the LLM in the Unity Editor. - [Tooltip("log the output of the LLM in the Unity Editor.")] - [LLM] public bool debug = false; /// number of prompts that can happen in parallel (-1 = number of LLMCaller objects) [Tooltip("number of prompts that can happen in parallel (-1 = number of LLMCaller objects)")] [LLMAdvanced] public int parallelPrompts = -1; @@ -63,7 +60,7 @@ public class LLM : MonoBehaviour [ModelAdvanced] public string model = ""; /// Chat template for the model [Tooltip("Chat template for the model")] - [ModelAdvanced] public string chatTemplate = ChatTemplate.DefaultTemplate; + [ModelAdvanced] public string chatTemplate = "auto"; /// LORA models to use (.gguf format) [Tooltip("LORA models to use (.gguf format)")] [ModelAdvanced] public string lora = ""; @@ -90,13 +87,22 @@ public class LLM : MonoBehaviour public int minContextLength = 0; public int maxContextLength = 0; + public static string[] ChatTemplates = new string[] + { + "auto", "chatml", "llama2", "llama2-sys", "llama2-sys-bos", "llama2-sys-strip", "mistral-v1", "mistral-v3", "mistral-v3-tekken", "mistral-v7", "mistral-v7-tekken", "phi3", "phi4", "falcon3", "zephyr", "monarch", "gemma", "orion", "openchat", "vicuna", "vicuna-orca", "deepseek", "deepseek2", "deepseek3", "command-r", "llama3", "chatglm3", "chatglm4", "glmedge", "minicpm", "exaone3", "exaone4", "rwkv-world", "granite", "gigachat", "megrez", "yandex", "bailing", "llama4", "smolvlm", "hunyuan-moe", "gpt-oss", "hunyuan-dense", "kimi-k2" + }; + + LlamaLib llmlib = null; + [Local, SerializeField] protected LLMService _llmService; + public LLMService llmService + { + get => _llmService; + protected set => _llmService = value; + } public string architecture => llmlib?.architecture; + List clients = new List(); - LlamaLib llmlib; - LLMService llmService = null; - Thread llmThread = null; public LLMManager llmManager = new LLMManager(); - private readonly object startLock = new object(); static readonly object staticLock = new object(); public LoraManager loraManager = new LoraManager(); string loraPre = ""; @@ -218,23 +224,13 @@ private void CreateLib() { bool useGPU = numGPULayers > 0; llmlib = new LlamaLibUnity(useGPU); - if (debug) + if (LLMUnitySetup.DebugMode <= LLMUnitySetup.DebugModeType.All) { - //todo - LlamaLibUnity.Debug(2); + LlamaLibUnity.Debug(LLMUnitySetup.DebugModeType.All - LLMUnitySetup.DebugMode + 1); LlamaLibUnity.LoggingCallback(LLMUnitySetup.Log); } } - // the following is the equivalent for running from command line - // string serverCommand; - // if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer) serverCommand = "undreamai_server.exe"; - // else serverCommand = "./undreamai_server"; - // serverCommand += " " + arguments; - // serverCommand += $" --template \"{chatTemplate}\""; - // if (remote && SSLCert != "" && SSLKey != "") serverCommand += $" --ssl-cert-file {SSLCertPath} --ssl-key-file {SSLKeyPath}"; - // LLMUnitySetup.Log($"Deploy server command: {serverCommand}"); - private void CreateService(string modelPath, List loraPaths) { int numSlots = GetNumClients(); @@ -266,8 +262,7 @@ private void CreateService(string modelPath, List loraPaths) if (!started) return; ApplyLoras(); - //todo - // llmService.SetTemplate(chatTemplate); + SetTemplate(chatTemplate); } /// @@ -359,7 +354,6 @@ public void SetModel(string path) { ModelEntry modelEntry = LLMManager.Get(model); if (modelEntry == null) modelEntry = new ModelEntry(GetLLMManagerAssetRuntime(model)); - SetTemplate(modelEntry.chatTemplate); maxContextLength = modelEntry.contextLength; if (contextSize > maxContextLength) contextSize = maxContextLength; @@ -457,11 +451,16 @@ public void UpdateLoras() /// /// Set the chat template for the LLM. /// - /// the chat template to use. The available templates can be found in the ChatTemplate.templates.Keys array + /// the chat template to use. The available templates can be found in the ChatTemplates array public void SetTemplate(string templateName, bool setDirty = true) { + if (!ChatTemplates.Contains(templateName)) + { + LLMUnitySetup.LogError($"Template {templateName} not supported!"); + return; + } chatTemplate = templateName; - if (started) llmService.SetTemplate(chatTemplate); + if (started) llmService.SetTemplate(chatTemplate == "auto"? "": chatTemplate); #if UNITY_EDITOR if (setDirty && !EditorApplication.isPlaying) EditorUtility.SetDirty(this); #endif @@ -675,6 +674,14 @@ public void CancelRequest(int id_slot) llmService.Cancel(id_slot); } + /// + /// Allows to cancel all the requests of the LLM + /// /// Stops and destroys the LLM /// @@ -686,12 +693,7 @@ public void Destroy() { if (llmlib != null) { - if (llmService != null) - { - Debug.Log("stopping"); - llmService.Dispose(); - Debug.Log("Dispose"); - } + llmService?.Dispose(); llmlib = null; } started = false; diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs new file mode 100644 index 00000000..0da7a52a --- /dev/null +++ b/Runtime/LLMAgent.cs @@ -0,0 +1,463 @@ +/// @file +/// @brief File implementing the LLM characters. +using Newtonsoft.Json.Linq; +using System; +using System.Collections.Generic; +using System.IO; +using System.Threading; +using System.Threading.Tasks; +using UndreamAI.LlamaLib; +using UnityEditor; +using UnityEngine; + +namespace LLMUnity +{ + [DefaultExecutionOrder(-2)] + /// @ingroup llm + /// + /// Class implementing the LLM characters. + /// + public class LLMAgent : LLMCaller + { + /// file to save the chat history. + /// The file will be saved within the persistentDataPath directory. + [Tooltip("file to save the chat history. The file will be saved within the persistentDataPath directory.")] + [LLM] public string save = ""; + /// save the LLM cache. Speeds up the prompt calculation when reloading from history but also requires ~100MB of space per character. + [Tooltip("save the LLM cache. Speeds up the prompt calculation when reloading from history but also requires ~100MB of space per character.")] + [LLM] public bool saveCache = false; + /// log the constructed prompt the Unity Editor. + // [Tooltip("log the constructed prompt the Unity Editor.")] + // [LLM] public bool debugPrompt = false; + /// maximum number of tokens that the LLM will predict (-1 = infinity). + [Tooltip("maximum number of tokens that the LLM will predict (-1 = infinity).")] + [Model] public int numPredict = -1; + /// slot of the server to use for computation (affects caching) + [Tooltip("slot of the server to use for computation (affects caching)")] + [ModelAdvanced] public int slot = -1; + /// grammar file used for the LLMAgent (.gbnf format) + [Tooltip("grammar file used for the LLMAgent (.gbnf format)")] + [ModelAdvanced] public string grammar = null; + /// grammar file used for the LLMAgent (.json format) + [Tooltip("grammar file used for the LLMAgent (.json format)")] + [ModelAdvanced] public string grammarJSON = null; + /// cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!) + [Tooltip("cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!)")] + [ModelAdvanced] public bool cachePrompt = true; + /// seed for reproducibility (-1 = no reproducibility). + [Tooltip("seed for reproducibility (-1 = no reproducibility).")] + [ModelAdvanced] public int seed = 0; + /// LLM temperature, lower values give more deterministic answers. + [Tooltip("LLM temperature, lower values give more deterministic answers.")] + [ModelAdvanced, Float(0f, 2f)] public float temperature = 0.2f; + /// Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). + /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. + /// + [Tooltip("Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] + [ModelAdvanced, Int(-1, 100)] public int topK = 40; + /// Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). + /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. + /// + [Tooltip("Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] + [ModelAdvanced, Float(0f, 1f)] public float topP = 0.9f; + /// minimum probability for a token to be used. + [Tooltip("minimum probability for a token to be used.")] + [ModelAdvanced, Float(0f, 1f)] public float minP = 0.05f; + /// Penalty based on repeated tokens to control the repetition of token sequences in the generated text. + [Tooltip("Penalty based on repeated tokens to control the repetition of token sequences in the generated text.")] + [ModelAdvanced, Float(0f, 2f)] public float repeatPenalty = 1.1f; + /// Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). + [Tooltip("Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] + [ModelAdvanced, Float(0f, 1f)] public float presencePenalty = 0f; + /// Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). + [Tooltip("Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] + [ModelAdvanced, Float(0f, 1f)] public float frequencyPenalty = 0f; + /// enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens. + [Tooltip("enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens.")] + [ModelAdvanced, Float(0f, 1f)] public float typicalP = 1f; + /// last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size). + [Tooltip("last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size).")] + [ModelAdvanced, Int(0, 2048)] public int repeatLastN = 64; + /// penalize newline tokens when applying the repeat penalty. + [Tooltip("penalize newline tokens when applying the repeat penalty.")] + [ModelAdvanced] public bool penalizeNl = true; + /// prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt) + [Tooltip("prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt)")] + [ModelAdvanced] public string penaltyPrompt; + /// enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). + [Tooltip("enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0).")] + [ModelAdvanced, Int(0, 2)] public int mirostat = 0; + /// The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text. + [Tooltip("The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text.")] + [ModelAdvanced, Float(0f, 10f)] public float mirostatTau = 5f; + /// The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text. + [Tooltip("The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text.")] + [ModelAdvanced, Float(0f, 1f)] public float mirostatEta = 0.1f; + /// if greater than 0, the response also contains the probabilities of top N tokens for each generated token. + [Tooltip("if greater than 0, the response also contains the probabilities of top N tokens for each generated token.")] + [ModelAdvanced, Int(0, 10)] public int nProbs = 0; + /// ignore end of stream token and continue generating. + [Tooltip("ignore end of stream token and continue generating.")] + [ModelAdvanced] public bool ignoreEos = false; + /// stopwords to stop the LLM in addition to the default stopwords from the chat template. + [Tooltip("stopwords to stop the LLM in addition to the default stopwords from the chat template.")] + public List stop = new List(); + /// the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. + /// By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated. + // [Tooltip("the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated.")] + // public Dictionary logitBias = null; + /// Receive the reply from the model as it is produced (recommended!). + /// If not selected, the full reply from the model is received in one go + [Tooltip("Receive the reply from the model as it is produced (recommended!). If not selected, the full reply from the model is received in one go")] + [Chat] public bool stream = true; + /// the name of the player + [Tooltip("the name of the player")] + [Chat] public string userName = "user"; + /// the name of the AI + [Tooltip("the name of the AI")] + [Chat] public string AIName = "assistant"; + /// a description of the AI role (system prompt) + [Tooltip("a description of the AI role (system prompt)")] + [TextArea(5, 10), Chat] public string prompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."; + /// the chat history as list of chat messages + /// the grammar to use + [Tooltip("the grammar to use")] + public string grammarString; + /// the grammar to use + [Tooltip("the grammar to use")] + public string grammarJSONString; + + /// \cond HIDE + protected SemaphoreSlim chatLock = new SemaphoreSlim(1, 1); + /// \endcond + + [Local, SerializeField] protected UndreamAI.LlamaLib.LLMAgent _llmAgent; + public UndreamAI.LlamaLib.LLMAgent llmAgent + { + get => _llmAgent; + protected set => _llmAgent = value; + } + + public List chat + { + get => llmAgent.GetHistory(); + set => llmAgent.SetHistory(value); + } + + /// + /// The Unity Awake function that initializes the state before the application starts. + /// The following actions are executed: + /// - the corresponding LLM server is defined (if ran locally) + /// - the grammar is set based on the grammar file + /// - the prompt and chat history are initialised + /// - the chat template is constructed + /// - the number of tokens to keep are based on the system prompt (if setNKeepToPrompt=true) + /// + public override void Awake() + { + if (!enabled) return; + base.Awake(); + if (!remote) + { + int slotFromServer = llm.Register(this); + if (slot == -1) slot = slotFromServer; + } + llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, prompt, userName, AIName); + InitGrammar(); + InitHistory(); + } + + protected override void OnValidate() + { + base.OnValidate(); + if (llm != null && llm.parallelPrompts > -1 && (slot < -1 || slot >= llm.parallelPrompts)) LLMUnitySetup.LogError($"The slot needs to be between 0 and {llm.parallelPrompts - 1}, or -1 to be automatically set"); + } + + protected override string NotValidLLMError() + { + return base.NotValidLLMError() + $", it is an embedding only model"; + } + + /// + /// Checks if a LLM is valid for the LLMCaller + /// + /// LLM object + /// bool specifying whether the LLM is valid + public override bool IsValidLLM(LLM llmSet) + { + return !llmSet.embeddingsOnly; + } + + protected override void SetLLMClient(LLMClient llmClientSet) + { + base.SetLLMClient(llmClientSet); + llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, prompt, userName, AIName); + } + + protected virtual void InitHistory() + { + ClearChat(); + _ = LoadHistory(); + } + + protected virtual async Task LoadHistory() + { + if (save == "" || !File.Exists(GetJsonSavePath(save))) return; + await chatLock.WaitAsync(); // Acquire the lock + try + { + Load(save); + } + finally + { + chatLock.Release(); // Release the lock + } + } + + protected virtual string GetSavePath(string filename) + { + return Path.Combine(Application.persistentDataPath, filename).Replace('\\', '/'); + } + + /// + /// Allows to get the save path of the chat history based on the provided filename or relative path. + /// + /// filename or relative path used for the save + /// save path + public virtual string GetJsonSavePath(string filename) + { + return GetSavePath(filename + ".json"); + } + + /// + /// Allows to get the save path of the LLM cache based on the provided filename or relative path. + /// + /// filename or relative path used for the save + /// save path + public virtual string GetCacheSavePath(string filename) + { + return GetSavePath(filename + ".cache"); + } + + /// + /// Clear the chat of the LLMAgent. + /// + public virtual void ClearChat() + { + llmAgent.ClearHistory(); + } + + /// + /// Set the system prompt for the LLMAgent. + /// + /// the system prompt + /// whether to clear (true) or keep (false) the current chat history on top of the system prompt. + public virtual void SetPrompt(string newPrompt, bool clearChat = true) + { + //TODO + llmAgent.SystemPrompt = newPrompt; + } + + protected virtual void InitGrammar() + { + grammarString = ""; + if (!String.IsNullOrEmpty(grammar)) + { + grammarString = File.ReadAllText(LLMUnitySetup.GetAssetPath(grammar)); + } + llmAgent.SetGrammar(grammarString); + } + + /// + /// Sets the grammar file of the LLMAgent (GBNF or JSON schema) + /// + /// path to the grammar file + public virtual async Task SetGrammar(string path) + { +#if UNITY_EDITOR + if (!EditorApplication.isPlaying) path = LLMUnitySetup.AddAsset(path); +#endif + await LLMUnitySetup.AndroidExtractAsset(path, true); + grammar = path; + InitGrammar(); + } + + protected virtual void SetCompletionParameters() + { + JObject json = new JObject + { + ["temperature"] = temperature, + ["top_k"] = topK, + ["top_p"] = topP, + ["min_p"] = minP, + ["n_predict"] = numPredict, + ["stream"] = stream, + ["typical_p"] = typicalP, + ["repeat_penalty"] = repeatPenalty, + ["repeat_last_n"] = repeatLastN, + ["penalize_nl"] = penalizeNl, + ["presence_penalty"] = presencePenalty, + ["frequency_penalty"] = frequencyPenalty, + ["penalty_prompt"] = (penaltyPrompt != null && penaltyPrompt != "") ? penaltyPrompt : null, + ["mirostat"] = mirostat, + ["mirostat_tau"] = mirostatTau, + ["mirostat_eta"] = mirostatEta, + ["json_schema"] = grammarJSONString, + ["seed"] = seed, + ["ignore_eos"] = ignoreEos, + ["n_probs"] = nProbs, + ["cache_prompt"] = cachePrompt + }; + llmAgent.SetCompletionParameters(json); + } + + /// + /// Allows to add a message in the chat history. + /// + /// message role (e.g. userName or AIName) + /// message content + public virtual void AddMessage(string role, string content) + { + // add the question / answer to the chat list, update prompt + llmAgent.AddMessage(role, content); + } + + /// + /// Allows to add a player message in the chat history. + /// + /// message content + public virtual void AddUserMessage(string content) + { + llmAgent.AddUserMessage(content); + } + + /// + /// Allows to add a AI message in the chat history. + /// + /// message content + public virtual void AddAIMessage(string content) + { + llmAgent.AddAssistantMessage(content); + } + + /// + /// Chat functionality of the LLM. + /// It calls the LLM completion based on the provided query including the previous chat history. + /// The function allows callbacks when the response is partially or fully received. + /// The question is added to the history if specified. + /// + /// user query + /// callback function that receives the response as string + /// callback function called when the full response has been received + /// whether to add the user query to the chat history + /// the LLM response + public virtual string ChatSync(string query, LlamaLib.CharArrayCallback callback = null, bool addToHistory = true) + { + // handle a chat message by the user + // call the callback function while the answer is received + // call the completionCallback function when the answer is fully received + SetCompletionParameters(); + return llmAgent.Chat(query, addToHistory, callback); + } + + /// + /// Chat functionality of the LLM (async). + /// It calls the LLM completion based on the provided query including the previous chat history. + /// The function allows callbacks when the response is partially or fully received. + /// The question is added to the history if specified. + /// + /// user query + /// callback function that receives the response as string + /// callback function called when the full response has been received + /// whether to add the user query to the chat history + /// the LLM response + public virtual async Task Chat(string query, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, bool addToHistory = true) + { + // handle a chat message by the user + // call the callback function while the answer is received + // call the completionCallback function when the answer is fully received + SetCompletionParameters(); + string result = await llmAgent.ChatAsync(query, addToHistory, callback); + completionCallback?.Invoke(); + return result; + } + + /// + /// Allow to warm-up a model by processing the system prompt. + /// The prompt processing will be cached (if cachePrompt=true) allowing for faster initialisation. + /// The function allows a callback function for when the prompt is processed and the response received. + /// + /// callback function called when the full response has been received + /// the LLM response + public virtual async Task Warmup(EmptyCallback completionCallback = null) + { + await Warmup(null, completionCallback); + } + + /// + /// Allow to warm-up a model by processing the provided prompt without adding it to history. + /// The prompt processing will be cached (if cachePrompt=true) allowing for faster initialisation. + /// The function allows a callback function for when the prompt is processed and the response received. + /// + /// + /// user prompt used during the initialisation (not added to history) + /// callback function called when the full response has been received + /// the LLM response + public virtual async Task Warmup(string query, EmptyCallback completionCallback = null) + { + int currNumPredict = numPredict; + numPredict = 0; + await Chat(query, null, completionCallback, false); + numPredict = currNumPredict; + SetCompletionParameters(); + } + + /// + /// Saves the chat history and cache to the provided filename / relative path. + /// + /// filename / relative path to save the chat history + /// + public virtual string Save(string filename) + { + string filepath = GetJsonSavePath(filename); + string dirname = Path.GetDirectoryName(filepath); + if (!Directory.Exists(dirname)) Directory.CreateDirectory(dirname); + llmAgent.SaveHistory(filepath); + + string cachepath = GetCacheSavePath(filename); + if (remote || !saveCache) return null; + string result = llmAgent.SaveSlot(cachepath); + return result; + } + + /// + /// Load the chat history and cache from the provided filename / relative path. + /// + /// filename / relative path to load the chat history from + /// + public virtual string Load(string filename) + { + string filepath = GetJsonSavePath(filename); + if (!File.Exists(filepath)) + { + LLMUnitySetup.LogError($"File {filepath} does not exist."); + return null; + } + llmAgent.LoadHistory(filepath); + LLMUnitySetup.Log($"Loaded {filepath}"); + + string cachepath = GetCacheSavePath(filename); + if (remote || !saveCache || !File.Exists(GetSavePath(cachepath))) return null; + string result = llmAgent.LoadSlot(cachepath); + return result; + } + + /// + /// Allows to cancel the requests of the LLMAgent + /// + public void CancelRequests() + { + llmAgent.Cancel(); + } + } +} diff --git a/Runtime/LLMChatTemplates.cs.meta b/Runtime/LLMAgent.cs.meta similarity index 83% rename from Runtime/LLMChatTemplates.cs.meta rename to Runtime/LLMAgent.cs.meta index 5cfa7005..2be83c16 100644 --- a/Runtime/LLMChatTemplates.cs.meta +++ b/Runtime/LLMAgent.cs.meta @@ -1,5 +1,5 @@ fileFormatVersion: 2 -guid: 7aafa0738b61af4af85e44b81b5625ca +guid: b4326d5ae3b03ff55847035351559f4e MonoImporter: externalObjects: {} serializedVersion: 2 diff --git a/Runtime/LLMCaller.cs b/Runtime/LLMCaller.cs index 4b69137d..9ed43c82 100644 --- a/Runtime/LLMCaller.cs +++ b/Runtime/LLMCaller.cs @@ -3,8 +3,8 @@ using System; using System.Collections.Generic; using System.Threading.Tasks; +using UndreamAI.LlamaLib; using UnityEngine; -using UnityEngine.Networking; namespace LLMUnity { @@ -26,7 +26,7 @@ public class LLMCaller : MonoBehaviour [Local, SerializeField] protected LLM _llm; public LLM llm { - get => _llm;//whatever + get => _llm; set => SetLLM(value); } /// API key for the remote server @@ -43,8 +43,13 @@ public LLM llm [Remote] public int numRetries = 10; protected LLM _prellm; - protected List<(string, string)> requestHeaders; - protected List WIPRequests = new List(); + + [Local, SerializeField] protected LLMClient _llmClient; + public LLMClient llmClient + { + get => _llmClient; + protected set => SetLLMClient(value); + } /// /// The Unity Awake function that initializes the state before the application starts. @@ -60,20 +65,20 @@ public virtual void Awake() // Start the LLM server in a cross-platform way if (!enabled) return; - requestHeaders = new List<(string, string)> { ("Content-Type", "application/json") }; if (!remote) { AssignLLM(); if (llm == null) { - string error = $"No LLM assigned or detected for LLMCharacter {name}!"; + string error = $"No LLM assigned or detected for LLMAgent {name}!"; LLMUnitySetup.LogError(error); throw new Exception(error); } + llmClient = new LLMClient(llm.llmService); } else { - if (!String.IsNullOrEmpty(APIKey)) requestHeaders.Add(("Authorization", "Bearer " + APIKey)); + llmClient = new LLMClient(host, port, APIKey); } } @@ -90,6 +95,12 @@ protected virtual void SetLLM(LLM llmSet) } _llm = llmSet; _prellm = _llm; + if (!remote) llmClient = new LLMClient(llm.llmService); + } + + protected virtual void SetLLMClient(LLMClient llmClientSet) + { + llmClient = llmClientSet; } /// @@ -175,168 +186,13 @@ protected virtual LLM[] SortLLMsByBestMatching(LLM[] arrayIn) return array; } - protected virtual List TokenizeContent(TokenizeResult result) - { - // get the tokens from a tokenize result received from the endpoint - return result.tokens; - } - - protected virtual string DetokenizeContent(TokenizeRequest result) - { - // get content from a chat result received from the endpoint - return result.content; - } - - protected virtual List EmbeddingsContent(EmbeddingsResult result) - { - // get content from a chat result received from the endpoint - return result.embedding; - } - - protected virtual Ret ConvertContent(string response, ContentCallback getContent = null) - { - // template function to convert the json received and get the content - if (response == null) return default; - response = response.Trim(); - if (response.StartsWith("data: ")) - { - string responseArray = ""; - foreach (string responsePart in response.Replace("\n\n", "").Split("data: ")) - { - if (responsePart == "") continue; - if (responseArray != "") responseArray += ",\n"; - responseArray += responsePart; - } - response = $"{{\"data\": [{responseArray}]}}"; - } - return getContent(JsonUtility.FromJson(response)); - } - - protected virtual void CancelRequestsLocal() {} - - protected virtual void CancelRequestsRemote() - { - foreach (UnityWebRequest request in WIPRequests) - { - request.Abort(); - } - WIPRequests.Clear(); - } - /// - /// Cancel the ongoing requests e.g. Chat, Complete. + /// Allows to cancel the requests in a specific slot of the LLM /// - // - public virtual void CancelRequests() - { - if (remote) CancelRequestsRemote(); - else CancelRequestsLocal(); - } - - protected virtual async Task PostRequestLocal(string json, string endpoint, ContentCallback getContent, Callback callback = null) - { - // send a post request to the server and call the relevant callbacks to convert the received content and handle it - // this function has streaming functionality i.e. handles the answer while it is being received - while (!llm.failed && !llm.started) await Task.Yield(); - string callResult = null; - switch (endpoint) - { - case "tokenize": - callResult = await llm.Tokenize(json); - break; - case "detokenize": - callResult = await llm.Detokenize(json); - break; - case "embeddings": - callResult = await llm.Embeddings(json); - break; - case "slots": - callResult = await llm.Slot(json); - break; - default: - LLMUnitySetup.LogError($"Unknown endpoint {endpoint}"); - break; - } - - Ret result = ConvertContent(callResult, getContent); - callback?.Invoke(result); - return result; - } - - protected virtual async Task PostRequestRemote(string json, string endpoint, ContentCallback getContent, Callback callback = null) + /// slot of the LLM + public void CancelRequest(int id_slot) { - // send a post request to the server and call the relevant callbacks to convert the received content and handle it - // this function has streaming functionality i.e. handles the answer while it is being received - if (endpoint == "slots") - { - LLMUnitySetup.LogError("Saving and loading is not currently supported in remote setting"); - return default; - } - - Ret result = default; - byte[] jsonToSend = new System.Text.UTF8Encoding().GetBytes(json); - UnityWebRequest request = null; - string error = null; - int tryNr = numRetries; - - while (tryNr != 0) - { - using (request = UnityWebRequest.Put($"{host}{(port != 0 ? $":{port}" : "")}/{endpoint}", jsonToSend)) - { - WIPRequests.Add(request); - - request.method = "POST"; - if (requestHeaders != null) - { - for (int i = 0; i < requestHeaders.Count; i++) - request.SetRequestHeader(requestHeaders[i].Item1, requestHeaders[i].Item2); - } - - // Start the request asynchronously - UnityWebRequestAsyncOperation asyncOperation = request.SendWebRequest(); - await Task.Yield(); // Wait for the next frame so that asyncOperation is properly registered (especially if not in main thread) - - float lastProgress = 0f; - // Continue updating progress until the request is completed - while (!asyncOperation.isDone) - { - float currentProgress = request.downloadProgress; - // Check if progress has changed - if (currentProgress != lastProgress && callback != null) - { - callback?.Invoke(ConvertContent(request.downloadHandler.text, getContent)); - lastProgress = currentProgress; - } - // Wait for the next frame - await Task.Yield(); - } - WIPRequests.Remove(request); - if (request.result == UnityWebRequest.Result.Success) - { - result = ConvertContent(request.downloadHandler.text, getContent); - error = null; - break; - } - else - { - result = default; - error = request.error; - if (request.responseCode == (int)System.Net.HttpStatusCode.Unauthorized) break; - } - } - tryNr--; - if (tryNr > 0) await Task.Delay(200 * (numRetries - tryNr)); - } - - if (error != null) LLMUnitySetup.LogError(error); - callback?.Invoke(result); - return result; - } - - protected virtual async Task PostRequest(string json, string endpoint, ContentCallback getContent, Callback callback = null) - { - if (remote) return await PostRequestRemote(json, endpoint, getContent, callback); - return await PostRequestLocal(json, endpoint, getContent, callback); + llmClient.Cancel(id_slot); } /// @@ -345,13 +201,11 @@ protected virtual async Task PostRequest(string json, string endp /// query to tokenise /// callback function called with the result tokens /// list of the tokens - public virtual async Task> Tokenize(string query, Callback> callback = null) + public virtual List Tokenize(string query, Callback> callback = null) { - // handle the tokenization of a message by the user - TokenizeRequest tokenizeRequest = new TokenizeRequest(); - tokenizeRequest.content = query; - string json = JsonUtility.ToJson(tokenizeRequest); - return await PostRequest>(json, "tokenize", TokenizeContent, callback); + List tokens = llmClient.Tokenize(query); + callback?.Invoke(tokens); + return tokens; } /// @@ -360,13 +214,12 @@ public virtual async Task> Tokenize(string query, Callback> /// tokens to detokenise /// callback function called with the result string /// the detokenised string - public virtual async Task Detokenize(List tokens, Callback callback = null) + public virtual string Detokenize(List tokens, Callback callback = null) { // handle the detokenization of a message by the user - TokenizeResult tokenizeRequest = new TokenizeResult(); - tokenizeRequest.tokens = tokens; - string json = JsonUtility.ToJson(tokenizeRequest); - return await PostRequest(json, "detokenize", DetokenizeContent, callback); + string prompt = llmClient.Detokenize(tokens); + callback?.Invoke(prompt); + return prompt; } /// @@ -375,13 +228,50 @@ public virtual async Task Detokenize(List tokens, Callback /// input to compute the embeddings for /// callback function called with the result string /// the computed embeddings - public virtual async Task> Embeddings(string query, Callback> callback = null) + public virtual List Embeddings(string query, Callback> callback = null) { // handle the tokenization of a message by the user - TokenizeRequest tokenizeRequest = new TokenizeRequest(); - tokenizeRequest.content = query; - string json = JsonUtility.ToJson(tokenizeRequest); - return await PostRequest>(json, "embeddings", EmbeddingsContent, callback); + List embeddings = llmClient.Embeddings(query); + callback?.Invoke(embeddings); + return embeddings; + } + + /// + /// Completion functionality of the LLM. + /// It calls the LLM completion based solely on the provided prompt (no formatting by the chat template). + /// The function allows callbacks when the response is partially or fully received. + /// + /// user query + /// callback function that receives the response as string + /// callback function called when the full response has been received + /// the LLM response + public virtual string CompletionSync(string prompt, LlamaLib.CharArrayCallback callback = null) + { + // handle a completion request by the user + // call the callback function while the answer is received + // call the completionCallback function when the answer is fully received + + return llmClient.Completion(prompt, callback); + } + + /// + /// Completion functionality of the LLM (async). + /// It calls the LLM completion based solely on the provided prompt (no formatting by the chat template). + /// The function allows callbacks when the response is partially or fully received. + /// + /// user query + /// callback function that receives the response as string + /// callback function called when the full response has been received + /// the LLM response + public virtual async Task Completion(string prompt, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null) + { + // handle a completion request by the user + // call the callback function while the answer is received + // call the completionCallback function when the answer is fully received + + string result = await llmClient.CompletionAsync(prompt, callback); + completionCallback?.Invoke(); + return result; } } } diff --git a/Runtime/LLMCharacter.cs b/Runtime/LLMCharacter.cs index 0bf91a15..93f02fce 100644 --- a/Runtime/LLMCharacter.cs +++ b/Runtime/LLMCharacter.cs @@ -1,11 +1,5 @@ /// @file /// @brief File implementing the LLM characters. -using System; -using System.Collections.Generic; -using System.IO; -using System.Threading; -using System.Threading.Tasks; -using UnityEditor; using UnityEngine; namespace LLMUnity @@ -15,712 +9,6 @@ namespace LLMUnity /// /// Class implementing the LLM characters. /// - public class LLMCharacter : LLMCaller - { - /// file to save the chat history. - /// The file will be saved within the persistentDataPath directory. - [Tooltip("file to save the chat history. The file will be saved within the persistentDataPath directory.")] - [LLM] public string save = ""; - /// save the LLM cache. Speeds up the prompt calculation when reloading from history but also requires ~100MB of space per character. - [Tooltip("save the LLM cache. Speeds up the prompt calculation when reloading from history but also requires ~100MB of space per character.")] - [LLM] public bool saveCache = false; - /// log the constructed prompt the Unity Editor. - [Tooltip("log the constructed prompt the Unity Editor.")] - [LLM] public bool debugPrompt = false; - /// maximum number of tokens that the LLM will predict (-1 = infinity). - [Tooltip("maximum number of tokens that the LLM will predict (-1 = infinity).")] - [Model] public int numPredict = -1; - /// slot of the server to use for computation (affects caching) - [Tooltip("slot of the server to use for computation (affects caching)")] - [ModelAdvanced] public int slot = -1; - /// grammar file used for the LLMCharacter (.gbnf format) - [Tooltip("grammar file used for the LLMCharacter (.gbnf format)")] - [ModelAdvanced] public string grammar = null; - /// grammar file used for the LLMCharacter (.json format) - [Tooltip("grammar file used for the LLMCharacter (.json format)")] - [ModelAdvanced] public string grammarJSON = null; - /// cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!) - [Tooltip("cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!)")] - [ModelAdvanced] public bool cachePrompt = true; - /// seed for reproducibility (-1 = no reproducibility). - [Tooltip("seed for reproducibility (-1 = no reproducibility).")] - [ModelAdvanced] public int seed = 0; - /// LLM temperature, lower values give more deterministic answers. - [Tooltip("LLM temperature, lower values give more deterministic answers.")] - [ModelAdvanced, Float(0f, 2f)] public float temperature = 0.2f; - /// Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). - /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. - /// - [Tooltip("Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] - [ModelAdvanced, Int(-1, 100)] public int topK = 40; - /// Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). - /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. - /// - [Tooltip("Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] - [ModelAdvanced, Float(0f, 1f)] public float topP = 0.9f; - /// minimum probability for a token to be used. - [Tooltip("minimum probability for a token to be used.")] - [ModelAdvanced, Float(0f, 1f)] public float minP = 0.05f; - /// Penalty based on repeated tokens to control the repetition of token sequences in the generated text. - [Tooltip("Penalty based on repeated tokens to control the repetition of token sequences in the generated text.")] - [ModelAdvanced, Float(0f, 2f)] public float repeatPenalty = 1.1f; - /// Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). - [Tooltip("Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] - [ModelAdvanced, Float(0f, 1f)] public float presencePenalty = 0f; - /// Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). - [Tooltip("Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] - [ModelAdvanced, Float(0f, 1f)] public float frequencyPenalty = 0f; - /// enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens. - [Tooltip("enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens.")] - [ModelAdvanced, Float(0f, 1f)] public float typicalP = 1f; - /// last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size). - [Tooltip("last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size).")] - [ModelAdvanced, Int(0, 2048)] public int repeatLastN = 64; - /// penalize newline tokens when applying the repeat penalty. - [Tooltip("penalize newline tokens when applying the repeat penalty.")] - [ModelAdvanced] public bool penalizeNl = true; - /// prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt) - [Tooltip("prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt)")] - [ModelAdvanced] public string penaltyPrompt; - /// enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). - [Tooltip("enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0).")] - [ModelAdvanced, Int(0, 2)] public int mirostat = 0; - /// The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text. - [Tooltip("The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text.")] - [ModelAdvanced, Float(0f, 10f)] public float mirostatTau = 5f; - /// The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text. - [Tooltip("The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text.")] - [ModelAdvanced, Float(0f, 1f)] public float mirostatEta = 0.1f; - /// if greater than 0, the response also contains the probabilities of top N tokens for each generated token. - [Tooltip("if greater than 0, the response also contains the probabilities of top N tokens for each generated token.")] - [ModelAdvanced, Int(0, 10)] public int nProbs = 0; - /// ignore end of stream token and continue generating. - [Tooltip("ignore end of stream token and continue generating.")] - [ModelAdvanced] public bool ignoreEos = false; - /// number of tokens to retain from the prompt when the model runs out of context (-1 = LLMCharacter prompt tokens if setNKeepToPrompt is set to true). - [Tooltip("number of tokens to retain from the prompt when the model runs out of context (-1 = LLMCharacter prompt tokens if setNKeepToPrompt is set to true).")] - public int nKeep = -1; - /// stopwords to stop the LLM in addition to the default stopwords from the chat template. - [Tooltip("stopwords to stop the LLM in addition to the default stopwords from the chat template.")] - public List stop = new List(); - /// the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. - /// By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated. - [Tooltip("the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated.")] - public Dictionary logitBias = null; - /// Receive the reply from the model as it is produced (recommended!). - /// If not selected, the full reply from the model is received in one go - [Tooltip("Receive the reply from the model as it is produced (recommended!). If not selected, the full reply from the model is received in one go")] - [Chat] public bool stream = true; - /// the name of the player - [Tooltip("the name of the player")] - [Chat] public string playerName = "user"; - /// the name of the AI - [Tooltip("the name of the AI")] - [Chat] public string AIName = "assistant"; - /// a description of the AI role (system prompt) - [Tooltip("a description of the AI role (system prompt)")] - [TextArea(5, 10), Chat] public string prompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."; - /// set the number of tokens to always retain from the prompt (nKeep) based on the LLMCharacter system prompt - [Tooltip("set the number of tokens to always retain from the prompt (nKeep) based on the LLMCharacter system prompt")] - public bool setNKeepToPrompt = true; - /// the chat history as list of chat messages - [Tooltip("the chat history as list of chat messages")] - public List chat = new List(); - /// the grammar to use - [Tooltip("the grammar to use")] - public string grammarString; - /// the grammar to use - [Tooltip("the grammar to use")] - public string grammarJSONString; - - /// \cond HIDE - protected SemaphoreSlim chatLock = new SemaphoreSlim(1, 1); - protected string chatTemplate; - protected ChatTemplate template = null; - /// \endcond - - /// - /// The Unity Awake function that initializes the state before the application starts. - /// The following actions are executed: - /// - the corresponding LLM server is defined (if ran locally) - /// - the grammar is set based on the grammar file - /// - the prompt and chat history are initialised - /// - the chat template is constructed - /// - the number of tokens to keep are based on the system prompt (if setNKeepToPrompt=true) - /// - public override void Awake() - { - if (!enabled) return; - base.Awake(); - if (!remote) - { - int slotFromServer = llm.Register(this); - if (slot == -1) slot = slotFromServer; - } - InitGrammar(); - InitHistory(); - } - - protected override void OnValidate() - { - base.OnValidate(); - if (llm != null && llm.parallelPrompts > -1 && (slot < -1 || slot >= llm.parallelPrompts)) LLMUnitySetup.LogError($"The slot needs to be between 0 and {llm.parallelPrompts-1}, or -1 to be automatically set"); - } - - protected override string NotValidLLMError() - { - return base.NotValidLLMError() + $", it is an embedding only model"; - } - - /// - /// Checks if a LLM is valid for the LLMCaller - /// - /// LLM object - /// bool specifying whether the LLM is valid - public override bool IsValidLLM(LLM llmSet) - { - return !llmSet.embeddingsOnly; - } - - protected virtual void InitHistory() - { - ClearChat(); - _ = LoadHistory(); - } - - protected virtual async Task LoadHistory() - { - if (save == "" || !File.Exists(GetJsonSavePath(save))) return; - await chatLock.WaitAsync(); // Acquire the lock - try - { - await Load(save); - } - finally - { - chatLock.Release(); // Release the lock - } - } - - protected virtual string GetSavePath(string filename) - { - return Path.Combine(Application.persistentDataPath, filename).Replace('\\', '/'); - } - - /// - /// Allows to get the save path of the chat history based on the provided filename or relative path. - /// - /// filename or relative path used for the save - /// save path - public virtual string GetJsonSavePath(string filename) - { - return GetSavePath(filename + ".json"); - } - - /// - /// Allows to get the save path of the LLM cache based on the provided filename or relative path. - /// - /// filename or relative path used for the save - /// save path - public virtual string GetCacheSavePath(string filename) - { - return GetSavePath(filename + ".cache"); - } - - /// - /// Clear the chat of the LLMCharacter. - /// - public virtual void ClearChat() - { - chat.Clear(); - ChatMessage promptMessage = new ChatMessage { role = "system", content = prompt }; - chat.Add(promptMessage); - } - - /// - /// Set the system prompt for the LLMCharacter. - /// - /// the system prompt - /// whether to clear (true) or keep (false) the current chat history on top of the system prompt. - public virtual void SetPrompt(string newPrompt, bool clearChat = true) - { - prompt = newPrompt; - nKeep = -1; - if (clearChat) ClearChat(); - else chat[0] = new ChatMessage { role = "system", content = prompt }; - } - - protected virtual bool CheckTemplate() - { - if (template == null) - { - LLMUnitySetup.LogError("Template not set!"); - return false; - } - return true; - } - - protected virtual async Task InitNKeep() - { - if (setNKeepToPrompt && nKeep == -1) - { - if (!CheckTemplate()) return false; - string systemPrompt = template.ComputePrompt(new List(){chat[0]}, playerName, "", false); - List tokens = await Tokenize(systemPrompt); - if (tokens == null) return false; - SetNKeep(tokens); - } - return true; - } - - protected virtual void InitGrammar() - { - grammarString = ""; - grammarJSONString = ""; - if (!String.IsNullOrEmpty(grammar)) - { - grammarString = File.ReadAllText(LLMUnitySetup.GetAssetPath(grammar)); - if (!String.IsNullOrEmpty(grammarJSON)) - LLMUnitySetup.LogWarning("Both GBNF and JSON grammars are set, only the GBNF will be used"); - } - else if (!String.IsNullOrEmpty(grammarJSON)) - { - grammarJSONString = File.ReadAllText(LLMUnitySetup.GetAssetPath(grammarJSON)); - } - } - - protected virtual void SetNKeep(List tokens) - { - // set the tokens to keep - nKeep = tokens.Count; - } - - /// - /// Loads the chat template of the LLMCharacter. - /// - /// - public virtual async Task LoadTemplate() - { - string llmTemplate; - if (remote) - { - llmTemplate = await AskTemplate(); - } - else - { - llmTemplate = llm.GetTemplate(); - } - if (llmTemplate != chatTemplate) - { - chatTemplate = llmTemplate; - template = chatTemplate == null ? null : ChatTemplate.GetTemplate(chatTemplate); - nKeep = -1; - } - } - - /// - /// Sets the grammar file of the LLMCharacter - /// - /// path to the grammar file - public virtual async Task SetGrammarFile(string path, bool gnbf) - { -#if UNITY_EDITOR - if (!EditorApplication.isPlaying) path = LLMUnitySetup.AddAsset(path); -#endif - await LLMUnitySetup.AndroidExtractAsset(path, true); - if (gnbf) grammar = path; - else grammarJSON = path; - InitGrammar(); - } - - /// - /// Sets the grammar file of the LLMCharacter (GBNF) - /// - /// path to the grammar file - public virtual async Task SetGrammar(string path) - { - await SetGrammarFile(path, true); - } - - /// - /// Sets the grammar file of the LLMCharacter (JSON schema) - /// - /// path to the grammar file - public virtual async Task SetJSONGrammar(string path) - { - await SetGrammarFile(path, false); - } - - protected virtual List GetStopwords() - { - if (!CheckTemplate()) return null; - List stopAll = new List(template.GetStop(playerName, AIName)); - if (stop != null) stopAll.AddRange(stop); - return stopAll; - } - - protected virtual ChatRequest GenerateRequest(string prompt) - { - // setup the request struct - ChatRequest chatRequest = new ChatRequest(); - if (debugPrompt) LLMUnitySetup.Log(prompt); - chatRequest.prompt = prompt; - chatRequest.id_slot = slot; - chatRequest.temperature = temperature; - chatRequest.top_k = topK; - chatRequest.top_p = topP; - chatRequest.min_p = minP; - chatRequest.n_predict = numPredict; - chatRequest.n_keep = nKeep; - chatRequest.stream = stream; - chatRequest.stop = GetStopwords(); - chatRequest.typical_p = typicalP; - chatRequest.repeat_penalty = repeatPenalty; - chatRequest.repeat_last_n = repeatLastN; - chatRequest.penalize_nl = penalizeNl; - chatRequest.presence_penalty = presencePenalty; - chatRequest.frequency_penalty = frequencyPenalty; - chatRequest.penalty_prompt = (penaltyPrompt != null && penaltyPrompt != "") ? penaltyPrompt : null; - chatRequest.mirostat = mirostat; - chatRequest.mirostat_tau = mirostatTau; - chatRequest.mirostat_eta = mirostatEta; - chatRequest.grammar = grammarString; - chatRequest.json_schema = grammarJSONString; - chatRequest.seed = seed; - chatRequest.ignore_eos = ignoreEos; - chatRequest.logit_bias = logitBias; - chatRequest.n_probs = nProbs; - chatRequest.cache_prompt = cachePrompt; - return chatRequest; - } - - /// - /// Allows to add a message in the chat history. - /// - /// message role (e.g. playerName or AIName) - /// message content - public virtual void AddMessage(string role, string content) - { - // add the question / answer to the chat list, update prompt - chat.Add(new ChatMessage { role = role, content = content }); - } - - /// - /// Allows to add a player message in the chat history. - /// - /// message content - public virtual void AddPlayerMessage(string content) - { - AddMessage(playerName, content); - } - - /// - /// Allows to add a AI message in the chat history. - /// - /// message content - public virtual void AddAIMessage(string content) - { - AddMessage(AIName, content); - } - - protected virtual string ChatContent(ChatResult result) - { - // get content from a chat result received from the endpoint - return result.content.Trim(); - } - - protected virtual string MultiChatContent(MultiChatResult result) - { - // get content from a chat result received from the endpoint - string response = ""; - foreach (ChatResult resultPart in result.data) - { - response += resultPart.content; - } - return response.Trim(); - } - - protected virtual string SlotContent(SlotResult result) - { - // get the tokens from a tokenize result received from the endpoint - return result.filename; - } - - protected virtual string TemplateContent(TemplateResult result) - { - // get content from a char result received from the endpoint in open AI format - return result.template; - } - - protected virtual string ChatRequestToJson(ChatRequest request) - { - string json = JsonUtility.ToJson(request); - int grammarIndex = json.LastIndexOf('}'); - if (!String.IsNullOrEmpty(request.grammar)) - { - GrammarWrapper grammarWrapper = new GrammarWrapper { grammar = request.grammar }; - string grammarToJSON = JsonUtility.ToJson(grammarWrapper); - int start = grammarToJSON.IndexOf(":\"") + 2; - int end = grammarToJSON.LastIndexOf("\""); - string grammarSerialised = grammarToJSON.Substring(start, end - start); - json = json.Insert(grammarIndex, $",\"grammar\": \"{grammarSerialised}\""); - } - else if (!String.IsNullOrEmpty(request.json_schema)) - { - json = json.Insert(grammarIndex, $",\"json_schema\":{request.json_schema}"); - } - return json; - } - - protected virtual async Task CompletionRequest(ChatRequest request, Callback callback = null) - { - string json = ChatRequestToJson(request); - string result = ""; - if (stream) - { - result = await PostRequest(json, "completion", MultiChatContent, callback); - } - else - { - result = await PostRequest(json, "completion", ChatContent, callback); - } - return result; - } - - protected async Task PromptWithQuery(string query) - { - ChatRequest result = default; - await chatLock.WaitAsync(); - try - { - AddPlayerMessage(query); - string prompt = template.ComputePrompt(chat, playerName, AIName); - result = GenerateRequest(prompt); - chat.RemoveAt(chat.Count - 1); - } - finally - { - chatLock.Release(); - } - return result; - } - - /// - /// Chat functionality of the LLM. - /// It calls the LLM completion based on the provided query including the previous chat history. - /// The function allows callbacks when the response is partially or fully received. - /// The question is added to the history if specified. - /// - /// user query - /// callback function that receives the response as string - /// callback function called when the full response has been received - /// whether to add the user query to the chat history - /// the LLM response - public virtual async Task Chat(string query, Callback callback = null, EmptyCallback completionCallback = null, bool addToHistory = true) - { - // handle a chat message by the user - // call the callback function while the answer is received - // call the completionCallback function when the answer is fully received - await LoadTemplate(); - if (!CheckTemplate()) return null; - if (!await InitNKeep()) return null; - - ChatRequest request = await PromptWithQuery(query); - string result = await CompletionRequest(request, callback); - - if (addToHistory && result != null) - { - await chatLock.WaitAsync(); - try - { - AddPlayerMessage(query); - AddAIMessage(result); - } - finally - { - chatLock.Release(); - } - if (save != "") _ = Save(save); - } - - completionCallback?.Invoke(); - return result; - } - - /// - /// Pure completion functionality of the LLM. - /// It calls the LLM completion based solely on the provided prompt (no formatting by the chat template). - /// The function allows callbacks when the response is partially or fully received. - /// - /// user query - /// callback function that receives the response as string - /// callback function called when the full response has been received - /// the LLM response - public virtual async Task Complete(string prompt, Callback callback = null, EmptyCallback completionCallback = null) - { - // handle a completion request by the user - // call the callback function while the answer is received - // call the completionCallback function when the answer is fully received - await LoadTemplate(); - - ChatRequest request = GenerateRequest(prompt); - string result = await CompletionRequest(request, callback); - completionCallback?.Invoke(); - return result; - } - - /// - /// Allow to warm-up a model by processing the system prompt. - /// The prompt processing will be cached (if cachePrompt=true) allowing for faster initialisation. - /// The function allows a callback function for when the prompt is processed and the response received. - /// - /// callback function called when the full response has been received - /// the LLM response - public virtual async Task Warmup(EmptyCallback completionCallback = null) - { - await Warmup(null, completionCallback); - } - - /// - /// Allow to warm-up a model by processing the provided prompt without adding it to history. - /// The prompt processing will be cached (if cachePrompt=true) allowing for faster initialisation. - /// The function allows a callback function for when the prompt is processed and the response received. - /// - /// - /// user prompt used during the initialisation (not added to history) - /// callback function called when the full response has been received - /// the LLM response - public virtual async Task Warmup(string query, EmptyCallback completionCallback = null) - { - await LoadTemplate(); - if (!CheckTemplate()) return; - if (!await InitNKeep()) return; - - ChatRequest request; - if (String.IsNullOrEmpty(query)) - { - string prompt = template.ComputePrompt(chat, playerName, AIName, false); - request = GenerateRequest(prompt); - } - else - { - request = await PromptWithQuery(query); - } - - request.n_predict = 0; - await CompletionRequest(request); - completionCallback?.Invoke(); - } - - /// - /// Asks the LLM for the chat template to use. - /// - /// the chat template of the LLM - public virtual async Task AskTemplate() - { - return await PostRequest("{}", "template", TemplateContent); - } - - protected override void CancelRequestsLocal() - { - if (slot >= 0) llm.CancelRequest(slot); - } - - protected virtual async Task Slot(string filepath, string action) - { - SlotRequest slotRequest = new SlotRequest(); - slotRequest.id_slot = slot; - slotRequest.filepath = filepath; - slotRequest.action = action; - string json = JsonUtility.ToJson(slotRequest); - return await PostRequest(json, "slots", SlotContent); - } - - /// - /// Saves the chat history and cache to the provided filename / relative path. - /// - /// filename / relative path to save the chat history - /// - public virtual async Task Save(string filename) - { - string filepath = GetJsonSavePath(filename); - string dirname = Path.GetDirectoryName(filepath); - if (!Directory.Exists(dirname)) Directory.CreateDirectory(dirname); - string json = JsonUtility.ToJson(new ChatListWrapper { chat = chat.GetRange(1, chat.Count - 1) }); - File.WriteAllText(filepath, json); - - string cachepath = GetCacheSavePath(filename); - if (remote || !saveCache) return null; - string result = await Slot(cachepath, "save"); - return result; - } - - /// - /// Load the chat history and cache from the provided filename / relative path. - /// - /// filename / relative path to load the chat history from - /// - public virtual async Task Load(string filename) - { - string filepath = GetJsonSavePath(filename); - if (!File.Exists(filepath)) - { - LLMUnitySetup.LogError($"File {filepath} does not exist."); - return null; - } - string json = File.ReadAllText(filepath); - List chatHistory = JsonUtility.FromJson(json).chat; - ClearChat(); - chat.AddRange(chatHistory); - LLMUnitySetup.Log($"Loaded {filepath}"); - - string cachepath = GetCacheSavePath(filename); - if (remote || !saveCache || !File.Exists(GetSavePath(cachepath))) return null; - string result = await Slot(cachepath, "restore"); - return result; - } - - protected override async Task PostRequestLocal(string json, string endpoint, ContentCallback getContent, Callback callback = null) - { - if (endpoint != "completion") return await base.PostRequestLocal(json, endpoint, getContent, callback); - - while (!llm.failed && !llm.started) await Task.Yield(); - - string callResult = null; - bool callbackCalled = false; - if (llm.embeddingsOnly) LLMUnitySetup.LogError("The LLM can't be used for completion, only for embeddings"); - else - { - Callback callbackString = null; - if (stream && callback != null) - { - if (typeof(Ret) == typeof(string)) - { - callbackString = (strArg) => - { - callback(ConvertContent(strArg, getContent)); - }; - } - else - { - LLMUnitySetup.LogError($"wrong callback type, should be string"); - } - callbackCalled = true; - } - callResult = await llm.Completion(json, callbackString); - } - - Ret result = ConvertContent(callResult, getContent); - if (!callbackCalled) callback?.Invoke(result); - return result; - } - } - - /// \cond HIDE - [Serializable] - public class ChatListWrapper - { - public List chat; - } - /// \endcond + public class LLMCharacter : LLMUnity.LLMAgent + {} } diff --git a/Runtime/LLMChatTemplates.cs b/Runtime/LLMChatTemplates.cs deleted file mode 100644 index 2919f56c..00000000 --- a/Runtime/LLMChatTemplates.cs +++ /dev/null @@ -1,710 +0,0 @@ -/// @file -/// @brief File implementing the chat templates. -using System.Collections.Generic; -using System.IO; - -namespace LLMUnity -{ - /// @ingroup template - /// - /// Class implementing the skeleton of a chat template - /// - public abstract class ChatTemplate - { - /// the default template used when it can't be determined ("chatml") - public static string DefaultTemplate; - /// a dictionary from chat template name to chat template type. - /// It can be used to get the chat template names supported with: - /// \code - /// ChatTemplate.templates.Keys - /// \endcode - /// - public static Dictionary templates; - /// \cond HIDE - public static ChatTemplate[] templateClasses; - public static Dictionary templatesDescription; - public static Dictionary modelTemplates; - public static Dictionary chatTemplates; - /// \endcond - - static ChatTemplate() - { - DefaultTemplate = "chatml"; - - templateClasses = new ChatTemplate[] - { - new ChatMLTemplate(), - new AlpacaTemplate(), - new GemmaTemplate(), - new MistralChatTemplate(), - new MistralInstructTemplate(), - new LLama3ChatTemplate(), - new LLama2ChatTemplate(), - new LLama2Template(), - new Phi4MiniTemplate(), - new Phi4Template(), - new Phi3_5Template(), - new Phi3Template(), - new Phi2Template(), - new DeepSeekR1Template(), - new DeepSeekV3Template(), - new DeepSeekV2Template(), - new VicunaTemplate(), - new ZephyrTemplate(), - new Qwen3Template(), - new BitNetTemplate(), - }; - - templates = new Dictionary(); - templatesDescription = new Dictionary(); - modelTemplates = new Dictionary(); - chatTemplates = new Dictionary(); - foreach (ChatTemplate template in templateClasses) - { - if (templates.ContainsKey(template.GetName())) LLMUnitySetup.LogError($"{template.GetName()} already in templates"); - templates[template.GetName()] = template; - if (templatesDescription.ContainsKey(template.GetDescription())) LLMUnitySetup.LogError($"{template.GetDescription()} already in templatesDescription"); - templatesDescription[template.GetDescription()] = template.GetName(); - foreach (string match in template.GetNameMatches()) - { - if (modelTemplates.ContainsKey(match)) LLMUnitySetup.LogError($"Name for {template.GetName()} already in modelTemplates"); - modelTemplates[match] = template.GetName(); - } - foreach (string match in template.GetChatTemplateMatches()) - { - if (chatTemplates.ContainsKey(match)) LLMUnitySetup.LogError($"Chat template for {template.GetName()} already in chatTemplates"); - chatTemplates[match] = template.GetName(); - } - } - } - - /// - /// Determines the chat template name from a search name. - /// It searches if any of the chat template names is a substring of the provided name. - /// - /// search name - /// chat template name - public static string FromName(string name) - { - if (name == null) return null; - string nameLower = name.ToLower(); - int maxMatch = 0; - string match = null; - foreach (var pair in modelTemplates) - { - if (nameLower.Contains(pair.Key) && pair.Key.Length > maxMatch) - { - maxMatch = pair.Key.Length; - match = pair.Value; - } - } - return match; - } - - /// - /// Determines the chat template name from a Jinja template. - /// - /// Jinja template - /// chat template name - public static string FromTemplate(string template) - { - if (template == null) return null; - string templateTrim = template.Trim(); - if (chatTemplates.TryGetValue(templateTrim, out string value)) - return value; - return null; - } - - /// - /// Determines the chat template name from a GGUF file. - /// It reads the GGUF file and then determines the chat template name based on: - /// - the jinja template defined in the file (if it exists and matched) - /// - the model name defined in the file (if it exists and matched) - /// - the filename defined in the file (if matched) - /// - otherwises uses the DefaultTemplate - /// - /// GGUF file path - /// template name - public static string FromGGUF(string path) - { - return FromGGUF(new GGUFReader(path), path); - } - - public static string FromGGUF(GGUFReader reader, string path) - { - string name; - name = FromTemplate(reader.GetStringField("tokenizer.chat_template")); - if (name != null) return name; - - name = FromName(reader.GetStringField("general.name")); - if (name != null) return name; - - name = FromName(Path.GetFileNameWithoutExtension(path)); - if (name != null) return name; - - LLMUnitySetup.Log("No chat template could be matched, fallback to ChatML"); - return DefaultTemplate; - } - - /// - /// Creates the chat template based on the provided chat template name - /// - /// chat template name - /// chat template - public static ChatTemplate GetTemplate(string template) - { - return templates[template]; - } - - /// Returns the chat template name - public virtual string GetName() { return ""; } - /// Returns the chat template description - public virtual string GetDescription() { return ""; } - /// Returns an array of names that can be used to match the chat template - public virtual string[] GetNameMatches() { return new string[] {}; } - /// Returns an array of jinja templates that can be used to match the chat template - public virtual string[] GetChatTemplateMatches() { return new string[] {}; } - /// Returns an array of the stopwords used by the template - public virtual string[] GetStop(string playerName, string AIName) { return new string[] {}; } - - protected virtual string PromptPrefix() { return ""; } - protected virtual string SystemPrefix() { return ""; } - protected virtual string SystemSuffix() { return ""; } - protected virtual string PlayerPrefix(string playerName) { return ""; } - protected virtual string AIPrefix(string AIName) { return ""; } - protected virtual string PrefixMessageSeparator() { return ""; } - protected virtual string RequestPrefix() { return ""; } - protected virtual string RequestSuffix() { return ""; } - protected virtual string PairSuffix() { return ""; } - - protected virtual bool SystemPromptSupported() { return true; } - protected virtual bool HasThinkingMode() { return false; } - - /// Constructs the prompt using the template based on a list of ChatMessages - /// list of ChatMessages e.g. the LLMCharacter chat - /// the AI name - /// whether to end the prompt with the AI prefix - /// prompt - public virtual string ComputePrompt(List chatMessages, string playerName, string AIName, bool endWithPrefix = true) - { - List messages = chatMessages; - if (!SystemPromptSupported()) - { - if (chatMessages[0].role == "system") - { - string firstUserMessage = chatMessages[0].content; - int newStart = 1; - if (chatMessages.Count > 1) - { - if (firstUserMessage != "") firstUserMessage += "\n\n"; - firstUserMessage += chatMessages[1].content; - newStart = 2; - } - messages = new List(){new ChatMessage { role = playerName, content = firstUserMessage }}; - messages.AddRange(chatMessages.GetRange(newStart, chatMessages.Count - newStart)); - } - } - - string chatPrompt = PromptPrefix(); - int start = 0; - if (messages[0].role == "system") - { - chatPrompt += RequestPrefix() + SystemPrefix() + messages[0].content + SystemSuffix(); - start = 1; - } - for (int i = start; i < messages.Count; i += 2) - { - if (i > start || start == 0) chatPrompt += RequestPrefix(); - chatPrompt += PlayerPrefix(messages[i].role) + PrefixMessageSeparator() + messages[i].content + RequestSuffix(); - if (i < messages.Count - 1) - { - chatPrompt += AIPrefix(messages[i + 1].role) + PrefixMessageSeparator() + messages[i + 1].content + PairSuffix(); - } - } - if (endWithPrefix) - { - chatPrompt += AIPrefix(AIName); - if (HasThinkingMode()) chatPrompt += "\n\n\n\n"; - } - return chatPrompt; - } - - protected string[] AddStopNewlines(string[] stop) - { - List stopWithNewLines = new List(); - foreach (string stopword in stop) - { - stopWithNewLines.Add(stopword); - stopWithNewLines.Add("\n" + stopword); - } - return stopWithNewLines.ToArray(); - } - } - - /// @ingroup template - /// - /// Class implementing the ChatML template - /// - public class ChatMLTemplate : ChatTemplate - { - public override string GetName() { return "chatml"; } - public override string GetDescription() { return "chatml (generic template)"; } - public override string[] GetNameMatches() { return new string[] {"chatml", "hermes", "qwen"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"}; } - - protected override string SystemPrefix() { return "<|im_start|>system\n"; } - protected override string SystemSuffix() { return "<|im_end|>\n"; } - protected override string PlayerPrefix(string playerName) { return $"<|im_start|>{playerName}\n"; } - protected override string AIPrefix(string AIName) { return $"<|im_start|>{AIName}\n"; } - protected override string RequestSuffix() { return "<|im_end|>\n"; } - protected override string PairSuffix() { return "<|im_end|>\n"; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<|im_start|>", "<|im_end|>" }); - } - } - - /// @ingroup template - /// - /// Class implementing the LLama2 template - /// - public class LLama2Template : ChatTemplate - { - public override string GetName() { return "llama"; } - public override string GetDescription() { return "llama 2"; } - - protected override string SystemPrefix() { return "<>\n"; } - protected override string SystemSuffix() { return "\n<> "; } - protected override string RequestPrefix() { return "[INST] "; } - protected override string RequestSuffix() { return " [/INST]"; } - protected override string PairSuffix() { return " "; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "[INST]", "[/INST]" }); - } - } - - /// @ingroup template - /// - /// Class implementing a modified version of the LLama2 template for chat - /// - public class LLama2ChatTemplate : LLama2Template - { - public override string GetName() { return "llama chat"; } - public override string GetDescription() { return "llama 2 (chat)"; } - public override string[] GetNameMatches() { return new string[] {"llama-2", "llama v2"}; } - - protected override string PlayerPrefix(string playerName) { return "### " + playerName + ":"; } - protected override string AIPrefix(string AIName) { return "### " + AIName + ":"; } - protected override string PrefixMessageSeparator() { return " "; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "[INST]", "[/INST]", "###" }); - } - } - - /// @ingroup template - /// - /// Class implementing the LLama3 template for chat - /// - public class LLama3ChatTemplate : ChatTemplate - { - public override string GetName() { return "llama3 chat"; } - public override string GetDescription() { return "llama 3 (chat)"; } - public override string[] GetNameMatches() { return new string[] {"llama-3", "llama v3"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}"};} - - protected override string SystemPrefix() { return "<|start_header_id|>system<|end_header_id|>\n\n"; } - protected override string SystemSuffix() { return "<|eot_id|>"; } - - protected override string RequestSuffix() { return "<|eot_id|>"; } - protected override string PairSuffix() { return "<|eot_id|>"; } - - protected override string PlayerPrefix(string playerName) { return $"<|start_header_id|>{playerName}<|end_header_id|>\n\n"; } - protected override string AIPrefix(string AIName) { return $"<|start_header_id|>{AIName}<|end_header_id|>\n\n"; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<|eot_id|>" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Mistral Instruct template - /// - public class MistralInstructTemplate : ChatTemplate - { - public override string GetName() { return "mistral instruct"; } - public override string GetDescription() { return "mistral instruct"; } - - protected override string SystemPrefix() { return ""; } - protected override string SystemSuffix() { return "\n\n"; } - protected override string RequestPrefix() { return "[INST] "; } - protected override string RequestSuffix() { return " [/INST]"; } - protected override string PairSuffix() { return ""; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "", "[INST]", "[/INST]" }); - } - } - - /// @ingroup template - /// - /// Class implementing a modified version of the Mistral Instruct template for chat - /// - public class MistralChatTemplate : MistralInstructTemplate - { - public override string GetName() { return "mistral chat"; } - public override string GetDescription() { return "mistral (chat)"; } - public override string[] GetNameMatches() { return new string[] {"mistral"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}"}; } - - protected override string PlayerPrefix(string playerName) { return "### " + playerName + ":"; } - protected override string AIPrefix(string AIName) { return "### " + AIName + ":"; } - protected override string PrefixMessageSeparator() { return " "; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "", "[INST]", "[/INST]", "###" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Gemma template - /// - public class GemmaTemplate : ChatTemplate - { - public override string GetName() { return "gemma"; } - public override string GetDescription() { return "gemma"; } - public override string[] GetNameMatches() { return new string[] {"gemma"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '' + role + '\n' + message['content'] | trim + '\n' }}{% endfor %}{% if add_generation_prompt %}{{'model\n'}}{% endif %}"}; } - - protected override string RequestSuffix() { return "\n"; } - protected override string PairSuffix() { return "\n"; } - - protected override string PlayerPrefix(string playerName) { return "user\n"; } - protected override string AIPrefix(string AIName) { return "model\n"; } - - protected override bool SystemPromptSupported() { return false; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "", "" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Alpaca template - /// - public class AlpacaTemplate : ChatTemplate - { - public override string GetName() { return "alpaca"; } - public override string GetDescription() { return "alpaca (best alternative)"; } - public override string[] GetNameMatches() { return new string[] {"alpaca"}; } - - protected override string SystemSuffix() { return "\n\n"; } - protected override string RequestSuffix() { return "\n"; } - protected override string PlayerPrefix(string playerName) { return "### " + playerName + ":"; } - protected override string AIPrefix(string AIName) { return "### " + AIName + ":"; } - protected override string PrefixMessageSeparator() { return " "; } - protected override string PairSuffix() { return "\n"; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "###" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Vicuna template - /// - public class VicunaTemplate : ChatTemplate - { - public override string GetName() { return "vicuna"; } - public override string GetDescription() { return "vicuna"; } - public override string[] GetNameMatches() { return new string[] {"vicuna"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{% if message['role'] == 'system' %}{{message['content'] + ' '}}{% elif message['role'] == 'user' %}{{ 'USER: ' + message['content'] + ' '}}{% elif message['role'] == 'assistant' %}{{ 'ASSISTANT: ' + message['content'] + ' '}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'ASSISTANT: '}}{% endif %}"}; } - - protected override string SystemSuffix() { return "\n"; } - protected override string PlayerPrefix(string playerName) { return "\n" + playerName + ":"; } - protected override string AIPrefix(string AIName) { return "\n" + AIName + ":"; } - protected override string PrefixMessageSeparator() { return " "; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { playerName + ":", AIName + ":" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Phi-2 template - /// - public class Phi2Template : ChatTemplate - { - public override string GetName() { return "phi"; } - public override string GetDescription() { return "phi-2"; } - public override string[] GetNameMatches() { return new string[] {"phi-2"}; } - - protected override string SystemSuffix() { return "\n\n"; } - protected override string RequestSuffix() { return "\n"; } - protected override string PlayerPrefix(string playerName) { return playerName + ":"; } - protected override string AIPrefix(string AIName) { return AIName + ":"; } - protected override string PrefixMessageSeparator() { return " "; } - protected override string PairSuffix() { return "\n"; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { playerName + ":", AIName + ":" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Phi-3 template - /// - public class Phi3Template : ChatTemplate - { - public override string GetName() { return "phi-3"; } - public override string GetDescription() { return "phi-3"; } - public override string[] GetNameMatches() { return new string[] {"phi-3"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}"}; } - - protected override string PlayerPrefix(string playerName) { return $"<|user|>\n"; } - protected override string AIPrefix(string AIName) { return $"<|assistant|>\n"; } - protected override string RequestSuffix() { return "<|end|>\n"; } - protected override string PairSuffix() { return "<|end|>\n"; } - - protected override bool SystemPromptSupported() { return false; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<|end|>", "<|user|>", "<|assistant|>" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Phi-4 mini template - /// - public class Phi3_5Template : ChatTemplate - { - public override string GetName() { return "phi-3.5"; } - public override string GetDescription() { return "phi-3.5"; } - public override string[] GetNameMatches() { return new string[] {"phi-3.5"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}"};} - - protected override string PlayerPrefix(string playerName) { return $"<|user|>\n"; } - protected override string AIPrefix(string AIName) { return $"<|assistant|>\n"; } - protected override string RequestSuffix() { return "<|end|>\n"; } - protected override string PairSuffix() { return "<|end|>\n"; } - protected override string SystemPrefix() { return "<|system|>\n"; } - protected override string SystemSuffix() { return "<|end|>\n"; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<|end|>", "<|user|>", "<|assistant|>" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Phi-4 mini template - /// - public class Phi4MiniTemplate : ChatTemplate - { - public override string GetName() { return "phi-4-mini"; } - public override string GetDescription() { return "phi-4-mini"; } - public override string[] GetNameMatches() { return new string[] {"phi-4-mini"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{% for message in messages %}{% if message['role'] == 'system' and 'tools' in message and message['tools'] is not none %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|tool|>' + message['tools'] + '<|/tool|>' + '<|end|>' }}{% else %}{{ '<|' + message['role'] + '|>' + message['content'] + '<|end|>' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>' }}{% else %}{{ eos_token }}{% endif %}"};} - - protected override string PlayerPrefix(string playerName) { return $"<|user|>"; } - protected override string AIPrefix(string AIName) { return $"<|assistant|>"; } - protected override string RequestSuffix() { return "<|end|>"; } - protected override string PairSuffix() { return "<|end|>"; } - protected override string SystemPrefix() { return "<|system|>"; } - protected override string SystemSuffix() { return "<|end|>"; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<|end|>", "<|user|>", "<|assistant|>" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Phi-4 template - /// - public class Phi4Template : ChatTemplate - { - public override string GetName() { return "phi-4"; } - public override string GetDescription() { return "phi-4"; } - public override string[] GetNameMatches() { return new string[] {"phi-4"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{% for message in messages %}{% if (message['role'] == 'system') %}{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'user') %}{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'assistant') %}{{'<|im_start|>assistant<|im_sep|>' + message['content'] + '<|im_end|>'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant<|im_sep|>' }}{% endif %}"};} - - protected override string PlayerPrefix(string playerName) { return $"<|im_start|>user<|im_sep|>"; } - protected override string AIPrefix(string AIName) { return $"<|im_start|>assistant<|im_sep|>"; } - protected override string RequestSuffix() { return "<|im_end|>"; } - protected override string PairSuffix() { return "<|im_end|>"; } - protected override string SystemPrefix() { return "<|im_start|>system<|im_sep|>"; } - protected override string SystemSuffix() { return "<|im_end|>"; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<|im_end|>", "<|im_start|>" }); - } - } - - /// @ingroup template - /// - /// Class implementing the Zephyr template - /// - public class ZephyrTemplate : ChatTemplate - { - public override string GetName() { return "zephyr"; } - public override string GetDescription() { return "zephyr"; } - public override string[] GetNameMatches() { return new string[] {"zephyr"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}"}; } - - protected override string SystemPrefix() { return "<|system|>\n"; } - protected override string SystemSuffix() { return "\n"; } - protected override string PlayerPrefix(string playerName) { return $"<|user|>\n"; } - protected override string AIPrefix(string AIName) { return $"<|assistant|>\n"; } - protected override string RequestSuffix() { return "\n"; } - protected override string PairSuffix() { return "\n"; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { $"<|user|>", $"<|assistant|>" }); - } - } - - /// @ingroup template - /// - /// Class implementing the DeepSeek V2 template - /// - public class DeepSeekV2Template : ChatTemplate - { - public override string GetName() { return "deepseek-v2"; } - public override string GetDescription() { return "deepseek-v2"; } - public override string[] GetNameMatches() { return new string[] {"deepseek-v2", "deepseek-llm"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}"}; } - - protected override string PrefixMessageSeparator() { return " "; } - protected override string PromptPrefix() { return "<｜begin▁of▁sentence｜>"; } - protected override string PlayerPrefix(string playerName) { return "User:"; } - protected override string AIPrefix(string AIName) { return "Assistant:"; } - protected override string PairSuffix() { return "<｜end▁of▁sentence｜>"; } - protected override string RequestSuffix() { return "\n\n"; } - protected override string SystemSuffix() { return "\n\n"; } - - // protected override bool SystemPromptSupported() { return false; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<｜end▁of▁sentence｜>", "User:", "Assistant:" }); - } - } - - /// @ingroup template - /// - /// Class implementing the DeepSeek V3 template - /// - public class DeepSeekV3Template : DeepSeekV2Template - { - public override string GetName() { return "deepseek-v3"; } - public override string GetDescription() { return "deepseek-v3"; } - public override string[] GetNameMatches() { return new string[] {"deepseek-v2.5", "deepseek-v3"}; } - public override string[] GetChatTemplateMatches() - { - return new string[] - { - "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{{'<｜Assistant｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %}", - "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true) %}{%- for message in messages %}{%- if message['role'] == 'system' %}{%- if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{%- else %}{% set ns.system_prompt = ns.system_prompt + '\n\n' + message['content'] %}{%- endif %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{{'<｜Assistant｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %}" - }; - } - - protected override string PrefixMessageSeparator() { return ""; } - protected override string PlayerPrefix(string playerName) { return "<｜User｜>"; } - protected override string AIPrefix(string AIName) { return "<｜Assistant｜>"; } - protected override string RequestSuffix() { return ""; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<｜end▁of▁sentence｜>", "<｜User｜>", "<｜Assistant｜>" }); - } - } - - /// @ingroup template - /// - /// Class implementing the DeepSeek R1 template - /// - public class DeepSeekR1Template : DeepSeekV3Template - { - public override string GetName() { return "deepseek-r1"; } - public override string GetDescription() { return "deepseek-r1"; } - public override string[] GetNameMatches() { return new string[] {"deepseek-r1"}; } - public override string[] GetChatTemplateMatches() - { - return new string[] - { - "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true) %}{%- for message in messages %}{%- if message['role'] == 'system' %}{%- if ns.is_first_sp %}{% set ns.system_prompt = ns.system_prompt + message['content'] %}{% set ns.is_first_sp = false %}{%- else %}{% set ns.system_prompt = ns.system_prompt + '\\n\\n' + message['content'] %}{%- endif %}{%- endif %}{%- endfor %}{{ bos_token }}{{ ns.system_prompt }}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and 'tool_calls' in message %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls'] %}{%- if not ns.is_first %}{%- if message['content'] is none %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- else %}{{'<｜Assistant｜>' + message['content'] + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- endif %}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- endif %}{%- endfor %}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- if message['role'] == 'assistant' and 'tool_calls' not in message %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '' in content %}{% set content = content.split('')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>\\n'}}{% endif %}", - "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '' in content %}{% set content = content.split('')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>\\n'}}{% endif %}" - }; - } - - protected override bool HasThinkingMode() { return true; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<｜end▁of▁sentence｜>", "<｜User｜>", "<｜Assistant｜>", "" }); - } - } - - - /// @ingroup template - /// - /// Class implementing the Qwen3 template - /// - public class Qwen3Template : ChatMLTemplate - { - public override string GetName() { return "qwen3"; } - public override string GetDescription() { return "qwen3"; } - public override string[] GetNameMatches() { return new string[] { "qwen3" }; } - public override string[] GetChatTemplateMatches() { return new string[] { "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within XML tags:\\n\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n\\n\\nFor each function call, return a json object with function name and arguments within XML tags:\\n\\n{\\\"name\\\": , \\\"arguments\\\": }\\n<|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for forward_message in messages %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- set message = messages[index] %}\n {%- set tool_start = '' %}\n {%- set tool_start_length = tool_start|length %}\n {%- set start_of_message = message.content[:tool_start_length] %}\n {%- set tool_end = '' %}\n {%- set tool_end_length = tool_end|length %}\n {%- set start_pos = (message.content|length) - tool_end_length %}\n {%- if start_pos < 0 %}\n {%- set start_pos = 0 %}\n {%- endif %}\n {%- set end_of_message = message.content[start_pos:] %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(start_of_message == tool_start and end_of_message == tool_end) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '' in message.content %}\n {%- set content = (message.content.split('')|last).lstrip('\\n') %}\n {%- set reasoning_content = (message.content.split('')|first).rstrip('\\n') %}\n {%- set reasoning_content = (reasoning_content.split('')|last).lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n\\n' + reasoning_content.strip('\\n') + '\\n\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n\\n' }}\n {{- message.content }}\n {{- '\\n' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '\\n\\n\\n\\n' }}\n {%- endif %}\n{%- endif %}" }; } - - protected override bool HasThinkingMode() { return true; } - } - - /// @ingroup template - /// - /// Class implementing the BitNet template - /// - public class BitNetTemplate : ChatTemplate - { - public override string GetName() { return "bitnet"; } - public override string GetDescription() { return "bitnet"; } - public override string[] GetNameMatches() { return new string[] {"bitnet"}; } - public override string[] GetChatTemplateMatches() { return new string[] {"{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = message['role'] | capitalize + ': '+ message['content'] | trim + '<|eot_id|>' %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant: ' }}{% endif %}"};} - - protected override string PlayerPrefix(string playerName) { return "User: "; } - protected override string AIPrefix(string AIName) { return "Assistant: "; } - protected override string RequestSuffix() { return "<|eot_id|>"; } - protected override string PairSuffix() { return "<|eot_id|>"; } - protected override string SystemPrefix() { return "System: "; } - protected override string SystemSuffix() { return "<|eot_id|>"; } - - public override string[] GetStop(string playerName, string AIName) - { - return AddStopNewlines(new string[] { "<|eot_id|>", "User", "Assistant" }); - } - } -} diff --git a/Runtime/LLMInterface.cs b/Runtime/LLMInterface.cs deleted file mode 100644 index 748131ff..00000000 --- a/Runtime/LLMInterface.cs +++ /dev/null @@ -1,158 +0,0 @@ -/// @file -/// @brief File implementing the LLM server interfaces. -using System; -using System.Collections.Generic; - -/// \cond HIDE -namespace LLMUnity -{ - [Serializable] - public struct ChatRequest - { - public string prompt; - public int id_slot; - public float temperature; - public int top_k; - public float top_p; - public float min_p; - public int n_predict; - public int n_keep; - public bool stream; - public List stop; - public float tfs_z; - public float typical_p; - public float repeat_penalty; - public int repeat_last_n; - public bool penalize_nl; - public float presence_penalty; - public float frequency_penalty; - public string penalty_prompt; - public int mirostat; - public float mirostat_tau; - public float mirostat_eta; - // EXCLUDE grammars from JsonUtility serialization, serialise them manually - [NonSerialized] public string grammar; - [NonSerialized] public string json_schema; - public int seed; - public bool ignore_eos; - public Dictionary logit_bias; - public int n_probs; - public bool cache_prompt; - public List messages; - } - - [Serializable] - public struct GrammarWrapper - { - public string grammar; - } - - [Serializable] - public struct SystemPromptRequest - { - public string prompt; - public string system_prompt; - public int n_predict; - } - - [Serializable] - public struct ChatResult - { - public int id_slot; - public string content; - public bool stop; - public string generation_settings; - public string model; - public string prompt; - public bool stopped_eos; - public bool stopped_limit; - public bool stopped_word; - public string stopping_word; - public string timings; - public int tokens_cached; - public int tokens_evaluated; - public bool truncated; - public bool cache_prompt; - public bool system_prompt; - } - - [Serializable] - public struct MultiChatResult - { - public List data; - } - - [Serializable] - public struct ChatMessage - { - public string role; - public string content; - } - - [Serializable] - public struct TokenizeRequest - { - public string content; - } - - [Serializable] - public struct TokenizeResult - { - public List tokens; - } - - [Serializable] - public struct EmbeddingsResult - { - public List embedding; - } - - [Serializable] - public struct LoraWeightRequest - { - public int id; - public float scale; - } - - [Serializable] - public struct LoraWeightRequestList - { - public List loraWeights; - } - - [Serializable] - public struct LoraWeightResult - { - public int id; - public string path; - public float scale; - } - - [Serializable] - public struct LoraWeightResultList - { - public List loraWeights; - } - - [Serializable] - public struct TemplateResult - { - public string template; - } - - [Serializable] - public struct SlotRequest - { - public int id_slot; - public string action; - public string filepath; - } - - [Serializable] - public struct SlotResult - { - public int id_slot; - public string filename; - } -} -/// \endcond diff --git a/Runtime/LLMInterface.cs.meta b/Runtime/LLMInterface.cs.meta deleted file mode 100644 index 66038d3a..00000000 --- a/Runtime/LLMInterface.cs.meta +++ /dev/null @@ -1,11 +0,0 @@ -fileFormatVersion: 2 -guid: 3c7da7ca2b36d79e99acecc300de2902 -MonoImporter: - externalObjects: {} - serializedVersion: 2 - defaultReferences: [] - executionOrder: 0 - icon: {instanceID: 0} - userData: - assetBundleName: - assetBundleVariant: diff --git a/Runtime/LLMManager.cs b/Runtime/LLMManager.cs index 238fa80c..98813062 100644 --- a/Runtime/LLMManager.cs +++ b/Runtime/LLMManager.cs @@ -20,7 +20,6 @@ public class ModelEntry public string filename; public string path; public bool lora; - public string chatTemplate; public string url; public bool embeddingOnly; public int embeddingLength; @@ -60,7 +59,6 @@ public ModelEntry(string path, bool lora = false, string label = null, string ur this.path = LLMUnitySetup.GetFullPath(path); this.url = url; includeInBuild = true; - chatTemplate = null; contextLength = -1; embeddingOnly = false; embeddingLength = 0; @@ -74,7 +72,6 @@ public ModelEntry(string path, bool lora = false, string label = null, string ur embeddingLength = reader.GetIntField($"{arch}.embedding_length"); } embeddingOnly = embeddingOnlyArchs.Contains(arch); - chatTemplate = embeddingOnly ? default : ChatTemplate.FromGGUF(reader, this.path); } } @@ -205,34 +202,6 @@ public static async Task SetupOnce() return true; } - /// - /// Sets the chat template for a model and distributes it to all LLMs using it - /// - /// model path - /// chat template - public static void SetTemplate(string filename, string chatTemplate) - { - SetTemplate(Get(filename), chatTemplate); - } - - /// - /// Sets the chat template for a model and distributes it to all LLMs using it - /// - /// model entry - /// chat template - public static void SetTemplate(ModelEntry entry, string chatTemplate) - { - if (entry == null) return; - entry.chatTemplate = chatTemplate; - foreach (LLM llm in llms) - { - if (llm != null && llm.model == entry.filename) llm.SetTemplate(chatTemplate); - } -#if UNITY_EDITOR - Save(); -#endif - } - /// /// Gets the model entry for a model path /// diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index 512b39b7..86b16d5a 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -175,6 +175,7 @@ public class LLMUnitySetup public enum DebugModeType { + Debug, All, Warning, Error, diff --git a/Runtime/RAG/Chunking.cs b/Runtime/RAG/Chunking.cs index 4040e663..094b4b2b 100644 --- a/Runtime/RAG/Chunking.cs +++ b/Runtime/RAG/Chunking.cs @@ -37,7 +37,7 @@ public void ReturnChunks(bool returnChunks) /// /// phrase /// List of start/end indices of the split chunks - public abstract Task> Split(string input); + public abstract List<(int, int)> Split(string input); /// /// Retrieves the phrase with the specific id @@ -60,15 +60,15 @@ public override string Get(int key) /// input phrase /// data group to add it to /// phrase id - public override async Task Add(string inputString, string group = "") + public override int Add(string inputString, string group = "") { int key = nextKey++; // sentence -> phrase List sentenceIds = new List(); - foreach ((int startIndex, int endIndex) in await Split(inputString)) + foreach ((int startIndex, int endIndex) in Split(inputString)) { string sentenceText = inputString.Substring(startIndex, endIndex - startIndex + 1); - int sentenceId = await search.Add(sentenceText, group); + int sentenceId = search.Add(sentenceText, group); sentenceIds.Add(sentenceId); sentenceToPhrase[sentenceId] = key; @@ -166,9 +166,9 @@ public override int Count(string group) /// search query /// data group to search in /// incremental search key - public override async Task IncrementalSearch(string queryString, string group = "") + public override int IncrementalSearch(string queryString, string group = "") { - return await search.IncrementalSearch(queryString, group); + return search.IncrementalSearch(queryString, group); } /// diff --git a/Runtime/RAG/RAG.cs b/Runtime/RAG/RAG.cs index a1b26183..d83e57ca 100644 --- a/Runtime/RAG/RAG.cs +++ b/Runtime/RAG/RAG.cs @@ -117,13 +117,13 @@ public virtual void OnValidate() #endif public override string Get(int key) { return GetSearcher().Get(key); } - public override async Task Add(string inputString, string group = "") { return await GetSearcher().Add(inputString, group); } + public override int Add(string inputString, string group = "") { return GetSearcher().Add(inputString, group); } public override int Remove(string inputString, string group = "") { return GetSearcher().Remove(inputString, group); } public override void Remove(int key) { GetSearcher().Remove(key); } public override int Count() { return GetSearcher().Count(); } public override int Count(string group) { return GetSearcher().Count(group); } public override void Clear() { GetSearcher().Clear(); } - public override async Task IncrementalSearch(string queryString, string group = "") { return await GetSearcher().IncrementalSearch(queryString, group);} + public override int IncrementalSearch(string queryString, string group = "") { return GetSearcher().IncrementalSearch(queryString, group);} public override (string[], float[], bool) IncrementalFetch(int fetchKey, int k) { return GetSearcher().IncrementalFetch(fetchKey, k);} public override (int[], float[], bool) IncrementalFetchKeys(int fetchKey, int k) { return GetSearcher().IncrementalFetchKeys(fetchKey, k);} public override void IncrementalSearchComplete(int fetchKey) { GetSearcher().IncrementalSearchComplete(fetchKey);} diff --git a/Runtime/RAG/Search.cs b/Runtime/RAG/Search.cs index 249beafb..84e4938f 100644 --- a/Runtime/RAG/Search.cs +++ b/Runtime/RAG/Search.cs @@ -33,7 +33,7 @@ public abstract class Searchable : MonoBehaviour /// input phrase /// data group to add it to /// phrase id - public abstract Task Add(string inputString, string group = ""); + public abstract int Add(string inputString, string group = ""); /// /// Removes a phrase from the search. @@ -73,7 +73,7 @@ public abstract class Searchable : MonoBehaviour /// search query /// data group to search in /// incremental search key - public abstract Task IncrementalSearch(string queryString, string group = ""); + public abstract int IncrementalSearch(string queryString, string group = ""); /// /// Retrieves the most similar search results in batches (incremental search). @@ -112,9 +112,9 @@ public abstract class Searchable : MonoBehaviour /// `bool` indicating if the search is exhausted. /// /// - public async Task<(string[], float[])> Search(string queryString, int k, string group = "") + public (string[], float[]) Search(string queryString, int k, string group = "") { - int fetchKey = await IncrementalSearch(queryString, group); + int fetchKey = IncrementalSearch(queryString, group); (string[] phrases, float[] distances, bool completed) = IncrementalFetch(fetchKey, k); if (!completed) IncrementalSearchComplete(fetchKey); return (phrases, distances); @@ -290,11 +290,11 @@ public void SetLLM(LLM llm) /// Array of distances for each result (`float[]`). /// /// - public async Task<(string[], float[])> SearchFromList(string query, string[] searchList) + public (string[], float[]) SearchFromList(string query, string[] searchList) { - float[] embedding = await Encode(query); + float[] embedding = Encode(query); float[][] embeddingsList = new float[searchList.Length][]; - for (int i = 0; i < searchList.Length; i++) embeddingsList[i] = await Encode(searchList[i]); + for (int i = 0; i < searchList.Length; i++) embeddingsList[i] = Encode(searchList[i]); float[] unsortedDistances = InverseDotProduct(embedding, embeddingsList); List<(string, float)> sortedLists = searchList.Zip(unsortedDistances, (first, second) => (first, second)) @@ -339,19 +339,19 @@ public static float[] InverseDotProduct(float[] vector1, float[][] vector2) return results; } - public virtual async Task Encode(string inputString) + public virtual float[] Encode(string inputString) { - return (await llmEmbedder.Embeddings(inputString)).ToArray(); + return llmEmbedder.Embeddings(inputString).ToArray(); } - public virtual async Task> Tokenize(string query, Callback> callback = null) + public virtual List Tokenize(string query, Callback> callback = null) { - return await llmEmbedder.Tokenize(query, callback); + return llmEmbedder.Tokenize(query, callback); } - public async Task Detokenize(List tokens, Callback callback = null) + public virtual string Detokenize(List tokens, Callback callback = null) { - return await llmEmbedder.Detokenize(tokens, callback); + return llmEmbedder.Detokenize(tokens, callback); } public override string Get(int key) @@ -360,10 +360,10 @@ public override string Get(int key) return null; } - public override async Task Add(string inputString, string group = "") + public override int Add(string inputString, string group = "") { int key = nextKey++; - AddInternal(key, await Encode(inputString)); + AddInternal(key, Encode(inputString)); data[key] = inputString; if (!dataSplits.ContainsKey(group)) dataSplits[group] = new List(){key}; @@ -421,9 +421,9 @@ public override int Count(string group) return dataSplit.Count; } - public override async Task IncrementalSearch(string queryString, string group = "") + public override int IncrementalSearch(string queryString, string group = "") { - return IncrementalSearch(await Encode(queryString), group); + return IncrementalSearch(Encode(queryString), group); } public override void Save(ZipArchive archive) diff --git a/Runtime/RAG/SentenceSplitter.cs b/Runtime/RAG/SentenceSplitter.cs index 809300f0..3d46f938 100644 --- a/Runtime/RAG/SentenceSplitter.cs +++ b/Runtime/RAG/SentenceSplitter.cs @@ -25,30 +25,28 @@ public class SentenceSplitter : Chunking /// /// phrase /// List of start/end indices of the split chunks - public override async Task> Split(string input) + public override List<(int, int)> Split(string input) { List<(int, int)> indices = new List<(int, int)>(); - await Task.Run(() => { - int startIndex = 0; - bool seenChar = false; - for (int i = 0; i < input.Length; i++) + int startIndex = 0; + bool seenChar = false; + for (int i = 0; i < input.Length; i++) + { + bool isDelimiter = delimiters.Contains(input[i]); + if (isDelimiter) { - bool isDelimiter = delimiters.Contains(input[i]); - if (isDelimiter) - { - while ((i < input.Length - 1) && (delimiters.Contains(input[i + 1]) || char.IsWhiteSpace(input[i + 1]))) i++; - } - else - { - if (!seenChar) seenChar = !char.IsWhiteSpace(input[i]); - } - if ((i == input.Length - 1) || (isDelimiter && seenChar)) - { - indices.Add((startIndex, i)); - startIndex = i + 1; - } + while ((i < input.Length - 1) && (delimiters.Contains(input[i + 1]) || char.IsWhiteSpace(input[i + 1]))) i++; } - }); + else + { + if (!seenChar) seenChar = !char.IsWhiteSpace(input[i]); + } + if ((i == input.Length - 1) || (isDelimiter && seenChar)) + { + indices.Add((startIndex, i)); + startIndex = i + 1; + } + } return indices; } } diff --git a/Runtime/RAG/TokenSplitter.cs b/Runtime/RAG/TokenSplitter.cs index cb57313b..7abf563b 100644 --- a/Runtime/RAG/TokenSplitter.cs +++ b/Runtime/RAG/TokenSplitter.cs @@ -47,17 +47,17 @@ protected int DetermineEndIndex(string input, string detokenised, int startIndex /// /// phrase /// List of start/end indices of the split chunks - public override async Task> Split(string input) + public override List<(int, int)> Split(string input) { List<(int, int)> indices = new List<(int, int)>(); - List tokens = await search.Tokenize(input); + List tokens = search.Tokenize(input); if (tokens.Count == 0) return indices; int startIndex = 0; for (int i = 0; i < tokens.Count; i += numTokens) { int batchTokens = Math.Min(tokens.Count, i + numTokens) - i; - string detokenised = await search.Detokenize(tokens.GetRange(i, batchTokens)); + string detokenised = search.Detokenize(tokens.GetRange(i, batchTokens)); int endIndex = DetermineEndIndex(input, detokenised, startIndex); indices.Add((startIndex, endIndex)); startIndex = endIndex + 1; diff --git a/Runtime/RAG/WordSplitter.cs b/Runtime/RAG/WordSplitter.cs index 251bdff5..69fbb6ca 100644 --- a/Runtime/RAG/WordSplitter.cs +++ b/Runtime/RAG/WordSplitter.cs @@ -23,7 +23,7 @@ public class WordSplitter : Chunking /// /// phrase /// List of start/end indices of the split chunks - public override async Task> Split(string input) + public override List<(int, int)> Split(string input) { bool IsBoundary(char c) { @@ -31,27 +31,25 @@ bool IsBoundary(char c) } List<(int, int)> indices = new List<(int, int)>(); - await Task.Run(() => { - List<(int, int)> wordIndices = new List<(int, int)>(); - int startIndex = 0; - int endIndex; - for (int i = 0; i < input.Length; i++) + List<(int, int)> wordIndices = new List<(int, int)>(); + int startIndex = 0; + int endIndex; + for (int i = 0; i < input.Length; i++) + { + if (i == input.Length - 1 || IsBoundary(input[i])) { - if (i == input.Length - 1 || IsBoundary(input[i])) - { - while (i < input.Length - 1 && IsBoundary(input[i + 1])) i++; - endIndex = i; - wordIndices.Add((startIndex, endIndex)); - startIndex = i + 1; - } + while (i < input.Length - 1 && IsBoundary(input[i + 1])) i++; + endIndex = i; + wordIndices.Add((startIndex, endIndex)); + startIndex = i + 1; } + } - for (int i = 0; i < wordIndices.Count; i += numWords) - { - int iTo = Math.Min(wordIndices.Count - 1, i + numWords - 1); - indices.Add((wordIndices[i].Item1, wordIndices[iTo].Item2)); - } - }); + for (int i = 0; i < wordIndices.Count; i += numWords) + { + int iTo = Math.Min(wordIndices.Count - 1, i + numWords - 1); + indices.Add((wordIndices[i].Item1, wordIndices[iTo].Item2)); + } return indices; } } diff --git a/Samples~/ChatBot/ChatBot.cs b/Samples~/ChatBot/ChatBot.cs index ac2f893d..4f1027dd 100644 --- a/Samples~/ChatBot/ChatBot.cs +++ b/Samples~/ChatBot/ChatBot.cs @@ -60,7 +60,7 @@ void Start() Bubble AddBubble(string message, bool isPlayerMessage) { - Bubble bubble = new Bubble(chatContainer, isPlayerMessage? playerUI: aiUI, isPlayerMessage? "PlayerBubble": "AIBubble", message); + Bubble bubble = new Bubble(chatContainer, isPlayerMessage ? playerUI : aiUI, isPlayerMessage ? "PlayerBubble" : "AIBubble", message); chatBubbles.Add(bubble); bubble.OnResize(UpdateBubblePositions); return bubble; @@ -68,7 +68,7 @@ Bubble AddBubble(string message, bool isPlayerMessage) void ShowLoadedMessages() { - for (int i=1; i questions = botQuestionAnswers.Keys.ToList(); stopwatch.Start(); - foreach (string question in questions) await rag.Add(question, botName); + foreach (string question in questions) rag.Add(question, botName); stopwatch.Stop(); Debug.Log($"embedded {rag.Count()} phrases in {stopwatch.Elapsed.TotalMilliseconds / 1000f} secs"); } @@ -95,20 +95,20 @@ public async Task CreateEmbeddings() } } - public async Task> Retrieval(string question) + public List Retrieval(string question) { // find similar questions for the current bot using the RAG - (string[] similarQuestions, _) = await rag.Search(question, numRAGResults, currentBotName); + (string[] similarQuestions, _) = rag.Search(question, numRAGResults, currentBotName); // get the answers of the similar questions List similarAnswers = new List(); foreach (string similarQuestion in similarQuestions) similarAnswers.Add(botQuestionAnswers[currentBotName][similarQuestion]); return similarAnswers; } - public async Task ConstructPrompt(string question) + public string ConstructPrompt(string question) { // get similar answers from the RAG - List similarAnswers = await Retrieval(question); + List similarAnswers = Retrieval(question); // create the prompt using the user question and the similar answers string answers = ""; foreach (string similarAnswer in similarAnswers) answers += $"\n- {similarAnswer}"; @@ -118,11 +118,11 @@ public async Task ConstructPrompt(string question) return prompt; } - protected async override void OnInputFieldSubmit(string question) + protected override void OnInputFieldSubmit(string question) { PlayerText.interactable = false; SetAIText("..."); - string prompt = await ConstructPrompt(question); + string prompt = ConstructPrompt(question); _ = llmCharacter.Chat(prompt, SetAIText, AIReplyComplete); } diff --git a/Samples~/RAG/RAGAndLLM_Sample.cs b/Samples~/RAG/RAGAndLLM_Sample.cs index 818324cd..f025a2ed 100644 --- a/Samples~/RAG/RAGAndLLM_Sample.cs +++ b/Samples~/RAG/RAGAndLLM_Sample.cs @@ -8,11 +8,11 @@ public class RAGAndLLMSample : RAGSample public LLMCharacter llmCharacter; public Toggle ParaphraseWithLLM; - protected async override void onInputFieldSubmit(string message) + protected override void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - (string[] similarPhrases, float[] distances) = await rag.Search(message, 1); + (string[] similarPhrases, float[] distances) = rag.Search(message, 1); string similarPhrase = similarPhrases[0]; if (!ParaphraseWithLLM.isOn) { diff --git a/Samples~/RAG/RAG_Sample.cs b/Samples~/RAG/RAG_Sample.cs index 0c1455c7..1f665e46 100644 --- a/Samples~/RAG/RAG_Sample.cs +++ b/Samples~/RAG/RAG_Sample.cs @@ -44,7 +44,7 @@ public async Task CreateEmbeddings() playerText.text += $"Creating Embeddings (only once)...\n"; Stopwatch stopwatch = new Stopwatch(); stopwatch.Start(); - foreach (string phrase in phrases) await rag.Add(phrase); + foreach (string phrase in phrases) rag.Add(phrase); stopwatch.Stop(); Debug.Log($"embedded {rag.Count()} phrases in {stopwatch.Elapsed.TotalMilliseconds / 1000f} secs"); // store the embeddings @@ -56,11 +56,11 @@ public async Task CreateEmbeddings() } } - protected async virtual void onInputFieldSubmit(string message) + protected virtual void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - (string[] similarPhrases, float[] distances) = await rag.Search(message, 1); + (string[] similarPhrases, float[] distances) = rag.Search(message, 1); AIText.text = similarPhrases[0]; } diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 910c3dda..68b0e647 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -1,573 +1,573 @@ -using NUnit.Framework; -using LLMUnity; -using UnityEngine; -using System.Threading.Tasks; -using System.Collections.Generic; -using System; -using System.Collections; -using System.IO; -using System.Linq; -using System.Threading; -using UnityEngine.TestTools; - -namespace LLMUnityTests -{ - public class TestLLMLoraAssignment - { - [Test] - public void TestLoras() - { - GameObject gameObject = new GameObject(); - gameObject.SetActive(false); - LLM llm = gameObject.AddComponent(); - - string lora1 = LLMUnitySetup.GetFullPath("lala"); - string lora2Rel = "test/lala"; - string lora2 = LLMUnitySetup.GetAssetPath(lora2Rel); - LLMUnitySetup.CreateEmptyFile(lora1); - Directory.CreateDirectory(Path.GetDirectoryName(lora2)); - LLMUnitySetup.CreateEmptyFile(lora2); - - llm.AddLora(lora1); - llm.AddLora(lora2); - Assert.AreEqual(llm.lora, lora1 + "," + lora2); - Assert.AreEqual(llm.loraWeights, "1,1"); - - llm.RemoveLoras(); - Assert.AreEqual(llm.lora, ""); - Assert.AreEqual(llm.loraWeights, ""); - - llm.AddLora(lora1, 0.8f); - llm.AddLora(lora2Rel, 0.9f); - Assert.AreEqual(llm.lora, lora1 + "," + lora2); - Assert.AreEqual(llm.loraWeights, "0.8,0.9"); - - llm.SetLoraWeight(lora2Rel, 0.7f); - Assert.AreEqual(llm.lora, lora1 + "," + lora2); - Assert.AreEqual(llm.loraWeights, "0.8,0.7"); - - llm.RemoveLora(lora2Rel); - Assert.AreEqual(llm.lora, lora1); - Assert.AreEqual(llm.loraWeights, "0.8"); - - llm.AddLora(lora2Rel); - llm.SetLoraWeight(lora2Rel, 0.5f); - Assert.AreEqual(llm.lora, lora1 + "," + lora2); - Assert.AreEqual(llm.loraWeights, "0.8,0.5"); - - llm.SetLoraWeight(lora2, 0.1f); - Assert.AreEqual(llm.lora, lora1 + "," + lora2); - Assert.AreEqual(llm.loraWeights, "0.8,0.1"); - - Dictionary loraToWeight = new Dictionary(); - loraToWeight[lora1] = 0; - loraToWeight[lora2] = 0.2f; - llm.SetLoraWeights(loraToWeight); - Assert.AreEqual(llm.lora, lora1 + "," + lora2); - Assert.AreEqual(llm.loraWeights, "0,0.2"); - - File.Delete(lora1); - File.Delete(lora2); - } - } - - public class TestLLM - { - protected string modelNameLLManager; - - protected GameObject gameObject; - protected LLM llm; - protected LLMCharacter llmCharacter; - protected Exception error = null; - protected string prompt; - protected string query; - protected string reply1; - protected string reply2; - protected int tokens1; - protected int tokens2; - protected int port; - - static readonly object _lock = new object(); - - public TestLLM() - { - Task task = Init(); - task.Wait(); - } - - public virtual async Task Init() - { - Monitor.Enter(_lock); - port = new System.Random().Next(10000, 20000); - SetParameters(); - await DownloadModels(); - gameObject = new GameObject(); - gameObject.SetActive(false); - llm = CreateLLM(); - llmCharacter = CreateLLMCharacter(); - gameObject.SetActive(true); - } - - public virtual void SetParameters() - { - prompt = "You are a scientific assistant and provide short and concise info on the user questions"; - query = "Can you tell me some fun fact about ants in one sentence?"; - reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; - reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, which is a fascinating example of teamwork."; - tokens1 = 20; - tokens2 = 9; - } - - protected virtual string GetModelUrl() - { - return "https://huggingface.co/unsloth/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q4_K_M.gguf"; - } - - public virtual async Task DownloadModels() - { - modelNameLLManager = await LLMManager.DownloadModel(GetModelUrl()); - } - - [Test] - public void TestGetLLMManagerAssetRuntime() - { - string path = ""; - string managerPath = LLM.GetLLMManagerAssetRuntime(path); - Assert.AreEqual(managerPath, path); - - string filename = "lala"; - path = LLMUnitySetup.GetFullPath(filename); - LLMUnitySetup.CreateEmptyFile(path); - managerPath = LLM.GetLLMManagerAssetRuntime(path); - Assert.AreEqual(managerPath, path); - File.Delete(path); - - path = modelNameLLManager; - managerPath = LLM.GetLLMManagerAssetRuntime(path); - Assert.AreEqual(managerPath, LLMManager.GetAssetPath(path)); - - path = LLMUnitySetup.GetAssetPath("lala"); - LLMUnitySetup.CreateEmptyFile(path); - managerPath = LLM.GetLLMManagerAssetRuntime(path); - Assert.AreEqual(managerPath, path); - File.Delete(path); - } - - [Test] - public void TestGetLLMManagerAssetEditor() - { - string path = ""; - string managerPath = LLM.GetLLMManagerAssetEditor(path); - Assert.AreEqual(managerPath, path); - - path = modelNameLLManager; - managerPath = LLM.GetLLMManagerAssetEditor(path); - Assert.AreEqual(managerPath, modelNameLLManager); - - path = LLMManager.Get(modelNameLLManager).path; - managerPath = LLM.GetLLMManagerAssetEditor(path); - Assert.AreEqual(managerPath, modelNameLLManager); - - string filename = "lala"; - path = LLMUnitySetup.GetAssetPath(filename); - LLMUnitySetup.CreateEmptyFile(path); - managerPath = LLM.GetLLMManagerAssetEditor(filename); - Assert.AreEqual(managerPath, filename); - managerPath = LLM.GetLLMManagerAssetEditor(path); - Assert.AreEqual(managerPath, filename); - - path = LLMUnitySetup.GetFullPath(filename); - LLMUnitySetup.CreateEmptyFile(path); - managerPath = LLM.GetLLMManagerAssetEditor(path); - Assert.AreEqual(managerPath, path); - File.Delete(path); - } - - public virtual LLM CreateLLM() - { - LLM llm = gameObject.AddComponent(); - llm.SetModel(modelNameLLManager); - llm.parallelPrompts = 1; - llm.port = port; - return llm; - } - - public virtual LLMCharacter CreateLLMCharacter() - { - LLMCharacter llmCharacter = gameObject.AddComponent(); - llmCharacter.llm = llm; - llmCharacter.playerName = "User"; - llmCharacter.AIName = "Assistant"; - llmCharacter.prompt = prompt; - llmCharacter.temperature = 0; - llmCharacter.seed = 0; - llmCharacter.stream = false; - llmCharacter.numPredict = 50; - llmCharacter.port = port; - return llmCharacter; - } - - [UnityTest] - public IEnumerator RunTests() - { - Task task = RunTestsTask(); - while (!task.IsCompleted) yield return null; - if (error != null) - { - Debug.LogError(error.ToString()); - throw (error); - } - OnDestroy(); - } - - public async Task RunTestsTask() - { - error = null; - try - { - await Tests(); - llm.OnDestroy(); - } - catch (Exception e) - { - error = e; - } - } - - public virtual async Task Tests() - { - await llmCharacter.Tokenize("I", TestTokens); - await llmCharacter.Warmup(); - TestArchitecture(); - TestInitParameters(tokens1, 1); - TestWarmup(); - await llmCharacter.Chat(query, (string reply) => TestChat(reply, reply1)); - TestPostChat(3); - llmCharacter.SetPrompt(llmCharacter.prompt); - llmCharacter.AIName = "False response"; - await llmCharacter.Chat(query, (string reply) => TestChat(reply, reply2)); - TestPostChat(3); - await llmCharacter.Chat("bye!"); - TestPostChat(5); - prompt = "How are you?"; - llmCharacter.SetPrompt(prompt); - await llmCharacter.Chat("hi"); - TestInitParameters(tokens2, 3); - List embeddings = await llmCharacter.Embeddings("hi how are you?"); - TestEmbeddings(embeddings); - } - - public virtual void TestArchitecture() - { - Assert.That(llm.architecture.Contains("avx")); - } - - public void TestInitParameters(int nkeep, int chats) - { - Assert.AreEqual(llmCharacter.nKeep, nkeep); - Assert.That(ChatTemplate.GetTemplate(llm.chatTemplate).GetStop(llmCharacter.playerName, llmCharacter.AIName).Length > 0); - Assert.AreEqual(llmCharacter.chat.Count, chats); - } - - public void TestTokens(List tokens) - { - Assert.AreEqual(tokens, new List { 40 }); - } - - public void TestWarmup() - { - Assert.That(llmCharacter.chat.Count == 1); - } - - public void TestChat(string reply, string replyGT) - { - Debug.Log(reply.Trim()); - var words1 = reply.Trim().Split(new[] { ' ', ',', '.', '!', '?' }, StringSplitOptions.RemoveEmptyEntries); - var words2 = replyGT.Trim().Split(new[] { ' ', ',', '.', '!', '?' }, StringSplitOptions.RemoveEmptyEntries); - var commonWords = words1.Intersect(words2).Count(); - var totalWords = Math.Max(words1.Length, words2.Length); - - Assert.That((double)commonWords / totalWords >= 0.7); - } - - public void TestPostChat(int num) - { - Assert.That(llmCharacter.chat.Count == num); - } - - public void TestEmbeddings(List embeddings) - { - Assert.That(embeddings.Count == 1024); - } - - public virtual void OnDestroy() - { - if (Monitor.IsEntered(_lock)) - { - Monitor.Exit(_lock); - } - } - } - - public class TestLLM_LLMManager_Load : TestLLM - { - public override LLM CreateLLM() - { - LLM llm = gameObject.AddComponent(); - string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; - string sourcePath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); - filename = LLMManager.LoadModel(sourcePath); - llm.SetModel(filename); - llm.parallelPrompts = 1; - return llm; - } - } - - public class TestLLM_StreamingAssets_Load : TestLLM - { - string loadPath; - - public override LLM CreateLLM() - { - LLM llm = gameObject.AddComponent(); - string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; - string sourcePath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); - loadPath = LLMUnitySetup.GetAssetPath(filename); - if (!File.Exists(loadPath)) File.Copy(sourcePath, loadPath); - llm.SetModel(loadPath); - llm.parallelPrompts = 1; - return llm; - } - - public override void OnDestroy() - { - base.OnDestroy(); - if (!File.Exists(loadPath)) File.Delete(loadPath); - } - } - - public class TestLLM_SetModel_Warning : TestLLM - { - public override LLM CreateLLM() - { - LLM llm = gameObject.AddComponent(); - string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; - string loadPath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); - llm.SetModel(loadPath); - llm.parallelPrompts = 1; - return llm; - } - } - - public class TestLLM_Lora : TestLLM - { - protected string loraUrl = "https://huggingface.co/phh/Qwen3-0.6B-TLDR-Lora/resolve/main/Qwen3-0.6B-tldr-lora-f16.gguf"; - protected string loraNameLLManager; - protected float loraWeight; - - public override async Task DownloadModels() - { - await base.DownloadModels(); - loraNameLLManager = await LLMManager.DownloadLora(loraUrl); - } - - public override LLM CreateLLM() - { - LLM llm = base.CreateLLM(); - llm.AddLora(loraNameLLManager, loraWeight); - return llm; - } - - public override void SetParameters() - { - prompt = ""; - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer) - { - reply1 = "I am sorry, but I cannot assist with this request. Please try again or ask a different question."; - } - else - { - reply1 = "I am sorry, but I cannot respond to your message as it is empty.Could you please provide a meaningful query or content ?"; - } - reply2 = "False response."; - tokens1 = 5; - tokens2 = 9; - loraWeight = 0.9f; - } - - public override async Task Tests() - { - await base.Tests(); - TestModelPaths(); - TestLoraWeight(); - loraWeight = 0.6f; - llm.SetLoraWeight(loraNameLLManager, loraWeight); - TestLoraWeight(); - } - - public void TestModelPaths() - { - Assert.AreEqual(llm.model, Path.Combine(LLMUnitySetup.modelDownloadPath, Path.GetFileName(GetModelUrl()).Split("?")[0]).Replace('\\', '/')); - Assert.AreEqual(llm.lora, Path.Combine(LLMUnitySetup.modelDownloadPath, Path.GetFileName(loraUrl).Split("?")[0]).Replace('\\', '/')); - } - - public void TestLoraWeight() - { - List loras = llm.ListLoras(); - Assert.AreEqual(loras[0].Scale, loraWeight); - } - } - - public class TestLLM_Remote : TestLLM - { - public override LLM CreateLLM() - { - LLM llm = base.CreateLLM(); - llm.remote = true; - return llm; - } - - public override LLMCharacter CreateLLMCharacter() - { - LLMCharacter llmCharacter = base.CreateLLMCharacter(); - llmCharacter.remote = true; - return llmCharacter; - } - } - - public class TestLLM_Lora_Remote : TestLLM_Lora - { - public override LLM CreateLLM() - { - LLM llm = base.CreateLLM(); - llm.remote = true; - return llm; - } - - public override LLMCharacter CreateLLMCharacter() - { - LLMCharacter llmCharacter = base.CreateLLMCharacter(); - llmCharacter.remote = true; - return llmCharacter; - } - } - - public class TestLLM_Double : TestLLM - { - LLM llm1; - LLMCharacter llmCharacter1; - - public override async Task Init() - { - SetParameters(); - await DownloadModels(); - gameObject = new GameObject(); - gameObject.SetActive(false); - llm = CreateLLM(); - llmCharacter = CreateLLMCharacter(); - llm1 = CreateLLM(); - llmCharacter1 = CreateLLMCharacter(); - gameObject.SetActive(true); - } - } - - public class TestLLMCharacter_Save : TestLLM - { - string saveName = "TestLLMCharacter_Save"; - - public override LLMCharacter CreateLLMCharacter() - { - LLMCharacter llmCharacter = base.CreateLLMCharacter(); - llmCharacter.save = saveName; - llmCharacter.saveCache = true; - foreach (string filename in new string[] - { - llmCharacter.GetJsonSavePath(saveName), - llmCharacter.GetCacheSavePath(saveName) - }) if (File.Exists(filename)) File.Delete(filename); - return llmCharacter; - } - - public override async Task Tests() - { - await base.Tests(); - TestSave(); - } - - public void TestSave() - { - string jsonPath = llmCharacter.GetJsonSavePath(saveName); - string cachePath = llmCharacter.GetCacheSavePath(saveName); - Assert.That(File.Exists(jsonPath)); - Assert.That(File.Exists(cachePath)); - string json = File.ReadAllText(jsonPath); - File.Delete(jsonPath); - File.Delete(cachePath); - - List chatHistory = JsonUtility.FromJson(json).chat; - Assert.AreEqual(chatHistory.Count, 2); - Assert.AreEqual(chatHistory[0].role, llmCharacter.playerName); - Assert.AreEqual(chatHistory[0].content, "hi"); - Assert.AreEqual(chatHistory[1].role, llmCharacter.AIName); - - Assert.AreEqual(llmCharacter.chat.Count, chatHistory.Count + 1); - for (int i = 0; i < chatHistory.Count; i++) - { - Assert.AreEqual(chatHistory[i].role, llmCharacter.chat[i + 1].role); - Assert.AreEqual(chatHistory[i].content, llmCharacter.chat[i + 1].content); - } - } - } - - public class TestLLM_CUDA : TestLLM - { - public override LLM CreateLLM() - { - LLM llm = base.CreateLLM(); - llm.numGPULayers = 10; - return llm; - } - - public override void SetParameters() - { - base.SetParameters(); - reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have a brain."; - if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) - { - reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, which is a fascinating example of teamwork."; - } - } - - public override void TestArchitecture() - { - Assert.That(llm.architecture.Contains("cuda")); - } - } - - public class TestLLM_CUDA_full : TestLLM_CUDA - { - public override void TestArchitecture() - { - Assert.That(llm.architecture.Contains("cuda") && llm.architecture.Contains("full")); - } - } - - public class TestLLM_CUDA_full_attention : TestLLM_CUDA_full - { - public override LLM CreateLLM() - { - LLM llm = base.CreateLLM(); - llm.flashAttention = true; - return llm; - } - - public override void SetParameters() - { - base.SetParameters(); - if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) - { - reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; - } - } - } -} +// using NUnit.Framework; +// using LLMUnity; +// using UnityEngine; +// using System.Threading.Tasks; +// using System.Collections.Generic; +// using System; +// using System.Collections; +// using System.IO; +// using System.Linq; +// using System.Threading; +// using UnityEngine.TestTools; + +// namespace LLMUnityTests +// { +// public class TestLLMLoraAssignment +// { +// [Test] +// public void TestLoras() +// { +// GameObject gameObject = new GameObject(); +// gameObject.SetActive(false); +// LLM llm = gameObject.AddComponent(); + +// string lora1 = LLMUnitySetup.GetFullPath("lala"); +// string lora2Rel = "test/lala"; +// string lora2 = LLMUnitySetup.GetAssetPath(lora2Rel); +// LLMUnitySetup.CreateEmptyFile(lora1); +// Directory.CreateDirectory(Path.GetDirectoryName(lora2)); +// LLMUnitySetup.CreateEmptyFile(lora2); + +// llm.AddLora(lora1); +// llm.AddLora(lora2); +// Assert.AreEqual(llm.lora, lora1 + "," + lora2); +// Assert.AreEqual(llm.loraWeights, "1,1"); + +// llm.RemoveLoras(); +// Assert.AreEqual(llm.lora, ""); +// Assert.AreEqual(llm.loraWeights, ""); + +// llm.AddLora(lora1, 0.8f); +// llm.AddLora(lora2Rel, 0.9f); +// Assert.AreEqual(llm.lora, lora1 + "," + lora2); +// Assert.AreEqual(llm.loraWeights, "0.8,0.9"); + +// llm.SetLoraWeight(lora2Rel, 0.7f); +// Assert.AreEqual(llm.lora, lora1 + "," + lora2); +// Assert.AreEqual(llm.loraWeights, "0.8,0.7"); + +// llm.RemoveLora(lora2Rel); +// Assert.AreEqual(llm.lora, lora1); +// Assert.AreEqual(llm.loraWeights, "0.8"); + +// llm.AddLora(lora2Rel); +// llm.SetLoraWeight(lora2Rel, 0.5f); +// Assert.AreEqual(llm.lora, lora1 + "," + lora2); +// Assert.AreEqual(llm.loraWeights, "0.8,0.5"); + +// llm.SetLoraWeight(lora2, 0.1f); +// Assert.AreEqual(llm.lora, lora1 + "," + lora2); +// Assert.AreEqual(llm.loraWeights, "0.8,0.1"); + +// Dictionary loraToWeight = new Dictionary(); +// loraToWeight[lora1] = 0; +// loraToWeight[lora2] = 0.2f; +// llm.SetLoraWeights(loraToWeight); +// Assert.AreEqual(llm.lora, lora1 + "," + lora2); +// Assert.AreEqual(llm.loraWeights, "0,0.2"); + +// File.Delete(lora1); +// File.Delete(lora2); +// } +// } + +// public class TestLLM +// { +// protected string modelNameLLManager; + +// protected GameObject gameObject; +// protected LLM llm; +// protected LLMCharacter llmCharacter; +// protected Exception error = null; +// protected string prompt; +// protected string query; +// protected string reply1; +// protected string reply2; +// protected int tokens1; +// protected int tokens2; +// protected int port; + +// static readonly object _lock = new object(); + +// public TestLLM() +// { +// Task task = Init(); +// task.Wait(); +// } + +// public virtual async Task Init() +// { +// Monitor.Enter(_lock); +// port = new System.Random().Next(10000, 20000); +// SetParameters(); +// await DownloadModels(); +// gameObject = new GameObject(); +// gameObject.SetActive(false); +// llm = CreateLLM(); +// llmCharacter = CreateLLMCharacter(); +// gameObject.SetActive(true); +// } + +// public virtual void SetParameters() +// { +// prompt = "You are a scientific assistant and provide short and concise info on the user questions"; +// query = "Can you tell me some fun fact about ants in one sentence?"; +// reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; +// reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, which is a fascinating example of teamwork."; +// tokens1 = 20; +// tokens2 = 9; +// } + +// protected virtual string GetModelUrl() +// { +// return "https://huggingface.co/unsloth/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q4_K_M.gguf"; +// } + +// public virtual async Task DownloadModels() +// { +// modelNameLLManager = await LLMManager.DownloadModel(GetModelUrl()); +// } + +// [Test] +// public void TestGetLLMManagerAssetRuntime() +// { +// string path = ""; +// string managerPath = LLM.GetLLMManagerAssetRuntime(path); +// Assert.AreEqual(managerPath, path); + +// string filename = "lala"; +// path = LLMUnitySetup.GetFullPath(filename); +// LLMUnitySetup.CreateEmptyFile(path); +// managerPath = LLM.GetLLMManagerAssetRuntime(path); +// Assert.AreEqual(managerPath, path); +// File.Delete(path); + +// path = modelNameLLManager; +// managerPath = LLM.GetLLMManagerAssetRuntime(path); +// Assert.AreEqual(managerPath, LLMManager.GetAssetPath(path)); + +// path = LLMUnitySetup.GetAssetPath("lala"); +// LLMUnitySetup.CreateEmptyFile(path); +// managerPath = LLM.GetLLMManagerAssetRuntime(path); +// Assert.AreEqual(managerPath, path); +// File.Delete(path); +// } + +// [Test] +// public void TestGetLLMManagerAssetEditor() +// { +// string path = ""; +// string managerPath = LLM.GetLLMManagerAssetEditor(path); +// Assert.AreEqual(managerPath, path); + +// path = modelNameLLManager; +// managerPath = LLM.GetLLMManagerAssetEditor(path); +// Assert.AreEqual(managerPath, modelNameLLManager); + +// path = LLMManager.Get(modelNameLLManager).path; +// managerPath = LLM.GetLLMManagerAssetEditor(path); +// Assert.AreEqual(managerPath, modelNameLLManager); + +// string filename = "lala"; +// path = LLMUnitySetup.GetAssetPath(filename); +// LLMUnitySetup.CreateEmptyFile(path); +// managerPath = LLM.GetLLMManagerAssetEditor(filename); +// Assert.AreEqual(managerPath, filename); +// managerPath = LLM.GetLLMManagerAssetEditor(path); +// Assert.AreEqual(managerPath, filename); + +// path = LLMUnitySetup.GetFullPath(filename); +// LLMUnitySetup.CreateEmptyFile(path); +// managerPath = LLM.GetLLMManagerAssetEditor(path); +// Assert.AreEqual(managerPath, path); +// File.Delete(path); +// } + +// public virtual LLM CreateLLM() +// { +// LLM llm = gameObject.AddComponent(); +// llm.SetModel(modelNameLLManager); +// llm.parallelPrompts = 1; +// llm.port = port; +// return llm; +// } + +// public virtual LLMCharacter CreateLLMCharacter() +// { +// LLMCharacter llmCharacter = gameObject.AddComponent(); +// llmCharacter.llm = llm; +// llmCharacter.userName = "User"; +// llmCharacter.AIName = "Assistant"; +// llmCharacter.prompt = prompt; +// llmCharacter.temperature = 0; +// llmCharacter.seed = 0; +// llmCharacter.stream = false; +// llmCharacter.numPredict = 50; +// llmCharacter.port = port; +// return llmCharacter; +// } + +// [UnityTest] +// public IEnumerator RunTests() +// { +// Task task = RunTestsTask(); +// while (!task.IsCompleted) yield return null; +// if (error != null) +// { +// Debug.LogError(error.ToString()); +// throw (error); +// } +// OnDestroy(); +// } + +// public async Task RunTestsTask() +// { +// error = null; +// try +// { +// await Tests(); +// llm.OnDestroy(); +// } +// catch (Exception e) +// { +// error = e; +// } +// } + +// public virtual async Task Tests() +// { +// await llmCharacter.Tokenize("I", TestTokens); +// await llmCharacter.Warmup(); +// TestArchitecture(); +// TestInitParameters(tokens1, 1); +// TestWarmup(); +// await llmCharacter.Chat(query, (string reply) => TestChat(reply, reply1)); +// TestPostChat(3); +// llmCharacter.SetPrompt(llmCharacter.prompt); +// llmCharacter.AIName = "False response"; +// await llmCharacter.Chat(query, (string reply) => TestChat(reply, reply2)); +// TestPostChat(3); +// await llmCharacter.Chat("bye!"); +// TestPostChat(5); +// prompt = "How are you?"; +// llmCharacter.SetPrompt(prompt); +// await llmCharacter.Chat("hi"); +// TestInitParameters(tokens2, 3); +// List embeddings = await llmCharacter.Embeddings("hi how are you?"); +// TestEmbeddings(embeddings); +// } + +// public virtual void TestArchitecture() +// { +// Assert.That(llm.architecture.Contains("avx")); +// } + +// public void TestInitParameters(int nkeep, int chats) +// { +// Assert.AreEqual(llmCharacter.nKeep, nkeep); +// Assert.That(ChatTemplate.GetTemplate(llm.chatTemplate).GetStop(llmCharacter.userName, llmCharacter.AIName).Length > 0); +// Assert.AreEqual(llmCharacter.chat.Count, chats); +// } + +// public void TestTokens(List tokens) +// { +// Assert.AreEqual(tokens, new List { 40 }); +// } + +// public void TestWarmup() +// { +// Assert.That(llmCharacter.chat.Count == 1); +// } + +// public void TestChat(string reply, string replyGT) +// { +// Debug.Log(reply.Trim()); +// var words1 = reply.Trim().Split(new[] { ' ', ',', '.', '!', '?' }, StringSplitOptions.RemoveEmptyEntries); +// var words2 = replyGT.Trim().Split(new[] { ' ', ',', '.', '!', '?' }, StringSplitOptions.RemoveEmptyEntries); +// var commonWords = words1.Intersect(words2).Count(); +// var totalWords = Math.Max(words1.Length, words2.Length); + +// Assert.That((double)commonWords / totalWords >= 0.7); +// } + +// public void TestPostChat(int num) +// { +// Assert.That(llmCharacter.chat.Count == num); +// } + +// public void TestEmbeddings(List embeddings) +// { +// Assert.That(embeddings.Count == 1024); +// } + +// public virtual void OnDestroy() +// { +// if (Monitor.IsEntered(_lock)) +// { +// Monitor.Exit(_lock); +// } +// } +// } + +// public class TestLLM_LLMManager_Load : TestLLM +// { +// public override LLM CreateLLM() +// { +// LLM llm = gameObject.AddComponent(); +// string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; +// string sourcePath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); +// filename = LLMManager.LoadModel(sourcePath); +// llm.SetModel(filename); +// llm.parallelPrompts = 1; +// return llm; +// } +// } + +// public class TestLLM_StreamingAssets_Load : TestLLM +// { +// string loadPath; + +// public override LLM CreateLLM() +// { +// LLM llm = gameObject.AddComponent(); +// string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; +// string sourcePath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); +// loadPath = LLMUnitySetup.GetAssetPath(filename); +// if (!File.Exists(loadPath)) File.Copy(sourcePath, loadPath); +// llm.SetModel(loadPath); +// llm.parallelPrompts = 1; +// return llm; +// } + +// public override void OnDestroy() +// { +// base.OnDestroy(); +// if (!File.Exists(loadPath)) File.Delete(loadPath); +// } +// } + +// public class TestLLM_SetModel_Warning : TestLLM +// { +// public override LLM CreateLLM() +// { +// LLM llm = gameObject.AddComponent(); +// string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; +// string loadPath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); +// llm.SetModel(loadPath); +// llm.parallelPrompts = 1; +// return llm; +// } +// } + +// public class TestLLM_Lora : TestLLM +// { +// protected string loraUrl = "https://huggingface.co/phh/Qwen3-0.6B-TLDR-Lora/resolve/main/Qwen3-0.6B-tldr-lora-f16.gguf"; +// protected string loraNameLLManager; +// protected float loraWeight; + +// public override async Task DownloadModels() +// { +// await base.DownloadModels(); +// loraNameLLManager = await LLMManager.DownloadLora(loraUrl); +// } + +// public override LLM CreateLLM() +// { +// LLM llm = base.CreateLLM(); +// llm.AddLora(loraNameLLManager, loraWeight); +// return llm; +// } + +// public override void SetParameters() +// { +// prompt = ""; +// if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer) +// { +// reply1 = "I am sorry, but I cannot assist with this request. Please try again or ask a different question."; +// } +// else +// { +// reply1 = "I am sorry, but I cannot respond to your message as it is empty.Could you please provide a meaningful query or content ?"; +// } +// reply2 = "False response."; +// tokens1 = 5; +// tokens2 = 9; +// loraWeight = 0.9f; +// } + +// public override async Task Tests() +// { +// await base.Tests(); +// TestModelPaths(); +// TestLoraWeight(); +// loraWeight = 0.6f; +// llm.SetLoraWeight(loraNameLLManager, loraWeight); +// TestLoraWeight(); +// } + +// public void TestModelPaths() +// { +// Assert.AreEqual(llm.model, Path.Combine(LLMUnitySetup.modelDownloadPath, Path.GetFileName(GetModelUrl()).Split("?")[0]).Replace('\\', '/')); +// Assert.AreEqual(llm.lora, Path.Combine(LLMUnitySetup.modelDownloadPath, Path.GetFileName(loraUrl).Split("?")[0]).Replace('\\', '/')); +// } + +// public void TestLoraWeight() +// { +// List loras = llm.ListLoras(); +// Assert.AreEqual(loras[0].Scale, loraWeight); +// } +// } + +// public class TestLLM_Remote : TestLLM +// { +// public override LLM CreateLLM() +// { +// LLM llm = base.CreateLLM(); +// llm.remote = true; +// return llm; +// } + +// public override LLMCharacter CreateLLMCharacter() +// { +// LLMCharacter llmCharacter = base.CreateLLMCharacter(); +// llmCharacter.remote = true; +// return llmCharacter; +// } +// } + +// public class TestLLM_Lora_Remote : TestLLM_Lora +// { +// public override LLM CreateLLM() +// { +// LLM llm = base.CreateLLM(); +// llm.remote = true; +// return llm; +// } + +// public override LLMCharacter CreateLLMCharacter() +// { +// LLMCharacter llmCharacter = base.CreateLLMCharacter(); +// llmCharacter.remote = true; +// return llmCharacter; +// } +// } + +// public class TestLLM_Double : TestLLM +// { +// LLM llm1; +// LLMCharacter llmCharacter1; + +// public override async Task Init() +// { +// SetParameters(); +// await DownloadModels(); +// gameObject = new GameObject(); +// gameObject.SetActive(false); +// llm = CreateLLM(); +// llmCharacter = CreateLLMCharacter(); +// llm1 = CreateLLM(); +// llmCharacter1 = CreateLLMCharacter(); +// gameObject.SetActive(true); +// } +// } + +// public class TestLLMCharacter_Save : TestLLM +// { +// string saveName = "TestLLMCharacter_Save"; + +// public override LLMCharacter CreateLLMCharacter() +// { +// LLMCharacter llmCharacter = base.CreateLLMCharacter(); +// llmCharacter.save = saveName; +// llmCharacter.saveCache = true; +// foreach (string filename in new string[] +// { +// llmCharacter.GetJsonSavePath(saveName), +// llmCharacter.GetCacheSavePath(saveName) +// }) if (File.Exists(filename)) File.Delete(filename); +// return llmCharacter; +// } + +// public override async Task Tests() +// { +// await base.Tests(); +// TestSave(); +// } + +// public void TestSave() +// { +// string jsonPath = llmCharacter.GetJsonSavePath(saveName); +// string cachePath = llmCharacter.GetCacheSavePath(saveName); +// Assert.That(File.Exists(jsonPath)); +// Assert.That(File.Exists(cachePath)); +// string json = File.ReadAllText(jsonPath); +// File.Delete(jsonPath); +// File.Delete(cachePath); + +// List chatHistory = JsonUtility.FromJson(json).chat; +// Assert.AreEqual(chatHistory.Count, 2); +// Assert.AreEqual(chatHistory[0].role, llmCharacter.userName); +// Assert.AreEqual(chatHistory[0].content, "hi"); +// Assert.AreEqual(chatHistory[1].role, llmCharacter.AIName); + +// Assert.AreEqual(llmCharacter.chat.Count, chatHistory.Count + 1); +// for (int i = 0; i < chatHistory.Count; i++) +// { +// Assert.AreEqual(chatHistory[i].role, llmCharacter.chat[i + 1].role); +// Assert.AreEqual(chatHistory[i].content, llmCharacter.chat[i + 1].content); +// } +// } +// } + +// public class TestLLM_CUDA : TestLLM +// { +// public override LLM CreateLLM() +// { +// LLM llm = base.CreateLLM(); +// llm.numGPULayers = 10; +// return llm; +// } + +// public override void SetParameters() +// { +// base.SetParameters(); +// reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have a brain."; +// if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) +// { +// reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, which is a fascinating example of teamwork."; +// } +// } + +// public override void TestArchitecture() +// { +// Assert.That(llm.architecture.Contains("cuda")); +// } +// } + +// public class TestLLM_CUDA_full : TestLLM_CUDA +// { +// public override void TestArchitecture() +// { +// Assert.That(llm.architecture.Contains("cuda") && llm.architecture.Contains("full")); +// } +// } + +// public class TestLLM_CUDA_full_attention : TestLLM_CUDA_full +// { +// public override LLM CreateLLM() +// { +// LLM llm = base.CreateLLM(); +// llm.flashAttention = true; +// return llm; +// } + +// public override void SetParameters() +// { +// base.SetParameters(); +// if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) +// { +// reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; +// } +// } +// } +// } diff --git a/Tests/Runtime/TestLLMChatTemplates.cs b/Tests/Runtime/TestLLMChatTemplates.cs index bafa6cb2..10969196 100644 --- a/Tests/Runtime/TestLLMChatTemplates.cs +++ b/Tests/Runtime/TestLLMChatTemplates.cs @@ -1,200 +1,200 @@ -using LLMUnity; -using System.Collections.Generic; -using NUnit.Framework.Internal; -using NUnit.Framework; - -namespace LLMUnityTests -{ - public class TestChatTemplate - { - List messages = new List() - { - new ChatMessage {role = "system", content = "you are a bot"}, - new ChatMessage {role = "user", content = "Hello, how are you?"}, - new ChatMessage {role = "assistant", content = "I'm doing great. How can I help you today?"}, - new ChatMessage {role = "user", content = "I'd like to show off how chat templating works!"}, - new ChatMessage {role = "assistant", content = "chat template is awesome"}, - new ChatMessage {role = "user", content = "do you think so?"}, - }; - - [Test] - public void TestChatML() - { - Assert.AreEqual( - new ChatMLTemplate().ComputePrompt(messages, "user", "assistant"), - "<|im_start|>system\nyou are a bot<|im_end|>\n<|im_start|>user\nHello, how are you?<|im_end|>\n<|im_start|>assistant\nI'm doing great. How can I help you today?<|im_end|>\n<|im_start|>user\nI'd like to show off how chat templating works!<|im_end|>\n<|im_start|>assistant\nchat template is awesome<|im_end|>\n<|im_start|>user\ndo you think so?<|im_end|>\n<|im_start|>assistant\n" - ); - } - - [Test] - public void TestGemma() - { - Assert.AreEqual( - new GemmaTemplate().ComputePrompt(messages, "user", "assistant"), - "user\nyou are a bot\n\nHello, how are you?\nmodel\nI'm doing great. How can I help you today?\nuser\nI'd like to show off how chat templating works!\nmodel\nchat template is awesome\nuser\ndo you think so?\nmodel\n" - ); - } - - [Test] - public void TestMistralInstruct() - { - Assert.AreEqual( - new MistralInstructTemplate().ComputePrompt(messages, "user", "assistant"), - "[INST] you are a bot\n\nHello, how are you? [/INST]I'm doing great. How can I help you today?[INST] I'd like to show off how chat templating works! [/INST]chat template is awesome[INST] do you think so? [/INST]" - ); - } - - [Test] - public void TestMistralChat() - { - Assert.AreEqual( - new MistralChatTemplate().ComputePrompt(messages, "user", "assistant"), - "[INST] you are a bot\n\n### user: Hello, how are you? [/INST]### assistant: I'm doing great. How can I help you today?[INST] ### user: I'd like to show off how chat templating works! [/INST]### assistant: chat template is awesome[INST] ### user: do you think so? [/INST]### assistant:" - ); - } - - [Test] - public void TestLLama2() - { - Assert.AreEqual( - new LLama2Template().ComputePrompt(messages, "user", "assistant"), - "[INST] <>\nyou are a bot\n<> Hello, how are you? [/INST]I'm doing great. How can I help you today? [INST] I'd like to show off how chat templating works! [/INST]chat template is awesome [INST] do you think so? [/INST]" - ); - } - - [Test] - public void TestLLama2Chat() - { - Assert.AreEqual( - new LLama2ChatTemplate().ComputePrompt(messages, "user", "assistant"), - "[INST] <>\nyou are a bot\n<> ### user: Hello, how are you? [/INST]### assistant: I'm doing great. How can I help you today? [INST] ### user: I'd like to show off how chat templating works! [/INST]### assistant: chat template is awesome [INST] ### user: do you think so? [/INST]### assistant:" - ); - } - - [Test] - public void TestLLama3Chat() - { - Assert.AreEqual( - new LLama3ChatTemplate().ComputePrompt(messages, "user", "assistant"), - "<|start_header_id|>system<|end_header_id|>\n\nyou are a bot<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nHello, how are you?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nI'm doing great. How can I help you today?<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nI'd like to show off how chat templating works!<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nchat template is awesome<|eot_id|><|start_header_id|>user<|end_header_id|>\n\ndo you think so?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n" - ); - } - - [Test] - public void TestAlpaca() - { - Assert.AreEqual( - new AlpacaTemplate().ComputePrompt(messages, "user", "assistant"), - "you are a bot\n\n### user: Hello, how are you?\n### assistant: I'm doing great. How can I help you today?\n### user: I'd like to show off how chat templating works!\n### assistant: chat template is awesome\n### user: do you think so?\n### assistant:" - ); - } - - [Test] - public void TestVicuna() - { - Assert.AreEqual( - new VicunaTemplate().ComputePrompt(messages, "user", "assistant"), - "you are a bot\n\nuser: Hello, how are you?\nassistant: I'm doing great. How can I help you today?\nuser: I'd like to show off how chat templating works!\nassistant: chat template is awesome\nuser: do you think so?\nassistant:" - ); - } - - [Test] - public void TestPhi2() - { - Assert.AreEqual( - new Phi2Template().ComputePrompt(messages, "user", "assistant"), - "you are a bot\n\nuser: Hello, how are you?\nassistant: I'm doing great. How can I help you today?\nuser: I'd like to show off how chat templating works!\nassistant: chat template is awesome\nuser: do you think so?\nassistant:" - ); - } - - [Test] - public void TestPhi3() - { - Assert.AreEqual( - new Phi3Template().ComputePrompt(messages, "user", "assistant"), - "<|user|>\nyou are a bot\n\nHello, how are you?<|end|>\n<|assistant|>\nI'm doing great. How can I help you today?<|end|>\n<|user|>\nI'd like to show off how chat templating works!<|end|>\n<|assistant|>\nchat template is awesome<|end|>\n<|user|>\ndo you think so?<|end|>\n<|assistant|>\n" - ); - } - - [Test] - public void TestPhi3_5() - { - Assert.AreEqual( - new Phi3_5Template().ComputePrompt(messages, "user", "assistant"), - "<|system|>\nyou are a bot<|end|>\n<|user|>\nHello, how are you?<|end|>\n<|assistant|>\nI'm doing great. How can I help you today?<|end|>\n<|user|>\nI'd like to show off how chat templating works!<|end|>\n<|assistant|>\nchat template is awesome<|end|>\n<|user|>\ndo you think so?<|end|>\n<|assistant|>\n" - ); - } - - [Test] - public void TestPhi4Mini() - { - Assert.AreEqual( - new Phi4MiniTemplate().ComputePrompt(messages, "user", "assistant"), - "<|system|>you are a bot<|end|><|user|>Hello, how are you?<|end|><|assistant|>I'm doing great. How can I help you today?<|end|><|user|>I'd like to show off how chat templating works!<|end|><|assistant|>chat template is awesome<|end|><|user|>do you think so?<|end|><|assistant|>" - ); - } - - [Test] - public void TestPhi4() - { - Assert.AreEqual( - new Phi4Template().ComputePrompt(messages, "user", "assistant"), - "<|im_start|>system<|im_sep|>you are a bot<|im_end|><|im_start|>user<|im_sep|>Hello, how are you?<|im_end|><|im_start|>assistant<|im_sep|>I'm doing great. How can I help you today?<|im_end|><|im_start|>user<|im_sep|>I'd like to show off how chat templating works!<|im_end|><|im_start|>assistant<|im_sep|>chat template is awesome<|im_end|><|im_start|>user<|im_sep|>do you think so?<|im_end|><|im_start|>assistant<|im_sep|>" - ); - } - - [Test] - public void TestZephyr() - { - Assert.AreEqual( - new ZephyrTemplate().ComputePrompt(messages, "user", "assistant"), - "<|system|>\nyou are a bot\n<|user|>\nHello, how are you?\n<|assistant|>\nI'm doing great. How can I help you today?\n<|user|>\nI'd like to show off how chat templating works!\n<|assistant|>\nchat template is awesome\n<|user|>\ndo you think so?\n<|assistant|>\n" - ); - } - - [Test] - public void TestDeepSeekV2() - { - Assert.AreEqual( - new DeepSeekV2Template().ComputePrompt(messages, "user", "assistant"), - "<｜begin▁of▁sentence｜>you are a bot\n\nUser: Hello, how are you?\n\nAssistant: I'm doing great. How can I help you today?<｜end▁of▁sentence｜>User: I'd like to show off how chat templating works!\n\nAssistant: chat template is awesome<｜end▁of▁sentence｜>User: do you think so?\n\nAssistant:" - ); - } - - [Test] - public void TestDeepSeekV3() - { - Assert.AreEqual( - new DeepSeekV3Template().ComputePrompt(messages, "user", "assistant"), - "<｜begin▁of▁sentence｜>you are a bot\n\n<｜User｜>Hello, how are you?<｜Assistant｜>I'm doing great. How can I help you today?<｜end▁of▁sentence｜><｜User｜>I'd like to show off how chat templating works!<｜Assistant｜>chat template is awesome<｜end▁of▁sentence｜><｜User｜>do you think so?<｜Assistant｜>" - ); - } - - [Test] - public void TestDeepSeekR1() - { - Assert.AreEqual( - new DeepSeekR1Template().ComputePrompt(messages, "user", "assistant"), - "<｜begin▁of▁sentence｜>you are a bot\n\n<｜User｜>Hello, how are you?<｜Assistant｜>I'm doing great. How can I help you today?<｜end▁of▁sentence｜><｜User｜>I'd like to show off how chat templating works!<｜Assistant｜>chat template is awesome<｜end▁of▁sentence｜><｜User｜>do you think so?<｜Assistant｜>\n\n\n\n" - ); - } - - [Test] - public void TestQwen3() - { - Assert.AreEqual( - new Qwen3Template().ComputePrompt(messages, "user", "assistant"), - "<|im_start|>system\nyou are a bot<|im_end|>\n<|im_start|>user\nHello, how are you?<|im_end|>\n<|im_start|>assistant\nI'm doing great. How can I help you today?<|im_end|>\n<|im_start|>user\nI'd like to show off how chat templating works!<|im_end|>\n<|im_start|>assistant\nchat template is awesome<|im_end|>\n<|im_start|>user\ndo you think so?<|im_end|>\n<|im_start|>assistant\n\n\n\n\n" - ); - } - - [Test] - public void TestBitNet() - { - Assert.AreEqual( - new BitNetTemplate().ComputePrompt(messages, "user", "assistant"), - "System: you are a bot<|eot_id|>User: Hello, how are you?<|eot_id|>Assistant: I'm doing great. How can I help you today?<|eot_id|>User: I'd like to show off how chat templating works!<|eot_id|>Assistant: chat template is awesome<|eot_id|>User: do you think so?<|eot_id|>Assistant: " - ); - } - } -} +// using LLMUnity; +// using System.Collections.Generic; +// using NUnit.Framework.Internal; +// using NUnit.Framework; + +// namespace LLMUnityTests +// { +// public class TestChatTemplate +// { +// List messages = new List() +// { +// new ChatMessage {role = "system", content = "you are a bot"}, +// new ChatMessage {role = "user", content = "Hello, how are you?"}, +// new ChatMessage {role = "assistant", content = "I'm doing great. How can I help you today?"}, +// new ChatMessage {role = "user", content = "I'd like to show off how chat templating works!"}, +// new ChatMessage {role = "assistant", content = "chat template is awesome"}, +// new ChatMessage {role = "user", content = "do you think so?"}, +// }; + +// [Test] +// public void TestChatML() +// { +// Assert.AreEqual( +// new ChatMLTemplate().ComputePrompt(messages, "user", "assistant"), +// "<|im_start|>system\nyou are a bot<|im_end|>\n<|im_start|>user\nHello, how are you?<|im_end|>\n<|im_start|>assistant\nI'm doing great. How can I help you today?<|im_end|>\n<|im_start|>user\nI'd like to show off how chat templating works!<|im_end|>\n<|im_start|>assistant\nchat template is awesome<|im_end|>\n<|im_start|>user\ndo you think so?<|im_end|>\n<|im_start|>assistant\n" +// ); +// } + +// [Test] +// public void TestGemma() +// { +// Assert.AreEqual( +// new GemmaTemplate().ComputePrompt(messages, "user", "assistant"), +// "user\nyou are a bot\n\nHello, how are you?\nmodel\nI'm doing great. How can I help you today?\nuser\nI'd like to show off how chat templating works!\nmodel\nchat template is awesome\nuser\ndo you think so?\nmodel\n" +// ); +// } + +// [Test] +// public void TestMistralInstruct() +// { +// Assert.AreEqual( +// new MistralInstructTemplate().ComputePrompt(messages, "user", "assistant"), +// "[INST] you are a bot\n\nHello, how are you? [/INST]I'm doing great. How can I help you today?[INST] I'd like to show off how chat templating works! [/INST]chat template is awesome[INST] do you think so? [/INST]" +// ); +// } + +// [Test] +// public void TestMistralChat() +// { +// Assert.AreEqual( +// new MistralChatTemplate().ComputePrompt(messages, "user", "assistant"), +// "[INST] you are a bot\n\n### user: Hello, how are you? [/INST]### assistant: I'm doing great. How can I help you today?[INST] ### user: I'd like to show off how chat templating works! [/INST]### assistant: chat template is awesome[INST] ### user: do you think so? [/INST]### assistant:" +// ); +// } + +// [Test] +// public void TestLLama2() +// { +// Assert.AreEqual( +// new LLama2Template().ComputePrompt(messages, "user", "assistant"), +// "[INST] <>\nyou are a bot\n<> Hello, how are you? [/INST]I'm doing great. How can I help you today? [INST] I'd like to show off how chat templating works! [/INST]chat template is awesome [INST] do you think so? [/INST]" +// ); +// } + +// [Test] +// public void TestLLama2Chat() +// { +// Assert.AreEqual( +// new LLama2ChatTemplate().ComputePrompt(messages, "user", "assistant"), +// "[INST] <>\nyou are a bot\n<> ### user: Hello, how are you? [/INST]### assistant: I'm doing great. How can I help you today? [INST] ### user: I'd like to show off how chat templating works! [/INST]### assistant: chat template is awesome [INST] ### user: do you think so? [/INST]### assistant:" +// ); +// } + +// [Test] +// public void TestLLama3Chat() +// { +// Assert.AreEqual( +// new LLama3ChatTemplate().ComputePrompt(messages, "user", "assistant"), +// "<|start_header_id|>system<|end_header_id|>\n\nyou are a bot<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nHello, how are you?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nI'm doing great. How can I help you today?<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nI'd like to show off how chat templating works!<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nchat template is awesome<|eot_id|><|start_header_id|>user<|end_header_id|>\n\ndo you think so?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n" +// ); +// } + +// [Test] +// public void TestAlpaca() +// { +// Assert.AreEqual( +// new AlpacaTemplate().ComputePrompt(messages, "user", "assistant"), +// "you are a bot\n\n### user: Hello, how are you?\n### assistant: I'm doing great. How can I help you today?\n### user: I'd like to show off how chat templating works!\n### assistant: chat template is awesome\n### user: do you think so?\n### assistant:" +// ); +// } + +// [Test] +// public void TestVicuna() +// { +// Assert.AreEqual( +// new VicunaTemplate().ComputePrompt(messages, "user", "assistant"), +// "you are a bot\n\nuser: Hello, how are you?\nassistant: I'm doing great. How can I help you today?\nuser: I'd like to show off how chat templating works!\nassistant: chat template is awesome\nuser: do you think so?\nassistant:" +// ); +// } + +// [Test] +// public void TestPhi2() +// { +// Assert.AreEqual( +// new Phi2Template().ComputePrompt(messages, "user", "assistant"), +// "you are a bot\n\nuser: Hello, how are you?\nassistant: I'm doing great. How can I help you today?\nuser: I'd like to show off how chat templating works!\nassistant: chat template is awesome\nuser: do you think so?\nassistant:" +// ); +// } + +// [Test] +// public void TestPhi3() +// { +// Assert.AreEqual( +// new Phi3Template().ComputePrompt(messages, "user", "assistant"), +// "<|user|>\nyou are a bot\n\nHello, how are you?<|end|>\n<|assistant|>\nI'm doing great. How can I help you today?<|end|>\n<|user|>\nI'd like to show off how chat templating works!<|end|>\n<|assistant|>\nchat template is awesome<|end|>\n<|user|>\ndo you think so?<|end|>\n<|assistant|>\n" +// ); +// } + +// [Test] +// public void TestPhi3_5() +// { +// Assert.AreEqual( +// new Phi3_5Template().ComputePrompt(messages, "user", "assistant"), +// "<|system|>\nyou are a bot<|end|>\n<|user|>\nHello, how are you?<|end|>\n<|assistant|>\nI'm doing great. How can I help you today?<|end|>\n<|user|>\nI'd like to show off how chat templating works!<|end|>\n<|assistant|>\nchat template is awesome<|end|>\n<|user|>\ndo you think so?<|end|>\n<|assistant|>\n" +// ); +// } + +// [Test] +// public void TestPhi4Mini() +// { +// Assert.AreEqual( +// new Phi4MiniTemplate().ComputePrompt(messages, "user", "assistant"), +// "<|system|>you are a bot<|end|><|user|>Hello, how are you?<|end|><|assistant|>I'm doing great. How can I help you today?<|end|><|user|>I'd like to show off how chat templating works!<|end|><|assistant|>chat template is awesome<|end|><|user|>do you think so?<|end|><|assistant|>" +// ); +// } + +// [Test] +// public void TestPhi4() +// { +// Assert.AreEqual( +// new Phi4Template().ComputePrompt(messages, "user", "assistant"), +// "<|im_start|>system<|im_sep|>you are a bot<|im_end|><|im_start|>user<|im_sep|>Hello, how are you?<|im_end|><|im_start|>assistant<|im_sep|>I'm doing great. How can I help you today?<|im_end|><|im_start|>user<|im_sep|>I'd like to show off how chat templating works!<|im_end|><|im_start|>assistant<|im_sep|>chat template is awesome<|im_end|><|im_start|>user<|im_sep|>do you think so?<|im_end|><|im_start|>assistant<|im_sep|>" +// ); +// } + +// [Test] +// public void TestZephyr() +// { +// Assert.AreEqual( +// new ZephyrTemplate().ComputePrompt(messages, "user", "assistant"), +// "<|system|>\nyou are a bot\n<|user|>\nHello, how are you?\n<|assistant|>\nI'm doing great. How can I help you today?\n<|user|>\nI'd like to show off how chat templating works!\n<|assistant|>\nchat template is awesome\n<|user|>\ndo you think so?\n<|assistant|>\n" +// ); +// } + +// [Test] +// public void TestDeepSeekV2() +// { +// Assert.AreEqual( +// new DeepSeekV2Template().ComputePrompt(messages, "user", "assistant"), +// "<｜begin▁of▁sentence｜>you are a bot\n\nUser: Hello, how are you?\n\nAssistant: I'm doing great. How can I help you today?<｜end▁of▁sentence｜>User: I'd like to show off how chat templating works!\n\nAssistant: chat template is awesome<｜end▁of▁sentence｜>User: do you think so?\n\nAssistant:" +// ); +// } + +// [Test] +// public void TestDeepSeekV3() +// { +// Assert.AreEqual( +// new DeepSeekV3Template().ComputePrompt(messages, "user", "assistant"), +// "<｜begin▁of▁sentence｜>you are a bot\n\n<｜User｜>Hello, how are you?<｜Assistant｜>I'm doing great. How can I help you today?<｜end▁of▁sentence｜><｜User｜>I'd like to show off how chat templating works!<｜Assistant｜>chat template is awesome<｜end▁of▁sentence｜><｜User｜>do you think so?<｜Assistant｜>" +// ); +// } + +// [Test] +// public void TestDeepSeekR1() +// { +// Assert.AreEqual( +// new DeepSeekR1Template().ComputePrompt(messages, "user", "assistant"), +// "<｜begin▁of▁sentence｜>you are a bot\n\n<｜User｜>Hello, how are you?<｜Assistant｜>I'm doing great. How can I help you today?<｜end▁of▁sentence｜><｜User｜>I'd like to show off how chat templating works!<｜Assistant｜>chat template is awesome<｜end▁of▁sentence｜><｜User｜>do you think so?<｜Assistant｜>\n\n\n\n" +// ); +// } + +// [Test] +// public void TestQwen3() +// { +// Assert.AreEqual( +// new Qwen3Template().ComputePrompt(messages, "user", "assistant"), +// "<|im_start|>system\nyou are a bot<|im_end|>\n<|im_start|>user\nHello, how are you?<|im_end|>\n<|im_start|>assistant\nI'm doing great. How can I help you today?<|im_end|>\n<|im_start|>user\nI'd like to show off how chat templating works!<|im_end|>\n<|im_start|>assistant\nchat template is awesome<|im_end|>\n<|im_start|>user\ndo you think so?<|im_end|>\n<|im_start|>assistant\n\n\n\n\n" +// ); +// } + +// [Test] +// public void TestBitNet() +// { +// Assert.AreEqual( +// new BitNetTemplate().ComputePrompt(messages, "user", "assistant"), +// "System: you are a bot<|eot_id|>User: Hello, how are you?<|eot_id|>Assistant: I'm doing great. How can I help you today?<|eot_id|>User: I'd like to show off how chat templating works!<|eot_id|>Assistant: chat template is awesome<|eot_id|>User: do you think so?<|eot_id|>Assistant: " +// ); +// } +// } +// } diff --git a/Tests/Runtime/TestSearch.cs b/Tests/Runtime/TestSearch.cs index 5a0872b3..beb4acd7 100644 --- a/Tests/Runtime/TestSearch.cs +++ b/Tests/Runtime/TestSearch.cs @@ -67,40 +67,30 @@ public static bool ApproxEqual(float x1, float x2) } [UnityTest] - public virtual IEnumerator RunTests() - { - Task task = RunTestsTask(); - while (!task.IsCompleted) yield return null; - if (error != null) - { - Debug.LogError(error.ToString()); - throw (error); - } - } - - public virtual async Task RunTestsTask() + public virtual void RunTests() { error = null; try { - await Tests(); + Tests(); llm.OnDestroy(); } - catch (Exception e) + catch (Exception e) { - error = e; + Debug.LogError(e.ToString()); + throw (e); } } - public virtual async Task Tests() + public virtual void Tests() { - await TestAdd(); - await TestSearch(); - await TestIncrementalSearch(); - await TestSaveLoad(); + TestAdd(); + TestSearch(); + TestIncrementalSearch(); + TestSaveLoad(); } - public virtual async Task TestAdd() + public virtual void TestAdd() { void CheckCount(int[] nums) { @@ -114,32 +104,32 @@ void CheckCount(int[] nums) } int key, num; - key = await search.Add(weather); + key = search.Add(weather); Assert.That(key == 0); Assert.That(search.Get(key) == weather); Assert.That(search.Count() == 1); search.Remove(key); Assert.That(search.Count() == 0); - key = await search.Add(weather); + key = search.Add(weather); Assert.That(key == 1); - key = await search.Add(raining); + key = search.Add(raining); Assert.That(key == 2); - key = await search.Add(sometext); + key = search.Add(sometext); Assert.That(key == 3); Assert.That(search.Count() == 3); search.Clear(); Assert.That(search.Count() == 0); - key = await search.Add(weather, "0"); + key = search.Add(weather, "0"); Assert.That(key == 0); - key = await search.Add(raining, "0"); + key = search.Add(raining, "0"); Assert.That(key == 1); - key = await search.Add(weather, "1"); + key = search.Add(weather, "1"); Assert.That(key == 2); - key = await search.Add(sometext, "1"); + key = search.Add(sometext, "1"); Assert.That(key == 3); - key = await search.Add(sometext, "2"); + key = search.Add(sometext, "2"); Assert.That(key == 4); CheckCount(new int[] {2, 2, 1}); num = search.Remove(weather, "0"); @@ -165,20 +155,20 @@ void CheckCount(int[] nums) Assert.That(search.Count() == 0); } - public virtual async Task TestSearch() + public virtual void TestSearch() { string[] results; float[] distances; - (results, distances) = await search.Search(weather, 1); + (results, distances) = search.Search(weather, 1); Assert.That(results.Length == 0); Assert.That(distances.Length == 0); - await search.Add(weather); - await search.Add(raining); - await search.Add(sometext); + search.Add(weather); + search.Add(raining); + search.Add(sometext); - (results, distances) = await search.Search(weather, 2); + (results, distances) = search.Search(weather, 2); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], weather); @@ -186,7 +176,7 @@ public virtual async Task TestSearch() Assert.That(ApproxEqual(distances[0], 0)); Assert.That(ApproxEqual(distances[1], weatherRainingDiff)); - (results, distances) = await search.Search(raining, 2); + (results, distances) = search.Search(raining, 2); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], raining); @@ -196,12 +186,12 @@ public virtual async Task TestSearch() search.Clear(); - await search.Add(weather, "0"); - await search.Add(raining, "1"); - await search.Add(sometext, "0"); - await search.Add(sometext, "1"); + search.Add(weather, "0"); + search.Add(raining, "1"); + search.Add(sometext, "0"); + search.Add(sometext, "1"); - (results, distances) = await search.Search(weather, 2, "0"); + (results, distances) = search.Search(weather, 2, "0"); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], weather); @@ -209,7 +199,7 @@ public virtual async Task TestSearch() Assert.That(ApproxEqual(distances[0], 0)); Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); - (results, distances) = await search.Search(weather, 2, "0"); + (results, distances) = search.Search(weather, 2, "0"); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], weather); @@ -217,14 +207,14 @@ public virtual async Task TestSearch() Assert.That(ApproxEqual(distances[0], 0)); Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); - (results, distances) = await search.Search(weather, 2, "1"); + (results, distances) = search.Search(weather, 2, "1"); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], raining); Assert.AreEqual(results[1], sometext); Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); - (results, distances) = await search.Search(weather, 3, "1"); + (results, distances) = search.Search(weather, 3, "1"); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], raining); @@ -233,13 +223,13 @@ public virtual async Task TestSearch() search.Clear(); } - public async Task TestIncrementalSearch() + public void TestIncrementalSearch() { string[] results; float[] distances; bool completed; - int searchKey = await search.IncrementalSearch(weather); + int searchKey = search.IncrementalSearch(weather); (results, distances, completed) = search.IncrementalFetch(searchKey, 1); Assert.That(searchKey == 0); Assert.That(results.Length == 0); @@ -247,11 +237,11 @@ public async Task TestIncrementalSearch() Assert.That(completed); search.Clear(); - await search.Add(weather); - await search.Add(raining); - await search.Add(sometext); + search.Add(weather); + search.Add(raining); + search.Add(sometext); - searchKey = await search.IncrementalSearch(weather); + searchKey = search.IncrementalSearch(weather); (results, distances, completed) = search.IncrementalFetch(searchKey, 1); Assert.That(searchKey == 0); Assert.That(results.Length == 1); @@ -269,7 +259,7 @@ public async Task TestIncrementalSearch() Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); Assert.That(completed); - searchKey = await search.IncrementalSearch(weather); + searchKey = search.IncrementalSearch(weather); (results, distances, completed) = search.IncrementalFetch(searchKey, 2); Assert.That(searchKey == 1); Assert.That(results.Length == 2); @@ -283,12 +273,12 @@ public async Task TestIncrementalSearch() search.IncrementalSearchComplete(searchKey); search.Clear(); - await search.Add(weather, "0"); - await search.Add(raining, "1"); - await search.Add(sometext, "0"); - await search.Add(sometext, "1"); + search.Add(weather, "0"); + search.Add(raining, "1"); + search.Add(sometext, "0"); + search.Add(sometext, "1"); - searchKey = await search.IncrementalSearch(weather, "0"); + searchKey = search.IncrementalSearch(weather, "0"); (results, distances, completed) = search.IncrementalFetch(searchKey, 2); Assert.That(searchKey == 0); Assert.AreEqual(results.Length, 2); @@ -299,7 +289,7 @@ public async Task TestIncrementalSearch() Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); Assert.That(completed); - searchKey = await search.IncrementalSearch(weather, "0"); + searchKey = search.IncrementalSearch(weather, "0"); (results, distances, completed) = search.IncrementalFetch(searchKey, 2); Assert.That(searchKey == 1); Assert.AreEqual(results.Length, 2); @@ -310,7 +300,7 @@ public async Task TestIncrementalSearch() Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); Assert.That(completed); - searchKey = await search.IncrementalSearch(weather, "1"); + searchKey = search.IncrementalSearch(weather, "1"); (results, distances, completed) = search.IncrementalFetch(searchKey, 1); Assert.That(searchKey == 2); Assert.AreEqual(results.Length, 1); @@ -325,7 +315,7 @@ public async Task TestIncrementalSearch() Assert.That(ApproxEqual(distances[0], weatherSometextDiff)); Assert.That(completed); - searchKey = await search.IncrementalSearch(weather, "1"); + searchKey = search.IncrementalSearch(weather, "1"); (results, distances, completed) = search.IncrementalFetch(searchKey, 3); Assert.That(searchKey == 3); Assert.AreEqual(results.Length, 2); @@ -337,19 +327,19 @@ public async Task TestIncrementalSearch() search.Clear(); } - public virtual async Task TestSaveLoad() + public virtual void TestSaveLoad() { string path = Path.Combine(Path.GetTempPath(), Path.GetRandomFileName()); string[] results; float[] distances; - await search.Add(weather); - await search.Add(raining); - await search.Add(sometext); + search.Add(weather); + search.Add(raining); + search.Add(sometext); search.Save(path); search.Clear(); - await search.Load(path); + search.Load(path); File.Delete(path); Assert.That(search.Count() == 3); @@ -357,7 +347,7 @@ public virtual async Task TestSaveLoad() Assert.That(search.Get(1) == raining); Assert.That(search.Get(2) == sometext); - (results, distances) = await search.Search(raining, 2); + (results, distances) = search.Search(raining, 2); Assert.AreEqual(results[0], raining); Assert.AreEqual(results[1], weather); Assert.That(ApproxEqual(distances[0], 0)); @@ -365,14 +355,14 @@ public virtual async Task TestSaveLoad() search.Clear(); - await search.Add(weather, "0"); - await search.Add(raining, "1"); - await search.Add(sometext, "0"); - await search.Add(sometext, "1"); + search.Add(weather, "0"); + search.Add(raining, "1"); + search.Add(sometext, "0"); + search.Add(sometext, "1"); search.Save(path); search.Clear(); - await search.Load(path); + search.Load(path); File.Delete(path); Assert.That(search.Count() == 4); @@ -383,7 +373,7 @@ public virtual async Task TestSaveLoad() Assert.That(search.Get(2) == sometext); Assert.That(search.Get(3) == sometext); - (results, distances) = await search.Search(raining, 2, "0"); + (results, distances) = search.Search(raining, 2, "0"); Assert.AreEqual(results[0], weather); Assert.AreEqual(results[1], sometext); Assert.That(ApproxEqual(distances[0], weatherRainingDiff)); @@ -401,34 +391,34 @@ public override T CreateSearch() return search; } - public override async Task Tests() + public override void Tests() { - await base.Tests(); - await TestEncode(); - await TestSimilarity(); - await TestSearchFromList(); + base.Tests(); + TestEncode(); + TestSimilarity(); + TestSearchFromList(); } - public async Task TestEncode() + public void TestEncode() { - float[] encoding = await search.Encode(weather); + float[] encoding = search.Encode(weather); Assert.That(ApproxEqual(encoding[0], -0.02910374f)); Assert.That(ApproxEqual(encoding[383], 0.01764517f)); } - public async Task TestSimilarity() + public void TestSimilarity() { - float[] sentence1 = await search.Encode(weather); - float[] sentence2 = await search.Encode(raining); + float[] sentence1 = search.Encode(weather); + float[] sentence2 = search.Encode(raining); float similarity = SimpleSearch.DotProduct(sentence1, sentence2); float distance = SimpleSearch.InverseDotProduct(sentence1, sentence2); Assert.That(ApproxEqual(similarity, 1 - weatherRainingDiff)); Assert.That(ApproxEqual(distance, weatherRainingDiff)); } - public async Task TestSearchFromList() + public void TestSearchFromList() { - (string[] results, float[] distances) = await search.SearchFromList(weather, new string[] {sometext, raining}); + (string[] results, float[] distances) = search.SearchFromList(weather, new string[] {sometext, raining}); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], raining); @@ -491,18 +481,18 @@ public static (string, List<(int, int)>) GenerateText(int length) return (new string(generatedText), indices); } - public override async Task Tests() + public override void Tests() { - await base.Tests(); - await TestProperSplit(); + base.Tests(); + TestProperSplit(); } - public async Task TestProperSplit() + public void TestProperSplit() { for (int length = 50; length <= 500; length += 50) { (string randomText, _) = GenerateText(length); - List<(int, int)> indices = await search.Split(randomText); + List<(int, int)> indices = search.Split(randomText); int currIndex = 0; foreach ((int startIndex, int endIndex) in indices) { @@ -510,7 +500,7 @@ public async Task TestProperSplit() currIndex = endIndex + 1; } Assert.AreEqual(currIndex, length); - int key = await search.Add(randomText); + int key = search.Add(randomText); Assert.AreEqual(search.Get(key), randomText); } } @@ -520,13 +510,13 @@ public class TestTokenSplitter : TestSplitter {} public class TestWordSplitter : TestSplitter { - public override async Task Tests() + public override void Tests() { - await base.Tests(); - await TestSplit(); + base.Tests(); + TestSplit(); } - public async Task TestSplit() + public void TestSplit() { System.Random random = new System.Random(); char[] characters = "abcdefghijklmnopqrstuvwxyz".ToCharArray(); @@ -549,7 +539,7 @@ public async Task TestSplit() } string text = String.Join(" ", splits); - List<(int, int)> indices = await search.Split(text); + List<(int, int)> indices = search.Split(text); for (int i = 0; i < indices.Count; i++) { (int startIndex, int endIndex) = indices[i]; @@ -563,17 +553,17 @@ public async Task TestSplit() public class TestSentenceSplitter : TestSplitter { - public override async Task Tests() + public override void Tests() { - await base.Tests(); - await TestSplit(); + base.Tests(); + TestSplit(); } - public async Task TestSplit() + public void TestSplit() { - async Task SplitSentences(string text) + string[] SplitSentences(string text) { - List<(int, int)> indices = await search.Split(text); + List<(int, int)> indices = search.Split(text); List sentences = new List(); foreach ((int startIndex, int endIndex) in indices) sentences.Add(text.Substring(startIndex, endIndex - startIndex + 1)); return sentences.ToArray(); @@ -592,9 +582,9 @@ async Task SplitSentences(string text) sentencesGT = (string[])sentences.Clone(); text = String.Join("", sentencesGT); - sentencesBack = await SplitSentences(text); + sentencesBack = SplitSentences(text); Assert.AreEqual(sentencesBack, sentencesGT); - key = await search.Add(text); + key = search.Add(text); Assert.AreEqual(search.Get(key), text); sentencesGT = (string[])sentences.Clone(); @@ -603,18 +593,18 @@ async Task SplitSentences(string text) sentencesGT[2] += ".... "; sentencesGT[3] += " ?"; text = String.Join("", sentencesGT); - sentencesBack = await SplitSentences(text); + sentencesBack = SplitSentences(text); Assert.AreEqual(sentencesBack, sentencesGT); - key = await search.Add(text); + key = search.Add(text); Assert.AreEqual(search.Get(key), text); for (int length = 10; length <= 100; length += 10) { (string randomText, List<(int, int)> indicesGT) = GenerateText(length); - List<(int, int)> indices = await search.Split(randomText); + List<(int, int)> indices = search.Split(randomText); Assert.AreEqual(indices.Count, indicesGT.Count); Assert.AreEqual(indices, indicesGT); - key = await search.Add(randomText); + key = search.Add(randomText); Assert.AreEqual(search.Get(key), randomText); } @@ -661,24 +651,24 @@ public class TestRAG_DBSearch_TokenSplitter : TestRAG public abstract class TestRAG_Chunking : TestRAG { - public override async Task TestSearch() + public override void TestSearch() { - await base.TestSearch(); + base.TestSearch(); string[] results; float[] distances; - await search.Add(weather + raining); - await search.Add(sometext); + search.Add(weather + raining); + search.Add(sometext); search.ReturnChunks(false); - (results, distances) = await search.Search(weather, 1); + (results, distances) = search.Search(weather, 1); Assert.That(results.Length == 1); Assert.That(distances.Length == 1); Assert.AreEqual(results[0], weather + raining); search.ReturnChunks(true); - (results, distances) = await search.Search(weather, 1); + (results, distances) = search.Search(weather, 1); Assert.That(results.Length == 1); Assert.That(distances.Length == 1); Assert.AreEqual(results[0], weather); From 8118aa52fc391f5e88d982ed4167fcae80aae9ad Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 18 Aug 2025 01:23:32 +0300 Subject: [PATCH 09/69] allow empty templates --- Runtime/LlamaLib/LLM.cs | 2 -- 1 file changed, 2 deletions(-) diff --git a/Runtime/LlamaLib/LLM.cs b/Runtime/LlamaLib/LLM.cs index 304df8a0..5dcd9d20 100644 --- a/Runtime/LlamaLib/LLM.cs +++ b/Runtime/LlamaLib/LLM.cs @@ -257,8 +257,6 @@ protected LLMProvider(LlamaLib llamaLibInstance) : base(llamaLibInstance) {} public void SetTemplate(string template) { - if (string.IsNullOrEmpty(template)) - throw new ArgumentNullException(nameof(template)); CheckLlamaLib(); llamaLib.LLM_Set_Template(llm, template); } From 05caeeaa3c06a60ebdf8d4933a738350ea2e1f5f Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 18 Aug 2025 01:27:25 +0300 Subject: [PATCH 10/69] small fixes mainly on the ChatAsync --- Runtime/LLMAgent.cs | 56 +++++++++++++++++++------------------------- Runtime/LLMCaller.cs | 25 +++++++++++++------- 2 files changed, 40 insertions(+), 41 deletions(-) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 0da7a52a..15082e50 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -127,9 +127,7 @@ public class LLMAgent : LLMCaller [Tooltip("the grammar to use")] public string grammarJSONString; - /// \cond HIDE - protected SemaphoreSlim chatLock = new SemaphoreSlim(1, 1); - /// \endcond + string completionParametersPre = ""; [Local, SerializeField] protected UndreamAI.LlamaLib.LLMAgent _llmAgent; public UndreamAI.LlamaLib.LLMAgent llmAgent @@ -153,15 +151,9 @@ public List chat /// - the chat template is constructed /// - the number of tokens to keep are based on the system prompt (if setNKeepToPrompt=true) /// - public override void Awake() + public override void Start() { - if (!enabled) return; - base.Awake(); - if (!remote) - { - int slotFromServer = llm.Register(this); - if (slot == -1) slot = slotFromServer; - } + base.Start(); llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, prompt, userName, AIName); InitGrammar(); InitHistory(); @@ -203,15 +195,7 @@ protected virtual void InitHistory() protected virtual async Task LoadHistory() { if (save == "" || !File.Exists(GetJsonSavePath(save))) return; - await chatLock.WaitAsync(); // Acquire the lock - try - { - Load(save); - } - finally - { - chatLock.Release(); // Release the lock - } + Load(save); } protected virtual string GetSavePath(string filename) @@ -291,24 +275,25 @@ protected virtual void SetCompletionParameters() ["top_p"] = topP, ["min_p"] = minP, ["n_predict"] = numPredict, - ["stream"] = stream, ["typical_p"] = typicalP, ["repeat_penalty"] = repeatPenalty, ["repeat_last_n"] = repeatLastN, - ["penalize_nl"] = penalizeNl, ["presence_penalty"] = presencePenalty, ["frequency_penalty"] = frequencyPenalty, - ["penalty_prompt"] = (penaltyPrompt != null && penaltyPrompt != "") ? penaltyPrompt : null, ["mirostat"] = mirostat, ["mirostat_tau"] = mirostatTau, ["mirostat_eta"] = mirostatEta, - ["json_schema"] = grammarJSONString, ["seed"] = seed, ["ignore_eos"] = ignoreEos, ["n_probs"] = nProbs, ["cache_prompt"] = cachePrompt }; - llmAgent.SetCompletionParameters(json); + string completionParameters = json.ToString(); + if (completionParameters != completionParametersPre) + { + llmAgent.SetCompletionParameters(json); + completionParametersPre = completionParameters; + } } /// @@ -351,7 +336,7 @@ public virtual void AddAIMessage(string content) /// callback function called when the full response has been received /// whether to add the user query to the chat history /// the LLM response - public virtual string ChatSync(string query, LlamaLib.CharArrayCallback callback = null, bool addToHistory = true) + public virtual string Chat(string query, LlamaLib.CharArrayCallback callback = null, bool addToHistory = true) { // handle a chat message by the user // call the callback function while the answer is received @@ -371,13 +356,20 @@ public virtual string ChatSync(string query, LlamaLib.CharArrayCallback callback /// callback function called when the full response has been received /// whether to add the user query to the chat history /// the LLM response - public virtual async Task Chat(string query, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, bool addToHistory = true) + public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, bool addToHistory = true) { - // handle a chat message by the user - // call the callback function while the answer is received - // call the completionCallback function when the answer is fully received SetCompletionParameters(); - string result = await llmAgent.ChatAsync(query, addToHistory, callback); + LlamaLib.CharArrayCallback wrappedCallback = null; + if (callback != null) + { + var context = SynchronizationContext.Current; + wrappedCallback = (string msg) => { + if (context != null) context.Post(_ => callback(msg), null); + else callback(msg); + }; + } + + string result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback); completionCallback?.Invoke(); return result; } @@ -407,7 +399,7 @@ public virtual async Task Warmup(string query, EmptyCallback completionCallback { int currNumPredict = numPredict; numPredict = 0; - await Chat(query, null, completionCallback, false); + await ChatAsync(query, null, completionCallback, false); numPredict = currNumPredict; SetCompletionParameters(); } diff --git a/Runtime/LLMCaller.cs b/Runtime/LLMCaller.cs index 9ed43c82..933fdde7 100644 --- a/Runtime/LLMCaller.cs +++ b/Runtime/LLMCaller.cs @@ -51,6 +51,8 @@ public LLMClient llmClient protected set => SetLLMClient(value); } + bool started = false; + /// /// The Unity Awake function that initializes the state before the application starts. /// The following actions are executed: @@ -74,14 +76,19 @@ public virtual void Awake() LLMUnitySetup.LogError(error); throw new Exception(error); } - llmClient = new LLMClient(llm.llmService); - } - else - { - llmClient = new LLMClient(host, port, APIKey); } } + public virtual void Start() + { + if (!enabled) return; + + if (!remote) llmClient = new LLMClient(llm.llmService); + else llmClient = new LLMClient(host, port, APIKey); + + started = true; + } + /// /// Sets the LLM object of the LLMCaller /// @@ -95,12 +102,12 @@ protected virtual void SetLLM(LLM llmSet) } _llm = llmSet; _prellm = _llm; - if (!remote) llmClient = new LLMClient(llm.llmService); + if (started && remote) llmClient = new LLMClient(llm.llmService); } protected virtual void SetLLMClient(LLMClient llmClientSet) { - llmClient = llmClientSet; + _llmClient = llmClientSet; } /// @@ -245,7 +252,7 @@ public virtual List Embeddings(string query, Callback> callba /// callback function that receives the response as string /// callback function called when the full response has been received /// the LLM response - public virtual string CompletionSync(string prompt, LlamaLib.CharArrayCallback callback = null) + public virtual string Completion(string prompt, LlamaLib.CharArrayCallback callback = null) { // handle a completion request by the user // call the callback function while the answer is received @@ -263,7 +270,7 @@ public virtual string CompletionSync(string prompt, LlamaLib.CharArrayCallback c /// callback function that receives the response as string /// callback function called when the full response has been received /// the LLM response - public virtual async Task Completion(string prompt, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null) + public virtual async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null) { // handle a completion request by the user // call the callback function while the answer is received From 23282d49f101a0f88e1792faec42cab9c6ea9260 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 18 Aug 2025 01:29:19 +0300 Subject: [PATCH 11/69] use ChatAsync instead of Chat --- Samples~/ChatBot/ChatBot.cs | 2 +- Samples~/FunctionCalling/FunctionCalling.cs | 10 +++++----- Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs | 2 +- Samples~/MobileDemo/MobileDemo.cs | 2 +- Samples~/MultipleCharacters/MultipleCharacters.cs | 2 +- Samples~/RAG/RAGAndLLM_Sample.cs | 2 +- Samples~/SimpleInteraction/SimpleInteraction.cs | 2 +- 7 files changed, 11 insertions(+), 11 deletions(-) diff --git a/Samples~/ChatBot/ChatBot.cs b/Samples~/ChatBot/ChatBot.cs index 4f1027dd..83dddb80 100644 --- a/Samples~/ChatBot/ChatBot.cs +++ b/Samples~/ChatBot/ChatBot.cs @@ -85,7 +85,7 @@ void onInputFieldSubmit(string newText) AddBubble(message, true); Bubble aiBubble = AddBubble("...", false); - Task chatTask = llmCharacter.Chat(message, aiBubble.SetText, AllowInput); + Task chatTask = llmCharacter.ChatAsync(message, aiBubble.SetText, AllowInput); inputBubble.SetText(""); } diff --git a/Samples~/FunctionCalling/FunctionCalling.cs b/Samples~/FunctionCalling/FunctionCalling.cs index b537be18..0d31f32d 100644 --- a/Samples~/FunctionCalling/FunctionCalling.cs +++ b/Samples~/FunctionCalling/FunctionCalling.cs @@ -13,7 +13,7 @@ public static class Functions public static string Weather() { - string[] weather = new string[]{"sunny", "rainy", "cloudy", "snowy"}; + string[] weather = new string[] {"sunny", "rainy", "cloudy", "snowy"}; return "The weather is " + weather[random.Next(weather.Length)]; } @@ -24,7 +24,7 @@ public static string Time() public static string Emotion() { - string[] emotion = new string[]{"happy", "sad", "exhilarated", "ok"}; + string[] emotion = new string[] {"happy", "sad", "exhilarated", "ok"}; return "I am feeling " + emotion[random.Next(emotion.Length)]; } } @@ -59,20 +59,20 @@ string ConstructPrompt(string message) string prompt = "Which of the following choices matches best the input?\n\n"; prompt += "Input:" + message + "\n\n"; prompt += "Choices:\n"; - foreach(string functionName in GetFunctionNames()) prompt += $"- {functionName}\n"; + foreach (string functionName in GetFunctionNames()) prompt += $"- {functionName}\n"; prompt += "\nAnswer directly with the choice"; return prompt; } string CallFunction(string functionName) { - return (string) typeof(Functions).GetMethod(functionName).Invoke(null, null); + return (string)typeof(Functions).GetMethod(functionName).Invoke(null, null); } async void onInputFieldSubmit(string message) { playerText.interactable = false; - string functionName = await llmCharacter.Chat(ConstructPrompt(message)); + string functionName = await llmCharacter.ChatAsync(ConstructPrompt(message)); string result = CallFunction(functionName); AIText.text = $"Calling {functionName}\n{result}"; playerText.interactable = true; diff --git a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs index f150778b..1b1e65ac 100644 --- a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs +++ b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs @@ -123,7 +123,7 @@ protected override void OnInputFieldSubmit(string question) PlayerText.interactable = false; SetAIText("..."); string prompt = ConstructPrompt(question); - _ = llmCharacter.Chat(prompt, SetAIText, AIReplyComplete); + _ = llmCharacter.ChatAsync(prompt, SetAIText, AIReplyComplete); } protected override void DropdownChange(int selection) diff --git a/Samples~/MobileDemo/MobileDemo.cs b/Samples~/MobileDemo/MobileDemo.cs index b7aa0e36..bb84e571 100644 --- a/Samples~/MobileDemo/MobileDemo.cs +++ b/Samples~/MobileDemo/MobileDemo.cs @@ -60,7 +60,7 @@ void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - _ = llmCharacter.Chat(message, SetAIText, AIReplyComplete); + _ = llmCharacter.ChatAsync(message, SetAIText, AIReplyComplete); } public void SetAIText(string text) diff --git a/Samples~/MultipleCharacters/MultipleCharacters.cs b/Samples~/MultipleCharacters/MultipleCharacters.cs index 82067e2c..b53e3e7a 100644 --- a/Samples~/MultipleCharacters/MultipleCharacters.cs +++ b/Samples~/MultipleCharacters/MultipleCharacters.cs @@ -28,7 +28,7 @@ public void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - _ = llmCharacter.Chat(message, SetAIText, AIReplyComplete); + _ = llmCharacter.ChatAsync(message, SetAIText, AIReplyComplete); } public void SetAIText(string text) diff --git a/Samples~/RAG/RAGAndLLM_Sample.cs b/Samples~/RAG/RAGAndLLM_Sample.cs index f025a2ed..e9ebf010 100644 --- a/Samples~/RAG/RAGAndLLM_Sample.cs +++ b/Samples~/RAG/RAGAndLLM_Sample.cs @@ -21,7 +21,7 @@ protected override void onInputFieldSubmit(string message) } else { - _ = llmCharacter.Chat("Paraphrase the following phrase: " + similarPhrase, SetAIText, AIReplyComplete); + _ = llmCharacter.ChatAsync("Paraphrase the following phrase: " + similarPhrase, SetAIText, AIReplyComplete); } } diff --git a/Samples~/SimpleInteraction/SimpleInteraction.cs b/Samples~/SimpleInteraction/SimpleInteraction.cs index 9c088c3b..596f1e75 100644 --- a/Samples~/SimpleInteraction/SimpleInteraction.cs +++ b/Samples~/SimpleInteraction/SimpleInteraction.cs @@ -20,7 +20,7 @@ void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - _ = llmCharacter.Chat(message, SetAIText, AIReplyComplete); + _ = llmCharacter.ChatAsync(message, SetAIText, AIReplyComplete); } public void SetAIText(string text) From 8762162a9a1a8b3211512a3a5a64078f55525393 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 18 Aug 2025 12:44:22 +0300 Subject: [PATCH 12/69] move completion parameters to LLMCaller --- Runtime/LLM.cs | 2 +- Runtime/LLMAgent.cs | 156 ++------------------------------------ Runtime/LLMCaller.cs | 175 +++++++++++++++++++++++++++++++++++++++++-- 3 files changed, 177 insertions(+), 156 deletions(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index e27d88d2..087c6910 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -460,7 +460,7 @@ public void SetTemplate(string templateName, bool setDirty = true) return; } chatTemplate = templateName; - if (started) llmService.SetTemplate(chatTemplate == "auto"? "": chatTemplate); + if (started) llmService.SetTemplate(chatTemplate == "auto" ? "" : chatTemplate); #if UNITY_EDITOR if (setDirty && !EditorApplication.isPlaying) EditorUtility.SetDirty(this); #endif diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 15082e50..c999c0ad 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -1,13 +1,10 @@ /// @file /// @brief File implementing the LLM characters. -using Newtonsoft.Json.Linq; -using System; using System.Collections.Generic; using System.IO; using System.Threading; using System.Threading.Tasks; using UndreamAI.LlamaLib; -using UnityEditor; using UnityEngine; namespace LLMUnity @@ -29,87 +26,9 @@ public class LLMAgent : LLMCaller /// log the constructed prompt the Unity Editor. // [Tooltip("log the constructed prompt the Unity Editor.")] // [LLM] public bool debugPrompt = false; - /// maximum number of tokens that the LLM will predict (-1 = infinity). - [Tooltip("maximum number of tokens that the LLM will predict (-1 = infinity).")] - [Model] public int numPredict = -1; /// slot of the server to use for computation (affects caching) [Tooltip("slot of the server to use for computation (affects caching)")] [ModelAdvanced] public int slot = -1; - /// grammar file used for the LLMAgent (.gbnf format) - [Tooltip("grammar file used for the LLMAgent (.gbnf format)")] - [ModelAdvanced] public string grammar = null; - /// grammar file used for the LLMAgent (.json format) - [Tooltip("grammar file used for the LLMAgent (.json format)")] - [ModelAdvanced] public string grammarJSON = null; - /// cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!) - [Tooltip("cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!)")] - [ModelAdvanced] public bool cachePrompt = true; - /// seed for reproducibility (-1 = no reproducibility). - [Tooltip("seed for reproducibility (-1 = no reproducibility).")] - [ModelAdvanced] public int seed = 0; - /// LLM temperature, lower values give more deterministic answers. - [Tooltip("LLM temperature, lower values give more deterministic answers.")] - [ModelAdvanced, Float(0f, 2f)] public float temperature = 0.2f; - /// Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). - /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. - /// - [Tooltip("Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] - [ModelAdvanced, Int(-1, 100)] public int topK = 40; - /// Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). - /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. - /// - [Tooltip("Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] - [ModelAdvanced, Float(0f, 1f)] public float topP = 0.9f; - /// minimum probability for a token to be used. - [Tooltip("minimum probability for a token to be used.")] - [ModelAdvanced, Float(0f, 1f)] public float minP = 0.05f; - /// Penalty based on repeated tokens to control the repetition of token sequences in the generated text. - [Tooltip("Penalty based on repeated tokens to control the repetition of token sequences in the generated text.")] - [ModelAdvanced, Float(0f, 2f)] public float repeatPenalty = 1.1f; - /// Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). - [Tooltip("Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] - [ModelAdvanced, Float(0f, 1f)] public float presencePenalty = 0f; - /// Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). - [Tooltip("Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] - [ModelAdvanced, Float(0f, 1f)] public float frequencyPenalty = 0f; - /// enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens. - [Tooltip("enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens.")] - [ModelAdvanced, Float(0f, 1f)] public float typicalP = 1f; - /// last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size). - [Tooltip("last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size).")] - [ModelAdvanced, Int(0, 2048)] public int repeatLastN = 64; - /// penalize newline tokens when applying the repeat penalty. - [Tooltip("penalize newline tokens when applying the repeat penalty.")] - [ModelAdvanced] public bool penalizeNl = true; - /// prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt) - [Tooltip("prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt)")] - [ModelAdvanced] public string penaltyPrompt; - /// enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). - [Tooltip("enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0).")] - [ModelAdvanced, Int(0, 2)] public int mirostat = 0; - /// The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text. - [Tooltip("The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text.")] - [ModelAdvanced, Float(0f, 10f)] public float mirostatTau = 5f; - /// The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text. - [Tooltip("The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text.")] - [ModelAdvanced, Float(0f, 1f)] public float mirostatEta = 0.1f; - /// if greater than 0, the response also contains the probabilities of top N tokens for each generated token. - [Tooltip("if greater than 0, the response also contains the probabilities of top N tokens for each generated token.")] - [ModelAdvanced, Int(0, 10)] public int nProbs = 0; - /// ignore end of stream token and continue generating. - [Tooltip("ignore end of stream token and continue generating.")] - [ModelAdvanced] public bool ignoreEos = false; - /// stopwords to stop the LLM in addition to the default stopwords from the chat template. - [Tooltip("stopwords to stop the LLM in addition to the default stopwords from the chat template.")] - public List stop = new List(); - /// the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. - /// By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated. - // [Tooltip("the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated.")] - // public Dictionary logitBias = null; - /// Receive the reply from the model as it is produced (recommended!). - /// If not selected, the full reply from the model is received in one go - [Tooltip("Receive the reply from the model as it is produced (recommended!). If not selected, the full reply from the model is received in one go")] - [Chat] public bool stream = true; /// the name of the player [Tooltip("the name of the player")] [Chat] public string userName = "user"; @@ -119,15 +38,6 @@ public class LLMAgent : LLMCaller /// a description of the AI role (system prompt) [Tooltip("a description of the AI role (system prompt)")] [TextArea(5, 10), Chat] public string prompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."; - /// the chat history as list of chat messages - /// the grammar to use - [Tooltip("the grammar to use")] - public string grammarString; - /// the grammar to use - [Tooltip("the grammar to use")] - public string grammarJSONString; - - string completionParametersPre = ""; [Local, SerializeField] protected UndreamAI.LlamaLib.LLMAgent _llmAgent; public UndreamAI.LlamaLib.LLMAgent llmAgent @@ -155,7 +65,6 @@ public override void Start() { base.Start(); llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, prompt, userName, AIName); - InitGrammar(); InitHistory(); } @@ -186,13 +95,18 @@ protected override void SetLLMClient(LLMClient llmClientSet) llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, prompt, userName, AIName); } + protected override LLMLocal GetCaller() + { + return _llmAgent; + } + protected virtual void InitHistory() { ClearChat(); - _ = LoadHistory(); + LoadHistory(); } - protected virtual async Task LoadHistory() + protected virtual void LoadHistory() { if (save == "" || !File.Exists(GetJsonSavePath(save))) return; Load(save); @@ -242,60 +156,6 @@ public virtual void SetPrompt(string newPrompt, bool clearChat = true) llmAgent.SystemPrompt = newPrompt; } - protected virtual void InitGrammar() - { - grammarString = ""; - if (!String.IsNullOrEmpty(grammar)) - { - grammarString = File.ReadAllText(LLMUnitySetup.GetAssetPath(grammar)); - } - llmAgent.SetGrammar(grammarString); - } - - /// - /// Sets the grammar file of the LLMAgent (GBNF or JSON schema) - /// - /// path to the grammar file - public virtual async Task SetGrammar(string path) - { -#if UNITY_EDITOR - if (!EditorApplication.isPlaying) path = LLMUnitySetup.AddAsset(path); -#endif - await LLMUnitySetup.AndroidExtractAsset(path, true); - grammar = path; - InitGrammar(); - } - - protected virtual void SetCompletionParameters() - { - JObject json = new JObject - { - ["temperature"] = temperature, - ["top_k"] = topK, - ["top_p"] = topP, - ["min_p"] = minP, - ["n_predict"] = numPredict, - ["typical_p"] = typicalP, - ["repeat_penalty"] = repeatPenalty, - ["repeat_last_n"] = repeatLastN, - ["presence_penalty"] = presencePenalty, - ["frequency_penalty"] = frequencyPenalty, - ["mirostat"] = mirostat, - ["mirostat_tau"] = mirostatTau, - ["mirostat_eta"] = mirostatEta, - ["seed"] = seed, - ["ignore_eos"] = ignoreEos, - ["n_probs"] = nProbs, - ["cache_prompt"] = cachePrompt - }; - string completionParameters = json.ToString(); - if (completionParameters != completionParametersPre) - { - llmAgent.SetCompletionParameters(json); - completionParametersPre = completionParameters; - } - } - /// /// Allows to add a message in the chat history. /// @@ -358,7 +218,6 @@ public virtual string Chat(string query, LlamaLib.CharArrayCallback callback = n /// the LLM response public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, bool addToHistory = true) { - SetCompletionParameters(); LlamaLib.CharArrayCallback wrappedCallback = null; if (callback != null) { @@ -369,6 +228,7 @@ public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCall }; } + SetCompletionParameters(); string result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback); completionCallback?.Invoke(); return result; diff --git a/Runtime/LLMCaller.cs b/Runtime/LLMCaller.cs index 933fdde7..729d22e2 100644 --- a/Runtime/LLMCaller.cs +++ b/Runtime/LLMCaller.cs @@ -5,6 +5,9 @@ using System.Threading.Tasks; using UndreamAI.LlamaLib; using UnityEngine; +using UnityEditor; +using Newtonsoft.Json.Linq; +using System.IO; namespace LLMUnity { @@ -42,8 +45,93 @@ public LLM llm [Tooltip("number of retries to use for the remote LLM server requests (-1 = infinite)")] [Remote] public int numRetries = 10; - protected LLM _prellm; + /// maximum number of tokens that the LLM will predict (-1 = infinity). + [Tooltip("maximum number of tokens that the LLM will predict (-1 = infinity).")] + [Model] public int numPredict = -1; + /// grammar file used for the LLMAgent (.gbnf format) + [Tooltip("grammar file used for the LLMAgent (.gbnf format)")] + [ModelAdvanced] public string grammar = null; + /// grammar file used for the LLMAgent (.json format) + [Tooltip("grammar file used for the LLMAgent (.json format)")] + [ModelAdvanced] public string grammarJSON = null; + /// cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!) + [Tooltip("cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!)")] + [ModelAdvanced] public bool cachePrompt = true; + /// seed for reproducibility (-1 = no reproducibility). + [Tooltip("seed for reproducibility (-1 = no reproducibility).")] + [ModelAdvanced] public int seed = 0; + /// LLM temperature, lower values give more deterministic answers. + [Tooltip("LLM temperature, lower values give more deterministic answers.")] + [ModelAdvanced, Float(0f, 2f)] public float temperature = 0.2f; + /// Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). + /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. + /// + [Tooltip("Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] + [ModelAdvanced, Int(-1, 100)] public int topK = 40; + /// Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). + /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. + /// + [Tooltip("Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] + [ModelAdvanced, Float(0f, 1f)] public float topP = 0.9f; + /// minimum probability for a token to be used. + [Tooltip("minimum probability for a token to be used.")] + [ModelAdvanced, Float(0f, 1f)] public float minP = 0.05f; + /// Penalty based on repeated tokens to control the repetition of token sequences in the generated text. + [Tooltip("Penalty based on repeated tokens to control the repetition of token sequences in the generated text.")] + [ModelAdvanced, Float(0f, 2f)] public float repeatPenalty = 1.1f; + /// Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). + [Tooltip("Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] + [ModelAdvanced, Float(0f, 1f)] public float presencePenalty = 0f; + /// Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). + [Tooltip("Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] + [ModelAdvanced, Float(0f, 1f)] public float frequencyPenalty = 0f; + /// enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens. + [Tooltip("enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens.")] + [ModelAdvanced, Float(0f, 1f)] public float typicalP = 1f; + /// last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size). + [Tooltip("last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size).")] + [ModelAdvanced, Int(0, 2048)] public int repeatLastN = 64; + /// penalize newline tokens when applying the repeat penalty. + [Tooltip("penalize newline tokens when applying the repeat penalty.")] + [ModelAdvanced] public bool penalizeNl = true; + /// prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt) + [Tooltip("prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt)")] + [ModelAdvanced] public string penaltyPrompt; + /// enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). + [Tooltip("enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0).")] + [ModelAdvanced, Int(0, 2)] public int mirostat = 0; + /// The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text. + [Tooltip("The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text.")] + [ModelAdvanced, Float(0f, 10f)] public float mirostatTau = 5f; + /// The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text. + [Tooltip("The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text.")] + [ModelAdvanced, Float(0f, 1f)] public float mirostatEta = 0.1f; + /// if greater than 0, the response also contains the probabilities of top N tokens for each generated token. + [Tooltip("if greater than 0, the response also contains the probabilities of top N tokens for each generated token.")] + [ModelAdvanced, Int(0, 10)] public int nProbs = 0; + /// ignore end of stream token and continue generating. + [Tooltip("ignore end of stream token and continue generating.")] + [ModelAdvanced] public bool ignoreEos = false; + /// stopwords to stop the LLM in addition to the default stopwords from the chat template. + [Tooltip("stopwords to stop the LLM in addition to the default stopwords from the chat template.")] + public List stop = new List(); + /// the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. + /// By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated. + // [Tooltip("the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated.")] + // public Dictionary logitBias = null; + /// Receive the reply from the model as it is produced (recommended!). + /// If not selected, the full reply from the model is received in one go + [Tooltip("Receive the reply from the model as it is produced (recommended!). If not selected, the full reply from the model is received in one go")] + [Chat] public bool stream = true; + + /// the grammar to use + [Tooltip("the grammar to use")] + public string grammarString; + /// the grammar to use + [Tooltip("the grammar to use")] + public string grammarJSONString; + protected LLM _prellm; [Local, SerializeField] protected LLMClient _llmClient; public LLMClient llmClient { @@ -52,6 +140,7 @@ public LLMClient llmClient } bool started = false; + string completionParametersPre = ""; /// /// The Unity Awake function that initializes the state before the application starts. @@ -82,11 +171,22 @@ public virtual void Awake() public virtual void Start() { if (!enabled) return; + SetupLLMClient(); + started = true; + } + protected virtual void SetupLLMClient() + { if (!remote) llmClient = new LLMClient(llm.llmService); else llmClient = new LLMClient(host, port, APIKey); + InitGrammar(); + completionParametersPre = ""; + SetCompletionParameters(); + } - started = true; + protected virtual LLMLocal GetCaller() + { + return _llmClient; } /// @@ -95,6 +195,11 @@ public virtual void Start() /// LLM object protected virtual void SetLLM(LLM llmSet) { + if (remote) + { + LLMUnitySetup.LogError("The client is in remote mode"); + return; + } if (llmSet != null && !IsValidLLM(llmSet)) { LLMUnitySetup.LogError(NotValidLLMError()); @@ -102,7 +207,7 @@ protected virtual void SetLLM(LLM llmSet) } _llm = llmSet; _prellm = _llm; - if (started && remote) llmClient = new LLMClient(llm.llmService); + if (started) SetupLLMClient(); } protected virtual void SetLLMClient(LLMClient llmClientSet) @@ -193,6 +298,30 @@ protected virtual LLM[] SortLLMsByBestMatching(LLM[] arrayIn) return array; } + protected virtual void InitGrammar() + { + grammarString = ""; + if (!String.IsNullOrEmpty(grammar)) + { + grammarString = File.ReadAllText(LLMUnitySetup.GetAssetPath(grammar)); + } + GetCaller().SetGrammar(grammarString); + } + + /// + /// Sets the grammar file of the LLMAgent (GBNF or JSON schema) + /// + /// path to the grammar file + public virtual async Task SetGrammar(string path) + { +#if UNITY_EDITOR + if (!EditorApplication.isPlaying) path = LLMUnitySetup.AddAsset(path); +#endif + await LLMUnitySetup.AndroidExtractAsset(path, true); + grammar = path; + InitGrammar(); + } + /// /// Allows to cancel the requests in a specific slot of the LLM /// @@ -243,6 +372,36 @@ public virtual List Embeddings(string query, Callback> callba return embeddings; } + protected virtual void SetCompletionParameters() + { + JObject json = new JObject + { + ["temperature"] = temperature, + ["top_k"] = topK, + ["top_p"] = topP, + ["min_p"] = minP, + ["n_predict"] = numPredict, + ["typical_p"] = typicalP, + ["repeat_penalty"] = repeatPenalty, + ["repeat_last_n"] = repeatLastN, + ["presence_penalty"] = presencePenalty, + ["frequency_penalty"] = frequencyPenalty, + ["mirostat"] = mirostat, + ["mirostat_tau"] = mirostatTau, + ["mirostat_eta"] = mirostatEta, + ["seed"] = seed, + ["ignore_eos"] = ignoreEos, + ["n_probs"] = nProbs, + ["cache_prompt"] = cachePrompt + }; + string completionParameters = json.ToString(); + if (completionParameters != completionParametersPre) + { + GetCaller().SetCompletionParameters(json); + completionParametersPre = completionParameters; + } + } + /// /// Completion functionality of the LLM. /// It calls the LLM completion based solely on the provided prompt (no formatting by the chat template). @@ -252,13 +411,14 @@ public virtual List Embeddings(string query, Callback> callba /// callback function that receives the response as string /// callback function called when the full response has been received /// the LLM response - public virtual string Completion(string prompt, LlamaLib.CharArrayCallback callback = null) + public virtual string Completion(string prompt, LlamaLib.CharArrayCallback callback = null, int id_slot = -1) { // handle a completion request by the user // call the callback function while the answer is received // call the completionCallback function when the answer is fully received - return llmClient.Completion(prompt, callback); + SetCompletionParameters(); + return llmClient.Completion(prompt, callback, id_slot); } /// @@ -270,13 +430,14 @@ public virtual string Completion(string prompt, LlamaLib.CharArrayCallback callb /// callback function that receives the response as string /// callback function called when the full response has been received /// the LLM response - public virtual async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null) + public virtual async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, int id_slot = -1) { // handle a completion request by the user // call the callback function while the answer is received // call the completionCallback function when the answer is fully received - string result = await llmClient.CompletionAsync(prompt, callback); + SetCompletionParameters(); + string result = await llmClient.CompletionAsync(prompt, callback, id_slot); completionCallback?.Invoke(); return result; } From 42ae20f4c41759dfa261b7692ab2b285788555f7 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 18 Aug 2025 12:50:59 +0300 Subject: [PATCH 13/69] rename LLMCaller to LLMClient --- Editor/LLMCallerEditor.cs | 2 +- Runtime/LLM.cs | 18 +++++++++--------- Runtime/LLMAgent.cs | 6 +++--- Runtime/{LLMCaller.cs => LLMClient.cs} | 18 +++++++++--------- .../{LLMCaller.cs.meta => LLMClient.cs.meta} | 0 Runtime/LLMEmbedder.cs | 2 +- Runtime/LlamaLib/LLMAgent.cs | 5 ++--- .../KnowledgeBaseGame/KnowledgeBaseGame.cs | 6 +++--- Samples~/RAG/RAG_Sample.cs | 6 +++--- 9 files changed, 31 insertions(+), 32 deletions(-) rename Runtime/{LLMCaller.cs => LLMClient.cs} (97%) rename Runtime/{LLMCaller.cs.meta => LLMClient.cs.meta} (100%) diff --git a/Editor/LLMCallerEditor.cs b/Editor/LLMCallerEditor.cs index 006b7908..20ef6372 100644 --- a/Editor/LLMCallerEditor.cs +++ b/Editor/LLMCallerEditor.cs @@ -5,7 +5,7 @@ namespace LLMUnity { - [CustomEditor(typeof(LLMCaller), true)] + [CustomEditor(typeof(LLMClient), true)] public class LLMCallerEditor : PropertyEditor {} [CustomEditor(typeof(LLMAgent), true)] diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index 087c6910..c875cdcc 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -34,8 +34,8 @@ public class LLM : MonoBehaviour /// If the user's GPU is not supported, the LLM will fall back to the CPU [Tooltip("number of model layers to offload to the GPU (0 = GPU not used). If the user's GPU is not supported, the LLM will fall back to the CPU")] [LLM] public int numGPULayers = 0; - /// number of prompts that can happen in parallel (-1 = number of LLMCaller objects) - [Tooltip("number of prompts that can happen in parallel (-1 = number of LLMCaller objects)")] + /// number of prompts that can happen in parallel (-1 = number of LLMClient objects) + [Tooltip("number of prompts that can happen in parallel (-1 = number of LLMClient objects)")] [LLMAdvanced] public int parallelPrompts = -1; /// do not destroy the LLM GameObject when loading a new Scene. [Tooltip("do not destroy the LLM GameObject when loading a new Scene.")] @@ -101,7 +101,7 @@ public LLMService llmService } public string architecture => llmlib?.architecture; - List clients = new List(); + List clients = new List(); public LLMManager llmManager = new LLMManager(); static readonly object staticLock = new object(); public LoraManager loraManager = new LoraManager(); @@ -525,15 +525,15 @@ public string GetTemplate() } /// - /// Registers a local LLMCaller object. - /// This allows to bind the LLMCaller "client" to a specific slot of the LLM. + /// Registers a local LLMClient object. + /// This allows to bind the LLMClient "client" to a specific slot of the LLM. /// - /// + /// /// - public int Register(LLMCaller llmCaller) + public int Register(LLMClient llmClient) { - clients.Add(llmCaller); - int index = clients.IndexOf(llmCaller); + clients.Add(llmClient); + int index = clients.IndexOf(llmClient); if (parallelPrompts != -1) return index % parallelPrompts; return index; } diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index c999c0ad..c2aab154 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -14,7 +14,7 @@ namespace LLMUnity /// /// Class implementing the LLM characters. /// - public class LLMAgent : LLMCaller + public class LLMAgent : LLMClient { /// file to save the chat history. /// The file will be saved within the persistentDataPath directory. @@ -80,7 +80,7 @@ protected override string NotValidLLMError() } /// - /// Checks if a LLM is valid for the LLMCaller + /// Checks if a LLM is valid for the LLMClient /// /// LLM object /// bool specifying whether the LLM is valid @@ -89,7 +89,7 @@ public override bool IsValidLLM(LLM llmSet) return !llmSet.embeddingsOnly; } - protected override void SetLLMClient(LLMClient llmClientSet) + protected override void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientSet) { base.SetLLMClient(llmClientSet); llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, prompt, userName, AIName); diff --git a/Runtime/LLMCaller.cs b/Runtime/LLMClient.cs similarity index 97% rename from Runtime/LLMCaller.cs rename to Runtime/LLMClient.cs index 729d22e2..fb59a065 100644 --- a/Runtime/LLMCaller.cs +++ b/Runtime/LLMClient.cs @@ -16,7 +16,7 @@ namespace LLMUnity /// /// Class implementing calling of LLM functions (local and remote). /// - public class LLMCaller : MonoBehaviour + public class LLMClient : MonoBehaviour { /// show/hide advanced options in the GameObject [Tooltip("show/hide advanced options in the GameObject")] @@ -132,8 +132,8 @@ public LLM llm public string grammarJSONString; protected LLM _prellm; - [Local, SerializeField] protected LLMClient _llmClient; - public LLMClient llmClient + [Local, SerializeField] protected UndreamAI.LlamaLib.LLMClient _llmClient; + public UndreamAI.LlamaLib.LLMClient llmClient { get => _llmClient; protected set => SetLLMClient(value); @@ -177,8 +177,8 @@ public virtual void Start() protected virtual void SetupLLMClient() { - if (!remote) llmClient = new LLMClient(llm.llmService); - else llmClient = new LLMClient(host, port, APIKey); + if (!remote) llmClient = new UndreamAI.LlamaLib.LLMClient(llm.llmService); + else llmClient = new UndreamAI.LlamaLib.LLMClient(host, port, APIKey); InitGrammar(); completionParametersPre = ""; SetCompletionParameters(); @@ -190,7 +190,7 @@ protected virtual LLMLocal GetCaller() } /// - /// Sets the LLM object of the LLMCaller + /// Sets the LLM object of the LLMClient /// /// LLM object protected virtual void SetLLM(LLM llmSet) @@ -210,13 +210,13 @@ protected virtual void SetLLM(LLM llmSet) if (started) SetupLLMClient(); } - protected virtual void SetLLMClient(LLMClient llmClientSet) + protected virtual void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientSet) { _llmClient = llmClientSet; } /// - /// Checks if a LLM is valid for the LLMCaller + /// Checks if a LLM is valid for the LLMClient /// /// LLM object /// bool specifying whether the LLM is valid @@ -226,7 +226,7 @@ public virtual bool IsValidLLM(LLM llmSet) } /// - /// Checks if a LLM can be auto-assigned if the LLM of the LLMCaller is null + /// Checks if a LLM can be auto-assigned if the LLM of the LLMClient is null /// /// /// bool specifying whether the LLM can be auto-assigned diff --git a/Runtime/LLMCaller.cs.meta b/Runtime/LLMClient.cs.meta similarity index 100% rename from Runtime/LLMCaller.cs.meta rename to Runtime/LLMClient.cs.meta diff --git a/Runtime/LLMEmbedder.cs b/Runtime/LLMEmbedder.cs index 1a7962b5..1fa04fed 100644 --- a/Runtime/LLMEmbedder.cs +++ b/Runtime/LLMEmbedder.cs @@ -9,7 +9,7 @@ namespace LLMUnity /// /// Class implementing the LLM embedder. /// - public class LLMEmbedder : LLMCaller + public class LLMEmbedder : LLMClient { protected override void SetLLM(LLM llmSet) { diff --git a/Runtime/LlamaLib/LLMAgent.cs b/Runtime/LlamaLib/LLMAgent.cs index 958272b1..11ee4a0e 100644 --- a/Runtime/LlamaLib/LLMAgent.cs +++ b/Runtime/LlamaLib/LLMAgent.cs @@ -153,7 +153,7 @@ public List GetHistory() } } } - catch { } + catch {} return messages; } @@ -280,7 +280,6 @@ public void Cancel() llamaLib.LLM_Cancel(llm, SlotId); } - // Override slot-based methods to hide them private new string SaveSlot(int id_slot, string filepath) { @@ -297,4 +296,4 @@ public void Cancel() Cancel(); } } -} \ No newline at end of file +} diff --git a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs index 1b1e65ac..f779ae2e 100644 --- a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs +++ b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs @@ -162,11 +162,11 @@ public void ExitGame() Application.Quit(); } - void CheckLLM(LLMCaller llmCaller, bool debug) + void CheckLLM(LLMClient llmClient, bool debug) { - if (!llmCaller.remote && llmCaller.llm != null && llmCaller.llm.model == "") + if (!llmClient.remote && llmClient.llm != null && llmClient.llm.model == "") { - string error = $"Please select a llm model in the {llmCaller.llm.gameObject.name} GameObject!"; + string error = $"Please select a llm model in the {llmClient.llm.gameObject.name} GameObject!"; if (debug) Debug.LogWarning(error); else throw new System.Exception(error); } diff --git a/Samples~/RAG/RAG_Sample.cs b/Samples~/RAG/RAG_Sample.cs index 1f665e46..3b668e9d 100644 --- a/Samples~/RAG/RAG_Sample.cs +++ b/Samples~/RAG/RAG_Sample.cs @@ -82,11 +82,11 @@ public void ExitGame() Application.Quit(); } - protected void CheckLLM(LLMCaller llmCaller, bool debug) + protected void CheckLLM(LLMClient llmClient, bool debug) { - if (!llmCaller.remote && llmCaller.llm != null && llmCaller.llm.model == "") + if (!llmClient.remote && llmClient.llm != null && llmClient.llm.model == "") { - string error = $"Please select a llm model in the {llmCaller.llm.gameObject.name} GameObject!"; + string error = $"Please select a llm model in the {llmClient.llm.gameObject.name} GameObject!"; if (debug) Debug.LogWarning(error); else throw new System.Exception(error); } From 5c62cecc81fccd4f0352e76667be7e94db334926 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 18 Aug 2025 13:02:38 +0300 Subject: [PATCH 14/69] simplify grammar by keeping the grammar value instead of the file --- Editor/LLMCallerEditor.cs | 15 ++------ Runtime/LLMClient.cs | 40 +++++++-------------- Samples~/FunctionCalling/FunctionCalling.cs | 2 +- 3 files changed, 16 insertions(+), 41 deletions(-) diff --git a/Editor/LLMCallerEditor.cs b/Editor/LLMCallerEditor.cs index 20ef6372..710f4aaa 100644 --- a/Editor/LLMCallerEditor.cs +++ b/Editor/LLMCallerEditor.cs @@ -28,21 +28,10 @@ public override void AddModelSettings(SerializedObject llmScriptSO) { EditorApplication.delayCall += () => { - string path = EditorUtility.OpenFilePanelWithFilters("Select a gbnf grammar file", "", new string[] { "Grammar Files", "gbnf" }); + string path = EditorUtility.OpenFilePanelWithFilters("Select a gbnf grammar file", "", new string[] { "Grammar Files", "json,gbnf" }); if (!string.IsNullOrEmpty(path)) { - ((LLMAgent)target).SetGrammar(path); - } - }; - } - if (GUILayout.Button("Load JSON grammar", GUILayout.Width(buttonWidth))) - { - EditorApplication.delayCall += () => - { - string path = EditorUtility.OpenFilePanelWithFilters("Select a json schema grammar file", "", new string[] { "Grammar Files", "json" }); - if (!string.IsNullOrEmpty(path)) - { - ((LLMAgent)target).SetGrammar(path); + ((LLMAgent)target).LoadGrammar(path); } }; } diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index fb59a065..bb2a3f2b 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -48,12 +48,9 @@ public LLM llm /// maximum number of tokens that the LLM will predict (-1 = infinity). [Tooltip("maximum number of tokens that the LLM will predict (-1 = infinity).")] [Model] public int numPredict = -1; - /// grammar file used for the LLMAgent (.gbnf format) - [Tooltip("grammar file used for the LLMAgent (.gbnf format)")] + /// grammar used by the LLM + [Tooltip("grammar used by the LLM")] [ModelAdvanced] public string grammar = null; - /// grammar file used for the LLMAgent (.json format) - [Tooltip("grammar file used for the LLMAgent (.json format)")] - [ModelAdvanced] public string grammarJSON = null; /// cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!) [Tooltip("cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!)")] [ModelAdvanced] public bool cachePrompt = true; @@ -124,13 +121,6 @@ public LLM llm [Tooltip("Receive the reply from the model as it is produced (recommended!). If not selected, the full reply from the model is received in one go")] [Chat] public bool stream = true; - /// the grammar to use - [Tooltip("the grammar to use")] - public string grammarString; - /// the grammar to use - [Tooltip("the grammar to use")] - public string grammarJSONString; - protected LLM _prellm; [Local, SerializeField] protected UndreamAI.LlamaLib.LLMClient _llmClient; public UndreamAI.LlamaLib.LLMClient llmClient @@ -179,7 +169,7 @@ protected virtual void SetupLLMClient() { if (!remote) llmClient = new UndreamAI.LlamaLib.LLMClient(llm.llmService); else llmClient = new UndreamAI.LlamaLib.LLMClient(host, port, APIKey); - InitGrammar(); + SetGrammar(grammar); completionParametersPre = ""; SetCompletionParameters(); } @@ -298,28 +288,24 @@ protected virtual LLM[] SortLLMsByBestMatching(LLM[] arrayIn) return array; } - protected virtual void InitGrammar() + /// + /// Sets the provided grammar (gbnf or json schema format) + /// + /// grammar in gbnf or json schema format + public virtual void SetGrammar(string grammarString) { - grammarString = ""; - if (!String.IsNullOrEmpty(grammar)) - { - grammarString = File.ReadAllText(LLMUnitySetup.GetAssetPath(grammar)); - } + grammar = grammarString; GetCaller().SetGrammar(grammarString); } /// - /// Sets the grammar file of the LLMAgent (GBNF or JSON schema) + /// Loads a grammar file /// /// path to the grammar file - public virtual async Task SetGrammar(string path) + public virtual void LoadGrammar(string path) { -#if UNITY_EDITOR - if (!EditorApplication.isPlaying) path = LLMUnitySetup.AddAsset(path); -#endif - await LLMUnitySetup.AndroidExtractAsset(path, true); - grammar = path; - InitGrammar(); + if (String.IsNullOrEmpty(path)) return; + SetGrammar(File.ReadAllText(path)); } /// diff --git a/Samples~/FunctionCalling/FunctionCalling.cs b/Samples~/FunctionCalling/FunctionCalling.cs index 0d31f32d..6c17b139 100644 --- a/Samples~/FunctionCalling/FunctionCalling.cs +++ b/Samples~/FunctionCalling/FunctionCalling.cs @@ -39,7 +39,7 @@ void Start() { playerText.onSubmit.AddListener(onInputFieldSubmit); playerText.Select(); - llmCharacter.grammarString = MultipleChoiceGrammar(); + llmCharacter.grammar = MultipleChoiceGrammar(); } string[] GetFunctionNames() From f778fb9a3386906fb96057dbf0b6adebc952c199 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 18 Aug 2025 13:09:18 +0300 Subject: [PATCH 15/69] remove unused completion parameters --- Runtime/LLMClient.cs | 9 --------- 1 file changed, 9 deletions(-) diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index bb2a3f2b..7b1dfb5f 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -88,12 +88,6 @@ public LLM llm /// last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size). [Tooltip("last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size).")] [ModelAdvanced, Int(0, 2048)] public int repeatLastN = 64; - /// penalize newline tokens when applying the repeat penalty. - [Tooltip("penalize newline tokens when applying the repeat penalty.")] - [ModelAdvanced] public bool penalizeNl = true; - /// prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt) - [Tooltip("prompt for the purpose of the penalty evaluation. Can be either null, a string or an array of numbers representing tokens (null/'' = use original prompt)")] - [ModelAdvanced] public string penaltyPrompt; /// enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). [Tooltip("enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0).")] [ModelAdvanced, Int(0, 2)] public int mirostat = 0; @@ -109,9 +103,6 @@ public LLM llm /// ignore end of stream token and continue generating. [Tooltip("ignore end of stream token and continue generating.")] [ModelAdvanced] public bool ignoreEos = false; - /// stopwords to stop the LLM in addition to the default stopwords from the chat template. - [Tooltip("stopwords to stop the LLM in addition to the default stopwords from the chat template.")] - public List stop = new List(); /// the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. /// By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated. // [Tooltip("the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated.")] From 567ad3f5dc25e6eaf3e35918f2d8240a745cfd8c Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 18 Aug 2025 17:58:47 +0300 Subject: [PATCH 16/69] getters/setters for variables needing more actions --- ...{LLMCallerEditor.cs => LLMClientEditor.cs} | 1 - README.md | 4 +- Runtime/LLMAgent.cs | 53 ++++++------ Runtime/LLMClient.cs | 81 ++++++++++--------- .../KnowledgeBaseGame/KnowledgeBaseGame.cs | 2 +- 5 files changed, 73 insertions(+), 68 deletions(-) rename Editor/{LLMCallerEditor.cs => LLMClientEditor.cs} (94%) diff --git a/Editor/LLMCallerEditor.cs b/Editor/LLMClientEditor.cs similarity index 94% rename from Editor/LLMCallerEditor.cs rename to Editor/LLMClientEditor.cs index 710f4aaa..50b7cac2 100644 --- a/Editor/LLMCallerEditor.cs +++ b/Editor/LLMClientEditor.cs @@ -23,7 +23,6 @@ public override void AddModelSettings(SerializedObject llmScriptSO) ShowPropertiesOfClass("", llmScriptSO, new List { typeof(ModelAttribute) }, false); EditorGUILayout.BeginHorizontal(); - GUILayout.Label("Grammar", GUILayout.Width(EditorGUIUtility.labelWidth)); if (GUILayout.Button("Load grammar", GUILayout.Width(buttonWidth))) { EditorApplication.delayCall += () => diff --git a/README.md b/README.md index 19cbbdda..03782890 100644 --- a/README.md +++ b/README.md @@ -328,8 +328,8 @@ public class MyScript : MonoBehaviour // set the character prompt llmCharacter.SetPrompt("A chat between a curious human and an artificial intelligence assistant."); // set the AI and player name - llmCharacter.AIName = "AI"; - llmCharacter.userName = "Human"; + llmCharacter.assistantRole = "AI"; + llmCharacter.userRole = "Human"; // optional: set streaming to false to get the complete result in one go // llmCharacter.stream = true; // optional: set a save path diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index c2aab154..05bd2a13 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -28,16 +28,36 @@ public class LLMAgent : LLMClient // [LLM] public bool debugPrompt = false; /// slot of the server to use for computation (affects caching) [Tooltip("slot of the server to use for computation (affects caching)")] - [ModelAdvanced] public int slot = -1; + [ModelAdvanced, SerializeField] protected int _slot = -1; + public int slot + { + get => _slot; + set { if (_slot != value) { _slot = value; if (llmAgent != null) llmAgent.SlotId = _slot; } } + } /// the name of the player - [Tooltip("the name of the player")] - [Chat] public string userName = "user"; + [Tooltip("the name of the user")] + [Chat, SerializeField] protected string _userRole = "user"; + public string userRole + { + get => _userRole; + set { if (_userRole != value) { _userRole = value; if (llmAgent != null) llmAgent.UserRole = _userRole; } } + } /// the name of the AI - [Tooltip("the name of the AI")] - [Chat] public string AIName = "assistant"; + [Tooltip("the name of the AI assistant")] + [Chat, SerializeField] protected string _assistantRole = "assistant"; + public string assistantRole + { + get => _assistantRole; + set { if (_assistantRole != value) { _assistantRole = value; if (llmAgent != null) llmAgent.AssistantRole = _assistantRole; } } + } /// a description of the AI role (system prompt) [Tooltip("a description of the AI role (system prompt)")] - [TextArea(5, 10), Chat] public string prompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."; + [TextArea(5, 10), Chat, SerializeField] protected string _systemPrompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."; + public string systemPrompt + { + get => _systemPrompt; + set { if (_systemPrompt != value) { _systemPrompt = value; if (llmAgent != null) llmAgent.SystemPrompt = _systemPrompt; } } + } [Local, SerializeField] protected UndreamAI.LlamaLib.LLMAgent _llmAgent; public UndreamAI.LlamaLib.LLMAgent llmAgent @@ -64,7 +84,7 @@ public List chat public override void Start() { base.Start(); - llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, prompt, userName, AIName); + llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, systemPrompt, userRole, assistantRole); InitHistory(); } @@ -74,25 +94,10 @@ protected override void OnValidate() if (llm != null && llm.parallelPrompts > -1 && (slot < -1 || slot >= llm.parallelPrompts)) LLMUnitySetup.LogError($"The slot needs to be between 0 and {llm.parallelPrompts - 1}, or -1 to be automatically set"); } - protected override string NotValidLLMError() - { - return base.NotValidLLMError() + $", it is an embedding only model"; - } - - /// - /// Checks if a LLM is valid for the LLMClient - /// - /// LLM object - /// bool specifying whether the LLM is valid - public override bool IsValidLLM(LLM llmSet) - { - return !llmSet.embeddingsOnly; - } - protected override void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientSet) { base.SetLLMClient(llmClientSet); - llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, prompt, userName, AIName); + llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, systemPrompt, userRole, assistantRole); } protected override LLMLocal GetCaller() @@ -159,7 +164,7 @@ public virtual void SetPrompt(string newPrompt, bool clearChat = true) /// /// Allows to add a message in the chat history. /// - /// message role (e.g. userName or AIName) + /// message role (e.g. userRole or assistantRole) /// message content public virtual void AddMessage(string role, string content) { diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 7b1dfb5f..87178767 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -23,7 +23,12 @@ public class LLMClient : MonoBehaviour [HideInInspector] public bool advancedOptions = false; /// use remote LLM server [Tooltip("use remote LLM server")] - [LocalRemote] public bool remote = false; + [LocalRemote, SerializeField] protected bool _remote; + public bool remote + { + get => _remote; + set { if (_remote != value) { _remote = value; SetupLLMClient(); } } + } /// LLM GameObject to use [Tooltip("LLM GameObject to use")] // Tooltip: ignore [Local, SerializeField] protected LLM _llm; @@ -34,23 +39,40 @@ public LLM llm } /// API key for the remote server [Tooltip("API key for the remote server")] - [Remote] public string APIKey; + [Remote, SerializeField] protected string _APIKey; + public string APIKey + { + get => _APIKey; + set { if (_APIKey != value) { _APIKey = value; SetupLLMClient(); } } + } /// host of the remote LLM server [Tooltip("host of the remote LLM server")] - [Remote] public string host = "localhost"; + [Remote, SerializeField] protected string _host = "localhost"; + public string host + { + get => _host; + set { if (_host != value) { _host = value; SetupLLMClient(); } } + } /// port of the remote LLM server [Tooltip("port of the remote LLM server")] - [Remote] public int port = 13333; - /// number of retries to use for the remote LLM server requests (-1 = infinite) - [Tooltip("number of retries to use for the remote LLM server requests (-1 = infinite)")] - [Remote] public int numRetries = 10; + [Remote, SerializeField] protected int _port; + public int port + { + get => _port; + set { if (_port != value) { _port = value; SetupLLMClient(); } } + } + /// grammar used by the LLM + [Tooltip("grammar used by the LLM")] + [ModelAdvanced, SerializeField] protected string _grammar; + public string grammar + { + get => _grammar; + set => SetGrammar(value); + } /// maximum number of tokens that the LLM will predict (-1 = infinity). [Tooltip("maximum number of tokens that the LLM will predict (-1 = infinity).")] [Model] public int numPredict = -1; - /// grammar used by the LLM - [Tooltip("grammar used by the LLM")] - [ModelAdvanced] public string grammar = null; /// cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!) [Tooltip("cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!)")] [ModelAdvanced] public bool cachePrompt = true; @@ -103,14 +125,6 @@ public LLM llm /// ignore end of stream token and continue generating. [Tooltip("ignore end of stream token and continue generating.")] [ModelAdvanced] public bool ignoreEos = false; - /// the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. - /// By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated. - // [Tooltip("the logit bias option allows to manually adjust the likelihood of specific tokens appearing in the generated text. By providing a token ID and a positive or negative bias value, you can increase or decrease the probability of that token being generated.")] - // public Dictionary logitBias = null; - /// Receive the reply from the model as it is produced (recommended!). - /// If not selected, the full reply from the model is received in one go - [Tooltip("Receive the reply from the model as it is produced (recommended!). If not selected, the full reply from the model is received in one go")] - [Chat] public bool stream = true; protected LLM _prellm; [Local, SerializeField] protected UndreamAI.LlamaLib.LLMClient _llmClient; @@ -162,7 +176,6 @@ protected virtual void SetupLLMClient() else llmClient = new UndreamAI.LlamaLib.LLMClient(host, port, APIKey); SetGrammar(grammar); completionParametersPre = ""; - SetCompletionParameters(); } protected virtual LLMLocal GetCaller() @@ -176,16 +189,12 @@ protected virtual LLMLocal GetCaller() /// LLM object protected virtual void SetLLM(LLM llmSet) { + if (llmSet == _llm) return; if (remote) { LLMUnitySetup.LogError("The client is in remote mode"); return; } - if (llmSet != null && !IsValidLLM(llmSet)) - { - LLMUnitySetup.LogError(NotValidLLMError()); - llmSet = null; - } _llm = llmSet; _prellm = _llm; if (started) SetupLLMClient(); @@ -196,16 +205,6 @@ protected virtual void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientSet) _llmClient = llmClientSet; } - /// - /// Checks if a LLM is valid for the LLMClient - /// - /// LLM object - /// bool specifying whether the LLM is valid - public virtual bool IsValidLLM(LLM llmSet) - { - return true; - } - /// /// Checks if a LLM can be auto-assigned if the LLM of the LLMClient is null /// @@ -216,11 +215,6 @@ public virtual bool IsAutoAssignableLLM(LLM llmSet) return true; } - protected virtual string NotValidLLMError() - { - return $"Can't set LLM {llm.name} to {name}"; - } - protected virtual void OnValidate() { if (_llm != _prellm) SetLLM(_llm); @@ -243,7 +237,7 @@ protected virtual void AssignLLM() foreach (LLM foundllm in FindObjectsOfType()) #endif { - if (IsValidLLM(foundllm) && IsAutoAssignableLLM(foundllm)) validLLMs.Add(foundllm); + if (IsAutoAssignableLLM(foundllm)) validLLMs.Add(foundllm); } if (validLLMs.Count == 0) return; @@ -351,6 +345,13 @@ public virtual List Embeddings(string query, Callback> callba protected virtual void SetCompletionParameters() { + if (llm.embeddingsOnly) + { + string error = "LLM can't be used for completion, it is an embeddings only model!"; + LLMUnitySetup.LogError(error); + throw new Exception(error); + } + JObject json = new JObject { ["temperature"] = temperature, diff --git a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs index f779ae2e..42311c02 100644 --- a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs +++ b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs @@ -135,7 +135,7 @@ protected override void DropdownChange(int selection) Debug.Log($"{currentBotName}: {rag.Count(currentBotName)} phrases available"); // set the LLMCharacter name - llmCharacter.AIName = currentBotName; + llmCharacter.assistantRole = currentBotName; } void SetAIText(string text) From 958f8b9e4151e8fe9f08b4bbf2fdec1e447f4db2 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 18 Aug 2025 18:08:41 +0300 Subject: [PATCH 17/69] remove not needed classes --- ...Editor.cs.meta => LLMClientEditor.cs.meta} | 2 +- README.md | 64 +- Runtime/LLMCharacter.cs | 14 - Runtime/LLMCharacter.cs.meta | 11 - Runtime/LLMLib.cs | 734 ------------------ Runtime/LLMLib.cs.meta | 11 - Samples~/ChatBot/ChatBot.cs | 14 +- Samples~/FunctionCalling/FunctionCalling.cs | 12 +- .../KnowledgeBaseGame/KnowledgeBaseGame.cs | 14 +- Samples~/MobileDemo/MobileDemo.cs | 14 +- .../MultipleCharacters/MultipleCharacters.cs | 12 +- Samples~/RAG/RAGAndLLM_Sample.cs | 8 +- .../SimpleInteraction/SimpleInteraction.cs | 10 +- Tests/Runtime/TestLLM.cs | 106 +-- 14 files changed, 128 insertions(+), 898 deletions(-) rename Editor/{LLMCallerEditor.cs.meta => LLMClientEditor.cs.meta} (83%) delete mode 100644 Runtime/LLMCharacter.cs delete mode 100644 Runtime/LLMCharacter.cs.meta delete mode 100644 Runtime/LLMLib.cs delete mode 100644 Runtime/LLMLib.cs.meta diff --git a/Editor/LLMCallerEditor.cs.meta b/Editor/LLMClientEditor.cs.meta similarity index 83% rename from Editor/LLMCallerEditor.cs.meta rename to Editor/LLMClientEditor.cs.meta index 113bed10..a8c8d2fc 100644 --- a/Editor/LLMCallerEditor.cs.meta +++ b/Editor/LLMClientEditor.cs.meta @@ -1,5 +1,5 @@ fileFormatVersion: 2 -guid: 7d6ebb9c97f8c2e959bbdb536ee13ec5 +guid: 5a933780afd25b58aa243136435108ec MonoImporter: externalObjects: {} serializedVersion: 2 diff --git a/README.md b/README.md index 03782890..b108a329 100644 --- a/README.md +++ b/README.md @@ -93,7 +93,7 @@ First you will setup the LLM for your game 🏎: - Download one of the default models with the `Download Model` button (~GBs).
Or load your own .gguf model with the `Load model` button (see [LLM model management](#llm-model-management)). Then you can setup each of your characters as follows 🙋‍♀️: -- Create an empty GameObject for the character.
In the GameObject Inspector click `Add Component` and select the LLMCharacter script. +- Create an empty GameObject for the character.
In the GameObject Inspector click `Add Component` and select the LLMAgent script. - Define the role of your AI in the `Prompt`. You can define the name of the AI (`AI Name`) and the player (`Player Name`). - (Optional) Select the LLM constructed above in the `LLM` field if you have more than one LLM GameObjects. @@ -104,7 +104,7 @@ In your script you can then use it as follows 🦄: using LLMUnity; public class MyScript { - public LLMCharacter llmCharacter; + public LLMAgent llmAgent; void HandleReply(string reply){ // do something with the reply from the model @@ -115,7 +115,7 @@ public class MyScript { // your game function ... string message = "Hello bot!"; - _ = llmCharacter.Chat(message, HandleReply); + _ = llmAgent.Chat(message, HandleReply); ... } } @@ -132,17 +132,17 @@ This is useful if the `Stream` option is enabled for continuous output from the // your game function ... string message = "Hello bot!"; - _ = llmCharacter.Chat(message, HandleReply, ReplyCompleted); + _ = llmAgent.Chat(message, HandleReply, ReplyCompleted); ... } ``` To stop the chat without waiting for its completion you can use: ``` c# - llmCharacter.CancelRequests(); + llmAgent.CancelRequests(); ``` -- Finally, in the Inspector of the GameObject of your script, select the LLMCharacter GameObject created above as the llmCharacter property. +- Finally, in the Inspector of the GameObject of your script, select the LLMAgent GameObject created above as the llmAgent property. That's all ✨!

@@ -185,17 +185,17 @@ The [MobileDemo](Samples~/MobileDemo) is an example application for Android / iO Restrict the output of the LLM / Function calling To restrict the output of the LLM you can use a grammar, read more [here](https://github.com/ggerganov/llama.cpp/tree/master/grammars).
-The grammar can be saved in a .gbnf file and loaded at the LLMCharacter with the `Load Grammar` button (Advanced options).
+The grammar can be saved in a .gbnf file and loaded at the LLMAgent with the `Load Grammar` button (Advanced options).
For instance to receive replies in json format you can use the [json.gbnf](https://github.com/ggerganov/llama.cpp/blob/b4218/grammars/json.gbnf) grammar.
Graamars in JSON schema format are also supported and can be loaded with the `Load JSON Grammar` button (Advanced options).
Alternatively you can set the grammar directly with code: ``` c# // GBNF grammar -llmCharacter.grammarString = "your GBNF grammar here"; +llmAgent.grammarString = "your GBNF grammar here"; // or JSON schema grammar -llmCharacter.grammarJSONString = "your JSON schema grammar here"; +llmAgent.grammarJSONString = "your JSON schema grammar here"; ``` For function calling you can define similarly a grammar that allows only the function names as output, and then call the respective function.
@@ -204,22 +204,22 @@ You can look into the [FunctionCalling](Samples~/FunctionCalling) sample for an
Access / Save / Load your chat history -The chat history of a `LLMCharacter` is retained in the `chat` variable that is a list of `ChatMessage` objects.
+The chat history of a `LLMAgent` is retained in the `chat` variable that is a list of `ChatMessage` objects.
The ChatMessage is a struct that defines the `role` of the message and the `content`.
The first element of the list is always the system prompt and then alternating messages with the player prompt and the AI reply.
You can modify the chat history directly in this list.
-To automatically save / load your chat history, you can specify the `Save` parameter of the LLMCharacter to the filename (or relative path) of your choice. +To automatically save / load your chat history, you can specify the `Save` parameter of the LLMAgent to the filename (or relative path) of your choice. The file is saved in the [persistentDataPath folder of Unity](https://docs.unity3d.com/ScriptReference/Application-persistentDataPath.html). This also saves the state of the LLM which means that the previously cached prompt does not need to be recomputed. To manually save your chat history, you can use: ``` c# - llmCharacter.Save("filename"); + llmAgent.Save("filename"); ``` and to load the history: ``` c# - llmCharacter.Load("filename"); + llmAgent.Load("filename"); ``` where filename the filename or relative path of your choice. @@ -236,7 +236,7 @@ where filename the filename or relative path of your choice. void Game(){ // your game function ... - _ = llmCharacter.Warmup(WarmupCompleted); + _ = llmAgent.Warmup(WarmupCompleted); ... } ``` @@ -251,7 +251,7 @@ where filename the filename or relative path of your choice. // your game function ... string message = "Hello bot!"; - _ = llmCharacter.Chat(message, HandleReply, ReplyCompleted, false); + _ = llmAgent.Chat(message, HandleReply, ReplyCompleted, false); ... } ``` @@ -265,7 +265,7 @@ where filename the filename or relative path of your choice. // your game function ... string message = "The cat is away"; - _ = llmCharacter.Complete(message, HandleReply, ReplyCompleted); + _ = llmAgent.Complete(message, HandleReply, ReplyCompleted); ... } ``` @@ -280,7 +280,7 @@ where filename the filename or relative path of your choice. // your game function ... string message = "Hello bot!"; - string reply = await llmCharacter.Chat(message, HandleReply, ReplyCompleted); + string reply = await llmAgent.Chat(message, HandleReply, ReplyCompleted); Debug.Log(reply); ... } @@ -288,7 +288,7 @@ where filename the filename or relative path of your choice.
-Add a LLM / LLMCharacter component programmatically +Add a LLM / LLMAgent component programmatically ``` c# using UnityEngine; @@ -297,7 +297,7 @@ using LLMUnity; public class MyScript : MonoBehaviour { LLM llm; - LLMCharacter llmCharacter; + LLMAgent llmAgent; async void Start() { @@ -321,23 +321,23 @@ public class MyScript : MonoBehaviour // optional: enable GPU by setting the number of model layers to offload to it llm.numGPULayers = 10; - // Add an LLMCharacter object - llmCharacter = gameObject.AddComponent(); + // Add an LLMAgent object + llmAgent = gameObject.AddComponent(); // set the LLM object that handles the model - llmCharacter.llm = llm; + llmAgent.llm = llm; // set the character prompt - llmCharacter.SetPrompt("A chat between a curious human and an artificial intelligence assistant."); + llmAgent.SetPrompt("A chat between a curious human and an artificial intelligence assistant."); // set the AI and player name - llmCharacter.assistantRole = "AI"; - llmCharacter.userRole = "Human"; + llmAgent.assistantRole = "AI"; + llmAgent.userRole = "Human"; // optional: set streaming to false to get the complete result in one go - // llmCharacter.stream = true; + // llmAgent.stream = true; // optional: set a save path - // llmCharacter.save = "AICharacter1"; + // llmAgent.save = "AICharacter1"; // optional: enable the save cache to avoid recomputation when loading a save file (requires ~100 MB) - // llmCharacter.saveCache = true; + // llmAgent.saveCache = true; // optional: set a grammar - // await llmCharacter.SetGrammar("json.gbnf"); + // await llmAgent.SetGrammar("json.gbnf"); // re-enable gameObject gameObject.SetActive(true); @@ -366,7 +366,7 @@ Alternatively you can use a server binary for easier deployment: In both cases you'll need to enable 'Allow Downloads Over HTTP' in the project settings. **Create the characters**
-Create a second project with the game characters using the `LLMCharacter` script as described above. +Create a second project with the game characters using the `LLMAgent` script as described above. Enable the `Remote` option and configure the host with the IP address (starting with "http://") and port of the server.
@@ -375,7 +375,7 @@ Enable the `Remote` option and configure the host with the IP address (starting The `Embeddings` function can be used to obtain the emdeddings of a phrase: ``` c# - List embeddings = await llmCharacter.Embeddings("hi, how are you?"); + List embeddings = await llmAgent.Embeddings("hi, how are you?"); ``` @@ -460,7 +460,7 @@ You can use the RAG to feed relevant data to the LLM based on a user message: prompt += $"Data:\n"; foreach (string similarPhrase in similarPhrases) prompt += $"\n- {similarPhrase}"; - _ = llmCharacter.Chat(prompt, HandleReply, ReplyCompleted); + _ = llmAgent.Chat(prompt, HandleReply, ReplyCompleted); ``` The `RAG` sample includes an example RAG implementation as well as an example RAG-LLM integration. diff --git a/Runtime/LLMCharacter.cs b/Runtime/LLMCharacter.cs deleted file mode 100644 index 93f02fce..00000000 --- a/Runtime/LLMCharacter.cs +++ /dev/null @@ -1,14 +0,0 @@ -/// @file -/// @brief File implementing the LLM characters. -using UnityEngine; - -namespace LLMUnity -{ - [DefaultExecutionOrder(-2)] - /// @ingroup llm - /// - /// Class implementing the LLM characters. - /// - public class LLMCharacter : LLMUnity.LLMAgent - {} -} diff --git a/Runtime/LLMCharacter.cs.meta b/Runtime/LLMCharacter.cs.meta deleted file mode 100644 index bfe1cd03..00000000 --- a/Runtime/LLMCharacter.cs.meta +++ /dev/null @@ -1,11 +0,0 @@ -fileFormatVersion: 2 -guid: 3f6c87a428fd5d0be9bbc686bdc8c3c2 -MonoImporter: - externalObjects: {} - serializedVersion: 2 - defaultReferences: [] - executionOrder: 0 - icon: {instanceID: 0} - userData: - assetBundleName: - assetBundleVariant: diff --git a/Runtime/LLMLib.cs b/Runtime/LLMLib.cs deleted file mode 100644 index 64e547e1..00000000 --- a/Runtime/LLMLib.cs +++ /dev/null @@ -1,734 +0,0 @@ -/// @file -/// @brief File implementing the LLM library calls. -/// \cond HIDE -using System; -using System.Collections.Generic; -using System.IO; -using System.Runtime.InteropServices; -using UnityEngine; - -namespace LLMUnity -{ - /// @ingroup utils - /// - /// Class implementing a wrapper for a communication stream between Unity and the llama.cpp library (mainly for completion calls and logging). - /// - public class StreamWrapper - { - LLMLib llmlib; - Callback callback; - IntPtr stringWrapper; - string previousString = ""; - string previousCalledString = ""; - int previousBufferSize = 0; - bool clearOnUpdate; - - public StreamWrapper(LLMLib llmlib, Callback callback, bool clearOnUpdate = false) - { - this.llmlib = llmlib; - this.callback = callback; - this.clearOnUpdate = clearOnUpdate; - stringWrapper = (llmlib?.StringWrapper_Construct()).GetValueOrDefault(); - } - - /// - /// Retrieves the content of the stream - /// - /// whether to clear the stream after retrieving the content - /// stream content - public string GetString(bool clear = false) - { - string result; - int bufferSize = (llmlib?.StringWrapper_GetStringSize(stringWrapper)).GetValueOrDefault(); - if (bufferSize <= 1) - { - result = ""; - } - else if (previousBufferSize != bufferSize) - { - IntPtr buffer = Marshal.AllocHGlobal(bufferSize); - try - { - llmlib?.StringWrapper_GetString(stringWrapper, buffer, bufferSize, clear); - result = Marshal.PtrToStringAnsi(buffer); - } - finally - { - Marshal.FreeHGlobal(buffer); - } - previousString = result; - } - else - { - result = previousString; - } - previousBufferSize = bufferSize; - return result; - } - - /// - /// Unity Update implementation that retrieves the content and calls the callback if it has changed. - /// - public void Update() - { - if (stringWrapper == IntPtr.Zero) return; - string result = GetString(clearOnUpdate); - if (result != "" && previousCalledString != result) - { - callback?.Invoke(result); - previousCalledString = result; - } - } - - /// - /// Gets the stringWrapper object to pass to the library. - /// - /// stringWrapper object - public IntPtr GetStringWrapper() - { - return stringWrapper; - } - - /// - /// Deletes the stringWrapper object. - /// - public void Destroy() - { - if (stringWrapper != IntPtr.Zero) llmlib?.StringWrapper_Delete(stringWrapper); - } - } - - /// @ingroup utils - /// - /// Class implementing a library loader for Unity. - /// Adapted from SkiaForUnity: - /// https://github.com/ammariqais/SkiaForUnity/blob/f43322218c736d1c41f3a3df9355b90db4259a07/SkiaUnity/Assets/SkiaSharp/SkiaSharp-Bindings/SkiaSharp.HarfBuzz.Shared/HarfBuzzSharp.Shared/LibraryLoader.cs - /// - static class LibraryLoader - { - /// - /// Allows to retrieve a function delegate for the library - /// - /// type to cast the function - /// library handle - /// function name - /// function delegate - public static T GetSymbolDelegate(IntPtr library, string name) where T : Delegate - { - var symbol = GetSymbol(library, name); - if (symbol == IntPtr.Zero) - throw new EntryPointNotFoundException($"Unable to load symbol '{name}'."); - - return Marshal.GetDelegateForFunctionPointer(symbol); - } - - /// - /// Loads the provided library in a cross-platform manner - /// - /// library path - /// library handle - public static IntPtr LoadLibrary(string libraryName) - { - if (string.IsNullOrEmpty(libraryName)) - throw new ArgumentNullException(nameof(libraryName)); - - IntPtr handle; - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) - handle = Win32.LoadLibrary(libraryName); - else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) - handle = Linux.dlopen(libraryName); - else if (Application.platform == RuntimePlatform.OSXEditor || Application.platform == RuntimePlatform.OSXPlayer || Application.platform == RuntimePlatform.OSXServer) - handle = Mac.dlopen(libraryName); - else if (Application.platform == RuntimePlatform.Android || Application.platform == RuntimePlatform.IPhonePlayer || Application.platform == RuntimePlatform.VisionOS) - handle = Mobile.dlopen(libraryName); - else - throw new PlatformNotSupportedException($"Current platform is unknown, unable to load library '{libraryName}'."); - - return handle; - } - - /// - /// Retrieve a function delegate for the library in a cross-platform manner - /// - /// library handle - /// function name - /// function handle - public static IntPtr GetSymbol(IntPtr library, string symbolName) - { - if (string.IsNullOrEmpty(symbolName)) - throw new ArgumentNullException(nameof(symbolName)); - - IntPtr handle; - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) - handle = Win32.GetProcAddress(library, symbolName); - else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) - handle = Linux.dlsym(library, symbolName); - else if (Application.platform == RuntimePlatform.OSXEditor || Application.platform == RuntimePlatform.OSXPlayer || Application.platform == RuntimePlatform.OSXServer) - handle = Mac.dlsym(library, symbolName); - else if (Application.platform == RuntimePlatform.Android || Application.platform == RuntimePlatform.IPhonePlayer || Application.platform == RuntimePlatform.VisionOS) - handle = Mobile.dlsym(library, symbolName); - else - throw new PlatformNotSupportedException($"Current platform is unknown, unable to load symbol '{symbolName}' from library {library}."); - - return handle; - } - - /// - /// Frees up the library - /// - /// library handle - public static void FreeLibrary(IntPtr library) - { - if (library == IntPtr.Zero) - return; - - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) - Win32.FreeLibrary(library); - else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) - Linux.dlclose(library); - else if (Application.platform == RuntimePlatform.OSXEditor || Application.platform == RuntimePlatform.OSXPlayer || Application.platform == RuntimePlatform.OSXServer) - Mac.dlclose(library); - else if (Application.platform == RuntimePlatform.Android || Application.platform == RuntimePlatform.IPhonePlayer || Application.platform == RuntimePlatform.VisionOS) - Mobile.dlclose(library); - else - throw new PlatformNotSupportedException($"Current platform is unknown, unable to close library '{library}'."); - } - - private static class Mac - { - private const string SystemLibrary = "/usr/lib/libSystem.dylib"; - - private const int RTLD_LAZY = 1; - private const int RTLD_NOW = 2; - - public static IntPtr dlopen(string path, bool lazy = true) => - dlopen(path, lazy ? RTLD_LAZY : RTLD_NOW); - - [DllImport(SystemLibrary)] - public static extern IntPtr dlopen(string path, int mode); - - [DllImport(SystemLibrary)] - public static extern IntPtr dlsym(IntPtr handle, string symbol); - - [DllImport(SystemLibrary)] - public static extern void dlclose(IntPtr handle); - } - - private static class Linux - { - private const string SystemLibrary = "libdl.so"; - private const string SystemLibrary2 = "libdl.so.2"; // newer Linux distros use this - - private const int RTLD_LAZY = 1; - private const int RTLD_NOW = 2; - - private static bool UseSystemLibrary2 = true; - - public static IntPtr dlopen(string path, bool lazy = true) - { - try - { - return dlopen2(path, lazy ? RTLD_LAZY : RTLD_NOW); - } - catch (DllNotFoundException) - { - UseSystemLibrary2 = false; - return dlopen1(path, lazy ? RTLD_LAZY : RTLD_NOW); - } - } - - public static IntPtr dlsym(IntPtr handle, string symbol) - { - return UseSystemLibrary2 ? dlsym2(handle, symbol) : dlsym1(handle, symbol); - } - - public static void dlclose(IntPtr handle) - { - if (UseSystemLibrary2) - dlclose2(handle); - else - dlclose1(handle); - } - - [DllImport(SystemLibrary, EntryPoint = "dlopen")] - private static extern IntPtr dlopen1(string path, int mode); - - [DllImport(SystemLibrary, EntryPoint = "dlsym")] - private static extern IntPtr dlsym1(IntPtr handle, string symbol); - - [DllImport(SystemLibrary, EntryPoint = "dlclose")] - private static extern void dlclose1(IntPtr handle); - - [DllImport(SystemLibrary2, EntryPoint = "dlopen")] - private static extern IntPtr dlopen2(string path, int mode); - - [DllImport(SystemLibrary2, EntryPoint = "dlsym")] - private static extern IntPtr dlsym2(IntPtr handle, string symbol); - - [DllImport(SystemLibrary2, EntryPoint = "dlclose")] - private static extern void dlclose2(IntPtr handle); - } - - private static class Win32 - { - private const string SystemLibrary = "Kernel32.dll"; - - [DllImport(SystemLibrary, SetLastError = true, CharSet = CharSet.Ansi)] - public static extern IntPtr LoadLibrary(string lpFileName); - - [DllImport(SystemLibrary, SetLastError = true, CharSet = CharSet.Ansi)] - public static extern IntPtr GetProcAddress(IntPtr hModule, string lpProcName); - - [DllImport(SystemLibrary, SetLastError = true, CharSet = CharSet.Ansi)] - public static extern void FreeLibrary(IntPtr hModule); - } - - private static class Mobile - { - public static IntPtr dlopen(string path) => dlopen(path, 1); - -#if UNITY_ANDROID || UNITY_IOS || UNITY_VISIONOS - [DllImport("__Internal")] - public static extern IntPtr dlopen(string filename, int flags); - - [DllImport("__Internal")] - public static extern IntPtr dlsym(IntPtr handle, string symbol); - - [DllImport("__Internal")] - public static extern int dlclose(IntPtr handle); -#else - public static IntPtr dlopen(string filename, int flags) - { - return default; - } - - public static IntPtr dlsym(IntPtr handle, string symbol) - { - return default; - } - - public static int dlclose(IntPtr handle) - { - return default; - } - -#endif - } - } - - /// @ingroup utils - /// - /// Class implementing the LLM library handling - /// - public class LLMLib - { - public string architecture { get; private set; } - IntPtr libraryHandle = IntPtr.Zero; - static bool has_avx = false; - static bool has_avx2 = false; - static bool has_avx512 = false; - List dependencyHandles = new List(); - -#if (UNITY_ANDROID || UNITY_IOS || UNITY_VISIONOS) && !UNITY_EDITOR - - public LLMLib(string arch) - { - architecture = arch; - } - -#if UNITY_ANDROID - public const string LibraryName = "libundreamai_android"; -#else - public const string LibraryName = "__Internal"; -#endif - - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "Logging")] - public static extern void LoggingStatic(IntPtr stringWrapper); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "StopLogging")] - public static extern void StopLoggingStatic(); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Construct")] - public static extern IntPtr LLM_ConstructStatic(string command); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Delete")] - public static extern void LLM_DeleteStatic(IntPtr LLMObject); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_StartServer")] - public static extern void LLM_StartServerStatic(IntPtr LLMObject); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_StopServer")] - public static extern void LLM_StopServerStatic(IntPtr LLMObject); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Start")] - public static extern void LLM_StartStatic(IntPtr LLMObject); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Started")] - public static extern bool LLM_StartedStatic(IntPtr LLMObject); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Stop")] - public static extern void LLM_StopStatic(IntPtr LLMObject); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_SetTemplate")] - public static extern void LLM_SetTemplateStatic(IntPtr LLMObject, string chatTemplate); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_SetSSL")] - public static extern void LLM_SetSSLStatic(IntPtr LLMObject, string SSLCert, string SSLKey); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Tokenize")] - public static extern void LLM_TokenizeStatic(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Detokenize")] - public static extern void LLM_DetokenizeStatic(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Embeddings")] - public static extern void LLM_EmbeddingsStatic(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Lora_Weight")] - public static extern void LLM_LoraWeightStatic(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Lora_List")] - public static extern void LLM_LoraListStatic(IntPtr LLMObject, IntPtr stringWrapper); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Completion")] - public static extern void LLM_CompletionStatic(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Slot")] - public static extern void LLM_SlotStatic(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Cancel")] - public static extern void LLM_CancelStatic(IntPtr LLMObject, int idSlot); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Status")] - public static extern int LLM_StatusStatic(IntPtr LLMObject, IntPtr stringWrapper); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "StringWrapper_Construct")] - public static extern IntPtr StringWrapper_ConstructStatic(); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "StringWrapper_Delete")] - public static extern void StringWrapper_DeleteStatic(IntPtr instance); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "StringWrapper_GetStringSize")] - public static extern int StringWrapper_GetStringSizeStatic(IntPtr instance); - [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "StringWrapper_GetString")] - public static extern void StringWrapper_GetStringStatic(IntPtr instance, IntPtr buffer, int bufferSize, bool clear = false); - - public void Logging(IntPtr stringWrapper) { LoggingStatic(stringWrapper); } - public void StopLogging() { StopLoggingStatic(); } - public IntPtr LLM_Construct(string command) { return LLM_ConstructStatic(command); } - public void LLM_Delete(IntPtr LLMObject) { LLM_DeleteStatic(LLMObject); } - public void LLM_StartServer(IntPtr LLMObject) { LLM_StartServerStatic(LLMObject); } - public void LLM_StopServer(IntPtr LLMObject) { LLM_StopServerStatic(LLMObject); } - public void LLM_Start(IntPtr LLMObject) { LLM_StartStatic(LLMObject); } - public bool LLM_Started(IntPtr LLMObject) { return LLM_StartedStatic(LLMObject); } - public void LLM_Stop(IntPtr LLMObject) { LLM_StopStatic(LLMObject); } - public void LLM_SetTemplate(IntPtr LLMObject, string chatTemplate) { LLM_SetTemplateStatic(LLMObject, chatTemplate); } - public void LLM_SetSSL(IntPtr LLMObject, string SSLCert, string SSLKey) { LLM_SetSSLStatic(LLMObject, SSLCert, SSLKey); } - public void LLM_Tokenize(IntPtr LLMObject, string jsonData, IntPtr stringWrapper) { LLM_TokenizeStatic(LLMObject, jsonData, stringWrapper); } - public void LLM_Detokenize(IntPtr LLMObject, string jsonData, IntPtr stringWrapper) { LLM_DetokenizeStatic(LLMObject, jsonData, stringWrapper); } - public void LLM_Embeddings(IntPtr LLMObject, string jsonData, IntPtr stringWrapper) { LLM_EmbeddingsStatic(LLMObject, jsonData, stringWrapper); } - public void LLM_LoraWeight(IntPtr LLMObject, string jsonData, IntPtr stringWrapper) { LLM_LoraWeightStatic(LLMObject, jsonData, stringWrapper); } - public void LLM_LoraList(IntPtr LLMObject, IntPtr stringWrapper) { LLM_LoraListStatic(LLMObject, stringWrapper); } - public void LLM_Completion(IntPtr LLMObject, string jsonData, IntPtr stringWrapper) { LLM_CompletionStatic(LLMObject, jsonData, stringWrapper); } - public void LLM_Slot(IntPtr LLMObject, string jsonData, IntPtr stringWrapper) { LLM_SlotStatic(LLMObject, jsonData, stringWrapper); } - public void LLM_Cancel(IntPtr LLMObject, int idSlot) { LLM_CancelStatic(LLMObject, idSlot); } - public int LLM_Status(IntPtr LLMObject, IntPtr stringWrapper) { return LLM_StatusStatic(LLMObject, stringWrapper); } - public IntPtr StringWrapper_Construct() { return StringWrapper_ConstructStatic(); } - public void StringWrapper_Delete(IntPtr instance) { StringWrapper_DeleteStatic(instance); } - public int StringWrapper_GetStringSize(IntPtr instance) { return StringWrapper_GetStringSizeStatic(instance); } - public void StringWrapper_GetString(IntPtr instance, IntPtr buffer, int bufferSize, bool clear = false) { StringWrapper_GetStringStatic(instance, buffer, bufferSize, clear); } - -#else - - static bool has_avx_set = false; - static readonly object staticLock = new object(); - - static LLMLib() - { - lock (staticLock) - { - if (has_avx_set) return; - string archCheckerPath = GetArchitectureCheckerPath(); - if (archCheckerPath != null) - { - IntPtr archCheckerHandle = LibraryLoader.LoadLibrary(archCheckerPath); - if (archCheckerHandle == IntPtr.Zero) - { - LLMUnitySetup.LogError($"Failed to load library {archCheckerPath}."); - } - else - { - try - { - has_avx = LibraryLoader.GetSymbolDelegate(archCheckerHandle, "has_avx")(); - has_avx2 = LibraryLoader.GetSymbolDelegate(archCheckerHandle, "has_avx2")(); - has_avx512 = LibraryLoader.GetSymbolDelegate(archCheckerHandle, "has_avx512")(); - LibraryLoader.FreeLibrary(archCheckerHandle); - } - catch (Exception e) - { - LLMUnitySetup.LogError($"{e.GetType()}: {e.Message}"); - } - } - } - has_avx_set = true; - } - } - - /// - /// Loads the library and function handles for the defined architecture - /// - /// archtecture - /// - public LLMLib(string arch) - { - architecture = arch; - foreach (string dependency in GetArchitectureDependencies(arch)) - { - LLMUnitySetup.Log($"Loading {dependency}"); - dependencyHandles.Add(LibraryLoader.LoadLibrary(dependency)); - } - - libraryHandle = LibraryLoader.LoadLibrary(GetArchitecturePath(arch)); - if (libraryHandle == IntPtr.Zero) - { - throw new Exception($"Failed to load library {arch}."); - } - - LLM_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Construct"); - LLM_Delete = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Delete"); - LLM_StartServer = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_StartServer"); - LLM_StopServer = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_StopServer"); - LLM_Start = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Start"); - LLM_Started = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Started"); - LLM_Stop = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Stop"); - LLM_SetTemplate = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_SetTemplate"); - LLM_SetSSL = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_SetSSL"); - LLM_Tokenize = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Tokenize"); - LLM_Detokenize = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Detokenize"); - LLM_Embeddings = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Embeddings"); - LLM_LoraWeight = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Lora_Weight"); - LLM_LoraList = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Lora_List"); - LLM_Completion = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Completion"); - LLM_Slot = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Slot"); - LLM_Cancel = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Cancel"); - LLM_Status = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Status"); - StringWrapper_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "StringWrapper_Construct"); - StringWrapper_Delete = LibraryLoader.GetSymbolDelegate(libraryHandle, "StringWrapper_Delete"); - StringWrapper_GetStringSize = LibraryLoader.GetSymbolDelegate(libraryHandle, "StringWrapper_GetStringSize"); - StringWrapper_GetString = LibraryLoader.GetSymbolDelegate(libraryHandle, "StringWrapper_GetString"); - Logging = LibraryLoader.GetSymbolDelegate(libraryHandle, "Logging"); - StopLogging = LibraryLoader.GetSymbolDelegate(libraryHandle, "StopLogging"); - } - - /// - /// Gets the path of a library that allows to detect the underlying CPU (Windows / Linux). - /// - /// architecture checker library path - public static string GetArchitectureCheckerPath() - { - string filename; - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) - { - filename = "win-x64/native/llamalib_win-x64_runtime.dll"; - } - else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) - { - filename = "linux-x64/native/libllamalib_linux-x64_runtime.so"; - } - else - { - return null; - } - return Path.Combine(LLMUnitySetup.libraryPath, filename); - } - - /// - /// Gets additional dependencies for the specified architecture. - /// - /// architecture - /// paths of dependency dlls - public static List GetArchitectureDependencies(string arch) - { - List dependencies = new List(); - if (arch == "cublas") - { - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) - { - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "win-x64/native/cudart64_12.dll")); - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "win-x64/native/cublasLt64_12.dll")); - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "win-x64/native/cublas64_12.dll")); - } - } - else if (arch == "vulkan") - { - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) - { - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "win-x64/native/vulkan-1.dll")); - } - else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) - { - dependencies.Add(Path.Combine(LLMUnitySetup.libraryPath, "linux-x64/native/libvulkan.so.1")); - } - } - return dependencies; - } - - /// - /// Gets the path of the llama.cpp library for the specified architecture. - /// - /// architecture - /// llama.cpp library path - public static string GetArchitecturePath(string arch) - { - string filename; - string os = OSName(); - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) - { - filename = $"{os}/native/llamalib_${os}_{arch}.dll"; - } - else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) - { - filename = $"{os}/native/libllamalib_${os}_{arch}.so"; - } - else if (Application.platform == RuntimePlatform.OSXEditor || Application.platform == RuntimePlatform.OSXPlayer || Application.platform == RuntimePlatform.OSXServer) - { - filename = $"{os}/native/libllamalib_${os}_{arch}.dylib"; - } - else - { - string error = "Unknown OS"; - LLMUnitySetup.LogError(error); - throw new Exception(error); - } - return Path.Combine(LLMUnitySetup.libraryPath, filename); - } - - public delegate bool HasArchDelegate(); - public delegate void LoggingDelegate(IntPtr stringWrapper); - public delegate void StopLoggingDelegate(); - public delegate IntPtr LLM_ConstructDelegate(string command); - public delegate void LLM_DeleteDelegate(IntPtr LLMObject); - public delegate void LLM_StartServerDelegate(IntPtr LLMObject); - public delegate void LLM_StopServerDelegate(IntPtr LLMObject); - public delegate void LLM_StartDelegate(IntPtr LLMObject); - public delegate bool LLM_StartedDelegate(IntPtr LLMObject); - public delegate void LLM_StopDelegate(IntPtr LLMObject); - public delegate void LLM_SetTemplateDelegate(IntPtr LLMObject, string chatTemplate); - public delegate void LLM_SetSSLDelegate(IntPtr LLMObject, string SSLCert, string SSLKey); - public delegate void LLM_TokenizeDelegate(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - public delegate void LLM_DetokenizeDelegate(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - public delegate void LLM_EmbeddingsDelegate(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - public delegate void LLM_LoraWeightDelegate(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - public delegate void LLM_LoraListDelegate(IntPtr LLMObject, IntPtr stringWrapper); - public delegate void LLM_CompletionDelegate(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - public delegate void LLM_SlotDelegate(IntPtr LLMObject, string jsonData, IntPtr stringWrapper); - public delegate void LLM_CancelDelegate(IntPtr LLMObject, int idSlot); - public delegate int LLM_StatusDelegate(IntPtr LLMObject, IntPtr stringWrapper); - public delegate IntPtr StringWrapper_ConstructDelegate(); - public delegate void StringWrapper_DeleteDelegate(IntPtr instance); - public delegate int StringWrapper_GetStringSizeDelegate(IntPtr instance); - public delegate void StringWrapper_GetStringDelegate(IntPtr instance, IntPtr buffer, int bufferSize, bool clear = false); - - public LoggingDelegate Logging; - public StopLoggingDelegate StopLogging; - public LLM_ConstructDelegate LLM_Construct; - public LLM_DeleteDelegate LLM_Delete; - public LLM_StartServerDelegate LLM_StartServer; - public LLM_StopServerDelegate LLM_StopServer; - public LLM_StartDelegate LLM_Start; - public LLM_StartedDelegate LLM_Started; - public LLM_StopDelegate LLM_Stop; - public LLM_SetTemplateDelegate LLM_SetTemplate; - public LLM_SetSSLDelegate LLM_SetSSL; - public LLM_TokenizeDelegate LLM_Tokenize; - public LLM_DetokenizeDelegate LLM_Detokenize; - public LLM_CompletionDelegate LLM_Completion; - public LLM_EmbeddingsDelegate LLM_Embeddings; - public LLM_LoraWeightDelegate LLM_LoraWeight; - public LLM_LoraListDelegate LLM_LoraList; - public LLM_SlotDelegate LLM_Slot; - public LLM_CancelDelegate LLM_Cancel; - public LLM_StatusDelegate LLM_Status; - public StringWrapper_ConstructDelegate StringWrapper_Construct; - public StringWrapper_DeleteDelegate StringWrapper_Delete; - public StringWrapper_GetStringSizeDelegate StringWrapper_GetStringSize; - public StringWrapper_GetStringDelegate StringWrapper_GetString; - -#endif - - public static string OSName() - { - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) - return "win-x64"; - else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) - return "linux-x64"; - else if (Application.platform == RuntimePlatform.OSXEditor || Application.platform == RuntimePlatform.OSXPlayer) - return "osx-universal"; - string error = "Unknown OS"; - LLMUnitySetup.LogError(error); - throw new Exception(error); - } - /// - /// Identifies the possible architectures that we can use based on the OS and GPU usage - /// - /// whether to allow GPU architectures - /// possible architectures - public static List PossibleArchitectures(bool gpu = false) - { - List architectures = new List(); - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer || - Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) - { - if (gpu) - { - architectures.Add("cublas"); - architectures.Add("tinyblas"); - architectures.Add("hip"); - architectures.Add("vulkan"); - } - if (has_avx512) architectures.Add("avx512"); - if (has_avx2) architectures.Add("avx2"); - if (has_avx) architectures.Add("avx"); - architectures.Add("noavx"); - } - else if (Application.platform == RuntimePlatform.OSXEditor || Application.platform == RuntimePlatform.OSXPlayer) - { - architectures.Add("acc"); - architectures.Add("no_acc"); - } - else if (Application.platform == RuntimePlatform.Android) - { - architectures.Add("android"); - } - else if (Application.platform == RuntimePlatform.IPhonePlayer) - { - architectures.Add("ios"); - } - else if (Application.platform == RuntimePlatform.VisionOS) - { - architectures.Add("visionos"); - } - else - { - string error = "Unknown OS"; - LLMUnitySetup.LogError(error); - throw new Exception(error); - } - return architectures; - } - - /// - /// Allows to retrieve a string from the library (Unity only allows marshalling of chars) - /// - /// string wrapper pointer - /// retrieved string - public string GetStringWrapperResult(IntPtr stringWrapper) - { - string result = ""; - int bufferSize = StringWrapper_GetStringSize(stringWrapper); - if (bufferSize > 1) - { - IntPtr buffer = Marshal.AllocHGlobal(bufferSize); - try - { - StringWrapper_GetString(stringWrapper, buffer, bufferSize); - result = Marshal.PtrToStringAnsi(buffer); - } - finally - { - Marshal.FreeHGlobal(buffer); - } - } - return result; - } - - /// - /// Destroys the LLM library - /// - public void Destroy() - { - if (libraryHandle != IntPtr.Zero) LibraryLoader.FreeLibrary(libraryHandle); - foreach (IntPtr dependencyHandle in dependencyHandles) LibraryLoader.FreeLibrary(dependencyHandle); - } - } -} -/// \endcond diff --git a/Runtime/LLMLib.cs.meta b/Runtime/LLMLib.cs.meta deleted file mode 100644 index b2c93e3a..00000000 --- a/Runtime/LLMLib.cs.meta +++ /dev/null @@ -1,11 +0,0 @@ -fileFormatVersion: 2 -guid: bce72731fae1ccb80b4a12f3d616f1ee -MonoImporter: - externalObjects: {} - serializedVersion: 2 - defaultReferences: [] - executionOrder: 0 - icon: {instanceID: 0} - userData: - assetBundleName: - assetBundleVariant: diff --git a/Samples~/ChatBot/ChatBot.cs b/Samples~/ChatBot/ChatBot.cs index 83dddb80..4897018f 100644 --- a/Samples~/ChatBot/ChatBot.cs +++ b/Samples~/ChatBot/ChatBot.cs @@ -15,7 +15,7 @@ public class ChatBot : MonoBehaviour public Font font; public int fontSize = 16; public int bubbleWidth = 600; - public LLMCharacter llmCharacter; + public LLMAgent llmAgent; public float textPadding = 10f; public float bubbleSpacing = 10f; public Sprite sprite; @@ -55,7 +55,7 @@ void Start() inputBubble.setInteractable(false); stopButton.gameObject.SetActive(true); ShowLoadedMessages(); - _ = llmCharacter.Warmup(WarmUpCallback); + _ = llmAgent.Warmup(WarmUpCallback); } Bubble AddBubble(string message, bool isPlayerMessage) @@ -68,7 +68,7 @@ Bubble AddBubble(string message, bool isPlayerMessage) void ShowLoadedMessages() { - for (int i = 1; i < llmCharacter.chat.Count; i++) AddBubble(llmCharacter.chat[i].Content, i % 2 == 1); + for (int i = 1; i < llmAgent.chat.Count; i++) AddBubble(llmAgent.chat[i].Content, i % 2 == 1); } void onInputFieldSubmit(string newText) @@ -85,7 +85,7 @@ void onInputFieldSubmit(string newText) AddBubble(message, true); Bubble aiBubble = AddBubble("...", false); - Task chatTask = llmCharacter.ChatAsync(message, aiBubble.SetText, AllowInput); + Task chatTask = llmAgent.ChatAsync(message, aiBubble.SetText, AllowInput); inputBubble.SetText(""); } @@ -104,7 +104,7 @@ public void AllowInput() public void CancelRequests() { - llmCharacter.CancelRequests(); + llmAgent.CancelRequests(); AllowInput(); } @@ -175,9 +175,9 @@ public void ExitGame() bool onValidateWarning = true; void OnValidate() { - if (onValidateWarning && !llmCharacter.remote && llmCharacter.llm != null && llmCharacter.llm.model == "") + if (onValidateWarning && !llmAgent.remote && llmAgent.llm != null && llmAgent.llm.model == "") { - Debug.LogWarning($"Please select a model in the {llmCharacter.llm.gameObject.name} GameObject!"); + Debug.LogWarning($"Please select a model in the {llmAgent.llm.gameObject.name} GameObject!"); onValidateWarning = false; } } diff --git a/Samples~/FunctionCalling/FunctionCalling.cs b/Samples~/FunctionCalling/FunctionCalling.cs index 6c17b139..4978eba4 100644 --- a/Samples~/FunctionCalling/FunctionCalling.cs +++ b/Samples~/FunctionCalling/FunctionCalling.cs @@ -31,7 +31,7 @@ public static string Emotion() public class FunctionCalling : MonoBehaviour { - public LLMCharacter llmCharacter; + public LLMAgent llmAgent; public InputField playerText; public Text AIText; @@ -39,7 +39,7 @@ void Start() { playerText.onSubmit.AddListener(onInputFieldSubmit); playerText.Select(); - llmCharacter.grammar = MultipleChoiceGrammar(); + llmAgent.grammar = MultipleChoiceGrammar(); } string[] GetFunctionNames() @@ -72,7 +72,7 @@ string CallFunction(string functionName) async void onInputFieldSubmit(string message) { playerText.interactable = false; - string functionName = await llmCharacter.ChatAsync(ConstructPrompt(message)); + string functionName = await llmAgent.ChatAsync(ConstructPrompt(message)); string result = CallFunction(functionName); AIText.text = $"Calling {functionName}\n{result}"; playerText.interactable = true; @@ -80,7 +80,7 @@ async void onInputFieldSubmit(string message) public void CancelRequests() { - llmCharacter.CancelRequests(); + llmAgent.CancelRequests(); } public void ExitGame() @@ -92,9 +92,9 @@ public void ExitGame() bool onValidateWarning = true; void OnValidate() { - if (onValidateWarning && !llmCharacter.remote && llmCharacter.llm != null && llmCharacter.llm.model == "") + if (onValidateWarning && !llmAgent.remote && llmAgent.llm != null && llmAgent.llm.model == "") { - Debug.LogWarning($"Please select a model in the {llmCharacter.llm.gameObject.name} GameObject!"); + Debug.LogWarning($"Please select a model in the {llmAgent.llm.gameObject.name} GameObject!"); onValidateWarning = false; } } diff --git a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs index 42311c02..5c971e83 100644 --- a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs +++ b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs @@ -14,7 +14,7 @@ namespace LLMUnitySamples public class KnowledgeBaseGame : KnowledgeBaseGameUI { [Header("Models")] - public LLMCharacter llmCharacter; + public LLMAgent llmAgent; public RAG rag; public int numRAGResults = 3; @@ -54,7 +54,7 @@ void InitLLM() { // warm-up the LLM PlayerText.text += "Warming up the model..."; - _ = llmCharacter.Warmup(AIReplyComplete); + _ = llmAgent.Warmup(AIReplyComplete); } public Dictionary LoadQuestionAnswers(string questionAnswersText) @@ -123,7 +123,7 @@ protected override void OnInputFieldSubmit(string question) PlayerText.interactable = false; SetAIText("..."); string prompt = ConstructPrompt(question); - _ = llmCharacter.ChatAsync(prompt, SetAIText, AIReplyComplete); + _ = llmAgent.ChatAsync(prompt, SetAIText, AIReplyComplete); } protected override void DropdownChange(int selection) @@ -134,8 +134,8 @@ protected override void DropdownChange(int selection) botImages[currentBotName].gameObject.SetActive(true); Debug.Log($"{currentBotName}: {rag.Count(currentBotName)} phrases available"); - // set the LLMCharacter name - llmCharacter.assistantRole = currentBotName; + // set the LLMAgent name + llmAgent.assistantRole = currentBotName; } void SetAIText(string text) @@ -152,7 +152,7 @@ void AIReplyComplete() public void CancelRequests() { - llmCharacter.CancelRequests(); + llmAgent.CancelRequests(); AIReplyComplete(); } @@ -175,7 +175,7 @@ void CheckLLM(LLMClient llmClient, bool debug) void CheckLLMs(bool debug) { CheckLLM(rag.search.llmEmbedder, debug); - CheckLLM(llmCharacter, debug); + CheckLLM(llmAgent, debug); } bool onValidateWarning = true; diff --git a/Samples~/MobileDemo/MobileDemo.cs b/Samples~/MobileDemo/MobileDemo.cs index bb84e571..ccf74529 100644 --- a/Samples~/MobileDemo/MobileDemo.cs +++ b/Samples~/MobileDemo/MobileDemo.cs @@ -7,7 +7,7 @@ namespace LLMUnitySamples { public class MobileDemo : MonoBehaviour { - public LLMCharacter llmCharacter; + public LLMAgent llmAgent; public GameObject ChatPanel; public InputField playerText; @@ -45,7 +45,7 @@ async Task DownloadThenWarmup() async Task WarmUp() { AIText.text += $"Warming up the model..."; - await llmCharacter.Warmup(); + await llmAgent.Warmup(); AIText.text = ""; AIReplyComplete(); } @@ -60,7 +60,7 @@ void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - _ = llmCharacter.ChatAsync(message, SetAIText, AIReplyComplete); + _ = llmAgent.ChatAsync(message, SetAIText, AIReplyComplete); } public void SetAIText(string text) @@ -77,7 +77,7 @@ public void AIReplyComplete() public void CancelRequests() { - llmCharacter.CancelRequests(); + llmAgent.CancelRequests(); AIReplyComplete(); } @@ -91,14 +91,14 @@ public void ExitGame() bool onValidateInfo = true; void OnValidate() { - if (onValidateWarning && !llmCharacter.remote && llmCharacter.llm != null && llmCharacter.llm.model == "") + if (onValidateWarning && !llmAgent.remote && llmAgent.llm != null && llmAgent.llm.model == "") { - Debug.LogWarning($"Please select a model in the {llmCharacter.llm.gameObject.name} GameObject!"); + Debug.LogWarning($"Please select a model in the {llmAgent.llm.gameObject.name} GameObject!"); onValidateWarning = false; } if (onValidateInfo) { - Debug.Log($"Select 'Download On Start' in the {llmCharacter.llm.gameObject.name} GameObject to download the models when the app starts."); + Debug.Log($"Select 'Download On Start' in the {llmAgent.llm.gameObject.name} GameObject to download the models when the app starts."); onValidateInfo = false; } } diff --git a/Samples~/MultipleCharacters/MultipleCharacters.cs b/Samples~/MultipleCharacters/MultipleCharacters.cs index b53e3e7a..39a426ad 100644 --- a/Samples~/MultipleCharacters/MultipleCharacters.cs +++ b/Samples~/MultipleCharacters/MultipleCharacters.cs @@ -9,13 +9,13 @@ public class MultipleCharactersInteraction { InputField playerText; Text AIText; - LLMCharacter llmCharacter; + LLMAgent llmAgent; - public MultipleCharactersInteraction(InputField playerText, Text AIText, LLMCharacter llmCharacter) + public MultipleCharactersInteraction(InputField playerText, Text AIText, LLMAgent llmAgent) { this.playerText = playerText; this.AIText = AIText; - this.llmCharacter = llmCharacter; + this.llmAgent = llmAgent; } public void Start() @@ -28,7 +28,7 @@ public void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - _ = llmCharacter.ChatAsync(message, SetAIText, AIReplyComplete); + _ = llmAgent.ChatAsync(message, SetAIText, AIReplyComplete); } public void SetAIText(string text) @@ -46,12 +46,12 @@ public void AIReplyComplete() public class MultipleCharacters : MonoBehaviour { - public LLMCharacter llmCharacter1; + public LLMAgent llmCharacter1; public InputField playerText1; public Text AIText1; MultipleCharactersInteraction interaction1; - public LLMCharacter llmCharacter2; + public LLMAgent llmCharacter2; public InputField playerText2; public Text AIText2; MultipleCharactersInteraction interaction2; diff --git a/Samples~/RAG/RAGAndLLM_Sample.cs b/Samples~/RAG/RAGAndLLM_Sample.cs index e9ebf010..4265d3cf 100644 --- a/Samples~/RAG/RAGAndLLM_Sample.cs +++ b/Samples~/RAG/RAGAndLLM_Sample.cs @@ -5,7 +5,7 @@ namespace LLMUnitySamples { public class RAGAndLLMSample : RAGSample { - public LLMCharacter llmCharacter; + public LLMAgent llmAgent; public Toggle ParaphraseWithLLM; protected override void onInputFieldSubmit(string message) @@ -21,20 +21,20 @@ protected override void onInputFieldSubmit(string message) } else { - _ = llmCharacter.ChatAsync("Paraphrase the following phrase: " + similarPhrase, SetAIText, AIReplyComplete); + _ = llmAgent.ChatAsync("Paraphrase the following phrase: " + similarPhrase, SetAIText, AIReplyComplete); } } public void CancelRequests() { - llmCharacter.CancelRequests(); + llmAgent.CancelRequests(); AIReplyComplete(); } protected override void CheckLLMs(bool debug) { base.CheckLLMs(debug); - CheckLLM(llmCharacter, debug); + CheckLLM(llmAgent, debug); } } } diff --git a/Samples~/SimpleInteraction/SimpleInteraction.cs b/Samples~/SimpleInteraction/SimpleInteraction.cs index 596f1e75..060e9c41 100644 --- a/Samples~/SimpleInteraction/SimpleInteraction.cs +++ b/Samples~/SimpleInteraction/SimpleInteraction.cs @@ -6,7 +6,7 @@ namespace LLMUnitySamples { public class SimpleInteraction : MonoBehaviour { - public LLMCharacter llmCharacter; + public LLMAgent llmAgent; public InputField playerText; public Text AIText; @@ -20,7 +20,7 @@ void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - _ = llmCharacter.ChatAsync(message, SetAIText, AIReplyComplete); + _ = llmAgent.ChatAsync(message, SetAIText, AIReplyComplete); } public void SetAIText(string text) @@ -37,7 +37,7 @@ public void AIReplyComplete() public void CancelRequests() { - llmCharacter.CancelRequests(); + llmAgent.CancelRequests(); AIReplyComplete(); } @@ -50,9 +50,9 @@ public void ExitGame() bool onValidateWarning = true; void OnValidate() { - if (onValidateWarning && !llmCharacter.remote && llmCharacter.llm != null && llmCharacter.llm.model == "") + if (onValidateWarning && !llmAgent.remote && llmAgent.llm != null && llmAgent.llm.model == "") { - Debug.LogWarning($"Please select a model in the {llmCharacter.llm.gameObject.name} GameObject!"); + Debug.LogWarning($"Please select a model in the {llmAgent.llm.gameObject.name} GameObject!"); onValidateWarning = false; } } diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 68b0e647..90b70423 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -77,7 +77,7 @@ // protected GameObject gameObject; // protected LLM llm; -// protected LLMCharacter llmCharacter; +// protected LLMAgent llmAgent; // protected Exception error = null; // protected string prompt; // protected string query; @@ -104,7 +104,7 @@ // gameObject = new GameObject(); // gameObject.SetActive(false); // llm = CreateLLM(); -// llmCharacter = CreateLLMCharacter(); +// llmAgent = CreateLLMCharacter(); // gameObject.SetActive(true); // } @@ -192,19 +192,19 @@ // return llm; // } -// public virtual LLMCharacter CreateLLMCharacter() +// public virtual LLMAgent CreateLLMCharacter() // { -// LLMCharacter llmCharacter = gameObject.AddComponent(); -// llmCharacter.llm = llm; -// llmCharacter.userName = "User"; -// llmCharacter.AIName = "Assistant"; -// llmCharacter.prompt = prompt; -// llmCharacter.temperature = 0; -// llmCharacter.seed = 0; -// llmCharacter.stream = false; -// llmCharacter.numPredict = 50; -// llmCharacter.port = port; -// return llmCharacter; +// LLMAgent llmAgent = gameObject.AddComponent(); +// llmAgent.llm = llm; +// llmAgent.userRole = "User"; +// llmAgent.assistantRole = "Assistant"; +// llmAgent.prompt = prompt; +// llmAgent.temperature = 0; +// llmAgent.seed = 0; +// llmAgent.stream = false; +// llmAgent.numPredict = 50; +// llmAgent.port = port; +// return llmAgent; // } // [UnityTest] @@ -236,24 +236,24 @@ // public virtual async Task Tests() // { -// await llmCharacter.Tokenize("I", TestTokens); -// await llmCharacter.Warmup(); +// await llmAgent.Tokenize("I", TestTokens); +// await llmAgent.Warmup(); // TestArchitecture(); // TestInitParameters(tokens1, 1); // TestWarmup(); -// await llmCharacter.Chat(query, (string reply) => TestChat(reply, reply1)); +// await llmAgent.Chat(query, (string reply) => TestChat(reply, reply1)); // TestPostChat(3); -// llmCharacter.SetPrompt(llmCharacter.prompt); -// llmCharacter.AIName = "False response"; -// await llmCharacter.Chat(query, (string reply) => TestChat(reply, reply2)); +// llmAgent.SetPrompt(llmAgent.prompt); +// llmAgent.assistantRole = "False response"; +// await llmAgent.Chat(query, (string reply) => TestChat(reply, reply2)); // TestPostChat(3); -// await llmCharacter.Chat("bye!"); +// await llmAgent.Chat("bye!"); // TestPostChat(5); // prompt = "How are you?"; -// llmCharacter.SetPrompt(prompt); -// await llmCharacter.Chat("hi"); +// llmAgent.SetPrompt(prompt); +// await llmAgent.Chat("hi"); // TestInitParameters(tokens2, 3); -// List embeddings = await llmCharacter.Embeddings("hi how are you?"); +// List embeddings = await llmAgent.Embeddings("hi how are you?"); // TestEmbeddings(embeddings); // } @@ -264,9 +264,9 @@ // public void TestInitParameters(int nkeep, int chats) // { -// Assert.AreEqual(llmCharacter.nKeep, nkeep); -// Assert.That(ChatTemplate.GetTemplate(llm.chatTemplate).GetStop(llmCharacter.userName, llmCharacter.AIName).Length > 0); -// Assert.AreEqual(llmCharacter.chat.Count, chats); +// Assert.AreEqual(llmAgent.nKeep, nkeep); +// Assert.That(ChatTemplate.GetTemplate(llm.chatTemplate).GetStop(llmAgent.userRole, llmAgent.assistantRole).Length > 0); +// Assert.AreEqual(llmAgent.chat.Count, chats); // } // public void TestTokens(List tokens) @@ -276,7 +276,7 @@ // public void TestWarmup() // { -// Assert.That(llmCharacter.chat.Count == 1); +// Assert.That(llmAgent.chat.Count == 1); // } // public void TestChat(string reply, string replyGT) @@ -292,7 +292,7 @@ // public void TestPostChat(int num) // { -// Assert.That(llmCharacter.chat.Count == num); +// Assert.That(llmAgent.chat.Count == num); // } // public void TestEmbeddings(List embeddings) @@ -427,11 +427,11 @@ // return llm; // } -// public override LLMCharacter CreateLLMCharacter() +// public override LLMAgent CreateLLMCharacter() // { -// LLMCharacter llmCharacter = base.CreateLLMCharacter(); -// llmCharacter.remote = true; -// return llmCharacter; +// LLMAgent llmAgent = base.CreateLLMCharacter(); +// llmAgent.remote = true; +// return llmAgent; // } // } @@ -444,18 +444,18 @@ // return llm; // } -// public override LLMCharacter CreateLLMCharacter() +// public override LLMAgent CreateLLMCharacter() // { -// LLMCharacter llmCharacter = base.CreateLLMCharacter(); -// llmCharacter.remote = true; -// return llmCharacter; +// LLMAgent llmAgent = base.CreateLLMCharacter(); +// llmAgent.remote = true; +// return llmAgent; // } // } // public class TestLLM_Double : TestLLM // { // LLM llm1; -// LLMCharacter llmCharacter1; +// LLMAgent llmCharacter1; // public override async Task Init() // { @@ -464,7 +464,7 @@ // gameObject = new GameObject(); // gameObject.SetActive(false); // llm = CreateLLM(); -// llmCharacter = CreateLLMCharacter(); +// llmAgent = CreateLLMCharacter(); // llm1 = CreateLLM(); // llmCharacter1 = CreateLLMCharacter(); // gameObject.SetActive(true); @@ -475,17 +475,17 @@ // { // string saveName = "TestLLMCharacter_Save"; -// public override LLMCharacter CreateLLMCharacter() +// public override LLMAgent CreateLLMCharacter() // { -// LLMCharacter llmCharacter = base.CreateLLMCharacter(); -// llmCharacter.save = saveName; -// llmCharacter.saveCache = true; +// LLMAgent llmAgent = base.CreateLLMCharacter(); +// llmAgent.save = saveName; +// llmAgent.saveCache = true; // foreach (string filename in new string[] // { -// llmCharacter.GetJsonSavePath(saveName), -// llmCharacter.GetCacheSavePath(saveName) +// llmAgent.GetJsonSavePath(saveName), +// llmAgent.GetCacheSavePath(saveName) // }) if (File.Exists(filename)) File.Delete(filename); -// return llmCharacter; +// return llmAgent; // } // public override async Task Tests() @@ -496,8 +496,8 @@ // public void TestSave() // { -// string jsonPath = llmCharacter.GetJsonSavePath(saveName); -// string cachePath = llmCharacter.GetCacheSavePath(saveName); +// string jsonPath = llmAgent.GetJsonSavePath(saveName); +// string cachePath = llmAgent.GetCacheSavePath(saveName); // Assert.That(File.Exists(jsonPath)); // Assert.That(File.Exists(cachePath)); // string json = File.ReadAllText(jsonPath); @@ -506,15 +506,15 @@ // List chatHistory = JsonUtility.FromJson(json).chat; // Assert.AreEqual(chatHistory.Count, 2); -// Assert.AreEqual(chatHistory[0].role, llmCharacter.userName); +// Assert.AreEqual(chatHistory[0].role, llmAgent.userRole); // Assert.AreEqual(chatHistory[0].content, "hi"); -// Assert.AreEqual(chatHistory[1].role, llmCharacter.AIName); +// Assert.AreEqual(chatHistory[1].role, llmAgent.assistantRole); -// Assert.AreEqual(llmCharacter.chat.Count, chatHistory.Count + 1); +// Assert.AreEqual(llmAgent.chat.Count, chatHistory.Count + 1); // for (int i = 0; i < chatHistory.Count; i++) // { -// Assert.AreEqual(chatHistory[i].role, llmCharacter.chat[i + 1].role); -// Assert.AreEqual(chatHistory[i].content, llmCharacter.chat[i + 1].content); +// Assert.AreEqual(chatHistory[i].role, llmAgent.chat[i + 1].role); +// Assert.AreEqual(chatHistory[i].content, llmAgent.chat[i + 1].content); // } // } // } From 2614d200d190cf411f021a40a74aee979db78f3e Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 19 Aug 2025 13:40:34 +0300 Subject: [PATCH 18/69] general improvements and small fixes --- Runtime/LLM.cs | 892 ++++++++++++++++++++++++------------------- Runtime/LLMAgent.cs | 463 +++++++++++++++------- Runtime/LLMClient.cs | 599 ++++++++++++++++++----------- 3 files changed, 1207 insertions(+), 747 deletions(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index c875cdcc..e46e5053 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -1,5 +1,5 @@ /// @file -/// @brief File implementing the LLM. +/// @brief File implementing the LLM server component for Unity. using System; using System.Collections.Generic; using System.IO; @@ -14,104 +14,135 @@ namespace LLMUnity [DefaultExecutionOrder(-1)] /// @ingroup llm /// - /// Class implementing the LLM server. + /// Unity MonoBehaviour component that manages a local LLM server instance. + /// Handles model loading, GPU acceleration, LORA adapters, and provides + /// completion, tokenization, and embedding functionality. /// public class LLM : MonoBehaviour { - /// show/hide advanced options in the GameObject - [Tooltip("show/hide advanced options in the GameObject")] + #region Inspector Fields + /// Show/hide advanced options in the inspector + [Tooltip("Show/hide advanced options in the inspector")] [HideInInspector] public bool advancedOptions = false; - /// enable remote server functionality - [Tooltip("enable remote server functionality")] + + /// Enable remote server functionality to allow external connections + [Tooltip("Enable remote server functionality to allow external connections")] [LocalRemote] public bool remote = false; - /// port to use for the remote LLM server - [Tooltip("port to use for the remote LLM server")] + + /// Port to use for the remote LLM server + [Tooltip("Port to use for the remote LLM server")] [Remote] public int port = 13333; - /// number of threads to use (-1 = all) - [Tooltip("number of threads to use (-1 = all)")] + + /// Number of threads to use for processing (-1 = use all available threads) + [Tooltip("Number of threads to use for processing (-1 = use all available threads)")] [LLM] public int numThreads = -1; - /// number of model layers to offload to the GPU (0 = GPU not used). - /// If the user's GPU is not supported, the LLM will fall back to the CPU - [Tooltip("number of model layers to offload to the GPU (0 = GPU not used). If the user's GPU is not supported, the LLM will fall back to the CPU")] + + /// Number of model layers to offload to GPU (0 = CPU only). Falls back to CPU if GPU unsupported + [Tooltip("Number of model layers to offload to GPU (0 = CPU only). Falls back to CPU if GPU unsupported")] [LLM] public int numGPULayers = 0; - /// number of prompts that can happen in parallel (-1 = number of LLMClient objects) - [Tooltip("number of prompts that can happen in parallel (-1 = number of LLMClient objects)")] + + /// Number of prompts that can be processed in parallel (-1 = auto-detect from clients) + [Tooltip("Number of prompts that can be processed in parallel (-1 = auto-detect from clients)")] [LLMAdvanced] public int parallelPrompts = -1; - /// do not destroy the LLM GameObject when loading a new Scene. - [Tooltip("do not destroy the LLM GameObject when loading a new Scene.")] + + /// Persist this LLM GameObject across scene transitions + [Tooltip("Persist this LLM GameObject across scene transitions")] [LLMAdvanced] public bool dontDestroyOnLoad = true; - /// Size of the prompt context (0 = context size of the model). - /// This is the number of tokens the model can take as input when generating responses. - [Tooltip("Size of the prompt context (0 = context size of the model). This is the number of tokens the model can take as input when generating responses.")] + + /// Size of the prompt context in tokens (0 = use model's default context size) + [Tooltip("Size of the prompt context in tokens (0 = use model's default context size). This determines how much conversation history the model can remember.")] [DynamicRange("minContextLength", "maxContextLength", false), Model] public int contextSize = 8192; - /// Batch size for prompt processing. - [Tooltip("Batch size for prompt processing.")] + + /// Batch size for prompt processing (larger = more memory, potentially faster) + [Tooltip("Batch size for prompt processing (larger = more memory, potentially faster)")] [ModelAdvanced] public int batchSize = 512; - /// Boolean set to true if the server has started and is ready to receive requests, false otherwise. - public bool started { get; protected set; } = false; - /// Boolean set to true if the server has failed to start. - public bool failed { get; protected set; } = false; - /// Boolean set to true if the models were not downloaded successfully. - public static bool modelSetupFailed { get; protected set; } = false; - /// Boolean set to true if the server has started and is ready to receive requests, false otherwise. - public static bool modelSetupComplete { get; protected set; } = false; - /// LLM model to use (.gguf format) - [Tooltip("LLM model to use (.gguf format)")] + + /// LLM model file path (.gguf format) + [Tooltip("LLM model file path (.gguf format)")] [ModelAdvanced] public string model = ""; - /// Chat template for the model - [Tooltip("Chat template for the model")] + + /// Chat template for conversation formatting ("auto" = detect from model) + [Tooltip("Chat template for conversation formatting (\"auto\" = detect from model)")] [ModelAdvanced] public string chatTemplate = "auto"; - /// LORA models to use (.gguf format) - [Tooltip("LORA models to use (.gguf format)")] + + /// LORA adapter model paths (.gguf format), separated by commas + [Tooltip("LORA adapter model paths (.gguf format), separated by commas")] [ModelAdvanced] public string lora = ""; - /// the weights of the LORA models being used. - [Tooltip("the weights of the LORA models being used.")] + + /// Weights for LORA adapters, separated by commas (default: 1.0 for each) + [Tooltip("Weights for LORA adapters, separated by commas (default: 1.0 for each)")] [ModelAdvanced] public string loraWeights = ""; - /// enable use of flash attention - [Tooltip("enable use of flash attention")] + + /// Enable flash attention optimization (requires compatible model) + [Tooltip("Enable flash attention optimization (requires compatible model)")] [ModelExtras] public bool flashAttention = false; - /// API key to use for the server - [Tooltip("API key to use for the server")] - public string APIKey; - // SSL certificate - [SerializeField] - private string SSLCert = ""; + /// API key required for server access (leave empty to disable authentication) + [Tooltip("API key required for server access (leave empty to disable authentication)")] + public string APIKey = ""; + + // SSL Configuration + [SerializeField] private string SSLCert = ""; + [SerializeField] private string SSLKey = ""; public string SSLCertPath = ""; - // SSL key - [SerializeField] - private string SSLKey = ""; public string SSLKeyPath = ""; + #endregion + + #region Public Properties + /// True if the LLM server has started and is ready to receive requests + public bool started { get; private set; } = false; + + /// True if the LLM server failed to start + public bool failed { get; private set; } = false; + + /// True if model setup failed during initialization + public static bool modelSetupFailed { get; private set; } = false; + /// True if model setup completed (successfully or not) + public static bool modelSetupComplete { get; private set; } = false; + + /// The underlying LLM service instance + public LLMService llmService { get; private set; } + + /// Model architecture name (e.g., "llama", "mistral") + public string architecture => llmlib?.architecture; + + /// True if this model only supports embeddings (no text generation) + public bool embeddingsOnly { get; private set; } = false; + + /// Number of dimensions in embedding vectors (0 if not an embedding model) + public int embeddingLength { get; private set; } = 0; + #endregion + + #region Private Fields /// \cond HIDE public int minContextLength = 0; public int maxContextLength = 0; - public static string[] ChatTemplates = new string[] + public static readonly string[] ChatTemplates = new string[] { - "auto", "chatml", "llama2", "llama2-sys", "llama2-sys-bos", "llama2-sys-strip", "mistral-v1", "mistral-v3", "mistral-v3-tekken", "mistral-v7", "mistral-v7-tekken", "phi3", "phi4", "falcon3", "zephyr", "monarch", "gemma", "orion", "openchat", "vicuna", "vicuna-orca", "deepseek", "deepseek2", "deepseek3", "command-r", "llama3", "chatglm3", "chatglm4", "glmedge", "minicpm", "exaone3", "exaone4", "rwkv-world", "granite", "gigachat", "megrez", "yandex", "bailing", "llama4", "smolvlm", "hunyuan-moe", "gpt-oss", "hunyuan-dense", "kimi-k2" + "auto", "chatml", "llama2", "llama2-sys", "llama2-sys-bos", "llama2-sys-strip", + "mistral-v1", "mistral-v3", "mistral-v3-tekken", "mistral-v7", "mistral-v7-tekken", + "phi3", "phi4", "falcon3", "zephyr", "monarch", "gemma", "orion", "openchat", + "vicuna", "vicuna-orca", "deepseek", "deepseek2", "deepseek3", "command-r", + "llama3", "chatglm3", "chatglm4", "glmedge", "minicpm", "exaone3", "exaone4", + "rwkv-world", "granite", "gigachat", "megrez", "yandex", "bailing", "llama4", + "smolvlm", "hunyuan-moe", "gpt-oss", "hunyuan-dense", "kimi-k2" }; - LlamaLib llmlib = null; - [Local, SerializeField] protected LLMService _llmService; - public LLMService llmService - { - get => _llmService; - protected set => _llmService = value; - } - public string architecture => llmlib?.architecture; - - List clients = new List(); + private LlamaLib llmlib = null; + // [Local, SerializeField] + protected LLMService _llmService; + private readonly List clients = new List(); public LLMManager llmManager = new LLMManager(); - static readonly object staticLock = new object(); + private static readonly object staticLock = new object(); public LoraManager loraManager = new LoraManager(); - string loraPre = ""; - string loraWeightsPre = ""; - public bool embeddingsOnly = false; - public int embeddingLength = 0; - + private string loraPre = ""; + private string loraWeightsPre = ""; /// \endcond + #endregion + #region Unity Lifecycle public LLM() { LLMManager.Register(this); @@ -127,11 +158,13 @@ void OnValidate() } /// - /// The Unity Awake function that starts the LLM server. + /// Unity Awake method that initializes the LLM server. + /// Sets up the model, starts the service, and handles GPU fallback if needed. /// - public void Awake() + public async void Awake() { if (!enabled) return; + #if !UNITY_EDITOR modelSetupFailed = !await LLMManager.Setup(); #endif @@ -142,22 +175,31 @@ public void Awake() return; } - StartService(); + await StartServiceAsync(); if (!started) return; if (dontDestroyOnLoad) DontDestroyOnLoad(transform.root.gameObject); } - private void CheckParameters() + public void OnDestroy() + { + Destroy(); + LLMManager.Unregister(this); + } + + #endregion + + #region Initialization + private void ValidateParameters() { if ((SSLCert != "" && SSLKey == "") || (SSLCert == "" && SSLKey != "")) { - throw new ArgumentException($"Both SSL certificate and key need to be provided!"); + throw new ArgumentException("Both SSL certificate and key must be provided together!"); } } - private string GetModelPath() + private string GetValidatedModelPath() { - if (model == "") + if (string.IsNullOrEmpty(model)) { throw new ArgumentException("No model file provided!"); } @@ -165,65 +207,67 @@ private string GetModelPath() string modelPath = GetLLMManagerAssetRuntime(model); if (!File.Exists(modelPath)) { - throw new ArgumentException($"File {modelPath} not found!"); + throw new ArgumentException($"Model file not found: {modelPath}"); } return modelPath; } - private List GetLoraPaths() + private List GetValidatedLoraPaths() { loraManager.FromStrings(lora, loraWeights); List loraPaths = new List(); - foreach (string lora in loraManager.GetLoras()) + + foreach (string loraPath in loraManager.GetLoras()) { - string loraPath = GetLLMManagerAssetRuntime(lora); - if (!File.Exists(loraPath)) + string resolvedPath = GetLLMManagerAssetRuntime(loraPath); + if (!File.Exists(resolvedPath)) { - throw new ArgumentException($"File {loraPath} not found!"); + throw new ArgumentException($"LORA file not found: {resolvedPath}"); } - loraPaths.Add(loraPath); + loraPaths.Add(resolvedPath); } return loraPaths; } - private void StartService() + private async Task StartServiceAsync() { started = false; failed = false; - string modelPath; - List loraPaths; try { - CheckParameters(); - modelPath = GetModelPath(); - loraPaths = GetLoraPaths(); + ValidateParameters(); + string modelPath = GetValidatedModelPath(); + List loraPaths = GetValidatedLoraPaths(); + + CreateLib(); + await CreateServiceAsync(modelPath, loraPaths); } catch (ArgumentException ex) { LLMUnitySetup.LogError(ex.Message); + failed = true; return; } - - try - { - CreateLib(); - CreateService(modelPath, loraPaths); - } - catch (Exception e) + catch (Exception ex) { - LLMUnitySetup.LogError($"LLM service couldn't be created, error: {e.Message}"); + LLMUnitySetup.LogError($"Failed to create LLM service: {ex.Message}"); Destroy(); failed = true; return; } - LLMUnitySetup.Log($"LLM service created, using {architecture}"); + + if (started) + { + LLMUnitySetup.Log($"LLM service created successfully, using {architecture}"); + } } private void CreateLib() { bool useGPU = numGPULayers > 0; llmlib = new LlamaLibUnity(useGPU); + if (LLMUnitySetup.DebugMode <= LLMUnitySetup.DebugModeType.All) { LlamaLibUnity.Debug(LLMUnitySetup.DebugModeType.All - LLMUnitySetup.DebugMode + 1); @@ -231,32 +275,39 @@ private void CreateLib() } } - private void CreateService(string modelPath, List loraPaths) + private async Task CreateServiceAsync(string modelPath, List loraPaths) { int numSlots = GetNumClients(); - int numThreadsToUse = numThreads; - if (Application.platform == RuntimePlatform.Android && numThreads <= 0) numThreadsToUse = LLMUnitySetup.AndroidGetNumBigCores(); + int effectiveThreads = numThreads; - lock (staticLock) + if (Application.platform == RuntimePlatform.Android && numThreads <= 0) { - System.IntPtr llm = LLMService.CreateLLM( - llmlib, - modelPath, numSlots, numThreadsToUse, numGPULayers, - flashAttention, contextSize, batchSize, embeddingsOnly, loraPaths.ToArray()); + effectiveThreads = LLMUnitySetup.AndroidGetNumBigCores(); + } - llmService = new LLMService(llmlib, llm); - if (remote) + await Task.Run(() => + { + lock (staticLock) { - if (SSLCert != "" && SSLKey != "") + IntPtr llmPtr = LLMService.CreateLLM( + llmlib, modelPath, numSlots, effectiveThreads, numGPULayers, + flashAttention, contextSize, batchSize, embeddingsOnly, loraPaths.ToArray()); + + llmService = new LLMService(llmlib, llmPtr); + + if (remote) { - LLMUnitySetup.Log("Using SSL"); - llmService.SetSSL(SSLCert, SSLKey); + if (!string.IsNullOrEmpty(SSLCert) && !string.IsNullOrEmpty(SSLKey)) + { + LLMUnitySetup.Log("Enabling SSL for server"); + llmService.SetSSL(SSLCert, SSLKey); + } + llmService.StartServer("", port, APIKey); } - llmService.StartServer("", port, APIKey); - } - llmService.Start(); - } + llmService.Start(); + } + }); started = llmService.Started(); if (!started) return; @@ -265,116 +316,257 @@ private void CreateService(string modelPath, List loraPaths) SetTemplate(chatTemplate); } + #endregion + + #region Public Methods /// - /// Allows to wait until the LLM is ready + /// Waits asynchronously until the LLM is ready to accept requests. /// + /// Task that completes when LLM is ready public async Task WaitUntilReady() { - while (!started) await Task.Yield(); + while (!started && !failed) + { + await Task.Yield(); + } + + if (failed) + { + throw new InvalidOperationException("LLM failed to start"); + } } /// - /// Allows to wait until the LLM models are downloaded and ready + /// Waits asynchronously until model setup is complete. /// - /// function to call with the download progress (float) + /// Optional callback for download progress updates + /// True if setup succeeded, false if it failed public static async Task WaitUntilModelSetup(Callback downloadProgressCallback = null) { - if (downloadProgressCallback != null) LLMManager.downloadProgressCallbacks.Add(downloadProgressCallback); - while (!modelSetupComplete) await Task.Yield(); + if (downloadProgressCallback != null) + { + LLMManager.downloadProgressCallbacks.Add(downloadProgressCallback); + } + + while (!modelSetupComplete) + { + await Task.Yield(); + } + return !modelSetupFailed; } - /// \cond HIDE - public static string GetLLMManagerAsset(string path) + /// + /// Sets the model file to use. Automatically configures context size and embedding settings. + /// + /// Path to the model file (.gguf format) + public void SetModel(string path) { + if (started) + { + throw new InvalidOperationException("Cannot change model after LLM has started"); + } + + model = GetLLMManagerAsset(path); + if (string.IsNullOrEmpty(model)) return; + + ModelEntry modelEntry = LLMManager.Get(model) ?? new ModelEntry(GetLLMManagerAssetRuntime(model)); + + maxContextLength = modelEntry.contextLength; + if (contextSize > maxContextLength) + { + contextSize = maxContextLength; + } + + SetEmbeddings(modelEntry.embeddingLength, modelEntry.embeddingOnly); + + if (contextSize == 0 && modelEntry.contextLength > 32768) + { + LLMUnitySetup.LogWarning($"Model {path} has large context size ({modelEntry.contextLength}). Consider setting contextSize to ≤32768 to avoid excessive memory usage."); + } + #if UNITY_EDITOR - if (!EditorApplication.isPlaying) return GetLLMManagerAssetEditor(path); + if (!EditorApplication.isPlaying) EditorUtility.SetDirty(this); #endif - return GetLLMManagerAssetRuntime(path); } - public static string GetLLMManagerAssetEditor(string path) + /// + /// Sets the chat template for message formatting. + /// + /// Template name (see ChatTemplates array for options) + /// Mark object dirty in editor + public void SetTemplate(string templateName, bool setDirty = true) { - // empty - if (string.IsNullOrEmpty(path)) return path; - // LLMManager - return location the file will be stored in StreamingAssets - ModelEntry modelEntry = LLMManager.Get(path); - if (modelEntry != null) return modelEntry.filename; - // StreamingAssets - return relative location within StreamingAssets - string assetPath = LLMUnitySetup.GetAssetPath(path); // Note: this will return the full path if a full path is passed - string basePath = LLMUnitySetup.GetAssetPath(); - if (File.Exists(assetPath)) + if (!ChatTemplates.Contains(templateName)) { - if (LLMUnitySetup.IsSubPath(assetPath, basePath)) return LLMUnitySetup.RelativePath(assetPath, basePath); + LLMUnitySetup.LogError($"Unsupported chat template: {templateName}"); + return; } - // full path - if (!File.Exists(assetPath)) + + chatTemplate = templateName; + if (started) { - LLMUnitySetup.LogError($"Model {path} was not found."); + llmService.SetTemplate(chatTemplate == "auto" ? "" : chatTemplate); } - else + +#if UNITY_EDITOR + if (setDirty && !EditorApplication.isPlaying) EditorUtility.SetDirty(this); +#endif + } + + /// + /// Configure the LLM for embedding generation. + /// + /// Number of embedding dimensions + /// True if model only supports embeddings + public void SetEmbeddings(int embeddingLength, bool embeddingsOnly) + { + this.embeddingsOnly = embeddingsOnly; + this.embeddingLength = embeddingLength; + +#if UNITY_EDITOR + if (!EditorApplication.isPlaying) EditorUtility.SetDirty(this); +#endif + } + + /// + /// Registers an LLMClient for slot management. + /// + /// Client to register + /// Assigned slot ID + public void Register(LLMClient llmClient) + { + if (llmClient == null) { - string errorMessage = $"The model {path} was loaded locally. You can include it in the build in one of these ways:"; - errorMessage += $"\n-Copy the model inside the StreamingAssets folder and use its StreamingAssets path"; - errorMessage += $"\n-Load the model with the model manager inside the LLM GameObject and use its filename"; - LLMUnitySetup.LogWarning(errorMessage); + throw new ArgumentNullException(nameof(llmClient)); } - return path; + + clients.Add(llmClient); } - public static string GetLLMManagerAssetRuntime(string path) + /// + /// Tokenizes the provided text into a list of token IDs. + /// + /// Text to tokenize + /// List of token IDs + public List Tokenize(string content) { - // empty - if (string.IsNullOrEmpty(path)) return path; - // LLMManager - string managerPath = LLMManager.GetAssetPath(path); - if (!string.IsNullOrEmpty(managerPath) && File.Exists(managerPath)) return managerPath; - // StreamingAssets - string assetPath = LLMUnitySetup.GetAssetPath(path); - if (File.Exists(assetPath)) return assetPath; - // download path - assetPath = LLMUnitySetup.GetDownloadAssetPath(path); - if (File.Exists(assetPath)) return assetPath; - // give up - return path; + AssertStarted(); + return llmService.Tokenize(content); } - /// \endcond + /// + /// Converts token IDs back to text. + /// + /// List of token IDs + /// Detokenised text + public string Detokenize(List tokens) + { + AssertStarted(); + return llmService.Detokenize(tokens); + } /// - /// Allows to set the model used by the LLM. - /// The model provided is copied to the Assets/StreamingAssets folder that allows it to also work in the build. - /// Models supported are in .gguf format. + /// Generates embedding vectors for the provided text. /// - /// path to model to use (.gguf format) - public void SetModel(string path) + /// Text to embed + /// Embedding vector + public List Embeddings(string content) { - model = GetLLMManagerAsset(path); - if (!string.IsNullOrEmpty(model)) - { - ModelEntry modelEntry = LLMManager.Get(model); - if (modelEntry == null) modelEntry = new ModelEntry(GetLLMManagerAssetRuntime(model)); + AssertStarted(); + return llmService.Embeddings(content); + } - maxContextLength = modelEntry.contextLength; - if (contextSize > maxContextLength) contextSize = maxContextLength; - SetEmbeddings(modelEntry.embeddingLength, modelEntry.embeddingOnly); - if (contextSize == 0 && modelEntry.contextLength > 32768) - { - LLMUnitySetup.LogWarning($"The model {path} has very large context size ({modelEntry.contextLength}), consider setting it to a smaller value (<=32768) to avoid filling up the RAM"); - } + /// + /// Generates text completion for the given prompt. + /// + /// Input prompt + /// Optional callback for streaming responses + /// Slot ID (-1 for automatic assignment) + /// Generated text + public string Completion(string prompt, LlamaLibUnity.CharArrayCallback streamCallback = null, int id_slot = -1) + { + AssertStarted(); + return llmService.Completion(prompt, streamCallback, id_slot); + } + + /// + /// Generates text completion asynchronously. + /// + /// Input prompt + /// Optional callback for streaming responses + /// Slot ID (-1 for automatic assignment) + /// Task that returns generated text + public async Task CompletionAsync(string prompt, LlamaLibUnity.CharArrayCallback streamCallback = null, int id_slot = -1) + { + AssertStarted(); + return await llmService.CompletionAsync(prompt, streamCallback, id_slot); + } + + /// + /// Cancels the request in the specified slot. + /// + /// Slot ID + public void CancelRequest(int id_slot) + { + AssertStarted(); + llmService.Cancel(id_slot); + } + + /// + /// Cancels all active requests. + /// + public void CancelRequests() + { + for (int i = 0; i < parallelPrompts; i++) + { + CancelRequest(i); } -#if UNITY_EDITOR - if (!EditorApplication.isPlaying) EditorUtility.SetDirty(this); -#endif } /// - /// Allows to set a LORA model to use in the LLM. - /// The model provided is copied to the Assets/StreamingAssets folder that allows it to also work in the build. - /// Models supported are in .gguf format. + /// Saves the state of a specific slot to disk. + /// + /// Slot ID + /// File path to save to + /// Result message + public string SaveSlot(int idSlot, string filepath) + { + AssertStarted(); + return llmService.SaveSlot(idSlot, filepath); + } + + /// + /// Loads the state of a specific slot from disk. + /// + /// Slot ID + /// File path to load from + /// Result message + public string LoadSlot(int idSlot, string filepath) + { + AssertStarted(); + return llmService.LoadSlot(idSlot, filepath); + } + + /// + /// Gets a list of loaded LORA adapters. + /// + /// List of LORA adapter information + public List ListLoras() + { + AssertStarted(); + return llmService.LoraList(); + } + + #endregion + + #region LORA Management + /// + /// Sets a single LORA adapter, replacing any existing ones. /// - /// path to LORA model to use (.gguf format) - public void SetLora(string path, float weight = 1) + /// Path to LORA file (.gguf format) + /// Adapter weight (default: 1.0) + public void SetLora(string path, float weight = 1f) { AssertNotStarted(); loraManager.Clear(); @@ -382,12 +574,11 @@ public void SetLora(string path, float weight = 1) } /// - /// Allows to add a LORA model to use in the LLM. - /// The model provided is copied to the Assets/StreamingAssets folder that allows it to also work in the build. - /// Models supported are in .gguf format. + /// Adds a LORA adapter to the existing set. /// - /// path to LORA model to use (.gguf format) - public void AddLora(string path, float weight = 1) + /// Path to LORA file (.gguf format) + /// Adapter weight (default: 1.0) + public void AddLora(string path, float weight = 1f) { AssertNotStarted(); loraManager.Add(path, weight); @@ -395,10 +586,9 @@ public void AddLora(string path, float weight = 1) } /// - /// Allows to remove a LORA model from the LLM. - /// Models supported are in .gguf format. + /// Removes a specific LORA adapter. /// - /// path to LORA model to remove (.gguf format) + /// Path to LORA file to remove public void RemoveLora(string path) { AssertNotStarted(); @@ -407,7 +597,7 @@ public void RemoveLora(string path) } /// - /// Allows to remove all LORA models from the LLM. + /// Removes all LORA adapters. /// public void RemoveLoras() { @@ -417,10 +607,10 @@ public void RemoveLoras() } /// - /// Allows to change the weight (scale) of a LORA model in the LLM. + /// Changes the weight of a specific LORA adapter. /// - /// path of LORA model to change (.gguf format) - /// weight of LORA + /// Path to LORA file + /// New weight value public void SetLoraWeight(string path, float weight) { loraManager.SetWeight(path, weight); @@ -429,76 +619,57 @@ public void SetLoraWeight(string path, float weight) } /// - /// Allows to change the weights (scale) of the LORA models in the LLM. + /// Changes the weights of multiple LORA adapters. /// - /// Dictionary (string, float) mapping the path of LORA models with weights to change + /// Dictionary mapping LORA paths to weights public void SetLoraWeights(Dictionary loraToWeight) { - foreach (KeyValuePair entry in loraToWeight) loraManager.SetWeight(entry.Key, entry.Value); + if (loraToWeight == null) + { + throw new ArgumentNullException(nameof(loraToWeight)); + } + + foreach (var entry in loraToWeight) + { + loraManager.SetWeight(entry.Key, entry.Value); + } UpdateLoras(); if (started) ApplyLoras(); } - public void UpdateLoras() + private void UpdateLoras() { (lora, loraWeights) = loraManager.ToStrings(); (loraPre, loraWeightsPre) = (lora, loraWeights); + #if UNITY_EDITOR if (!EditorApplication.isPlaying) EditorUtility.SetDirty(this); #endif } - /// - /// Set the chat template for the LLM. - /// - /// the chat template to use. The available templates can be found in the ChatTemplates array - public void SetTemplate(string templateName, bool setDirty = true) + private void ApplyLoras() { - if (!ChatTemplates.Contains(templateName)) + var loras = new List(); + float[] weights = loraManager.GetWeights(); + + for (int i = 0; i < weights.Length; i++) { - LLMUnitySetup.LogError($"Template {templateName} not supported!"); - return; + loras.Add(new LoraIdScale(i, weights[i])); } - chatTemplate = templateName; - if (started) llmService.SetTemplate(chatTemplate == "auto" ? "" : chatTemplate); -#if UNITY_EDITOR - if (setDirty && !EditorApplication.isPlaying) EditorUtility.SetDirty(this); -#endif - } - - /// - /// Set LLM Embedding parameters - /// - /// number of embedding dimensions - /// if true, the LLM will be used only for embeddings - public void SetEmbeddings(int embeddingLength, bool embeddingsOnly) - { - this.embeddingsOnly = embeddingsOnly; - this.embeddingLength = embeddingLength; -#if UNITY_EDITOR - if (!EditorApplication.isPlaying) EditorUtility.SetDirty(this); -#endif - } - - /// \cond HIDE - string ReadFileContents(string path) - { - if (String.IsNullOrEmpty(path)) return ""; - else if (!File.Exists(path)) + if (loras.Count > 0) { - LLMUnitySetup.LogError($"File {path} not found!"); - return ""; + llmService.LoraWeight(loras); } - return File.ReadAllText(path); } - /// \endcond + #endregion + #region SSL Configuration /// - /// Use a SSL certificate for the LLM server. + /// Sets the SSL certificate for secure server connections. /// - /// the SSL certificate path + /// Path to SSL certificate file public void SetSSLCert(string path) { SSLCertPath = path; @@ -506,44 +677,37 @@ public void SetSSLCert(string path) } /// - /// Use a SSL key for the LLM server. + /// Sets the SSL private key for secure server connections. /// - /// the SSL key path + /// Path to SSL private key file public void SetSSLKey(string path) { SSLKeyPath = path; SSLKey = ReadFileContents(path); } - /// - /// Returns the chat template of the LLM. - /// - /// chat template of the LLM - public string GetTemplate() + private string ReadFileContents(string path) { - return chatTemplate; - } + if (string.IsNullOrEmpty(path)) return ""; - /// - /// Registers a local LLMClient object. - /// This allows to bind the LLMClient "client" to a specific slot of the LLM. - /// - /// - /// - public int Register(LLMClient llmClient) - { - clients.Add(llmClient); - int index = clients.IndexOf(llmClient); - if (parallelPrompts != -1) return index % parallelPrompts; - return index; + if (!File.Exists(path)) + { + LLMUnitySetup.LogError($"File not found: {path}"); + return ""; + } + + return File.ReadAllText(path); } - protected int GetNumClients() + #endregion + + #region Helper Methods + private int GetNumClients() { return Math.Max(parallelPrompts == -1 ? clients.Count : parallelPrompts, 1); } - void AssertStarted() + private void AssertStarted() { string error = null; if (failed) error = "LLM service couldn't be created"; @@ -555,7 +719,7 @@ void AssertStarted() } } - void AssertNotStarted() + private void AssertNotStarted() { if (started) { @@ -566,158 +730,100 @@ void AssertNotStarted() } /// - /// Sets the lora scale, only works after the LLM service has started + /// Stops and cleans up the LLM service. /// - /// switch result - public void ApplyLoras() + public void Destroy() { - List loras = new List(); - float[] weights = loraManager.GetWeights(); - if (weights.Length == 0) return; - for (int i = 0; i < weights.Length; i++) + lock (staticLock) { - loras.Add(new LoraIdScale(i, weights[i])); + try + { + llmService?.Dispose(); + llmlib = null; + started = false; + failed = false; + } + catch (Exception ex) + { + LLMUnitySetup.LogError($"Error during LLM cleanup: {ex.Message}"); + } } - llmService.LoraWeight(loras); } - /// - /// Tokenises the provided query. - /// - /// json request containing the query - /// tokenisation result - public List Tokenize(string content) - { - AssertStarted(); - return llmService.Tokenize(content); - } + #endregion - /// - /// Detokenises the provided query. - /// - /// json request containing the query - /// detokenisation result - public string Detokenize(List tokens) - { - AssertStarted(); - return llmService.Detokenize(tokens); - } - - /// - /// Computes the embeddings of the provided query. - /// - /// json request containing the query - /// embeddings result - public List Embeddings(string content) + #region Static Asset Management + /// \cond HIDE + public static string GetLLMManagerAsset(string path) { - AssertStarted(); - return llmService.Embeddings(content); +#if UNITY_EDITOR + if (!EditorApplication.isPlaying) return GetLLMManagerAssetEditor(path); +#endif + return GetLLMManagerAssetRuntime(path); } - /// - /// Gets a list of the lora adapters - /// - /// list of lara adapters - public List ListLoras() + public static string GetLLMManagerAssetEditor(string path) { - AssertStarted(); - return llmService.LoraList(); - } + if (string.IsNullOrEmpty(path)) return path; - /// - /// Allows to save / restore the state of a slot - /// - /// json request containing the query - /// slot result - public string SaveSlot(int idSlot, string filepath) - { - AssertStarted(); - return llmService.SaveSlot(idSlot, filepath); - } + // Check LLMManager first + ModelEntry modelEntry = LLMManager.Get(path); + if (modelEntry != null) return modelEntry.filename; - /// - /// Allows to save / restore the state of a slot - /// - /// json request containing the query - /// slot result - public string LoadSlot(int idSlot, string filepath) - { - AssertStarted(); - return llmService.LoadSlot(idSlot, filepath); - } + // Check StreamingAssets + string assetPath = LLMUnitySetup.GetAssetPath(path); + string basePath = LLMUnitySetup.GetAssetPath(); - /// - /// Allows to use the chat and completion functionality of the LLM. - /// - /// json request containing the query - /// callback function to call with intermediate responses - /// completion result - public string Completion(string prompt, LlamaLibUnity.CharArrayCallback streamCallback = null, int id_slot = -1) - { - AssertStarted(); - return llmService.Completion(prompt, streamCallback, id_slot); - } + if (File.Exists(assetPath) && LLMUnitySetup.IsSubPath(assetPath, basePath)) + { + return LLMUnitySetup.RelativePath(assetPath, basePath); + } - public async Task CompletionAsync(string prompt, LlamaLibUnity.CharArrayCallback streamCallback = null, int id_slot = -1) - { - AssertStarted(); - return await llmService.CompletionAsync(prompt, streamCallback, id_slot); - } + // Warn about local files not in build + if (File.Exists(assetPath)) + { + string errorMessage = $"The model {path} was loaded locally. You can include it in the build in one of these ways:"; + errorMessage += $"\n-Copy the model inside the StreamingAssets folder and use its StreamingAssets path"; + errorMessage += $"\n-Load the model with the model manager inside the LLM GameObject and use its filename"; + LLMUnitySetup.LogWarning(errorMessage); + } + else + { + LLMUnitySetup.LogError($"Model file not found: {path}"); + } - /// - /// Allows to cancel the requests in a specific slot of the LLM - /// - /// slot of the LLM - public void CancelRequest(int id_slot) - { - AssertStarted(); - llmService.Cancel(id_slot); + return path; } - /// - /// Allows to cancel all the requests of the LLM - /// - /// Stops and destroys the LLM - /// - public void Destroy() - { - lock (staticLock) + // Try LLMManager path + string managerPath = LLMManager.GetAssetPath(path); + if (!string.IsNullOrEmpty(managerPath) && File.Exists(managerPath)) { - try - { - if (llmlib != null) - { - llmService?.Dispose(); - llmlib = null; - } - started = false; - failed = false; - } - catch (Exception e) - { - LLMUnitySetup.LogError(e.Message); - } + return managerPath; } - } - /// - /// The Unity OnDestroy function called when the onbject is destroyed. - /// The function StopProcess is called to stop the LLM server. - /// - public void OnDestroy() - { - Destroy(); - LLMManager.Unregister(this); + // Try StreamingAssets + string assetPath = LLMUnitySetup.GetAssetPath(path); + if (File.Exists(assetPath)) return assetPath; + + // Try download path + string downloadPath = LLMUnitySetup.GetDownloadAssetPath(path); + if (File.Exists(downloadPath)) return downloadPath; + + return path; } - } + /// \endcond + #endregion + } + /// + /// Unity-specific implementation of LlamaLib for handling native library loading. + /// public class LlamaLibUnity : UndreamAI.LlamaLib.LlamaLib { public LlamaLibUnity(bool gpu = false) : base(gpu) {} @@ -726,9 +832,13 @@ public override string FindLibrary(string libraryName) { string lookupDir = Path.Combine(LLMUnitySetup.libraryPath, GetPlatform(), "native"); string libraryPath = Path.Combine(lookupDir, libraryName); - if (File.Exists(libraryPath)) return libraryPath; - throw new System.Exception($"Library {libraryName} not found!"); + if (File.Exists(libraryPath)) + { + return libraryPath; + } + + throw new FileNotFoundException($"Native library not found: {libraryName} in {lookupDir}"); } } } diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 05bd2a13..e65ba3f6 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -1,5 +1,6 @@ /// @file -/// @brief File implementing the LLM characters. +/// @brief File implementing the LLM chat agent functionality for Unity. +using System; using System.Collections.Generic; using System.IO; using System.Threading; @@ -12,224 +13,327 @@ namespace LLMUnity [DefaultExecutionOrder(-2)] /// @ingroup llm /// - /// Class implementing the LLM characters. + /// Unity MonoBehaviour that implements a conversational AI agent with persistent chat history. + /// Extends LLMClient to provide chat-specific functionality including role management, + /// conversation history persistence, and specialized chat completion methods. /// public class LLMAgent : LLMClient { - /// file to save the chat history. - /// The file will be saved within the persistentDataPath directory. - [Tooltip("file to save the chat history. The file will be saved within the persistentDataPath directory.")] + #region Inspector Fields + /// Filename for saving chat history (saved in persistentDataPath) + [Tooltip("Filename for saving chat history (saved in Application.persistentDataPath)")] [LLM] public string save = ""; - /// save the LLM cache. Speeds up the prompt calculation when reloading from history but also requires ~100MB of space per character. - [Tooltip("save the LLM cache. Speeds up the prompt calculation when reloading from history but also requires ~100MB of space per character.")] + + /// Save LLM processing cache for faster reload (~100MB per agent) + [Tooltip("Save LLM processing cache for faster reload (~100MB per agent)")] [LLM] public bool saveCache = false; - /// log the constructed prompt the Unity Editor. - // [Tooltip("log the constructed prompt the Unity Editor.")] - // [LLM] public bool debugPrompt = false; - /// slot of the server to use for computation (affects caching) - [Tooltip("slot of the server to use for computation (affects caching)")] + + /// Server slot to use for processing (affects caching behavior) + [Tooltip("Server slot to use for processing (affects caching behavior)")] [ModelAdvanced, SerializeField] protected int _slot = -1; + + /// Role name for user messages in conversation + [Tooltip("Role name for user messages in conversation")] + [Chat, SerializeField] protected string _userRole = "user"; + + /// Role name for AI assistant messages in conversation + [Tooltip("Role name for AI assistant messages in conversation")] + [Chat, SerializeField] protected string _assistantRole = "assistant"; + + /// System prompt that defines the AI's personality and behavior + [Tooltip("System prompt that defines the AI's personality and behavior")] + [TextArea(5, 10), Chat, SerializeField] + protected string _systemPrompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."; + #endregion + + #region Public Properties + /// Server slot ID for this agent's requests public int slot { get => _slot; - set { if (_slot != value) { _slot = value; if (llmAgent != null) llmAgent.SlotId = _slot; } } + set + { + if (_slot != value) + { + _slot = value; + if (llmAgent != null) llmAgent.SlotId = _slot; + } + } } - /// the name of the player - [Tooltip("the name of the user")] - [Chat, SerializeField] protected string _userRole = "user"; + + /// Role identifier for user messages public string userRole { get => _userRole; - set { if (_userRole != value) { _userRole = value; if (llmAgent != null) llmAgent.UserRole = _userRole; } } + set + { + if (_userRole != value) + { + _userRole = value; + if (llmAgent != null) llmAgent.UserRole = _userRole; + } + } } - /// the name of the AI - [Tooltip("the name of the AI assistant")] - [Chat, SerializeField] protected string _assistantRole = "assistant"; + + /// Role identifier for assistant messages public string assistantRole { get => _assistantRole; - set { if (_assistantRole != value) { _assistantRole = value; if (llmAgent != null) llmAgent.AssistantRole = _assistantRole; } } + set + { + if (_assistantRole != value) + { + _assistantRole = value; + if (llmAgent != null) llmAgent.AssistantRole = _assistantRole; + } + } } - /// a description of the AI role (system prompt) - [Tooltip("a description of the AI role (system prompt)")] - [TextArea(5, 10), Chat, SerializeField] protected string _systemPrompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."; + + /// System prompt defining the agent's behavior and personality public string systemPrompt { get => _systemPrompt; - set { if (_systemPrompt != value) { _systemPrompt = value; if (llmAgent != null) llmAgent.SystemPrompt = _systemPrompt; } } + set + { + if (_systemPrompt != value) + { + _systemPrompt = value; + if (llmAgent != null) llmAgent.SystemPrompt = _systemPrompt; + } + } + } + + /// The underlying LLMAgent instance from LlamaLib + public UndreamAI.LlamaLib.LLMAgent llmAgent { get; protected set; } + + /// Current conversation history as a list of chat messages + public List chat + { + get => llmAgent?.GetHistory() ?? new List(); + set + { + CheckLLMAgent(); + llmAgent.SetHistory(value ?? new List()); + } } + #endregion - [Local, SerializeField] protected UndreamAI.LlamaLib.LLMAgent _llmAgent; - public UndreamAI.LlamaLib.LLMAgent llmAgent + #region Unity Lifecycle and Initialization + private void CheckLLMAgent() { - get => _llmAgent; - protected set => _llmAgent = value; + if (llmAgent == null) + { + string error = "LLMAgent not initialized"; + LLMUnitySetup.LogError(error); + throw new System.InvalidOperationException(error); + } } - public List chat + protected virtual void SetupLLMAgent() { - get => llmAgent.GetHistory(); - set => llmAgent.SetHistory(value); + string exceptionMessage = ""; + try + { + llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, systemPrompt, userRole, assistantRole); + } + catch (Exception ex) + { + exceptionMessage = ex.Message; + } + if (llmAgent == null || exceptionMessage != "") + { + string error = "LLMAgent not initialized"; + if (exceptionMessage != "") error += ", error: " + exceptionMessage; + LLMUnitySetup.LogError(error); + throw new InvalidOperationException(error); + } + + if (slot!=-1) llmAgent.SlotId = slot; } /// - /// The Unity Awake function that initializes the state before the application starts. - /// The following actions are executed: - /// - the corresponding LLM server is defined (if ran locally) - /// - the grammar is set based on the grammar file - /// - the prompt and chat history are initialised - /// - the chat template is constructed - /// - the number of tokens to keep are based on the system prompt (if setNKeepToPrompt=true) + /// Unity Start method that initializes the agent with chat functionality. + /// Sets up the underlying LLMAgent with role configuration and loads saved history. /// public override void Start() { base.Start(); - llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, systemPrompt, userRole, assistantRole); + SetupLLMAgent(); InitHistory(); } protected override void OnValidate() { base.OnValidate(); - if (llm != null && llm.parallelPrompts > -1 && (slot < -1 || slot >= llm.parallelPrompts)) LLMUnitySetup.LogError($"The slot needs to be between 0 and {llm.parallelPrompts - 1}, or -1 to be automatically set"); + + // Validate slot configuration + if (llm != null && llm.parallelPrompts > -1 && (slot < -1 || slot >= llm.parallelPrompts)) + { + LLMUnitySetup.LogError($"Slot must be between 0 and {llm.parallelPrompts - 1}, or -1 for auto-assignment"); + } } protected override void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientSet) { base.SetLLMClient(llmClientSet); - llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, systemPrompt, userRole, assistantRole); + SetupLLMAgent(); } protected override LLMLocal GetCaller() { - return _llmAgent; + return llmAgent; } + /// + /// Initializes conversation history by clearing current state and loading from file if available. + /// protected virtual void InitHistory() { ClearChat(); LoadHistory(); } + /// + /// Loads conversation history from the saved file if it exists. + /// protected virtual void LoadHistory() { - if (save == "" || !File.Exists(GetJsonSavePath(save))) return; - Load(save); + if (string.IsNullOrEmpty(save) || !File.Exists(GetJsonSavePath(save))) + { + return; + } + + try + { + Load(save); + } + catch (System.Exception ex) + { + LLMUnitySetup.LogError($"Failed to load chat history from '{save}': {ex.Message}"); + } } + #endregion + #region File Path Management + /// + /// Gets the full path for a file in the persistent data directory. + /// + /// Filename or relative path + /// Full file path in persistent data directory protected virtual string GetSavePath(string filename) { + if (string.IsNullOrEmpty(filename)) + { + throw new System.ArgumentNullException(nameof(filename)); + } + return Path.Combine(Application.persistentDataPath, filename).Replace('\\', '/'); } /// - /// Allows to get the save path of the chat history based on the provided filename or relative path. + /// Gets the save path for chat history JSON file. /// - /// filename or relative path used for the save - /// save path + /// Base filename (without extension) + /// Full path to JSON file public virtual string GetJsonSavePath(string filename) { return GetSavePath(filename + ".json"); } /// - /// Allows to get the save path of the LLM cache based on the provided filename or relative path. + /// Gets the save path for LLM cache file. /// - /// filename or relative path used for the save - /// save path + /// Base filename (without extension) + /// Full path to cache file public virtual string GetCacheSavePath(string filename) { return GetSavePath(filename + ".cache"); } + #endregion + #region Chat Management /// - /// Clear the chat of the LLMAgent. + /// Clears the entire conversation history. /// public virtual void ClearChat() { + CheckLLMAgent(); llmAgent.ClearHistory(); } /// - /// Set the system prompt for the LLMAgent. - /// - /// the system prompt - /// whether to clear (true) or keep (false) the current chat history on top of the system prompt. - public virtual void SetPrompt(string newPrompt, bool clearChat = true) - { - //TODO - llmAgent.SystemPrompt = newPrompt; - } - - /// - /// Allows to add a message in the chat history. + /// Adds a message with a specific role to the conversation history. /// - /// message role (e.g. userRole or assistantRole) - /// message content + /// Message role (e.g., userRole, assistantRole, or custom role) + /// Message content public virtual void AddMessage(string role, string content) { - // add the question / answer to the chat list, update prompt + CheckLLMAgent(); llmAgent.AddMessage(role, content); } /// - /// Allows to add a player message in the chat history. + /// Adds a user message to the conversation history. /// - /// message content + /// User message content public virtual void AddUserMessage(string content) { + CheckLLMAgent(); llmAgent.AddUserMessage(content); } /// - /// Allows to add a AI message in the chat history. + /// Adds an AI assistant message to the conversation history. /// - /// message content - public virtual void AddAIMessage(string content) + /// Assistant message content + public virtual void AddAssistantMessage(string content) { + CheckLLMAgent(); llmAgent.AddAssistantMessage(content); } + #endregion + #region Chat Functionality /// - /// Chat functionality of the LLM. - /// It calls the LLM completion based on the provided query including the previous chat history. - /// The function allows callbacks when the response is partially or fully received. - /// The question is added to the history if specified. + /// Processes a user query and generates an AI response using conversation context. + /// The query and response are automatically added to chat history if specified. /// - /// user query - /// callback function that receives the response as string - /// callback function called when the full response has been received - /// whether to add the user query to the chat history - /// the LLM response + /// User's message or question + /// Optional streaming callback for partial responses + /// Whether to add the exchange to conversation history + /// AI assistant's response public virtual string Chat(string query, LlamaLib.CharArrayCallback callback = null, bool addToHistory = true) { - // handle a chat message by the user - // call the callback function while the answer is received - // call the completionCallback function when the answer is fully received + CheckLLMAgent(); SetCompletionParameters(); return llmAgent.Chat(query, addToHistory, callback); } /// - /// Chat functionality of the LLM (async). - /// It calls the LLM completion based on the provided query including the previous chat history. - /// The function allows callbacks when the response is partially or fully received. - /// The question is added to the history if specified. + /// Processes a user query asynchronously and generates an AI response using conversation context. + /// The query and response are automatically added to chat history if specified. /// - /// user query - /// callback function that receives the response as string - /// callback function called when the full response has been received - /// whether to add the user query to the chat history - /// the LLM response - public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, bool addToHistory = true) + /// User's message or question + /// Optional streaming callback for partial responses + /// Optional callback when response is complete + /// Whether to add the exchange to conversation history + /// Task that returns the AI assistant's response + public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCallback callback = null, + EmptyCallback completionCallback = null, bool addToHistory = true) { + CheckLLMAgent(); + + // Wrap callback to ensure it runs on the main thread LlamaLib.CharArrayCallback wrappedCallback = null; if (callback != null) { var context = SynchronizationContext.Current; - wrappedCallback = (string msg) => { - if (context != null) context.Post(_ => callback(msg), null); - else callback(msg); + wrappedCallback = (string msg) => + { + if (context != null) + context.Post(_ => callback(msg), null); + else + callback(msg); }; } @@ -238,83 +342,160 @@ public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCall completionCallback?.Invoke(); return result; } + #endregion + #region Model Warmup /// - /// Allow to warm-up a model by processing the system prompt. - /// The prompt processing will be cached (if cachePrompt=true) allowing for faster initialisation. - /// The function allows a callback function for when the prompt is processed and the response received. + /// Warms up the model by processing the system prompt without generating output. + /// This caches the system prompt processing for faster subsequent responses. /// - /// callback function called when the full response has been received - /// the LLM response + /// Optional callback when warmup completes + /// Task that completes when warmup finishes public virtual async Task Warmup(EmptyCallback completionCallback = null) { await Warmup(null, completionCallback); } /// - /// Allow to warm-up a model by processing the provided prompt without adding it to history. - /// The prompt processing will be cached (if cachePrompt=true) allowing for faster initialisation. - /// The function allows a callback function for when the prompt is processed and the response received. - /// + /// Warms up the model with a specific prompt without adding it to history. + /// This pre-processes prompts for faster response times in subsequent interactions. /// - /// user prompt used during the initialisation (not added to history) - /// callback function called when the full response has been received - /// the LLM response + /// Warmup prompt (not added to history) + /// Optional callback when warmup completes + /// Task that completes when warmup finishes public virtual async Task Warmup(string query, EmptyCallback completionCallback = null) { - int currNumPredict = numPredict; - numPredict = 0; - await ChatAsync(query, null, completionCallback, false); - numPredict = currNumPredict; - SetCompletionParameters(); + int originalNumPredict = numPredict; + try + { + // Set to generate no tokens for warmup + numPredict = 0; + await ChatAsync(query, null, completionCallback, false); + } + finally + { + // Restore original setting + numPredict = originalNumPredict; + SetCompletionParameters(); + } } + #endregion + #region Persistence /// - /// Saves the chat history and cache to the provided filename / relative path. + /// Saves the conversation history and optionally the LLM cache to disk. /// - /// filename / relative path to save the chat history - /// + /// Base filename (without extension) for saving + /// Result message from cache save operation, or null if cache not saved public virtual string Save(string filename) { - string filepath = GetJsonSavePath(filename); - string dirname = Path.GetDirectoryName(filepath); - if (!Directory.Exists(dirname)) Directory.CreateDirectory(dirname); - llmAgent.SaveHistory(filepath); - - string cachepath = GetCacheSavePath(filename); - if (remote || !saveCache) return null; - string result = llmAgent.SaveSlot(cachepath); - return result; + if (string.IsNullOrEmpty(filename)) + { + throw new System.ArgumentNullException(nameof(filename)); + } + CheckLLMAgent(); + + // Save chat history + string jsonPath = GetJsonSavePath(filename); + string directory = Path.GetDirectoryName(jsonPath); + + if (!Directory.Exists(directory)) + { + Directory.CreateDirectory(directory); + } + + try + { + llmAgent.SaveHistory(jsonPath); + LLMUnitySetup.Log($"Saved chat history to: {jsonPath}"); + } + catch (System.Exception ex) + { + LLMUnitySetup.LogError($"Failed to save chat history to '{jsonPath}': {ex.Message}"); + throw; + } + + // Save cache if enabled and not remote + if (!remote && saveCache) + { + try + { + string cachePath = GetCacheSavePath(filename); + string result = llmAgent.SaveSlot(cachePath); + LLMUnitySetup.Log($"Saved LLM cache to: {cachePath}"); + return result; + } + catch (System.Exception ex) + { + LLMUnitySetup.LogWarning($"Failed to save LLM cache: {ex.Message}"); + } + } + + return null; } /// - /// Load the chat history and cache from the provided filename / relative path. + /// Loads conversation history and optionally the LLM cache from disk. /// - /// filename / relative path to load the chat history from - /// + /// Base filename (without extension) to load from + /// Result message from cache load operation, or null if cache not loaded public virtual string Load(string filename) { - string filepath = GetJsonSavePath(filename); - if (!File.Exists(filepath)) + if (string.IsNullOrEmpty(filename)) { - LLMUnitySetup.LogError($"File {filepath} does not exist."); - return null; + throw new System.ArgumentNullException(nameof(filename)); } - llmAgent.LoadHistory(filepath); - LLMUnitySetup.Log($"Loaded {filepath}"); + CheckLLMAgent(); - string cachepath = GetCacheSavePath(filename); - if (remote || !saveCache || !File.Exists(GetSavePath(cachepath))) return null; - string result = llmAgent.LoadSlot(cachepath); - return result; + // Load chat history + string jsonPath = GetJsonSavePath(filename); + if (!File.Exists(jsonPath)) + { + throw new FileNotFoundException($"Chat history file not found: {jsonPath}"); + } + + try + { + llmAgent.LoadHistory(jsonPath); + LLMUnitySetup.Log($"Loaded chat history from: {jsonPath}"); + } + catch (System.Exception ex) + { + LLMUnitySetup.LogError($"Failed to load chat history from '{jsonPath}': {ex.Message}"); + throw; + } + + // Load cache if enabled and not remote + if (!remote && saveCache) + { + string cachePath = GetCacheSavePath(filename); + if (File.Exists(cachePath)) + { + try + { + string result = llmAgent.LoadSlot(cachePath); + LLMUnitySetup.Log($"Loaded LLM cache from: {cachePath}"); + return result; + } + catch (System.Exception ex) + { + LLMUnitySetup.LogWarning($"Failed to load LLM cache from '{cachePath}': {ex.Message}"); + } + } + } + + return null; } + #endregion + #region Request Management /// - /// Allows to cancel the requests of the LLMAgent + /// Cancels any active requests for this agent. /// public void CancelRequests() { - llmAgent.Cancel(); + llmAgent?.Cancel(); } + #endregion } } diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 87178767..f18ff1fb 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -1,154 +1,216 @@ /// @file -/// @brief File implementing the basic functionality for LLM callers. +/// @brief File implementing the base LLM client functionality for Unity. using System; using System.Collections.Generic; +using System.IO; using System.Threading.Tasks; using UndreamAI.LlamaLib; using UnityEngine; using UnityEditor; using Newtonsoft.Json.Linq; -using System.IO; namespace LLMUnity { [DefaultExecutionOrder(-2)] /// @ingroup llm /// - /// Class implementing calling of LLM functions (local and remote). + /// Unity MonoBehaviour base class for LLM client functionality. + /// Handles both local and remote LLM connections, completion parameters, + /// and provides tokenization, completion, and embedding capabilities. /// public class LLMClient : MonoBehaviour { - /// show/hide advanced options in the GameObject - [Tooltip("show/hide advanced options in the GameObject")] + #region Inspector Fields + /// Show/hide advanced options in the inspector + [Tooltip("Show/hide advanced options in the inspector")] [HideInInspector] public bool advancedOptions = false; - /// use remote LLM server - [Tooltip("use remote LLM server")] + + /// Use remote LLM server instead of local instance + [Tooltip("Use remote LLM server instead of local instance")] [LocalRemote, SerializeField] protected bool _remote; + + /// Local LLM GameObject to connect to + [Tooltip("Local LLM GameObject to connect to")] + [Local, SerializeField] protected LLM _llm; + + /// API key for remote server authentication + [Tooltip("API key for remote server authentication")] + [Remote, SerializeField] protected string _APIKey; + + /// Hostname or IP address of remote LLM server + [Tooltip("Hostname or IP address of remote LLM server")] + [Remote, SerializeField] protected string _host = "localhost"; + + /// Port number of remote LLM server + [Tooltip("Port number of remote LLM server")] + [Remote, SerializeField] protected int _port = 13333; + + /// Grammar constraints for output formatting (GBNF or JSON schema format) + [Tooltip("Grammar constraints for output formatting (GBNF or JSON schema format)")] + [ModelAdvanced, SerializeField] protected string _grammar = ""; + + // Completion Parameters + /// Maximum tokens to generate (-1 = unlimited) + [Tooltip("Maximum tokens to generate (-1 = unlimited)")] + [Model] public int numPredict = -1; + + /// Cache processed prompts to speed up subsequent requests + [Tooltip("Cache processed prompts to speed up subsequent requests")] + [ModelAdvanced] public bool cachePrompt = true; + + /// Random seed for reproducible generation (0 = random) + [Tooltip("Random seed for reproducible generation (0 = random)")] + [ModelAdvanced] public int seed = 0; + + /// Sampling temperature (0.0 = deterministic, higher = more creative) + [Tooltip("Sampling temperature (0.0 = deterministic, higher = more creative)")] + [ModelAdvanced, Range(0f, 2f)] public float temperature = 0.2f; + + /// Top-k sampling: limit to k most likely tokens (0 = disabled) + [Tooltip("Top-k sampling: limit to k most likely tokens (0 = disabled)")] + [ModelAdvanced, Range(0, 100)] public int topK = 40; + + /// Top-p (nucleus) sampling: cumulative probability threshold (1.0 = disabled) + [Tooltip("Top-p (nucleus) sampling: cumulative probability threshold (1.0 = disabled)")] + [ModelAdvanced, Range(0f, 1f)] public float topP = 0.9f; + + /// Minimum probability threshold for token selection + [Tooltip("Minimum probability threshold for token selection")] + [ModelAdvanced, Range(0f, 1f)] public float minP = 0.05f; + + /// Penalty for repeated tokens (1.0 = no penalty) + [Tooltip("Penalty for repeated tokens (1.0 = no penalty)")] + [ModelAdvanced, Range(0f, 2f)] public float repeatPenalty = 1.1f; + + /// Presence penalty: reduce likelihood of any repeated token (0.0 = disabled) + [Tooltip("Presence penalty: reduce likelihood of any repeated token (0.0 = disabled)")] + [ModelAdvanced, Range(0f, 1f)] public float presencePenalty = 0f; + + /// Frequency penalty: reduce likelihood based on token frequency (0.0 = disabled) + [Tooltip("Frequency penalty: reduce likelihood based on token frequency (0.0 = disabled)")] + [ModelAdvanced, Range(0f, 1f)] public float frequencyPenalty = 0f; + + /// Locally typical sampling strength (1.0 = disabled) + [Tooltip("Locally typical sampling strength (1.0 = disabled)")] + [ModelAdvanced, Range(0f, 1f)] public float typicalP = 1f; + + /// Number of recent tokens to consider for repetition penalty (0 = disabled, -1 = context size) + [Tooltip("Number of recent tokens to consider for repetition penalty (0 = disabled, -1 = context size)")] + [ModelAdvanced, Range(0, 2048)] public int repeatLastN = 64; + + /// Mirostat sampling mode (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0) + [Tooltip("Mirostat sampling mode (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)")] + [ModelAdvanced, Range(0, 2)] public int mirostat = 0; + + /// Mirostat target entropy (tau) - balance between coherence and diversity + [Tooltip("Mirostat target entropy (tau) - balance between coherence and diversity")] + [ModelAdvanced, Range(0f, 10f)] public float mirostatTau = 5f; + + /// Mirostat learning rate (eta) - adaptation speed + [Tooltip("Mirostat learning rate (eta) - adaptation speed")] + [ModelAdvanced, Range(0f, 1f)] public float mirostatEta = 0.1f; + + /// Include top N token probabilities in response (0 = disabled) + [Tooltip("Include top N token probabilities in response (0 = disabled)")] + [ModelAdvanced, Range(0, 10)] public int nProbs = 0; + + /// Ignore end-of-stream token and continue generating + [Tooltip("Ignore end-of-stream token and continue generating")] + [ModelAdvanced] public bool ignoreEos = false; + #endregion + + #region Public Properties + /// Whether this client uses a remote server connection public bool remote { get => _remote; - set { if (_remote != value) { _remote = value; SetupLLMClient(); } } + set + { + if (_remote != value) + { + _remote = value; + if (started) SetupLLMClient(); + } + } } - /// LLM GameObject to use - [Tooltip("LLM GameObject to use")] // Tooltip: ignore - [Local, SerializeField] protected LLM _llm; + + /// The local LLM instance (null if using remote) public LLM llm { get => _llm; set => SetLLM(value); } - /// API key for the remote server - [Tooltip("API key for the remote server")] - [Remote, SerializeField] protected string _APIKey; + + /// API key for remote server authentication public string APIKey { get => _APIKey; - set { if (_APIKey != value) { _APIKey = value; SetupLLMClient(); } } + set + { + if (_APIKey != value) + { + _APIKey = value; + if (started) SetupLLMClient(); + } + } } - /// host of the remote LLM server - [Tooltip("host of the remote LLM server")] - [Remote, SerializeField] protected string _host = "localhost"; + + /// Remote server hostname or IP address public string host { get => _host; - set { if (_host != value) { _host = value; SetupLLMClient(); } } + set + { + if (_host != value) + { + _host = value; + if (started) SetupLLMClient(); + } + } } - /// port of the remote LLM server - [Tooltip("port of the remote LLM server")] - [Remote, SerializeField] protected int _port; + + /// Remote server port number public int port { get => _port; - set { if (_port != value) { _port = value; SetupLLMClient(); } } + set + { + if (_port != value) + { + _port = value; + if (started) SetupLLMClient(); + } + } } - /// grammar used by the LLM - [Tooltip("grammar used by the LLM")] - [ModelAdvanced, SerializeField] protected string _grammar; + /// Current grammar constraints for output formatting public string grammar { get => _grammar; set => SetGrammar(value); } - /// maximum number of tokens that the LLM will predict (-1 = infinity). - [Tooltip("maximum number of tokens that the LLM will predict (-1 = infinity).")] - [Model] public int numPredict = -1; - /// cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!) - [Tooltip("cache the processed prompt to avoid reprocessing the entire prompt every time (default: true, recommended!)")] - [ModelAdvanced] public bool cachePrompt = true; - /// seed for reproducibility (-1 = no reproducibility). - [Tooltip("seed for reproducibility (-1 = no reproducibility).")] - [ModelAdvanced] public int seed = 0; - /// LLM temperature, lower values give more deterministic answers. - [Tooltip("LLM temperature, lower values give more deterministic answers.")] - [ModelAdvanced, Float(0f, 2f)] public float temperature = 0.2f; - /// Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). - /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. - /// - [Tooltip("Top-k sampling selects the next token only from the top k most likely predicted tokens (0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] - [ModelAdvanced, Int(-1, 100)] public int topK = 40; - /// Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). - /// Higher values lead to more diverse text, while lower value will generate more focused and conservative text. - /// - [Tooltip("Top-p sampling selects the next token from a subset of tokens that together have a cumulative probability of at least p (1.0 = disabled). Higher values lead to more diverse text, while lower value will generate more focused and conservative text. ")] - [ModelAdvanced, Float(0f, 1f)] public float topP = 0.9f; - /// minimum probability for a token to be used. - [Tooltip("minimum probability for a token to be used.")] - [ModelAdvanced, Float(0f, 1f)] public float minP = 0.05f; - /// Penalty based on repeated tokens to control the repetition of token sequences in the generated text. - [Tooltip("Penalty based on repeated tokens to control the repetition of token sequences in the generated text.")] - [ModelAdvanced, Float(0f, 2f)] public float repeatPenalty = 1.1f; - /// Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). - [Tooltip("Penalty based on token presence in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] - [ModelAdvanced, Float(0f, 1f)] public float presencePenalty = 0f; - /// Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled). - [Tooltip("Penalty based on token frequency in previous responses to control the repetition of token sequences in the generated text. (0.0 = disabled).")] - [ModelAdvanced, Float(0f, 1f)] public float frequencyPenalty = 0f; - /// enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens. - [Tooltip("enable locally typical sampling (1.0 = disabled). Higher values will promote more contextually coherent tokens, while lower values will promote more diverse tokens.")] - [ModelAdvanced, Float(0f, 1f)] public float typicalP = 1f; - /// last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size). - [Tooltip("last n tokens to consider for penalizing repetition (0 = disabled, -1 = ctx-size).")] - [ModelAdvanced, Int(0, 2048)] public int repeatLastN = 64; - /// enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0). - [Tooltip("enable Mirostat sampling, controlling perplexity during text generation (0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0).")] - [ModelAdvanced, Int(0, 2)] public int mirostat = 0; - /// The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text. - [Tooltip("The Mirostat target entropy (tau) controls the balance between coherence and diversity in the generated text.")] - [ModelAdvanced, Float(0f, 10f)] public float mirostatTau = 5f; - /// The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text. - [Tooltip("The Mirostat learning rate (eta) controls how quickly the algorithm responds to feedback from the generated text.")] - [ModelAdvanced, Float(0f, 1f)] public float mirostatEta = 0.1f; - /// if greater than 0, the response also contains the probabilities of top N tokens for each generated token. - [Tooltip("if greater than 0, the response also contains the probabilities of top N tokens for each generated token.")] - [ModelAdvanced, Int(0, 10)] public int nProbs = 0; - /// ignore end of stream token and continue generating. - [Tooltip("ignore end of stream token and continue generating.")] - [ModelAdvanced] public bool ignoreEos = false; - protected LLM _prellm; - [Local, SerializeField] protected UndreamAI.LlamaLib.LLMClient _llmClient; + /// The underlying LLMClient instance from LlamaLib public UndreamAI.LlamaLib.LLMClient llmClient { get => _llmClient; protected set => SetLLMClient(value); } + #endregion - bool started = false; - string completionParametersPre = ""; + #region Private Fields + private LLM _previousLlm; + [Local, SerializeField] protected UndreamAI.LlamaLib.LLMClient _llmClient; + private bool started = false; + private string completionParametersCache = ""; + #endregion + #region Unity Lifecycle /// - /// The Unity Awake function that initializes the state before the application starts. - /// The following actions are executed: - /// - the corresponding LLM server is defined (if ran locally) - /// - the grammar is set based on the grammar file - /// - the prompt and chat history are initialised - /// - the chat template is constructed - /// - the number of tokens to keep are based on the system prompt (if setNKeepToPrompt=true) + /// Unity Awake method that validates configuration and assigns local LLM if needed. /// public virtual void Awake() { - // Start the LLM server in a cross-platform way if (!enabled) return; if (!remote) @@ -156,13 +218,16 @@ public virtual void Awake() AssignLLM(); if (llm == null) { - string error = $"No LLM assigned or detected for LLMAgent {name}!"; + string error = $"No LLM assigned or detected for {GetType().Name} '{name}'!"; LLMUnitySetup.LogError(error); - throw new Exception(error); + throw new InvalidOperationException(error); } } } + /// + /// Unity Start method that initializes the LLM client connection. + /// public virtual void Start() { if (!enabled) return; @@ -170,86 +235,154 @@ public virtual void Start() started = true; } + protected virtual void OnValidate() + { + if (_llm != _previousLlm) SetLLM(_llm); + AssignLLM(); + } + + protected virtual void Reset() + { + AssignLLM(); + } + #endregion + + #region Initialization + private void CheckLLMClient() + { + if (llmClient == null) + { + string error = "LLMClient not initialized"; + LLMUnitySetup.LogError(error); + throw new System.InvalidOperationException(error); + } + } + + /// + /// Sets up the underlying LLM client connection (local or remote). + /// protected virtual void SetupLLMClient() { - if (!remote) llmClient = new UndreamAI.LlamaLib.LLMClient(llm.llmService); - else llmClient = new UndreamAI.LlamaLib.LLMClient(host, port, APIKey); + string exceptionMessage = ""; + try + { + if (!remote) + { + if (llm?.llmService == null) + { + throw new InvalidOperationException("Local LLM service is not available"); + } + llmClient = new UndreamAI.LlamaLib.LLMClient(llm.llmService); + } + else + { + llmClient = new UndreamAI.LlamaLib.LLMClient(host, port, APIKey); + } + } + catch (Exception ex) + { + exceptionMessage = ex.Message; + } + if (llmClient == null || exceptionMessage != "") + { + string error = "llmClient not initialized"; + if (exceptionMessage != "") error += ", error: " + exceptionMessage; + LLMUnitySetup.LogError(error); + throw new InvalidOperationException(error); + } + SetGrammar(grammar); - completionParametersPre = ""; + completionParametersCache = ""; } + /// + /// Gets the underlying LLMLocal instance for operations requiring local access. + /// protected virtual LLMLocal GetCaller() { return _llmClient; } /// - /// Sets the LLM object of the LLMClient + /// Sets the local LLM instance for this client. /// - /// LLM object - protected virtual void SetLLM(LLM llmSet) + /// LLM instance to connect to + protected virtual void SetLLM(LLM llmInstance) { - if (llmSet == _llm) return; + if (llmInstance == _llm) return; + if (remote) { - LLMUnitySetup.LogError("The client is in remote mode"); + LLMUnitySetup.LogError("Cannot set LLM when client is in remote mode"); return; } - _llm = llmSet; - _prellm = _llm; + + _llm = llmInstance; + _previousLlm = _llm; + if (started) SetupLLMClient(); } - protected virtual void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientSet) + /// + /// Sets the underlying LLMClient instance. + /// + protected virtual void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientInstance) { - _llmClient = llmClientSet; + _llmClient = llmClientInstance; } + #endregion + #region LLM Assignment /// - /// Checks if a LLM can be auto-assigned if the LLM of the LLMClient is null + /// Determines if an LLM instance can be auto-assigned to this client. + /// Override in derived classes to implement specific assignment logic. /// - /// - /// bool specifying whether the LLM can be auto-assigned - public virtual bool IsAutoAssignableLLM(LLM llmSet) + /// LLM instance to evaluate + /// True if the LLM can be auto-assigned + public virtual bool IsAutoAssignableLLM(LLM llmInstance) { return true; } - protected virtual void OnValidate() - { - if (_llm != _prellm) SetLLM(_llm); - AssignLLM(); - } - - protected virtual void Reset() - { - AssignLLM(); - } - + /// + /// Automatically assigns a suitable LLM instance if none is set. + /// protected virtual void AssignLLM() { if (remote || llm != null) return; - List validLLMs = new List(); + var validLLMs = new List(); + #if UNITY_6000_0_OR_NEWER - foreach (LLM foundllm in FindObjectsByType(typeof(LLM), FindObjectsSortMode.None)) + foreach (LLM foundLlm in FindObjectsByType(FindObjectsSortMode.None)) #else - foreach (LLM foundllm in FindObjectsOfType()) + foreach (LLM foundLlm in FindObjectsOfType()) #endif { - if (IsAutoAssignableLLM(foundllm)) validLLMs.Add(foundllm); + if (IsAutoAssignableLLM(foundLlm)) + { + validLLMs.Add(foundLlm); + } } + if (validLLMs.Count == 0) return; - llm = SortLLMsByBestMatching(validLLMs.ToArray())[0]; - string msg = $"Assigning LLM {llm.name} to {GetType()} {name}"; - if (llm.gameObject.scene != gameObject.scene) msg += $" from scene {llm.gameObject.scene}"; - LLMUnitySetup.Log(msg); + llm = SortLLMsByBestMatch(validLLMs.ToArray())[0]; + + string message = $"Auto-assigned LLM '{llm.name}' to {GetType().Name} '{name}'"; + if (llm.gameObject.scene != gameObject.scene) + { + message += $" (from scene '{llm.gameObject.scene.name}')"; + } + LLMUnitySetup.Log(message); } - protected virtual LLM[] SortLLMsByBestMatching(LLM[] arrayIn) + /// + /// Sorts LLM instances by compatibility, preferring same-scene objects and hierarchy order. + /// + protected virtual LLM[] SortLLMsByBestMatch(LLM[] llmArray) { - LLM[] array = (LLM[])arrayIn.Clone(); + LLM[] array = (LLM[]) llmArray.Clone(); for (int i = 0; i < array.Length - 1; i++) { bool swapped = false; @@ -272,87 +405,61 @@ protected virtual LLM[] SortLLMsByBestMatching(LLM[] arrayIn) } return array; } + #endregion + #region Grammar Management /// - /// Sets the provided grammar (gbnf or json schema format) + /// Sets grammar constraints for structured output generation. /// - /// grammar in gbnf or json schema format + /// Grammar in GBNF or JSON schema format public virtual void SetGrammar(string grammarString) { - grammar = grammarString; - GetCaller().SetGrammar(grammarString); + _grammar = grammarString ?? ""; + GetCaller()?.SetGrammar(_grammar); } /// - /// Loads a grammar file + /// Loads grammar constraints from a file. /// - /// path to the grammar file + /// Path to grammar file public virtual void LoadGrammar(string path) { - if (String.IsNullOrEmpty(path)) return; - SetGrammar(File.ReadAllText(path)); - } - - /// - /// Allows to cancel the requests in a specific slot of the LLM - /// - /// slot of the LLM - public void CancelRequest(int id_slot) - { - llmClient.Cancel(id_slot); - } + if (string.IsNullOrEmpty(path)) return; - /// - /// Tokenises the provided query. - /// - /// query to tokenise - /// callback function called with the result tokens - /// list of the tokens - public virtual List Tokenize(string query, Callback> callback = null) - { - List tokens = llmClient.Tokenize(query); - callback?.Invoke(tokens); - return tokens; - } + if (!File.Exists(path)) + { + LLMUnitySetup.LogError($"Grammar file not found: {path}"); + return; + } - /// - /// Detokenises the provided tokens to a string. - /// - /// tokens to detokenise - /// callback function called with the result string - /// the detokenised string - public virtual string Detokenize(List tokens, Callback callback = null) - { - // handle the detokenization of a message by the user - string prompt = llmClient.Detokenize(tokens); - callback?.Invoke(prompt); - return prompt; + try + { + string grammarContent = File.ReadAllText(path); + SetGrammar(grammarContent); + LLMUnitySetup.Log($"Loaded grammar from: {path}"); + } + catch (Exception ex) + { + LLMUnitySetup.LogError($"Failed to load grammar file '{path}': {ex.Message}"); + } } + #endregion + #region Completion Parameters /// - /// Computes the embeddings of the provided input. + /// Applies current completion parameters to the LLM client. + /// Only updates if parameters have changed since last call. /// - /// input to compute the embeddings for - /// callback function called with the result string - /// the computed embeddings - public virtual List Embeddings(string query, Callback> callback = null) - { - // handle the tokenization of a message by the user - List embeddings = llmClient.Embeddings(query); - callback?.Invoke(embeddings); - return embeddings; - } - protected virtual void SetCompletionParameters() { - if (llm.embeddingsOnly) + if (llm != null && llm.embeddingsOnly) { string error = "LLM can't be used for completion, it is an embeddings only model!"; LLMUnitySetup.LogError(error); throw new Exception(error); } - JObject json = new JObject + var parameters = new JObject { ["temperature"] = temperature, ["top_k"] = topK, @@ -372,52 +479,114 @@ protected virtual void SetCompletionParameters() ["n_probs"] = nProbs, ["cache_prompt"] = cachePrompt }; - string completionParameters = json.ToString(); - if (completionParameters != completionParametersPre) + + string parametersJson = parameters.ToString(); + if (parametersJson != completionParametersCache) { - GetCaller().SetCompletionParameters(json); - completionParametersPre = completionParameters; + GetCaller()?.SetCompletionParameters(parameters); + completionParametersCache = parametersJson; } } + #endregion + #region Core LLM Operations /// - /// Completion functionality of the LLM. - /// It calls the LLM completion based solely on the provided prompt (no formatting by the chat template). - /// The function allows callbacks when the response is partially or fully received. + /// Converts text into a list of token IDs. /// - /// user query - /// callback function that receives the response as string - /// callback function called when the full response has been received - /// the LLM response - public virtual string Completion(string prompt, LlamaLib.CharArrayCallback callback = null, int id_slot = -1) + /// Text to tokenize + /// Optional callback to receive the result + /// List of token IDs + public virtual List Tokenize(string query, Callback> callback = null) + { + if (string.IsNullOrEmpty(query)) + { + throw new ArgumentNullException(nameof(query)); + } + CheckLLMClient(); + + List tokens = llmClient.Tokenize(query); + callback?.Invoke(tokens); + return tokens; + } + + /// + /// Converts token IDs back to text. + /// + /// Token IDs to decode + /// Optional callback to receive the result + /// Decoded text + public virtual string Detokenize(List tokens, Callback callback = null) + { + if (tokens == null) + { + throw new ArgumentNullException(nameof(tokens)); + } + CheckLLMClient(); + + string text = llmClient.Detokenize(tokens); + callback?.Invoke(text); + return text; + } + + /// + /// Generates embedding vectors for the input text. + /// + /// Text to embed + /// Optional callback to receive the result + /// Embedding vector + public virtual List Embeddings(string query, Callback> callback = null) { - // handle a completion request by the user - // call the callback function while the answer is received - // call the completionCallback function when the answer is fully received + if (string.IsNullOrEmpty(query)) + { + throw new ArgumentNullException(nameof(query)); + } + CheckLLMClient(); + List embeddings = llmClient.Embeddings(query); + callback?.Invoke(embeddings); + return embeddings; + } + + /// + /// Generates text completion for the given prompt. + /// + /// Input prompt text + /// Optional streaming callback for partial responses + /// Slot ID for the request (-1 for auto-assignment) + /// Generated completion text + public virtual string Completion(string prompt, LlamaLib.CharArrayCallback callback = null, int id_slot = -1) + { + CheckLLMClient(); SetCompletionParameters(); return llmClient.Completion(prompt, callback, id_slot); } /// - /// Completion functionality of the LLM (async). - /// It calls the LLM completion based solely on the provided prompt (no formatting by the chat template). - /// The function allows callbacks when the response is partially or fully received. + /// Generates text completion asynchronously. /// - /// user query - /// callback function that receives the response as string - /// callback function called when the full response has been received - /// the LLM response - public virtual async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, int id_slot = -1) + /// Input prompt text + /// Optional streaming callback for partial responses + /// Optional callback when completion finishes + /// Slot ID for the request (-1 for auto-assignment) + /// Task that returns the generated completion text + public virtual async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallback callback = null, + EmptyCallback completionCallback = null, int id_slot = -1) { - // handle a completion request by the user - // call the callback function while the answer is received - // call the completionCallback function when the answer is fully received - + CheckLLMClient(); SetCompletionParameters(); string result = await llmClient.CompletionAsync(prompt, callback, id_slot); completionCallback?.Invoke(); return result; } + + /// + /// Cancels an active request in the specified slot. + /// + /// Slot ID of the request to cancel + public void CancelRequest(int id_slot) + { + llmClient?.Cancel(id_slot); + } + #endregion } } From 18d1d1ba7492978cc5c78e97bfa6a03346d14265 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 19 Aug 2025 16:35:05 +0300 Subject: [PATCH 19/69] more changes --- Editor/LLMEditor.cs | 8 +- Runtime/LLM.cs | 315 ++++++++++++++++++++++++++++++++++--------- Runtime/LLMAgent.cs | 9 +- Runtime/LLMClient.cs | 8 +- 4 files changed, 271 insertions(+), 69 deletions(-) diff --git a/Editor/LLMEditor.cs b/Editor/LLMEditor.cs index 9ae3ace4..b8596b51 100644 --- a/Editor/LLMEditor.cs +++ b/Editor/LLMEditor.cs @@ -62,11 +62,11 @@ void AddSSLInfo(string propertyName, string type, Callback setterCallbac if (llmScriptSO.FindProperty("advancedOptions").boolValue) { EditorGUILayout.BeginHorizontal(); - AddSSLLoad("certificate", llmScript.SetSSLCert); - AddSSLLoad("key", llmScript.SetSSLKey); + AddSSLLoad("certificate", llmScript.SetSSLCertFromFile); + AddSSLLoad("key", llmScript.SetSSLKeyFromFile); EditorGUILayout.EndHorizontal(); - AddSSLInfo("SSLCertPath", "certificate", llmScript.SetSSLCert); - AddSSLInfo("SSLKeyPath", "key", llmScript.SetSSLKey); + AddSSLInfo("SSLCertPath", "certificate", llmScript.SetSSLCertFromFile); + AddSSLInfo("SSLKeyPath", "key", llmScript.SetSSLKeyFromFile); } Space(); } diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index e46e5053..46bf5431 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -27,68 +27,252 @@ public class LLM : MonoBehaviour /// Enable remote server functionality to allow external connections [Tooltip("Enable remote server functionality to allow external connections")] - [LocalRemote] public bool remote = false; + [LocalRemote, SerializeField] private bool _remote = false; /// Port to use for the remote LLM server [Tooltip("Port to use for the remote LLM server")] - [Remote] public int port = 13333; + [Remote, SerializeField] private int _port = 13333; + + /// API key required for server access (leave empty to disable authentication) + [Tooltip("API key required for server access (leave empty to disable authentication)")] + [Remote, SerializeField] private string _APIKey = ""; + + /// SSL certificate for the remote LLM server + [Tooltip("SSL certificate for the remote LLM server")] + [Remote, SerializeField] private string _SSLCert = ""; + + /// SSL key for the remote LLM server + [Tooltip("SSL key for the remote LLM server")] + [Remote, SerializeField] private string _SSLKey = ""; /// Number of threads to use for processing (-1 = use all available threads) [Tooltip("Number of threads to use for processing (-1 = use all available threads)")] - [LLM] public int numThreads = -1; + [LLM, SerializeField] private int _numThreads = -1; /// Number of model layers to offload to GPU (0 = CPU only). Falls back to CPU if GPU unsupported [Tooltip("Number of model layers to offload to GPU (0 = CPU only). Falls back to CPU if GPU unsupported")] - [LLM] public int numGPULayers = 0; + [LLM, SerializeField] private int _numGPULayers = 0; /// Number of prompts that can be processed in parallel (-1 = auto-detect from clients) [Tooltip("Number of prompts that can be processed in parallel (-1 = auto-detect from clients)")] - [LLMAdvanced] public int parallelPrompts = -1; - - /// Persist this LLM GameObject across scene transitions - [Tooltip("Persist this LLM GameObject across scene transitions")] - [LLMAdvanced] public bool dontDestroyOnLoad = true; + [LLMAdvanced, SerializeField] private int _parallelPrompts = -1; /// Size of the prompt context in tokens (0 = use model's default context size) [Tooltip("Size of the prompt context in tokens (0 = use model's default context size). This determines how much conversation history the model can remember.")] - [DynamicRange("minContextLength", "maxContextLength", false), Model] public int contextSize = 8192; + [DynamicRange("minContextLength", "maxContextLength", false), Model, SerializeField] private int _contextSize = 8192; /// Batch size for prompt processing (larger = more memory, potentially faster) [Tooltip("Batch size for prompt processing (larger = more memory, potentially faster)")] - [ModelAdvanced] public int batchSize = 512; + [ModelAdvanced, SerializeField] private int _batchSize = 512; /// LLM model file path (.gguf format) [Tooltip("LLM model file path (.gguf format)")] - [ModelAdvanced] public string model = ""; + [ModelAdvanced, SerializeField] private string _model = ""; + + /// Enable flash attention optimization (requires compatible model) + [Tooltip("Enable flash attention optimization (requires compatible model)")] + [ModelExtras, SerializeField] private bool _flashAttention = false; /// Chat template for conversation formatting ("auto" = detect from model) [Tooltip("Chat template for conversation formatting (\"auto\" = detect from model)")] - [ModelAdvanced] public string chatTemplate = "auto"; + [ModelAdvanced, SerializeField] private string _chatTemplate = "auto"; /// LORA adapter model paths (.gguf format), separated by commas [Tooltip("LORA adapter model paths (.gguf format), separated by commas")] - [ModelAdvanced] public string lora = ""; + [ModelAdvanced, SerializeField] private string _lora = ""; /// Weights for LORA adapters, separated by commas (default: 1.0 for each) [Tooltip("Weights for LORA adapters, separated by commas (default: 1.0 for each)")] - [ModelAdvanced] public string loraWeights = ""; + [ModelAdvanced, SerializeField] private string _loraWeights = ""; + + /// Persist this LLM GameObject across scene transitions + [Tooltip("Persist this LLM GameObject across scene transitions")] + [LLMAdvanced] public bool dontDestroyOnLoad = true; + #endregion + + #region Public Properties with Validation + + /// Number of threads to use for processing (-1 = use all available threads) + public int numThreads + { + get => _numThreads; + set + { + AssertNotStarted(); + if (value < -1) + throw new ArgumentException("numThreads must be >= -1"); + _numThreads = value; + } + } + + /// Number of model layers to offload to GPU (0 = CPU only) + public int numGPULayers + { + get => _numGPULayers; + set + { + AssertNotStarted(); + if (value < 0) + throw new ArgumentException("numGPULayers must be >= 0"); + _numGPULayers = value; + } + } + + /// Number of prompts that can be processed in parallel (-1 = auto-detect from clients) + public int parallelPrompts + { + get => _parallelPrompts; + set + { + AssertNotStarted(); + if (value < -1) + throw new ArgumentException("parallelPrompts must be >= -1"); + _parallelPrompts = value; + } + } + + /// Size of the prompt context in tokens (0 = use model's default context size) + public int contextSize + { + get => _contextSize; + set + { + AssertNotStarted(); + if (value < 0) + throw new ArgumentException("contextSize must be >= 0"); + _contextSize = value; + } + } + + /// Batch size for prompt processing (larger = more memory, potentially faster) + public int batchSize + { + get => _batchSize; + set + { + AssertNotStarted(); + if (value <= 0) + throw new ArgumentException("batchSize must be > 0"); + _batchSize = value; + } + } /// Enable flash attention optimization (requires compatible model) - [Tooltip("Enable flash attention optimization (requires compatible model)")] - [ModelExtras] public bool flashAttention = false; + public bool flashAttention + { + get => _flashAttention; + set + { + AssertNotStarted(); + _flashAttention = value; + } + } + + /// LLM model file path (.gguf format) + public string model + { + get => _model; + set => SetModel(value); + } + + /// Chat template for conversation formatting ("auto" = detect from model) + public string chatTemplate + { + get => _chatTemplate; + set => SetTemplate(value); + } + + /// LORA adapter model paths (.gguf format), separated by commas + public string lora + { + get => _lora; + set + { + if (value == _lora) return; + AssertNotStarted(); + _lora = value; + UpdateLoraManagerFromStrings(); + } + } + + /// Weights for LORA adapters, separated by commas (default: 1.0 for each) + public string loraWeights + { + get => _loraWeights; + set + { + if (value == _loraWeights) return; + _loraWeights = value; + UpdateLoraManagerFromStrings(); + ApplyLoras(); + } + } + + /// Enable remote server functionality to allow external connections + public bool remote + { + get => _remote; + set + { + if (value == _remote) return; + _remote = value; + RestartServer(); + } + } + + /// Port to use for the remote LLM server + public int port + { + get => _port; + set + { + if (value == _port) return; + if (value < 0 || value > 65535) + throw new ArgumentException("port must be between 0 and 65535"); + _port = value; + RestartServer(); + } + } /// API key required for server access (leave empty to disable authentication) - [Tooltip("API key required for server access (leave empty to disable authentication)")] - public string APIKey = ""; + public string APIKey + { + get => _APIKey; + set + { + if (value == _APIKey) return; + _APIKey = value; + RestartServer(); + } + } + + /// SSL certificate for the remote LLM server + public string SSLCert + { + get => _SSLCert; + set + { + AssertNotStarted(); + if (value == _SSLCert) return; + _SSLCert = value; + } + } + + /// SSL key for the remote LLM server + public string SSLKey + { + get => _SSLKey; + set + { + AssertNotStarted(); + if (value == _SSLKey) return; + _SSLKey = value; + } + } - // SSL Configuration - [SerializeField] private string SSLCert = ""; - [SerializeField] private string SSLKey = ""; - public string SSLCertPath = ""; - public string SSLKeyPath = ""; #endregion - #region Public Properties + #region Other Public Properties /// True if the LLM server has started and is ready to receive requests public bool started { get; private set; } = false; @@ -137,8 +321,6 @@ public class LLM : MonoBehaviour public LLMManager llmManager = new LLMManager(); private static readonly object staticLock = new object(); public LoraManager loraManager = new LoraManager(); - private string loraPre = ""; - private string loraWeightsPre = ""; /// \endcond #endregion @@ -148,15 +330,6 @@ public LLM() LLMManager.Register(this); } - void OnValidate() - { - if (lora != loraPre || loraWeights != loraWeightsPre) - { - loraManager.FromStrings(lora, loraWeights); - (loraPre, loraWeightsPre) = (lora, loraWeights); - } - } - /// /// Unity Awake method that initializes the LLM server. /// Sets up the model, starts the service, and handles GPU fallback if needed. @@ -275,6 +448,31 @@ private void CreateLib() } } + /// + /// Setup the remote LLM server + /// + private void SetupServer() + { + if (!remote) return; + + if (!string.IsNullOrEmpty(SSLCert) && !string.IsNullOrEmpty(SSLKey)) + { + LLMUnitySetup.Log("Enabling SSL for server"); + llmService.SetSSL(SSLCert, SSLKey); + } + llmService.StartServer("", port, APIKey); + } + + /// + /// Restart the remote LLM server (on parameter change) + /// + private void RestartServer() + { + if (!started) return; + llmService.StopServer(); + SetupServer(); + } + private async Task CreateServiceAsync(string modelPath, List loraPaths) { int numSlots = GetNumClients(); @@ -294,17 +492,7 @@ await Task.Run(() => flashAttention, contextSize, batchSize, embeddingsOnly, loraPaths.ToArray()); llmService = new LLMService(llmlib, llmPtr); - - if (remote) - { - if (!string.IsNullOrEmpty(SSLCert) && !string.IsNullOrEmpty(SSLKey)) - { - LLMUnitySetup.Log("Enabling SSL for server"); - llmService.SetSSL(SSLCert, SSLKey); - } - llmService.StartServer("", port, APIKey); - } - + SetupServer(); llmService.Start(); } }); @@ -360,14 +548,12 @@ public static async Task WaitUntilModelSetup(Callback downloadProgr /// Sets the model file to use. Automatically configures context size and embedding settings. /// /// Path to the model file (.gguf format) - public void SetModel(string path) - { - if (started) - { - throw new InvalidOperationException("Cannot change model after LLM has started"); - } + public void SetModel(string path) + { + if (model == path) return; + AssertNotStarted(); - model = GetLLMManagerAsset(path); + _model = GetLLMManagerAsset(path); if (string.IsNullOrEmpty(model)) return; ModelEntry modelEntry = LLMManager.Get(model) ?? new ModelEntry(GetLLMManagerAssetRuntime(model)); @@ -397,16 +583,17 @@ public void SetModel(string path) /// Mark object dirty in editor public void SetTemplate(string templateName, bool setDirty = true) { + if (_chatTemplate == templateName) return; if (!ChatTemplates.Contains(templateName)) { LLMUnitySetup.LogError($"Unsupported chat template: {templateName}"); return; } - chatTemplate = templateName; + _chatTemplate = templateName; if (started) { - llmService.SetTemplate(chatTemplate == "auto" ? "" : chatTemplate); + llmService.SetTemplate(_chatTemplate == "auto" ? "" : _chatTemplate); } #if UNITY_EDITOR @@ -639,16 +826,20 @@ public void SetLoraWeights(Dictionary loraToWeight) private void UpdateLoras() { - (lora, loraWeights) = loraManager.ToStrings(); - (loraPre, loraWeightsPre) = (lora, loraWeights); - + (_lora, _loraWeights) = loraManager.ToStrings(); #if UNITY_EDITOR if (!EditorApplication.isPlaying) EditorUtility.SetDirty(this); #endif } + private void UpdateLoraManagerFromStrings() + { + loraManager.FromStrings(_lora, _loraWeights); + } + private void ApplyLoras() { + if (!started) return; var loras = new List(); float[] weights = loraManager.GetWeights(); @@ -670,9 +861,8 @@ private void ApplyLoras() /// Sets the SSL certificate for secure server connections. /// /// Path to SSL certificate file - public void SetSSLCert(string path) + public void SetSSLCertFromFile(string path) { - SSLCertPath = path; SSLCert = ReadFileContents(path); } @@ -680,9 +870,8 @@ public void SetSSLCert(string path) /// Sets the SSL private key for secure server connections. /// /// Path to SSL private key file - public void SetSSLKey(string path) + public void SetSSLKeyFromFile(string path) { - SSLKeyPath = path; SSLKey = ReadFileContents(path); } diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index e65ba3f6..aafc1d5e 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -148,7 +148,7 @@ protected virtual void SetupLLMAgent() throw new InvalidOperationException(error); } - if (slot!=-1) llmAgent.SlotId = slot; + if (slot != -1) llmAgent.SlotId = slot; } /// @@ -212,6 +212,7 @@ protected virtual void LoadHistory() LLMUnitySetup.LogError($"Failed to load chat history from '{save}': {ex.Message}"); } } + #endregion #region File Path Management @@ -249,6 +250,7 @@ public virtual string GetCacheSavePath(string filename) { return GetSavePath(filename + ".cache"); } + #endregion #region Chat Management @@ -291,6 +293,7 @@ public virtual void AddAssistantMessage(string content) CheckLLMAgent(); llmAgent.AddAssistantMessage(content); } + #endregion #region Chat Functionality @@ -342,6 +345,7 @@ public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCall completionCallback?.Invoke(); return result; } + #endregion #region Model Warmup @@ -379,6 +383,7 @@ public virtual async Task Warmup(string query, EmptyCallback completionCallback SetCompletionParameters(); } } + #endregion #region Persistence @@ -486,6 +491,7 @@ public virtual string Load(string filename) return null; } + #endregion #region Request Management @@ -496,6 +502,7 @@ public void CancelRequests() { llmAgent?.Cancel(); } + #endregion } } diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index f18ff1fb..9707f6ed 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -245,6 +245,7 @@ protected virtual void Reset() { AssignLLM(); } + #endregion #region Initialization @@ -330,6 +331,7 @@ protected virtual void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientInstan { _llmClient = llmClientInstance; } + #endregion #region LLM Assignment @@ -382,7 +384,7 @@ protected virtual void AssignLLM() /// protected virtual LLM[] SortLLMsByBestMatch(LLM[] llmArray) { - LLM[] array = (LLM[]) llmArray.Clone(); + LLM[] array = (LLM[])llmArray.Clone(); for (int i = 0; i < array.Length - 1; i++) { bool swapped = false; @@ -405,6 +407,7 @@ protected virtual LLM[] SortLLMsByBestMatch(LLM[] llmArray) } return array; } + #endregion #region Grammar Management @@ -443,6 +446,7 @@ public virtual void LoadGrammar(string path) LLMUnitySetup.LogError($"Failed to load grammar file '{path}': {ex.Message}"); } } + #endregion #region Completion Parameters @@ -487,6 +491,7 @@ protected virtual void SetCompletionParameters() completionParametersCache = parametersJson; } } + #endregion #region Core LLM Operations @@ -587,6 +592,7 @@ public void CancelRequest(int id_slot) { llmClient?.Cancel(id_slot); } + #endregion } } From 8f7f869cc2aaf7e1060772b938a7790676bae32a Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 19 Aug 2025 18:30:58 +0300 Subject: [PATCH 20/69] more improvements --- Editor/LLMEditor.cs | 20 ++++------------- Editor/PropertyEditor.cs | 2 +- Runtime/LLM.cs | 19 +++++++++-------- Runtime/LLMAgent.cs | 43 ++++++++++--------------------------- Runtime/LLMClient.cs | 46 ++++++++++++---------------------------- Runtime/LLMEmbedder.cs | 5 +++-- Runtime/LLMUtils.cs | 22 +++++++++++++++++++ 7 files changed, 64 insertions(+), 93 deletions(-) diff --git a/Editor/LLMEditor.cs b/Editor/LLMEditor.cs index b8596b51..1863a631 100644 --- a/Editor/LLMEditor.cs +++ b/Editor/LLMEditor.cs @@ -44,20 +44,8 @@ void AddSSLLoad(string type, Callback setterCallback) } } - void AddSSLInfo(string propertyName, string type, Callback setterCallback) - { - string path = llmScriptSO.FindProperty(propertyName).stringValue; - if (path != "") - { - EditorGUILayout.BeginHorizontal(); - EditorGUILayout.LabelField("SSL " + type + " path", path); - if (GUILayout.Button(trashIcon, GUILayout.Height(actionColumnWidth), GUILayout.Width(actionColumnWidth))) setterCallback(""); - EditorGUILayout.EndHorizontal(); - } - } - EditorGUILayout.LabelField("Server Security Settings", EditorStyles.boldLabel); - EditorGUILayout.PropertyField(llmScriptSO.FindProperty("APIKey")); + EditorGUILayout.PropertyField(llmScriptSO.FindProperty("_APIKey")); if (llmScriptSO.FindProperty("advancedOptions").boolValue) { @@ -65,8 +53,8 @@ void AddSSLInfo(string propertyName, string type, Callback setterCallbac AddSSLLoad("certificate", llmScript.SetSSLCertFromFile); AddSSLLoad("key", llmScript.SetSSLKeyFromFile); EditorGUILayout.EndHorizontal(); - AddSSLInfo("SSLCertPath", "certificate", llmScript.SetSSLCertFromFile); - AddSSLInfo("SSLKeyPath", "key", llmScript.SetSSLKeyFromFile); + EditorGUILayout.PropertyField(llmScriptSO.FindProperty("_SSLCert")); + EditorGUILayout.PropertyField(llmScriptSO.FindProperty("_SSLKey")); } Space(); } @@ -468,7 +456,7 @@ public override void OnInspectorGUI() AddOptionsToggles(llmScriptSO); AddSetupSettings(llmScriptSO); - if (llmScriptSO.FindProperty("remote").boolValue) AddSecuritySettings(llmScriptSO, llmScript); + if (llmScriptSO.FindProperty("_remote").boolValue) AddSecuritySettings(llmScriptSO, llmScript); AddModelLoadersSettings(llmScriptSO, llmScript); AddChatSettings(llmScriptSO); diff --git a/Editor/PropertyEditor.cs b/Editor/PropertyEditor.cs index 31a727a9..58241446 100644 --- a/Editor/PropertyEditor.cs +++ b/Editor/PropertyEditor.cs @@ -26,7 +26,7 @@ public virtual bool ToggleButton(string text, bool activated) public virtual void AddSetupSettings(SerializedObject llmScriptSO) { List attributeClasses = new List(){typeof(LocalRemoteAttribute)}; - SerializedProperty remoteProperty = llmScriptSO.FindProperty("remote"); + SerializedProperty remoteProperty = llmScriptSO.FindProperty("_remote"); if (remoteProperty != null) attributeClasses.Add(remoteProperty.boolValue ? typeof(RemoteAttribute) : typeof(LocalAttribute)); attributeClasses.Add(typeof(LLMAttribute)); if (llmScriptSO.FindProperty("advancedOptions").boolValue) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index 46bf5431..71482597 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -11,7 +11,6 @@ namespace LLMUnity { - [DefaultExecutionOrder(-1)] /// @ingroup llm /// /// Unity MonoBehaviour component that manages a local LLM server instance. @@ -35,15 +34,15 @@ public class LLM : MonoBehaviour /// API key required for server access (leave empty to disable authentication) [Tooltip("API key required for server access (leave empty to disable authentication)")] - [Remote, SerializeField] private string _APIKey = ""; + [SerializeField] private string _APIKey = ""; /// SSL certificate for the remote LLM server [Tooltip("SSL certificate for the remote LLM server")] - [Remote, SerializeField] private string _SSLCert = ""; + [SerializeField] private string _SSLCert = ""; /// SSL key for the remote LLM server [Tooltip("SSL key for the remote LLM server")] - [Remote, SerializeField] private string _SSLKey = ""; + [SerializeField] private string _SSLKey = ""; /// Number of threads to use for processing (-1 = use all available threads) [Tooltip("Number of threads to use for processing (-1 = use all available threads)")] @@ -55,7 +54,7 @@ public class LLM : MonoBehaviour /// Number of prompts that can be processed in parallel (-1 = auto-detect from clients) [Tooltip("Number of prompts that can be processed in parallel (-1 = auto-detect from clients)")] - [LLMAdvanced, SerializeField] private int _parallelPrompts = -1; + [LLM, SerializeField] private int _parallelPrompts = -1; /// Size of the prompt context in tokens (0 = use model's default context size) [Tooltip("Size of the prompt context in tokens (0 = use model's default context size). This determines how much conversation history the model can remember.")] @@ -87,7 +86,7 @@ public class LLM : MonoBehaviour /// Persist this LLM GameObject across scene transitions [Tooltip("Persist this LLM GameObject across scene transitions")] - [LLMAdvanced] public bool dontDestroyOnLoad = true; + [LLM] public bool dontDestroyOnLoad = true; #endregion #region Public Properties with Validation @@ -548,8 +547,8 @@ public static async Task WaitUntilModelSetup(Callback downloadProgr /// Sets the model file to use. Automatically configures context size and embedding settings. /// /// Path to the model file (.gguf format) - public void SetModel(string path) - { + public void SetModel(string path) + { if (model == path) return; AssertNotStarted(); @@ -687,7 +686,9 @@ public string Completion(string prompt, LlamaLibUnity.CharArrayCallback streamCa public async Task CompletionAsync(string prompt, LlamaLibUnity.CharArrayCallback streamCallback = null, int id_slot = -1) { AssertStarted(); - return await llmService.CompletionAsync(prompt, streamCallback, id_slot); + // Wrap callback to ensure it runs on the main thread + LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(streamCallback); + return await llmService.CompletionAsync(prompt, wrappedCallback, id_slot); } /// diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index aafc1d5e..21094ea8 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -3,14 +3,13 @@ using System; using System.Collections.Generic; using System.IO; -using System.Threading; using System.Threading.Tasks; using UndreamAI.LlamaLib; using UnityEngine; namespace LLMUnity { - [DefaultExecutionOrder(-2)] + [DefaultExecutionOrder(-1)] /// @ingroup llm /// /// Unity MonoBehaviour that implements a conversational AI agent with persistent chat history. @@ -119,6 +118,12 @@ public List chat #endregion #region Unity Lifecycle and Initialization + public override void Awake() + { + if (!remote) llm?.Register(this); + base.Awake(); + } + private void CheckLLMAgent() { if (llmAgent == null) @@ -129,8 +134,10 @@ private void CheckLLMAgent() } } - protected virtual void SetupLLMAgent() + protected override async Task SetupLLMClient() { + await base.SetupLLMClient(); + string exceptionMessage = ""; try { @@ -149,16 +156,6 @@ protected virtual void SetupLLMAgent() } if (slot != -1) llmAgent.SlotId = slot; - } - - /// - /// Unity Start method that initializes the agent with chat functionality. - /// Sets up the underlying LLMAgent with role configuration and loads saved history. - /// - public override void Start() - { - base.Start(); - SetupLLMAgent(); InitHistory(); } @@ -173,12 +170,6 @@ protected override void OnValidate() } } - protected override void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientSet) - { - base.SetLLMClient(llmClientSet); - SetupLLMAgent(); - } - protected override LLMLocal GetCaller() { return llmAgent; @@ -327,19 +318,7 @@ public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCall CheckLLMAgent(); // Wrap callback to ensure it runs on the main thread - LlamaLib.CharArrayCallback wrappedCallback = null; - if (callback != null) - { - var context = SynchronizationContext.Current; - wrappedCallback = (string msg) => - { - if (context != null) - context.Post(_ => callback(msg), null); - else - callback(msg); - }; - } - + LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback); SetCompletionParameters(); string result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback); completionCallback?.Invoke(); diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 9707f6ed..0b4c0113 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -6,12 +6,10 @@ using System.Threading.Tasks; using UndreamAI.LlamaLib; using UnityEngine; -using UnityEditor; using Newtonsoft.Json.Linq; namespace LLMUnity { - [DefaultExecutionOrder(-2)] /// @ingroup llm /// /// Unity MonoBehaviour base class for LLM client functionality. @@ -129,7 +127,7 @@ public bool remote if (_remote != value) { _remote = value; - if (started) SetupLLMClient(); + if (started) _ = SetupLLMClient(); } } } @@ -138,7 +136,7 @@ public bool remote public LLM llm { get => _llm; - set => SetLLM(value); + set => _ = SetLLM(value); } /// API key for remote server authentication @@ -150,7 +148,7 @@ public string APIKey if (_APIKey != value) { _APIKey = value; - if (started) SetupLLMClient(); + if (started) _ = SetupLLMClient(); } } } @@ -164,7 +162,7 @@ public string host if (_host != value) { _host = value; - if (started) SetupLLMClient(); + if (started) _ = SetupLLMClient(); } } } @@ -178,7 +176,7 @@ public int port if (_port != value) { _port = value; - if (started) SetupLLMClient(); + if (started) _ = SetupLLMClient(); } } } @@ -189,18 +187,10 @@ public string grammar get => _grammar; set => SetGrammar(value); } - - /// The underlying LLMClient instance from LlamaLib - public UndreamAI.LlamaLib.LLMClient llmClient - { - get => _llmClient; - protected set => SetLLMClient(value); - } #endregion #region Private Fields - private LLM _previousLlm; - [Local, SerializeField] protected UndreamAI.LlamaLib.LLMClient _llmClient; + protected UndreamAI.LlamaLib.LLMClient llmClient; private bool started = false; private string completionParametersCache = ""; #endregion @@ -228,16 +218,15 @@ public virtual void Awake() /// /// Unity Start method that initializes the LLM client connection. /// - public virtual void Start() + public virtual async void Start() { if (!enabled) return; - SetupLLMClient(); + await SetupLLMClient(); started = true; } protected virtual void OnValidate() { - if (_llm != _previousLlm) SetLLM(_llm); AssignLLM(); } @@ -262,13 +251,14 @@ private void CheckLLMClient() /// /// Sets up the underlying LLM client connection (local or remote). /// - protected virtual void SetupLLMClient() + protected virtual async Task SetupLLMClient() { string exceptionMessage = ""; try { if (!remote) { + if (llm != null) await llm.WaitUntilReady(); if (llm?.llmService == null) { throw new InvalidOperationException("Local LLM service is not available"); @@ -301,14 +291,14 @@ protected virtual void SetupLLMClient() /// protected virtual LLMLocal GetCaller() { - return _llmClient; + return llmClient; } /// /// Sets the local LLM instance for this client. /// /// LLM instance to connect to - protected virtual void SetLLM(LLM llmInstance) + protected virtual async Task SetLLM(LLM llmInstance) { if (llmInstance == _llm) return; @@ -319,17 +309,7 @@ protected virtual void SetLLM(LLM llmInstance) } _llm = llmInstance; - _previousLlm = _llm; - - if (started) SetupLLMClient(); - } - - /// - /// Sets the underlying LLMClient instance. - /// - protected virtual void SetLLMClient(UndreamAI.LlamaLib.LLMClient llmClientInstance) - { - _llmClient = llmClientInstance; + if (started) await SetupLLMClient(); } #endregion diff --git a/Runtime/LLMEmbedder.cs b/Runtime/LLMEmbedder.cs index 1fa04fed..0bbf54e3 100644 --- a/Runtime/LLMEmbedder.cs +++ b/Runtime/LLMEmbedder.cs @@ -1,5 +1,6 @@ /// @file /// @brief File implementing the LLM embedder. +using System.Threading.Tasks; using UnityEngine; namespace LLMUnity @@ -11,9 +12,9 @@ namespace LLMUnity /// public class LLMEmbedder : LLMClient { - protected override void SetLLM(LLM llmSet) + protected override async Task SetLLM(LLM llmSet) { - base.SetLLM(llmSet); + await base.SetLLM(llmSet); if (llmSet != null && !llmSet.embeddingsOnly) { LLMUnitySetup.LogWarning($"The LLM {llmSet.name} set for LLMEmbeddings {gameObject.name} is not an embeddings-only model, accuracy may be sub-optimal"); diff --git a/Runtime/LLMUtils.cs b/Runtime/LLMUtils.cs index 43681479..560f2299 100644 --- a/Runtime/LLMUtils.cs +++ b/Runtime/LLMUtils.cs @@ -2,6 +2,8 @@ /// @brief File implementing LLM helper code. using System; using System.Collections.Generic; +using System.Threading; +using UndreamAI.LlamaLib; namespace LLMUnity { @@ -200,5 +202,25 @@ public string[] GetLoras() return loraPaths; } } + + public class Utils + { + public static LlamaLib.CharArrayCallback WrapCallbackForAsync(LlamaLib.CharArrayCallback callback) + { + LlamaLib.CharArrayCallback wrappedCallback = null; + if (callback != null) + { + var context = SynchronizationContext.Current; + wrappedCallback = (string msg) => + { + if (context != null) + context.Post(_ => callback(msg), null); + else + callback(msg); + }; + } + return wrappedCallback; + } + } /// \endcond } From c715ccf50e28f0c2be68a8d9047f6fd3fcdafac4 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Wed, 20 Aug 2025 11:46:03 +0300 Subject: [PATCH 21/69] check callback target for destruction --- Runtime/LLM.cs | 2 +- Runtime/LLMAgent.cs | 2 +- Runtime/LLMUtils.cs | 26 +++++++++++++------------- 3 files changed, 15 insertions(+), 15 deletions(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index 71482597..f793594e 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -687,7 +687,7 @@ public async Task CompletionAsync(string prompt, LlamaLibUnity.CharArray { AssertStarted(); // Wrap callback to ensure it runs on the main thread - LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(streamCallback); + LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(streamCallback, this); return await llmService.CompletionAsync(prompt, wrappedCallback, id_slot); } diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 21094ea8..a8e55535 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -318,7 +318,7 @@ public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCall CheckLLMAgent(); // Wrap callback to ensure it runs on the main thread - LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback); + LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback, this); SetCompletionParameters(); string result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback); completionCallback?.Invoke(); diff --git a/Runtime/LLMUtils.cs b/Runtime/LLMUtils.cs index 560f2299..f18d37a3 100644 --- a/Runtime/LLMUtils.cs +++ b/Runtime/LLMUtils.cs @@ -4,6 +4,7 @@ using System.Collections.Generic; using System.Threading; using UndreamAI.LlamaLib; +using UnityEngine; namespace LLMUnity { @@ -205,21 +206,20 @@ public string[] GetLoras() public class Utils { - public static LlamaLib.CharArrayCallback WrapCallbackForAsync(LlamaLib.CharArrayCallback callback) + public static LlamaLib.CharArrayCallback WrapCallbackForAsync( + LlamaLib.CharArrayCallback callback, MonoBehaviour owner) { - LlamaLib.CharArrayCallback wrappedCallback = null; - if (callback != null) + if (callback == null) return null; + var context = SynchronizationContext.Current; + + return (string msg) => { - var context = SynchronizationContext.Current; - wrappedCallback = (string msg) => - { - if (context != null) - context.Post(_ => callback(msg), null); - else - callback(msg); - }; - } - return wrappedCallback; + if (owner == null) return; + if (context != null) + context.Post(_ => { if (owner != null) callback(msg); }, null); + else + callback(msg); + }; } } /// \endcond From b9e946469dc422945251410ecbc06e75c083991a Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 11 Nov 2025 18:26:58 +0200 Subject: [PATCH 22/69] initial pass of basic unit test --- Editor/LLMBuildProcessor.cs | 2 +- Runtime/LLM.cs | 153 +-- Runtime/LLMAgent.cs | 106 +-- Runtime/LLMCharacter.cs | 34 + Runtime/LLMCharacter.cs.meta | 11 + Runtime/LLMClient.cs | 78 +- Runtime/LLMUnitySetup.cs | 3 +- Runtime/LLMUtils.cs | 31 +- Runtime/LlamaLib/LLM.cs | 36 +- Runtime/LlamaLib/LLMAgent.cs | 68 +- Runtime/LlamaLib/LLMClient.cs | 4 +- Runtime/LlamaLib/LLMService.cs | 16 +- Runtime/LlamaLib/LlamaLib.cs | 20 +- Runtime/LlamaLib/LlamaLib.csproj | 67 ++ Runtime/LlamaLib/LlamaLib.csproj.meta | 7 + Runtime/LlamaLib/LlamaLib.targets | 75 ++ Runtime/LlamaLib/LlamaLib.targets.meta | 7 + Runtime/LlamaLib/README.md | 1 + Runtime/LlamaLib/README.md.meta | 7 + Runtime/RAG/Chunking.cs | 12 +- Runtime/RAG/RAG.cs | 4 +- Runtime/RAG/Search.cs | 34 +- Runtime/RAG/SentenceSplitter.cs | 38 +- Runtime/RAG/TokenSplitter.cs | 6 +- Runtime/RAG/WordSplitter.cs | 36 +- Tests/Runtime/TestLLM.cs | 1186 ++++++++++++------------ Tests/Runtime/TestSearch.cs | 216 +++-- 27 files changed, 1231 insertions(+), 1027 deletions(-) create mode 100644 Runtime/LLMCharacter.cs create mode 100644 Runtime/LLMCharacter.cs.meta create mode 100644 Runtime/LlamaLib/LlamaLib.csproj create mode 100644 Runtime/LlamaLib/LlamaLib.csproj.meta create mode 100644 Runtime/LlamaLib/LlamaLib.targets create mode 100644 Runtime/LlamaLib/LlamaLib.targets.meta create mode 100644 Runtime/LlamaLib/README.md create mode 100644 Runtime/LlamaLib/README.md.meta diff --git a/Editor/LLMBuildProcessor.cs b/Editor/LLMBuildProcessor.cs index 4ac99091..a73ea2ee 100644 --- a/Editor/LLMBuildProcessor.cs +++ b/Editor/LLMBuildProcessor.cs @@ -51,7 +51,7 @@ public static void PostprocessIOSBuild(BuildTarget buildTarget, string outputPat string libraryFile = LLMUnitySetup.RelativePath(LLMUnitySetup.SearchDirectory(outputPath, $"libundreamai_{buildTarget.ToString().ToLower()}.a"), outputPath); string fileGuid = project.FindFileGuidByProjectPath(libraryFile); - if (string.IsNullOrEmpty(fileGuid)) Debug.LogError($"Library file {libraryFile} not found in project"); + if (string.IsNullOrEmpty(fileGuid)) LLMUnitySetup.LogError($"Library file {libraryFile} not found in project"); else { foreach (var phaseGuid in project.GetAllBuildPhasesForTarget(unityMainTargetGuid)) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index f793594e..5120ff98 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -76,6 +76,10 @@ public class LLM : MonoBehaviour [Tooltip("Chat template for conversation formatting (\"auto\" = detect from model)")] [ModelAdvanced, SerializeField] private string _chatTemplate = "auto"; + /// Enable LLM reasoning ("thinking" mode) + [Tooltip("Enable LLM reasoning ('thinking' mode)")] + [ModelAdvanced, SerializeField] private bool _reasoning = false; + /// LORA adapter model paths (.gguf format), separated by commas [Tooltip("LORA adapter model paths (.gguf format), separated by commas")] [ModelAdvanced, SerializeField] private string _lora = ""; @@ -181,6 +185,13 @@ public string chatTemplate set => SetTemplate(value); } + /// Enable LLM reasoning ('thinking' mode) + public bool reasoning + { + get => _reasoning; + set => SetReasoning(value); + } + /// LORA adapter model paths (.gguf format), separated by commas public string lora { @@ -493,14 +504,16 @@ await Task.Run(() => llmService = new LLMService(llmlib, llmPtr); SetupServer(); llmService.Start(); + + started = llmService.Started(); + if (started) + { + ApplyLoras(); + SetTemplate(chatTemplate); + SetReasoning(reasoning); + } } }); - - started = llmService.Started(); - if (!started) return; - - ApplyLoras(); - SetTemplate(chatTemplate); } #endregion @@ -600,6 +613,15 @@ public void SetTemplate(string templateName, bool setDirty = true) #endif } + /// + /// Enable LLM reasoning ("thinking" mode) + /// + /// + public void SetReasoning(bool reasoning) + { + llmService.EnableReasoning(reasoning); + } + /// /// Configure the LLM for embedding generation. /// @@ -630,112 +652,6 @@ public void Register(LLMClient llmClient) clients.Add(llmClient); } - /// - /// Tokenizes the provided text into a list of token IDs. - /// - /// Text to tokenize - /// List of token IDs - public List Tokenize(string content) - { - AssertStarted(); - return llmService.Tokenize(content); - } - - /// - /// Converts token IDs back to text. - /// - /// List of token IDs - /// Detokenised text - public string Detokenize(List tokens) - { - AssertStarted(); - return llmService.Detokenize(tokens); - } - - /// - /// Generates embedding vectors for the provided text. - /// - /// Text to embed - /// Embedding vector - public List Embeddings(string content) - { - AssertStarted(); - return llmService.Embeddings(content); - } - - /// - /// Generates text completion for the given prompt. - /// - /// Input prompt - /// Optional callback for streaming responses - /// Slot ID (-1 for automatic assignment) - /// Generated text - public string Completion(string prompt, LlamaLibUnity.CharArrayCallback streamCallback = null, int id_slot = -1) - { - AssertStarted(); - return llmService.Completion(prompt, streamCallback, id_slot); - } - - /// - /// Generates text completion asynchronously. - /// - /// Input prompt - /// Optional callback for streaming responses - /// Slot ID (-1 for automatic assignment) - /// Task that returns generated text - public async Task CompletionAsync(string prompt, LlamaLibUnity.CharArrayCallback streamCallback = null, int id_slot = -1) - { - AssertStarted(); - // Wrap callback to ensure it runs on the main thread - LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(streamCallback, this); - return await llmService.CompletionAsync(prompt, wrappedCallback, id_slot); - } - - /// - /// Cancels the request in the specified slot. - /// - /// Slot ID - public void CancelRequest(int id_slot) - { - AssertStarted(); - llmService.Cancel(id_slot); - } - - /// - /// Cancels all active requests. - /// - public void CancelRequests() - { - for (int i = 0; i < parallelPrompts; i++) - { - CancelRequest(i); - } - } - - /// - /// Saves the state of a specific slot to disk. - /// - /// Slot ID - /// File path to save to - /// Result message - public string SaveSlot(int idSlot, string filepath) - { - AssertStarted(); - return llmService.SaveSlot(idSlot, filepath); - } - - /// - /// Loads the state of a specific slot from disk. - /// - /// Slot ID - /// File path to load from - /// Result message - public string LoadSlot(int idSlot, string filepath) - { - AssertStarted(); - return llmService.LoadSlot(idSlot, filepath); - } - /// /// Gets a list of loaded LORA adapters. /// @@ -902,21 +818,12 @@ private void AssertStarted() string error = null; if (failed) error = "LLM service couldn't be created"; else if (!started) error = "LLM service not started"; - if (error != null) - { - LLMUnitySetup.LogError(error); - throw new Exception(error); - } + if (error != null) LLMUnitySetup.LogError(error, true); } private void AssertNotStarted() { - if (started) - { - string error = "This method can't be called when the LLM has started"; - LLMUnitySetup.LogError(error); - throw new Exception(error); - } + if (started) LLMUnitySetup.LogError("This method can't be called when the LLM has started", true); } /// diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index a8e55535..6323af73 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -3,6 +3,7 @@ using System; using System.Collections.Generic; using System.IO; +using System.Linq; using System.Threading.Tasks; using UndreamAI.LlamaLib; using UnityEngine; @@ -108,11 +109,25 @@ public string systemPrompt /// Current conversation history as a list of chat messages public List chat { - get => llmAgent?.GetHistory() ?? new List(); + get + { + if (llmAgent == null) return new List(); + + // convert each UndreamAI.LlamaLib.ChatMessage to LLMUnity.ChatMessage + return llmAgent.GetHistory() + .Select(m => new ChatMessage(m)) + .ToList(); + } set { - CheckLLMAgent(); - llmAgent.SetHistory(value ?? new List()); + if (llmAgent != null) + { + // convert LLMUnity.ChatMessage back to UndreamAI.LlamaLib.ChatMessage + var history = value?.Select(m => (UndreamAI.LlamaLib.ChatMessage)m).ToList() + ?? new List(); + + llmAgent.SetHistory(history); + } } } #endregion @@ -124,16 +139,6 @@ public override void Awake() base.Awake(); } - private void CheckLLMAgent() - { - if (llmAgent == null) - { - string error = "LLMAgent not initialized"; - LLMUnitySetup.LogError(error); - throw new System.InvalidOperationException(error); - } - } - protected override async Task SetupLLMClient() { await base.SetupLLMClient(); @@ -151,12 +156,11 @@ protected override async Task SetupLLMClient() { string error = "LLMAgent not initialized"; if (exceptionMessage != "") error += ", error: " + exceptionMessage; - LLMUnitySetup.LogError(error); - throw new InvalidOperationException(error); + LLMUnitySetup.LogError(error, true); } if (slot != -1) llmAgent.SlotId = slot; - InitHistory(); + await InitHistory(); } protected override void OnValidate() @@ -178,16 +182,16 @@ protected override LLMLocal GetCaller() /// /// Initializes conversation history by clearing current state and loading from file if available. /// - protected virtual void InitHistory() + protected virtual async Task InitHistory() { - ClearChat(); - LoadHistory(); + await ClearChat(); + await LoadHistory(); } /// /// Loads conversation history from the saved file if it exists. /// - protected virtual void LoadHistory() + protected virtual async Task LoadHistory() { if (string.IsNullOrEmpty(save) || !File.Exists(GetJsonSavePath(save))) { @@ -196,7 +200,7 @@ protected virtual void LoadHistory() try { - Load(save); + await Load(save); } catch (System.Exception ex) { @@ -248,9 +252,9 @@ public virtual string GetCacheSavePath(string filename) /// /// Clears the entire conversation history. /// - public virtual void ClearChat() + public virtual async Task ClearChat() { - CheckLLMAgent(); + await CheckLLMClient(); llmAgent.ClearHistory(); } @@ -259,9 +263,9 @@ public virtual void ClearChat() /// /// Message role (e.g., userRole, assistantRole, or custom role) /// Message content - public virtual void AddMessage(string role, string content) + public virtual async Task AddMessage(string role, string content) { - CheckLLMAgent(); + await CheckLLMClient(); llmAgent.AddMessage(role, content); } @@ -269,9 +273,9 @@ public virtual void AddMessage(string role, string content) /// Adds a user message to the conversation history. /// /// User message content - public virtual void AddUserMessage(string content) + public virtual async Task AddUserMessage(string content) { - CheckLLMAgent(); + await CheckLLMClient(); llmAgent.AddUserMessage(content); } @@ -279,30 +283,15 @@ public virtual void AddUserMessage(string content) /// Adds an AI assistant message to the conversation history. /// /// Assistant message content - public virtual void AddAssistantMessage(string content) + public virtual async Task AddAssistantMessage(string content) { - CheckLLMAgent(); + await CheckLLMClient(); llmAgent.AddAssistantMessage(content); } #endregion #region Chat Functionality - /// - /// Processes a user query and generates an AI response using conversation context. - /// The query and response are automatically added to chat history if specified. - /// - /// User's message or question - /// Optional streaming callback for partial responses - /// Whether to add the exchange to conversation history - /// AI assistant's response - public virtual string Chat(string query, LlamaLib.CharArrayCallback callback = null, bool addToHistory = true) - { - CheckLLMAgent(); - SetCompletionParameters(); - return llmAgent.Chat(query, addToHistory, callback); - } - /// /// Processes a user query asynchronously and generates an AI response using conversation context. /// The query and response are automatically added to chat history if specified. @@ -312,10 +301,10 @@ public virtual string Chat(string query, LlamaLib.CharArrayCallback callback = n /// Optional callback when response is complete /// Whether to add the exchange to conversation history /// Task that returns the AI assistant's response - public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCallback callback = null, + public virtual async Task Chat(string query, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, bool addToHistory = true) { - CheckLLMAgent(); + await CheckLLMClient(); // Wrap callback to ensure it runs on the main thread LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback, this); @@ -325,9 +314,6 @@ public virtual async Task ChatAsync(string query, LlamaLib.CharArrayCall return result; } - #endregion - - #region Model Warmup /// /// Warms up the model by processing the system prompt without generating output. /// This caches the system prompt processing for faster subsequent responses. @@ -353,7 +339,7 @@ public virtual async Task Warmup(string query, EmptyCallback completionCallback { // Set to generate no tokens for warmup numPredict = 0; - await ChatAsync(query, null, completionCallback, false); + await Chat(query, null, completionCallback, false); } finally { @@ -371,13 +357,13 @@ public virtual async Task Warmup(string query, EmptyCallback completionCallback /// /// Base filename (without extension) for saving /// Result message from cache save operation, or null if cache not saved - public virtual string Save(string filename) + public virtual async Task Save(string filename) { if (string.IsNullOrEmpty(filename)) { throw new System.ArgumentNullException(nameof(filename)); } - CheckLLMAgent(); + await CheckLLMClient(); // Save chat history string jsonPath = GetJsonSavePath(filename); @@ -395,8 +381,7 @@ public virtual string Save(string filename) } catch (System.Exception ex) { - LLMUnitySetup.LogError($"Failed to save chat history to '{jsonPath}': {ex.Message}"); - throw; + LLMUnitySetup.LogError($"Failed to save chat history to '{jsonPath}': {ex.Message}", true); } // Save cache if enabled and not remote @@ -423,13 +408,13 @@ public virtual string Save(string filename) /// /// Base filename (without extension) to load from /// Result message from cache load operation, or null if cache not loaded - public virtual string Load(string filename) + public virtual async Task Load(string filename) { if (string.IsNullOrEmpty(filename)) { throw new System.ArgumentNullException(nameof(filename)); } - CheckLLMAgent(); + await CheckLLMClient(); // Load chat history string jsonPath = GetJsonSavePath(filename); @@ -445,8 +430,7 @@ public virtual string Load(string filename) } catch (System.Exception ex) { - LLMUnitySetup.LogError($"Failed to load chat history from '{jsonPath}': {ex.Message}"); - throw; + LLMUnitySetup.LogError($"Failed to load chat history from '{jsonPath}': {ex.Message}", true); } // Load cache if enabled and not remote @@ -484,4 +468,10 @@ public void CancelRequests() #endregion } + + public class ChatMessage : UndreamAI.LlamaLib.ChatMessage + { + public ChatMessage(string role, string content) : base(role, content) {} + public ChatMessage(UndreamAI.LlamaLib.ChatMessage other) : base(other.role, other.content) {} + } } diff --git a/Runtime/LLMCharacter.cs b/Runtime/LLMCharacter.cs new file mode 100644 index 00000000..2323882e --- /dev/null +++ b/Runtime/LLMCharacter.cs @@ -0,0 +1,34 @@ +using UnityEngine; + +namespace LLMUnity +{ + public class LLMCharacter : LLMAgent + { + public string playerName + { + get { return userRole; } + set { userRole = value; } + } + public string AIName + { + get { return assistantRole; } + set { assistantRole = value; } + } + public string prompt + { + get { return systemPrompt; } + set { systemPrompt = value; } + } + + public LLMCharacter() + { + Debug.LogWarning("LLMCharacter is deprecated and will be removed from future versions. Please Use LLMAgent instead."); + } + + public void SetPrompt(string newPrompt, bool clearChat = true) + { + systemPrompt = newPrompt; + if (clearChat) ClearChat(); + } + } +} diff --git a/Runtime/LLMCharacter.cs.meta b/Runtime/LLMCharacter.cs.meta new file mode 100644 index 00000000..98ada9cc --- /dev/null +++ b/Runtime/LLMCharacter.cs.meta @@ -0,0 +1,11 @@ +fileFormatVersion: 2 +guid: 9a7e2b282042f31439e8018a0e8e746b +MonoImporter: + externalObjects: {} + serializedVersion: 2 + defaultReferences: [] + executionOrder: 0 + icon: {instanceID: 0} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 0b4c0113..23e08b61 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -7,6 +7,7 @@ using UndreamAI.LlamaLib; using UnityEngine; using Newtonsoft.Json.Linq; +using System.Threading; namespace LLMUnity { @@ -187,12 +188,14 @@ public string grammar get => _grammar; set => SetGrammar(value); } + #endregion #region Private Fields protected UndreamAI.LlamaLib.LLMClient llmClient; private bool started = false; private string completionParametersCache = ""; + private readonly SemaphoreSlim startSemaphore = new SemaphoreSlim(1, 1); #endregion #region Unity Lifecycle @@ -206,12 +209,7 @@ public virtual void Awake() if (!remote) { AssignLLM(); - if (llm == null) - { - string error = $"No LLM assigned or detected for {GetType().Name} '{name}'!"; - LLMUnitySetup.LogError(error); - throw new InvalidOperationException(error); - } + if (llm == null) LLMUnitySetup.LogError($"No LLM assigned or detected for {GetType().Name} '{name}'!", true); } } @@ -238,14 +236,11 @@ protected virtual void Reset() #endregion #region Initialization - private void CheckLLMClient() + protected virtual async Task CheckLLMClient() { - if (llmClient == null) - { - string error = "LLMClient not initialized"; - LLMUnitySetup.LogError(error); - throw new System.InvalidOperationException(error); - } + await startSemaphore.WaitAsync(); + startSemaphore.Release(); + if (GetCaller() == null) LLMUnitySetup.LogError("LLMClient not initialized", true); } /// @@ -253,37 +248,41 @@ private void CheckLLMClient() /// protected virtual async Task SetupLLMClient() { + await startSemaphore.WaitAsync(); + string exceptionMessage = ""; try { if (!remote) { if (llm != null) await llm.WaitUntilReady(); - if (llm?.llmService == null) - { - throw new InvalidOperationException("Local LLM service is not available"); - } + if (llm?.llmService == null) LLMUnitySetup.LogError("Local LLM service is not available", true); llmClient = new UndreamAI.LlamaLib.LLMClient(llm.llmService); } else { llmClient = new UndreamAI.LlamaLib.LLMClient(host, port, APIKey); } + + SetGrammar(grammar); + completionParametersCache = ""; } catch (Exception ex) { + LLMUnitySetup.LogError(ex.Message); exceptionMessage = ex.Message; } + finally + { + startSemaphore.Release(); + } + if (llmClient == null || exceptionMessage != "") { string error = "llmClient not initialized"; if (exceptionMessage != "") error += ", error: " + exceptionMessage; - LLMUnitySetup.LogError(error); - throw new InvalidOperationException(error); + LLMUnitySetup.LogError(error, true); } - - SetGrammar(grammar); - completionParametersCache = ""; } /// @@ -439,8 +438,7 @@ protected virtual void SetCompletionParameters() if (llm != null && llm.embeddingsOnly) { string error = "LLM can't be used for completion, it is an embeddings only model!"; - LLMUnitySetup.LogError(error); - throw new Exception(error); + LLMUnitySetup.LogError(error, true); } var parameters = new JObject @@ -481,13 +479,13 @@ protected virtual void SetCompletionParameters() /// Text to tokenize /// Optional callback to receive the result /// List of token IDs - public virtual List Tokenize(string query, Callback> callback = null) + public virtual async Task> Tokenize(string query, Callback> callback = null) { if (string.IsNullOrEmpty(query)) { throw new ArgumentNullException(nameof(query)); } - CheckLLMClient(); + await CheckLLMClient(); List tokens = llmClient.Tokenize(query); callback?.Invoke(tokens); @@ -500,13 +498,13 @@ public virtual List Tokenize(string query, Callback> callback = n /// Token IDs to decode /// Optional callback to receive the result /// Decoded text - public virtual string Detokenize(List tokens, Callback callback = null) + public virtual async Task Detokenize(List tokens, Callback callback = null) { if (tokens == null) { throw new ArgumentNullException(nameof(tokens)); } - CheckLLMClient(); + await CheckLLMClient(); string text = llmClient.Detokenize(tokens); callback?.Invoke(text); @@ -519,13 +517,13 @@ public virtual string Detokenize(List tokens, Callback callback = n /// Text to embed /// Optional callback to receive the result /// Embedding vector - public virtual List Embeddings(string query, Callback> callback = null) + public virtual async Task> Embeddings(string query, Callback> callback = null) { if (string.IsNullOrEmpty(query)) { throw new ArgumentNullException(nameof(query)); } - CheckLLMClient(); + await CheckLLMClient(); List embeddings = llmClient.Embeddings(query); callback?.Invoke(embeddings); @@ -533,31 +531,17 @@ public virtual List Embeddings(string query, Callback> callba } /// - /// Generates text completion for the given prompt. - /// - /// Input prompt text - /// Optional streaming callback for partial responses - /// Slot ID for the request (-1 for auto-assignment) - /// Generated completion text - public virtual string Completion(string prompt, LlamaLib.CharArrayCallback callback = null, int id_slot = -1) - { - CheckLLMClient(); - SetCompletionParameters(); - return llmClient.Completion(prompt, callback, id_slot); - } - - /// - /// Generates text completion asynchronously. + /// Generates text completion. /// /// Input prompt text /// Optional streaming callback for partial responses /// Optional callback when completion finishes /// Slot ID for the request (-1 for auto-assignment) /// Task that returns the generated completion text - public virtual async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallback callback = null, + public virtual async Task Completion(string prompt, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, int id_slot = -1) { - CheckLLMClient(); + await CheckLLMClient(); SetCompletionParameters(); string result = await llmClient.CompletionAsync(prompt, callback, id_slot); completionCallback?.Invoke(); diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index 86b16d5a..0b0a6cc4 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -194,11 +194,12 @@ public static void LogWarning(string message) Debug.LogWarning(message); } - public static void LogError(string message) + public static void LogError(string message, bool throwException = false) { if ((int)DebugMode > (int)DebugModeType.Error) return; Debug.LogError(message); foreach (Callback errorCallback in errorCallbacks) errorCallback(message); + if (throwException) throw new Exception(message); } static void LoadPlayerPrefs() diff --git a/Runtime/LLMUtils.cs b/Runtime/LLMUtils.cs index f18d37a3..86d42195 100644 --- a/Runtime/LLMUtils.cs +++ b/Runtime/LLMUtils.cs @@ -214,11 +214,32 @@ public static LlamaLib.CharArrayCallback WrapCallbackForAsync( return (string msg) => { - if (owner == null) return; - if (context != null) - context.Post(_ => { if (owner != null) callback(msg); }, null); - else - callback(msg); + try + { + if (owner == null) return; + if (context != null) + { + context.Post(_ => + { + try + { + if (owner != null) callback(msg); + } + catch (Exception e) + { + LLMUnitySetup.LogError($"Exception in callback: {e}"); + } + }, null); + } + else + { + callback(msg); + } + } + catch (Exception e) + { + LLMUnitySetup.LogError($"Exception in callback wrapper: {e}"); + } }; } } diff --git a/Runtime/LlamaLib/LLM.cs b/Runtime/LlamaLib/LLM.cs index 5dcd9d20..cfad6d74 100644 --- a/Runtime/LlamaLib/LLM.cs +++ b/Runtime/LlamaLib/LLM.cs @@ -95,7 +95,7 @@ public string ApplyTemplate(JArray messages = null) if (messages == null) throw new ArgumentNullException(nameof(messages)); CheckLlamaLib(); - IntPtr result = llamaLib.LLM_Apply_Template(llm, messages.ToString()); + IntPtr result = llamaLib.LLM_Apply_Template(llm, messages.ToString() ?? string.Empty); return Marshal.PtrToStringAnsi(result) ?? string.Empty; } @@ -105,7 +105,7 @@ public List Tokenize(string content) throw new ArgumentNullException(nameof(content)); CheckLlamaLib(); - IntPtr result = llamaLib.LLM_Tokenize(llm, content); + IntPtr result = llamaLib.LLM_Tokenize(llm, content ?? string.Empty); string resultStr = Marshal.PtrToStringAnsi(result) ?? string.Empty; List ret = new List(); try @@ -124,7 +124,7 @@ public string Detokenize(List tokens) CheckLlamaLib(); JArray tokensJSON = JArray.FromObject(tokens); - IntPtr result = llamaLib.LLM_Detokenize(llm, tokensJSON.ToString()); + IntPtr result = llamaLib.LLM_Detokenize(llm, tokensJSON.ToString() ?? string.Empty); return Marshal.PtrToStringAnsi(result) ?? string.Empty; } @@ -142,7 +142,7 @@ public List Embeddings(string content) CheckLlamaLib(); - IntPtr result = llamaLib.LLM_Embeddings(llm, content); + IntPtr result = llamaLib.LLM_Embeddings(llm, content ?? string.Empty); string resultStr = Marshal.PtrToStringAnsi(result) ?? string.Empty; List ret = new List(); @@ -158,7 +158,7 @@ public List Embeddings(string content) public void SetCompletionParameters(JObject parameters = null) { CheckLlamaLib(); - llamaLib.LLM_Set_Completion_Parameters(llm, parameters.ToString()); + llamaLib.LLM_Set_Completion_Parameters(llm, parameters?.ToString() ?? string.Empty); } public JObject GetCompletionParameters() @@ -178,7 +178,7 @@ public JObject GetCompletionParameters() public void SetGrammar(string grammar) { CheckLlamaLib(); - llamaLib.LLM_Set_Grammar(llm, grammar); + llamaLib.LLM_Set_Grammar(llm, grammar ?? string.Empty); } public string GetGrammar() @@ -198,7 +198,7 @@ public void CheckCompletionInternal(string prompt) public string CompletionInternal(string prompt, LlamaLib.CharArrayCallback callback, int idSlot) { IntPtr result; - result = llamaLib.LLM_Completion(llm, prompt, callback, idSlot); + result = llamaLib.LLM_Completion(llm, prompt ?? string.Empty, callback, idSlot); return Marshal.PtrToStringAnsi(result) ?? string.Empty; } @@ -227,7 +227,7 @@ public string SaveSlot(int idSlot, string filepath) if (string.IsNullOrEmpty(filepath)) throw new ArgumentNullException(nameof(filepath)); - IntPtr result = llamaLib.LLM_Save_Slot(llm, idSlot, filepath); + IntPtr result = llamaLib.LLM_Save_Slot(llm, idSlot, filepath ?? string.Empty); return Marshal.PtrToStringAnsi(result) ?? string.Empty; } @@ -236,7 +236,7 @@ public string LoadSlot(int idSlot, string filepath) if (string.IsNullOrEmpty(filepath) || !File.Exists(filepath)) throw new ArgumentNullException(nameof(filepath)); - IntPtr result = llamaLib.LLM_Load_Slot(llm, idSlot, filepath); + IntPtr result = llamaLib.LLM_Load_Slot(llm, idSlot, filepath ?? string.Empty); return Marshal.PtrToStringAnsi(result) ?? string.Empty; } @@ -258,7 +258,13 @@ protected LLMProvider(LlamaLib llamaLibInstance) : base(llamaLibInstance) {} public void SetTemplate(string template) { CheckLlamaLib(); - llamaLib.LLM_Set_Template(llm, template); + llamaLib.LLM_Set_Template(llm, template ?? string.Empty); + } + + public void EnableReasoning(bool enableReasoning) + { + CheckLlamaLib(); + llamaLib.LLM_Enable_Reasoning(llm, enableReasoning); } // LoRA Weight methods @@ -278,7 +284,7 @@ public bool LoraWeight(List loras) throw new ArgumentNullException(nameof(loras)); var lorasJSON = BuildLoraWeightJSON(loras); - return llamaLib.LLM_Lora_Weight(llm, lorasJSON); + return llamaLib.LLM_Lora_Weight(llm, lorasJSON ?? string.Empty); } public bool LoraWeight(params LoraIdScale[] loras) @@ -354,10 +360,10 @@ public void Stop() public void StartServer(string host = "0.0.0.0", int port = -1, string apiKey = "") { CheckLlamaLib(); - if (string.IsNullOrEmpty(host)) - host = "0.0.0.0"; + host = string.IsNullOrEmpty(host) ? "0.0.0.0" : host; + apiKey = apiKey ?? string.Empty; - llamaLib.LLM_Start_Server(llm, host, port, apiKey ?? string.Empty); + llamaLib.LLM_Start_Server(llm, host, port, apiKey); } public void StopServer() @@ -386,7 +392,7 @@ public void SetSSL(string sslCert, string sslKey) throw new ArgumentNullException(nameof(sslKey)); CheckLlamaLib(); - llamaLib.LLM_Set_SSL(llm, sslCert, sslKey); + llamaLib.LLM_Set_SSL(llm, sslCert ?? string.Empty, sslKey ?? string.Empty); } public int EmbeddingSize() diff --git a/Runtime/LlamaLib/LLMAgent.cs b/Runtime/LlamaLib/LLMAgent.cs index 11ee4a0e..4f12eb03 100644 --- a/Runtime/LlamaLib/LLMAgent.cs +++ b/Runtime/LlamaLib/LLMAgent.cs @@ -8,23 +8,23 @@ namespace UndreamAI.LlamaLib { // Data structure for chat messages - public struct ChatMessage + public class ChatMessage { - public string Role { get; set; } - public string Content { get; set; } + public string role { get; set; } + public string content { get; set; } - public ChatMessage(string role, string content) + public ChatMessage(string _role, string _content) { - Role = role; - Content = content; + role = _role; + content = _content; } public JObject ToJson() { return new JObject { - ["role"] = Role, - ["content"] = Content + ["role"] = role, + ["content"] = content }; } @@ -35,6 +35,29 @@ public static ChatMessage FromJson(JObject json) json["content"]?.ToString() ?? string.Empty ); } + + public override bool Equals(object obj) + { + if (obj is not ChatMessage other) + return false; + return role == other.role && content == other.content; + } + + public override int GetHashCode() + { + unchecked + { + int hash = 17; + hash = hash * 23 + (role?.GetHashCode() ?? 0); + hash = hash * 23 + (content?.GetHashCode() ?? 0); + return hash; + } + } + + public override string ToString() + { + return $"{role}: {content}"; + } } // LLMAgent class @@ -52,7 +75,10 @@ public LLMAgent(LLMLocal _llm, string _systemPrompt = "", string _userRole = "us llmBase = _llm; llamaLib = llmBase.llamaLib; - llm = llamaLib.LLMAgent_Construct(llmBase.llm, _systemPrompt ?? "", _userRole ?? "user", _assistantRole ?? "assistant"); + llm = llamaLib.LLMAgent_Construct(llmBase.llm, + _systemPrompt ?? string.Empty, + _userRole ?? "user", + _assistantRole ?? "assistant"); if (llm == IntPtr.Zero) throw new InvalidOperationException("Failed to create LLMAgent"); } @@ -81,7 +107,7 @@ public string UserRole set { CheckLlamaLib(); - llamaLib.LLMAgent_Set_User_Role(llm, value); + llamaLib.LLMAgent_Set_User_Role(llm, value ?? string.Empty); } } @@ -95,7 +121,7 @@ public string AssistantRole set { CheckLlamaLib(); - llamaLib.LLMAgent_Set_Assistant_Role(llm, value); + llamaLib.LLMAgent_Set_Assistant_Role(llm, value ?? string.Empty); } } @@ -109,7 +135,7 @@ public string SystemPrompt set { CheckLlamaLib(); - llamaLib.LLMAgent_Set_System_Prompt(llm, value); + llamaLib.LLMAgent_Set_System_Prompt(llm, value ?? string.Empty); } } @@ -180,24 +206,24 @@ public void ClearHistory() public void AddMessage(string role, string content) { CheckLlamaLib(); - llamaLib.LLMAgent_Add_Message(llm, role, content); + llamaLib.LLMAgent_Add_Message(llm, role ?? string.Empty, content ?? string.Empty); } public void AddUserMessage(string content) { CheckLlamaLib(); - llamaLib.LLMAgent_Add_Message(llm, UserRole, content); + llamaLib.LLMAgent_Add_Message(llm, UserRole, content ?? string.Empty); } public void AddAssistantMessage(string content) { CheckLlamaLib(); - llamaLib.LLMAgent_Add_Message(llm, AssistantRole, content); + llamaLib.LLMAgent_Add_Message(llm, AssistantRole, content ?? string.Empty); } public void AddMessage(ChatMessage message) { - AddMessage(message.Role, message.Content); + AddMessage(message.role, message.content); } public void RemoveLastMessage() @@ -212,7 +238,7 @@ public void SaveHistory(string filepath) throw new ArgumentNullException(nameof(filepath)); CheckLlamaLib(); - llamaLib.LLMAgent_Save_History(llm, filepath); + llamaLib.LLMAgent_Save_History(llm, filepath ?? string.Empty); } public void LoadHistory(string filepath) @@ -221,7 +247,7 @@ public void LoadHistory(string filepath) throw new ArgumentNullException(nameof(filepath)); CheckLlamaLib(); - llamaLib.LLMAgent_Load_History(llm, filepath); + llamaLib.LLMAgent_Load_History(llm, filepath ?? string.Empty); } public int GetHistorySize() @@ -234,7 +260,7 @@ public int GetHistorySize() public string Chat(string userPrompt, bool addToHistory = true, LlamaLib.CharArrayCallback callback = null, bool returnResponseJson = false) { CheckLlamaLib(); - IntPtr result = llamaLib.LLMAgent_Chat(llm, userPrompt, addToHistory, callback, returnResponseJson); + IntPtr result = llamaLib.LLMAgent_Chat(llm, userPrompt ?? string.Empty, addToHistory, callback, returnResponseJson); return Marshal.PtrToStringAnsi(result) ?? string.Empty; } @@ -260,7 +286,7 @@ public string SaveSlot(string filepath) throw new ArgumentNullException(nameof(filepath)); CheckLlamaLib(); - IntPtr result = llamaLib.LLM_Save_Slot(llm, SlotId, filepath); + IntPtr result = llamaLib.LLM_Save_Slot(llm, SlotId, filepath ?? string.Empty); return Marshal.PtrToStringAnsi(result) ?? string.Empty; } @@ -270,7 +296,7 @@ public string LoadSlot(string filepath) throw new ArgumentNullException(nameof(filepath)); CheckLlamaLib(); - IntPtr result = llamaLib.LLM_Load_Slot(llm, SlotId, filepath); + IntPtr result = llamaLib.LLM_Load_Slot(llm, SlotId, filepath ?? string.Empty); return Marshal.PtrToStringAnsi(result) ?? string.Empty; } diff --git a/Runtime/LlamaLib/LLMClient.cs b/Runtime/LlamaLib/LLMClient.cs index edc0ab44..7c46b89a 100644 --- a/Runtime/LlamaLib/LLMClient.cs +++ b/Runtime/LlamaLib/LLMClient.cs @@ -40,10 +40,10 @@ private IntPtr CreateClient(LLMProvider provider) private IntPtr CreateRemoteClient(string url, int port, string apiKey = "") { - var llm = llamaLib.LLMClient_Construct_Remote(url, port, apiKey); + var llm = llamaLib.LLMClient_Construct_Remote(url ?? string.Empty, port, apiKey ?? string.Empty); if (llm == IntPtr.Zero) throw new InvalidOperationException($"Failed to create remote LLMClient for {url}:{port}"); return llm; } } -} \ No newline at end of file +} diff --git a/Runtime/LlamaLib/LLMService.cs b/Runtime/LlamaLib/LLMService.cs index 4347023f..3a9eb772 100644 --- a/Runtime/LlamaLib/LLMService.cs +++ b/Runtime/LlamaLib/LLMService.cs @@ -19,9 +19,7 @@ public LLMService(string modelPath, int numSlots = 1, try { llamaLib = new LlamaLib(numGpuLayers > 0); - llm = CreateLLM( - llamaLib, - modelPath, numSlots, numThreads, numGpuLayers, + llm = CreateLLM(llamaLib, modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraPaths); } catch @@ -48,8 +46,8 @@ public static LLMService FromCommand(string paramsString) IntPtr llmInstance = IntPtr.Zero; try { - llamaLibInstance = new LlamaLib(LlamaLib.Has_GPU_Layers(paramsString)); - llmInstance = llamaLibInstance.LLMService_From_Command(paramsString); + llamaLibInstance = new LlamaLib(LlamaLib.Has_GPU_Layers(paramsString ?? string.Empty)); + llmInstance = llamaLibInstance.LLMService_From_Command(paramsString ?? string.Empty); } catch { @@ -59,9 +57,7 @@ public static LLMService FromCommand(string paramsString) return new LLMService(llamaLibInstance, llmInstance); } - public static IntPtr CreateLLM( - LlamaLib llamaLib, - string modelPath, int numSlots, int numThreads, + public static IntPtr CreateLLM(LlamaLib llamaLib, string modelPath, int numSlots, int numThreads, int numGpuLayers, bool flashAttention, int contextSize, int batchSize, bool embeddingOnly, string[] loraPaths) { @@ -81,7 +77,7 @@ public static IntPtr CreateLLM( if (string.IsNullOrEmpty(loraPaths[i])) throw new ArgumentException($"Lora path at index {i} is null or empty"); - IntPtr stringPtr = Marshal.StringToHGlobalAnsi(loraPaths[i]); + IntPtr stringPtr = Marshal.StringToHGlobalAnsi(loraPaths[i] ?? string.Empty); Marshal.WriteIntPtr(loraPathsPtr, i * IntPtr.Size, stringPtr); } } @@ -102,7 +98,7 @@ public static IntPtr CreateLLM( try { var llm = llamaLib.LLMService_Construct( - modelPath, numSlots, numThreads, numGpuLayers, + modelPath ?? string.Empty, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraPathCount, loraPathsPtr); diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index fbec7625..cd340c4b 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -50,6 +50,10 @@ public LlamaLib(bool gpu = false) public static extern void LLM_Logging_Stop_Static(); public static void LoggingStop() => LLM_Logging_Stop_Static(); + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Enable_Reasoning")] + public static extern void LLM_Enable_Reasoning_Static(IntPtr llm, [MarshalAs(UnmanagedType.I1)] bool enable_reasoning); + public void LLM_Enable_Reasoning(IntPtr llm, bool enable_reasoning) => LLM_Enable_Reasoning_Static(llm, enable_reasoning); + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Get_Template")] public static extern IntPtr LLM_Get_Template_Static(IntPtr llm); public IntPtr LLM_Get_Template(IntPtr llm) => LLM_Get_Template_Static(llm); @@ -71,13 +75,13 @@ public LlamaLib(bool gpu = false) public IntPtr LLM_Embeddings(IntPtr llm, string query) => LlamaLib.LLM_Embeddings_Static(llm, query); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Completion")] - public static extern IntPtr LLM_Completion_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query, CharArrayCallback callback, int id_slot = -1, bool return_response_json = false); + public static extern IntPtr LLM_Completion_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query, CharArrayCallback callback, int id_slot = -1, [MarshalAs(UnmanagedType.I1)] bool return_response_json = false); public IntPtr LLM_Completion(IntPtr llm, string query, CharArrayCallback callback, int id_slot = -1, bool return_response_json = false) => LlamaLib.LLM_Completion_Static(llm, query, callback, id_slot, return_response_json); // LLMLocal functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Set_Template")] - public static extern IntPtr LLM_Set_Template_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string template); - public IntPtr LLM_Set_Template(IntPtr llm, string template) => LLM_Set_Template_Static(llm, template); + public static extern void LLM_Set_Template_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string template); + public void LLM_Set_Template(IntPtr llm, string template) => LLM_Set_Template_Static(llm, template); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Save_Slot")] public static extern IntPtr LLM_Save_Slot_Static(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); @@ -421,6 +425,7 @@ private void LoadFunctionPointers() LLM_Logging_Stop = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Logging_Stop"); LLM_Get_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Get_Template"); LLM_Set_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_Template"); + LLM_Enable_Reasoning = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Enable_Reasoning"); LLM_Apply_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Apply_Template"); LLM_Tokenize = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Tokenize"); LLM_Detokenize = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Detokenize"); @@ -493,7 +498,10 @@ private void LoadFunctionPointers() public delegate IntPtr LLM_Get_Template_Delegate(IntPtr llm); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Set_Template_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string template); + public delegate void LLM_Set_Template_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string template); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Enable_Reasoning_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.I1)] bool enable_reasoning); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate IntPtr LLM_Apply_Template_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string messages_as_json); @@ -508,7 +516,7 @@ private void LoadFunctionPointers() public delegate IntPtr LLM_Embeddings_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Completion_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query, CharArrayCallback callback, int id_slot = -1, bool return_response_json = false); + public delegate IntPtr LLM_Completion_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query, CharArrayCallback callback, int id_slot = -1, [MarshalAs(UnmanagedType.I1)] bool return_response_json = false); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate IntPtr LLM_Save_Slot_Delegate(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); @@ -532,6 +540,7 @@ private void LoadFunctionPointers() public delegate void LLM_Start_Delegate(IntPtr llm); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + [return : MarshalAs(UnmanagedType.I1)] public delegate bool LLM_Started_Delegate(IntPtr llm); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] @@ -671,6 +680,7 @@ public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, public LLM_Logging_Stop_Delegate LLM_Logging_Stop; public LLM_Get_Template_Delegate LLM_Get_Template; public LLM_Set_Template_Delegate LLM_Set_Template; + public LLM_Enable_Reasoning_Delegate LLM_Enable_Reasoning; public LLM_Apply_Template_Delegate LLM_Apply_Template; public LLM_Tokenize_Delegate LLM_Tokenize; public LLM_Detokenize_Delegate LLM_Detokenize; diff --git a/Runtime/LlamaLib/LlamaLib.csproj b/Runtime/LlamaLib/LlamaLib.csproj new file mode 100644 index 00000000..7fdd2d64 --- /dev/null +++ b/Runtime/LlamaLib/LlamaLib.csproj @@ -0,0 +1,67 @@ + + + net6.0;net8.0;netstandard2.0 + latest + true + AnyCPU;x64;ARM64 + true + snupkg + + + LlamaLib + 2.0.0 + Antonis Maropoulos + UndreamAI + LlamaLib - Cross-platform library for local LLMs + https://undream.ai + MIT + README.md + https://github.com/undreamai/LlamaLib + git + + + + + AnyCPU + + + $(DefineConstants);IOS + $(DefineConstants);VISIONOS + + + + $(DefineConstants);ANDROID;ANDROID_ARM64 + + + + $(DefineConstants);ANDROID;ANDROID_X64 + + + + $(DefineConstants);OSX;OSX_ARM64 + + + + $(DefineConstants);OSX;OSX_X64 + + + + LINUX + WINDOWS + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/Runtime/LlamaLib/LlamaLib.csproj.meta b/Runtime/LlamaLib/LlamaLib.csproj.meta new file mode 100644 index 00000000..a98bc22d --- /dev/null +++ b/Runtime/LlamaLib/LlamaLib.csproj.meta @@ -0,0 +1,7 @@ +fileFormatVersion: 2 +guid: 12607213d34f6819d9781187e66089c4 +DefaultImporter: + externalObjects: {} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LlamaLib/LlamaLib.targets b/Runtime/LlamaLib/LlamaLib.targets new file mode 100644 index 00000000..c1c3be80 --- /dev/null +++ b/Runtime/LlamaLib/LlamaLib.targets @@ -0,0 +1,75 @@ + + + 2.0.0 + $(NuGetPackageRoot)LlamaLib + $(OutputPath)runtimes\$(RuntimeIdentifier)\native + LlamaLib-v$(LlamaLibVersion) + https://github.com/undreamai/LlamaLib/releases/download/v$(LlamaLibVersion)/$(LlamaLibZipName).zip + $(LlamaLibCacheDir)\$(LlamaLibZipName) + $(LlamaLibExtractDir).zip + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + PreserveNewest + PreserveNewest + runtimes\$(RuntimeIdentifier)\%(RecursiveDir)%(Filename)%(Extension) + + + + + + + + + + + + + + + + + + PreserveNewest + PreserveNewest + runtimes\%(RecursiveDir)%(Filename)%(Extension) + + + + + + + + \ No newline at end of file diff --git a/Runtime/LlamaLib/LlamaLib.targets.meta b/Runtime/LlamaLib/LlamaLib.targets.meta new file mode 100644 index 00000000..22103294 --- /dev/null +++ b/Runtime/LlamaLib/LlamaLib.targets.meta @@ -0,0 +1,7 @@ +fileFormatVersion: 2 +guid: 2d7178543442603e19c79d712f3aefb9 +DefaultImporter: + externalObjects: {} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LlamaLib/README.md b/Runtime/LlamaLib/README.md new file mode 100644 index 00000000..45b983be --- /dev/null +++ b/Runtime/LlamaLib/README.md @@ -0,0 +1 @@ +hi diff --git a/Runtime/LlamaLib/README.md.meta b/Runtime/LlamaLib/README.md.meta new file mode 100644 index 00000000..286eff47 --- /dev/null +++ b/Runtime/LlamaLib/README.md.meta @@ -0,0 +1,7 @@ +fileFormatVersion: 2 +guid: 8de0ab6e07a0c443c91c9a8e8ce06268 +TextScriptImporter: + externalObjects: {} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/RAG/Chunking.cs b/Runtime/RAG/Chunking.cs index 094b4b2b..4040e663 100644 --- a/Runtime/RAG/Chunking.cs +++ b/Runtime/RAG/Chunking.cs @@ -37,7 +37,7 @@ public void ReturnChunks(bool returnChunks) /// /// phrase /// List of start/end indices of the split chunks - public abstract List<(int, int)> Split(string input); + public abstract Task> Split(string input); /// /// Retrieves the phrase with the specific id @@ -60,15 +60,15 @@ public override string Get(int key) /// input phrase /// data group to add it to /// phrase id - public override int Add(string inputString, string group = "") + public override async Task Add(string inputString, string group = "") { int key = nextKey++; // sentence -> phrase List sentenceIds = new List(); - foreach ((int startIndex, int endIndex) in Split(inputString)) + foreach ((int startIndex, int endIndex) in await Split(inputString)) { string sentenceText = inputString.Substring(startIndex, endIndex - startIndex + 1); - int sentenceId = search.Add(sentenceText, group); + int sentenceId = await search.Add(sentenceText, group); sentenceIds.Add(sentenceId); sentenceToPhrase[sentenceId] = key; @@ -166,9 +166,9 @@ public override int Count(string group) /// search query /// data group to search in /// incremental search key - public override int IncrementalSearch(string queryString, string group = "") + public override async Task IncrementalSearch(string queryString, string group = "") { - return search.IncrementalSearch(queryString, group); + return await search.IncrementalSearch(queryString, group); } /// diff --git a/Runtime/RAG/RAG.cs b/Runtime/RAG/RAG.cs index d83e57ca..a1b26183 100644 --- a/Runtime/RAG/RAG.cs +++ b/Runtime/RAG/RAG.cs @@ -117,13 +117,13 @@ public virtual void OnValidate() #endif public override string Get(int key) { return GetSearcher().Get(key); } - public override int Add(string inputString, string group = "") { return GetSearcher().Add(inputString, group); } + public override async Task Add(string inputString, string group = "") { return await GetSearcher().Add(inputString, group); } public override int Remove(string inputString, string group = "") { return GetSearcher().Remove(inputString, group); } public override void Remove(int key) { GetSearcher().Remove(key); } public override int Count() { return GetSearcher().Count(); } public override int Count(string group) { return GetSearcher().Count(group); } public override void Clear() { GetSearcher().Clear(); } - public override int IncrementalSearch(string queryString, string group = "") { return GetSearcher().IncrementalSearch(queryString, group);} + public override async Task IncrementalSearch(string queryString, string group = "") { return await GetSearcher().IncrementalSearch(queryString, group);} public override (string[], float[], bool) IncrementalFetch(int fetchKey, int k) { return GetSearcher().IncrementalFetch(fetchKey, k);} public override (int[], float[], bool) IncrementalFetchKeys(int fetchKey, int k) { return GetSearcher().IncrementalFetchKeys(fetchKey, k);} public override void IncrementalSearchComplete(int fetchKey) { GetSearcher().IncrementalSearchComplete(fetchKey);} diff --git a/Runtime/RAG/Search.cs b/Runtime/RAG/Search.cs index 84e4938f..249beafb 100644 --- a/Runtime/RAG/Search.cs +++ b/Runtime/RAG/Search.cs @@ -33,7 +33,7 @@ public abstract class Searchable : MonoBehaviour /// input phrase /// data group to add it to /// phrase id - public abstract int Add(string inputString, string group = ""); + public abstract Task Add(string inputString, string group = ""); /// /// Removes a phrase from the search. @@ -73,7 +73,7 @@ public abstract class Searchable : MonoBehaviour /// search query /// data group to search in /// incremental search key - public abstract int IncrementalSearch(string queryString, string group = ""); + public abstract Task IncrementalSearch(string queryString, string group = ""); /// /// Retrieves the most similar search results in batches (incremental search). @@ -112,9 +112,9 @@ public abstract class Searchable : MonoBehaviour /// `bool` indicating if the search is exhausted. /// /// - public (string[], float[]) Search(string queryString, int k, string group = "") + public async Task<(string[], float[])> Search(string queryString, int k, string group = "") { - int fetchKey = IncrementalSearch(queryString, group); + int fetchKey = await IncrementalSearch(queryString, group); (string[] phrases, float[] distances, bool completed) = IncrementalFetch(fetchKey, k); if (!completed) IncrementalSearchComplete(fetchKey); return (phrases, distances); @@ -290,11 +290,11 @@ public void SetLLM(LLM llm) /// Array of distances for each result (`float[]`). /// /// - public (string[], float[]) SearchFromList(string query, string[] searchList) + public async Task<(string[], float[])> SearchFromList(string query, string[] searchList) { - float[] embedding = Encode(query); + float[] embedding = await Encode(query); float[][] embeddingsList = new float[searchList.Length][]; - for (int i = 0; i < searchList.Length; i++) embeddingsList[i] = Encode(searchList[i]); + for (int i = 0; i < searchList.Length; i++) embeddingsList[i] = await Encode(searchList[i]); float[] unsortedDistances = InverseDotProduct(embedding, embeddingsList); List<(string, float)> sortedLists = searchList.Zip(unsortedDistances, (first, second) => (first, second)) @@ -339,19 +339,19 @@ public static float[] InverseDotProduct(float[] vector1, float[][] vector2) return results; } - public virtual float[] Encode(string inputString) + public virtual async Task Encode(string inputString) { - return llmEmbedder.Embeddings(inputString).ToArray(); + return (await llmEmbedder.Embeddings(inputString)).ToArray(); } - public virtual List Tokenize(string query, Callback> callback = null) + public virtual async Task> Tokenize(string query, Callback> callback = null) { - return llmEmbedder.Tokenize(query, callback); + return await llmEmbedder.Tokenize(query, callback); } - public virtual string Detokenize(List tokens, Callback callback = null) + public async Task Detokenize(List tokens, Callback callback = null) { - return llmEmbedder.Detokenize(tokens, callback); + return await llmEmbedder.Detokenize(tokens, callback); } public override string Get(int key) @@ -360,10 +360,10 @@ public override string Get(int key) return null; } - public override int Add(string inputString, string group = "") + public override async Task Add(string inputString, string group = "") { int key = nextKey++; - AddInternal(key, Encode(inputString)); + AddInternal(key, await Encode(inputString)); data[key] = inputString; if (!dataSplits.ContainsKey(group)) dataSplits[group] = new List(){key}; @@ -421,9 +421,9 @@ public override int Count(string group) return dataSplit.Count; } - public override int IncrementalSearch(string queryString, string group = "") + public override async Task IncrementalSearch(string queryString, string group = "") { - return IncrementalSearch(Encode(queryString), group); + return IncrementalSearch(await Encode(queryString), group); } public override void Save(ZipArchive archive) diff --git a/Runtime/RAG/SentenceSplitter.cs b/Runtime/RAG/SentenceSplitter.cs index 3d46f938..809300f0 100644 --- a/Runtime/RAG/SentenceSplitter.cs +++ b/Runtime/RAG/SentenceSplitter.cs @@ -25,28 +25,30 @@ public class SentenceSplitter : Chunking /// /// phrase /// List of start/end indices of the split chunks - public override List<(int, int)> Split(string input) + public override async Task> Split(string input) { List<(int, int)> indices = new List<(int, int)>(); - int startIndex = 0; - bool seenChar = false; - for (int i = 0; i < input.Length; i++) - { - bool isDelimiter = delimiters.Contains(input[i]); - if (isDelimiter) + await Task.Run(() => { + int startIndex = 0; + bool seenChar = false; + for (int i = 0; i < input.Length; i++) { - while ((i < input.Length - 1) && (delimiters.Contains(input[i + 1]) || char.IsWhiteSpace(input[i + 1]))) i++; + bool isDelimiter = delimiters.Contains(input[i]); + if (isDelimiter) + { + while ((i < input.Length - 1) && (delimiters.Contains(input[i + 1]) || char.IsWhiteSpace(input[i + 1]))) i++; + } + else + { + if (!seenChar) seenChar = !char.IsWhiteSpace(input[i]); + } + if ((i == input.Length - 1) || (isDelimiter && seenChar)) + { + indices.Add((startIndex, i)); + startIndex = i + 1; + } } - else - { - if (!seenChar) seenChar = !char.IsWhiteSpace(input[i]); - } - if ((i == input.Length - 1) || (isDelimiter && seenChar)) - { - indices.Add((startIndex, i)); - startIndex = i + 1; - } - } + }); return indices; } } diff --git a/Runtime/RAG/TokenSplitter.cs b/Runtime/RAG/TokenSplitter.cs index 7abf563b..cb57313b 100644 --- a/Runtime/RAG/TokenSplitter.cs +++ b/Runtime/RAG/TokenSplitter.cs @@ -47,17 +47,17 @@ protected int DetermineEndIndex(string input, string detokenised, int startIndex /// /// phrase /// List of start/end indices of the split chunks - public override List<(int, int)> Split(string input) + public override async Task> Split(string input) { List<(int, int)> indices = new List<(int, int)>(); - List tokens = search.Tokenize(input); + List tokens = await search.Tokenize(input); if (tokens.Count == 0) return indices; int startIndex = 0; for (int i = 0; i < tokens.Count; i += numTokens) { int batchTokens = Math.Min(tokens.Count, i + numTokens) - i; - string detokenised = search.Detokenize(tokens.GetRange(i, batchTokens)); + string detokenised = await search.Detokenize(tokens.GetRange(i, batchTokens)); int endIndex = DetermineEndIndex(input, detokenised, startIndex); indices.Add((startIndex, endIndex)); startIndex = endIndex + 1; diff --git a/Runtime/RAG/WordSplitter.cs b/Runtime/RAG/WordSplitter.cs index 69fbb6ca..251bdff5 100644 --- a/Runtime/RAG/WordSplitter.cs +++ b/Runtime/RAG/WordSplitter.cs @@ -23,7 +23,7 @@ public class WordSplitter : Chunking /// /// phrase /// List of start/end indices of the split chunks - public override List<(int, int)> Split(string input) + public override async Task> Split(string input) { bool IsBoundary(char c) { @@ -31,25 +31,27 @@ bool IsBoundary(char c) } List<(int, int)> indices = new List<(int, int)>(); - List<(int, int)> wordIndices = new List<(int, int)>(); - int startIndex = 0; - int endIndex; - for (int i = 0; i < input.Length; i++) - { - if (i == input.Length - 1 || IsBoundary(input[i])) + await Task.Run(() => { + List<(int, int)> wordIndices = new List<(int, int)>(); + int startIndex = 0; + int endIndex; + for (int i = 0; i < input.Length; i++) { - while (i < input.Length - 1 && IsBoundary(input[i + 1])) i++; - endIndex = i; - wordIndices.Add((startIndex, endIndex)); - startIndex = i + 1; + if (i == input.Length - 1 || IsBoundary(input[i])) + { + while (i < input.Length - 1 && IsBoundary(input[i + 1])) i++; + endIndex = i; + wordIndices.Add((startIndex, endIndex)); + startIndex = i + 1; + } } - } - for (int i = 0; i < wordIndices.Count; i += numWords) - { - int iTo = Math.Min(wordIndices.Count - 1, i + numWords - 1); - indices.Add((wordIndices[i].Item1, wordIndices[iTo].Item2)); - } + for (int i = 0; i < wordIndices.Count; i += numWords) + { + int iTo = Math.Min(wordIndices.Count - 1, i + numWords - 1); + indices.Add((wordIndices[i].Item1, wordIndices[iTo].Item2)); + } + }); return indices; } } diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 90b70423..7895bf1e 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -1,573 +1,613 @@ -// using NUnit.Framework; -// using LLMUnity; -// using UnityEngine; -// using System.Threading.Tasks; -// using System.Collections.Generic; -// using System; -// using System.Collections; -// using System.IO; -// using System.Linq; -// using System.Threading; -// using UnityEngine.TestTools; - -// namespace LLMUnityTests -// { -// public class TestLLMLoraAssignment -// { -// [Test] -// public void TestLoras() -// { -// GameObject gameObject = new GameObject(); -// gameObject.SetActive(false); -// LLM llm = gameObject.AddComponent(); - -// string lora1 = LLMUnitySetup.GetFullPath("lala"); -// string lora2Rel = "test/lala"; -// string lora2 = LLMUnitySetup.GetAssetPath(lora2Rel); -// LLMUnitySetup.CreateEmptyFile(lora1); -// Directory.CreateDirectory(Path.GetDirectoryName(lora2)); -// LLMUnitySetup.CreateEmptyFile(lora2); - -// llm.AddLora(lora1); -// llm.AddLora(lora2); -// Assert.AreEqual(llm.lora, lora1 + "," + lora2); -// Assert.AreEqual(llm.loraWeights, "1,1"); - -// llm.RemoveLoras(); -// Assert.AreEqual(llm.lora, ""); -// Assert.AreEqual(llm.loraWeights, ""); - -// llm.AddLora(lora1, 0.8f); -// llm.AddLora(lora2Rel, 0.9f); -// Assert.AreEqual(llm.lora, lora1 + "," + lora2); -// Assert.AreEqual(llm.loraWeights, "0.8,0.9"); - -// llm.SetLoraWeight(lora2Rel, 0.7f); -// Assert.AreEqual(llm.lora, lora1 + "," + lora2); -// Assert.AreEqual(llm.loraWeights, "0.8,0.7"); - -// llm.RemoveLora(lora2Rel); -// Assert.AreEqual(llm.lora, lora1); -// Assert.AreEqual(llm.loraWeights, "0.8"); - -// llm.AddLora(lora2Rel); -// llm.SetLoraWeight(lora2Rel, 0.5f); -// Assert.AreEqual(llm.lora, lora1 + "," + lora2); -// Assert.AreEqual(llm.loraWeights, "0.8,0.5"); - -// llm.SetLoraWeight(lora2, 0.1f); -// Assert.AreEqual(llm.lora, lora1 + "," + lora2); -// Assert.AreEqual(llm.loraWeights, "0.8,0.1"); - -// Dictionary loraToWeight = new Dictionary(); -// loraToWeight[lora1] = 0; -// loraToWeight[lora2] = 0.2f; -// llm.SetLoraWeights(loraToWeight); -// Assert.AreEqual(llm.lora, lora1 + "," + lora2); -// Assert.AreEqual(llm.loraWeights, "0,0.2"); - -// File.Delete(lora1); -// File.Delete(lora2); -// } -// } - -// public class TestLLM -// { -// protected string modelNameLLManager; - -// protected GameObject gameObject; -// protected LLM llm; -// protected LLMAgent llmAgent; -// protected Exception error = null; -// protected string prompt; -// protected string query; -// protected string reply1; -// protected string reply2; -// protected int tokens1; -// protected int tokens2; -// protected int port; - -// static readonly object _lock = new object(); - -// public TestLLM() -// { -// Task task = Init(); -// task.Wait(); -// } - -// public virtual async Task Init() -// { -// Monitor.Enter(_lock); -// port = new System.Random().Next(10000, 20000); -// SetParameters(); -// await DownloadModels(); -// gameObject = new GameObject(); -// gameObject.SetActive(false); -// llm = CreateLLM(); -// llmAgent = CreateLLMCharacter(); -// gameObject.SetActive(true); -// } - -// public virtual void SetParameters() -// { -// prompt = "You are a scientific assistant and provide short and concise info on the user questions"; -// query = "Can you tell me some fun fact about ants in one sentence?"; -// reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; -// reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, which is a fascinating example of teamwork."; -// tokens1 = 20; -// tokens2 = 9; -// } - -// protected virtual string GetModelUrl() -// { -// return "https://huggingface.co/unsloth/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q4_K_M.gguf"; -// } - -// public virtual async Task DownloadModels() -// { -// modelNameLLManager = await LLMManager.DownloadModel(GetModelUrl()); -// } - -// [Test] -// public void TestGetLLMManagerAssetRuntime() -// { -// string path = ""; -// string managerPath = LLM.GetLLMManagerAssetRuntime(path); -// Assert.AreEqual(managerPath, path); - -// string filename = "lala"; -// path = LLMUnitySetup.GetFullPath(filename); -// LLMUnitySetup.CreateEmptyFile(path); -// managerPath = LLM.GetLLMManagerAssetRuntime(path); -// Assert.AreEqual(managerPath, path); -// File.Delete(path); - -// path = modelNameLLManager; -// managerPath = LLM.GetLLMManagerAssetRuntime(path); -// Assert.AreEqual(managerPath, LLMManager.GetAssetPath(path)); - -// path = LLMUnitySetup.GetAssetPath("lala"); -// LLMUnitySetup.CreateEmptyFile(path); -// managerPath = LLM.GetLLMManagerAssetRuntime(path); -// Assert.AreEqual(managerPath, path); -// File.Delete(path); -// } - -// [Test] -// public void TestGetLLMManagerAssetEditor() -// { -// string path = ""; -// string managerPath = LLM.GetLLMManagerAssetEditor(path); -// Assert.AreEqual(managerPath, path); - -// path = modelNameLLManager; -// managerPath = LLM.GetLLMManagerAssetEditor(path); -// Assert.AreEqual(managerPath, modelNameLLManager); - -// path = LLMManager.Get(modelNameLLManager).path; -// managerPath = LLM.GetLLMManagerAssetEditor(path); -// Assert.AreEqual(managerPath, modelNameLLManager); - -// string filename = "lala"; -// path = LLMUnitySetup.GetAssetPath(filename); -// LLMUnitySetup.CreateEmptyFile(path); -// managerPath = LLM.GetLLMManagerAssetEditor(filename); -// Assert.AreEqual(managerPath, filename); -// managerPath = LLM.GetLLMManagerAssetEditor(path); -// Assert.AreEqual(managerPath, filename); - -// path = LLMUnitySetup.GetFullPath(filename); -// LLMUnitySetup.CreateEmptyFile(path); -// managerPath = LLM.GetLLMManagerAssetEditor(path); -// Assert.AreEqual(managerPath, path); -// File.Delete(path); -// } - -// public virtual LLM CreateLLM() -// { -// LLM llm = gameObject.AddComponent(); -// llm.SetModel(modelNameLLManager); -// llm.parallelPrompts = 1; -// llm.port = port; -// return llm; -// } - -// public virtual LLMAgent CreateLLMCharacter() -// { -// LLMAgent llmAgent = gameObject.AddComponent(); -// llmAgent.llm = llm; -// llmAgent.userRole = "User"; -// llmAgent.assistantRole = "Assistant"; -// llmAgent.prompt = prompt; -// llmAgent.temperature = 0; -// llmAgent.seed = 0; -// llmAgent.stream = false; -// llmAgent.numPredict = 50; -// llmAgent.port = port; -// return llmAgent; -// } - -// [UnityTest] -// public IEnumerator RunTests() -// { -// Task task = RunTestsTask(); -// while (!task.IsCompleted) yield return null; -// if (error != null) -// { -// Debug.LogError(error.ToString()); -// throw (error); -// } -// OnDestroy(); -// } - -// public async Task RunTestsTask() -// { -// error = null; -// try -// { -// await Tests(); -// llm.OnDestroy(); -// } -// catch (Exception e) -// { -// error = e; -// } -// } - -// public virtual async Task Tests() -// { -// await llmAgent.Tokenize("I", TestTokens); -// await llmAgent.Warmup(); -// TestArchitecture(); -// TestInitParameters(tokens1, 1); -// TestWarmup(); -// await llmAgent.Chat(query, (string reply) => TestChat(reply, reply1)); -// TestPostChat(3); -// llmAgent.SetPrompt(llmAgent.prompt); -// llmAgent.assistantRole = "False response"; -// await llmAgent.Chat(query, (string reply) => TestChat(reply, reply2)); -// TestPostChat(3); -// await llmAgent.Chat("bye!"); -// TestPostChat(5); -// prompt = "How are you?"; -// llmAgent.SetPrompt(prompt); -// await llmAgent.Chat("hi"); -// TestInitParameters(tokens2, 3); -// List embeddings = await llmAgent.Embeddings("hi how are you?"); -// TestEmbeddings(embeddings); -// } - -// public virtual void TestArchitecture() -// { -// Assert.That(llm.architecture.Contains("avx")); -// } - -// public void TestInitParameters(int nkeep, int chats) -// { -// Assert.AreEqual(llmAgent.nKeep, nkeep); -// Assert.That(ChatTemplate.GetTemplate(llm.chatTemplate).GetStop(llmAgent.userRole, llmAgent.assistantRole).Length > 0); -// Assert.AreEqual(llmAgent.chat.Count, chats); -// } - -// public void TestTokens(List tokens) -// { -// Assert.AreEqual(tokens, new List { 40 }); -// } - -// public void TestWarmup() -// { -// Assert.That(llmAgent.chat.Count == 1); -// } - -// public void TestChat(string reply, string replyGT) -// { -// Debug.Log(reply.Trim()); -// var words1 = reply.Trim().Split(new[] { ' ', ',', '.', '!', '?' }, StringSplitOptions.RemoveEmptyEntries); -// var words2 = replyGT.Trim().Split(new[] { ' ', ',', '.', '!', '?' }, StringSplitOptions.RemoveEmptyEntries); -// var commonWords = words1.Intersect(words2).Count(); -// var totalWords = Math.Max(words1.Length, words2.Length); - -// Assert.That((double)commonWords / totalWords >= 0.7); -// } - -// public void TestPostChat(int num) -// { -// Assert.That(llmAgent.chat.Count == num); -// } - -// public void TestEmbeddings(List embeddings) -// { -// Assert.That(embeddings.Count == 1024); -// } - -// public virtual void OnDestroy() -// { -// if (Monitor.IsEntered(_lock)) -// { -// Monitor.Exit(_lock); -// } -// } -// } - -// public class TestLLM_LLMManager_Load : TestLLM -// { -// public override LLM CreateLLM() -// { -// LLM llm = gameObject.AddComponent(); -// string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; -// string sourcePath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); -// filename = LLMManager.LoadModel(sourcePath); -// llm.SetModel(filename); -// llm.parallelPrompts = 1; -// return llm; -// } -// } - -// public class TestLLM_StreamingAssets_Load : TestLLM -// { -// string loadPath; - -// public override LLM CreateLLM() -// { -// LLM llm = gameObject.AddComponent(); -// string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; -// string sourcePath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); -// loadPath = LLMUnitySetup.GetAssetPath(filename); -// if (!File.Exists(loadPath)) File.Copy(sourcePath, loadPath); -// llm.SetModel(loadPath); -// llm.parallelPrompts = 1; -// return llm; -// } - -// public override void OnDestroy() -// { -// base.OnDestroy(); -// if (!File.Exists(loadPath)) File.Delete(loadPath); -// } -// } - -// public class TestLLM_SetModel_Warning : TestLLM -// { -// public override LLM CreateLLM() -// { -// LLM llm = gameObject.AddComponent(); -// string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; -// string loadPath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); -// llm.SetModel(loadPath); -// llm.parallelPrompts = 1; -// return llm; -// } -// } - -// public class TestLLM_Lora : TestLLM -// { -// protected string loraUrl = "https://huggingface.co/phh/Qwen3-0.6B-TLDR-Lora/resolve/main/Qwen3-0.6B-tldr-lora-f16.gguf"; -// protected string loraNameLLManager; -// protected float loraWeight; - -// public override async Task DownloadModels() -// { -// await base.DownloadModels(); -// loraNameLLManager = await LLMManager.DownloadLora(loraUrl); -// } - -// public override LLM CreateLLM() -// { -// LLM llm = base.CreateLLM(); -// llm.AddLora(loraNameLLManager, loraWeight); -// return llm; -// } - -// public override void SetParameters() -// { -// prompt = ""; -// if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer) -// { -// reply1 = "I am sorry, but I cannot assist with this request. Please try again or ask a different question."; -// } -// else -// { -// reply1 = "I am sorry, but I cannot respond to your message as it is empty.Could you please provide a meaningful query or content ?"; -// } -// reply2 = "False response."; -// tokens1 = 5; -// tokens2 = 9; -// loraWeight = 0.9f; -// } - -// public override async Task Tests() -// { -// await base.Tests(); -// TestModelPaths(); -// TestLoraWeight(); -// loraWeight = 0.6f; -// llm.SetLoraWeight(loraNameLLManager, loraWeight); -// TestLoraWeight(); -// } - -// public void TestModelPaths() -// { -// Assert.AreEqual(llm.model, Path.Combine(LLMUnitySetup.modelDownloadPath, Path.GetFileName(GetModelUrl()).Split("?")[0]).Replace('\\', '/')); -// Assert.AreEqual(llm.lora, Path.Combine(LLMUnitySetup.modelDownloadPath, Path.GetFileName(loraUrl).Split("?")[0]).Replace('\\', '/')); -// } - -// public void TestLoraWeight() -// { -// List loras = llm.ListLoras(); -// Assert.AreEqual(loras[0].Scale, loraWeight); -// } -// } - -// public class TestLLM_Remote : TestLLM -// { -// public override LLM CreateLLM() -// { -// LLM llm = base.CreateLLM(); -// llm.remote = true; -// return llm; -// } - -// public override LLMAgent CreateLLMCharacter() -// { -// LLMAgent llmAgent = base.CreateLLMCharacter(); -// llmAgent.remote = true; -// return llmAgent; -// } -// } - -// public class TestLLM_Lora_Remote : TestLLM_Lora -// { -// public override LLM CreateLLM() -// { -// LLM llm = base.CreateLLM(); -// llm.remote = true; -// return llm; -// } - -// public override LLMAgent CreateLLMCharacter() -// { -// LLMAgent llmAgent = base.CreateLLMCharacter(); -// llmAgent.remote = true; -// return llmAgent; -// } -// } - -// public class TestLLM_Double : TestLLM -// { -// LLM llm1; -// LLMAgent llmCharacter1; - -// public override async Task Init() -// { -// SetParameters(); -// await DownloadModels(); -// gameObject = new GameObject(); -// gameObject.SetActive(false); -// llm = CreateLLM(); -// llmAgent = CreateLLMCharacter(); -// llm1 = CreateLLM(); -// llmCharacter1 = CreateLLMCharacter(); -// gameObject.SetActive(true); -// } -// } - -// public class TestLLMCharacter_Save : TestLLM -// { -// string saveName = "TestLLMCharacter_Save"; - -// public override LLMAgent CreateLLMCharacter() -// { -// LLMAgent llmAgent = base.CreateLLMCharacter(); -// llmAgent.save = saveName; -// llmAgent.saveCache = true; -// foreach (string filename in new string[] -// { -// llmAgent.GetJsonSavePath(saveName), -// llmAgent.GetCacheSavePath(saveName) -// }) if (File.Exists(filename)) File.Delete(filename); -// return llmAgent; -// } - -// public override async Task Tests() -// { -// await base.Tests(); -// TestSave(); -// } - -// public void TestSave() -// { -// string jsonPath = llmAgent.GetJsonSavePath(saveName); -// string cachePath = llmAgent.GetCacheSavePath(saveName); -// Assert.That(File.Exists(jsonPath)); -// Assert.That(File.Exists(cachePath)); -// string json = File.ReadAllText(jsonPath); -// File.Delete(jsonPath); -// File.Delete(cachePath); - -// List chatHistory = JsonUtility.FromJson(json).chat; -// Assert.AreEqual(chatHistory.Count, 2); -// Assert.AreEqual(chatHistory[0].role, llmAgent.userRole); -// Assert.AreEqual(chatHistory[0].content, "hi"); -// Assert.AreEqual(chatHistory[1].role, llmAgent.assistantRole); - -// Assert.AreEqual(llmAgent.chat.Count, chatHistory.Count + 1); -// for (int i = 0; i < chatHistory.Count; i++) -// { -// Assert.AreEqual(chatHistory[i].role, llmAgent.chat[i + 1].role); -// Assert.AreEqual(chatHistory[i].content, llmAgent.chat[i + 1].content); -// } -// } -// } - -// public class TestLLM_CUDA : TestLLM -// { -// public override LLM CreateLLM() -// { -// LLM llm = base.CreateLLM(); -// llm.numGPULayers = 10; -// return llm; -// } - -// public override void SetParameters() -// { -// base.SetParameters(); -// reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have a brain."; -// if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) -// { -// reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, which is a fascinating example of teamwork."; -// } -// } - -// public override void TestArchitecture() -// { -// Assert.That(llm.architecture.Contains("cuda")); -// } -// } - -// public class TestLLM_CUDA_full : TestLLM_CUDA -// { -// public override void TestArchitecture() -// { -// Assert.That(llm.architecture.Contains("cuda") && llm.architecture.Contains("full")); -// } -// } - -// public class TestLLM_CUDA_full_attention : TestLLM_CUDA_full -// { -// public override LLM CreateLLM() -// { -// LLM llm = base.CreateLLM(); -// llm.flashAttention = true; -// return llm; -// } - -// public override void SetParameters() -// { -// base.SetParameters(); -// if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) -// { -// reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; -// } -// } -// } -// } +using NUnit.Framework; +using LLMUnity; +using UnityEngine; +using System.Threading.Tasks; +using System.Collections.Generic; +using System; +using System.Collections; +using System.IO; +using System.Linq; +using System.Threading; +using UnityEngine.TestTools; +using UnityEditor; +using UnityEditor.TestTools.TestRunner.Api; +using ChatMessage = UndreamAI.LlamaLib.ChatMessage; + +namespace LLMUnityTests +{ + [Serializable] + public class ChatListWrapper + { + public List chat; + } + + [InitializeOnLoad] + public static class TestRunListener + { + static TestRunListener() + { + var api = ScriptableObject.CreateInstance(); + api.RegisterCallbacks(new TestRunCallbacks()); + } + } + + public class TestRunCallbacks : ICallbacks + { + public void RunStarted(ITestAdaptor testsToRun) {} + + public void RunFinished(ITestResultAdaptor result) + { + LLMUnitySetup.CUBLAS = false; + } + + public void TestStarted(ITestAdaptor test) + { + LLMUnitySetup.CUBLAS = test.FullName.Contains("cublas"); + } + + public void TestFinished(ITestResultAdaptor result) + { + LLMUnitySetup.CUBLAS = false; + } + } + + public class TestLLMLoraAssignment + { + [Test] + public void TestLoras() + { + GameObject gameObject = new GameObject(); + gameObject.SetActive(false); + LLM llm = gameObject.AddComponent(); + + string lora1 = LLMUnitySetup.GetFullPath("lala"); + string lora2Rel = "test/lala"; + string lora2 = LLMUnitySetup.GetAssetPath(lora2Rel); + LLMUnitySetup.CreateEmptyFile(lora1); + Directory.CreateDirectory(Path.GetDirectoryName(lora2)); + LLMUnitySetup.CreateEmptyFile(lora2); + + llm.AddLora(lora1); + llm.AddLora(lora2); + Assert.AreEqual(llm.lora, lora1 + "," + lora2); + Assert.AreEqual(llm.loraWeights, "1,1"); + + llm.RemoveLoras(); + Assert.AreEqual(llm.lora, ""); + Assert.AreEqual(llm.loraWeights, ""); + + llm.AddLora(lora1, 0.8f); + llm.AddLora(lora2Rel, 0.9f); + Assert.AreEqual(llm.lora, lora1 + "," + lora2); + Assert.AreEqual(llm.loraWeights, "0.8,0.9"); + + llm.SetLoraWeight(lora2Rel, 0.7f); + Assert.AreEqual(llm.lora, lora1 + "," + lora2); + Assert.AreEqual(llm.loraWeights, "0.8,0.7"); + + llm.RemoveLora(lora2Rel); + Assert.AreEqual(llm.lora, lora1); + Assert.AreEqual(llm.loraWeights, "0.8"); + + llm.AddLora(lora2Rel); + llm.SetLoraWeight(lora2Rel, 0.5f); + Assert.AreEqual(llm.lora, lora1 + "," + lora2); + Assert.AreEqual(llm.loraWeights, "0.8,0.5"); + + llm.SetLoraWeight(lora2, 0.1f); + Assert.AreEqual(llm.lora, lora1 + "," + lora2); + Assert.AreEqual(llm.loraWeights, "0.8,0.1"); + + Dictionary loraToWeight = new Dictionary(); + loraToWeight[lora1] = 0; + loraToWeight[lora2] = 0.2f; + llm.SetLoraWeights(loraToWeight); + Assert.AreEqual(llm.lora, lora1 + "," + lora2); + Assert.AreEqual(llm.loraWeights, "0,0.2"); + + File.Delete(lora1); + File.Delete(lora2); + } + } + + public class TestLLM + { + protected string modelNameLLManager; + + protected GameObject gameObject; + protected LLM llm; + protected LLMCharacter llmCharacter; + protected Exception error = null; + protected string prompt; + protected string prompt2; + protected string query; + protected string reply1; + protected string reply2; + protected int tokens1; + protected int tokens2; + protected int port; + + static readonly object _lock = new object(); + + public TestLLM() + { + Task task = Init(); + task.Wait(); + } + + public virtual async Task Init() + { + Monitor.Enter(_lock); + port = new System.Random().Next(10000, 20000); + SetParameters(); + await DownloadModels(); + gameObject = new GameObject(); + gameObject.SetActive(false); + llm = CreateLLM(); + llmCharacter = CreateLLMCharacter(); + gameObject.SetActive(true); + } + + public virtual void SetParameters() + { + prompt = "You are a scientific assistant and provide short and concise info on the user questions"; + prompt2 = "You are a funny assistant and answer the user questions with smartass comments"; + query = "Can you tell me some fun fact about ants in one sentence?"; + reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; + reply2 = "Sure! \"Ants are so sneaky, they can even build nests that look like giant spiders!\""; + tokens1 = 20; + tokens2 = 9; + } + + protected virtual string GetModelUrl() + { + return "https://huggingface.co/unsloth/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q4_K_M.gguf"; + } + + public virtual async Task DownloadModels() + { + modelNameLLManager = await LLMManager.DownloadModel(GetModelUrl()); + } + + [Test] + public void TestGetLLMManagerAssetRuntime() + { + string path = ""; + string managerPath = LLM.GetLLMManagerAssetRuntime(path); + Assert.AreEqual(managerPath, path); + + string filename = "lala"; + path = LLMUnitySetup.GetFullPath(filename); + LLMUnitySetup.CreateEmptyFile(path); + managerPath = LLM.GetLLMManagerAssetRuntime(path); + Assert.AreEqual(managerPath, path); + File.Delete(path); + + path = modelNameLLManager; + managerPath = LLM.GetLLMManagerAssetRuntime(path); + Assert.AreEqual(managerPath, LLMManager.GetAssetPath(path)); + + path = LLMUnitySetup.GetAssetPath("lala"); + LLMUnitySetup.CreateEmptyFile(path); + managerPath = LLM.GetLLMManagerAssetRuntime(path); + Assert.AreEqual(managerPath, path); + File.Delete(path); + } + + [Test] + public void TestGetLLMManagerAssetEditor() + { + string path = ""; + string managerPath = LLM.GetLLMManagerAssetEditor(path); + Assert.AreEqual(managerPath, path); + + path = modelNameLLManager; + managerPath = LLM.GetLLMManagerAssetEditor(path); + Assert.AreEqual(managerPath, modelNameLLManager); + + path = LLMManager.Get(modelNameLLManager).path; + managerPath = LLM.GetLLMManagerAssetEditor(path); + Assert.AreEqual(managerPath, modelNameLLManager); + + string filename = "lala"; + path = LLMUnitySetup.GetAssetPath(filename); + LLMUnitySetup.CreateEmptyFile(path); + managerPath = LLM.GetLLMManagerAssetEditor(filename); + Assert.AreEqual(managerPath, filename); + managerPath = LLM.GetLLMManagerAssetEditor(path); + Assert.AreEqual(managerPath, filename); + + path = LLMUnitySetup.GetFullPath(filename); + LLMUnitySetup.CreateEmptyFile(path); + managerPath = LLM.GetLLMManagerAssetEditor(path); + Assert.AreEqual(managerPath, path); + File.Delete(path); + } + + public virtual LLM CreateLLM() + { + LLM llm = gameObject.AddComponent(); + llm.SetModel(modelNameLLManager); + llm.parallelPrompts = 1; + llm.port = port; + return llm; + } + + public virtual LLMCharacter CreateLLMCharacter() + { + LLMCharacter llmCharacter = gameObject.AddComponent(); + llmCharacter.llm = llm; + llmCharacter.playerName = "User"; + llmCharacter.AIName = "Assistant"; + llmCharacter.prompt = prompt; + llmCharacter.temperature = 0; + llmCharacter.seed = 0; + llmCharacter.numPredict = 50; + llmCharacter.port = port; + return llmCharacter; + } + + [UnityTest] + public IEnumerator RunTests() + { + Task task = RunTestsTask(); + while (!task.IsCompleted) yield return null; + if (error != null) + { + Debug.LogError(error.ToString()); + throw (error); + } + OnDestroy(); + } + + public async Task RunTestsTask() + { + error = null; + try + { + await Tests(); + llm.OnDestroy(); + } + catch (Exception e) + { + error = e; + } + } + + public virtual async Task Tests() + { + TestArchitecture(); + await llmCharacter.Tokenize("I", TestTokens); + await llmCharacter.Warmup(); + Assert.AreEqual(llmCharacter.chat.Count, 1); + TestWarmup(); + + string reply = await llmCharacter.Chat(query); + TestChat(reply, reply1); + TestPostChat(3); + + llmCharacter.SetPrompt(prompt2); + reply = await llmCharacter.Chat(query, TestStreamingChat); + TestChat(reply, reply2); + TestPostChat(3); + + await llmCharacter.Chat("bye!"); + TestPostChat(5); + + List embeddings = await llmCharacter.Embeddings("hi how are you?"); + TestEmbeddings(embeddings); + } + + public virtual void TestArchitecture() + { + Assert.That(llm.architecture.Contains("avx")); + } + + public void TestTokens(List tokens) + { + Assert.AreEqual(tokens, new List { 40 }); + } + + public void TestWarmup() + { + Assert.That(llmCharacter.chat.Count == 1); + } + + public void TestStreamingChat(string reply) + { + Assert.That(reply != ""); + } + + public void TestChat(string reply, string replyGT) + { + Debug.Log(reply.Trim()); + var words1 = reply.Trim().Split(new[] { ' ', ',', '.', '!', '?' }, StringSplitOptions.RemoveEmptyEntries); + var words2 = replyGT.Trim().Split(new[] { ' ', ',', '.', '!', '?' }, StringSplitOptions.RemoveEmptyEntries); + var commonWords = words1.Intersect(words2).Count(); + var totalWords = Math.Max(words1.Length, words2.Length); + + Assert.That((double)commonWords / totalWords >= 0.7); + } + + public void TestPostChat(int num) + { + Assert.That(llmCharacter.chat.Count == num); + } + + public void TestEmbeddings(List embeddings) + { + Assert.That(embeddings.Count == 1024); + } + + public virtual void OnDestroy() + { + if (Monitor.IsEntered(_lock)) + { + Monitor.Exit(_lock); + } + } + } + + public class TestLLM_LLMManager_Load : TestLLM + { + public override LLM CreateLLM() + { + LLM llm = gameObject.AddComponent(); + string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; + string sourcePath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); + filename = LLMManager.LoadModel(sourcePath); + llm.SetModel(filename); + llm.parallelPrompts = 1; + return llm; + } + } + + public class TestLLM_StreamingAssets_Load : TestLLM + { + string loadPath; + + public override LLM CreateLLM() + { + LLM llm = gameObject.AddComponent(); + string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; + string sourcePath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); + loadPath = LLMUnitySetup.GetAssetPath(filename); + if (!File.Exists(loadPath)) File.Copy(sourcePath, loadPath); + llm.SetModel(loadPath); + llm.parallelPrompts = 1; + return llm; + } + + public override void OnDestroy() + { + base.OnDestroy(); + if (!File.Exists(loadPath)) File.Delete(loadPath); + } + } + + public class TestLLM_SetModel_Warning : TestLLM + { + public override LLM CreateLLM() + { + LLM llm = gameObject.AddComponent(); + string filename = Path.GetFileName(GetModelUrl()).Split("?")[0]; + string loadPath = Path.Combine(LLMUnitySetup.modelDownloadPath, filename); + llm.SetModel(loadPath); + llm.parallelPrompts = 1; + return llm; + } + } + + public class TestLLM_Lora : TestLLM + { + protected string loraUrl = "https://huggingface.co/phh/Qwen3-0.6B-TLDR-Lora/resolve/main/Qwen3-0.6B-tldr-lora-f16.gguf"; + protected string loraNameLLManager; + protected float loraWeight; + + public override async Task DownloadModels() + { + await base.DownloadModels(); + loraNameLLManager = await LLMManager.DownloadLora(loraUrl); + } + + public override LLM CreateLLM() + { + LLM llm = base.CreateLLM(); + llm.AddLora(loraNameLLManager, loraWeight); + return llm; + } + + public override void SetParameters() + { + base.SetParameters(); + // prompt = ""; + if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer) + { + reply1 = "I am sorry, but I cannot assist with this request. Please try again or ask a different question."; + } + else + { + reply1 = "I am sorry, but I cannot respond to your message as it is empty.Could you please provide a meaningful query or content ?"; + } + reply2 = "False response."; + tokens1 = 5; + tokens2 = 9; + loraWeight = 0.9f; + } + + public override async Task Tests() + { + await base.Tests(); + TestModelPaths(); + TestLoraWeight(); + loraWeight = 0.6f; + llm.SetLoraWeight(loraNameLLManager, loraWeight); + TestLoraWeight(); + } + + public void TestModelPaths() + { + Assert.AreEqual(llm.model, Path.Combine(LLMUnitySetup.modelDownloadPath, Path.GetFileName(GetModelUrl()).Split("?")[0]).Replace('\\', '/')); + Assert.AreEqual(llm.lora, Path.Combine(LLMUnitySetup.modelDownloadPath, Path.GetFileName(loraUrl).Split("?")[0]).Replace('\\', '/')); + } + + public void TestLoraWeight() + { + var loras = llm.ListLoras(); + Assert.AreEqual(loras[0].Scale, loraWeight); + } + } + + public class TestLLM_Remote : TestLLM + { + public override LLM CreateLLM() + { + LLM llm = base.CreateLLM(); + llm.remote = true; + return llm; + } + + public override LLMCharacter CreateLLMCharacter() + { + LLMCharacter llmCharacter = base.CreateLLMCharacter(); + llmCharacter.remote = true; + return llmCharacter; + } + } + + public class TestLLM_Lora_Remote : TestLLM_Lora + { + public override LLM CreateLLM() + { + LLM llm = base.CreateLLM(); + llm.remote = true; + return llm; + } + + public override LLMCharacter CreateLLMCharacter() + { + LLMCharacter llmCharacter = base.CreateLLMCharacter(); + llmCharacter.remote = true; + return llmCharacter; + } + } + + public class TestLLM_Double : TestLLM + { + LLM llm1; + LLMCharacter llmCharacter1; + + public override async Task Init() + { + SetParameters(); + await DownloadModels(); + gameObject = new GameObject(); + gameObject.SetActive(false); + llm = CreateLLM(); + llmCharacter = CreateLLMCharacter(); + llm1 = CreateLLM(); + llmCharacter1 = CreateLLMCharacter(); + gameObject.SetActive(true); + } + } + + public class TestLLMCharacter_Save : TestLLM + { + string saveName = "TestLLMCharacter_Save"; + + public override LLMCharacter CreateLLMCharacter() + { + LLMCharacter llmCharacter = base.CreateLLMCharacter(); + llmCharacter.save = saveName; + llmCharacter.saveCache = true; + foreach (string filename in new string[] + { + llmCharacter.GetJsonSavePath(saveName), + llmCharacter.GetCacheSavePath(saveName) + }) if (File.Exists(filename)) File.Delete(filename); + return llmCharacter; + } + + public override async Task Tests() + { + await base.Tests(); + TestSave(); + } + + public void TestSave() + { + string jsonPath = llmCharacter.GetJsonSavePath(saveName); + string cachePath = llmCharacter.GetCacheSavePath(saveName); + Assert.That(File.Exists(jsonPath)); + Assert.That(File.Exists(cachePath)); + string json = File.ReadAllText(jsonPath); + File.Delete(jsonPath); + File.Delete(cachePath); + + List chatHistory = JsonUtility.FromJson(json).chat; + Assert.AreEqual(chatHistory.Count, 2); + Assert.AreEqual(chatHistory[0].role, llmCharacter.playerName); + Assert.AreEqual(chatHistory[0].content, "hi"); + Assert.AreEqual(chatHistory[1].role, llmCharacter.AIName); + + Assert.AreEqual(llmCharacter.chat.Count, chatHistory.Count + 1); + for (int i = 0; i < chatHistory.Count; i++) + { + Assert.AreEqual(chatHistory[i].role, llmCharacter.chat[i + 1].role); + Assert.AreEqual(chatHistory[i].content, llmCharacter.chat[i + 1].content); + } + } + } + + public class TestLLM_CUDA : TestLLM + { + public override LLM CreateLLM() + { + LLM llm = base.CreateLLM(); + llm.numGPULayers = 10; + return llm; + } + + public override void SetParameters() + { + base.SetParameters(); + reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have a brain."; + if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) + { + reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, which is a fascinating example of teamwork."; + } + } + + public override void TestArchitecture() + { + Assert.That(llm.architecture.Contains("cuda")); + } + } + + public class TestLLM_CUDA_full : TestLLM_CUDA + { + public override void TestArchitecture() + { + Assert.That(llm.architecture.Contains("cuda") && llm.architecture.Contains("full")); + } + } + + public class TestLLM_CUDA_full_attention : TestLLM_CUDA_full + { + public override LLM CreateLLM() + { + LLM llm = base.CreateLLM(); + llm.flashAttention = true; + return llm; + } + + public override void SetParameters() + { + base.SetParameters(); + if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) + { + reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; + } + } + } +} diff --git a/Tests/Runtime/TestSearch.cs b/Tests/Runtime/TestSearch.cs index beb4acd7..5a0872b3 100644 --- a/Tests/Runtime/TestSearch.cs +++ b/Tests/Runtime/TestSearch.cs @@ -67,30 +67,40 @@ public static bool ApproxEqual(float x1, float x2) } [UnityTest] - public virtual void RunTests() + public virtual IEnumerator RunTests() + { + Task task = RunTestsTask(); + while (!task.IsCompleted) yield return null; + if (error != null) + { + Debug.LogError(error.ToString()); + throw (error); + } + } + + public virtual async Task RunTestsTask() { error = null; try { - Tests(); + await Tests(); llm.OnDestroy(); } - catch (Exception e) + catch (Exception e) { - Debug.LogError(e.ToString()); - throw (e); + error = e; } } - public virtual void Tests() + public virtual async Task Tests() { - TestAdd(); - TestSearch(); - TestIncrementalSearch(); - TestSaveLoad(); + await TestAdd(); + await TestSearch(); + await TestIncrementalSearch(); + await TestSaveLoad(); } - public virtual void TestAdd() + public virtual async Task TestAdd() { void CheckCount(int[] nums) { @@ -104,32 +114,32 @@ void CheckCount(int[] nums) } int key, num; - key = search.Add(weather); + key = await search.Add(weather); Assert.That(key == 0); Assert.That(search.Get(key) == weather); Assert.That(search.Count() == 1); search.Remove(key); Assert.That(search.Count() == 0); - key = search.Add(weather); + key = await search.Add(weather); Assert.That(key == 1); - key = search.Add(raining); + key = await search.Add(raining); Assert.That(key == 2); - key = search.Add(sometext); + key = await search.Add(sometext); Assert.That(key == 3); Assert.That(search.Count() == 3); search.Clear(); Assert.That(search.Count() == 0); - key = search.Add(weather, "0"); + key = await search.Add(weather, "0"); Assert.That(key == 0); - key = search.Add(raining, "0"); + key = await search.Add(raining, "0"); Assert.That(key == 1); - key = search.Add(weather, "1"); + key = await search.Add(weather, "1"); Assert.That(key == 2); - key = search.Add(sometext, "1"); + key = await search.Add(sometext, "1"); Assert.That(key == 3); - key = search.Add(sometext, "2"); + key = await search.Add(sometext, "2"); Assert.That(key == 4); CheckCount(new int[] {2, 2, 1}); num = search.Remove(weather, "0"); @@ -155,20 +165,20 @@ void CheckCount(int[] nums) Assert.That(search.Count() == 0); } - public virtual void TestSearch() + public virtual async Task TestSearch() { string[] results; float[] distances; - (results, distances) = search.Search(weather, 1); + (results, distances) = await search.Search(weather, 1); Assert.That(results.Length == 0); Assert.That(distances.Length == 0); - search.Add(weather); - search.Add(raining); - search.Add(sometext); + await search.Add(weather); + await search.Add(raining); + await search.Add(sometext); - (results, distances) = search.Search(weather, 2); + (results, distances) = await search.Search(weather, 2); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], weather); @@ -176,7 +186,7 @@ public virtual void TestSearch() Assert.That(ApproxEqual(distances[0], 0)); Assert.That(ApproxEqual(distances[1], weatherRainingDiff)); - (results, distances) = search.Search(raining, 2); + (results, distances) = await search.Search(raining, 2); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], raining); @@ -186,12 +196,12 @@ public virtual void TestSearch() search.Clear(); - search.Add(weather, "0"); - search.Add(raining, "1"); - search.Add(sometext, "0"); - search.Add(sometext, "1"); + await search.Add(weather, "0"); + await search.Add(raining, "1"); + await search.Add(sometext, "0"); + await search.Add(sometext, "1"); - (results, distances) = search.Search(weather, 2, "0"); + (results, distances) = await search.Search(weather, 2, "0"); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], weather); @@ -199,7 +209,7 @@ public virtual void TestSearch() Assert.That(ApproxEqual(distances[0], 0)); Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); - (results, distances) = search.Search(weather, 2, "0"); + (results, distances) = await search.Search(weather, 2, "0"); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], weather); @@ -207,14 +217,14 @@ public virtual void TestSearch() Assert.That(ApproxEqual(distances[0], 0)); Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); - (results, distances) = search.Search(weather, 2, "1"); + (results, distances) = await search.Search(weather, 2, "1"); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], raining); Assert.AreEqual(results[1], sometext); Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); - (results, distances) = search.Search(weather, 3, "1"); + (results, distances) = await search.Search(weather, 3, "1"); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], raining); @@ -223,13 +233,13 @@ public virtual void TestSearch() search.Clear(); } - public void TestIncrementalSearch() + public async Task TestIncrementalSearch() { string[] results; float[] distances; bool completed; - int searchKey = search.IncrementalSearch(weather); + int searchKey = await search.IncrementalSearch(weather); (results, distances, completed) = search.IncrementalFetch(searchKey, 1); Assert.That(searchKey == 0); Assert.That(results.Length == 0); @@ -237,11 +247,11 @@ public void TestIncrementalSearch() Assert.That(completed); search.Clear(); - search.Add(weather); - search.Add(raining); - search.Add(sometext); + await search.Add(weather); + await search.Add(raining); + await search.Add(sometext); - searchKey = search.IncrementalSearch(weather); + searchKey = await search.IncrementalSearch(weather); (results, distances, completed) = search.IncrementalFetch(searchKey, 1); Assert.That(searchKey == 0); Assert.That(results.Length == 1); @@ -259,7 +269,7 @@ public void TestIncrementalSearch() Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); Assert.That(completed); - searchKey = search.IncrementalSearch(weather); + searchKey = await search.IncrementalSearch(weather); (results, distances, completed) = search.IncrementalFetch(searchKey, 2); Assert.That(searchKey == 1); Assert.That(results.Length == 2); @@ -273,12 +283,12 @@ public void TestIncrementalSearch() search.IncrementalSearchComplete(searchKey); search.Clear(); - search.Add(weather, "0"); - search.Add(raining, "1"); - search.Add(sometext, "0"); - search.Add(sometext, "1"); + await search.Add(weather, "0"); + await search.Add(raining, "1"); + await search.Add(sometext, "0"); + await search.Add(sometext, "1"); - searchKey = search.IncrementalSearch(weather, "0"); + searchKey = await search.IncrementalSearch(weather, "0"); (results, distances, completed) = search.IncrementalFetch(searchKey, 2); Assert.That(searchKey == 0); Assert.AreEqual(results.Length, 2); @@ -289,7 +299,7 @@ public void TestIncrementalSearch() Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); Assert.That(completed); - searchKey = search.IncrementalSearch(weather, "0"); + searchKey = await search.IncrementalSearch(weather, "0"); (results, distances, completed) = search.IncrementalFetch(searchKey, 2); Assert.That(searchKey == 1); Assert.AreEqual(results.Length, 2); @@ -300,7 +310,7 @@ public void TestIncrementalSearch() Assert.That(ApproxEqual(distances[1], weatherSometextDiff)); Assert.That(completed); - searchKey = search.IncrementalSearch(weather, "1"); + searchKey = await search.IncrementalSearch(weather, "1"); (results, distances, completed) = search.IncrementalFetch(searchKey, 1); Assert.That(searchKey == 2); Assert.AreEqual(results.Length, 1); @@ -315,7 +325,7 @@ public void TestIncrementalSearch() Assert.That(ApproxEqual(distances[0], weatherSometextDiff)); Assert.That(completed); - searchKey = search.IncrementalSearch(weather, "1"); + searchKey = await search.IncrementalSearch(weather, "1"); (results, distances, completed) = search.IncrementalFetch(searchKey, 3); Assert.That(searchKey == 3); Assert.AreEqual(results.Length, 2); @@ -327,19 +337,19 @@ public void TestIncrementalSearch() search.Clear(); } - public virtual void TestSaveLoad() + public virtual async Task TestSaveLoad() { string path = Path.Combine(Path.GetTempPath(), Path.GetRandomFileName()); string[] results; float[] distances; - search.Add(weather); - search.Add(raining); - search.Add(sometext); + await search.Add(weather); + await search.Add(raining); + await search.Add(sometext); search.Save(path); search.Clear(); - search.Load(path); + await search.Load(path); File.Delete(path); Assert.That(search.Count() == 3); @@ -347,7 +357,7 @@ public virtual void TestSaveLoad() Assert.That(search.Get(1) == raining); Assert.That(search.Get(2) == sometext); - (results, distances) = search.Search(raining, 2); + (results, distances) = await search.Search(raining, 2); Assert.AreEqual(results[0], raining); Assert.AreEqual(results[1], weather); Assert.That(ApproxEqual(distances[0], 0)); @@ -355,14 +365,14 @@ public virtual void TestSaveLoad() search.Clear(); - search.Add(weather, "0"); - search.Add(raining, "1"); - search.Add(sometext, "0"); - search.Add(sometext, "1"); + await search.Add(weather, "0"); + await search.Add(raining, "1"); + await search.Add(sometext, "0"); + await search.Add(sometext, "1"); search.Save(path); search.Clear(); - search.Load(path); + await search.Load(path); File.Delete(path); Assert.That(search.Count() == 4); @@ -373,7 +383,7 @@ public virtual void TestSaveLoad() Assert.That(search.Get(2) == sometext); Assert.That(search.Get(3) == sometext); - (results, distances) = search.Search(raining, 2, "0"); + (results, distances) = await search.Search(raining, 2, "0"); Assert.AreEqual(results[0], weather); Assert.AreEqual(results[1], sometext); Assert.That(ApproxEqual(distances[0], weatherRainingDiff)); @@ -391,34 +401,34 @@ public override T CreateSearch() return search; } - public override void Tests() + public override async Task Tests() { - base.Tests(); - TestEncode(); - TestSimilarity(); - TestSearchFromList(); + await base.Tests(); + await TestEncode(); + await TestSimilarity(); + await TestSearchFromList(); } - public void TestEncode() + public async Task TestEncode() { - float[] encoding = search.Encode(weather); + float[] encoding = await search.Encode(weather); Assert.That(ApproxEqual(encoding[0], -0.02910374f)); Assert.That(ApproxEqual(encoding[383], 0.01764517f)); } - public void TestSimilarity() + public async Task TestSimilarity() { - float[] sentence1 = search.Encode(weather); - float[] sentence2 = search.Encode(raining); + float[] sentence1 = await search.Encode(weather); + float[] sentence2 = await search.Encode(raining); float similarity = SimpleSearch.DotProduct(sentence1, sentence2); float distance = SimpleSearch.InverseDotProduct(sentence1, sentence2); Assert.That(ApproxEqual(similarity, 1 - weatherRainingDiff)); Assert.That(ApproxEqual(distance, weatherRainingDiff)); } - public void TestSearchFromList() + public async Task TestSearchFromList() { - (string[] results, float[] distances) = search.SearchFromList(weather, new string[] {sometext, raining}); + (string[] results, float[] distances) = await search.SearchFromList(weather, new string[] {sometext, raining}); Assert.AreEqual(results.Length, 2); Assert.AreEqual(distances.Length, 2); Assert.AreEqual(results[0], raining); @@ -481,18 +491,18 @@ public static (string, List<(int, int)>) GenerateText(int length) return (new string(generatedText), indices); } - public override void Tests() + public override async Task Tests() { - base.Tests(); - TestProperSplit(); + await base.Tests(); + await TestProperSplit(); } - public void TestProperSplit() + public async Task TestProperSplit() { for (int length = 50; length <= 500; length += 50) { (string randomText, _) = GenerateText(length); - List<(int, int)> indices = search.Split(randomText); + List<(int, int)> indices = await search.Split(randomText); int currIndex = 0; foreach ((int startIndex, int endIndex) in indices) { @@ -500,7 +510,7 @@ public void TestProperSplit() currIndex = endIndex + 1; } Assert.AreEqual(currIndex, length); - int key = search.Add(randomText); + int key = await search.Add(randomText); Assert.AreEqual(search.Get(key), randomText); } } @@ -510,13 +520,13 @@ public class TestTokenSplitter : TestSplitter {} public class TestWordSplitter : TestSplitter { - public override void Tests() + public override async Task Tests() { - base.Tests(); - TestSplit(); + await base.Tests(); + await TestSplit(); } - public void TestSplit() + public async Task TestSplit() { System.Random random = new System.Random(); char[] characters = "abcdefghijklmnopqrstuvwxyz".ToCharArray(); @@ -539,7 +549,7 @@ public void TestSplit() } string text = String.Join(" ", splits); - List<(int, int)> indices = search.Split(text); + List<(int, int)> indices = await search.Split(text); for (int i = 0; i < indices.Count; i++) { (int startIndex, int endIndex) = indices[i]; @@ -553,17 +563,17 @@ public void TestSplit() public class TestSentenceSplitter : TestSplitter { - public override void Tests() + public override async Task Tests() { - base.Tests(); - TestSplit(); + await base.Tests(); + await TestSplit(); } - public void TestSplit() + public async Task TestSplit() { - string[] SplitSentences(string text) + async Task SplitSentences(string text) { - List<(int, int)> indices = search.Split(text); + List<(int, int)> indices = await search.Split(text); List sentences = new List(); foreach ((int startIndex, int endIndex) in indices) sentences.Add(text.Substring(startIndex, endIndex - startIndex + 1)); return sentences.ToArray(); @@ -582,9 +592,9 @@ string[] SplitSentences(string text) sentencesGT = (string[])sentences.Clone(); text = String.Join("", sentencesGT); - sentencesBack = SplitSentences(text); + sentencesBack = await SplitSentences(text); Assert.AreEqual(sentencesBack, sentencesGT); - key = search.Add(text); + key = await search.Add(text); Assert.AreEqual(search.Get(key), text); sentencesGT = (string[])sentences.Clone(); @@ -593,18 +603,18 @@ string[] SplitSentences(string text) sentencesGT[2] += ".... "; sentencesGT[3] += " ?"; text = String.Join("", sentencesGT); - sentencesBack = SplitSentences(text); + sentencesBack = await SplitSentences(text); Assert.AreEqual(sentencesBack, sentencesGT); - key = search.Add(text); + key = await search.Add(text); Assert.AreEqual(search.Get(key), text); for (int length = 10; length <= 100; length += 10) { (string randomText, List<(int, int)> indicesGT) = GenerateText(length); - List<(int, int)> indices = search.Split(randomText); + List<(int, int)> indices = await search.Split(randomText); Assert.AreEqual(indices.Count, indicesGT.Count); Assert.AreEqual(indices, indicesGT); - key = search.Add(randomText); + key = await search.Add(randomText); Assert.AreEqual(search.Get(key), randomText); } @@ -651,24 +661,24 @@ public class TestRAG_DBSearch_TokenSplitter : TestRAG public abstract class TestRAG_Chunking : TestRAG { - public override void TestSearch() + public override async Task TestSearch() { - base.TestSearch(); + await base.TestSearch(); string[] results; float[] distances; - search.Add(weather + raining); - search.Add(sometext); + await search.Add(weather + raining); + await search.Add(sometext); search.ReturnChunks(false); - (results, distances) = search.Search(weather, 1); + (results, distances) = await search.Search(weather, 1); Assert.That(results.Length == 1); Assert.That(distances.Length == 1); Assert.AreEqual(results[0], weather + raining); search.ReturnChunks(true); - (results, distances) = search.Search(weather, 1); + (results, distances) = await search.Search(weather, 1); Assert.That(results.Length == 1); Assert.That(distances.Length == 1); Assert.AreEqual(results[0], weather); From 116e41e9600612ecb9585ac3b941b7f50e56f2e7 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Thu, 13 Nov 2025 15:02:45 +0200 Subject: [PATCH 23/69] update to latest LlamaLib (remote changes) --- Runtime/LlamaLib/LLM.cs | 24 ++++++++++++------------ Runtime/LlamaLib/LLMAgent.cs | 11 ++++++----- Runtime/LlamaLib/LLMClient.cs | 20 +++++++++++++++----- Runtime/LlamaLib/LlamaLib.cs | 35 ++++++++++++++++++++++++++++------- 4 files changed, 61 insertions(+), 29 deletions(-) diff --git a/Runtime/LlamaLib/LLM.cs b/Runtime/LlamaLib/LLM.cs index cfad6d74..fde89b61 100644 --- a/Runtime/LlamaLib/LLM.cs +++ b/Runtime/LlamaLib/LLM.cs @@ -42,7 +42,7 @@ public abstract class LLM : IDisposable protected readonly object _disposeLock = new object(); public bool disposed = false; - protected LLM() {} + protected LLM() { } protected LLM(LlamaLib llamaLibInstance) { @@ -76,7 +76,7 @@ protected void CheckLlamaLib() } } - public virtual void Dispose() {} + public virtual void Dispose() { } ~LLM() { @@ -113,7 +113,7 @@ public List Tokenize(string content) JArray json = JArray.Parse(resultStr); ret = json?.ToObject>(); } - catch {} + catch { } return ret; } @@ -151,7 +151,7 @@ public List Embeddings(string content) JArray json = JArray.Parse(resultStr); ret = json?.ToObject>(); } - catch {} + catch { } return ret; } @@ -171,7 +171,7 @@ public JObject GetCompletionParameters() { parameters = JObject.Parse(parametersString); } - catch {} + catch { } return parameters; } @@ -218,9 +218,9 @@ public async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallb // LLMLocal class public abstract class LLMLocal : LLM { - protected LLMLocal() : base() {} + protected LLMLocal() : base() { } - protected LLMLocal(LlamaLib llamaLibInstance) : base(llamaLibInstance) {} + protected LLMLocal(LlamaLib llamaLibInstance) : base(llamaLibInstance) { } public string SaveSlot(int idSlot, string filepath) { @@ -250,9 +250,9 @@ public void Cancel(int idSlot) // LLMProvider class public abstract class LLMProvider : LLMLocal { - protected LLMProvider() : base() {} + protected LLMProvider() : base() { } - protected LLMProvider(LlamaLib llamaLibInstance) : base(llamaLibInstance) {} + protected LLMProvider(LlamaLib llamaLibInstance) : base(llamaLibInstance) { } public void SetTemplate(string template) @@ -310,7 +310,7 @@ public List ParseLoraListJSON(string result) )); } } - catch {} + catch { } return loras; } @@ -413,7 +413,7 @@ public override void Dispose() { llamaLib.LLM_Delete(llm); } - catch (Exception) {} + catch (Exception) { } } llamaLib?.Dispose(); llamaLib = null; @@ -423,4 +423,4 @@ public override void Dispose() } } } -} +} \ No newline at end of file diff --git a/Runtime/LlamaLib/LLMAgent.cs b/Runtime/LlamaLib/LLMAgent.cs index 4f12eb03..07a8319a 100644 --- a/Runtime/LlamaLib/LLMAgent.cs +++ b/Runtime/LlamaLib/LLMAgent.cs @@ -75,9 +75,9 @@ public LLMAgent(LLMLocal _llm, string _systemPrompt = "", string _userRole = "us llmBase = _llm; llamaLib = llmBase.llamaLib; - llm = llamaLib.LLMAgent_Construct(llmBase.llm, - _systemPrompt ?? string.Empty, - _userRole ?? "user", + llm = llamaLib.LLMAgent_Construct(llmBase.llm, + _systemPrompt ?? string.Empty, + _userRole ?? "user", _assistantRole ?? "assistant"); if (llm == IntPtr.Zero) throw new InvalidOperationException("Failed to create LLMAgent"); } @@ -179,7 +179,7 @@ public List GetHistory() } } } - catch {} + catch { } return messages; } @@ -306,6 +306,7 @@ public void Cancel() llamaLib.LLM_Cancel(llm, SlotId); } + // Override slot-based methods to hide them private new string SaveSlot(int id_slot, string filepath) { @@ -322,4 +323,4 @@ public void Cancel() Cancel(); } } -} +} \ No newline at end of file diff --git a/Runtime/LlamaLib/LLMClient.cs b/Runtime/LlamaLib/LLMClient.cs index 7c46b89a..4829fe79 100644 --- a/Runtime/LlamaLib/LLMClient.cs +++ b/Runtime/LlamaLib/LLMClient.cs @@ -13,7 +13,7 @@ public LLMClient(LLMProvider provider) llm = CreateClient(provider); } - public LLMClient(string url, int port, string apiKey = "") + public LLMClient(string url, int port, string apiKey = "", int numRetries = 5) { if (string.IsNullOrEmpty(url)) throw new ArgumentNullException(nameof(url)); @@ -21,7 +21,7 @@ public LLMClient(string url, int port, string apiKey = "") try { llamaLib = new LlamaLib(false); - llm = CreateRemoteClient(url, port, apiKey); + llm = CreateRemoteClient(url, port, apiKey, numRetries); } catch { @@ -38,12 +38,22 @@ private IntPtr CreateClient(LLMProvider provider) return llm; } - private IntPtr CreateRemoteClient(string url, int port, string apiKey = "") + private IntPtr CreateRemoteClient(string url, int port, string apiKey = "", int numRetries = 5) { - var llm = llamaLib.LLMClient_Construct_Remote(url ?? string.Empty, port, apiKey ?? string.Empty); + var llm = llamaLib.LLMClient_Construct_Remote(url ?? string.Empty, port, apiKey ?? string.Empty, numRetries); if (llm == IntPtr.Zero) throw new InvalidOperationException($"Failed to create remote LLMClient for {url}:{port}"); return llm; } + + public void SetSSL(string SSL_cert) + { + llamaLib.LLMClient_Set_SSL(llm, SSL_cert ?? string.Empty); + } + + public bool IsServerAlive() + { + return llamaLib.LLMClient_Is_Server_Alive(llm); + } } -} +} \ No newline at end of file diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index cd340c4b..37bcf643 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -198,8 +198,17 @@ public IntPtr LLMService_Construct( public static extern IntPtr LLMClient_Construct_Remote_Static( [MarshalAs(UnmanagedType.LPStr)] string url, int port, - [MarshalAs(UnmanagedType.LPStr)] string apiKey = ""); - public IntPtr LLMClient_Construct_Remote(string url, int port, string apiKey = "") => LlamaLib.LLMClient_Construct_Remote_Static(url, port, apiKey); + [MarshalAs(UnmanagedType.LPStr)] string apiKey = "", + int numRetries = 5); + public IntPtr LLMClient_Construct_Remote(string url, int port, string apiKey = "", int numRetries = 5) => LlamaLib.LLMClient_Construct_Remote_Static(url, port, apiKey, numRetries); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMClient_Set_SSL")] + public static extern void LLMClient_Set_SSL_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string SSLCert); + public void LLMClient_Set_SSL(IntPtr llm, string SSLCert) => LlamaLib.LLMClient_Set_SSL_Static(llm, SSLCert); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMClient_Is_Server_Alive")] + public static extern bool LLMClient_Is_Server_Alive_Static(IntPtr llm); + public bool LLMClient_Is_Server_Alive(IntPtr llm) => LlamaLib.LLMClient_Is_Server_Alive_Static(llm); // LLMAgent functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Construct")] @@ -305,6 +314,7 @@ public static extern void LLMAgent_Add_Message_Static(IntPtr llm, // Desktop platform implementation with dynamic loading private static List instances = new List(); private static readonly object runtimeLock = new object(); + public static string baseLibraryPath = Assembly.GetExecutingAssembly().Location; private static IntPtr runtimeLibraryHandle = IntPtr.Zero; private IntPtr libraryHandle = IntPtr.Zero; private static int debugLevelGlobal = 0; @@ -353,11 +363,9 @@ public static string GetPlatform() public virtual string FindLibrary(string libraryName) { - string baseDir = Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location); - List lookupDirs = new List(); - lookupDirs.Add(Path.Combine(baseDir, "runtimes", GetPlatform(), "native")); - lookupDirs.Add(baseDir); + lookupDirs.Add(baseLibraryPath); + lookupDirs.Add(Path.Combine(baseLibraryPath, "runtimes", GetPlatform(), "native")); foreach (string lookupDir in lookupDirs) { @@ -452,6 +460,8 @@ private void LoadFunctionPointers() LLMService_From_Command = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_From_Command"); LLMClient_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct"); LLMClient_Construct_Remote = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct_Remote"); + LLMClient_Set_SSL = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Set_SSL"); + LLMClient_Is_Server_Alive = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Is_Server_Alive"); LLMAgent_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Construct"); LLMAgent_Set_User_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_User_Role"); LLMAgent_Get_User_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_User_Role"); @@ -586,11 +596,20 @@ public delegate IntPtr LLMService_Construct_Delegate( [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate IntPtr LLMService_From_Command_Delegate([MarshalAs(UnmanagedType.LPStr)] string paramsString); + // LLMClient functions [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate IntPtr LLMClient_Construct_Delegate(IntPtr llm); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMClient_Construct_Remote_Delegate([MarshalAs(UnmanagedType.LPStr)] string url, int port, [MarshalAs(UnmanagedType.LPStr)] string apiKey = ""); + public delegate IntPtr LLMClient_Construct_Remote_Delegate( + [MarshalAs(UnmanagedType.LPStr)] string url, int port, [MarshalAs(UnmanagedType.LPStr)] string apiKey = "", int numRetries = 5 + ); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMClient_Set_SSL_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string SSLCert); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate bool LLMClient_Is_Server_Alive_Delegate(IntPtr llm); // LLMAgent functions [UnmanagedFunctionPointer(CallingConvention.Cdecl)] @@ -707,6 +726,8 @@ public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, public LLMService_From_Command_Delegate LLMService_From_Command; public LLMClient_Construct_Delegate LLMClient_Construct; public LLMClient_Construct_Remote_Delegate LLMClient_Construct_Remote; + public LLMClient_Set_SSL_Delegate LLMClient_Set_SSL; + public LLMClient_Is_Server_Alive_Delegate LLMClient_Is_Server_Alive; public LLMAgent_Construct_Delegate LLMAgent_Construct; public LLMAgent_Set_User_Role_Delegate LLMAgent_Set_User_Role; public LLMAgent_Get_User_Role_Delegate LLMAgent_Get_User_Role; From 548820b4aa9fe16399e1f375ba5d97aba4d75832 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Thu, 13 Nov 2025 15:03:45 +0200 Subject: [PATCH 24/69] simplify library finding --- Runtime/LLM.cs | 27 +++------------------------ Runtime/LLMUnitySetup.cs | 11 +++++++++-- 2 files changed, 12 insertions(+), 26 deletions(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index 5120ff98..ac983c49 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -449,12 +449,12 @@ private async Task StartServiceAsync() private void CreateLib() { bool useGPU = numGPULayers > 0; - llmlib = new LlamaLibUnity(useGPU); + llmlib = new LlamaLib(useGPU); if (LLMUnitySetup.DebugMode <= LLMUnitySetup.DebugModeType.All) { - LlamaLibUnity.Debug(LLMUnitySetup.DebugModeType.All - LLMUnitySetup.DebugMode + 1); - LlamaLibUnity.LoggingCallback(LLMUnitySetup.Log); + LlamaLib.Debug(LLMUnitySetup.DebugModeType.All - LLMUnitySetup.DebugMode + 1); + LlamaLib.LoggingCallback(LLMUnitySetup.Log); } } @@ -917,25 +917,4 @@ public static string GetLLMManagerAssetRuntime(string path) /// \endcond #endregion } - - /// - /// Unity-specific implementation of LlamaLib for handling native library loading. - /// - public class LlamaLibUnity : UndreamAI.LlamaLib.LlamaLib - { - public LlamaLibUnity(bool gpu = false) : base(gpu) {} - - public override string FindLibrary(string libraryName) - { - string lookupDir = Path.Combine(LLMUnitySetup.libraryPath, GetPlatform(), "native"); - string libraryPath = Path.Combine(lookupDir, libraryName); - - if (File.Exists(libraryPath)) - { - return libraryPath; - } - - throw new FileNotFoundException($"Native library not found: {libraryName} in {lookupDir}"); - } - } } diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index 0b0a6cc4..876d797e 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -9,6 +9,7 @@ using System.Collections.Generic; using UnityEngine.Networking; using System.Text.RegularExpressions; +using UndreamAI.LlamaLib; /// @defgroup llm LLM /// @defgroup template Chat Templates @@ -239,11 +240,17 @@ public static string GetDownloadAssetPath(string relPath = "") return Path.Combine(assetsDir, relPath).Replace('\\', '/'); } + static void InitializeOnLoadCommon() + { + LoadPlayerPrefs(); + LlamaLib.baseLibraryPath = Path.Combine(libraryPath, LlamaLib.GetPlatform(), "native"); + } + #if UNITY_EDITOR [InitializeOnLoadMethod] static async Task InitializeOnLoad() { - LoadPlayerPrefs(); + InitializeOnLoadCommon(); await DownloadLibrary(); } @@ -251,7 +258,7 @@ static async Task InitializeOnLoad() [RuntimeInitializeOnLoadMethod(RuntimeInitializeLoadType.BeforeSceneLoad)] void InitializeOnLoad() { - LoadPlayerPrefs(); + InitializeOnLoadCommon(); } #endif From 1425189ee109d205893efa18029be5a6df6523f4 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Thu, 13 Nov 2025 15:09:52 +0200 Subject: [PATCH 25/69] small fixes --- Runtime/LLMAgent.cs | 2 +- Runtime/LLMCharacter.cs | 2 +- Runtime/LLMClient.cs | 16 +++++- Tests/Runtime/TestLLM.cs | 112 ++++++++++++++++++--------------------- 4 files changed, 68 insertions(+), 64 deletions(-) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 6323af73..91e8d60e 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -254,7 +254,7 @@ public virtual string GetCacheSavePath(string filename) /// public virtual async Task ClearChat() { - await CheckLLMClient(); + await CheckLLMClient(checkConnection: false); llmAgent.ClearHistory(); } diff --git a/Runtime/LLMCharacter.cs b/Runtime/LLMCharacter.cs index 2323882e..f810e76f 100644 --- a/Runtime/LLMCharacter.cs +++ b/Runtime/LLMCharacter.cs @@ -28,7 +28,7 @@ public LLMCharacter() public void SetPrompt(string newPrompt, bool clearChat = true) { systemPrompt = newPrompt; - if (clearChat) ClearChat(); + if (clearChat) _ = ClearChat(); } } } diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 23e08b61..24ebabf0 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -44,6 +44,10 @@ public class LLMClient : MonoBehaviour [Tooltip("Port number of remote LLM server")] [Remote, SerializeField] protected int _port = 13333; + /// Number of retries of remote LLM server + [Tooltip("Number of retries of remote LLM server")] + [Remote, SerializeField] protected int numRetries = 5; + /// Grammar constraints for output formatting (GBNF or JSON schema format) [Tooltip("Grammar constraints for output formatting (GBNF or JSON schema format)")] [ModelAdvanced, SerializeField] protected string _grammar = ""; @@ -236,11 +240,19 @@ protected virtual void Reset() #endregion #region Initialization - protected virtual async Task CheckLLMClient() + protected virtual async Task CheckLLMClient(bool checkConnection = true) { await startSemaphore.WaitAsync(); startSemaphore.Release(); if (GetCaller() == null) LLMUnitySetup.LogError("LLMClient not initialized", true); + if (remote && checkConnection) + { + for (int attempt = 0; attempt <= numRetries; attempt++) + { + if (llmClient.IsServerAlive()) break; + await Task.Yield(); + } + } } /// @@ -261,7 +273,7 @@ protected virtual async Task SetupLLMClient() } else { - llmClient = new UndreamAI.LlamaLib.LLMClient(host, port, APIKey); + llmClient = new UndreamAI.LlamaLib.LLMClient(host, port, APIKey, numRetries); } SetGrammar(grammar); diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 7895bf1e..adf96aae 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -116,7 +116,7 @@ public class TestLLM protected GameObject gameObject; protected LLM llm; - protected LLMCharacter llmCharacter; + protected LLMAgent llmAgent; protected Exception error = null; protected string prompt; protected string prompt2; @@ -144,7 +144,7 @@ public virtual async Task Init() gameObject = new GameObject(); gameObject.SetActive(false); llm = CreateLLM(); - llmCharacter = CreateLLMCharacter(); + llmAgent = CreateLLMAgent(); gameObject.SetActive(true); } @@ -233,18 +233,18 @@ public virtual LLM CreateLLM() return llm; } - public virtual LLMCharacter CreateLLMCharacter() + public virtual LLMAgent CreateLLMAgent() { - LLMCharacter llmCharacter = gameObject.AddComponent(); - llmCharacter.llm = llm; - llmCharacter.playerName = "User"; - llmCharacter.AIName = "Assistant"; - llmCharacter.prompt = prompt; - llmCharacter.temperature = 0; - llmCharacter.seed = 0; - llmCharacter.numPredict = 50; - llmCharacter.port = port; - return llmCharacter; + LLMAgent llmAgent = gameObject.AddComponent(); + llmAgent.llm = llm; + llmAgent.userRole = "User"; + llmAgent.assistantRole = "Assistant"; + llmAgent.systemPrompt = prompt; + llmAgent.temperature = 0; + llmAgent.seed = 0; + llmAgent.numPredict = 50; + llmAgent.port = port; + return llmAgent; } [UnityTest] @@ -277,24 +277,24 @@ public async Task RunTestsTask() public virtual async Task Tests() { TestArchitecture(); - await llmCharacter.Tokenize("I", TestTokens); - await llmCharacter.Warmup(); - Assert.AreEqual(llmCharacter.chat.Count, 1); + await llmAgent.Tokenize("I", TestTokens); + await llmAgent.Warmup(); + Assert.AreEqual(llmAgent.chat.Count, 1); TestWarmup(); - string reply = await llmCharacter.Chat(query); + string reply = await llmAgent.Chat(query); TestChat(reply, reply1); TestPostChat(3); - llmCharacter.SetPrompt(prompt2); - reply = await llmCharacter.Chat(query, TestStreamingChat); + llmAgent.systemPrompt = prompt2; + reply = await llmAgent.Chat(query, TestStreamingChat); TestChat(reply, reply2); TestPostChat(3); - await llmCharacter.Chat("bye!"); + await llmAgent.Chat("bye!"); TestPostChat(5); - List embeddings = await llmCharacter.Embeddings("hi how are you?"); + List embeddings = await llmAgent.Embeddings("hi how are you?"); TestEmbeddings(embeddings); } @@ -310,7 +310,7 @@ public void TestTokens(List tokens) public void TestWarmup() { - Assert.That(llmCharacter.chat.Count == 1); + Assert.That(llmAgent.chat.Count == 1); } public void TestStreamingChat(string reply) @@ -331,7 +331,7 @@ public void TestChat(string reply, string replyGT) public void TestPostChat(int num) { - Assert.That(llmCharacter.chat.Count == num); + Assert.That(llmAgent.chat.Count == num); } public void TestEmbeddings(List embeddings) @@ -420,16 +420,8 @@ public override LLM CreateLLM() public override void SetParameters() { base.SetParameters(); - // prompt = ""; - if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer) - { - reply1 = "I am sorry, but I cannot assist with this request. Please try again or ask a different question."; - } - else - { - reply1 = "I am sorry, but I cannot respond to your message as it is empty.Could you please provide a meaningful query or content ?"; - } - reply2 = "False response."; + reply1 = "Ants are known for their ability to build complex structures, though it's not always obvious."; + reply2 = "Sure! \"Ants are so sneaky, they can even steal your lunch!\""; tokens1 = 5; tokens2 = 9; loraWeight = 0.9f; @@ -467,11 +459,11 @@ public override LLM CreateLLM() return llm; } - public override LLMCharacter CreateLLMCharacter() + public override LLMAgent CreateLLMAgent() { - LLMCharacter llmCharacter = base.CreateLLMCharacter(); - llmCharacter.remote = true; - return llmCharacter; + LLMAgent llmAgent = base.CreateLLMAgent(); + llmAgent.remote = true; + return llmAgent; } } @@ -484,18 +476,18 @@ public override LLM CreateLLM() return llm; } - public override LLMCharacter CreateLLMCharacter() + public override LLMAgent CreateLLMAgent() { - LLMCharacter llmCharacter = base.CreateLLMCharacter(); - llmCharacter.remote = true; - return llmCharacter; + LLMAgent llmAgent = base.CreateLLMAgent(); + llmAgent.remote = true; + return llmAgent; } } public class TestLLM_Double : TestLLM { LLM llm1; - LLMCharacter llmCharacter1; + LLMAgent llmAgent1; public override async Task Init() { @@ -504,28 +496,28 @@ public override async Task Init() gameObject = new GameObject(); gameObject.SetActive(false); llm = CreateLLM(); - llmCharacter = CreateLLMCharacter(); + llmAgent = CreateLLMAgent(); llm1 = CreateLLM(); - llmCharacter1 = CreateLLMCharacter(); + llmAgent1 = CreateLLMAgent(); gameObject.SetActive(true); } } - public class TestLLMCharacter_Save : TestLLM + public class TestLLMAgent_Save : TestLLM { - string saveName = "TestLLMCharacter_Save"; + string saveName = "TestLLMAgent_Save"; - public override LLMCharacter CreateLLMCharacter() + public override LLMAgent CreateLLMAgent() { - LLMCharacter llmCharacter = base.CreateLLMCharacter(); - llmCharacter.save = saveName; - llmCharacter.saveCache = true; + LLMAgent llmAgent = base.CreateLLMAgent(); + llmAgent.save = saveName; + llmAgent.saveCache = true; foreach (string filename in new string[] { - llmCharacter.GetJsonSavePath(saveName), - llmCharacter.GetCacheSavePath(saveName) + llmAgent.GetJsonSavePath(saveName), + llmAgent.GetCacheSavePath(saveName) }) if (File.Exists(filename)) File.Delete(filename); - return llmCharacter; + return llmAgent; } public override async Task Tests() @@ -536,8 +528,8 @@ public override async Task Tests() public void TestSave() { - string jsonPath = llmCharacter.GetJsonSavePath(saveName); - string cachePath = llmCharacter.GetCacheSavePath(saveName); + string jsonPath = llmAgent.GetJsonSavePath(saveName); + string cachePath = llmAgent.GetCacheSavePath(saveName); Assert.That(File.Exists(jsonPath)); Assert.That(File.Exists(cachePath)); string json = File.ReadAllText(jsonPath); @@ -546,15 +538,15 @@ public void TestSave() List chatHistory = JsonUtility.FromJson(json).chat; Assert.AreEqual(chatHistory.Count, 2); - Assert.AreEqual(chatHistory[0].role, llmCharacter.playerName); + Assert.AreEqual(chatHistory[0].role, llmAgent.userRole); Assert.AreEqual(chatHistory[0].content, "hi"); - Assert.AreEqual(chatHistory[1].role, llmCharacter.AIName); + Assert.AreEqual(chatHistory[1].role, llmAgent.assistantRole); - Assert.AreEqual(llmCharacter.chat.Count, chatHistory.Count + 1); + Assert.AreEqual(llmAgent.chat.Count, chatHistory.Count + 1); for (int i = 0; i < chatHistory.Count; i++) { - Assert.AreEqual(chatHistory[i].role, llmCharacter.chat[i + 1].role); - Assert.AreEqual(chatHistory[i].content, llmCharacter.chat[i + 1].content); + Assert.AreEqual(chatHistory[i].role, llmAgent.chat[i + 1].role); + Assert.AreEqual(chatHistory[i].content, llmAgent.chat[i + 1].content); } } } From 9d75920743c7859227adcba45a797a6a8d87b2f5 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 17 Nov 2025 21:39:35 +0200 Subject: [PATCH 26/69] fix llmagent save test --- Tests/Runtime/TestLLM.cs | 21 ++++++++++++--------- 1 file changed, 12 insertions(+), 9 deletions(-) diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index adf96aae..2d51f90c 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -11,10 +11,16 @@ using UnityEngine.TestTools; using UnityEditor; using UnityEditor.TestTools.TestRunner.Api; -using ChatMessage = UndreamAI.LlamaLib.ChatMessage; namespace LLMUnityTests { + [Serializable] + public class ChatMessage + { + public string role; + public string content; + } + [Serializable] public class ChatListWrapper { @@ -512,11 +518,8 @@ public override LLMAgent CreateLLMAgent() LLMAgent llmAgent = base.CreateLLMAgent(); llmAgent.save = saveName; llmAgent.saveCache = true; - foreach (string filename in new string[] - { - llmAgent.GetJsonSavePath(saveName), - llmAgent.GetCacheSavePath(saveName) - }) if (File.Exists(filename)) File.Delete(filename); + foreach (string filename in new string[] {llmAgent.GetJsonSavePath(saveName), llmAgent.GetCacheSavePath(saveName)}) + if (File.Exists(filename)) File.Delete(filename); return llmAgent; } @@ -536,10 +539,10 @@ public void TestSave() File.Delete(jsonPath); File.Delete(cachePath); - List chatHistory = JsonUtility.FromJson(json).chat; - Assert.AreEqual(chatHistory.Count, 2); + List chatHistory = JsonUtility.FromJson("{ \"chat\": " + json + " }").chat; + Assert.AreEqual(chatHistory.Count, 4); Assert.AreEqual(chatHistory[0].role, llmAgent.userRole); - Assert.AreEqual(chatHistory[0].content, "hi"); + Assert.AreEqual(chatHistory[0].content, query); Assert.AreEqual(chatHistory[1].role, llmAgent.assistantRole); Assert.AreEqual(llmAgent.chat.Count, chatHistory.Count + 1); From 6be3137f2f96347a1ba1507f2f2fed8cbe36d2b8 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 18 Nov 2025 13:13:41 +0200 Subject: [PATCH 27/69] autosave history --- Runtime/LLMAgent.cs | 2 ++ 1 file changed, 2 insertions(+) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 91e8d60e..73c613b0 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -310,6 +310,8 @@ public virtual async Task Chat(string query, LlamaLib.CharArrayCallback LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback, this); SetCompletionParameters(); string result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback); + + if (addToHistory && result != null && save != "") _ = Save(save); completionCallback?.Invoke(); return result; } From 7d27df9a445d657d03f6e688e95208e2d559df04 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 18 Nov 2025 13:14:18 +0200 Subject: [PATCH 28/69] fix blas selection with exclusion list --- Runtime/LLMUnitySetup.cs | 5 +++-- Runtime/LlamaLib/LlamaLib.cs | 30 ++++++++++++++++++++++++++---- Tests/Runtime/TestLLM.cs | 26 ++++++++++++-------------- 3 files changed, 41 insertions(+), 20 deletions(-) diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index 876d797e..d86acbf8 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -242,7 +242,6 @@ public static string GetDownloadAssetPath(string relPath = "") static void InitializeOnLoadCommon() { - LoadPlayerPrefs(); LlamaLib.baseLibraryPath = Path.Combine(libraryPath, LlamaLib.GetPlatform(), "native"); } @@ -250,13 +249,15 @@ static void InitializeOnLoadCommon() [InitializeOnLoadMethod] static async Task InitializeOnLoad() { + LoadPlayerPrefs(); + LlamaLib.libraryExclusion = new List(){CUBLAS ? "tinyblas" : "cublas"}; InitializeOnLoadCommon(); await DownloadLibrary(); } #else [RuntimeInitializeOnLoadMethod(RuntimeInitializeLoadType.BeforeSceneLoad)] - void InitializeOnLoad() + static void InitializeOnLoad() { InitializeOnLoadCommon(); } diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index 37bcf643..62ee973c 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -314,7 +314,8 @@ public static extern void LLMAgent_Add_Message_Static(IntPtr llm, // Desktop platform implementation with dynamic loading private static List instances = new List(); private static readonly object runtimeLock = new object(); - public static string baseLibraryPath = Assembly.GetExecutingAssembly().Location; + public static string baseLibraryPath = Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location); + public static List libraryExclusion = new List(); private static IntPtr runtimeLibraryHandle = IntPtr.Zero; private IntPtr libraryHandle = IntPtr.Zero; private static int debugLevelGlobal = 0; @@ -391,7 +392,7 @@ private string GetRuntimeLibraryPath() return FindLibrary(libName); } - private void LoadLibraries(bool gpu) + private string[] GetAvailableArchitectures(bool gpu) { string architecturesString = Marshal.PtrToStringAnsi(Available_Architectures(gpu)); if (string.IsNullOrEmpty(architecturesString)) @@ -399,9 +400,30 @@ private void LoadLibraries(bool gpu) throw new InvalidOperationException("No architectures available for the specified GPU setting."); } - string[] libraries = architecturesString.Split(','); - Exception lastException = null; + string[] librariesOptions = architecturesString.Split(','); + List libraries = new List(); + foreach (string library in librariesOptions) + { + bool skip = false; + string libraryLower = library.ToLower(); + foreach (string exclusionKeyword in libraryExclusion) + { + if (libraryLower.Contains(exclusionKeyword)) + { + skip = true; + break; + } + } + if (skip) continue; + libraries.Add(library); + } + return libraries.ToArray(); + } + private void LoadLibraries(bool gpu) + { + string[] libraries = GetAvailableArchitectures(gpu); + Exception lastException = null; foreach (string library in libraries) { try diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 2d51f90c..2cd885c2 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -11,6 +11,7 @@ using UnityEngine.TestTools; using UnityEditor; using UnityEditor.TestTools.TestRunner.Api; +using LlamaLibCore = UndreamAI.LlamaLib.LlamaLib; namespace LLMUnityTests { @@ -48,7 +49,8 @@ public void RunFinished(ITestResultAdaptor result) public void TestStarted(ITestAdaptor test) { - LLMUnitySetup.CUBLAS = test.FullName.Contains("cublas"); + LLMUnitySetup.CUBLAS = test.FullName.Contains("cuBLAS"); + LlamaLibCore.libraryExclusion = new List(){LLMUnitySetup.CUBLAS ? "tinyblas" : "cublas"}; } public void TestFinished(ITestResultAdaptor result) @@ -554,7 +556,7 @@ public void TestSave() } } - public class TestLLM_CUDA : TestLLM + public class TestLLM_tinyBLAS : TestLLM { public override LLM CreateLLM() { @@ -567,27 +569,26 @@ public override void SetParameters() { base.SetParameters(); reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have a brain."; - if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) - { - reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, which is a fascinating example of teamwork."; - } + reply2 = "Sure! \"Ants are so sneaky, they can even build nests that look like giant spiders!\""; } public override void TestArchitecture() { - Assert.That(llm.architecture.Contains("cuda")); + Debug.Log(llm.architecture); + Debug.Log(LLMUnitySetup.CUBLAS); + Assert.That(llm.architecture.Contains("tinyblas")); } } - public class TestLLM_CUDA_full : TestLLM_CUDA + public class TestLLM_cuBLAS : TestLLM_tinyBLAS { public override void TestArchitecture() { - Assert.That(llm.architecture.Contains("cuda") && llm.architecture.Contains("full")); + Assert.That(llm.architecture.Contains("cublas")); } } - public class TestLLM_CUDA_full_attention : TestLLM_CUDA_full + public class TestLLM_cuBLAS_FA : TestLLM_cuBLAS { public override LLM CreateLLM() { @@ -599,10 +600,7 @@ public override LLM CreateLLM() public override void SetParameters() { base.SetParameters(); - if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer) - { - reply2 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; - } + reply1 = "Sure! Ants are known for their incredible teamwork, often working together to build complex structures like nests."; } } } From 68412f69e383cd645051136533ca125d2bfa4773 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 18 Nov 2025 15:13:16 +0200 Subject: [PATCH 29/69] adapt for chat history removal of system prompt --- Tests/Runtime/TestLLM.cs | 20 +++++++------------- 1 file changed, 7 insertions(+), 13 deletions(-) diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 2cd885c2..ac40cf36 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -287,20 +287,19 @@ public virtual async Task Tests() TestArchitecture(); await llmAgent.Tokenize("I", TestTokens); await llmAgent.Warmup(); - Assert.AreEqual(llmAgent.chat.Count, 1); - TestWarmup(); + TestPostChat(0); string reply = await llmAgent.Chat(query); TestChat(reply, reply1); - TestPostChat(3); + TestPostChat(2); llmAgent.systemPrompt = prompt2; reply = await llmAgent.Chat(query, TestStreamingChat); TestChat(reply, reply2); - TestPostChat(3); + TestPostChat(2); await llmAgent.Chat("bye!"); - TestPostChat(5); + TestPostChat(4); List embeddings = await llmAgent.Embeddings("hi how are you?"); TestEmbeddings(embeddings); @@ -316,11 +315,6 @@ public void TestTokens(List tokens) Assert.AreEqual(tokens, new List { 40 }); } - public void TestWarmup() - { - Assert.That(llmAgent.chat.Count == 1); - } - public void TestStreamingChat(string reply) { Assert.That(reply != ""); @@ -547,11 +541,11 @@ public void TestSave() Assert.AreEqual(chatHistory[0].content, query); Assert.AreEqual(chatHistory[1].role, llmAgent.assistantRole); - Assert.AreEqual(llmAgent.chat.Count, chatHistory.Count + 1); + Assert.AreEqual(llmAgent.chat.Count, chatHistory.Count); for (int i = 0; i < chatHistory.Count; i++) { - Assert.AreEqual(chatHistory[i].role, llmAgent.chat[i + 1].role); - Assert.AreEqual(chatHistory[i].content, llmAgent.chat[i + 1].content); + Assert.AreEqual(chatHistory[i].role, llmAgent.chat[i].role); + Assert.AreEqual(chatHistory[i].content, llmAgent.chat[i].content); } } } From ea13827a098fed08d69e94579c8456bc3623d3e6 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 18 Nov 2025 16:47:36 +0200 Subject: [PATCH 30/69] functionality to return and show the service command --- Runtime/LLM.cs | 1 + Runtime/LlamaLib/LLMService.cs | 13 +++++++++++++ Runtime/LlamaLib/LlamaLib.cs | 9 +++++++++ 3 files changed, 23 insertions(+) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index ac983c49..d90e52ec 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -502,6 +502,7 @@ await Task.Run(() => flashAttention, contextSize, batchSize, embeddingsOnly, loraPaths.ToArray()); llmService = new LLMService(llmlib, llmPtr); + LLMUnitySetup.Log($"Deploy server command: llamalib_**architecture**_server {llmService.Command}"); SetupServer(); llmService.Start(); diff --git a/Runtime/LlamaLib/LLMService.cs b/Runtime/LlamaLib/LLMService.cs index 3a9eb772..3cff34dc 100644 --- a/Runtime/LlamaLib/LLMService.cs +++ b/Runtime/LlamaLib/LLMService.cs @@ -122,5 +122,18 @@ public static IntPtr CreateLLM(LlamaLib llamaLib, string modelPath, int numSlots } } } + + public string Command + { + get + { + CheckLlamaLib(); + return Marshal.PtrToStringAnsi(llamaLib.LLMService_Command(llm)) ?? ""; + } + + set + { + } + } } } diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index 62ee973c..0a405532 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -189,6 +189,10 @@ public IntPtr LLMService_Construct( public static extern IntPtr LLMService_From_Command_Static([MarshalAs(UnmanagedType.LPStr)] string paramsString); public IntPtr LLMService_From_Command(string paramsString) => LlamaLib.LLMService_From_Command_Static(paramsString); + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMService_Command")] + public static extern IntPtr LLMService_Command_Static(IntPtr llm); + public IntPtr LLMService_Command(IntPtr llm) => LlamaLib.LLMService_Command_Static(llm); + // LLMClient functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMClient_Construct")] public static extern IntPtr LLMClient_Construct_Static(IntPtr llm); @@ -480,6 +484,7 @@ private void LoadFunctionPointers() LLM_Embedding_Size = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Embedding_Size"); LLMService_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Construct"); LLMService_From_Command = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_From_Command"); + LLMService_Command = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Command"); LLMClient_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct"); LLMClient_Construct_Remote = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct_Remote"); LLMClient_Set_SSL = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Set_SSL"); @@ -618,6 +623,9 @@ public delegate IntPtr LLMService_Construct_Delegate( [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate IntPtr LLMService_From_Command_Delegate([MarshalAs(UnmanagedType.LPStr)] string paramsString); + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMService_Command_Delegate(IntPtr llm); + // LLMClient functions [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate IntPtr LLMClient_Construct_Delegate(IntPtr llm); @@ -746,6 +754,7 @@ public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, public LLM_Embedding_Size_Delegate LLM_Embedding_Size; public LLMService_Construct_Delegate LLMService_Construct; public LLMService_From_Command_Delegate LLMService_From_Command; + public LLMService_Command_Delegate LLMService_Command; public LLMClient_Construct_Delegate LLMClient_Construct; public LLMClient_Construct_Remote_Delegate LLMClient_Construct_Remote; public LLMClient_Set_SSL_Delegate LLMClient_Set_SSL; From 35804a60d9c5aae17dc1b2d609d04b848bdf2df3 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 18 Nov 2025 16:50:19 +0200 Subject: [PATCH 31/69] remove chat template tests --- Tests/Runtime/TestLLMChatTemplates.cs | 200 --------------------- Tests/Runtime/TestLLMChatTemplates.cs.meta | 11 -- 2 files changed, 211 deletions(-) delete mode 100644 Tests/Runtime/TestLLMChatTemplates.cs delete mode 100644 Tests/Runtime/TestLLMChatTemplates.cs.meta diff --git a/Tests/Runtime/TestLLMChatTemplates.cs b/Tests/Runtime/TestLLMChatTemplates.cs deleted file mode 100644 index 10969196..00000000 --- a/Tests/Runtime/TestLLMChatTemplates.cs +++ /dev/null @@ -1,200 +0,0 @@ -// using LLMUnity; -// using System.Collections.Generic; -// using NUnit.Framework.Internal; -// using NUnit.Framework; - -// namespace LLMUnityTests -// { -// public class TestChatTemplate -// { -// List messages = new List() -// { -// new ChatMessage {role = "system", content = "you are a bot"}, -// new ChatMessage {role = "user", content = "Hello, how are you?"}, -// new ChatMessage {role = "assistant", content = "I'm doing great. How can I help you today?"}, -// new ChatMessage {role = "user", content = "I'd like to show off how chat templating works!"}, -// new ChatMessage {role = "assistant", content = "chat template is awesome"}, -// new ChatMessage {role = "user", content = "do you think so?"}, -// }; - -// [Test] -// public void TestChatML() -// { -// Assert.AreEqual( -// new ChatMLTemplate().ComputePrompt(messages, "user", "assistant"), -// "<|im_start|>system\nyou are a bot<|im_end|>\n<|im_start|>user\nHello, how are you?<|im_end|>\n<|im_start|>assistant\nI'm doing great. How can I help you today?<|im_end|>\n<|im_start|>user\nI'd like to show off how chat templating works!<|im_end|>\n<|im_start|>assistant\nchat template is awesome<|im_end|>\n<|im_start|>user\ndo you think so?<|im_end|>\n<|im_start|>assistant\n" -// ); -// } - -// [Test] -// public void TestGemma() -// { -// Assert.AreEqual( -// new GemmaTemplate().ComputePrompt(messages, "user", "assistant"), -// "user\nyou are a bot\n\nHello, how are you?\nmodel\nI'm doing great. How can I help you today?\nuser\nI'd like to show off how chat templating works!\nmodel\nchat template is awesome\nuser\ndo you think so?\nmodel\n" -// ); -// } - -// [Test] -// public void TestMistralInstruct() -// { -// Assert.AreEqual( -// new MistralInstructTemplate().ComputePrompt(messages, "user", "assistant"), -// "[INST] you are a bot\n\nHello, how are you? [/INST]I'm doing great. How can I help you today?[INST] I'd like to show off how chat templating works! [/INST]chat template is awesome[INST] do you think so? [/INST]" -// ); -// } - -// [Test] -// public void TestMistralChat() -// { -// Assert.AreEqual( -// new MistralChatTemplate().ComputePrompt(messages, "user", "assistant"), -// "[INST] you are a bot\n\n### user: Hello, how are you? [/INST]### assistant: I'm doing great. How can I help you today?[INST] ### user: I'd like to show off how chat templating works! [/INST]### assistant: chat template is awesome[INST] ### user: do you think so? [/INST]### assistant:" -// ); -// } - -// [Test] -// public void TestLLama2() -// { -// Assert.AreEqual( -// new LLama2Template().ComputePrompt(messages, "user", "assistant"), -// "[INST] <>\nyou are a bot\n<> Hello, how are you? [/INST]I'm doing great. How can I help you today? [INST] I'd like to show off how chat templating works! [/INST]chat template is awesome [INST] do you think so? [/INST]" -// ); -// } - -// [Test] -// public void TestLLama2Chat() -// { -// Assert.AreEqual( -// new LLama2ChatTemplate().ComputePrompt(messages, "user", "assistant"), -// "[INST] <>\nyou are a bot\n<> ### user: Hello, how are you? [/INST]### assistant: I'm doing great. How can I help you today? [INST] ### user: I'd like to show off how chat templating works! [/INST]### assistant: chat template is awesome [INST] ### user: do you think so? [/INST]### assistant:" -// ); -// } - -// [Test] -// public void TestLLama3Chat() -// { -// Assert.AreEqual( -// new LLama3ChatTemplate().ComputePrompt(messages, "user", "assistant"), -// "<|start_header_id|>system<|end_header_id|>\n\nyou are a bot<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nHello, how are you?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nI'm doing great. How can I help you today?<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nI'd like to show off how chat templating works!<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\nchat template is awesome<|eot_id|><|start_header_id|>user<|end_header_id|>\n\ndo you think so?<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n" -// ); -// } - -// [Test] -// public void TestAlpaca() -// { -// Assert.AreEqual( -// new AlpacaTemplate().ComputePrompt(messages, "user", "assistant"), -// "you are a bot\n\n### user: Hello, how are you?\n### assistant: I'm doing great. How can I help you today?\n### user: I'd like to show off how chat templating works!\n### assistant: chat template is awesome\n### user: do you think so?\n### assistant:" -// ); -// } - -// [Test] -// public void TestVicuna() -// { -// Assert.AreEqual( -// new VicunaTemplate().ComputePrompt(messages, "user", "assistant"), -// "you are a bot\n\nuser: Hello, how are you?\nassistant: I'm doing great. How can I help you today?\nuser: I'd like to show off how chat templating works!\nassistant: chat template is awesome\nuser: do you think so?\nassistant:" -// ); -// } - -// [Test] -// public void TestPhi2() -// { -// Assert.AreEqual( -// new Phi2Template().ComputePrompt(messages, "user", "assistant"), -// "you are a bot\n\nuser: Hello, how are you?\nassistant: I'm doing great. How can I help you today?\nuser: I'd like to show off how chat templating works!\nassistant: chat template is awesome\nuser: do you think so?\nassistant:" -// ); -// } - -// [Test] -// public void TestPhi3() -// { -// Assert.AreEqual( -// new Phi3Template().ComputePrompt(messages, "user", "assistant"), -// "<|user|>\nyou are a bot\n\nHello, how are you?<|end|>\n<|assistant|>\nI'm doing great. How can I help you today?<|end|>\n<|user|>\nI'd like to show off how chat templating works!<|end|>\n<|assistant|>\nchat template is awesome<|end|>\n<|user|>\ndo you think so?<|end|>\n<|assistant|>\n" -// ); -// } - -// [Test] -// public void TestPhi3_5() -// { -// Assert.AreEqual( -// new Phi3_5Template().ComputePrompt(messages, "user", "assistant"), -// "<|system|>\nyou are a bot<|end|>\n<|user|>\nHello, how are you?<|end|>\n<|assistant|>\nI'm doing great. How can I help you today?<|end|>\n<|user|>\nI'd like to show off how chat templating works!<|end|>\n<|assistant|>\nchat template is awesome<|end|>\n<|user|>\ndo you think so?<|end|>\n<|assistant|>\n" -// ); -// } - -// [Test] -// public void TestPhi4Mini() -// { -// Assert.AreEqual( -// new Phi4MiniTemplate().ComputePrompt(messages, "user", "assistant"), -// "<|system|>you are a bot<|end|><|user|>Hello, how are you?<|end|><|assistant|>I'm doing great. How can I help you today?<|end|><|user|>I'd like to show off how chat templating works!<|end|><|assistant|>chat template is awesome<|end|><|user|>do you think so?<|end|><|assistant|>" -// ); -// } - -// [Test] -// public void TestPhi4() -// { -// Assert.AreEqual( -// new Phi4Template().ComputePrompt(messages, "user", "assistant"), -// "<|im_start|>system<|im_sep|>you are a bot<|im_end|><|im_start|>user<|im_sep|>Hello, how are you?<|im_end|><|im_start|>assistant<|im_sep|>I'm doing great. How can I help you today?<|im_end|><|im_start|>user<|im_sep|>I'd like to show off how chat templating works!<|im_end|><|im_start|>assistant<|im_sep|>chat template is awesome<|im_end|><|im_start|>user<|im_sep|>do you think so?<|im_end|><|im_start|>assistant<|im_sep|>" -// ); -// } - -// [Test] -// public void TestZephyr() -// { -// Assert.AreEqual( -// new ZephyrTemplate().ComputePrompt(messages, "user", "assistant"), -// "<|system|>\nyou are a bot\n<|user|>\nHello, how are you?\n<|assistant|>\nI'm doing great. How can I help you today?\n<|user|>\nI'd like to show off how chat templating works!\n<|assistant|>\nchat template is awesome\n<|user|>\ndo you think so?\n<|assistant|>\n" -// ); -// } - -// [Test] -// public void TestDeepSeekV2() -// { -// Assert.AreEqual( -// new DeepSeekV2Template().ComputePrompt(messages, "user", "assistant"), -// "<｜begin▁of▁sentence｜>you are a bot\n\nUser: Hello, how are you?\n\nAssistant: I'm doing great. How can I help you today?<｜end▁of▁sentence｜>User: I'd like to show off how chat templating works!\n\nAssistant: chat template is awesome<｜end▁of▁sentence｜>User: do you think so?\n\nAssistant:" -// ); -// } - -// [Test] -// public void TestDeepSeekV3() -// { -// Assert.AreEqual( -// new DeepSeekV3Template().ComputePrompt(messages, "user", "assistant"), -// "<｜begin▁of▁sentence｜>you are a bot\n\n<｜User｜>Hello, how are you?<｜Assistant｜>I'm doing great. How can I help you today?<｜end▁of▁sentence｜><｜User｜>I'd like to show off how chat templating works!<｜Assistant｜>chat template is awesome<｜end▁of▁sentence｜><｜User｜>do you think so?<｜Assistant｜>" -// ); -// } - -// [Test] -// public void TestDeepSeekR1() -// { -// Assert.AreEqual( -// new DeepSeekR1Template().ComputePrompt(messages, "user", "assistant"), -// "<｜begin▁of▁sentence｜>you are a bot\n\n<｜User｜>Hello, how are you?<｜Assistant｜>I'm doing great. How can I help you today?<｜end▁of▁sentence｜><｜User｜>I'd like to show off how chat templating works!<｜Assistant｜>chat template is awesome<｜end▁of▁sentence｜><｜User｜>do you think so?<｜Assistant｜>\n\n\n\n" -// ); -// } - -// [Test] -// public void TestQwen3() -// { -// Assert.AreEqual( -// new Qwen3Template().ComputePrompt(messages, "user", "assistant"), -// "<|im_start|>system\nyou are a bot<|im_end|>\n<|im_start|>user\nHello, how are you?<|im_end|>\n<|im_start|>assistant\nI'm doing great. How can I help you today?<|im_end|>\n<|im_start|>user\nI'd like to show off how chat templating works!<|im_end|>\n<|im_start|>assistant\nchat template is awesome<|im_end|>\n<|im_start|>user\ndo you think so?<|im_end|>\n<|im_start|>assistant\n\n\n\n\n" -// ); -// } - -// [Test] -// public void TestBitNet() -// { -// Assert.AreEqual( -// new BitNetTemplate().ComputePrompt(messages, "user", "assistant"), -// "System: you are a bot<|eot_id|>User: Hello, how are you?<|eot_id|>Assistant: I'm doing great. How can I help you today?<|eot_id|>User: I'd like to show off how chat templating works!<|eot_id|>Assistant: chat template is awesome<|eot_id|>User: do you think so?<|eot_id|>Assistant: " -// ); -// } -// } -// } diff --git a/Tests/Runtime/TestLLMChatTemplates.cs.meta b/Tests/Runtime/TestLLMChatTemplates.cs.meta deleted file mode 100644 index fde7665b..00000000 --- a/Tests/Runtime/TestLLMChatTemplates.cs.meta +++ /dev/null @@ -1,11 +0,0 @@ -fileFormatVersion: 2 -guid: 9ec2e4cf62123918282e59dc8af27359 -MonoImporter: - externalObjects: {} - serializedVersion: 2 - defaultReferences: [] - executionOrder: 0 - icon: {instanceID: 0} - userData: - assetBundleName: - assetBundleVariant: From 84ecfc1e4034332172b348309c818228ff35fdcb Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 2 Dec 2025 12:37:36 +0200 Subject: [PATCH 32/69] remove template functionality --- Editor/LLMEditor.cs | 5 +--- Runtime/LLM.cs | 48 ------------------------------------ Runtime/LLMUnitySetup.cs | 1 - Runtime/LlamaLib/LLM.cs | 38 +++++++++------------------- Runtime/LlamaLib/LlamaLib.cs | 18 -------------- 5 files changed, 13 insertions(+), 97 deletions(-) diff --git a/Editor/LLMEditor.cs b/Editor/LLMEditor.cs index 1863a631..c031b077 100644 --- a/Editor/LLMEditor.cs +++ b/Editor/LLMEditor.cs @@ -13,7 +13,6 @@ public class LLMEditor : PropertyEditor { private ReorderableList modelList; static float nameColumnWidth = 150f; - static float templateColumnWidth = 150f; static float textColumnWidth = 150f; static float includeInBuildColumnWidth = 30f; static float actionColumnWidth = 20f; @@ -134,7 +133,7 @@ static void ResetModelOptions() float[] GetColumnWidths(bool expandedView) { - List widths = new List() { actionColumnWidth, nameColumnWidth, templateColumnWidth }; + List widths = new List() { actionColumnWidth, nameColumnWidth }; if (expandedView) widths.AddRange(new List() { textColumnWidth, textColumnWidth }); widths.AddRange(new List() { includeInBuildColumnWidth, actionColumnWidth }); return widths.ToArray(); @@ -308,7 +307,6 @@ void OnEnable() int col = 0; Rect selectRect = rects[col++]; Rect nameRect = rects[col++]; - Rect templateRect = rects[col++]; Rect urlRect = new Rect(); Rect pathRect = new Rect(); if (expandedView) @@ -386,7 +384,6 @@ void OnEnable() int col = 0; EditorGUI.LabelField(rects[col++], ""); EditorGUI.LabelField(rects[col++], "Model"); - EditorGUI.LabelField(rects[col++], "Chat template"); if (expandedView) { EditorGUI.LabelField(rects[col++], "URL"); diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index d90e52ec..b12d3c0a 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -72,10 +72,6 @@ public class LLM : MonoBehaviour [Tooltip("Enable flash attention optimization (requires compatible model)")] [ModelExtras, SerializeField] private bool _flashAttention = false; - /// Chat template for conversation formatting ("auto" = detect from model) - [Tooltip("Chat template for conversation formatting (\"auto\" = detect from model)")] - [ModelAdvanced, SerializeField] private string _chatTemplate = "auto"; - /// Enable LLM reasoning ("thinking" mode) [Tooltip("Enable LLM reasoning ('thinking' mode)")] [ModelAdvanced, SerializeField] private bool _reasoning = false; @@ -178,13 +174,6 @@ public string model set => SetModel(value); } - /// Chat template for conversation formatting ("auto" = detect from model) - public string chatTemplate - { - get => _chatTemplate; - set => SetTemplate(value); - } - /// Enable LLM reasoning ('thinking' mode) public bool reasoning { @@ -313,17 +302,6 @@ public string SSLKey public int minContextLength = 0; public int maxContextLength = 0; - public static readonly string[] ChatTemplates = new string[] - { - "auto", "chatml", "llama2", "llama2-sys", "llama2-sys-bos", "llama2-sys-strip", - "mistral-v1", "mistral-v3", "mistral-v3-tekken", "mistral-v7", "mistral-v7-tekken", - "phi3", "phi4", "falcon3", "zephyr", "monarch", "gemma", "orion", "openchat", - "vicuna", "vicuna-orca", "deepseek", "deepseek2", "deepseek3", "command-r", - "llama3", "chatglm3", "chatglm4", "glmedge", "minicpm", "exaone3", "exaone4", - "rwkv-world", "granite", "gigachat", "megrez", "yandex", "bailing", "llama4", - "smolvlm", "hunyuan-moe", "gpt-oss", "hunyuan-dense", "kimi-k2" - }; - private LlamaLib llmlib = null; // [Local, SerializeField] protected LLMService _llmService; @@ -510,7 +488,6 @@ await Task.Run(() => if (started) { ApplyLoras(); - SetTemplate(chatTemplate); SetReasoning(reasoning); } } @@ -589,31 +566,6 @@ public void SetModel(string path) #endif } - /// - /// Sets the chat template for message formatting. - /// - /// Template name (see ChatTemplates array for options) - /// Mark object dirty in editor - public void SetTemplate(string templateName, bool setDirty = true) - { - if (_chatTemplate == templateName) return; - if (!ChatTemplates.Contains(templateName)) - { - LLMUnitySetup.LogError($"Unsupported chat template: {templateName}"); - return; - } - - _chatTemplate = templateName; - if (started) - { - llmService.SetTemplate(_chatTemplate == "auto" ? "" : _chatTemplate); - } - -#if UNITY_EDITOR - if (setDirty && !EditorApplication.isPlaying) EditorUtility.SetDirty(this); -#endif - } - /// /// Enable LLM reasoning ("thinking" mode) /// diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index d86acbf8..c2f14ad5 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -12,7 +12,6 @@ using UndreamAI.LlamaLib; /// @defgroup llm LLM -/// @defgroup template Chat Templates /// @defgroup utils Utils namespace LLMUnity { diff --git a/Runtime/LlamaLib/LLM.cs b/Runtime/LlamaLib/LLM.cs index fde89b61..d0b695f0 100644 --- a/Runtime/LlamaLib/LLM.cs +++ b/Runtime/LlamaLib/LLM.cs @@ -42,7 +42,7 @@ public abstract class LLM : IDisposable protected readonly object _disposeLock = new object(); public bool disposed = false; - protected LLM() { } + protected LLM() {} protected LLM(LlamaLib llamaLibInstance) { @@ -76,20 +76,13 @@ protected void CheckLlamaLib() } } - public virtual void Dispose() { } + public virtual void Dispose() {} ~LLM() { Dispose(); } - public string GetTemplate() - { - CheckLlamaLib(); - IntPtr result = llamaLib.LLM_Get_Template(llm); - return Marshal.PtrToStringAnsi(result) ?? string.Empty; - } - public string ApplyTemplate(JArray messages = null) { if (messages == null) @@ -113,7 +106,7 @@ public List Tokenize(string content) JArray json = JArray.Parse(resultStr); ret = json?.ToObject>(); } - catch { } + catch {} return ret; } @@ -151,7 +144,7 @@ public List Embeddings(string content) JArray json = JArray.Parse(resultStr); ret = json?.ToObject>(); } - catch { } + catch {} return ret; } @@ -171,7 +164,7 @@ public JObject GetCompletionParameters() { parameters = JObject.Parse(parametersString); } - catch { } + catch {} return parameters; } @@ -218,9 +211,9 @@ public async Task CompletionAsync(string prompt, LlamaLib.CharArrayCallb // LLMLocal class public abstract class LLMLocal : LLM { - protected LLMLocal() : base() { } + protected LLMLocal() : base() {} - protected LLMLocal(LlamaLib llamaLibInstance) : base(llamaLibInstance) { } + protected LLMLocal(LlamaLib llamaLibInstance) : base(llamaLibInstance) {} public string SaveSlot(int idSlot, string filepath) { @@ -250,16 +243,9 @@ public void Cancel(int idSlot) // LLMProvider class public abstract class LLMProvider : LLMLocal { - protected LLMProvider() : base() { } + protected LLMProvider() : base() {} - protected LLMProvider(LlamaLib llamaLibInstance) : base(llamaLibInstance) { } - - - public void SetTemplate(string template) - { - CheckLlamaLib(); - llamaLib.LLM_Set_Template(llm, template ?? string.Empty); - } + protected LLMProvider(LlamaLib llamaLibInstance) : base(llamaLibInstance) {} public void EnableReasoning(bool enableReasoning) { @@ -310,7 +296,7 @@ public List ParseLoraListJSON(string result) )); } } - catch { } + catch {} return loras; } @@ -413,7 +399,7 @@ public override void Dispose() { llamaLib.LLM_Delete(llm); } - catch (Exception) { } + catch (Exception) {} } llamaLib?.Dispose(); llamaLib = null; @@ -423,4 +409,4 @@ public override void Dispose() } } } -} \ No newline at end of file +} diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index 0a405532..144dc1f0 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -54,10 +54,6 @@ public LlamaLib(bool gpu = false) public static extern void LLM_Enable_Reasoning_Static(IntPtr llm, [MarshalAs(UnmanagedType.I1)] bool enable_reasoning); public void LLM_Enable_Reasoning(IntPtr llm, bool enable_reasoning) => LLM_Enable_Reasoning_Static(llm, enable_reasoning); - [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Get_Template")] - public static extern IntPtr LLM_Get_Template_Static(IntPtr llm); - public IntPtr LLM_Get_Template(IntPtr llm) => LLM_Get_Template_Static(llm); - [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Apply_Template")] public static extern IntPtr LLM_Apply_Template_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string messages_as_json); public IntPtr LLM_Apply_Template(IntPtr llm, string messages_as_json) => LLM_Apply_Template_Static(llm, messages_as_json); @@ -79,10 +75,6 @@ public LlamaLib(bool gpu = false) public IntPtr LLM_Completion(IntPtr llm, string query, CharArrayCallback callback, int id_slot = -1, bool return_response_json = false) => LlamaLib.LLM_Completion_Static(llm, query, callback, id_slot, return_response_json); // LLMLocal functions - [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Set_Template")] - public static extern void LLM_Set_Template_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string template); - public void LLM_Set_Template(IntPtr llm, string template) => LLM_Set_Template_Static(llm, template); - [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Save_Slot")] public static extern IntPtr LLM_Save_Slot_Static(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); public IntPtr LLM_Save_Slot(IntPtr llm, int id_slot, string filepath) => LlamaLib.LLM_Save_Slot_Static(llm, id_slot, filepath); @@ -457,8 +449,6 @@ private void LoadFunctionPointers() LLM_Debug = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Debug"); LLM_Logging_Callback = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Logging_Callback"); LLM_Logging_Stop = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Logging_Stop"); - LLM_Get_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Get_Template"); - LLM_Set_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_Template"); LLM_Enable_Reasoning = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Enable_Reasoning"); LLM_Apply_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Apply_Template"); LLM_Tokenize = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Tokenize"); @@ -531,12 +521,6 @@ private void LoadFunctionPointers() public delegate void LLM_Logging_Stop_Delegate(); // Main lib - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Get_Template_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Set_Template_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string template); - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate void LLM_Enable_Reasoning_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.I1)] bool enable_reasoning); @@ -727,8 +711,6 @@ public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, public LLM_Debug_Delegate LLM_Debug; public LLM_Logging_Callback_Delegate LLM_Logging_Callback; public LLM_Logging_Stop_Delegate LLM_Logging_Stop; - public LLM_Get_Template_Delegate LLM_Get_Template; - public LLM_Set_Template_Delegate LLM_Set_Template; public LLM_Enable_Reasoning_Delegate LLM_Enable_Reasoning; public LLM_Apply_Template_Delegate LLM_Apply_Template; public LLM_Tokenize_Delegate LLM_Tokenize; From f11d0bae17062cfce82dfd3811dfa10d116e1a9b Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 2 Dec 2025 13:14:21 +0200 Subject: [PATCH 33/69] Option to debug the LLM prompts --- Runtime/LLMAgent.cs | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 73c613b0..fad745c3 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -28,6 +28,10 @@ public class LLMAgent : LLMClient [Tooltip("Save LLM processing cache for faster reload (~100MB per agent)")] [LLM] public bool saveCache = false; + /// Save LLM processing cache for faster reload (~100MB per agent) + [Tooltip("Debug LLM prompts")] + [LLM] public bool debugPrompt = false; + /// Server slot to use for processing (affects caching behavior) [Tooltip("Server slot to use for processing (affects caching behavior)")] [ModelAdvanced, SerializeField] protected int _slot = -1; @@ -292,6 +296,14 @@ public virtual async Task AddAssistantMessage(string content) #endregion #region Chat Functionality + /// \cond HIDE + [Serializable] + public class CompletionResponseJson + { + public string prompt; + public string content; + } + /// \endcond /// /// Processes a user query asynchronously and generates an AI response using conversation context. /// The query and response are automatically added to chat history if specified. @@ -309,7 +321,13 @@ public virtual async Task Chat(string query, LlamaLib.CharArrayCallback // Wrap callback to ensure it runs on the main thread LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback, this); SetCompletionParameters(); - string result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback); + string result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback, returnResponseJson: debugPrompt); + if (debugPrompt) + { + CompletionResponseJson responseJson = JsonUtility.FromJson(result); + LLMUnitySetup.Log(responseJson.prompt); + result = responseJson.content; + } if (addToHistory && result != null && save != "") _ = Save(save); completionCallback?.Invoke(); From 2cf2e41397ebad4042a9adf18576970e926a13aa Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 2 Dec 2025 13:14:37 +0200 Subject: [PATCH 34/69] show grammar with box --- Editor/LLMClientEditor.cs | 2 +- Runtime/LLMClient.cs | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/Editor/LLMClientEditor.cs b/Editor/LLMClientEditor.cs index 50b7cac2..1e5cad3a 100644 --- a/Editor/LLMClientEditor.cs +++ b/Editor/LLMClientEditor.cs @@ -27,7 +27,7 @@ public override void AddModelSettings(SerializedObject llmScriptSO) { EditorApplication.delayCall += () => { - string path = EditorUtility.OpenFilePanelWithFilters("Select a gbnf grammar file", "", new string[] { "Grammar Files", "json,gbnf" }); + string path = EditorUtility.OpenFilePanelWithFilters("Select a grammar file", "", new string[] { "Grammar Files", "json,gbnf" }); if (!string.IsNullOrEmpty(path)) { ((LLMAgent)target).LoadGrammar(path); diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 24ebabf0..36e371e6 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -50,7 +50,7 @@ public class LLMClient : MonoBehaviour /// Grammar constraints for output formatting (GBNF or JSON schema format) [Tooltip("Grammar constraints for output formatting (GBNF or JSON schema format)")] - [ModelAdvanced, SerializeField] protected string _grammar = ""; + [ModelAdvanced, TextArea(1, 10), SerializeField] protected string _grammar = ""; // Completion Parameters /// Maximum tokens to generate (-1 = unlimited) From 556e63e096110664927065fe8823e23f0bf7748c Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 2 Dec 2025 13:16:05 +0200 Subject: [PATCH 35/69] comment typo --- Runtime/LLMAgent.cs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index fad745c3..303e58f3 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -28,7 +28,7 @@ public class LLMAgent : LLMClient [Tooltip("Save LLM processing cache for faster reload (~100MB per agent)")] [LLM] public bool saveCache = false; - /// Save LLM processing cache for faster reload (~100MB per agent) + /// Debug LLM prompts [Tooltip("Debug LLM prompts")] [LLM] public bool debugPrompt = false; From 9250efd487aaab9381888c780a143d3c3b23b731 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 2 Dec 2025 14:39:34 +0200 Subject: [PATCH 36/69] remove save cache functionality --- Runtime/LLMAgent.cs | 128 ++++++++-------------------------------- Runtime/LLMCharacter.cs | 2 +- 2 files changed, 24 insertions(+), 106 deletions(-) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 303e58f3..b46a08ca 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -24,10 +24,6 @@ public class LLMAgent : LLMClient [Tooltip("Filename for saving chat history (saved in Application.persistentDataPath)")] [LLM] public string save = ""; - /// Save LLM processing cache for faster reload (~100MB per agent) - [Tooltip("Save LLM processing cache for faster reload (~100MB per agent)")] - [LLM] public bool saveCache = false; - /// Debug LLM prompts [Tooltip("Debug LLM prompts")] [LLM] public bool debugPrompt = false; @@ -188,27 +184,10 @@ protected override LLMLocal GetCaller() /// protected virtual async Task InitHistory() { - await ClearChat(); - await LoadHistory(); - } - - /// - /// Loads conversation history from the saved file if it exists. - /// - protected virtual async Task LoadHistory() - { - if (string.IsNullOrEmpty(save) || !File.Exists(GetJsonSavePath(save))) - { - return; - } - - try + await ClearHistory(); + if (!string.IsNullOrEmpty(save) && File.Exists(GetSavePath())) { - await Load(save); - } - catch (System.Exception ex) - { - LLMUnitySetup.LogError($"Failed to load chat history from '{save}': {ex.Message}"); + await LoadHistory(); } } @@ -218,36 +197,16 @@ protected virtual async Task LoadHistory() /// /// Gets the full path for a file in the persistent data directory. /// - /// Filename or relative path /// Full file path in persistent data directory - protected virtual string GetSavePath(string filename) + public virtual string GetSavePath() { - if (string.IsNullOrEmpty(filename)) + if (string.IsNullOrEmpty(save)) { - throw new System.ArgumentNullException(nameof(filename)); + LLMUnitySetup.LogError("No save path specified"); + return null; } - return Path.Combine(Application.persistentDataPath, filename).Replace('\\', '/'); - } - - /// - /// Gets the save path for chat history JSON file. - /// - /// Base filename (without extension) - /// Full path to JSON file - public virtual string GetJsonSavePath(string filename) - { - return GetSavePath(filename + ".json"); - } - - /// - /// Gets the save path for LLM cache file. - /// - /// Base filename (without extension) - /// Full path to cache file - public virtual string GetCacheSavePath(string filename) - { - return GetSavePath(filename + ".cache"); + return Path.Combine(Application.persistentDataPath, save).Replace('\\', '/'); } #endregion @@ -256,7 +215,7 @@ public virtual string GetCacheSavePath(string filename) /// /// Clears the entire conversation history. /// - public virtual async Task ClearChat() + public virtual async Task ClearHistory() { await CheckLLMClient(checkConnection: false); llmAgent.ClearHistory(); @@ -329,7 +288,7 @@ public virtual async Task Chat(string query, LlamaLib.CharArrayCallback result = responseJson.content; } - if (addToHistory && result != null && save != "") _ = Save(save); + if (addToHistory && result != null && save != "") _ = SaveHistory(); completionCallback?.Invoke(); return result; } @@ -375,18 +334,17 @@ public virtual async Task Warmup(string query, EmptyCallback completionCallback /// /// Saves the conversation history and optionally the LLM cache to disk. /// - /// Base filename (without extension) for saving - /// Result message from cache save operation, or null if cache not saved - public virtual async Task Save(string filename) + public virtual async Task SaveHistory() { - if (string.IsNullOrEmpty(filename)) + if (string.IsNullOrEmpty(save)) { - throw new System.ArgumentNullException(nameof(filename)); + LLMUnitySetup.LogError("No save path specified"); + return; } await CheckLLMClient(); // Save chat history - string jsonPath = GetJsonSavePath(filename); + string jsonPath = GetSavePath(); string directory = Path.GetDirectoryName(jsonPath); if (!Directory.Exists(directory)) @@ -399,48 +357,29 @@ public virtual async Task Save(string filename) llmAgent.SaveHistory(jsonPath); LLMUnitySetup.Log($"Saved chat history to: {jsonPath}"); } - catch (System.Exception ex) + catch (Exception ex) { LLMUnitySetup.LogError($"Failed to save chat history to '{jsonPath}': {ex.Message}", true); } - - // Save cache if enabled and not remote - if (!remote && saveCache) - { - try - { - string cachePath = GetCacheSavePath(filename); - string result = llmAgent.SaveSlot(cachePath); - LLMUnitySetup.Log($"Saved LLM cache to: {cachePath}"); - return result; - } - catch (System.Exception ex) - { - LLMUnitySetup.LogWarning($"Failed to save LLM cache: {ex.Message}"); - } - } - - return null; } /// /// Loads conversation history and optionally the LLM cache from disk. /// - /// Base filename (without extension) to load from - /// Result message from cache load operation, or null if cache not loaded - public virtual async Task Load(string filename) + public virtual async Task LoadHistory() { - if (string.IsNullOrEmpty(filename)) + if (string.IsNullOrEmpty(save)) { - throw new System.ArgumentNullException(nameof(filename)); + LLMUnitySetup.LogError("No save path specified"); + return; } await CheckLLMClient(); // Load chat history - string jsonPath = GetJsonSavePath(filename); + string jsonPath = GetSavePath(); if (!File.Exists(jsonPath)) { - throw new FileNotFoundException($"Chat history file not found: {jsonPath}"); + LLMUnitySetup.LogError($"Chat history file not found: {jsonPath}"); } try @@ -448,31 +387,10 @@ public virtual async Task Load(string filename) llmAgent.LoadHistory(jsonPath); LLMUnitySetup.Log($"Loaded chat history from: {jsonPath}"); } - catch (System.Exception ex) + catch (Exception ex) { LLMUnitySetup.LogError($"Failed to load chat history from '{jsonPath}': {ex.Message}", true); } - - // Load cache if enabled and not remote - if (!remote && saveCache) - { - string cachePath = GetCacheSavePath(filename); - if (File.Exists(cachePath)) - { - try - { - string result = llmAgent.LoadSlot(cachePath); - LLMUnitySetup.Log($"Loaded LLM cache from: {cachePath}"); - return result; - } - catch (System.Exception ex) - { - LLMUnitySetup.LogWarning($"Failed to load LLM cache from '{cachePath}': {ex.Message}"); - } - } - } - - return null; } #endregion diff --git a/Runtime/LLMCharacter.cs b/Runtime/LLMCharacter.cs index f810e76f..2025e952 100644 --- a/Runtime/LLMCharacter.cs +++ b/Runtime/LLMCharacter.cs @@ -28,7 +28,7 @@ public LLMCharacter() public void SetPrompt(string newPrompt, bool clearChat = true) { systemPrompt = newPrompt; - if (clearChat) _ = ClearChat(); + if (clearChat) _ = ClearHistory(); } } } From 7726186a1e240452e7186e0ea28509aad7505aca Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 2 Dec 2025 14:39:52 +0200 Subject: [PATCH 37/69] adapt tests to recent changes --- Tests/Runtime/TestLLM.cs | 58 +++++++++++++++++----------------------- 1 file changed, 24 insertions(+), 34 deletions(-) diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index ac40cf36..44f8cdb5 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -161,8 +161,8 @@ public virtual void SetParameters() prompt = "You are a scientific assistant and provide short and concise info on the user questions"; prompt2 = "You are a funny assistant and answer the user questions with smartass comments"; query = "Can you tell me some fun fact about ants in one sentence?"; - reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have human-like intelligence."; - reply2 = "Sure! \"Ants are so sneaky, they can even build nests that look like giant spiders!\""; + reply1 = "Sure! Ants are known for their incredible teamwork, often working together to build complex structures like nests."; + reply2 = "Of course! Ants are so smart and hardworking that they can build intricate nests with just a few workers."; tokens1 = 20; tokens2 = 9; } @@ -296,13 +296,13 @@ public virtual async Task Tests() llmAgent.systemPrompt = prompt2; reply = await llmAgent.Chat(query, TestStreamingChat); TestChat(reply, reply2); - TestPostChat(2); - - await llmAgent.Chat("bye!"); TestPostChat(4); - List embeddings = await llmAgent.Embeddings("hi how are you?"); - TestEmbeddings(embeddings); + await llmAgent.ClearHistory(); + TestPostChat(0); + + await llmAgent.Chat("bye!"); + TestPostChat(2); } public virtual void TestArchitecture() @@ -336,11 +336,6 @@ public void TestPostChat(int num) Assert.That(llmAgent.chat.Count == num); } - public void TestEmbeddings(List embeddings) - { - Assert.That(embeddings.Count == 1024); - } - public virtual void OnDestroy() { if (Monitor.IsEntered(_lock)) @@ -422,8 +417,8 @@ public override LLM CreateLLM() public override void SetParameters() { base.SetParameters(); - reply1 = "Ants are known for their ability to build complex structures, though it's not always obvious."; - reply2 = "Sure! \"Ants are so sneaky, they can even steal your lunch!\""; + reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't speak."; + reply2 = "Of course! Ants are so sneaky and efficient that they can build a house in just a few days without any help from humans."; tokens1 = 5; tokens2 = 9; loraWeight = 0.9f; @@ -484,6 +479,12 @@ public override LLMAgent CreateLLMAgent() llmAgent.remote = true; return llmAgent; } + + public override void SetParameters() + { + base.SetParameters(); + reply2 = "Of course! Ants are so smart—they can remember the location of food sources and even solve problems without words."; + } } public class TestLLM_Double : TestLLM @@ -507,15 +508,14 @@ public override async Task Init() public class TestLLMAgent_Save : TestLLM { - string saveName = "TestLLMAgent_Save"; + string saveName = "TestLLMAgent_Save.json"; public override LLMAgent CreateLLMAgent() { LLMAgent llmAgent = base.CreateLLMAgent(); llmAgent.save = saveName; - llmAgent.saveCache = true; - foreach (string filename in new string[] {llmAgent.GetJsonSavePath(saveName), llmAgent.GetCacheSavePath(saveName)}) - if (File.Exists(filename)) File.Delete(filename); + string savePath = llmAgent.GetSavePath(); + if (File.Exists(savePath)) File.Delete(savePath); return llmAgent; } @@ -527,18 +527,15 @@ public override async Task Tests() public void TestSave() { - string jsonPath = llmAgent.GetJsonSavePath(saveName); - string cachePath = llmAgent.GetCacheSavePath(saveName); - Assert.That(File.Exists(jsonPath)); - Assert.That(File.Exists(cachePath)); - string json = File.ReadAllText(jsonPath); - File.Delete(jsonPath); - File.Delete(cachePath); + string savePath = llmAgent.GetSavePath(); + Assert.That(File.Exists(savePath)); + string json = File.ReadAllText(savePath); + File.Delete(savePath); List chatHistory = JsonUtility.FromJson("{ \"chat\": " + json + " }").chat; - Assert.AreEqual(chatHistory.Count, 4); + Assert.AreEqual(chatHistory.Count, 2); Assert.AreEqual(chatHistory[0].role, llmAgent.userRole); - Assert.AreEqual(chatHistory[0].content, query); + Assert.AreEqual(chatHistory[0].content, "bye!"); Assert.AreEqual(chatHistory[1].role, llmAgent.assistantRole); Assert.AreEqual(llmAgent.chat.Count, chatHistory.Count); @@ -559,13 +556,6 @@ public override LLM CreateLLM() return llm; } - public override void SetParameters() - { - base.SetParameters(); - reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have a brain."; - reply2 = "Sure! \"Ants are so sneaky, they can even build nests that look like giant spiders!\""; - } - public override void TestArchitecture() { Debug.Log(llm.architecture); From ed276ca71c2f6388dd434dbb25d8855c2461055e Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 2 Dec 2025 15:30:14 +0200 Subject: [PATCH 38/69] update Samples to v3 --- Samples~/ChatBot/ChatBot.cs | 4 +- Samples~/ChatBot/Scene.unity | 82 +++---- Samples~/FunctionCalling/FunctionCalling.cs | 2 +- Samples~/FunctionCalling/Scene.unity | 93 ++++---- .../KnowledgeBaseGame/KnowledgeBaseGame.cs | 14 +- Samples~/KnowledgeBaseGame/Scene.unity | 208 ++++++++---------- Samples~/MobileDemo/MobileDemo.cs | 2 +- Samples~/MobileDemo/Scene.unity | 92 ++++---- .../MultipleCharacters/MultipleCharacters.cs | 2 +- Samples~/MultipleCharacters/Scene.unity | 126 +++++------ Samples~/RAG/RAGAndLLM_Sample.cs | 7 +- Samples~/RAG/RAGAndLLM_Scene.unity | 200 ++++++++--------- Samples~/RAG/RAG_Sample.cs | 4 +- Samples~/SimpleInteraction/Scene.unity | 82 +++---- .../SimpleInteraction/SimpleInteraction.cs | 2 +- 15 files changed, 393 insertions(+), 527 deletions(-) diff --git a/Samples~/ChatBot/ChatBot.cs b/Samples~/ChatBot/ChatBot.cs index 4897018f..4b2b019a 100644 --- a/Samples~/ChatBot/ChatBot.cs +++ b/Samples~/ChatBot/ChatBot.cs @@ -68,7 +68,7 @@ Bubble AddBubble(string message, bool isPlayerMessage) void ShowLoadedMessages() { - for (int i = 1; i < llmAgent.chat.Count; i++) AddBubble(llmAgent.chat[i].Content, i % 2 == 1); + for (int i = 1; i < llmAgent.chat.Count; i++) AddBubble(llmAgent.chat[i].content, i % 2 == 1); } void onInputFieldSubmit(string newText) @@ -85,7 +85,7 @@ void onInputFieldSubmit(string newText) AddBubble(message, true); Bubble aiBubble = AddBubble("...", false); - Task chatTask = llmAgent.ChatAsync(message, aiBubble.SetText, AllowInput); + Task chatTask = llmAgent.Chat(message, aiBubble.SetText, AllowInput); inputBubble.SetText(""); } diff --git a/Samples~/ChatBot/Scene.unity b/Samples~/ChatBot/Scene.unity index b3ccfb22..c7e6122e 100644 --- a/Samples~/ChatBot/Scene.unity +++ b/Samples~/ChatBot/Scene.unity @@ -178,7 +178,7 @@ MonoBehaviour: font: {fileID: 10102, guid: 0000000000000000e000000000000000, type: 0} fontSize: 16 bubbleWidth: 600 - llmCharacter: {fileID: 1844795171} + llmAgent: {fileID: 1844795172} textPadding: 10 bubbleSpacing: 10 sprite: {fileID: 10907, guid: 0000000000000000f000000000000000, type: 0} @@ -658,26 +658,22 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - port: 13333 - numThreads: -1 - numGPULayers: 0 - debug: 0 - parallelPrompts: -1 + _remote: 0 + _port: 13333 + _APIKey: + _SSLCert: + _SSLKey: + _numThreads: -1 + _numGPULayers: 0 + _parallelPrompts: -1 + _contextSize: 8192 + _batchSize: 512 + _model: + _flashAttention: 0 + _reasoning: 0 + _lora: + _loraWeights: dontDestroyOnLoad: 1 - contextSize: 8192 - batchSize: 512 - basePrompt: - model: - chatTemplate: chatml - lora: - loraWeights: - flashAttention: 0 - APIKey: - SSLCert: - SSLCertPath: - SSLKey: - SSLKeyPath: minContextLength: 0 maxContextLength: 0 --- !u!1 &1051131186 @@ -1100,9 +1096,9 @@ GameObject: serializedVersion: 6 m_Component: - component: {fileID: 1844795170} - - component: {fileID: 1844795171} + - component: {fileID: 1844795172} m_Layer: 0 - m_Name: LLMCharacter + m_Name: LLMAgent m_TagString: Untagged m_Icon: {fileID: 0} m_NavMeshLayer: 0 @@ -1123,7 +1119,7 @@ Transform: m_Children: [] m_Father: {fileID: 0} m_LocalEulerAnglesHint: {x: 0, y: 0, z: 0} ---- !u!114 &1844795171 +--- !u!114 &1844795172 MonoBehaviour: m_ObjectHideFlags: 0 m_CorrespondingSourceObject: {fileID: 0} @@ -1132,25 +1128,20 @@ MonoBehaviour: m_GameObject: {fileID: 1844795168} m_Enabled: 1 m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 3f6c87a428fd5d0be9bbc686bdc8c3c2, type: 3} + m_Script: {fileID: 11500000, guid: b4326d5ae3b03ff55847035351559f4e, type: 3} m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - llm: {fileID: 817827756} - host: localhost - port: 13333 - numRetries: 10 - APIKey: - save: - saveCache: 0 - debugPrompt: 0 - stream: 1 - grammar: + _remote: 0 + _llm: {fileID: 817827756} + _APIKey: + _host: localhost + _port: 13333 + numRetries: 5 + _grammar: + numPredict: -1 cachePrompt: 1 - slot: -1 seed: 0 - numPredict: -1 temperature: 0.2 topK: 40 topP: 0.9 @@ -1158,25 +1149,20 @@ MonoBehaviour: repeatPenalty: 1.1 presencePenalty: 0 frequencyPenalty: 0 - tfsZ: 1 typicalP: 1 repeatLastN: 64 - penalizeNl: 1 - penaltyPrompt: mirostat: 0 mirostatTau: 5 mirostatEta: 0.1 nProbs: 0 ignoreEos: 0 - nKeep: -1 - stop: [] - playerName: user - AIName: assistant - prompt: A chat between a curious human and an artificial intelligence assistant. + save: + debugPrompt: 0 + _slot: -1 + _userRole: user + _assistantRole: assistant + _systemPrompt: A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. - setNKeepToPrompt: 1 - chat: [] - grammarString: --- !u!1 &2011827136 GameObject: m_ObjectHideFlags: 0 diff --git a/Samples~/FunctionCalling/FunctionCalling.cs b/Samples~/FunctionCalling/FunctionCalling.cs index 4978eba4..c4cb6d5a 100644 --- a/Samples~/FunctionCalling/FunctionCalling.cs +++ b/Samples~/FunctionCalling/FunctionCalling.cs @@ -72,7 +72,7 @@ string CallFunction(string functionName) async void onInputFieldSubmit(string message) { playerText.interactable = false; - string functionName = await llmAgent.ChatAsync(ConstructPrompt(message)); + string functionName = await llmAgent.Chat(ConstructPrompt(message)); string result = CallFunction(functionName); AIText.text = $"Calling {functionName}\n{result}"; playerText.interactable = true; diff --git a/Samples~/FunctionCalling/Scene.unity b/Samples~/FunctionCalling/Scene.unity index dc6a2508..06789d84 100644 --- a/Samples~/FunctionCalling/Scene.unity +++ b/Samples~/FunctionCalling/Scene.unity @@ -13,7 +13,7 @@ OcclusionCullingSettings: --- !u!104 &2 RenderSettings: m_ObjectHideFlags: 0 - serializedVersion: 10 + serializedVersion: 9 m_Fog: 0 m_FogColor: {r: 0.5, g: 0.5, b: 0.5, a: 1} m_FogMode: 3 @@ -38,12 +38,13 @@ RenderSettings: m_ReflectionIntensity: 1 m_CustomReflection: {fileID: 0} m_Sun: {fileID: 0} + m_IndirectSpecularColor: {r: 0.44657832, g: 0.49641222, b: 0.57481664, a: 1} m_UseRadianceAmbientProbe: 0 --- !u!157 &3 LightmapSettings: m_ObjectHideFlags: 0 - serializedVersion: 13 - m_BakeOnSceneLoad: 0 + serializedVersion: 12 + m_GIWorkflowMode: 1 m_GISettings: serializedVersion: 2 m_BounceScale: 1 @@ -66,6 +67,9 @@ LightmapSettings: m_LightmapParameters: {fileID: 0} m_LightmapsBakeMode: 1 m_TextureCompression: 1 + m_FinalGather: 0 + m_FinalGatherFiltering: 1 + m_FinalGatherRayCount: 256 m_ReflectionCompression: 2 m_MixedBakeMode: 2 m_BakeBackend: 1 @@ -163,7 +167,7 @@ MonoBehaviour: m_Script: {fileID: 11500000, guid: 162e77d443c2df77b8297c1dcdfbfdce, type: 3} m_Name: m_EditorClassIdentifier: - llmCharacter: {fileID: 498662973} + llmAgent: {fileID: 498662973} playerText: {fileID: 1966107897} AIText: {fileID: 887085510} --- !u!1 &158550913 @@ -441,7 +445,7 @@ GameObject: - component: {fileID: 498662972} - component: {fileID: 498662973} m_Layer: 0 - m_Name: LLMCharacter + m_Name: LLMAgent m_TagString: Untagged m_Icon: {fileID: 0} m_NavMeshLayer: 0 @@ -471,22 +475,18 @@ MonoBehaviour: m_GameObject: {fileID: 498662970} m_Enabled: 1 m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 3f6c87a428fd5d0be9bbc686bdc8c3c2, type: 3} + m_Script: {fileID: 11500000, guid: b4326d5ae3b03ff55847035351559f4e, type: 3} m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 + _remote: 0 _llm: {fileID: 1047848254} - APIKey: - host: localhost - port: 13333 - numRetries: 10 - save: - saveCache: 0 - debugPrompt: 0 + _APIKey: + _host: localhost + _port: 13333 + numRetries: 5 + _grammar: numPredict: -1 - slot: -1 - grammar: cachePrompt: 1 seed: 0 temperature: 0.2 @@ -496,25 +496,20 @@ MonoBehaviour: repeatPenalty: 1.1 presencePenalty: 0 frequencyPenalty: 0 - tfsZ: 1 typicalP: 1 repeatLastN: 64 - penalizeNl: 1 - penaltyPrompt: mirostat: 0 mirostatTau: 5 mirostatEta: 0.1 nProbs: 0 ignoreEos: 0 - nKeep: -1 - stop: [] - stream: 1 - playerName: user - AIName: assistant - prompt: You are an AI assistant and your task is to answer multiple choice question - setNKeepToPrompt: 1 - chat: [] - grammarString: + save: + debugPrompt: 0 + _slot: -1 + _userRole: user + _assistantRole: assistant + _systemPrompt: You are an AI assistant and your task is to answer multiple choice + questions --- !u!1 &724531319 GameObject: m_ObjectHideFlags: 0 @@ -936,8 +931,9 @@ Light: m_PrefabAsset: {fileID: 0} m_GameObject: {fileID: 909474451} m_Enabled: 1 - serializedVersion: 11 + serializedVersion: 10 m_Type: 1 + m_Shape: 0 m_Color: {r: 1, g: 0.95686275, b: 0.8392157, a: 1} m_Intensity: 1 m_Range: 10 @@ -987,12 +983,8 @@ Light: m_BoundingSphereOverride: {x: 0, y: 0, z: 0, w: 0} m_UseBoundingSphereOverride: 0 m_UseViewFrustumForShadowCasterCull: 1 - m_ForceVisible: 0 m_ShadowRadius: 0 m_ShadowAngle: 0 - m_LightUnit: 1 - m_LuxAtDistance: 1 - m_EnableSpotReflector: 1 --- !u!4 &909474453 Transform: m_ObjectHideFlags: 0 @@ -1038,29 +1030,24 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - port: 13333 - numThreads: -1 - numGPULayers: 0 - debug: 0 - parallelPrompts: -1 + _remote: 0 + _port: 13333 + _APIKey: + _SSLCert: + _SSLKey: + _numThreads: -1 + _numGPULayers: 0 + _parallelPrompts: -1 + _contextSize: 8192 + _batchSize: 512 + _model: + _flashAttention: 0 + _reasoning: 0 + _lora: + _loraWeights: dontDestroyOnLoad: 1 - contextSize: 8192 - batchSize: 512 - model: - chatTemplate: chatml - lora: - loraWeights: - flashAttention: 0 - APIKey: - SSLCert: - SSLCertPath: - SSLKey: - SSLKeyPath: minContextLength: 0 maxContextLength: 0 - embeddingsOnly: 0 - embeddingLength: 0 --- !u!4 &1047848255 Transform: m_ObjectHideFlags: 0 diff --git a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs index 5c971e83..211f1480 100644 --- a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs +++ b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs @@ -95,20 +95,20 @@ public async Task CreateEmbeddings() } } - public List Retrieval(string question) + public async Task> Retrieval(string question) { // find similar questions for the current bot using the RAG - (string[] similarQuestions, _) = rag.Search(question, numRAGResults, currentBotName); + (string[] similarQuestions, _) = await rag.Search(question, numRAGResults, currentBotName); // get the answers of the similar questions List similarAnswers = new List(); foreach (string similarQuestion in similarQuestions) similarAnswers.Add(botQuestionAnswers[currentBotName][similarQuestion]); return similarAnswers; } - public string ConstructPrompt(string question) + public async Task ConstructPrompt(string question) { // get similar answers from the RAG - List similarAnswers = Retrieval(question); + List similarAnswers = await Retrieval(question); // create the prompt using the user question and the similar answers string answers = ""; foreach (string similarAnswer in similarAnswers) answers += $"\n- {similarAnswer}"; @@ -118,12 +118,12 @@ public string ConstructPrompt(string question) return prompt; } - protected override void OnInputFieldSubmit(string question) + protected override async void OnInputFieldSubmit(string question) { PlayerText.interactable = false; SetAIText("..."); - string prompt = ConstructPrompt(question); - _ = llmAgent.ChatAsync(prompt, SetAIText, AIReplyComplete); + string prompt = await ConstructPrompt(question); + _ = llmAgent.Chat(prompt, SetAIText, AIReplyComplete); } protected override void DropdownChange(int selection) diff --git a/Samples~/KnowledgeBaseGame/Scene.unity b/Samples~/KnowledgeBaseGame/Scene.unity index 2fee60eb..7704e815 100644 --- a/Samples~/KnowledgeBaseGame/Scene.unity +++ b/Samples~/KnowledgeBaseGame/Scene.unity @@ -1047,7 +1047,7 @@ MonoBehaviour: Answer1: {fileID: 1290124570} Answer2: {fileID: 504847329} Answer3: {fileID: 1278063795} - llmCharacter: {fileID: 1275496423} + llmAgent: {fileID: 1275496425} rag: {fileID: 1400265393} numRAGResults: 3 --- !u!1 &495835622 @@ -2058,30 +2058,24 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - port: 13333 - numThreads: -1 - numGPULayers: 0 - debug: 0 - parallelPrompts: -1 + _remote: 0 + _port: 13333 + _APIKey: + _SSLCert: + _SSLKey: + _numThreads: -1 + _numGPULayers: 0 + _parallelPrompts: -1 + _contextSize: 8192 + _batchSize: 512 + _model: + _flashAttention: 0 + _reasoning: 0 + _lora: + _loraWeights: dontDestroyOnLoad: 1 - contextSize: 8192 - batchSize: 512 - basePrompt: - model: - chatTemplate: chatml - lora: - loraWeights: - flashAttention: 0 - APIKey: - SSLCert: - SSLCertPath: - SSLKey: - SSLKeyPath: minContextLength: 0 maxContextLength: 0 - embeddingsOnly: 0 - embeddingLength: 0 --- !u!4 &758599403 Transform: m_ObjectHideFlags: 0 @@ -4327,15 +4321,30 @@ GameObject: serializedVersion: 6 m_Component: - component: {fileID: 1275496424} - - component: {fileID: 1275496423} + - component: {fileID: 1275496425} m_Layer: 0 - m_Name: LLMCharacter + m_Name: LLMAgent m_TagString: Untagged m_Icon: {fileID: 0} m_NavMeshLayer: 0 m_StaticEditorFlags: 0 m_IsActive: 1 ---- !u!114 &1275496423 +--- !u!4 &1275496424 +Transform: + m_ObjectHideFlags: 0 + m_CorrespondingSourceObject: {fileID: 0} + m_PrefabInstance: {fileID: 0} + m_PrefabAsset: {fileID: 0} + m_GameObject: {fileID: 1275496422} + serializedVersion: 2 + m_LocalRotation: {x: 0, y: 0, z: 0, w: 1} + m_LocalPosition: {x: 887.5697, y: 599.9278, z: -4.22581} + m_LocalScale: {x: 1, y: 1, z: 1} + m_ConstrainProportionsScale: 0 + m_Children: [] + m_Father: {fileID: 0} + m_LocalEulerAnglesHint: {x: 0, y: 0, z: 0} +--- !u!114 &1275496425 MonoBehaviour: m_ObjectHideFlags: 0 m_CorrespondingSourceObject: {fileID: 0} @@ -4344,24 +4353,20 @@ MonoBehaviour: m_GameObject: {fileID: 1275496422} m_Enabled: 1 m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 3f6c87a428fd5d0be9bbc686bdc8c3c2, type: 3} + m_Script: {fileID: 11500000, guid: b4326d5ae3b03ff55847035351559f4e, type: 3} m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 + _remote: 0 _llm: {fileID: 2142407556} - APIKey: - host: localhost - port: 13333 - numRetries: 10 - save: - saveCache: 0 - debugPrompt: 0 - slot: -1 - grammar: + _APIKey: + _host: localhost + _port: 13333 + numRetries: 5 + _grammar: + numPredict: -1 cachePrompt: 1 seed: 0 - numPredict: -1 temperature: 0.2 topK: 40 topP: 0.9 @@ -4369,41 +4374,20 @@ MonoBehaviour: repeatPenalty: 1.1 presencePenalty: 0 frequencyPenalty: 0 - tfsZ: 1 typicalP: 1 repeatLastN: 64 - penalizeNl: 1 - penaltyPrompt: mirostat: 0 mirostatTau: 5 mirostatEta: 0.1 nProbs: 0 ignoreEos: 0 - nKeep: -1 - stop: [] - stream: 1 - playerName: user - AIName: assistant - prompt: A chat between a curious human and an artificial intelligence assistant. + save: + debugPrompt: 0 + _slot: -1 + _userRole: user + _assistantRole: assistant + _systemPrompt: A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. - setNKeepToPrompt: 1 - chat: [] - grammarString: ---- !u!4 &1275496424 -Transform: - m_ObjectHideFlags: 0 - m_CorrespondingSourceObject: {fileID: 0} - m_PrefabInstance: {fileID: 0} - m_PrefabAsset: {fileID: 0} - m_GameObject: {fileID: 1275496422} - serializedVersion: 2 - m_LocalRotation: {x: 0, y: 0, z: 0, w: 1} - m_LocalPosition: {x: 887.5697, y: 599.9278, z: -4.22581} - m_LocalScale: {x: 1, y: 1, z: 1} - m_ConstrainProportionsScale: 0 - m_Children: [] - m_Father: {fileID: 0} - m_LocalEulerAnglesHint: {x: 0, y: 0, z: 0} --- !u!1 &1278063793 GameObject: m_ObjectHideFlags: 0 @@ -5177,7 +5161,6 @@ GameObject: - component: {fileID: 1400265389} - component: {fileID: 1400265393} - component: {fileID: 1400265392} - - component: {fileID: 1400265395} - component: {fileID: 1400265394} m_Layer: 0 m_Name: RAG @@ -5214,12 +5197,30 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 + _remote: 0 _llm: {fileID: 758599402} - APIKey: - host: localhost - port: 13333 + _APIKey: + _host: localhost + _port: 13333 numRetries: 10 + _grammar: + numPredict: -1 + cachePrompt: 1 + seed: 0 + temperature: 0.2 + topK: 40 + topP: 0.9 + minP: 0.05 + repeatPenalty: 1.1 + presencePenalty: 0 + frequencyPenalty: 0 + typicalP: 1 + repeatLastN: 64 + mirostat: 0 + mirostatTau: 5 + mirostatEta: 0.1 + nProbs: 0 + ignoreEos: 0 --- !u!114 &1400265393 MonoBehaviour: m_ObjectHideFlags: 0 @@ -5232,12 +5233,10 @@ MonoBehaviour: m_Script: {fileID: 11500000, guid: a2496546d1575771597fc8cbdd0d852d, type: 3} m_Name: m_EditorClassIdentifier: - searchClass: 1 - search: {fileID: 1400265395} - chunkingClass: 3 - chunking: {fileID: 1400265394} - preSearchClass: 0 - preChunkingClass: 0 + searchType: 1 + search: {fileID: 1400265394} + chunkingType: 0 + chunking: {fileID: 0} --- !u!114 &1400265394 MonoBehaviour: m_ObjectHideFlags: 0 @@ -5247,31 +5246,10 @@ MonoBehaviour: m_GameObject: {fileID: 1400265384} m_Enabled: 1 m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 354c2418b0d6913efbfb73dccd540d23, type: 3} - m_Name: - m_EditorClassIdentifier: - search: {fileID: 1400265395} - returnChunks: 0 - delimiters: 2e0021003a003b003f000a000d00 ---- !u!114 &1400265395 -MonoBehaviour: - m_ObjectHideFlags: 0 - m_CorrespondingSourceObject: {fileID: 0} - m_PrefabInstance: {fileID: 0} - m_PrefabAsset: {fileID: 0} - m_GameObject: {fileID: 1400265384} - m_Enabled: 1 - m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: f8c6492f8c97ab9a09b0eb0f93a158da, type: 3} + m_Script: {fileID: 11500000, guid: 5102d32385d84d87f98c64d376cbcc90, type: 3} m_Name: m_EditorClassIdentifier: llmEmbedder: {fileID: 1400265392} - advancedOptions: 0 - quantization: 3 - metricKind: 1 - connectivity: 32 - expansionAdd: 40 - expansionSearch: 16 --- !u!1 &1468962044 GameObject: m_ObjectHideFlags: 0 @@ -7579,30 +7557,24 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - port: 13333 - numThreads: -1 - numGPULayers: 0 - debug: 0 - parallelPrompts: -1 + _remote: 0 + _port: 13333 + _APIKey: + _SSLCert: + _SSLKey: + _numThreads: -1 + _numGPULayers: 0 + _parallelPrompts: -1 + _contextSize: 8192 + _batchSize: 512 + _model: + _flashAttention: 0 + _reasoning: 0 + _lora: + _loraWeights: dontDestroyOnLoad: 1 - contextSize: 8192 - batchSize: 512 - basePrompt: - model: - chatTemplate: chatml - lora: - loraWeights: - flashAttention: 0 - APIKey: - SSLCert: - SSLCertPath: - SSLKey: - SSLKeyPath: minContextLength: 0 maxContextLength: 0 - embeddingsOnly: 0 - embeddingLength: 0 --- !u!4 &2142407557 Transform: m_ObjectHideFlags: 0 diff --git a/Samples~/MobileDemo/MobileDemo.cs b/Samples~/MobileDemo/MobileDemo.cs index ccf74529..93b85d57 100644 --- a/Samples~/MobileDemo/MobileDemo.cs +++ b/Samples~/MobileDemo/MobileDemo.cs @@ -60,7 +60,7 @@ void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - _ = llmAgent.ChatAsync(message, SetAIText, AIReplyComplete); + _ = llmAgent.Chat(message, SetAIText, AIReplyComplete); } public void SetAIText(string text) diff --git a/Samples~/MobileDemo/Scene.unity b/Samples~/MobileDemo/Scene.unity index cb3c6656..7a1087f9 100644 --- a/Samples~/MobileDemo/Scene.unity +++ b/Samples~/MobileDemo/Scene.unity @@ -13,7 +13,7 @@ OcclusionCullingSettings: --- !u!104 &2 RenderSettings: m_ObjectHideFlags: 0 - serializedVersion: 10 + serializedVersion: 9 m_Fog: 0 m_FogColor: {r: 0.5, g: 0.5, b: 0.5, a: 1} m_FogMode: 3 @@ -38,12 +38,13 @@ RenderSettings: m_ReflectionIntensity: 1 m_CustomReflection: {fileID: 0} m_Sun: {fileID: 0} + m_IndirectSpecularColor: {r: 0.44657832, g: 0.49641222, b: 0.57481664, a: 1} m_UseRadianceAmbientProbe: 0 --- !u!157 &3 LightmapSettings: m_ObjectHideFlags: 0 - serializedVersion: 13 - m_BakeOnSceneLoad: 0 + serializedVersion: 12 + m_GIWorkflowMode: 1 m_GISettings: serializedVersion: 2 m_BounceScale: 1 @@ -66,6 +67,9 @@ LightmapSettings: m_LightmapParameters: {fileID: 0} m_LightmapsBakeMode: 1 m_TextureCompression: 1 + m_FinalGather: 0 + m_FinalGatherFiltering: 1 + m_FinalGatherRayCount: 256 m_ReflectionCompression: 2 m_MixedBakeMode: 2 m_BakeBackend: 1 @@ -163,7 +167,7 @@ MonoBehaviour: m_Script: {fileID: 11500000, guid: 708542fec6999ea3ebd7c69404932bb3, type: 3} m_Name: m_EditorClassIdentifier: - llmCharacter: {fileID: 498662973} + llmAgent: {fileID: 498662973} ChatPanel: {fileID: 1084608230} playerText: {fileID: 1966107897} AIText: {fileID: 887085510} @@ -651,7 +655,7 @@ GameObject: - component: {fileID: 498662972} - component: {fileID: 498662973} m_Layer: 0 - m_Name: LLMCharacter + m_Name: LLMAgent m_TagString: Untagged m_Icon: {fileID: 0} m_NavMeshLayer: 0 @@ -681,22 +685,18 @@ MonoBehaviour: m_GameObject: {fileID: 498662970} m_Enabled: 1 m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 3f6c87a428fd5d0be9bbc686bdc8c3c2, type: 3} + m_Script: {fileID: 11500000, guid: b4326d5ae3b03ff55847035351559f4e, type: 3} m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 + _remote: 0 _llm: {fileID: 1047848254} - APIKey: - host: localhost - port: 13333 - numRetries: 10 - save: - saveCache: 0 - debugPrompt: 0 + _APIKey: + _host: localhost + _port: 13333 + numRetries: 5 + _grammar: numPredict: -1 - slot: -1 - grammar: cachePrompt: 1 seed: 0 temperature: 0.2 @@ -706,26 +706,20 @@ MonoBehaviour: repeatPenalty: 1.1 presencePenalty: 0 frequencyPenalty: 0 - tfsZ: 1 typicalP: 1 repeatLastN: 64 - penalizeNl: 1 - penaltyPrompt: mirostat: 0 mirostatTau: 5 mirostatEta: 0.1 nProbs: 0 ignoreEos: 0 - nKeep: -1 - stop: [] - stream: 1 - playerName: user - AIName: assistant - prompt: A chat between a curious human and an artificial intelligence assistant. + save: + debugPrompt: 0 + _slot: -1 + _userRole: user + _assistantRole: assistant + _systemPrompt: A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. - setNKeepToPrompt: 1 - chat: [] - grammarString: --- !u!1 &659217390 GameObject: m_ObjectHideFlags: 0 @@ -1222,8 +1216,9 @@ Light: m_PrefabAsset: {fileID: 0} m_GameObject: {fileID: 909474451} m_Enabled: 1 - serializedVersion: 11 + serializedVersion: 10 m_Type: 1 + m_Shape: 0 m_Color: {r: 1, g: 0.95686275, b: 0.8392157, a: 1} m_Intensity: 1 m_Range: 10 @@ -1273,12 +1268,8 @@ Light: m_BoundingSphereOverride: {x: 0, y: 0, z: 0, w: 0} m_UseBoundingSphereOverride: 0 m_UseViewFrustumForShadowCasterCull: 1 - m_ForceVisible: 0 m_ShadowRadius: 0 m_ShadowAngle: 0 - m_LightUnit: 1 - m_LuxAtDistance: 1 - m_EnableSpotReflector: 1 --- !u!4 &909474453 Transform: m_ObjectHideFlags: 0 @@ -1324,29 +1315,24 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - port: 13333 - numThreads: -1 - numGPULayers: 0 - debug: 0 - parallelPrompts: -1 + _remote: 0 + _port: 13333 + _APIKey: + _SSLCert: + _SSLKey: + _numThreads: -1 + _numGPULayers: 0 + _parallelPrompts: -1 + _contextSize: 8192 + _batchSize: 512 + _model: + _flashAttention: 0 + _reasoning: 0 + _lora: + _loraWeights: dontDestroyOnLoad: 1 - contextSize: 8192 - batchSize: 512 - model: - chatTemplate: chatml - lora: - loraWeights: - flashAttention: 0 - APIKey: - SSLCert: - SSLCertPath: - SSLKey: - SSLKeyPath: minContextLength: 0 maxContextLength: 0 - embeddingsOnly: 0 - embeddingLength: 0 --- !u!4 &1047848255 Transform: m_ObjectHideFlags: 0 diff --git a/Samples~/MultipleCharacters/MultipleCharacters.cs b/Samples~/MultipleCharacters/MultipleCharacters.cs index 39a426ad..2b66476f 100644 --- a/Samples~/MultipleCharacters/MultipleCharacters.cs +++ b/Samples~/MultipleCharacters/MultipleCharacters.cs @@ -28,7 +28,7 @@ public void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - _ = llmAgent.ChatAsync(message, SetAIText, AIReplyComplete); + _ = llmAgent.Chat(message, SetAIText, AIReplyComplete); } public void SetAIText(string text) diff --git a/Samples~/MultipleCharacters/Scene.unity b/Samples~/MultipleCharacters/Scene.unity index 3632c0cb..067eebc6 100644 --- a/Samples~/MultipleCharacters/Scene.unity +++ b/Samples~/MultipleCharacters/Scene.unity @@ -557,7 +557,7 @@ GameObject: - component: {fileID: 714802013} - component: {fileID: 714802014} m_Layer: 0 - m_Name: LLMCharacter2 + m_Name: LLMAgent2 m_TagString: Untagged m_Icon: {fileID: 0} m_NavMeshLayer: 0 @@ -587,25 +587,20 @@ MonoBehaviour: m_GameObject: {fileID: 714802011} m_Enabled: 1 m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 3f6c87a428fd5d0be9bbc686bdc8c3c2, type: 3} + m_Script: {fileID: 11500000, guid: b4326d5ae3b03ff55847035351559f4e, type: 3} m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - llm: {fileID: 1047848254} - host: localhost - port: 13333 - numRetries: 10 - APIKey: - save: - saveCache: 0 - debugPrompt: 0 - stream: 1 - grammar: + _remote: 0 + _llm: {fileID: 1047848254} + _APIKey: + _host: localhost + _port: 13333 + numRetries: 5 + _grammar: + numPredict: -1 cachePrompt: 1 - slot: -1 seed: 0 - numPredict: -1 temperature: 0.2 topK: 40 topP: 0.9 @@ -613,26 +608,21 @@ MonoBehaviour: repeatPenalty: 1.1 presencePenalty: 0 frequencyPenalty: 0 - tfsZ: 1 typicalP: 1 repeatLastN: 64 - penalizeNl: 1 - penaltyPrompt: mirostat: 0 mirostatTau: 5 mirostatEta: 0.1 nProbs: 0 ignoreEos: 0 - nKeep: -1 - stop: [] - playerName: Human - AIName: Adam - prompt: A chat between a curious human and an artificial intelligence assistant - named Adam. The assistant gives helpful, detailed, and polite answers to the - human's questions. - setNKeepToPrompt: 1 - chat: [] - grammarString: + save: + debugPrompt: 0 + _slot: -1 + _userRole: user + _assistantRole: assistant + _systemPrompt: A chat between a curious human and an artificial intelligence assistant + named Eve. The assistant gives helpful, detailed, and polite answers to the human's + questions. --- !u!1 &726528676 GameObject: m_ObjectHideFlags: 0 @@ -1517,26 +1507,22 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - port: 13333 - numThreads: -1 - numGPULayers: 0 - debug: 0 - parallelPrompts: -1 + _remote: 0 + _port: 13333 + _APIKey: + _SSLCert: + _SSLKey: + _numThreads: -1 + _numGPULayers: 0 + _parallelPrompts: -1 + _contextSize: 8192 + _batchSize: 512 + _model: + _flashAttention: 0 + _reasoning: 0 + _lora: + _loraWeights: dontDestroyOnLoad: 1 - contextSize: 8192 - batchSize: 512 - basePrompt: - model: - chatTemplate: chatml - lora: - loraWeights: - flashAttention: 0 - APIKey: - SSLCert: - SSLCertPath: - SSLKey: - SSLKeyPath: minContextLength: 0 maxContextLength: 0 --- !u!4 &1047848255 @@ -1935,7 +1921,7 @@ GameObject: - component: {fileID: 1493015759} - component: {fileID: 1493015760} m_Layer: 0 - m_Name: LLMCharacter1 + m_Name: LLMAgent1 m_TagString: Untagged m_Icon: {fileID: 0} m_NavMeshLayer: 0 @@ -1965,25 +1951,20 @@ MonoBehaviour: m_GameObject: {fileID: 1493015757} m_Enabled: 1 m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 3f6c87a428fd5d0be9bbc686bdc8c3c2, type: 3} + m_Script: {fileID: 11500000, guid: b4326d5ae3b03ff55847035351559f4e, type: 3} m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - llm: {fileID: 1047848254} - host: localhost - port: 13333 - numRetries: 10 - APIKey: - save: - saveCache: 0 - debugPrompt: 0 - stream: 1 - grammar: + _remote: 0 + _llm: {fileID: 1047848254} + _APIKey: + _host: localhost + _port: 13333 + numRetries: 5 + _grammar: + numPredict: -1 cachePrompt: 1 - slot: -1 seed: 0 - numPredict: -1 temperature: 0.2 topK: 40 topP: 0.9 @@ -1991,26 +1972,21 @@ MonoBehaviour: repeatPenalty: 1.1 presencePenalty: 0 frequencyPenalty: 0 - tfsZ: 1 typicalP: 1 repeatLastN: 64 - penalizeNl: 1 - penaltyPrompt: mirostat: 0 mirostatTau: 5 mirostatEta: 0.1 nProbs: 0 ignoreEos: 0 - nKeep: -1 - stop: [] - playerName: Human - AIName: Eve - prompt: A chat between a curious human and an artificial intelligence assistant - named Eve. The assistant gives helpful, detailed, and polite answers to the human's - questions. - setNKeepToPrompt: 1 - chat: [] - grammarString: + save: + debugPrompt: 0 + _slot: -1 + _userRole: user + _assistantRole: assistant + _systemPrompt: A chat between a curious human and an artificial intelligence assistant + named Adam. The assistant gives helpful, detailed, and polite answers to the + human's questions. --- !u!1 &1609985808 GameObject: m_ObjectHideFlags: 0 diff --git a/Samples~/RAG/RAGAndLLM_Sample.cs b/Samples~/RAG/RAGAndLLM_Sample.cs index 4265d3cf..ae341685 100644 --- a/Samples~/RAG/RAGAndLLM_Sample.cs +++ b/Samples~/RAG/RAGAndLLM_Sample.cs @@ -1,5 +1,6 @@ using UnityEngine.UI; using LLMUnity; +using System.Threading.Tasks; namespace LLMUnitySamples { @@ -8,11 +9,11 @@ public class RAGAndLLMSample : RAGSample public LLMAgent llmAgent; public Toggle ParaphraseWithLLM; - protected override void onInputFieldSubmit(string message) + protected override async void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - (string[] similarPhrases, float[] distances) = rag.Search(message, 1); + (string[] similarPhrases, float[] distances) = await rag.Search(message, 1); string similarPhrase = similarPhrases[0]; if (!ParaphraseWithLLM.isOn) { @@ -21,7 +22,7 @@ protected override void onInputFieldSubmit(string message) } else { - _ = llmAgent.ChatAsync("Paraphrase the following phrase: " + similarPhrase, SetAIText, AIReplyComplete); + _ = llmAgent.Chat("Paraphrase the following phrase: " + similarPhrase, SetAIText, AIReplyComplete); } } diff --git a/Samples~/RAG/RAGAndLLM_Scene.unity b/Samples~/RAG/RAGAndLLM_Scene.unity index 6bd5dd87..98a3d218 100644 --- a/Samples~/RAG/RAGAndLLM_Scene.unity +++ b/Samples~/RAG/RAGAndLLM_Scene.unity @@ -171,7 +171,7 @@ MonoBehaviour: playerText: {fileID: 1966107897} AIText: {fileID: 887085510} HamletText: {fileID: 4900000, guid: 145dfa55295462fa4bc804a75d8ba9c1, type: 3} - llmCharacter: {fileID: 498662973} + llmAgent: {fileID: 498662973} ParaphraseWithLLM: {fileID: 1151157495} --- !u!1 &158550913 GameObject: @@ -524,7 +524,7 @@ GameObject: - component: {fileID: 498662972} - component: {fileID: 498662973} m_Layer: 0 - m_Name: LLMCharacter + m_Name: LLMAgent m_TagString: Untagged m_Icon: {fileID: 0} m_NavMeshLayer: 0 @@ -554,24 +554,20 @@ MonoBehaviour: m_GameObject: {fileID: 498662970} m_Enabled: 1 m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 3f6c87a428fd5d0be9bbc686bdc8c3c2, type: 3} + m_Script: {fileID: 11500000, guid: b4326d5ae3b03ff55847035351559f4e, type: 3} m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 + _remote: 0 _llm: {fileID: 1047848254} - APIKey: - host: localhost - port: 13333 - numRetries: 10 - save: - saveCache: 0 - debugPrompt: 0 - slot: -1 - grammar: + _APIKey: + _host: localhost + _port: 13333 + numRetries: 5 + _grammar: + numPredict: -1 cachePrompt: 1 seed: 0 - numPredict: -1 temperature: 0.2 topK: 40 topP: 0.9 @@ -579,31 +575,25 @@ MonoBehaviour: repeatPenalty: 1.1 presencePenalty: 0 frequencyPenalty: 0 - tfsZ: 1 typicalP: 1 repeatLastN: 64 - penalizeNl: 1 - penaltyPrompt: mirostat: 0 mirostatTau: 5 mirostatEta: 0.1 nProbs: 0 ignoreEos: 0 - nKeep: -1 - stop: [] - stream: 1 - playerName: Text - AIName: Paraphrased text - prompt: 'You are an assistant that answers with phrases from Hamlet. + save: + debugPrompt: 0 + _slot: -1 + _userRole: user + _assistantRole: assistant + _systemPrompt: 'You are an assistant that answers with phrases from Hamlet. Your goal is to paraphrase the provided text without changing it too much. Answer directly with the paraphrased text.' - setNKeepToPrompt: 1 - chat: [] - grammarString: --- !u!1 &718309038 GameObject: m_ObjectHideFlags: 0 @@ -1279,30 +1269,24 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - port: 13333 - numThreads: -1 - numGPULayers: 0 - debug: 0 - parallelPrompts: -1 + _remote: 0 + _port: 13333 + _APIKey: + _SSLCert: + _SSLKey: + _numThreads: -1 + _numGPULayers: 0 + _parallelPrompts: -1 + _contextSize: 8192 + _batchSize: 512 + _model: + _flashAttention: 0 + _reasoning: 0 + _lora: + _loraWeights: dontDestroyOnLoad: 1 - contextSize: 8192 - batchSize: 512 - basePrompt: - model: - chatTemplate: chatml - lora: - loraWeights: - flashAttention: 0 - APIKey: - SSLCert: - SSLCertPath: - SSLKey: - SSLKeyPath: minContextLength: 0 maxContextLength: 0 - embeddingsOnly: 0 - embeddingLength: 0 --- !u!4 &1047848255 Transform: m_ObjectHideFlags: 0 @@ -1408,8 +1392,7 @@ GameObject: - component: {fileID: 1091532317} - component: {fileID: 1091532316} - component: {fileID: 1091532315} - - component: {fileID: 1091532314} - - component: {fileID: 1091532313} + - component: {fileID: 1091532318} m_Layer: 0 m_Name: RAG m_TagString: Untagged @@ -1417,40 +1400,6 @@ GameObject: m_NavMeshLayer: 0 m_StaticEditorFlags: 0 m_IsActive: 1 ---- !u!114 &1091532313 -MonoBehaviour: - m_ObjectHideFlags: 0 - m_CorrespondingSourceObject: {fileID: 0} - m_PrefabInstance: {fileID: 0} - m_PrefabAsset: {fileID: 0} - m_GameObject: {fileID: 1091532312} - m_Enabled: 1 - m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 354c2418b0d6913efbfb73dccd540d23, type: 3} - m_Name: - m_EditorClassIdentifier: - search: {fileID: 1091532314} - returnChunks: 0 - delimiters: 2e0021003a003b003f000a000d00 ---- !u!114 &1091532314 -MonoBehaviour: - m_ObjectHideFlags: 0 - m_CorrespondingSourceObject: {fileID: 0} - m_PrefabInstance: {fileID: 0} - m_PrefabAsset: {fileID: 0} - m_GameObject: {fileID: 1091532312} - m_Enabled: 1 - m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: f8c6492f8c97ab9a09b0eb0f93a158da, type: 3} - m_Name: - m_EditorClassIdentifier: - llmEmbedder: {fileID: 1091532315} - advancedOptions: 0 - quantization: 3 - metricKind: 1 - connectivity: 32 - expansionAdd: 40 - expansionSearch: 16 --- !u!114 &1091532315 MonoBehaviour: m_ObjectHideFlags: 0 @@ -1464,12 +1413,30 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 + _remote: 0 _llm: {fileID: 1612143203} - APIKey: - host: localhost - port: 13333 + _APIKey: + _host: localhost + _port: 13333 numRetries: 10 + _grammar: + numPredict: -1 + cachePrompt: 1 + seed: 0 + temperature: 0.2 + topK: 40 + topP: 0.9 + minP: 0.05 + repeatPenalty: 1.1 + presencePenalty: 0 + frequencyPenalty: 0 + typicalP: 1 + repeatLastN: 64 + mirostat: 0 + mirostatTau: 5 + mirostatEta: 0.1 + nProbs: 0 + ignoreEos: 0 --- !u!114 &1091532316 MonoBehaviour: m_ObjectHideFlags: 0 @@ -1482,12 +1449,10 @@ MonoBehaviour: m_Script: {fileID: 11500000, guid: a2496546d1575771597fc8cbdd0d852d, type: 3} m_Name: m_EditorClassIdentifier: - searchClass: 1 - search: {fileID: 1091532314} - chunkingClass: 3 - chunking: {fileID: 1091532313} - preSearchClass: 0 - preChunkingClass: 0 + searchType: 1 + search: {fileID: 1091532318} + chunkingType: 0 + chunking: {fileID: 0} --- !u!4 &1091532317 Transform: m_ObjectHideFlags: 0 @@ -1503,6 +1468,19 @@ Transform: m_Children: [] m_Father: {fileID: 0} m_LocalEulerAnglesHint: {x: 0, y: 0, z: 0} +--- !u!114 &1091532318 +MonoBehaviour: + m_ObjectHideFlags: 0 + m_CorrespondingSourceObject: {fileID: 0} + m_PrefabInstance: {fileID: 0} + m_PrefabAsset: {fileID: 0} + m_GameObject: {fileID: 1091532312} + m_Enabled: 1 + m_EditorHideFlags: 0 + m_Script: {fileID: 11500000, guid: 5102d32385d84d87f98c64d376cbcc90, type: 3} + m_Name: + m_EditorClassIdentifier: + llmEmbedder: {fileID: 1091532315} --- !u!1 &1151157494 GameObject: m_ObjectHideFlags: 0 @@ -1989,30 +1967,24 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - port: 13333 - numThreads: -1 - numGPULayers: 0 - debug: 0 - parallelPrompts: -1 + _remote: 0 + _port: 13333 + _APIKey: + _SSLCert: + _SSLKey: + _numThreads: -1 + _numGPULayers: 0 + _parallelPrompts: -1 + _contextSize: 8192 + _batchSize: 512 + _model: + _flashAttention: 0 + _reasoning: 0 + _lora: + _loraWeights: dontDestroyOnLoad: 1 - contextSize: 8192 - batchSize: 512 - basePrompt: - model: - chatTemplate: chatml - lora: - loraWeights: - flashAttention: 0 - APIKey: - SSLCert: - SSLCertPath: - SSLKey: - SSLKeyPath: minContextLength: 0 maxContextLength: 0 - embeddingsOnly: 0 - embeddingLength: 0 --- !u!4 &1612143204 Transform: m_ObjectHideFlags: 0 diff --git a/Samples~/RAG/RAG_Sample.cs b/Samples~/RAG/RAG_Sample.cs index 3b668e9d..013384db 100644 --- a/Samples~/RAG/RAG_Sample.cs +++ b/Samples~/RAG/RAG_Sample.cs @@ -56,11 +56,11 @@ public async Task CreateEmbeddings() } } - protected virtual void onInputFieldSubmit(string message) + protected virtual async void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - (string[] similarPhrases, float[] distances) = rag.Search(message, 1); + (string[] similarPhrases, float[] distances) = await rag.Search(message, 1); AIText.text = similarPhrases[0]; } diff --git a/Samples~/SimpleInteraction/Scene.unity b/Samples~/SimpleInteraction/Scene.unity index 4d50fc7c..54cc43f8 100644 --- a/Samples~/SimpleInteraction/Scene.unity +++ b/Samples~/SimpleInteraction/Scene.unity @@ -152,7 +152,7 @@ MonoBehaviour: m_Script: {fileID: 11500000, guid: a9898ca92690864a28e9d37d7ba07036, type: 3} m_Name: m_EditorClassIdentifier: - llmCharacter: {fileID: 498662973} + llmAgent: {fileID: 498662974} playerText: {fileID: 1966107897} AIText: {fileID: 887085510} --- !u!4 &107963746 @@ -443,9 +443,9 @@ GameObject: serializedVersion: 6 m_Component: - component: {fileID: 498662972} - - component: {fileID: 498662973} + - component: {fileID: 498662974} m_Layer: 0 - m_Name: LLMCharacter + m_Name: LLMAgent m_TagString: Untagged m_Icon: {fileID: 0} m_NavMeshLayer: 0 @@ -466,7 +466,7 @@ Transform: m_Children: [] m_Father: {fileID: 0} m_LocalEulerAnglesHint: {x: 0, y: 0, z: 0} ---- !u!114 &498662973 +--- !u!114 &498662974 MonoBehaviour: m_ObjectHideFlags: 0 m_CorrespondingSourceObject: {fileID: 0} @@ -475,25 +475,20 @@ MonoBehaviour: m_GameObject: {fileID: 498662970} m_Enabled: 1 m_EditorHideFlags: 0 - m_Script: {fileID: 11500000, guid: 3f6c87a428fd5d0be9bbc686bdc8c3c2, type: 3} + m_Script: {fileID: 11500000, guid: b4326d5ae3b03ff55847035351559f4e, type: 3} m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - llm: {fileID: 1047848254} - host: localhost - port: 13333 - numRetries: 10 - APIKey: - save: - saveCache: 0 - debugPrompt: 0 - stream: 1 - grammar: + _remote: 0 + _llm: {fileID: 1047848254} + _APIKey: + _host: localhost + _port: 13333 + numRetries: 5 + _grammar: + numPredict: -1 cachePrompt: 1 - slot: -1 seed: 0 - numPredict: -1 temperature: 0.2 topK: 40 topP: 0.9 @@ -501,25 +496,20 @@ MonoBehaviour: repeatPenalty: 1.1 presencePenalty: 0 frequencyPenalty: 0 - tfsZ: 1 typicalP: 1 repeatLastN: 64 - penalizeNl: 1 - penaltyPrompt: mirostat: 0 mirostatTau: 5 mirostatEta: 0.1 nProbs: 0 ignoreEos: 0 - nKeep: -1 - stop: [] - playerName: user - AIName: assistant - prompt: A chat between a curious human and an artificial intelligence assistant. + save: + debugPrompt: 0 + _slot: -1 + _userRole: user + _assistantRole: assistant + _systemPrompt: A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. - setNKeepToPrompt: 1 - chat: [] - grammarString: --- !u!1 &724531319 GameObject: m_ObjectHideFlags: 0 @@ -1040,26 +1030,22 @@ MonoBehaviour: m_Name: m_EditorClassIdentifier: advancedOptions: 0 - remote: 0 - port: 13333 - numThreads: -1 - numGPULayers: 0 - debug: 0 - parallelPrompts: -1 + _remote: 0 + _port: 13333 + _APIKey: + _SSLCert: + _SSLKey: + _numThreads: -1 + _numGPULayers: 0 + _parallelPrompts: -1 + _contextSize: 8192 + _batchSize: 512 + _model: + _flashAttention: 0 + _reasoning: 0 + _lora: + _loraWeights: dontDestroyOnLoad: 1 - contextSize: 8192 - batchSize: 512 - basePrompt: - model: - chatTemplate: chatml - lora: - loraWeights: - flashAttention: 0 - APIKey: - SSLCert: - SSLCertPath: - SSLKey: - SSLKeyPath: minContextLength: 0 maxContextLength: 0 --- !u!4 &1047848255 diff --git a/Samples~/SimpleInteraction/SimpleInteraction.cs b/Samples~/SimpleInteraction/SimpleInteraction.cs index 060e9c41..e3b48168 100644 --- a/Samples~/SimpleInteraction/SimpleInteraction.cs +++ b/Samples~/SimpleInteraction/SimpleInteraction.cs @@ -20,7 +20,7 @@ void onInputFieldSubmit(string message) { playerText.interactable = false; AIText.text = "..."; - _ = llmAgent.ChatAsync(message, SetAIText, AIReplyComplete); + _ = llmAgent.Chat(message, SetAIText, AIReplyComplete); } public void SetAIText(string text) From 84efdf732da3b08000445ac300c552469619f1b1 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 2 Dec 2025 16:51:34 +0200 Subject: [PATCH 39/69] fix setting up of functions dependent on caller object --- Runtime/LLMAgent.cs | 25 ++++++++++++++--------- Runtime/LLMClient.cs | 47 +++++++++++++++++++++++++++++--------------- 2 files changed, 47 insertions(+), 25 deletions(-) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index b46a08ca..36fed69e 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -139,9 +139,9 @@ public override void Awake() base.Awake(); } - protected override async Task SetupLLMClient() + protected override async Task SetupCallerObject() { - await base.SetupLLMClient(); + await base.SetupCallerObject(); string exceptionMessage = ""; try @@ -158,7 +158,14 @@ protected override async Task SetupLLMClient() if (exceptionMessage != "") error += ", error: " + exceptionMessage; LLMUnitySetup.LogError(error, true); } + } + /// + /// Initialisation after setting up the LLM client (local or remote). + /// + protected override async Task PostSetupCallerObject() + { + await base.PostSetupCallerObject(); if (slot != -1) llmAgent.SlotId = slot; await InitHistory(); } @@ -217,7 +224,7 @@ public virtual string GetSavePath() /// public virtual async Task ClearHistory() { - await CheckLLMClient(checkConnection: false); + await CheckCaller(checkConnection: false); llmAgent.ClearHistory(); } @@ -228,7 +235,7 @@ public virtual async Task ClearHistory() /// Message content public virtual async Task AddMessage(string role, string content) { - await CheckLLMClient(); + await CheckCaller(); llmAgent.AddMessage(role, content); } @@ -238,7 +245,7 @@ public virtual async Task AddMessage(string role, string content) /// User message content public virtual async Task AddUserMessage(string content) { - await CheckLLMClient(); + await CheckCaller(); llmAgent.AddUserMessage(content); } @@ -248,7 +255,7 @@ public virtual async Task AddUserMessage(string content) /// Assistant message content public virtual async Task AddAssistantMessage(string content) { - await CheckLLMClient(); + await CheckCaller(); llmAgent.AddAssistantMessage(content); } @@ -275,7 +282,7 @@ public class CompletionResponseJson public virtual async Task Chat(string query, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, bool addToHistory = true) { - await CheckLLMClient(); + await CheckCaller(); // Wrap callback to ensure it runs on the main thread LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback, this); @@ -341,7 +348,7 @@ public virtual async Task SaveHistory() LLMUnitySetup.LogError("No save path specified"); return; } - await CheckLLMClient(); + await CheckCaller(); // Save chat history string jsonPath = GetSavePath(); @@ -373,7 +380,7 @@ public virtual async Task LoadHistory() LLMUnitySetup.LogError("No save path specified"); return; } - await CheckLLMClient(); + await CheckCaller(); // Load chat history string jsonPath = GetSavePath(); diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 36e371e6..040636c7 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -132,7 +132,7 @@ public bool remote if (_remote != value) { _remote = value; - if (started) _ = SetupLLMClient(); + if (started) _ = SetupCaller(); } } } @@ -153,7 +153,7 @@ public string APIKey if (_APIKey != value) { _APIKey = value; - if (started) _ = SetupLLMClient(); + if (started) _ = SetupCaller(); } } } @@ -167,7 +167,7 @@ public string host if (_host != value) { _host = value; - if (started) _ = SetupLLMClient(); + if (started) _ = SetupCaller(); } } } @@ -181,7 +181,7 @@ public int port if (_port != value) { _port = value; - if (started) _ = SetupLLMClient(); + if (started) _ = SetupCaller(); } } } @@ -223,7 +223,7 @@ public virtual void Awake() public virtual async void Start() { if (!enabled) return; - await SetupLLMClient(); + await SetupCaller(); started = true; } @@ -240,11 +240,11 @@ protected virtual void Reset() #endregion #region Initialization - protected virtual async Task CheckLLMClient(bool checkConnection = true) + protected virtual async Task CheckCaller(bool checkConnection = true) { await startSemaphore.WaitAsync(); startSemaphore.Release(); - if (GetCaller() == null) LLMUnitySetup.LogError("LLMClient not initialized", true); + if (GetCaller() == null) LLMUnitySetup.LogError("LLM caller not initialized", true); if (remote && checkConnection) { for (int attempt = 0; attempt <= numRetries; attempt++) @@ -258,7 +258,16 @@ protected virtual async Task CheckLLMClient(bool checkConnection = true) /// /// Sets up the underlying LLM client connection (local or remote). /// - protected virtual async Task SetupLLMClient() + protected virtual async Task SetupCaller() + { + await SetupCallerObject(); + await PostSetupCallerObject(); + } + + /// + /// Sets up the underlying LLM client connection (local or remote). + /// + protected virtual async Task SetupCallerObject() { await startSemaphore.WaitAsync(); @@ -275,9 +284,6 @@ protected virtual async Task SetupLLMClient() { llmClient = new UndreamAI.LlamaLib.LLMClient(host, port, APIKey, numRetries); } - - SetGrammar(grammar); - completionParametersCache = ""; } catch (Exception ex) { @@ -297,6 +303,15 @@ protected virtual async Task SetupLLMClient() } } + /// + /// Initialisation after setting up the LLM client (local or remote). + /// + protected virtual async Task PostSetupCallerObject() + { + SetGrammar(grammar); + completionParametersCache = ""; + } + /// /// Gets the underlying LLMLocal instance for operations requiring local access. /// @@ -320,7 +335,7 @@ protected virtual async Task SetLLM(LLM llmInstance) } _llm = llmInstance; - if (started) await SetupLLMClient(); + if (started) await SetupCaller(); } #endregion @@ -497,7 +512,7 @@ public virtual async Task> Tokenize(string query, Callback> { throw new ArgumentNullException(nameof(query)); } - await CheckLLMClient(); + await CheckCaller(); List tokens = llmClient.Tokenize(query); callback?.Invoke(tokens); @@ -516,7 +531,7 @@ public virtual async Task Detokenize(List tokens, Callback { throw new ArgumentNullException(nameof(tokens)); } - await CheckLLMClient(); + await CheckCaller(); string text = llmClient.Detokenize(tokens); callback?.Invoke(text); @@ -535,7 +550,7 @@ public virtual async Task> Embeddings(string query, Callback embeddings = llmClient.Embeddings(query); callback?.Invoke(embeddings); @@ -553,7 +568,7 @@ public virtual async Task> Embeddings(string query, Callback Completion(string prompt, LlamaLib.CharArrayCallback callback = null, EmptyCallback completionCallback = null, int id_slot = -1) { - await CheckLLMClient(); + await CheckCaller(); SetCompletionParameters(); string result = await llmClient.CompletionAsync(prompt, callback, id_slot); completionCallback?.Invoke(); From f08e89a4494ed219dbfc97ec50f9d2da7b07f1ef Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Fri, 5 Dec 2025 13:28:46 +0200 Subject: [PATCH 40/69] Add undream libraries in macOS Xcode --- Editor/LLMBuildProcessor.cs | 68 ++++++++++++++++++++++++++----------- 1 file changed, 48 insertions(+), 20 deletions(-) diff --git a/Editor/LLMBuildProcessor.cs b/Editor/LLMBuildProcessor.cs index a73ea2ee..cfbe57b3 100644 --- a/Editor/LLMBuildProcessor.cs +++ b/Editor/LLMBuildProcessor.cs @@ -2,7 +2,8 @@ using UnityEditor.Build; using UnityEditor.Build.Reporting; using UnityEngine; -#if UNITY_IOS || UNITY_VISIONOS +using System.Collections.Generic; +#if UNITY_STANDALONE_OSX || UNITY_IOS || UNITY_VISIONOS using System.IO; using UnityEditor.iOS.Xcode; #endif @@ -27,48 +28,75 @@ private void OnBuildError(string condition, string stacktrace, LogType type) if (type == LogType.Error) BuildCompleted(); } -#if UNITY_IOS || UNITY_VISIONOS +#if UNITY_STANDALONE_OSX || UNITY_IOS || UNITY_VISIONOS /// /// Postprocess the iOS Build /// public static void PostprocessIOSBuild(BuildTarget buildTarget, string outputPath) { + List libraryFileNames = new List(); +#if UNITY_IOS string projPath = PBXProject.GetPBXProjectPath(outputPath); -#if UNITY_VISIONOS - projPath = projPath.Replace("Unity-iPhone", "Unity-VisionOS"); + libraryFileNames.Add("libllamalib_ios-arm64.a"); +#elif UNITY_VISIONOS + string projPath = PBXProject.GetPBXProjectPath(outputPath).Replace("Unity-iPhone", "Unity-VisionOS"); + libraryFileNames.Add("libllamalib_visionos-arm64.a"); +#else + string projPath = Path.Combine(outputPath, Path.GetFileName(outputPath) + ".xcodeproj", "project.pbxproj"); + if (!File.Exists(projPath)) return; + libraryFileNames.Add("libllamalib_osx-universal_acc.dylib"); + libraryFileNames.Add("libllamalib_osx-universal_no-acc.dylib"); #endif + PBXProject project = new PBXProject(); project.ReadFromFile(projPath); - string targetGuid = project.GetUnityFrameworkTargetGuid(); - string frameworkTargetGuid = project.GetUnityFrameworkTargetGuid(); string unityMainTargetGuid = project.GetUnityMainTargetGuid(); - string embedFrameworksGuid = project.GetResourcesBuildPhaseByTarget(frameworkTargetGuid); + string targetGuid = project.GetUnityFrameworkTargetGuid(); // Add Accelerate framework project.AddFrameworkToProject(unityMainTargetGuid, "Accelerate.framework", false); - project.AddFrameworkToProject(targetGuid, "Accelerate.framework", false); + if (targetGuid != null) project.AddFrameworkToProject(targetGuid, "Accelerate.framework", false); + + List libraryFiles = new List(); + foreach (string libraryFileName in libraryFileNames) + { + string lib = LLMUnitySetup.SearchDirectory(outputPath, libraryFileName); + if (lib != null) libraryFiles.Add(lib); + } - string libraryFile = LLMUnitySetup.RelativePath(LLMUnitySetup.SearchDirectory(outputPath, $"libundreamai_{buildTarget.ToString().ToLower()}.a"), outputPath); - string fileGuid = project.FindFileGuidByProjectPath(libraryFile); - if (string.IsNullOrEmpty(fileGuid)) LLMUnitySetup.LogError($"Library file {libraryFile} not found in project"); + if (libraryFiles.Count == 0) + { + Debug.LogError($"No library files found for the build"); + } else { - foreach (var phaseGuid in project.GetAllBuildPhasesForTarget(unityMainTargetGuid)) + foreach (string libraryFile in libraryFiles) { - if (project.GetBuildPhaseName(phaseGuid) == "Embed Frameworks") + string relLibraryFile = LLMUnitySetup.RelativePath(libraryFile, outputPath); + string fileGuid = project.FindFileGuidByProjectPath(relLibraryFile); + if (string.IsNullOrEmpty(fileGuid)) { - project.RemoveFileFromBuild(phaseGuid, fileGuid); - break; + Debug.LogError($"Library file {relLibraryFile} not found in project"); } - } + else + { + foreach (var phaseGuid in project.GetAllBuildPhasesForTarget(unityMainTargetGuid)) + { + if (project.GetBuildPhaseName(phaseGuid) == "Embed Frameworks") + { + project.RemoveFileFromBuild(phaseGuid, fileGuid); + break; + } + } - project.AddFileToBuild(unityMainTargetGuid, fileGuid); - project.AddFileToBuild(targetGuid, fileGuid); + project.AddFileToBuild(unityMainTargetGuid, fileGuid); + if (targetGuid != null) project.AddFileToBuild(targetGuid, fileGuid); + } + } } project.WriteToFile(projPath); - AssetDatabase.ImportAsset(projPath); } #endif @@ -76,7 +104,7 @@ public static void PostprocessIOSBuild(BuildTarget buildTarget, string outputPat // called after the build public void OnPostprocessBuild(BuildReport report) { -#if UNITY_IOS || UNITY_VISIONOS +#if UNITY_STANDALONE_OSX || UNITY_IOS || UNITY_VISIONOS PostprocessIOSBuild(report.summary.platform, report.summary.outputPath); #endif EditorApplication.delayCall += () => From 1c4c7017dc164cd535f3c4c0dd89a9d553a67a5a Mon Sep 17 00:00:00 2001 From: amakropoulos Date: Fri, 5 Dec 2025 11:31:53 +0000 Subject: [PATCH 41/69] update tooltips --- Runtime/LLM.cs | 16 +--------------- Runtime/LLMAgent.cs | 6 +----- Runtime/LLMClient.cs | 7 ------- 3 files changed, 2 insertions(+), 27 deletions(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index b12d3c0a..b29a3eda 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -25,63 +25,48 @@ public class LLM : MonoBehaviour [HideInInspector] public bool advancedOptions = false; /// Enable remote server functionality to allow external connections - [Tooltip("Enable remote server functionality to allow external connections")] [LocalRemote, SerializeField] private bool _remote = false; /// Port to use for the remote LLM server - [Tooltip("Port to use for the remote LLM server")] [Remote, SerializeField] private int _port = 13333; /// API key required for server access (leave empty to disable authentication) - [Tooltip("API key required for server access (leave empty to disable authentication)")] [SerializeField] private string _APIKey = ""; /// SSL certificate for the remote LLM server - [Tooltip("SSL certificate for the remote LLM server")] [SerializeField] private string _SSLCert = ""; /// SSL key for the remote LLM server - [Tooltip("SSL key for the remote LLM server")] [SerializeField] private string _SSLKey = ""; /// Number of threads to use for processing (-1 = use all available threads) - [Tooltip("Number of threads to use for processing (-1 = use all available threads)")] [LLM, SerializeField] private int _numThreads = -1; /// Number of model layers to offload to GPU (0 = CPU only). Falls back to CPU if GPU unsupported - [Tooltip("Number of model layers to offload to GPU (0 = CPU only). Falls back to CPU if GPU unsupported")] [LLM, SerializeField] private int _numGPULayers = 0; /// Number of prompts that can be processed in parallel (-1 = auto-detect from clients) - [Tooltip("Number of prompts that can be processed in parallel (-1 = auto-detect from clients)")] [LLM, SerializeField] private int _parallelPrompts = -1; /// Size of the prompt context in tokens (0 = use model's default context size) - [Tooltip("Size of the prompt context in tokens (0 = use model's default context size). This determines how much conversation history the model can remember.")] [DynamicRange("minContextLength", "maxContextLength", false), Model, SerializeField] private int _contextSize = 8192; /// Batch size for prompt processing (larger = more memory, potentially faster) - [Tooltip("Batch size for prompt processing (larger = more memory, potentially faster)")] [ModelAdvanced, SerializeField] private int _batchSize = 512; /// LLM model file path (.gguf format) - [Tooltip("LLM model file path (.gguf format)")] [ModelAdvanced, SerializeField] private string _model = ""; /// Enable flash attention optimization (requires compatible model) - [Tooltip("Enable flash attention optimization (requires compatible model)")] [ModelExtras, SerializeField] private bool _flashAttention = false; /// Enable LLM reasoning ("thinking" mode) - [Tooltip("Enable LLM reasoning ('thinking' mode)")] [ModelAdvanced, SerializeField] private bool _reasoning = false; /// LORA adapter model paths (.gguf format), separated by commas - [Tooltip("LORA adapter model paths (.gguf format), separated by commas")] [ModelAdvanced, SerializeField] private string _lora = ""; /// Weights for LORA adapters, separated by commas (default: 1.0 for each) - [Tooltip("Weights for LORA adapters, separated by commas (default: 1.0 for each)")] [ModelAdvanced, SerializeField] private string _loraWeights = ""; /// Persist this LLM GameObject across scene transitions @@ -288,6 +273,7 @@ public string SSLKey public LLMService llmService { get; private set; } /// Model architecture name (e.g., "llama", "mistral") + [Tooltip("Model architecture name (e.g., "llama", "mistral")")] public string architecture => llmlib?.architecture; /// True if this model only supports embeddings (no text generation) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 36fed69e..2c9311a7 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -21,7 +21,7 @@ public class LLMAgent : LLMClient { #region Inspector Fields /// Filename for saving chat history (saved in persistentDataPath) - [Tooltip("Filename for saving chat history (saved in Application.persistentDataPath)")] + [Tooltip("Filename for saving chat history (saved in persistentDataPath)")] [LLM] public string save = ""; /// Debug LLM prompts @@ -29,19 +29,15 @@ public class LLMAgent : LLMClient [LLM] public bool debugPrompt = false; /// Server slot to use for processing (affects caching behavior) - [Tooltip("Server slot to use for processing (affects caching behavior)")] [ModelAdvanced, SerializeField] protected int _slot = -1; /// Role name for user messages in conversation - [Tooltip("Role name for user messages in conversation")] [Chat, SerializeField] protected string _userRole = "user"; /// Role name for AI assistant messages in conversation - [Tooltip("Role name for AI assistant messages in conversation")] [Chat, SerializeField] protected string _assistantRole = "assistant"; /// System prompt that defines the AI's personality and behavior - [Tooltip("System prompt that defines the AI's personality and behavior")] [TextArea(5, 10), Chat, SerializeField] protected string _systemPrompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."; #endregion diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 040636c7..f5c101e2 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -25,31 +25,24 @@ public class LLMClient : MonoBehaviour [HideInInspector] public bool advancedOptions = false; /// Use remote LLM server instead of local instance - [Tooltip("Use remote LLM server instead of local instance")] [LocalRemote, SerializeField] protected bool _remote; /// Local LLM GameObject to connect to - [Tooltip("Local LLM GameObject to connect to")] [Local, SerializeField] protected LLM _llm; /// API key for remote server authentication - [Tooltip("API key for remote server authentication")] [Remote, SerializeField] protected string _APIKey; /// Hostname or IP address of remote LLM server - [Tooltip("Hostname or IP address of remote LLM server")] [Remote, SerializeField] protected string _host = "localhost"; /// Port number of remote LLM server - [Tooltip("Port number of remote LLM server")] [Remote, SerializeField] protected int _port = 13333; /// Number of retries of remote LLM server - [Tooltip("Number of retries of remote LLM server")] [Remote, SerializeField] protected int numRetries = 5; /// Grammar constraints for output formatting (GBNF or JSON schema format) - [Tooltip("Grammar constraints for output formatting (GBNF or JSON schema format)")] [ModelAdvanced, TextArea(1, 10), SerializeField] protected string _grammar = ""; // Completion Parameters From ec01c69ccef6a4408c087c885ce09d2000474c55 Mon Sep 17 00:00:00 2001 From: trkim Date: Fri, 21 Nov 2025 13:28:42 +0900 Subject: [PATCH 42/69] fix: Bypasses the issue where errors occur due to antivirus program detection when using the temporaryCachePath. --- Runtime/LLMBuilder.cs | 47 +++++++++++++++++++++++++++++++++++++------ 1 file changed, 41 insertions(+), 6 deletions(-) diff --git a/Runtime/LLMBuilder.cs b/Runtime/LLMBuilder.cs index 9d595c2a..a4c642c1 100644 --- a/Runtime/LLMBuilder.cs +++ b/Runtime/LLMBuilder.cs @@ -15,7 +15,7 @@ namespace LLMUnity public class LLMBuilder : AssetPostprocessor { static List movedPairs = new List(); - public static string BuildTempDir = Path.Combine(Application.temporaryCachePath, "LLMUnityBuild"); + public static string BuildTempDir = Path.Combine(Directory.GetParent(Application.dataPath).FullName, "LLMUnityBuild"); static string movedCache = Path.Combine(BuildTempDir, "moved.json"); [InitializeOnLoadMethod] @@ -36,6 +36,28 @@ public static string PluginLibraryDir(string platform, bool relative = false) return Path.Combine(PluginDir(platform, relative), LLMUnitySetup.libraryName); } + public static void Retry(System.Action action, int retries = 10, int delayMs = 100) + { + for (int i = 0; i < retries; i++) + { + try + { + action(); + return; + } + catch (IOException) + { + if (i == retries - 1) throw; + System.Threading.Thread.Sleep(delayMs); + } + catch (System.UnauthorizedAccessException) + { + if (i == retries - 1) throw; + System.Threading.Thread.Sleep(delayMs); + } + } + } + /// /// Performs an action for a file or a directory recursively /// @@ -46,7 +68,7 @@ public static void HandleActionFileRecursive(string source, string target, Actio { if (File.Exists(source)) { - actionCallback(source, target); + Retry(() => actionCallback(source, target)); } else if (Directory.Exists(source)) { @@ -106,8 +128,8 @@ public static bool DeletePath(string path) LLMUnitySetup.LogError($"Safeguard: {path} will not be deleted because it may not be safe"); return false; } - if (File.Exists(path)) File.Delete(path); - else if (Directory.Exists(path)) Directory.Delete(path, true); + if (File.Exists(path)) Retry(() => File.Delete(path)); + else if (Directory.Exists(path)) Retry(() => Directory.Delete(path, true)); return true; } @@ -300,8 +322,21 @@ public static void Reset() bool refresh = false; foreach (var pair in movedPairs) { - if (pair.source == "") refresh |= DeletePath(pair.target); - else refresh |= MoveAction(pair.target, pair.source, false); + if (pair.source == "") + { + refresh |= DeletePath(pair.target); + } + else + { + if (File.Exists(pair.source) || Directory.Exists(pair.source)) + { + refresh |= DeletePath(pair.target); + } + else + { + refresh |= MoveAction(pair.target, pair.source, false); + } + } } if (refresh) AssetDatabase.Refresh(); DeletePath(movedCache); From 750c06a7d1fe9ddbf2fce4e43381b86093180be5 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 8 Dec 2025 16:46:08 +0200 Subject: [PATCH 43/69] Add migration guide --- Migration.md | 200 ++++++++++++++++++++++++++++++++++++++++++++++ Migration.md.meta | 7 ++ 2 files changed, 207 insertions(+) create mode 100644 Migration.md create mode 100644 Migration.md.meta diff --git a/Migration.md b/Migration.md new file mode 100644 index 00000000..bc32248b --- /dev/null +++ b/Migration.md @@ -0,0 +1,200 @@ +# **LLMUnity Migration Guide: Upgrading to the New Architecture** + +This guide helps you migrate to LLMUnity v3 from v2. + +The LLM backend, [LlamaLib](https://github.com/undreamai/LlamaLib), has been completely rewritten and most of the LLM functionality in Unity has now been ported to the backend.
+At the same time, LlamaLib has been implemented as a clean, high-level library that can been used on its own by C++ and C# developers.
+Special care has been taken to provide better support for future llama.cpp versions, streamlining more the upgrade process. + +## **Breaking Changes - Graphical Interface** +In terms of graphical interface in Unity, there have been almost no changes: +- The LLMCharacter class has been renamed to LLMAgent +- The chat templates have been removed from the LLM model management (LLM GameObjects) +- "Use extras" has been renamed to "Use cuBLAS" (LLM GameObjects) +- Grammars can be directly edited (LLMAgent GameObjects) + +## **Breaking Changes - Scripting** + +### **1\. LLM Server (LLM.cs)** + +#### **API Changes** + +**Setting Model:** + +``` c# +// OLD +llm.SetModel("path/to/model.gguf"); + +// NEW +llm.model = "path/to/model.gguf"; +``` + +**Setting Chat Template:** + +Setting the chat template is not needed anymore, it is handled by LlamaLib and loads the LLM-supported template automatically. + +``` c# +// OLD +llm.SetTemplate("chatml"); + +// NEW +// Template is auto-detected from model_ +``` + +### **2\. Chat Agent (LLMCharacter → LLMAgent)** + +LLMCharacter has been moved to a new class LLMAgent.
+**Note:** LLMCharacter still exists as a deprecated wrapper for backward compatibility, but will be removed in future versions. + +#### **Property changes** + +| **Old Property** | **New Property** | **Migration** | +| --- | --- | --- | +| playerName | userRole | Direct rename | +| AIName | assistantRole | Direct rename | +| prompt | systemPrompt | Direct rename | +| chat | chat | Now a property with getter/setter | +| saveCache | Removed | Cache management removed | + + +#### **API Changes** + +**Clear History:** +``` c# +// OLD +character.ClearChat(); + +// NEW +await agent.ClearHistory(); +``` + +**Setting / Changing the System Prompt:** +- Without clearing the history + +``` c# +// OLD +character.SetPrompt("You are a helpful assistant", clearChat: false); + +// NEW +agent.systemPrompt = "You are a helpful assistant"; +``` + +- Clearing the history +``` c# +// OLD +character.SetPrompt("You are a helpful assistant", clearChat: true); + +// NEW +agent.systemPrompt = "You are a helpful assistant"; +await agent.ClearHistory(); +``` + +**Managing History:** + +``` c# +character.AddPlayerMessage("Hello"); +character.AddAIMessage("Hi there"); + +// NEW +await agent.AddUserMessage("Hello"); +await agent.AddAssistantMessage("Hi there"); +``` + +**Saving/Loading:** + +``` c# +// OLD +await character.Save("chat_history"); +await character.Load("chat_history"); + +// NEW +await agent.SaveHistory(); +await agent.LoadHistory(); +``` + +The history path is directly the `character.save` property. + +**Grammar:** + +Setting the grammar directly: +``` c# +// OLD +llmClient.grammarString = "your grammar here"; + +// NEW +llmClient.grammar = "your grammar here"; +``` + +Loading a grammar file: +``` c# +// OLD +await character.SetGrammar("path/to/grammar.gbnf"); +await character.SetJSONGrammar("path/to/schema.json"); + +// NEW +llmClient.LoadGrammar("path/to/grammar.gbnf"); +llmClient.LoadGrammar("path/to/schema.json"); +``` + +### **Reasoning Mode (New Feature)** + +``` c# +// NEW - Enable "thinking" mode of the LLM +llm.reasoning = true; +// Or +llm.SetReasoning(true); +``` + +## **Migration Steps** + +### **Step 1: Update Class Inheritance** + +``` c# +// Change LLMCharacter to LLMAgent +public class MyNPC : LLMAgent // was LLMCharacter +{ +// Your code_ +} +``` + +### **Step 2: Update Property Names** + +``` c# +// In LLMAgent +agent.userRole = "Player"; // was character.playerName +agent.assistantRole = "AI"; // was character.AIName +agent.systemPrompt = "..."; // was character.prompt +``` + +### **Step 3: Update Method Calls** + +``` c# +// History management +await agent.ClearHistory(); // was character.ClearChat() +await agent.AddUserMessage("Hi"); // was character.AddPlayerMessage("Hi") +await agent.AddAssistantMessage("Hello"); // was character.AddAIMessage("Hello") +``` + +### **Step 4: Update Grammar** + +``` c# +agent.grammar = "your grammar here"; // was character.grammarString = "your grammar here" +// or +agent.LoadGrammar("grammar.gbnf"); // was await character.SetGrammar("path/to/grammar.gbnf"); or await character.SetJSONGrammar("path/to/schema.json"); +``` + +### **Step 5: Update Save/Load** + +``` c# +agent.save = "history"; // Set once +await agent.SaveHistory(); // was await character.Save("history"); +await agent.LoadHistory(); // was await character.Load("history"); +``` + +### **Step 6: Remove Chat Template** + +``` c# +// OLD +// Remove: +// llm.SetTemplate("phi-3"); +``` diff --git a/Migration.md.meta b/Migration.md.meta new file mode 100644 index 00000000..585a65b1 --- /dev/null +++ b/Migration.md.meta @@ -0,0 +1,7 @@ +fileFormatVersion: 2 +guid: 950db95695065d546bdb3e9f742544ce +TextScriptImporter: + externalObjects: {} + userData: + assetBundleName: + assetBundleVariant: From 56137388a5d8ce4185c1fe5bba8b9aadb6485b49 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Mon, 8 Dec 2025 20:43:02 +0200 Subject: [PATCH 44/69] await rag.Add --- Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs | 2 +- Samples~/RAG/RAG_Sample.cs | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs index 211f1480..b948da9a 100644 --- a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs +++ b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs @@ -82,7 +82,7 @@ public async Task CreateEmbeddings() PlayerText.text += $"Creating Embeddings for {botName} (only once)...\n"; List questions = botQuestionAnswers.Keys.ToList(); stopwatch.Start(); - foreach (string question in questions) rag.Add(question, botName); + foreach (string question in questions) await rag.Add(question, botName); stopwatch.Stop(); Debug.Log($"embedded {rag.Count()} phrases in {stopwatch.Elapsed.TotalMilliseconds / 1000f} secs"); } diff --git a/Samples~/RAG/RAG_Sample.cs b/Samples~/RAG/RAG_Sample.cs index 013384db..e81b0b7a 100644 --- a/Samples~/RAG/RAG_Sample.cs +++ b/Samples~/RAG/RAG_Sample.cs @@ -44,7 +44,7 @@ public async Task CreateEmbeddings() playerText.text += $"Creating Embeddings (only once)...\n"; Stopwatch stopwatch = new Stopwatch(); stopwatch.Start(); - foreach (string phrase in phrases) rag.Add(phrase); + foreach (string phrase in phrases) await rag.Add(phrase); stopwatch.Stop(); Debug.Log($"embedded {rag.Count()} phrases in {stopwatch.Elapsed.TotalMilliseconds / 1000f} secs"); // store the embeddings From 73280490cab1bafab24503cb3560080cdac92a2c Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 9 Dec 2025 10:29:16 +0200 Subject: [PATCH 45/69] retain loras in Editor --- Runtime/LLM.cs | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index b29a3eda..f70a9482 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -295,6 +295,8 @@ public string SSLKey public LLMManager llmManager = new LLMManager(); private static readonly object staticLock = new object(); public LoraManager loraManager = new LoraManager(); + string loraPre = ""; + string loraWeightsPre = ""; /// \endcond #endregion @@ -304,6 +306,15 @@ public LLM() LLMManager.Register(this); } + void OnValidate() + { + if (lora != loraPre || loraWeights != loraWeightsPre) + { + loraManager.FromStrings(lora, loraWeights); + (loraPre, loraWeightsPre) = (lora, loraWeights); + } + } + /// /// Unity Awake method that initializes the LLM server. /// Sets up the model, starts the service, and handles GPU fallback if needed. From 73a8556b6908a8cefa75bb67a2c21d4f710234f9 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 9 Dec 2025 10:29:46 +0200 Subject: [PATCH 46/69] work around async warning --- Runtime/LLMClient.cs | 1 + 1 file changed, 1 insertion(+) diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index f5c101e2..23f20167 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -303,6 +303,7 @@ protected virtual async Task PostSetupCallerObject() { SetGrammar(grammar); completionParametersCache = ""; + await Task.Yield(); } /// From 9db50a454f23fb44c5becbe90bb4394aa4dedcbd Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Wed, 10 Dec 2025 18:29:26 +0200 Subject: [PATCH 47/69] use LLMUnity exceptions alongside an error log --- Runtime/LLM.cs | 28 +++++++++---------- Runtime/LLMBuilder.cs | 8 +++--- Runtime/LLMClient.cs | 6 ++-- Runtime/LLMGGUF.cs | 8 +++--- Runtime/LLMUnitySetup.cs | 7 +++-- Runtime/LLMUtils.cs | 2 +- Runtime/RAG/DBSearch.cs | 2 +- Runtime/RAG/RAG.cs | 3 +- Runtime/RAG/Search.cs | 6 ++-- Runtime/RAG/SimpleSearch.cs | 2 +- .../KnowledgeBaseGame/KnowledgeBaseGame.cs | 4 +-- Samples~/RAG/RAG_Sample.cs | 4 +-- 12 files changed, 41 insertions(+), 39 deletions(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index f70a9482..cc077618 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -84,7 +84,7 @@ public int numThreads { AssertNotStarted(); if (value < -1) - throw new ArgumentException("numThreads must be >= -1"); + LLMUnitySetup.LogError("numThreads must be >= -1", true); _numThreads = value; } } @@ -97,7 +97,7 @@ public int numGPULayers { AssertNotStarted(); if (value < 0) - throw new ArgumentException("numGPULayers must be >= 0"); + LLMUnitySetup.LogError("numGPULayers must be >= 0", true); _numGPULayers = value; } } @@ -110,7 +110,7 @@ public int parallelPrompts { AssertNotStarted(); if (value < -1) - throw new ArgumentException("parallelPrompts must be >= -1"); + LLMUnitySetup.LogError("parallelPrompts must be >= -1", true); _parallelPrompts = value; } } @@ -123,7 +123,7 @@ public int contextSize { AssertNotStarted(); if (value < 0) - throw new ArgumentException("contextSize must be >= 0"); + LLMUnitySetup.LogError("contextSize must be >= 0", true); _contextSize = value; } } @@ -136,7 +136,7 @@ public int batchSize { AssertNotStarted(); if (value <= 0) - throw new ArgumentException("batchSize must be > 0"); + LLMUnitySetup.LogError("batchSize must be > 0", true); _batchSize = value; } } @@ -212,7 +212,7 @@ public int port { if (value == _port) return; if (value < 0 || value > 65535) - throw new ArgumentException("port must be between 0 and 65535"); + LLMUnitySetup.LogError("port must be between 0 and 65535", true); _port = value; RestartServer(); } @@ -351,7 +351,7 @@ private void ValidateParameters() { if ((SSLCert != "" && SSLKey == "") || (SSLCert == "" && SSLKey != "")) { - throw new ArgumentException("Both SSL certificate and key must be provided together!"); + LLMUnitySetup.LogError("Both SSL certificate and key must be provided together!", true); } } @@ -359,13 +359,13 @@ private string GetValidatedModelPath() { if (string.IsNullOrEmpty(model)) { - throw new ArgumentException("No model file provided!"); + LLMUnitySetup.LogError("No model file provided!", true); } string modelPath = GetLLMManagerAssetRuntime(model); if (!File.Exists(modelPath)) { - throw new ArgumentException($"Model file not found: {modelPath}"); + LLMUnitySetup.LogError($"Model file not found: {modelPath}", true); } return modelPath; } @@ -380,7 +380,7 @@ private List GetValidatedLoraPaths() string resolvedPath = GetLLMManagerAssetRuntime(loraPath); if (!File.Exists(resolvedPath)) { - throw new ArgumentException($"LORA file not found: {resolvedPath}"); + LLMUnitySetup.LogError($"LORA file not found: {resolvedPath}", true); } loraPaths.Add(resolvedPath); } @@ -401,7 +401,7 @@ private async Task StartServiceAsync() CreateLib(); await CreateServiceAsync(modelPath, loraPaths); } - catch (ArgumentException ex) + catch (LLMUnityException ex) { LLMUnitySetup.LogError(ex.Message); failed = true; @@ -507,7 +507,7 @@ public async Task WaitUntilReady() if (failed) { - throw new InvalidOperationException("LLM failed to start"); + LLMUnitySetup.LogError("LLM failed to start", true); } } @@ -596,7 +596,7 @@ public void Register(LLMClient llmClient) { if (llmClient == null) { - throw new ArgumentNullException(nameof(llmClient)); + LLMUnitySetup.LogError("llmClient is null", true); } clients.Add(llmClient); @@ -680,7 +680,7 @@ public void SetLoraWeights(Dictionary loraToWeight) { if (loraToWeight == null) { - throw new ArgumentNullException(nameof(loraToWeight)); + LLMUnitySetup.LogError("loraToWeight is null", true); } foreach (var entry in loraToWeight) diff --git a/Runtime/LLMBuilder.cs b/Runtime/LLMBuilder.cs index a4c642c1..b06a3193 100644 --- a/Runtime/LLMBuilder.cs +++ b/Runtime/LLMBuilder.cs @@ -45,14 +45,14 @@ public static void Retry(System.Action action, int retries = 10, int delayMs = 1 action(); return; } - catch (IOException) + catch (IOException e) { - if (i == retries - 1) throw; + if (i == retries - 1) LLMUnitySetup.LogError(e.Message, true); System.Threading.Thread.Sleep(delayMs); } - catch (System.UnauthorizedAccessException) + catch (System.UnauthorizedAccessException e) { - if (i == retries - 1) throw; + if (i == retries - 1) LLMUnitySetup.LogError(e.Message, true);; System.Threading.Thread.Sleep(delayMs); } } diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 23f20167..38298a9a 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -504,7 +504,7 @@ public virtual async Task> Tokenize(string query, Callback> { if (string.IsNullOrEmpty(query)) { - throw new ArgumentNullException(nameof(query)); + LLMUnitySetup.LogError("query is null", true); } await CheckCaller(); @@ -523,7 +523,7 @@ public virtual async Task Detokenize(List tokens, Callback { if (tokens == null) { - throw new ArgumentNullException(nameof(tokens)); + LLMUnitySetup.LogError("tokens is null", true); } await CheckCaller(); @@ -542,7 +542,7 @@ public virtual async Task> Embeddings(string query, Callback { new uint[] { temp_version } }, data = new List { 0 }, types = new List { GGUFValueType.UINT32 } }); ulong[] temp_counts = new ulong[2]; @@ -172,7 +172,7 @@ private byte[] ReadBytes(int offset, int count) private int PushField(ReaderField field, bool skip_sum = false) { if (fields.ContainsKey(field.name)) - throw new ArgumentException($"Duplicate {field.name} already in list at offset {field.offset}"); + LLMUnitySetup.LogError($"Duplicate {field.name} already in list at offset {field.offset}", true); fields[field.name] = field; if (skip_sum) return 0; @@ -240,7 +240,7 @@ private int PushField(ReaderField field, bool skip_sum = false) return (offs - orig_offs, aparts, data_idxs, types); } // We can't deal with this one. - throw new ArgumentException($"Unknown/unhandled field type {(GGUFValueType)raw_type}"); + LLMUnitySetup.LogError($"Unknown/unhandled field type {(GGUFValueType)raw_type}", true); } private int BuildFields(int offs, int count) diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index c2f14ad5..e93d9f79 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -68,9 +68,10 @@ public class LLMAdvancedAttribute : AdvancedAttribute {} public class ModelAdvancedAttribute : AdvancedAttribute {} public class ChatAdvancedAttribute : AdvancedAttribute {} - public class NotImplementedException : Exception + + public class LLMUnityException : Exception { - public NotImplementedException() : base("The method needs to be implemented by subclasses.") {} + public LLMUnityException(string message = "") : base(message) {} } public delegate void EmptyCallback(); @@ -199,7 +200,7 @@ public static void LogError(string message, bool throwException = false) if ((int)DebugMode > (int)DebugModeType.Error) return; Debug.LogError(message); foreach (Callback errorCallback in errorCallbacks) errorCallback(message); - if (throwException) throw new Exception(message); + if (throwException) throw new LLMUnityException(message); } static void LoadPlayerPrefs() diff --git a/Runtime/LLMUtils.cs b/Runtime/LLMUtils.cs index 86d42195..43763936 100644 --- a/Runtime/LLMUtils.cs +++ b/Runtime/LLMUtils.cs @@ -148,7 +148,7 @@ public void FromStrings(string loraString, string loraWeightsString) { List loraStringArr = new List(loraString.Split(delimiter)); List loraWeightsStringArr = new List(loraWeightsString.Split(delimiter)); - if (loraStringArr.Count != loraWeightsStringArr.Count) throw new Exception($"LoRAs number ({loraString}) doesn't match the number of weights ({loraWeightsString})"); + if (loraStringArr.Count != loraWeightsStringArr.Count) LLMUnitySetup.LogError($"LoRAs number ({loraString}) doesn't match the number of weights ({loraWeightsString})", true); List lorasNew = new List(); for (int i = 0; i < loraStringArr.Count; i++) lorasNew.Add(new LoraAsset(loraStringArr[i].Trim(), float.Parse(loraWeightsStringArr[i]))); diff --git a/Runtime/RAG/DBSearch.cs b/Runtime/RAG/DBSearch.cs index e0888530..9f919641 100644 --- a/Runtime/RAG/DBSearch.cs +++ b/Runtime/RAG/DBSearch.cs @@ -77,7 +77,7 @@ public override int IncrementalSearch(float[] embedding, string group = "") public override ValueTuple IncrementalFetchKeys(int fetchKey, int k) { - if (!incrementalSearchCache.ContainsKey(fetchKey)) throw new Exception($"There is no IncrementalSearch cached with this key: {fetchKey}"); + if (!incrementalSearchCache.ContainsKey(fetchKey)) LLMUnitySetup.LogError($"There is no IncrementalSearch cached with this key: {fetchKey}", true); (float[] embedding, string group, List seenKeys) = incrementalSearchCache[fetchKey]; diff --git a/Runtime/RAG/RAG.cs b/Runtime/RAG/RAG.cs index a1b26183..19b8d07e 100644 --- a/Runtime/RAG/RAG.cs +++ b/Runtime/RAG/RAG.cs @@ -99,7 +99,8 @@ protected Searchable GetSearcher() { if (chunking != null) return chunking; if (search != null) return search; - throw new Exception("The search GameObject is null"); + LLMUnitySetup.LogError("The search GameObject is null", true); + return null; } #if UNITY_EDITOR diff --git a/Runtime/RAG/Search.cs b/Runtime/RAG/Search.cs index 249beafb..264ad599 100644 --- a/Runtime/RAG/Search.cs +++ b/Runtime/RAG/Search.cs @@ -314,8 +314,8 @@ public void SetLLM(LLM llm) /// \cond HIDE public static float DotProduct(float[] vector1, float[] vector2) { - if (vector1 == null || vector2 == null) throw new ArgumentNullException("Vectors cannot be null"); - if (vector1.Length != vector2.Length) throw new ArgumentException("Vector lengths must be equal for dot product calculation"); + if (vector1 == null || vector2 == null) LLMUnitySetup.LogError("Vectors cannot be null", true); + if (vector1.Length != vector2.Length) LLMUnitySetup.LogError("Vector lengths must be equal for dot product calculation", true); float result = 0; for (int i = 0; i < vector1.Length; i++) { @@ -526,7 +526,7 @@ public static void Save(ZipArchive archive, object saveObject, string name) public static T Load(ZipArchive archive, string name) { ZipArchiveEntry baseEntry = archive.GetEntry(name); - if (baseEntry == null) throw new Exception($"No entry with name {name} was found"); + if (baseEntry == null) LLMUnitySetup.LogError($"No entry with name {name} was found", true); using (Stream entryStream = baseEntry.Open()) { BinaryFormatter formatter = new BinaryFormatter(); diff --git a/Runtime/RAG/SimpleSearch.cs b/Runtime/RAG/SimpleSearch.cs index 8d97d645..e30af1a4 100644 --- a/Runtime/RAG/SimpleSearch.cs +++ b/Runtime/RAG/SimpleSearch.cs @@ -51,7 +51,7 @@ public override int IncrementalSearch(float[] embedding, string group = "") public override ValueTuple IncrementalFetchKeys(int fetchKey, int k) { - if (!incrementalSearchCache.ContainsKey(fetchKey)) throw new Exception($"There is no IncrementalSearch cached with this key: {fetchKey}"); + if (!incrementalSearchCache.ContainsKey(fetchKey)) LLMUnitySetup.LogError($"There is no IncrementalSearch cached with this key: {fetchKey}", true); bool completed; List<(int, float)> sortedLists; diff --git a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs index b948da9a..4a6856ce 100644 --- a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs +++ b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs @@ -90,7 +90,7 @@ public async Task CreateEmbeddings() rag.Save(ragPath); #else // if in play mode throw an error - throw new System.Exception("The embeddings could not be found!"); + Debug.LogError("The embeddings could not be found!"); #endif } } @@ -168,7 +168,7 @@ void CheckLLM(LLMClient llmClient, bool debug) { string error = $"Please select a llm model in the {llmClient.llm.gameObject.name} GameObject!"; if (debug) Debug.LogWarning(error); - else throw new System.Exception(error); + else Debug.LogError(error); } } diff --git a/Samples~/RAG/RAG_Sample.cs b/Samples~/RAG/RAG_Sample.cs index e81b0b7a..decb5e7d 100644 --- a/Samples~/RAG/RAG_Sample.cs +++ b/Samples~/RAG/RAG_Sample.cs @@ -51,7 +51,7 @@ public async Task CreateEmbeddings() rag.Save(ragPath); #else // if in play mode throw an error - throw new System.Exception("The embeddings could not be found!"); + Debug.LogError("The embeddings could not be found!"); #endif } } @@ -88,7 +88,7 @@ protected void CheckLLM(LLMClient llmClient, bool debug) { string error = $"Please select a llm model in the {llmClient.llm.gameObject.name} GameObject!"; if (debug) Debug.LogWarning(error); - else throw new System.Exception(error); + else Debug.LogError(error); } } From a24c721b25095b9c6f70227511ddfb0c70d8fb8a Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Wed, 10 Dec 2025 18:31:56 +0200 Subject: [PATCH 48/69] update Readme --- README.md | 78 +++++++++++++++++++++++++++---------------------------- 1 file changed, 38 insertions(+), 40 deletions(-) diff --git a/README.md b/README.md index b108a329..93dd6cfb 100644 --- a/README.md +++ b/README.md @@ -19,8 +19,9 @@ LLM for Unity enables seamless integration of Large Language Models (LLMs) within the Unity engine.
It allows to create intelligent characters that your players can interact with for an immersive experience.
-The package also features a Retrieval-Augmented Generation (RAG) system that allows to performs semantic search across your data, which can be used to enhance the character's knowledge. +The package also features a Retrieval-Augmented Generation (RAG) system that allows to performs semantic search across your data, which can be used to enhance the character's knowledge.
LLM for Unity is built on top of the awesome [llama.cpp](https://github.com/ggerganov/llama.cpp) library. +The LLM backend, [LlamaLib](https://github.com/undreamai/LlamaLib) is provided as a standalone C++/C# library. At a glance  •  @@ -46,8 +47,12 @@ LLM for Unity is built on top of the awesome [llama.cpp](https://github.com/gger 🧪 Tested on Unity: 2021 LTS, 2022 LTS, 2023, Unity 6
🚦 [Upcoming Releases](https://github.com/orgs/undreamai/projects/2/views/10) + +### Business inquiries +For business inquiries you can reach out at hello@undream.ai. + ## How to help -- [⭐ Star](https://github.com/undreamai/LLMUnity) the repo, leave us a [review](https://assetstore.unity.com/packages/slug/273604) and spread the word about the project! +- [⭐ Star](https://github.com/undreamai/LLMUnity) the repo, leave a [review](https://assetstore.unity.com/packages/slug/273604) and spread the word about the project! - Join us at [Discord](https://discord.gg/RwXKQb6zdv) and say hi. - [Contribute](CONTRIBUTING.md) by submitting feature requests, bugs or even your own PR. - [![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/amakropoulos) this work to allow even cooler features! @@ -70,8 +75,10 @@ LLM for Unity is built on top of the awesome [llama.cpp](https://github.com/gger - [Dungeon Chat](https://www.meta.com/experiences/dungeonchat/8527310950709276/) - [Tomonaka Desk](https://joycatdev.itch.io/tomonaka-desk) - [Digital Humans](https://store.steampowered.com/app/3089280/Digital_Humans/) +- [CakeMix](https://ripenedpeach.itch.io/cakemix) +- [HeyWaifu](https://squirclegames.itch.io/hey-waifu-ai) -Contact us to add your project! +Contact hello@undream.ai to add your project! ## Setup _Method 1: Install using the asset store_ @@ -94,11 +101,9 @@ First you will setup the LLM for your game 🏎: Then you can setup each of your characters as follows 🙋‍♀️: - Create an empty GameObject for the character.
In the GameObject Inspector click `Add Component` and select the LLMAgent script. -- Define the role of your AI in the `Prompt`. You can define the name of the AI (`AI Name`) and the player (`Player Name`). +- Define the role of your AI in the `System Prompt`. You can define the role of the AI (`Assistant Role`) and the player (`User Role`). - (Optional) Select the LLM constructed above in the `LLM` field if you have more than one LLM GameObjects. -You can also adjust the LLM and character settings according to your preference (see [Options](#options)). - In your script you can then use it as follows 🦄: ``` c# using LLMUnity; @@ -120,8 +125,7 @@ public class MyScript { } } ``` -You can also specify a function to call when the model reply has been completed.
-This is useful if the `Stream` option is enabled for continuous output from the model (default behaviour): +You can also specify a function to call when the model reply has been completed: ``` c# void ReplyCompleted(){ // do something when the reply from the model is complete @@ -182,20 +186,15 @@ The [MobileDemo](Samples~/MobileDemo) is an example application for Android / iO
-Restrict the output of the LLM / Function calling +Restrict the output of the LLM / Function calling / Grammar To restrict the output of the LLM you can use a grammar, read more [here](https://github.com/ggerganov/llama.cpp/tree/master/grammars).
-The grammar can be saved in a .gbnf file and loaded at the LLMAgent with the `Load Grammar` button (Advanced options).
+The grammar can edited directly in the `Grammar` field of the LLMAgent or saved in a gbnf / json schema file and loaded with the `Load Grammar` button (Advanced options).
For instance to receive replies in json format you can use the [json.gbnf](https://github.com/ggerganov/llama.cpp/blob/b4218/grammars/json.gbnf) grammar.
-Graamars in JSON schema format are also supported and can be loaded with the `Load JSON Grammar` button (Advanced options).
Alternatively you can set the grammar directly with code: ``` c# -// GBNF grammar -llmAgent.grammarString = "your GBNF grammar here"; - -// or JSON schema grammar -llmAgent.grammarJSONString = "your JSON schema grammar here"; +llmAgent.grammar = "your grammar here"; ``` For function calling you can define similarly a grammar that allows only the function names as output, and then call the respective function.
@@ -205,23 +204,32 @@ You can look into the [FunctionCalling](Samples~/FunctionCalling) sample for an
Access / Save / Load your chat history The chat history of a `LLMAgent` is retained in the `chat` variable that is a list of `ChatMessage` objects.
-The ChatMessage is a struct that defines the `role` of the message and the `content`.
-The first element of the list is always the system prompt and then alternating messages with the player prompt and the AI reply.
-You can modify the chat history directly in this list.
+The ChatMessage is a class that defines the `role` of the message and the `content`.
+The list contains alternating messages with the player prompt and the AI reply.
+You can modify the chat history and then set it to you LLMAgent GameObject: +``` c# +List newChat = new List(); +... +llmAgent.chat = newChat; +``` + +To add new messages you can do: +``` c# +_ = llmAgent.AddUserMessage("your user message"); +_ = llmAgent.AddAssistantMessage("your assistant reply"); +``` To automatically save / load your chat history, you can specify the `Save` parameter of the LLMAgent to the filename (or relative path) of your choice. -The file is saved in the [persistentDataPath folder of Unity](https://docs.unity3d.com/ScriptReference/Application-persistentDataPath.html). -This also saves the state of the LLM which means that the previously cached prompt does not need to be recomputed. +The chat history is saved in the [persistentDataPath folder of Unity](https://docs.unity3d.com/ScriptReference/Application-persistentDataPath.html) as a json object. To manually save your chat history, you can use: ``` c# - llmAgent.Save("filename"); + _ = llmAgent.SaveHistory(); ``` and to load the history: ``` c# - llmAgent.Load("filename"); + _ = llmAgent.Loadistory(); ``` -where filename the filename or relative path of your choice.
@@ -265,7 +273,7 @@ where filename the filename or relative path of your choice. // your game function ... string message = "The cat is away"; - _ = llmAgent.Complete(message, HandleReply, ReplyCompleted); + _ = llmAgent.Completion(message, HandleReply, ReplyCompleted); ... } ``` @@ -309,13 +317,10 @@ public class MyScript : MonoBehaviour // set the model using the filename of the model. // The model needs to be added to the LLM model manager (see LLM model management) by loading or downloading it. // Otherwise the model file can be copied directly inside the StreamingAssets folder. - llm.SetModel("Phi-3-mini-4k-instruct-q4.gguf"); + llm.model = "Qwen3-4B-Q4_K_M.gguf"; // optional: you can also set loras in a similar fashion and set their weights (if needed) llm.AddLora("my-lora.gguf"); - llm.SetLoraWeight(0.5f); - // optional: you can set the chat template of the model if it is not correctly identified - // You can find a list of chat templates in the ChatTemplate.templates.Keys - llm.SetTemplate("phi-3"); + llm.AddLora("my-lora-2.gguf", 0.5f); // optional: set number of threads llm.numThreads = -1; // optional: enable GPU by setting the number of model layers to offload to it @@ -326,18 +331,14 @@ public class MyScript : MonoBehaviour // set the LLM object that handles the model llmAgent.llm = llm; // set the character prompt - llmAgent.SetPrompt("A chat between a curious human and an artificial intelligence assistant."); + llmAgent.systemPrompt = "A chat between a curious human and an artificial intelligence assistant."; // set the AI and player name llmAgent.assistantRole = "AI"; llmAgent.userRole = "Human"; - // optional: set streaming to false to get the complete result in one go - // llmAgent.stream = true; // optional: set a save path - // llmAgent.save = "AICharacter1"; - // optional: enable the save cache to avoid recomputation when loading a save file (requires ~100 MB) - // llmAgent.saveCache = true; + llmAgent.save = "AICharacter1.json"; // optional: set a grammar - // await llmAgent.SetGrammar("json.gbnf"); + llmAgent.grammar = "your grammar here"; // re-enable gameObject gameObject.SetActive(true); @@ -513,9 +514,6 @@ The samples can be run with the `Scene.unity` scene they contain inside their fo In the scene, select the `LLM` GameObject and click the `Download Model` button to download a default model or `Load model` to load your own model (see [LLM model management](#llm-model-management)).
Save the scene, run and enjoy! -## Options -Details on the different parameters are provided as Unity Tooltips. Previous documentation can be found [here](Options.md) (deprecated). - ## License The license of LLM for Unity is MIT ([LICENSE.md](LICENSE.md)) and uses third-party software with MIT and Apache licenses. Some models included in the asset define their own license terms, please review them before using each model. From 12924ff9834c1148beaa527f286d2f8eab79350f Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Wed, 10 Dec 2025 18:35:47 +0200 Subject: [PATCH 49/69] fix typos --- Runtime/LLM.cs | 1 - Runtime/LLMGGUF.cs | 1 + 2 files changed, 1 insertion(+), 1 deletion(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index cc077618..8e5ca828 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -273,7 +273,6 @@ public string SSLKey public LLMService llmService { get; private set; } /// Model architecture name (e.g., "llama", "mistral") - [Tooltip("Model architecture name (e.g., "llama", "mistral")")] public string architecture => llmlib?.architecture; /// True if this model only supports embeddings (no text generation) diff --git a/Runtime/LLMGGUF.cs b/Runtime/LLMGGUF.cs index 8ba4ae3a..e1813b4c 100644 --- a/Runtime/LLMGGUF.cs +++ b/Runtime/LLMGGUF.cs @@ -241,6 +241,7 @@ private int PushField(ReaderField field, bool skip_sum = false) } // We can't deal with this one. LLMUnitySetup.LogError($"Unknown/unhandled field type {(GGUFValueType)raw_type}", true); + return (-1, null, null, null); } private int BuildFields(int offs, int count) From c6b16475bd9c5946f4a755ed05f85b1a9a6ba4eb Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Thu, 11 Dec 2025 16:43:04 +0200 Subject: [PATCH 50/69] update LlamaLib --- Runtime/LlamaLib/LLM.cs | 5 - Runtime/LlamaLib/LLMAgent.cs | 11 +- Runtime/LlamaLib/LlamaLib.cs | 859 +++++++++++++++++++---------------- 3 files changed, 478 insertions(+), 397 deletions(-) diff --git a/Runtime/LlamaLib/LLM.cs b/Runtime/LlamaLib/LLM.cs index d0b695f0..0e1d8193 100644 --- a/Runtime/LlamaLib/LLM.cs +++ b/Runtime/LlamaLib/LLM.cs @@ -69,11 +69,6 @@ protected void CheckLlamaLib() if (disposed) throw new ObjectDisposedException(GetType().Name); if (llamaLib == null) throw new InvalidOperationException("LlamaLib instance is not initialized"); if (llm == IntPtr.Zero) throw new InvalidOperationException("LLM instance is not initialized"); - if (llamaLib.LLM_Status_Code() != 0) - { - string status_msg = Marshal.PtrToStringAnsi(llamaLib.LLM_Status_Message()) ?? string.Empty; - throw new AccessViolationException(status_msg); - } } public virtual void Dispose() {} diff --git a/Runtime/LlamaLib/LLMAgent.cs b/Runtime/LlamaLib/LLMAgent.cs index 07a8319a..4f12eb03 100644 --- a/Runtime/LlamaLib/LLMAgent.cs +++ b/Runtime/LlamaLib/LLMAgent.cs @@ -75,9 +75,9 @@ public LLMAgent(LLMLocal _llm, string _systemPrompt = "", string _userRole = "us llmBase = _llm; llamaLib = llmBase.llamaLib; - llm = llamaLib.LLMAgent_Construct(llmBase.llm, - _systemPrompt ?? string.Empty, - _userRole ?? "user", + llm = llamaLib.LLMAgent_Construct(llmBase.llm, + _systemPrompt ?? string.Empty, + _userRole ?? "user", _assistantRole ?? "assistant"); if (llm == IntPtr.Zero) throw new InvalidOperationException("Failed to create LLMAgent"); } @@ -179,7 +179,7 @@ public List GetHistory() } } } - catch { } + catch {} return messages; } @@ -306,7 +306,6 @@ public void Cancel() llamaLib.LLM_Cancel(llm, SlotId); } - // Override slot-based methods to hide them private new string SaveSlot(int id_slot, string filepath) { @@ -323,4 +322,4 @@ public void Cancel() Cancel(); } } -} \ No newline at end of file +} diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index 144dc1f0..ea6c85b7 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -8,14 +8,348 @@ namespace UndreamAI.LlamaLib { public class LlamaLib { - public string architecture { get; private set; } + //################################################## FUNCTION DELEGATES ##################################################// - // Function delegates [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate void CharArrayCallback([MarshalAs(UnmanagedType.LPStr)] string charArray); + // Main lib + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Enable_Reasoning_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.I1)] bool enable_reasoning); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Apply_Template_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string messages_as_json); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Tokenize_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Detokenize_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string tokens_as_json); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Embeddings_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Completion_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query, CharArrayCallback callback, int id_slot = -1, [MarshalAs(UnmanagedType.I1)] bool return_response_json = false); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Save_Slot_Delegate(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Load_Slot_Delegate(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Cancel_Delegate(IntPtr llm, int idSlot); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate bool LLM_Lora_Weight_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string loras_as_json); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Lora_List_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Delete_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Start_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + [return : MarshalAs(UnmanagedType.I1)] + public delegate bool LLM_Started_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Stop_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Start_Server_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string host = "0.0.0.0", int port = -1, [MarshalAs(UnmanagedType.LPStr)] string apiKey = ""); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Stop_Server_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Join_Service_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Join_Server_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Set_SSL_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string sslCert, [MarshalAs(UnmanagedType.LPStr)] string sslKey); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate int LLM_Status_Code_Delegate(); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Status_Message_Delegate(); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate int LLM_Embedding_Size_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMService_Construct_Delegate( + [MarshalAs(UnmanagedType.LPStr)] string modelPath, + int numSlots = 1, + int numThreads = -1, + int numGpuLayers = 0, + [MarshalAs(UnmanagedType.I1)] bool flashAttention = false, + int contextSize = 4096, + int batchSize = 2048, + [MarshalAs(UnmanagedType.I1)] bool embeddingOnly = false, + int loraCount = 0, + IntPtr loraPaths = default); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMService_From_Command_Delegate([MarshalAs(UnmanagedType.LPStr)] string paramsString); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMService_Command_Delegate(IntPtr llm); + + // LLMClient functions + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMClient_Construct_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMClient_Construct_Remote_Delegate( + [MarshalAs(UnmanagedType.LPStr)] string url, int port, [MarshalAs(UnmanagedType.LPStr)] string apiKey = "", int numRetries = 5 + ); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMClient_Set_SSL_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string SSLCert); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate bool LLMClient_Is_Server_Alive_Delegate(IntPtr llm); + + // LLMAgent functions + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Construct_Delegate(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string systemPrompt = "", + [MarshalAs(UnmanagedType.LPStr)] string userRole = "user", + [MarshalAs(UnmanagedType.LPStr)] string assistantRole = "assistant"); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_User_Role_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string userRole); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Get_User_Role_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_Assistant_Role_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string assistantRole); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Get_Assistant_Role_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_System_Prompt_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Get_System_Prompt_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Set_Grammar_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string grammar); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Get_Grammar_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLM_Set_Completion_Parameters_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string parameters); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLM_Get_Completion_Parameters_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_Slot_Delegate(IntPtr llm, int slotId); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate int LLMAgent_Get_Slot_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Chat_Delegate(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string userPrompt, + [MarshalAs(UnmanagedType.I1)] bool addToHistory = true, + CharArrayCallback callback = null, + [MarshalAs(UnmanagedType.I1)] bool returnResponseJson = false); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Clear_History_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr LLMAgent_Get_History_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Set_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string historyJson); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, + [MarshalAs(UnmanagedType.LPStr)] string role, + [MarshalAs(UnmanagedType.LPStr)] string content); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Remove_Last_Message_Delegate(IntPtr llm); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Save_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Load_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate int LLMAgent_Get_History_Size_Delegate(IntPtr llm); + + //################################################## FUNCTION POINTERS ##################################################// + + // Main lib + public LLM_Enable_Reasoning_Delegate LLM_Enable_Reasoning_Internal; + public LLM_Apply_Template_Delegate LLM_Apply_Template_Internal; + public LLM_Tokenize_Delegate LLM_Tokenize_Internal; + public LLM_Detokenize_Delegate LLM_Detokenize_Internal; + public LLM_Embeddings_Delegate LLM_Embeddings_Internal; + public LLM_Completion_Delegate LLM_Completion_Internal; + public LLM_Save_Slot_Delegate LLM_Save_Slot_Internal; + public LLM_Load_Slot_Delegate LLM_Load_Slot_Internal; + public LLM_Cancel_Delegate LLM_Cancel_Internal; + public LLM_Lora_Weight_Delegate LLM_Lora_Weight_Internal; + public LLM_Lora_List_Delegate LLM_Lora_List_Internal; + public LLM_Delete_Delegate LLM_Delete_Internal; + public LLM_Start_Delegate LLM_Start_Internal; + public LLM_Started_Delegate LLM_Started_Internal; + public LLM_Stop_Delegate LLM_Stop_Internal; + public LLM_Start_Server_Delegate LLM_Start_Server_Internal; + public LLM_Stop_Server_Delegate LLM_Stop_Server_Internal; + public LLM_Join_Service_Delegate LLM_Join_Service_Internal; + public LLM_Join_Server_Delegate LLM_Join_Server_Internal; + public LLM_Set_SSL_Delegate LLM_Set_SSL_Internal; + public LLM_Status_Code_Delegate LLM_Status_Code_Internal; + public LLM_Status_Message_Delegate LLM_Status_Message_Internal; + public LLM_Embedding_Size_Delegate LLM_Embedding_Size_Internal; + public LLMService_Construct_Delegate LLMService_Construct_Internal; + public LLMService_From_Command_Delegate LLMService_From_Command_Internal; + public LLMService_Command_Delegate LLMService_Command_Internal; + public LLMClient_Construct_Delegate LLMClient_Construct_Internal; + public LLMClient_Construct_Remote_Delegate LLMClient_Construct_Remote_Internal; + public LLMClient_Set_SSL_Delegate LLMClient_Set_SSL_Internal; + public LLMClient_Is_Server_Alive_Delegate LLMClient_Is_Server_Alive_Internal; + public LLMAgent_Construct_Delegate LLMAgent_Construct_Internal; + public LLMAgent_Set_User_Role_Delegate LLMAgent_Set_User_Role_Internal; + public LLMAgent_Get_User_Role_Delegate LLMAgent_Get_User_Role_Internal; + public LLMAgent_Set_Assistant_Role_Delegate LLMAgent_Set_Assistant_Role_Internal; + public LLMAgent_Get_Assistant_Role_Delegate LLMAgent_Get_Assistant_Role_Internal; + public LLMAgent_Set_System_Prompt_Delegate LLMAgent_Set_System_Prompt_Internal; + public LLMAgent_Get_System_Prompt_Delegate LLMAgent_Get_System_Prompt_Internal; + public LLMAgent_Set_Slot_Delegate LLMAgent_Set_Slot_Internal; + public LLMAgent_Get_Slot_Delegate LLMAgent_Get_Slot_Internal; + public LLM_Set_Completion_Parameters_Delegate LLM_Set_Completion_Parameters_Internal; + public LLM_Get_Completion_Parameters_Delegate LLM_Get_Completion_Parameters_Internal; + public LLM_Set_Grammar_Delegate LLM_Set_Grammar_Internal; + public LLM_Get_Grammar_Delegate LLM_Get_Grammar_Internal; + public LLMAgent_Chat_Delegate LLMAgent_Chat_Internal; + public LLMAgent_Clear_History_Delegate LLMAgent_Clear_History_Internal; + public LLMAgent_Get_History_Delegate LLMAgent_Get_History_Internal; + public LLMAgent_Set_History_Delegate LLMAgent_Set_History_Internal; + public LLMAgent_Add_Message_Delegate LLMAgent_Add_Message_Internal; + public LLMAgent_Remove_Last_Message_Delegate LLMAgent_Remove_Last_Message_Internal; + public LLMAgent_Save_History_Delegate LLMAgent_Save_History_Internal; + public LLMAgent_Load_History_Delegate LLMAgent_Load_History_Internal; + public LLMAgent_Get_History_Size_Delegate LLMAgent_Get_History_Size_Internal; + + //################################################## STATUS CHECKING WRAPPER ##################################################// + + public void CheckStatus() + { + int status = LLM_Status_Code_Internal(); + if (status != 0) + { + string msg = Marshal.PtrToStringAnsi(LLM_Status_Message_Internal()) ?? ""; + throw new InvalidOperationException($"LlamaLib error {status}: {msg}"); + } + } + + private T CallWithStatus(Func f) + { + CheckStatus(); + T r = f(); + CheckStatus(); + return r; + } + + private void CallWithStatus(Action a) + { + CheckStatus(); + a(); + CheckStatus(); + } + + //################################################## COMMON IMPLEMENTATION ##################################################// + + public string architecture { get; private set; } + + public void LLM_Enable_Reasoning(IntPtr llm, bool enable_reasoning) => CallWithStatus(() => LLM_Enable_Reasoning_Internal(llm, enable_reasoning)); + public IntPtr LLM_Apply_Template(IntPtr llm, string messages_as_json) => CallWithStatus(() => LLM_Apply_Template_Internal(llm, messages_as_json)); + public IntPtr LLM_Tokenize(IntPtr llm, string query) => CallWithStatus(() => LLM_Tokenize_Internal(llm, query)); + public IntPtr LLM_Detokenize(IntPtr llm, string tokens_as_json) => CallWithStatus(() => LLM_Detokenize_Internal(llm, tokens_as_json)); + public IntPtr LLM_Embeddings(IntPtr llm, string query) => CallWithStatus(() => LLM_Embeddings_Internal(llm, query)); + public IntPtr LLM_Completion(IntPtr llm, string query, CharArrayCallback callback, int id_slot = -1, bool return_response_json = false) => CallWithStatus(() => LLM_Completion_Internal(llm, query, callback, id_slot, return_response_json)); + public IntPtr LLM_Save_Slot(IntPtr llm, int id_slot, string filepath) => CallWithStatus(() => LLM_Save_Slot_Internal(llm, id_slot, filepath)); + public IntPtr LLM_Load_Slot(IntPtr llm, int id_slot, string filepath) => CallWithStatus(() => LLM_Load_Slot_Internal(llm, id_slot, filepath)); + public void LLM_Cancel(IntPtr llm, int idSlot) => CallWithStatus(() => LLM_Cancel_Internal(llm, idSlot)); + public bool LLM_Lora_Weight(IntPtr llm, string loras_as_json) => CallWithStatus(() => LLM_Lora_Weight_Internal(llm, loras_as_json)); + public IntPtr LLM_Lora_List(IntPtr llm) => CallWithStatus(() => LLM_Lora_List_Internal(llm)); + public void LLM_Delete(IntPtr llm) => CallWithStatus(() => LLM_Delete_Internal(llm)); + public void LLM_Start(IntPtr llm) => CallWithStatus(() => LLM_Start_Internal(llm)); + public bool LLM_Started(IntPtr llm) => CallWithStatus(() => LLM_Started_Internal(llm)); + public void LLM_Stop(IntPtr llm) => CallWithStatus(() => LLM_Stop_Internal(llm)); + public void LLM_Start_Server(IntPtr llm, string host = "0.0.0.0", int port = -1, string apiKey = "") => CallWithStatus(() => LLM_Start_Server_Internal(llm, host, port, apiKey)); + public void LLM_Stop_Server(IntPtr llm) => CallWithStatus(() => LLM_Stop_Server_Internal(llm)); + public void LLM_Join_Service(IntPtr llm) => CallWithStatus(() => LLM_Join_Service_Internal(llm)); + public void LLM_Join_Server(IntPtr llm) => CallWithStatus(() => LLM_Join_Server_Internal(llm)); + public void LLM_Set_SSL(IntPtr llm, string sslCert, string sslKey) => CallWithStatus(() => LLM_Set_SSL_Internal(llm, sslCert, sslKey)); + public int LLM_Status_Code() => CallWithStatus(() => LLM_Status_Code_Internal()); + public IntPtr LLM_Status_Message() => CallWithStatus(() => LLM_Status_Message_Internal()); + public int LLM_Embedding_Size(IntPtr llm) => CallWithStatus(() => LLM_Embedding_Size_Internal(llm)); + public IntPtr LLMService_Construct( + string modelPath, + int numSlots = 1, + int numThreads = -1, + int numGpuLayers = 0, + bool flashAttention = false, + int contextSize = 4096, + int batchSize = 2048, + bool embeddingOnly = false, + int loraCount = 0, + IntPtr loraPaths = default + ) => CallWithStatus(() => LLMService_Construct_Internal(modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths)); + public IntPtr LLMService_From_Command(string paramsString) => CallWithStatus(() => LLMService_From_Command_Internal(paramsString)); + public IntPtr LLMService_Command(IntPtr llm) => CallWithStatus(() => LLMService_Command_Internal(llm)); + public IntPtr LLMClient_Construct(IntPtr llm) => CallWithStatus(() => LLMClient_Construct_Internal(llm)); + public IntPtr LLMClient_Construct_Remote(string url, int port, string apiKey = "", int numRetries = 5) => CallWithStatus(() => LLMClient_Construct_Remote_Internal(url, port, apiKey, numRetries)); + public void LLMClient_Set_SSL(IntPtr llm, string SSLCert) => CallWithStatus(() => LLMClient_Set_SSL_Internal(llm, SSLCert)); + public bool LLMClient_Is_Server_Alive(IntPtr llm) => CallWithStatus(() => LLMClient_Is_Server_Alive_Internal(llm)); + public IntPtr LLMAgent_Construct(IntPtr llm, string systemPrompt = "", string userRole = "user", string assistantRole = "assistant") + => CallWithStatus(() => LLMAgent_Construct_Internal(llm, systemPrompt, userRole, assistantRole)); + public void LLMAgent_Set_User_Role(IntPtr llm, string userRole) => CallWithStatus(() => LLMAgent_Set_User_Role_Internal(llm, userRole)); + public IntPtr LLMAgent_Get_User_Role(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_User_Role_Internal(llm)); + public void LLMAgent_Set_Assistant_Role(IntPtr llm, string assistantRole) => CallWithStatus(() => LLMAgent_Set_Assistant_Role_Internal(llm, assistantRole)); + public IntPtr LLMAgent_Get_Assistant_Role(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_Assistant_Role_Internal(llm)); + public void LLMAgent_Set_System_Prompt(IntPtr llm, string systemPrompt) => CallWithStatus(() => LLMAgent_Set_System_Prompt_Internal(llm, systemPrompt)); + public IntPtr LLMAgent_Get_System_Prompt(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_System_Prompt_Internal(llm)); + public void LLM_Set_Completion_Parameters(IntPtr llm, string parameters) => CallWithStatus(() => LLM_Set_Completion_Parameters_Internal(llm, parameters)); + public IntPtr LLM_Get_Completion_Parameters(IntPtr llm) => CallWithStatus(() => LLM_Get_Completion_Parameters_Internal(llm)); + public void LLM_Set_Grammar(IntPtr llm, string grammar) => CallWithStatus(() => LLM_Set_Grammar_Internal(llm, grammar)); + public IntPtr LLM_Get_Grammar(IntPtr llm) => CallWithStatus(() => LLM_Get_Grammar_Internal(llm)); + public void LLMAgent_Set_Slot(IntPtr llm, int slotId) => CallWithStatus(() => LLMAgent_Set_Slot_Internal(llm, slotId)); + public int LLMAgent_Get_Slot(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_Slot_Internal(llm)); + public IntPtr LLMAgent_Chat(IntPtr llm, string userPrompt, bool addToHistory = true, CharArrayCallback callback = null, bool returnResponseJson = false) + => CallWithStatus(() => LLMAgent_Chat_Internal(llm, userPrompt, addToHistory, callback, returnResponseJson)); + public void LLMAgent_Clear_History(IntPtr llm) => CallWithStatus(() => LLMAgent_Clear_History_Internal(llm)); + public IntPtr LLMAgent_Get_History(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_History_Internal(llm)); + public void LLMAgent_Set_History(IntPtr llm, string historyJson) => CallWithStatus(() => LLMAgent_Set_History_Internal(llm, historyJson)); + public void LLMAgent_Add_Message(IntPtr llm, string role, string content) => CallWithStatus(() => LLMAgent_Add_Message_Internal(llm, role, content)); + public void LLMAgent_Remove_Last_Message(IntPtr llm) => CallWithStatus(() => LLMAgent_Remove_Last_Message_Internal(llm)); + public void LLMAgent_Save_History(IntPtr llm, string filepath) => CallWithStatus(() => LLMAgent_Save_History_Internal(llm, filepath)); + public void LLMAgent_Load_History(IntPtr llm, string filepath) => CallWithStatus(() => LLMAgent_Load_History_Internal(llm, filepath)); + public int LLMAgent_Get_History_Size(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_History_Size_Internal(llm)); + + //################################################## MOBILE IMPLEMENTATION ##################################################// + #if ANDROID || IOS || VISIONOS - // Static P/Invoke declarations for mobile platforms #if ANDROID_ARM64 public const string DllName = "libllamalib_android-arm64"; #elif ANDROID_X64 @@ -24,131 +358,97 @@ public class LlamaLib public const string DllName = "__Internal"; #endif - public LlamaLib(bool gpu = false) - { -#if ANDROID_ARM64 - architecture = "android-arm64"; -#elif ANDROID_X64 - architecture = "android-x64"; -#elif IOS - architecture = "ios-arm64"; -#elif VISIONOS - architecture = "visionos-arm64"; -#endif - } - - // Base LLM functions + // Static functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Debug")] public static extern void LLM_Debug_Static(int debugLevel); - public static void Debug(int debugLevel) => LLM_Debug_Static(debugLevel); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Logging_Callback")] public static extern void LLM_Logging_Callback_Static(CharArrayCallback callback); - public static void LoggingCallback(CharArrayCallback callback) => LLM_Logging_Callback_Static(callback); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Logging_Stop")] public static extern void LLM_Logging_Stop_Static(); + + public static void Debug(int debugLevel) => LLM_Debug_Static(debugLevel); + public static void LoggingCallback(CharArrayCallback callback) => LLM_Logging_Callback_Static(callback); public static void LoggingStop() => LLM_Logging_Stop_Static(); + // LLM functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Enable_Reasoning")] public static extern void LLM_Enable_Reasoning_Static(IntPtr llm, [MarshalAs(UnmanagedType.I1)] bool enable_reasoning); - public void LLM_Enable_Reasoning(IntPtr llm, bool enable_reasoning) => LLM_Enable_Reasoning_Static(llm, enable_reasoning); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Apply_Template")] public static extern IntPtr LLM_Apply_Template_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string messages_as_json); - public IntPtr LLM_Apply_Template(IntPtr llm, string messages_as_json) => LLM_Apply_Template_Static(llm, messages_as_json); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Tokenize")] public static extern IntPtr LLM_Tokenize_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); - public IntPtr LLM_Tokenize(IntPtr llm, string query) => LlamaLib.LLM_Tokenize_Static(llm, query); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Detokenize")] public static extern IntPtr LLM_Detokenize_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string tokens_as_json); - public IntPtr LLM_Detokenize(IntPtr llm, string tokens_as_json) => LlamaLib.LLM_Detokenize_Static(llm, tokens_as_json); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Embeddings")] public static extern IntPtr LLM_Embeddings_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); - public IntPtr LLM_Embeddings(IntPtr llm, string query) => LlamaLib.LLM_Embeddings_Static(llm, query); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Completion")] public static extern IntPtr LLM_Completion_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query, CharArrayCallback callback, int id_slot = -1, [MarshalAs(UnmanagedType.I1)] bool return_response_json = false); - public IntPtr LLM_Completion(IntPtr llm, string query, CharArrayCallback callback, int id_slot = -1, bool return_response_json = false) => LlamaLib.LLM_Completion_Static(llm, query, callback, id_slot, return_response_json); // LLMLocal functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Save_Slot")] public static extern IntPtr LLM_Save_Slot_Static(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); - public IntPtr LLM_Save_Slot(IntPtr llm, int id_slot, string filepath) => LlamaLib.LLM_Save_Slot_Static(llm, id_slot, filepath); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Load_Slot")] public static extern IntPtr LLM_Load_Slot_Static(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); - public IntPtr LLM_Load_Slot(IntPtr llm, int id_slot, string filepath) => LlamaLib.LLM_Load_Slot_Static(llm, id_slot, filepath); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Cancel")] public static extern void LLM_Cancel_Static(IntPtr llm, int idSlot); - public void LLM_Cancel(IntPtr llm, int idSlot) => LlamaLib.LLM_Cancel_Static(llm, idSlot); // LLMProvider functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Lora_Weight")] public static extern bool LLM_Lora_Weight_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string loras_as_json); - public bool LLM_Lora_Weight(IntPtr llm, string loras_as_json) => LlamaLib.LLM_Lora_Weight_Static(llm, loras_as_json); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Lora_List")] public static extern IntPtr LLM_Lora_List_Static(IntPtr llm); - public IntPtr LLM_Lora_List(IntPtr llm) => LlamaLib.LLM_Lora_List_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Delete")] public static extern void LLM_Delete_Static(IntPtr llm); - public void LLM_Delete(IntPtr llm) => LlamaLib.LLM_Delete_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Start")] public static extern void LLM_Start_Static(IntPtr llm); - public void LLM_Start(IntPtr llm) => LlamaLib.LLM_Start_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Started")] [return : MarshalAs(UnmanagedType.I1)] public static extern bool LLM_Started_Static(IntPtr llm); - public bool LLM_Started(IntPtr llm) => LlamaLib.LLM_Started_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Stop")] public static extern void LLM_Stop_Static(IntPtr llm); - public void LLM_Stop(IntPtr llm) => LlamaLib.LLM_Stop_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Start_Server")] public static extern void LLM_Start_Server_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string host = "0.0.0.0", int port = -1, [MarshalAs(UnmanagedType.LPStr)] string apiKey = ""); - public void LLM_Start_Server(IntPtr llm, string host = "0.0.0.0", int port = -1, string apiKey = "") => LlamaLib.LLM_Start_Server_Static(llm, host, port, apiKey); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Stop_Server")] public static extern void LLM_Stop_Server_Static(IntPtr llm); - public void LLM_Stop_Server(IntPtr llm) => LlamaLib.LLM_Stop_Server_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Join_Service")] public static extern void LLM_Join_Service_Static(IntPtr llm); - public void LLM_Join_Service(IntPtr llm) => LlamaLib.LLM_Join_Service_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Join_Server")] public static extern void LLM_Join_Server_Static(IntPtr llm); - public void LLM_Join_Server(IntPtr llm) => LlamaLib.LLM_Join_Server_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Set_SSL")] public static extern void LLM_Set_SSL_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string sslCert, [MarshalAs(UnmanagedType.LPStr)] string sslKey); - public void LLM_Set_SSL(IntPtr llm, string sslCert, string sslKey) => LlamaLib.LLM_Set_SSL_Static(llm, sslCert, sslKey); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Status_Code")] public static extern int LLM_Status_Code_Static(); - public int LLM_Status_Code() => LlamaLib.LLM_Status_Code_Static(); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Status_Message")] public static extern IntPtr LLM_Status_Message_Static(); - public IntPtr LLM_Status_Message() => LlamaLib.LLM_Status_Message_Static(); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Embedding_Size")] public static extern int LLM_Embedding_Size_Static(IntPtr llm); - public int LLM_Embedding_Size(IntPtr llm) => LlamaLib.LLM_Embedding_Size_Static(llm); // LLMService functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMService_Construct")] @@ -163,32 +463,16 @@ public static extern IntPtr LLMService_Construct_Static( [MarshalAs(UnmanagedType.I1)] bool embeddingOnly = false, int loraCount = 0, IntPtr loraPaths = default); - public IntPtr LLMService_Construct( - int numSlots = 1, - string modelPath, - int numThreads = -1, - int numGpuLayers = 0, - bool flashAttention = false, - int contextSize = 4096, - int batchSize = 2048, - bool embeddingOnly = false, - int loraCount = 0, - IntPtr loraPaths = default) - => LlamaLib.LLMService_Construct_Static(modelPath, numSlots, numThreads, numGpuLayers, flashAttention, - contextSize, batchSize, embeddingOnly, loraCount, loraPaths); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMService_From_Command")] public static extern IntPtr LLMService_From_Command_Static([MarshalAs(UnmanagedType.LPStr)] string paramsString); - public IntPtr LLMService_From_Command(string paramsString) => LlamaLib.LLMService_From_Command_Static(paramsString); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMService_Command")] public static extern IntPtr LLMService_Command_Static(IntPtr llm); - public IntPtr LLMService_Command(IntPtr llm) => LlamaLib.LLMService_Command_Static(llm); // LLMClient functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMClient_Construct")] public static extern IntPtr LLMClient_Construct_Static(IntPtr llm); - public IntPtr LLMClient_Construct(IntPtr llm) => LlamaLib.LLMClient_Construct_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMClient_Construct_Remote")] public static extern IntPtr LLMClient_Construct_Remote_Static( @@ -196,15 +480,12 @@ public static extern IntPtr LLMClient_Construct_Remote_Static( int port, [MarshalAs(UnmanagedType.LPStr)] string apiKey = "", int numRetries = 5); - public IntPtr LLMClient_Construct_Remote(string url, int port, string apiKey = "", int numRetries = 5) => LlamaLib.LLMClient_Construct_Remote_Static(url, port, apiKey, numRetries); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMClient_Set_SSL")] public static extern void LLMClient_Set_SSL_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string SSLCert); - public void LLMClient_Set_SSL(IntPtr llm, string SSLCert) => LlamaLib.LLMClient_Set_SSL_Static(llm, SSLCert); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMClient_Is_Server_Alive")] public static extern bool LLMClient_Is_Server_Alive_Static(IntPtr llm); - public bool LLMClient_Is_Server_Alive(IntPtr llm) => LlamaLib.LLMClient_Is_Server_Alive_Static(llm); // LLMAgent functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Construct")] @@ -212,56 +493,42 @@ public static extern IntPtr LLMAgent_Construct_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt = "", [MarshalAs(UnmanagedType.LPStr)] string userRole = "user", [MarshalAs(UnmanagedType.LPStr)] string assistantRole = "assistant"); - public IntPtr LLMAgent_Construct(IntPtr llm, string systemPrompt = "", string userRole = "user", string assistantRole = "assistant") - => LLMAgent_Construct_Static(llm, systemPrompt, userRole, assistantRole); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_User_Role")] public static extern void LLMAgent_Set_User_Role_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string userRole); - public void LLMAgent_Set_User_Role(IntPtr llm, string userRole) => LLMAgent_Set_User_Role_Static(llm, userRole); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_User_Role")] public static extern IntPtr LLMAgent_Get_User_Role_Static(IntPtr llm); - public IntPtr LLMAgent_Get_User_Role(IntPtr llm) => LLMAgent_Get_User_Role_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_Assistant_Role")] public static extern void LLMAgent_Set_Assistant_Role_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string assistantRole); - public void LLMAgent_Set_Assistant_Role(IntPtr llm, string assistantRole) => LLMAgent_Set_Assistant_Role_Static(llm, assistantRole); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_Assistant_Role")] public static extern IntPtr LLMAgent_Get_Assistant_Role_Static(IntPtr llm); - public IntPtr LLMAgent_Get_Assistant_Role(IntPtr llm) => LLMAgent_Get_Assistant_Role_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_System_Prompt")] public static extern void LLMAgent_Set_System_Prompt_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt); - public void LLMAgent_Set_System_Prompt(IntPtr llm, string systemPrompt) => LLMAgent_Set_System_Prompt_Static(llm, systemPrompt); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_System_Prompt")] public static extern IntPtr LLMAgent_Get_System_Prompt_Static(IntPtr llm); - public IntPtr LLMAgent_Get_System_Prompt(IntPtr llm) => LLMAgent_Get_System_Prompt_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Set_Completion_Parameters")] public static extern void LLM_Set_Completion_Parameters_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string parameters); - public void LLM_Set_Completion_Parameters(IntPtr llm, string parameters) => LLM_Set_Completion_Parameters_Static(llm, parameters); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Get_Completion_Parameters")] public static extern IntPtr LLM_Get_Completion_Parameters_Static(IntPtr llm); - public IntPtr LLM_Get_Completion_Parameters(IntPtr llm) => LLM_Get_Completion_Parameters_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Set_Grammar")] public static extern void LLM_Set_Grammar_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string grammar); - public void LLM_Set_Grammar(IntPtr llm, string grammar) => LLM_Set_Grammar_Static(llm, grammar); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLM_Get_Grammar")] public static extern IntPtr LLM_Get_Grammar_Static(IntPtr llm); - public IntPtr LLM_Get_Grammar(IntPtr llm) => LLM_Get_Grammar_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_Slot")] public static extern void LLMAgent_Set_Slot_Static(IntPtr llm, int slotId); - public void LLMAgent_Set_Slot(IntPtr llm, int slotId) => LLMAgent_Set_Slot_Static(llm, slotId); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_Slot")] - public static extern IntPtr LLMAgent_Get_Slot_Static(IntPtr llm); - public IntPtr LLMAgent_Get_Slot(IntPtr llm) => LLMAgent_Get_Slot_Static(llm); + public static extern int LLMAgent_Get_Slot_Static(IntPtr llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Chat")] public static extern IntPtr LLMAgent_Chat_Static(IntPtr llm, @@ -269,42 +536,98 @@ public static extern IntPtr LLMAgent_Chat_Static(IntPtr llm, [MarshalAs(UnmanagedType.I1)] bool addToHistory = true, CharArrayCallback callback = null, [MarshalAs(UnmanagedType.I1)] bool returnResponseJson = false); - public IntPtr LLMAgent_Chat(IntPtr llm, string userPrompt, bool addToHistory = true, CharArrayCallback callback = null, bool returnResponseJson = false) - => LLMAgent_Chat_Static(llm, userPrompt, addToHistory, callback, returnResponseJson); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Clear_History")] public static extern void LLMAgent_Clear_History_Static(IntPtr llm); - public void LLMAgent_Clear_History(IntPtr llm) => LLMAgent_Clear_History_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_History")] public static extern IntPtr LLMAgent_Get_History_Static(IntPtr llm); - public IntPtr LLMAgent_Get_History(IntPtr llm) => LLMAgent_Get_History_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_History")] public static extern void LLMAgent_Set_History_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string historyJson); - public void LLMAgent_Set_History(IntPtr llm, string historyJson) => LLMAgent_Set_History_Static(llm, historyJson); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Add_Message")] public static extern void LLMAgent_Add_Message_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string role, [MarshalAs(UnmanagedType.LPStr)] string content); - public void LLMAgent_Add_Message(IntPtr llm, string role, string content) => LLMAgent_Add_Message_Static(llm, role, content); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Remove_Last_Message")] public static extern void LLMAgent_Remove_Last_Message_Static(IntPtr llm); - public void LLMAgent_Remove_Last_Message(IntPtr llm) => LLMAgent_Remove_Last_Message_Static(llm); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Save_History")] public static extern void LLMAgent_Save_History_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); - public void LLMAgent_Save_History(IntPtr llm, string filepath) => LLMAgent_Save_History_Static(llm, filepath); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Load_History")] public static extern void LLMAgent_Load_History_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); - public void LLMAgent_Load_History(IntPtr llm, string filepath) => LLMAgent_Load_History_Static(llm, filepath); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_History_Size")] public static extern int LLMAgent_Get_History_Size_Static(IntPtr llm); - public int LLMAgent_Get_History_Size(IntPtr llm) => LLMAgent_Get_History_Size_Static(llm); + + public LlamaLib(bool gpu = false) + { +#if ANDROID_ARM64 + architecture = "android-arm64"; +#elif ANDROID_X64 + architecture = "android-x64"; +#elif IOS + architecture = "ios-arm64"; +#elif VISIONOS + architecture = "visionos-arm64"; +#endif + + LLM_Enable_Reasoning_Internal = (llm, enable_reasoning) => LLM_Enable_Reasoning_Static(llm, enable_reasoning); + LLM_Apply_Template_Internal = (llm, messages_as_json) => LLM_Apply_Template_Static(llm, messages_as_json); + LLM_Tokenize_Internal = (llm, query) => LLM_Tokenize_Static(llm, query); + LLM_Detokenize_Internal = (llm, tokens_as_json) => LLM_Detokenize_Static(llm, tokens_as_json); + LLM_Embeddings_Internal = (llm, query) => LLM_Embeddings_Static(llm, query); + LLM_Completion_Internal = (llm, query, callback, id_slot, return_response_json) => LLM_Completion_Static(llm, query, callback, id_slot, return_response_json); + LLM_Save_Slot_Internal = (llm, id_slot, filepath) => LLM_Save_Slot_Static(llm, id_slot, filepath); + LLM_Load_Slot_Internal = (llm, id_slot, filepath) => LLM_Load_Slot_Static(llm, id_slot, filepath); + LLM_Cancel_Internal = (llm, idSlot) => LLM_Cancel_Static(llm, idSlot); + LLM_Lora_Weight_Internal = (llm, loras_as_json) => LLM_Lora_Weight_Static(llm, loras_as_json); + LLM_Lora_List_Internal = (llm) => LLM_Lora_List_Static(llm); + LLM_Delete_Internal = (llm) => LLM_Delete_Static(llm); + LLM_Start_Internal = (llm) => LLM_Start_Static(llm); + LLM_Started_Internal = (llm) => LLM_Started_Static(llm); + LLM_Stop_Internal = (llm) => LLM_Stop_Static(llm); + LLM_Start_Server_Internal = (llm, host, port) => LLM_Start_Server_Static(llm, host, port, apiKey); + LLM_Stop_Server_Internal = (llm) => LLM_Stop_Server_Static(llm); + LLM_Join_Service_Internal = (llm) => LLM_Join_Service_Static(llm); + LLM_Join_Server_Internal = (llm) => LLM_Join_Server_Static(llm); + LLM_Set_SSL_Internal = (llm, sslCert, sslKey) => LLM_Set_SSL_Static(llm, sslCert, sslKey); + LLM_Status_Code_Internal = () => LLM_Status_Code_Static(); + LLM_Status_Message_Internal = () => LLM_Status_Message_Static(); + LLM_Embedding_Size_Internal = (llm) => LLM_Embedding_Size_Static(llm); + LLMService_Construct_Internal = (modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths) => LLMService_Construct_Static(modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths); + LLMService_From_Command_Internal = (paramsString) => LLMService_From_Command_Static(paramsString); + LLMService_Command_Internal = (llm) => LLMService_Command_Static(llm); + LLMClient_Construct_Internal = (llm) => LLMClient_Construct_Static(llm); + LLMClient_Construct_Remote_Internal = (url, port, apiKey, numRetries) => LLMClient_Construct_Remote_Static(url, port, apiKey, numRetries); + LLMClient_Set_SSL_Internal = (llm, SSLCert) => LLMClient_Set_SSL_Static(llm, SSLCert); + LLMClient_Is_Server_Alive_Internal = (llm) => LLMClient_Is_Server_Alive_Static(llm); + LLMAgent_Construct_Internal = (llm, systemPrompt, userRole, assistantRole) => LLMAgent_Construct_Static(llm, systemPrompt, userRole, assistantRole); + LLMAgent_Set_User_Role_Internal = (llm, userRole) => LLMAgent_Set_User_Role_Static(llm, userRole); + LLMAgent_Get_User_Role_Internal = (llm) => LLMAgent_Get_User_Role_Static(llm); + LLMAgent_Set_Assistant_Role_Internal = (llm, assistantRole) => LLMAgent_Set_Assistant_Role_Static(llm, assistantRole); + LLMAgent_Get_Assistant_Role_Internal = (llm) => LLMAgent_Get_Assistant_Role_Static(llm); + LLMAgent_Set_System_Prompt_Internal = (llm, systemPrompt) => LLMAgent_Set_System_Prompt_Static(llm, systemPrompt); + LLMAgent_Get_System_Prompt_Internal = (llm) => LLMAgent_Get_System_Prompt_Static(llm); + LLM_Set_Completion_Parameters_Internal = (llm, parameters) => LLM_Set_Completion_Parameters_Static(llm, parameters); + LLM_Get_Completion_Parameters_Internal = (llm) => LLM_Get_Completion_Parameters_Static(llm); + LLM_Set_Grammar_Internal = (llm, grammar) => LLM_Set_Grammar_Static(llm, grammar); + LLM_Get_Grammar_Internal = (llm) => LLM_Get_Grammar_Static(llm); + LLMAgent_Set_Slot_Internal = (llm, slotId) => LLMAgent_Set_Slot_Static(llm, slotId); + LLMAgent_Get_Slot_Internal = (llm) => LLMAgent_Get_Slot_Static(llm); + LLMAgent_Chat_Internal = (llm, userPrompt, addToHistory, callback, returnResponseJson) => LLMAgent_Chat_Static(llm, userPrompt, addToHistory, callback, returnResponseJson); + LLMAgent_Clear_History_Internal = (llm) => LLMAgent_Clear_History_Static(llm); + LLMAgent_Get_History_Internal = (llm) => LLMAgent_Get_History_Static(llm); + LLMAgent_Set_History_Internal = (llm, historyJson) => LLMAgent_Set_History_Static(llm, historyJson); + LLMAgent_Add_Message_Internal = (llm, role, content) => LLMAgent_Add_Message_Static(llm, role, content); + LLMAgent_Remove_Last_Message_Internal = (llm) => LLMAgent_Remove_Last_Message_Static(llm); + LLMAgent_Save_History_Internal = (llm, filepath) => LLMAgent_Save_History_Static(llm, filepath); + LLMAgent_Load_History_Internal = (llm, filepath) => LLMAgent_Load_History_Static(llm, filepath); + LLMAgent_Get_History_Size_Internal = (llm) => LLMAgent_Get_History_Size_Static(llm); + } #else // Desktop platform implementation with dynamic loading @@ -317,6 +640,16 @@ public static extern void LLMAgent_Add_Message_Static(IntPtr llm, private static int debugLevelGlobal = 0; private static CharArrayCallback loggingCallbackGlobal = null; + // Runtime lib + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate IntPtr Available_Architectures_Delegate([MarshalAs(UnmanagedType.I1)] bool gpu); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate bool Has_GPU_Layers_Delegate([MarshalAs(UnmanagedType.LPStr)] string command); + + public static Available_Architectures_Delegate Available_Architectures; + public static Has_GPU_Layers_Delegate Has_GPU_Layers; + private void LoadRuntimeLibrary() { lock (runtimeLock) @@ -449,68 +782,62 @@ private void LoadFunctionPointers() LLM_Debug = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Debug"); LLM_Logging_Callback = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Logging_Callback"); LLM_Logging_Stop = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Logging_Stop"); - LLM_Enable_Reasoning = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Enable_Reasoning"); - LLM_Apply_Template = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Apply_Template"); - LLM_Tokenize = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Tokenize"); - LLM_Detokenize = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Detokenize"); - LLM_Embeddings = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Embeddings"); - LLM_Completion = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Completion"); - LLM_Save_Slot = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Save_Slot"); - LLM_Load_Slot = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Load_Slot"); - LLM_Cancel = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Cancel"); - LLM_Lora_Weight = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Lora_Weight"); - LLM_Lora_List = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Lora_List"); - LLM_Delete = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Delete"); - LLM_Start = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Start"); - LLM_Started = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Started"); - LLM_Stop = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Stop"); - LLM_Start_Server = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Start_Server"); - LLM_Stop_Server = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Stop_Server"); - LLM_Join_Service = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Join_Service"); - LLM_Join_Server = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Join_Server"); - LLM_Set_SSL = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_SSL"); - LLM_Status_Code = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Status_Code"); - LLM_Status_Message = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Status_Message"); - LLM_Embedding_Size = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Embedding_Size"); - LLMService_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Construct"); - LLMService_From_Command = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_From_Command"); - LLMService_Command = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Command"); - LLMClient_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct"); - LLMClient_Construct_Remote = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct_Remote"); - LLMClient_Set_SSL = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Set_SSL"); - LLMClient_Is_Server_Alive = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Is_Server_Alive"); - LLMAgent_Construct = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Construct"); - LLMAgent_Set_User_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_User_Role"); - LLMAgent_Get_User_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_User_Role"); - LLMAgent_Set_Assistant_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_Assistant_Role"); - LLMAgent_Get_Assistant_Role = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_Assistant_Role"); - LLMAgent_Set_System_Prompt = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_System_Prompt"); - LLMAgent_Get_System_Prompt = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_System_Prompt"); - LLMAgent_Set_Slot = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_Slot"); - LLMAgent_Get_Slot = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_Slot"); - LLM_Set_Completion_Parameters = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_Completion_Parameters"); - LLM_Get_Completion_Parameters = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Get_Completion_Parameters"); - LLM_Set_Grammar = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_Grammar"); - LLM_Get_Grammar = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Get_Grammar"); - LLMAgent_Chat = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Chat"); - LLMAgent_Clear_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Clear_History"); - LLMAgent_Get_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_History"); - LLMAgent_Set_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_History"); - LLMAgent_Add_Message = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Add_Message"); - LLMAgent_Remove_Last_Message = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Remove_Last_Message"); - LLMAgent_Save_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Save_History"); - LLMAgent_Load_History = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Load_History"); - LLMAgent_Get_History_Size = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_History_Size"); - } - // Delegate definitions for desktop platforms - // Runtime lib - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr Available_Architectures_Delegate([MarshalAs(UnmanagedType.I1)] bool gpu); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate bool Has_GPU_Layers_Delegate([MarshalAs(UnmanagedType.LPStr)] string command); + LLM_Enable_Reasoning_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Enable_Reasoning"); + LLM_Apply_Template_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Apply_Template"); + LLM_Tokenize_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Tokenize"); + LLM_Detokenize_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Detokenize"); + LLM_Embeddings_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Embeddings"); + LLM_Completion_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Completion"); + LLM_Save_Slot_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Save_Slot"); + LLM_Load_Slot_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Load_Slot"); + LLM_Cancel_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Cancel"); + LLM_Lora_Weight_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Lora_Weight"); + LLM_Lora_List_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Lora_List"); + LLM_Delete_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Delete"); + LLM_Start_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Start"); + LLM_Started_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Started"); + LLM_Stop_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Stop"); + LLM_Start_Server_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Start_Server"); + LLM_Stop_Server_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Stop_Server"); + LLM_Join_Service_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Join_Service"); + LLM_Join_Server_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Join_Server"); + LLM_Set_SSL_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_SSL"); + LLM_Status_Code_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Status_Code"); + LLM_Status_Message_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Status_Message"); + LLM_Embedding_Size_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Embedding_Size"); + LLMService_Construct_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Construct"); + LLMService_From_Command_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_From_Command"); + LLMService_Command_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Command"); + LLMClient_Construct_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct"); + LLMClient_Construct_Remote_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct_Remote"); + LLMClient_Set_SSL_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Set_SSL"); + LLMClient_Is_Server_Alive_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Is_Server_Alive"); + LLMAgent_Construct_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Construct"); + LLMAgent_Set_User_Role_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_User_Role"); + LLMAgent_Get_User_Role_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_User_Role"); + LLMAgent_Set_Assistant_Role_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_Assistant_Role"); + LLMAgent_Get_Assistant_Role_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_Assistant_Role"); + LLMAgent_Set_System_Prompt_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_System_Prompt"); + LLMAgent_Get_System_Prompt_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_System_Prompt"); + LLMAgent_Set_Slot_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_Slot"); + LLMAgent_Get_Slot_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_Slot"); + LLM_Set_Completion_Parameters_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_Completion_Parameters"); + LLM_Get_Completion_Parameters_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Get_Completion_Parameters"); + LLM_Set_Grammar_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Set_Grammar"); + LLM_Get_Grammar_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Get_Grammar"); + LLMAgent_Chat_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Chat"); + LLMAgent_Clear_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Clear_History"); + LLMAgent_Get_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_History"); + LLMAgent_Set_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_History"); + LLMAgent_Add_Message_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Add_Message"); + LLMAgent_Remove_Last_Message_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Remove_Last_Message"); + LLMAgent_Save_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Save_History"); + LLMAgent_Load_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Load_History"); + LLMAgent_Get_History_Size_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_History_Size"); + } + // Static functions [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate void LLM_Debug_Delegate(int debugLevel); @@ -520,249 +847,9 @@ private void LoadFunctionPointers() [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate void LLM_Logging_Stop_Delegate(); - // Main lib - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Enable_Reasoning_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.I1)] bool enable_reasoning); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Apply_Template_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string messages_as_json); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Tokenize_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Detokenize_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string tokens_as_json); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Embeddings_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Completion_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string query, CharArrayCallback callback, int id_slot = -1, [MarshalAs(UnmanagedType.I1)] bool return_response_json = false); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Save_Slot_Delegate(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Load_Slot_Delegate(IntPtr llm, int id_slot, [MarshalAs(UnmanagedType.LPStr)] string filepath); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Cancel_Delegate(IntPtr llm, int idSlot); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate bool LLM_Lora_Weight_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string loras_as_json); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Lora_List_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Delete_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Start_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - [return : MarshalAs(UnmanagedType.I1)] - public delegate bool LLM_Started_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Stop_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Start_Server_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string host = "0.0.0.0", int port = -1, [MarshalAs(UnmanagedType.LPStr)] string apiKey = ""); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Stop_Server_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Join_Service_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Join_Server_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Set_SSL_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string sslCert, [MarshalAs(UnmanagedType.LPStr)] string sslKey); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate int LLM_Status_Code_Delegate(); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Status_Message_Delegate(); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate int LLM_Embedding_Size_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMService_Construct_Delegate( - [MarshalAs(UnmanagedType.LPStr)] string modelPath, - int numSlots = 1, - int numThreads = -1, - int numGpuLayers = 0, - [MarshalAs(UnmanagedType.I1)] bool flashAttention = false, - int contextSize = 4096, - int batchSize = 2048, - [MarshalAs(UnmanagedType.I1)] bool embeddingOnly = false, - int loraCount = 0, - IntPtr loraPaths = default); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMService_From_Command_Delegate([MarshalAs(UnmanagedType.LPStr)] string paramsString); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMService_Command_Delegate(IntPtr llm); - - // LLMClient functions - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMClient_Construct_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMClient_Construct_Remote_Delegate( - [MarshalAs(UnmanagedType.LPStr)] string url, int port, [MarshalAs(UnmanagedType.LPStr)] string apiKey = "", int numRetries = 5 - ); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMClient_Set_SSL_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string SSLCert); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate bool LLMClient_Is_Server_Alive_Delegate(IntPtr llm); - - // LLMAgent functions - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMAgent_Construct_Delegate(IntPtr llm, - [MarshalAs(UnmanagedType.LPStr)] string systemPrompt = "", - [MarshalAs(UnmanagedType.LPStr)] string userRole = "user", - [MarshalAs(UnmanagedType.LPStr)] string assistantRole = "assistant"); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Set_User_Role_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string userRole); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMAgent_Get_User_Role_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Set_Assistant_Role_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string assistantRole); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMAgent_Get_Assistant_Role_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Set_System_Prompt_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMAgent_Get_System_Prompt_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Set_Grammar_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string grammar); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Get_Grammar_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLM_Set_Completion_Parameters_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string parameters); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLM_Get_Completion_Parameters_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Set_Slot_Delegate(IntPtr llm, int slotId); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate int LLMAgent_Get_Slot_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMAgent_Chat_Delegate(IntPtr llm, - [MarshalAs(UnmanagedType.LPStr)] string userPrompt, - [MarshalAs(UnmanagedType.I1)] bool addToHistory = true, - CharArrayCallback callback = null, - [MarshalAs(UnmanagedType.I1)] bool returnResponseJson = false); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Clear_History_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMAgent_Get_History_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Set_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string historyJson); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, - [MarshalAs(UnmanagedType.LPStr)] string role, - [MarshalAs(UnmanagedType.LPStr)] string content); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Remove_Last_Message_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Save_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Load_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string filepath); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate int LLMAgent_Get_History_Size_Delegate(IntPtr llm); - - - // Function pointers for desktop platforms - // Runtime lib - public static Available_Architectures_Delegate Available_Architectures; - public static Has_GPU_Layers_Delegate Has_GPU_Layers; - - // Main lib public LLM_Debug_Delegate LLM_Debug; public LLM_Logging_Callback_Delegate LLM_Logging_Callback; public LLM_Logging_Stop_Delegate LLM_Logging_Stop; - public LLM_Enable_Reasoning_Delegate LLM_Enable_Reasoning; - public LLM_Apply_Template_Delegate LLM_Apply_Template; - public LLM_Tokenize_Delegate LLM_Tokenize; - public LLM_Detokenize_Delegate LLM_Detokenize; - public LLM_Embeddings_Delegate LLM_Embeddings; - public LLM_Completion_Delegate LLM_Completion; - public LLM_Save_Slot_Delegate LLM_Save_Slot; - public LLM_Load_Slot_Delegate LLM_Load_Slot; - public LLM_Cancel_Delegate LLM_Cancel; - public LLM_Lora_Weight_Delegate LLM_Lora_Weight; - public LLM_Lora_List_Delegate LLM_Lora_List; - public LLM_Delete_Delegate LLM_Delete; - public LLM_Start_Delegate LLM_Start; - public LLM_Started_Delegate LLM_Started; - public LLM_Stop_Delegate LLM_Stop; - public LLM_Start_Server_Delegate LLM_Start_Server; - public LLM_Stop_Server_Delegate LLM_Stop_Server; - public LLM_Join_Service_Delegate LLM_Join_Service; - public LLM_Join_Server_Delegate LLM_Join_Server; - public LLM_Set_SSL_Delegate LLM_Set_SSL; - public LLM_Status_Code_Delegate LLM_Status_Code; - public LLM_Status_Message_Delegate LLM_Status_Message; - public LLM_Embedding_Size_Delegate LLM_Embedding_Size; - public LLMService_Construct_Delegate LLMService_Construct; - public LLMService_From_Command_Delegate LLMService_From_Command; - public LLMService_Command_Delegate LLMService_Command; - public LLMClient_Construct_Delegate LLMClient_Construct; - public LLMClient_Construct_Remote_Delegate LLMClient_Construct_Remote; - public LLMClient_Set_SSL_Delegate LLMClient_Set_SSL; - public LLMClient_Is_Server_Alive_Delegate LLMClient_Is_Server_Alive; - public LLMAgent_Construct_Delegate LLMAgent_Construct; - public LLMAgent_Set_User_Role_Delegate LLMAgent_Set_User_Role; - public LLMAgent_Get_User_Role_Delegate LLMAgent_Get_User_Role; - public LLMAgent_Set_Assistant_Role_Delegate LLMAgent_Set_Assistant_Role; - public LLMAgent_Get_Assistant_Role_Delegate LLMAgent_Get_Assistant_Role; - public LLMAgent_Set_System_Prompt_Delegate LLMAgent_Set_System_Prompt; - public LLMAgent_Get_System_Prompt_Delegate LLMAgent_Get_System_Prompt; - public LLMAgent_Set_Slot_Delegate LLMAgent_Set_Slot; - public LLMAgent_Get_Slot_Delegate LLMAgent_Get_Slot; - public LLM_Set_Completion_Parameters_Delegate LLM_Set_Completion_Parameters; - public LLM_Get_Completion_Parameters_Delegate LLM_Get_Completion_Parameters; - public LLM_Set_Grammar_Delegate LLM_Set_Grammar; - public LLM_Get_Grammar_Delegate LLM_Get_Grammar; - public LLMAgent_Chat_Delegate LLMAgent_Chat; - public LLMAgent_Clear_History_Delegate LLMAgent_Clear_History; - public LLMAgent_Get_History_Delegate LLMAgent_Get_History; - public LLMAgent_Set_History_Delegate LLMAgent_Set_History; - public LLMAgent_Add_Message_Delegate LLMAgent_Add_Message; - public LLMAgent_Remove_Last_Message_Delegate LLMAgent_Remove_Last_Message; - public LLMAgent_Save_History_Delegate LLMAgent_Save_History; - public LLMAgent_Load_History_Delegate LLMAgent_Load_History; - public LLMAgent_Get_History_Size_Delegate LLMAgent_Get_History_Size; public static void Debug(int debugLevel) { From 2930ddd679fe5df6fd04d09de58ff89e7916622e Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Thu, 11 Dec 2025 16:44:26 +0200 Subject: [PATCH 51/69] try-catch in Chat --- Runtime/LLMAgent.cs | 29 ++++++++++++++++++----------- 1 file changed, 18 insertions(+), 11 deletions(-) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 2c9311a7..82158520 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -279,20 +279,27 @@ public virtual async Task Chat(string query, LlamaLib.CharArrayCallback EmptyCallback completionCallback = null, bool addToHistory = true) { await CheckCaller(); + string result = ""; + try + { + // Wrap callback to ensure it runs on the main thread + LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback, this); + SetCompletionParameters(); + result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback, returnResponseJson: debugPrompt); + if (debugPrompt) + { + CompletionResponseJson responseJson = JsonUtility.FromJson(result); + LLMUnitySetup.Log(responseJson.prompt); + result = responseJson.content; + } - // Wrap callback to ensure it runs on the main thread - LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback, this); - SetCompletionParameters(); - string result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback, returnResponseJson: debugPrompt); - if (debugPrompt) + if (addToHistory && result != null && save != "") _ = SaveHistory(); + completionCallback?.Invoke(); + } + catch (Exception ex) { - CompletionResponseJson responseJson = JsonUtility.FromJson(result); - LLMUnitySetup.Log(responseJson.prompt); - result = responseJson.content; + LLMUnitySetup.LogError(ex.Message, true); } - - if (addToHistory && result != null && save != "") _ = SaveHistory(); - completionCallback?.Invoke(); return result; } From 95f000d10fd97045ba3b6676d160a2110bb99d1e Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Thu, 11 Dec 2025 23:48:29 +0200 Subject: [PATCH 52/69] update LlamaLib --- Runtime/LlamaLib/LLMAgent.cs | 48 ++------------------ Runtime/LlamaLib/LlamaLib.cs | 85 ++++++++++-------------------------- 2 files changed, 25 insertions(+), 108 deletions(-) diff --git a/Runtime/LlamaLib/LLMAgent.cs b/Runtime/LlamaLib/LLMAgent.cs index 4f12eb03..619678d7 100644 --- a/Runtime/LlamaLib/LLMAgent.cs +++ b/Runtime/LlamaLib/LLMAgent.cs @@ -75,10 +75,7 @@ public LLMAgent(LLMLocal _llm, string _systemPrompt = "", string _userRole = "us llmBase = _llm; llamaLib = llmBase.llamaLib; - llm = llamaLib.LLMAgent_Construct(llmBase.llm, - _systemPrompt ?? string.Empty, - _userRole ?? "user", - _assistantRole ?? "assistant"); + llm = llamaLib.LLMAgent_Construct(llmBase.llm, _systemPrompt ?? string.Empty); if (llm == IntPtr.Zero) throw new InvalidOperationException("Failed to create LLMAgent"); } @@ -97,34 +94,6 @@ public int SlotId } } - public string UserRole - { - get - { - CheckLlamaLib(); - return Marshal.PtrToStringAnsi(llamaLib.LLMAgent_Get_User_Role(llm)) ?? ""; - } - set - { - CheckLlamaLib(); - llamaLib.LLMAgent_Set_User_Role(llm, value ?? string.Empty); - } - } - - public string AssistantRole - { - get - { - CheckLlamaLib(); - return Marshal.PtrToStringAnsi(llamaLib.LLMAgent_Get_Assistant_Role(llm)) ?? ""; - } - set - { - CheckLlamaLib(); - llamaLib.LLMAgent_Set_Assistant_Role(llm, value ?? string.Empty); - } - } - public string SystemPrompt { get @@ -203,27 +172,16 @@ public void ClearHistory() llamaLib.LLMAgent_Clear_History(llm); } - public void AddMessage(string role, string content) - { - CheckLlamaLib(); - llamaLib.LLMAgent_Add_Message(llm, role ?? string.Empty, content ?? string.Empty); - } - public void AddUserMessage(string content) { CheckLlamaLib(); - llamaLib.LLMAgent_Add_Message(llm, UserRole, content ?? string.Empty); + llamaLib.LLMAgent_Add_User_Message(llm, content ?? string.Empty); } public void AddAssistantMessage(string content) { CheckLlamaLib(); - llamaLib.LLMAgent_Add_Message(llm, AssistantRole, content ?? string.Empty); - } - - public void AddMessage(ChatMessage message) - { - AddMessage(message.role, message.content); + llamaLib.LLMAgent_Add_Assistant_Message(llm, content ?? string.Empty); } public void RemoveLastMessage() diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index ea6c85b7..87fd835f 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -120,22 +120,7 @@ public delegate IntPtr LLMClient_Construct_Remote_Delegate( // LLMAgent functions [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMAgent_Construct_Delegate(IntPtr llm, - [MarshalAs(UnmanagedType.LPStr)] string systemPrompt = "", - [MarshalAs(UnmanagedType.LPStr)] string userRole = "user", - [MarshalAs(UnmanagedType.LPStr)] string assistantRole = "assistant"); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Set_User_Role_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string userRole); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMAgent_Get_User_Role_Delegate(IntPtr llm); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Set_Assistant_Role_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string assistantRole); - - [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate IntPtr LLMAgent_Get_Assistant_Role_Delegate(IntPtr llm); + public delegate IntPtr LLMAgent_Construct_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt = ""); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate void LLMAgent_Set_System_Prompt_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt); @@ -178,9 +163,10 @@ public delegate IntPtr LLMAgent_Chat_Delegate(IntPtr llm, public delegate void LLMAgent_Set_History_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string historyJson); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] - public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, - [MarshalAs(UnmanagedType.LPStr)] string role, - [MarshalAs(UnmanagedType.LPStr)] string content); + public delegate void LLMAgent_Add_User_Message_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string content); + + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void LLMAgent_Add_Assistant_Message_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string content); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate void LLMAgent_Remove_Last_Message_Delegate(IntPtr llm); @@ -228,10 +214,6 @@ public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, public LLMClient_Set_SSL_Delegate LLMClient_Set_SSL_Internal; public LLMClient_Is_Server_Alive_Delegate LLMClient_Is_Server_Alive_Internal; public LLMAgent_Construct_Delegate LLMAgent_Construct_Internal; - public LLMAgent_Set_User_Role_Delegate LLMAgent_Set_User_Role_Internal; - public LLMAgent_Get_User_Role_Delegate LLMAgent_Get_User_Role_Internal; - public LLMAgent_Set_Assistant_Role_Delegate LLMAgent_Set_Assistant_Role_Internal; - public LLMAgent_Get_Assistant_Role_Delegate LLMAgent_Get_Assistant_Role_Internal; public LLMAgent_Set_System_Prompt_Delegate LLMAgent_Set_System_Prompt_Internal; public LLMAgent_Get_System_Prompt_Delegate LLMAgent_Get_System_Prompt_Internal; public LLMAgent_Set_Slot_Delegate LLMAgent_Set_Slot_Internal; @@ -244,7 +226,8 @@ public delegate void LLMAgent_Add_Message_Delegate(IntPtr llm, public LLMAgent_Clear_History_Delegate LLMAgent_Clear_History_Internal; public LLMAgent_Get_History_Delegate LLMAgent_Get_History_Internal; public LLMAgent_Set_History_Delegate LLMAgent_Set_History_Internal; - public LLMAgent_Add_Message_Delegate LLMAgent_Add_Message_Internal; + public LLMAgent_Add_User_Message_Delegate LLMAgent_Add_User_Message_Internal; + public LLMAgent_Add_Assistant_Message_Delegate LLMAgent_Add_Assistant_Message_Internal; public LLMAgent_Remove_Last_Message_Delegate LLMAgent_Remove_Last_Message_Internal; public LLMAgent_Save_History_Delegate LLMAgent_Save_History_Internal; public LLMAgent_Load_History_Delegate LLMAgent_Load_History_Internal; @@ -322,13 +305,8 @@ public IntPtr LLMService_Construct( public IntPtr LLMClient_Construct_Remote(string url, int port, string apiKey = "", int numRetries = 5) => CallWithStatus(() => LLMClient_Construct_Remote_Internal(url, port, apiKey, numRetries)); public void LLMClient_Set_SSL(IntPtr llm, string SSLCert) => CallWithStatus(() => LLMClient_Set_SSL_Internal(llm, SSLCert)); public bool LLMClient_Is_Server_Alive(IntPtr llm) => CallWithStatus(() => LLMClient_Is_Server_Alive_Internal(llm)); - public IntPtr LLMAgent_Construct(IntPtr llm, string systemPrompt = "", string userRole = "user", string assistantRole = "assistant") - => CallWithStatus(() => LLMAgent_Construct_Internal(llm, systemPrompt, userRole, assistantRole)); - public void LLMAgent_Set_User_Role(IntPtr llm, string userRole) => CallWithStatus(() => LLMAgent_Set_User_Role_Internal(llm, userRole)); - public IntPtr LLMAgent_Get_User_Role(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_User_Role_Internal(llm)); - public void LLMAgent_Set_Assistant_Role(IntPtr llm, string assistantRole) => CallWithStatus(() => LLMAgent_Set_Assistant_Role_Internal(llm, assistantRole)); - public IntPtr LLMAgent_Get_Assistant_Role(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_Assistant_Role_Internal(llm)); - public void LLMAgent_Set_System_Prompt(IntPtr llm, string systemPrompt) => CallWithStatus(() => LLMAgent_Set_System_Prompt_Internal(llm, systemPrompt)); + public IntPtr LLMAgent_Construct(IntPtr llm, string systemPrompt = "") => CallWithStatus(() => LLMAgent_Construct_Internal(llm, systemPrompt)); + public void LLMAgent_Set_System_Prompt(IntPtr llm, string systemPrompt) => CallWithStatus(() => LLMAgent_Set_System_Prompt_Internal(llm, systemPrompt)); public IntPtr LLMAgent_Get_System_Prompt(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_System_Prompt_Internal(llm)); public void LLM_Set_Completion_Parameters(IntPtr llm, string parameters) => CallWithStatus(() => LLM_Set_Completion_Parameters_Internal(llm, parameters)); public IntPtr LLM_Get_Completion_Parameters(IntPtr llm) => CallWithStatus(() => LLM_Get_Completion_Parameters_Internal(llm)); @@ -341,7 +319,8 @@ public IntPtr LLMAgent_Chat(IntPtr llm, string userPrompt, bool addToHistory = t public void LLMAgent_Clear_History(IntPtr llm) => CallWithStatus(() => LLMAgent_Clear_History_Internal(llm)); public IntPtr LLMAgent_Get_History(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_History_Internal(llm)); public void LLMAgent_Set_History(IntPtr llm, string historyJson) => CallWithStatus(() => LLMAgent_Set_History_Internal(llm, historyJson)); - public void LLMAgent_Add_Message(IntPtr llm, string role, string content) => CallWithStatus(() => LLMAgent_Add_Message_Internal(llm, role, content)); + public void LLMAgent_Add_User_Message(IntPtr llm, string content) => CallWithStatus(() => LLMAgent_Add_User_Message_Internal(llm, content)); + public void LLMAgent_Add_Assistant_Message(IntPtr llm, string content) => CallWithStatus(() => LLMAgent_Add_Assistant_Message_Internal(llm, content)); public void LLMAgent_Remove_Last_Message(IntPtr llm) => CallWithStatus(() => LLMAgent_Remove_Last_Message_Internal(llm)); public void LLMAgent_Save_History(IntPtr llm, string filepath) => CallWithStatus(() => LLMAgent_Save_History_Internal(llm, filepath)); public void LLMAgent_Load_History(IntPtr llm, string filepath) => CallWithStatus(() => LLMAgent_Load_History_Internal(llm, filepath)); @@ -489,22 +468,7 @@ public static extern IntPtr LLMClient_Construct_Remote_Static( // LLMAgent functions [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Construct")] - public static extern IntPtr LLMAgent_Construct_Static(IntPtr llm, - [MarshalAs(UnmanagedType.LPStr)] string systemPrompt = "", - [MarshalAs(UnmanagedType.LPStr)] string userRole = "user", - [MarshalAs(UnmanagedType.LPStr)] string assistantRole = "assistant"); - - [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_User_Role")] - public static extern void LLMAgent_Set_User_Role_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string userRole); - - [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_User_Role")] - public static extern IntPtr LLMAgent_Get_User_Role_Static(IntPtr llm); - - [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_Assistant_Role")] - public static extern void LLMAgent_Set_Assistant_Role_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string assistantRole); - - [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_Assistant_Role")] - public static extern IntPtr LLMAgent_Get_Assistant_Role_Static(IntPtr llm); + public static extern IntPtr LLMAgent_Construct_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt = ""); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_System_Prompt")] public static extern void LLMAgent_Set_System_Prompt_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string systemPrompt); @@ -546,10 +510,11 @@ public static extern IntPtr LLMAgent_Chat_Static(IntPtr llm, [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Set_History")] public static extern void LLMAgent_Set_History_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string historyJson); - [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Add_Message")] - public static extern void LLMAgent_Add_Message_Static(IntPtr llm, - [MarshalAs(UnmanagedType.LPStr)] string role, - [MarshalAs(UnmanagedType.LPStr)] string content); + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Add_User_Message")] + public static extern void LLMAgent_Add_User_Message_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string content); + + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Add_Assistant_Message")] + public static extern void LLMAgent_Add_Assistant_Message_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string content); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Remove_Last_Message")] public static extern void LLMAgent_Remove_Last_Message_Static(IntPtr llm); @@ -605,11 +570,7 @@ public LlamaLib(bool gpu = false) LLMClient_Construct_Remote_Internal = (url, port, apiKey, numRetries) => LLMClient_Construct_Remote_Static(url, port, apiKey, numRetries); LLMClient_Set_SSL_Internal = (llm, SSLCert) => LLMClient_Set_SSL_Static(llm, SSLCert); LLMClient_Is_Server_Alive_Internal = (llm) => LLMClient_Is_Server_Alive_Static(llm); - LLMAgent_Construct_Internal = (llm, systemPrompt, userRole, assistantRole) => LLMAgent_Construct_Static(llm, systemPrompt, userRole, assistantRole); - LLMAgent_Set_User_Role_Internal = (llm, userRole) => LLMAgent_Set_User_Role_Static(llm, userRole); - LLMAgent_Get_User_Role_Internal = (llm) => LLMAgent_Get_User_Role_Static(llm); - LLMAgent_Set_Assistant_Role_Internal = (llm, assistantRole) => LLMAgent_Set_Assistant_Role_Static(llm, assistantRole); - LLMAgent_Get_Assistant_Role_Internal = (llm) => LLMAgent_Get_Assistant_Role_Static(llm); + LLMAgent_Construct_Internal = (llm, systemPrompt) => LLMAgent_Construct_Static(llm, systemPrompt); LLMAgent_Set_System_Prompt_Internal = (llm, systemPrompt) => LLMAgent_Set_System_Prompt_Static(llm, systemPrompt); LLMAgent_Get_System_Prompt_Internal = (llm) => LLMAgent_Get_System_Prompt_Static(llm); LLM_Set_Completion_Parameters_Internal = (llm, parameters) => LLM_Set_Completion_Parameters_Static(llm, parameters); @@ -622,7 +583,8 @@ public LlamaLib(bool gpu = false) LLMAgent_Clear_History_Internal = (llm) => LLMAgent_Clear_History_Static(llm); LLMAgent_Get_History_Internal = (llm) => LLMAgent_Get_History_Static(llm); LLMAgent_Set_History_Internal = (llm, historyJson) => LLMAgent_Set_History_Static(llm, historyJson); - LLMAgent_Add_Message_Internal = (llm, role, content) => LLMAgent_Add_Message_Static(llm, role, content); + LLMAgent_Add_User_Message_Internal = (llm, content) => LLMAgent_Add_User_Message_Static(llm, content); + LLMAgent_Add_Assistant_Message_Internal = (llm, content) => LLMAgent_Add_Assistant_Message_Static(llm, content); LLMAgent_Remove_Last_Message_Internal = (llm) => LLMAgent_Remove_Last_Message_Static(llm); LLMAgent_Save_History_Internal = (llm, filepath) => LLMAgent_Save_History_Static(llm, filepath); LLMAgent_Load_History_Internal = (llm, filepath) => LLMAgent_Load_History_Static(llm, filepath); @@ -814,10 +776,6 @@ private void LoadFunctionPointers() LLMClient_Set_SSL_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Set_SSL"); LLMClient_Is_Server_Alive_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Is_Server_Alive"); LLMAgent_Construct_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Construct"); - LLMAgent_Set_User_Role_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_User_Role"); - LLMAgent_Get_User_Role_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_User_Role"); - LLMAgent_Set_Assistant_Role_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_Assistant_Role"); - LLMAgent_Get_Assistant_Role_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_Assistant_Role"); LLMAgent_Set_System_Prompt_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_System_Prompt"); LLMAgent_Get_System_Prompt_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_System_Prompt"); LLMAgent_Set_Slot_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_Slot"); @@ -830,7 +788,8 @@ private void LoadFunctionPointers() LLMAgent_Clear_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Clear_History"); LLMAgent_Get_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Get_History"); LLMAgent_Set_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Set_History"); - LLMAgent_Add_Message_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Add_Message"); + LLMAgent_Add_User_Message_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Add_User_Message"); + LLMAgent_Add_Assistant_Message_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Add_Assistant_Message"); LLMAgent_Remove_Last_Message_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Remove_Last_Message"); LLMAgent_Save_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Save_History"); LLMAgent_Load_History_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMAgent_Load_History"); From bcd67aa3e2ab8cfc1aab5e385abfc9f4dad0fbd0 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Thu, 11 Dec 2025 23:49:48 +0200 Subject: [PATCH 53/69] remove user and assistant roles --- Runtime/LLMAgent.cs | 47 +---------------------------------------- Runtime/LLMCharacter.cs | 10 --------- 2 files changed, 1 insertion(+), 56 deletions(-) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 82158520..c8cef607 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -31,12 +31,6 @@ public class LLMAgent : LLMClient /// Server slot to use for processing (affects caching behavior) [ModelAdvanced, SerializeField] protected int _slot = -1; - /// Role name for user messages in conversation - [Chat, SerializeField] protected string _userRole = "user"; - - /// Role name for AI assistant messages in conversation - [Chat, SerializeField] protected string _assistantRole = "assistant"; - /// System prompt that defines the AI's personality and behavior [TextArea(5, 10), Chat, SerializeField] protected string _systemPrompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions."; @@ -57,34 +51,6 @@ public int slot } } - /// Role identifier for user messages - public string userRole - { - get => _userRole; - set - { - if (_userRole != value) - { - _userRole = value; - if (llmAgent != null) llmAgent.UserRole = _userRole; - } - } - } - - /// Role identifier for assistant messages - public string assistantRole - { - get => _assistantRole; - set - { - if (_assistantRole != value) - { - _assistantRole = value; - if (llmAgent != null) llmAgent.AssistantRole = _assistantRole; - } - } - } - /// System prompt defining the agent's behavior and personality public string systemPrompt { @@ -142,7 +108,7 @@ protected override async Task SetupCallerObject() string exceptionMessage = ""; try { - llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, systemPrompt, userRole, assistantRole); + llmAgent = new UndreamAI.LlamaLib.LLMAgent(llmClient, systemPrompt); } catch (Exception ex) { @@ -224,17 +190,6 @@ public virtual async Task ClearHistory() llmAgent.ClearHistory(); } - /// - /// Adds a message with a specific role to the conversation history. - /// - /// Message role (e.g., userRole, assistantRole, or custom role) - /// Message content - public virtual async Task AddMessage(string role, string content) - { - await CheckCaller(); - llmAgent.AddMessage(role, content); - } - /// /// Adds a user message to the conversation history. /// diff --git a/Runtime/LLMCharacter.cs b/Runtime/LLMCharacter.cs index 2025e952..0150e1f9 100644 --- a/Runtime/LLMCharacter.cs +++ b/Runtime/LLMCharacter.cs @@ -4,16 +4,6 @@ namespace LLMUnity { public class LLMCharacter : LLMAgent { - public string playerName - { - get { return userRole; } - set { userRole = value; } - } - public string AIName - { - get { return assistantRole; } - set { assistantRole = value; } - } public string prompt { get { return systemPrompt; } From 7857ebd71584b9739b34a84cf8e82ba356a8e8d8 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Fri, 18 Jul 2025 00:44:40 +0300 Subject: [PATCH 54/69] fix usearch for iOS --- Runtime/RAG/usearch/NativeMethods.cs | 4 ++++ Runtime/RAG/usearch/USearchIndex.cs | 13 +++---------- 2 files changed, 7 insertions(+), 10 deletions(-) diff --git a/Runtime/RAG/usearch/NativeMethods.cs b/Runtime/RAG/usearch/NativeMethods.cs index 34ba5898..9f38f04f 100644 --- a/Runtime/RAG/usearch/NativeMethods.cs +++ b/Runtime/RAG/usearch/NativeMethods.cs @@ -11,7 +11,11 @@ namespace Cloud.Unum.USearch { public static class NativeMethods { +#if UNITY_IOS + private const string LibraryName = "__Internal"; +#else private const string LibraryName = "libusearch_c"; +#endif [DllImport(LibraryName, CallingConvention = CallingConvention.Cdecl)] public static extern usearch_index_t usearch_init(ref IndexOptions options, out usearch_error_t error); diff --git a/Runtime/RAG/usearch/USearchIndex.cs b/Runtime/RAG/usearch/USearchIndex.cs index 9c9b39c4..9603e8ac 100644 --- a/Runtime/RAG/usearch/USearchIndex.cs +++ b/Runtime/RAG/usearch/USearchIndex.cs @@ -318,17 +318,10 @@ private int Search(T[] queryVector, int count, out ulong[] keys, out float[] } else { - if (Application.platform == RuntimePlatform.Android) + lock (filterLock) { - lock (filterLock) - { - FilterFunction = filter; - matches = checked((int)usearch_filtered_search(this._index, queryVectorPtr, scalarKind, (UIntPtr)count, StaticFilter, IntPtr.Zero, keys, distances, out error)); - } - } - else - { - matches = checked((int)usearch_filtered_search(this._index, queryVectorPtr, scalarKind, (UIntPtr)count, (int key, IntPtr state) => filter(key), IntPtr.Zero, keys, distances, out error)); + FilterFunction = filter; + matches = checked((int)usearch_filtered_search(this._index, queryVectorPtr, scalarKind, (UIntPtr)count, StaticFilter, IntPtr.Zero, keys, distances, out error)); } } HandleError(error); From 1e4aa405ae80eac8610c33d9d636e653c57b31da Mon Sep 17 00:00:00 2001 From: amakropoulos Date: Fri, 12 Dec 2025 15:33:16 +0000 Subject: [PATCH 55/69] update tooltips --- Runtime/LLM.cs | 1 + 1 file changed, 1 insertion(+) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index 8e5ca828..cc077618 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -273,6 +273,7 @@ public string SSLKey public LLMService llmService { get; private set; } /// Model architecture name (e.g., "llama", "mistral") + [Tooltip("Model architecture name (e.g., "llama", "mistral")")] public string architecture => llmlib?.architecture; /// True if this model only supports embeddings (no text generation) From b5900c8e79d71639c52922c68656a718595adc0d Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Fri, 12 Dec 2025 15:30:06 +0200 Subject: [PATCH 56/69] update tests --- .../KnowledgeBaseGame/KnowledgeBaseGame.cs | 3 -- Tests/Runtime/TestLLM.cs | 32 +++++++++---------- 2 files changed, 16 insertions(+), 19 deletions(-) diff --git a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs index 4a6856ce..5f579827 100644 --- a/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs +++ b/Samples~/KnowledgeBaseGame/KnowledgeBaseGame.cs @@ -133,9 +133,6 @@ protected override void DropdownChange(int selection) currentBotName = CharacterSelect.options[selection].text; botImages[currentBotName].gameObject.SetActive(true); Debug.Log($"{currentBotName}: {rag.Count(currentBotName)} phrases available"); - - // set the LLMAgent name - llmAgent.assistantRole = currentBotName; } void SetAIText(string text) diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 44f8cdb5..226d9ee0 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -153,6 +153,7 @@ public virtual async Task Init() gameObject.SetActive(false); llm = CreateLLM(); llmAgent = CreateLLMAgent(); + llmAgent.temperature = 0; gameObject.SetActive(true); } @@ -161,8 +162,8 @@ public virtual void SetParameters() prompt = "You are a scientific assistant and provide short and concise info on the user questions"; prompt2 = "You are a funny assistant and answer the user questions with smartass comments"; query = "Can you tell me some fun fact about ants in one sentence?"; - reply1 = "Sure! Ants are known for their incredible teamwork, often working together to build complex structures like nests."; - reply2 = "Of course! Ants are so smart and hardworking that they can build intricate nests with just a few workers."; + reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, which is a fascinating example of teamwork."; + reply2 = "Of course! Ants are the most intelligent insects on Earth—working in perfect harmony to build their homes and solve problems."; tokens1 = 20; tokens2 = 9; } @@ -245,8 +246,6 @@ public virtual LLMAgent CreateLLMAgent() { LLMAgent llmAgent = gameObject.AddComponent(); llmAgent.llm = llm; - llmAgent.userRole = "User"; - llmAgent.assistantRole = "Assistant"; llmAgent.systemPrompt = prompt; llmAgent.temperature = 0; llmAgent.seed = 0; @@ -328,7 +327,7 @@ public void TestChat(string reply, string replyGT) var commonWords = words1.Intersect(words2).Count(); var totalWords = Math.Max(words1.Length, words2.Length); - Assert.That((double)commonWords / totalWords >= 0.7); + Assert.That((double)commonWords / totalWords >= 0.5); } public void TestPostChat(int num) @@ -417,8 +416,8 @@ public override LLM CreateLLM() public override void SetParameters() { base.SetParameters(); - reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't speak."; - reply2 = "Of course! Ants are so sneaky and efficient that they can build a house in just a few days without any help from humans."; + reply1 = "Ants are known for their ability to build complex structures, though it's not always obvious."; + reply2 = "Ants are known for their incredible teamwork and ability to create intricate structures like nests!"; tokens1 = 5; tokens2 = 9; loraWeight = 0.9f; @@ -479,12 +478,6 @@ public override LLMAgent CreateLLMAgent() llmAgent.remote = true; return llmAgent; } - - public override void SetParameters() - { - base.SetParameters(); - reply2 = "Of course! Ants are so smart—they can remember the location of food sources and even solve problems without words."; - } } public class TestLLM_Double : TestLLM @@ -534,9 +527,9 @@ public void TestSave() List chatHistory = JsonUtility.FromJson("{ \"chat\": " + json + " }").chat; Assert.AreEqual(chatHistory.Count, 2); - Assert.AreEqual(chatHistory[0].role, llmAgent.userRole); + Assert.AreEqual(chatHistory[0].role, "user"); Assert.AreEqual(chatHistory[0].content, "bye!"); - Assert.AreEqual(chatHistory[1].role, llmAgent.assistantRole); + Assert.AreEqual(chatHistory[1].role, "assistant"); Assert.AreEqual(llmAgent.chat.Count, chatHistory.Count); for (int i = 0; i < chatHistory.Count; i++) @@ -566,6 +559,12 @@ public override void TestArchitecture() public class TestLLM_cuBLAS : TestLLM_tinyBLAS { + public override void SetParameters() + { + base.SetParameters(); + reply2 = "Of course! Ants are the most intelligent insects on Earth—though they don’t understand humans."; + } + public override void TestArchitecture() { Assert.That(llm.architecture.Contains("cublas")); @@ -584,7 +583,8 @@ public override LLM CreateLLM() public override void SetParameters() { base.SetParameters(); - reply1 = "Sure! Ants are known for their incredible teamwork, often working together to build complex structures like nests."; + reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have a brain."; + reply2 = "Of course! Here’s a fun fact: Ants are the most intelligent insects on Earth—though they’re not really smart, they’ve got a lot of teamwork and problem-solving skills."; } } } From c536a627fe9c7d234bd4c5357b77c70596ca0ad5 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 16 Dec 2025 15:09:48 +0200 Subject: [PATCH 57/69] implement changes for IL2CPP --- Editor/LLMEditor.cs | 2 +- Runtime/IL2CPP.cs | 65 ++++++++++++++++++++++++++++++++++++ Runtime/IL2CPP.cs.meta | 11 ++++++ Runtime/LLM.cs | 6 +++- Runtime/LLMAgent.cs | 23 +++++++++---- Runtime/LLMClient.cs | 24 +++++++++---- Runtime/LLMManager.cs | 6 ++-- Runtime/LLMUnitySetup.cs | 18 ++++------ Runtime/LLMUtils.cs | 19 +++++++++-- Runtime/RAG/Search.cs | 4 +-- Runtime/ResumingWebClient.cs | 6 ++-- Samples~/ChatBot/Bubble.cs | 9 +++-- 12 files changed, 152 insertions(+), 41 deletions(-) create mode 100644 Runtime/IL2CPP.cs create mode 100644 Runtime/IL2CPP.cs.meta diff --git a/Editor/LLMEditor.cs b/Editor/LLMEditor.cs index c031b077..a0617d53 100644 --- a/Editor/LLMEditor.cs +++ b/Editor/LLMEditor.cs @@ -31,7 +31,7 @@ public class LLMEditor : PropertyEditor public void AddSecuritySettings(SerializedObject llmScriptSO, LLM llmScript) { - void AddSSLLoad(string type, Callback setterCallback) + void AddSSLLoad(string type, Action setterCallback) { if (GUILayout.Button("Load SSL " + type, GUILayout.Width(buttonWidth))) { diff --git a/Runtime/IL2CPP.cs b/Runtime/IL2CPP.cs new file mode 100644 index 00000000..d02cfbf1 --- /dev/null +++ b/Runtime/IL2CPP.cs @@ -0,0 +1,65 @@ +#if ENABLE_IL2CPP +using System; +using System.Runtime.InteropServices; +using AOT; +using UndreamAI.LlamaLib; + +namespace LLMUnity +{ + public class IL2CPP_Logging + { + private static Action onLogging; + private static LlamaLib.CharArrayCallback nativeLoggingThunk; + + public static void LoggingCallback(Action callback) + { + onLogging = callback; + if (nativeLoggingThunk == null) + { + nativeLoggingThunk = LoggingThunkImpl; + LlamaLib.LoggingCallback(nativeLoggingThunk); + } + } + + [MonoPInvokeCallback(typeof(LlamaLib.CharArrayCallback))] + private static void LoggingThunkImpl(IntPtr msg) + { + if (onLogging == null || msg == IntPtr.Zero) + return; + try + { + onLogging(Marshal.PtrToStringUTF8(msg)); + } + catch {} + } + } + + public class IL2CPP_Completion + { + private static Action onCompletion; + private static LlamaLib.CharArrayCallback nativeCompletionThunk; + + public static LlamaLib.CharArrayCallback CreateCallback(Action callback) + { + onCompletion = callback; + if (nativeCompletionThunk == null) + { + nativeCompletionThunk = CompletionThunkImpl; + } + return nativeCompletionThunk; + } + + [MonoPInvokeCallback(typeof(LlamaLib.CharArrayCallback))] + private static void CompletionThunkImpl(IntPtr msg) + { + if (onCompletion == null || msg == IntPtr.Zero) + return; + try + { + onCompletion(Marshal.PtrToStringUTF8(msg)); + } + catch {} + } + } +} +#endif diff --git a/Runtime/IL2CPP.cs.meta b/Runtime/IL2CPP.cs.meta new file mode 100644 index 00000000..03f29d0c --- /dev/null +++ b/Runtime/IL2CPP.cs.meta @@ -0,0 +1,11 @@ +fileFormatVersion: 2 +guid: ead93fb64def342459157a5bf521df71 +MonoImporter: + externalObjects: {} + serializedVersion: 2 + defaultReferences: [] + executionOrder: 0 + icon: {instanceID: 0} + userData: + assetBundleName: + assetBundleVariant: diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index cc077618..401c704b 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -429,7 +429,11 @@ private void CreateLib() if (LLMUnitySetup.DebugMode <= LLMUnitySetup.DebugModeType.All) { LlamaLib.Debug(LLMUnitySetup.DebugModeType.All - LLMUnitySetup.DebugMode + 1); +#if ENABLE_IL2CPP + IL2CPP_Logging.LoggingCallback(LLMUnitySetup.Log); +#else LlamaLib.LoggingCallback(LLMUnitySetup.Log); +#endif } } @@ -516,7 +520,7 @@ public async Task WaitUntilReady() ///
/// Optional callback for download progress updates /// True if setup succeeded, false if it failed - public static async Task WaitUntilModelSetup(Callback downloadProgressCallback = null) + public static async Task WaitUntilModelSetup(Action downloadProgressCallback = null) { if (downloadProgressCallback != null) { diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index c8cef607..314dbada 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -230,15 +230,26 @@ public class CompletionResponseJson /// Optional callback when response is complete /// Whether to add the exchange to conversation history /// Task that returns the AI assistant's response - public virtual async Task Chat(string query, LlamaLib.CharArrayCallback callback = null, - EmptyCallback completionCallback = null, bool addToHistory = true) + public virtual async Task Chat(string query, Action callback = null, + Action completionCallback = null, bool addToHistory = true) { await CheckCaller(); string result = ""; try { - // Wrap callback to ensure it runs on the main thread - LlamaLib.CharArrayCallback wrappedCallback = Utils.WrapCallbackForAsync(callback, this); + LlamaLib.CharArrayCallback wrappedCallback = null; + if (callback != null) + { +#if ENABLE_IL2CPP + // For IL2CPP: wrap to IntPtr callback, then wrap for main thread + Action mainThreadCallback = Utils.WrapActionForMainThread(callback, this); + wrappedCallback = IL2CPP_Completion.CreateCallback(mainThreadCallback); +#else + // For Mono: direct callback wrapping + wrappedCallback = Utils.WrapCallbackForAsync(callback, this); +#endif + } + SetCompletionParameters(); result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback, returnResponseJson: debugPrompt); if (debugPrompt) @@ -264,7 +275,7 @@ public virtual async Task Chat(string query, LlamaLib.CharArrayCallback /// /// Optional callback when warmup completes /// Task that completes when warmup finishes - public virtual async Task Warmup(EmptyCallback completionCallback = null) + public virtual async Task Warmup(Action completionCallback = null) { await Warmup(null, completionCallback); } @@ -276,7 +287,7 @@ public virtual async Task Warmup(EmptyCallback completionCallback = null) /// Warmup prompt (not added to history) /// Optional callback when warmup completes /// Task that completes when warmup finishes - public virtual async Task Warmup(string query, EmptyCallback completionCallback = null) + public virtual async Task Warmup(string query, Action completionCallback = null) { int originalNumPredict = numPredict; try diff --git a/Runtime/LLMClient.cs b/Runtime/LLMClient.cs index 38298a9a..98c3d4ae 100644 --- a/Runtime/LLMClient.cs +++ b/Runtime/LLMClient.cs @@ -500,7 +500,7 @@ protected virtual void SetCompletionParameters() /// Text to tokenize /// Optional callback to receive the result /// List of token IDs - public virtual async Task> Tokenize(string query, Callback> callback = null) + public virtual async Task> Tokenize(string query, Action> callback = null) { if (string.IsNullOrEmpty(query)) { @@ -519,7 +519,7 @@ public virtual async Task> Tokenize(string query, Callback> /// Token IDs to decode /// Optional callback to receive the result /// Decoded text - public virtual async Task Detokenize(List tokens, Callback callback = null) + public virtual async Task Detokenize(List tokens, Action callback = null) { if (tokens == null) { @@ -538,7 +538,7 @@ public virtual async Task Detokenize(List tokens, Callback /// Text to embed /// Optional callback to receive the result /// Embedding vector - public virtual async Task> Embeddings(string query, Callback> callback = null) + public virtual async Task> Embeddings(string query, Action> callback = null) { if (string.IsNullOrEmpty(query)) { @@ -559,12 +559,24 @@ public virtual async Task> Embeddings(string query, CallbackOptional callback when completion finishes /// Slot ID for the request (-1 for auto-assignment) /// Task that returns the generated completion text - public virtual async Task Completion(string prompt, LlamaLib.CharArrayCallback callback = null, - EmptyCallback completionCallback = null, int id_slot = -1) + public virtual async Task Completion(string prompt, Action callback = null, + Action completionCallback = null, int id_slot = -1) { await CheckCaller(); + + LlamaLib.CharArrayCallback wrappedCallback = null; + if (callback != null) + { +#if ENABLE_IL2CPP + Action mainThreadCallback = Utils.WrapActionForMainThread(callback, this); + wrappedCallback = IL2CPP_Completion.CreateCallback(mainThreadCallback); +#else + wrappedCallback = Utils.WrapCallbackForAsync(callback, this); +#endif + } + SetCompletionParameters(); - string result = await llmClient.CompletionAsync(prompt, callback, id_slot); + string result = await llmClient.CompletionAsync(prompt, wrappedCallback, id_slot); completionCallback?.Invoke(); return result; } diff --git a/Runtime/LLMManager.cs b/Runtime/LLMManager.cs index 98813062..2f3c9d05 100644 --- a/Runtime/LLMManager.cs +++ b/Runtime/LLMManager.cs @@ -110,7 +110,7 @@ public class LLMManager static List llms = new List(); public static float downloadProgress = 1; - public static List> downloadProgressCallbacks = new List>(); + public static List> downloadProgressCallbacks = new List>(); static Task SetupTask; static readonly object lockObject = new object(); static long totalSize; @@ -124,7 +124,7 @@ public class LLMManager public static void SetDownloadProgress(float progress) { downloadProgress = (completedSize + progress * currFileSize) / totalSize; - foreach (Callback downloadProgressCallback in downloadProgressCallbacks) downloadProgressCallback?.Invoke(downloadProgress); + foreach (Action downloadProgressCallback in downloadProgressCallbacks) downloadProgressCallback?.Invoke(downloadProgress); } /// @@ -626,7 +626,7 @@ public static void SaveToDisk() /// Saves the model manager to disk along with models that are not (or can't) be downloaded for the build /// /// copy function - public static void Build(ActionCallback copyCallback) + public static void Build(Action copyCallback) { SaveToDisk(); diff --git a/Runtime/LLMUnitySetup.cs b/Runtime/LLMUnitySetup.cs index e93d9f79..83aead21 100644 --- a/Runtime/LLMUnitySetup.cs +++ b/Runtime/LLMUnitySetup.cs @@ -74,12 +74,6 @@ public class LLMUnityException : Exception public LLMUnityException(string message = "") : base(message) {} } - public delegate void EmptyCallback(); - public delegate void Callback(T message); - public delegate Task TaskCallback(T message); - public delegate T2 ContentCallback(T message); - public delegate void ActionCallback(string source, string target); - [Serializable] public struct StringPair { @@ -170,7 +164,7 @@ public class LLMUnitySetup static string DebugModeKey = "DebugMode"; public static bool CUBLAS = false; static string CUBLASKey = "CUBLAS"; - static List> errorCallbacks = new List>(); + static List> errorCallbacks = new List>(); static readonly object lockObject = new object(); static Dictionary androidExtractTasks = new Dictionary(); @@ -199,7 +193,7 @@ public static void LogError(string message, bool throwException = false) { if ((int)DebugMode > (int)DebugModeType.Error) return; Debug.LogError(message); - foreach (Callback errorCallback in errorCallbacks) errorCallback(message); + foreach (Action errorCallback in errorCallbacks) errorCallback(message); if (throwException) throw new LLMUnityException(message); } @@ -242,7 +236,9 @@ public static string GetDownloadAssetPath(string relPath = "") static void InitializeOnLoadCommon() { +#if UNITY_EDITOR || !((UNITY_ANDROID || UNITY_IOS || UNITY_VISIONOS)) LlamaLib.baseLibraryPath = Path.Combine(libraryPath, LlamaLib.GetPlatform(), "native"); +#endif } #if UNITY_EDITOR @@ -275,7 +271,7 @@ public static void CancelDownload(string savePath) public static async Task DownloadFile( string fileUrl, string savePath, bool overwrite = false, - Callback callback = null, Callback progressCallback = null + Action callback = null, Action progressCallback = null ) { if (File.Exists(savePath) && !overwrite) @@ -541,13 +537,13 @@ public static string AddAsset(string assetPath) /// \endcond /// Add callback function to call for error logs - public static void AddErrorCallBack(Callback callback) + public static void AddErrorCallBack(Action callback) { errorCallbacks.Add(callback); } /// Remove callback function added for error logs - public static void RemoveErrorCallBack(Callback callback) + public static void RemoveErrorCallBack(Action callback) { errorCallbacks.Remove(callback); } diff --git a/Runtime/LLMUtils.cs b/Runtime/LLMUtils.cs index 43763936..f7cf8ad5 100644 --- a/Runtime/LLMUtils.cs +++ b/Runtime/LLMUtils.cs @@ -206,13 +206,14 @@ public string[] GetLoras() public class Utils { - public static LlamaLib.CharArrayCallback WrapCallbackForAsync( - LlamaLib.CharArrayCallback callback, MonoBehaviour owner) + // Extract main thread wrapping logic + public static Action WrapActionForMainThread( + Action callback, MonoBehaviour owner) { if (callback == null) return null; var context = SynchronizationContext.Current; - return (string msg) => + return msg => { try { @@ -242,6 +243,18 @@ public static LlamaLib.CharArrayCallback WrapCallbackForAsync( } }; } + +#if !ENABLE_IL2CPP + // Keep original for Mono builds + public static LlamaLib.CharArrayCallback WrapCallbackForAsync( + Action callback, MonoBehaviour owner) + { + if (callback == null) return null; + Action mainThreadCallback = WrapActionForMainThread(callback, owner); + return msg => mainThreadCallback(msg); + } + +#endif } /// \endcond } diff --git a/Runtime/RAG/Search.cs b/Runtime/RAG/Search.cs index 264ad599..110fa83a 100644 --- a/Runtime/RAG/Search.cs +++ b/Runtime/RAG/Search.cs @@ -344,12 +344,12 @@ public virtual async Task Encode(string inputString) return (await llmEmbedder.Embeddings(inputString)).ToArray(); } - public virtual async Task> Tokenize(string query, Callback> callback = null) + public virtual async Task> Tokenize(string query, Action> callback = null) { return await llmEmbedder.Tokenize(query, callback); } - public async Task Detokenize(List tokens, Callback callback = null) + public async Task Detokenize(List tokens, Action callback = null) { return await llmEmbedder.Detokenize(tokens, callback); } diff --git a/Runtime/ResumingWebClient.cs b/Runtime/ResumingWebClient.cs index fc299758..b4716bc6 100644 --- a/Runtime/ResumingWebClient.cs +++ b/Runtime/ResumingWebClient.cs @@ -38,7 +38,7 @@ public long GetURLFileSize(Uri address) return response.ContentLength; } - public Task DownloadFileTaskAsyncResume(Uri address, string fileName, bool resume = false, Callback progressCallback = null) + public Task DownloadFileTaskAsyncResume(Uri address, string fileName, bool resume = false, Action progressCallback = null) { var tcs = new TaskCompletionSource(address); FileStream fs = null; @@ -101,7 +101,7 @@ public void AbortRequest(WebRequest request) } } - private async void DownloadBitsAsync(WebRequest request, Stream writeStream, long bytesToSkip = 0, Callback progressCallback = null, TaskCompletionSource tcs = null) + private async void DownloadBitsAsync(WebRequest request, Stream writeStream, long bytesToSkip = 0, Action progressCallback = null, TaskCompletionSource tcs = null) { try { @@ -159,7 +159,7 @@ private async void DownloadBitsAsync(WebRequest request, Stream writeStream, lon } } - private void PostProgressChanged(Callback progressCallback, long BytesReceived, long TotalBytesToReceive) + private void PostProgressChanged(Action progressCallback, long BytesReceived, long TotalBytesToReceive) { if (progressCallback != null && BytesReceived > 0) { diff --git a/Samples~/ChatBot/Bubble.cs b/Samples~/ChatBot/Bubble.cs index cbfcf60e..403ef09e 100644 --- a/Samples~/ChatBot/Bubble.cs +++ b/Samples~/ChatBot/Bubble.cs @@ -22,9 +22,9 @@ struct BubbleUI public class RectTransformResizeHandler : MonoBehaviour { - EmptyCallback callback; + Action callback; - public void SetCallBack(EmptyCallback callback) + public void SetCallBack(Action callback) { this.callback = callback; } @@ -125,7 +125,7 @@ void SetSortingOrder(GameObject bubbleObject, GameObject imageObject) imageCanvas.sortingOrder = 1; } - public void OnResize(EmptyCallback callback) + public void OnResize(Action callback) { RectTransformResizeHandler resizeHandler = bubbleObject.AddComponent(); resizeHandler.SetCallBack(callback); @@ -169,7 +169,7 @@ class InputBubble : Bubble protected GameObject placeholderObject; public InputBubble(Transform parent, BubbleUI ui, string name, string message, int lineHeight = 4) : - base(parent, ui, name, emptyLines(message, lineHeight)) + base(parent, ui, name, emptyLines(message, lineHeight)) { Text textObjext = bubbleObject.GetComponent(); RectTransform bubbleRectTransform = bubbleObject.GetComponent(); @@ -289,5 +289,4 @@ public void ReActivateInputField() inputField.ActivateInputField(); } } - } From 60dd270a151e4b4afcc591f9c31b699d39549957 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 16 Dec 2025 15:10:07 +0200 Subject: [PATCH 58/69] fix build location for Android --- Runtime/LLMBuilder.cs | 39 +++++++++++++++++++++++---------------- 1 file changed, 23 insertions(+), 16 deletions(-) diff --git a/Runtime/LLMBuilder.cs b/Runtime/LLMBuilder.cs index b06a3193..9dfc9c9d 100644 --- a/Runtime/LLMBuilder.cs +++ b/Runtime/LLMBuilder.cs @@ -4,6 +4,7 @@ using UnityEngine; using System.IO; using System.Collections.Generic; +using System; #if UNITY_EDITOR namespace LLMUnity @@ -31,11 +32,6 @@ public static string PluginDir(string platform, bool relative = false) return pluginDir; } - public static string PluginLibraryDir(string platform, bool relative = false) - { - return Path.Combine(PluginDir(platform, relative), LLMUnitySetup.libraryName); - } - public static void Retry(System.Action action, int retries = 10, int delayMs = 100) { for (int i = 0; i < retries; i++) @@ -64,10 +60,12 @@ public static void Retry(System.Action action, int retries = 10, int delayMs = 1 /// source file/directory /// targer file/directory /// action - public static void HandleActionFileRecursive(string source, string target, ActionCallback actionCallback) + public static void HandleActionFileRecursive(string source, string target, Action actionCallback) { if (File.Exists(source)) { + string targetDir = Path.GetDirectoryName(target); + if (targetDir != "" && !Directory.Exists(targetDir)) Directory.CreateDirectory(targetDir); Retry(() => actionCallback(source, target)); } else if (Directory.Exists(source)) @@ -146,9 +144,8 @@ static void AddTargetPair(string target) static bool MoveAction(string source, string target, bool addEntry = true) { - ActionCallback moveCallback; - if (File.Exists(source)) moveCallback = File.Move; - else if (Directory.Exists(source)) moveCallback = MovePath; + Action moveCallback; + if (File.Exists(source) || Directory.Exists(source)) moveCallback = MovePath; else return false; if (addEntry) AddMovedPair(source, target); @@ -158,7 +155,7 @@ static bool MoveAction(string source, string target, bool addEntry = true) static bool CopyAction(string source, string target, bool addEntry = true) { - ActionCallback copyCallback; + Action copyCallback; if (File.Exists(source)) copyCallback = File.Copy; else if (Directory.Exists(source)) copyCallback = CopyPath; else return false; @@ -180,6 +177,17 @@ static void AddActionAddMeta(string target) AddTargetPair(target + ".meta"); } + static string MobileSuffix(BuildTarget buildTarget) + { + return (buildTarget == BuildTarget.Android) ? "so" : "a"; + } + + static string MobilePluginPath(BuildTarget buildTarget, string arch, bool relative = false) + { + string os = buildTarget.ToString(); + return Path.Combine(PluginDir(os, relative), arch, $"libllamalib_{os.ToLower()}.{MobileSuffix(buildTarget)}"); + } + /// /// Moves libraries in the correct place for building /// @@ -252,8 +260,8 @@ public static void BuildLibraryPlatforms(BuildTarget buildTarget) { foreach (string platform in platforms) { - string source = Path.Combine(LLMUnitySetup.libraryPath, platform, "native"); - string target = Path.Combine(PluginLibraryDir(buildTarget.ToString()), platform); + string source = Path.Combine(LLMUnitySetup.libraryPath, platform, "native", $"libllamalib_{platform}.{MobileSuffix(buildTarget)}"); + string target = MobilePluginPath(buildTarget, platform.Split("-")[1].ToUpper()); string pluginDir = PluginDir(buildTarget.ToString()); MoveAction(source, target); MoveAction(source + ".meta", target + ".meta"); @@ -266,13 +274,12 @@ static void OnPostprocessAllAssets(string[] importedAssets, string[] deletedAsse { foreach (BuildTarget buildTarget in new BuildTarget[] { BuildTarget.iOS, BuildTarget.VisionOS, BuildTarget.Android }) { - string suffix = (buildTarget == BuildTarget.Android) ? "so" : "a"; - string platformDir = Path.Combine("Assets", PluginLibraryDir(buildTarget.ToString(), true)); + string platformDir = Path.Combine("Assets", PluginDir(buildTarget.ToString(), true)); if (!Directory.Exists(platformDir)) continue; foreach (string archDir in Directory.GetDirectories(platformDir)) { string arch = Path.GetFileName(archDir); - string pathToPlugin = Path.Combine(platformDir, $"libllamalib_{arch}.{suffix}"); + string pathToPlugin = Path.Combine("Assets", MobilePluginPath(buildTarget, arch, true)); for (int i = 0; i < movedAssets.Length; i++) { if (movedAssets[i] == pathToPlugin) @@ -281,7 +288,7 @@ static void OnPostprocessAllAssets(string[] importedAssets, string[] deletedAsse if (importer != null && importer.isNativePlugin) { importer.SetCompatibleWithPlatform(buildTarget, true); - importer.SetPlatformData(buildTarget, "CPU", arch.Split("_")[1].ToUpper()); + importer.SetPlatformData(buildTarget, "CPU", arch); AssetDatabase.ImportAsset(pathToPlugin); } } From cf2bcb76d1d3c89ae19392bddf3c116840bfb131 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 16 Dec 2025 15:10:26 +0200 Subject: [PATCH 59/69] adapt Readme --- .github/FUNDING.yml | 1 + README.md | 28 +++++++++++++++++----------- 2 files changed, 18 insertions(+), 11 deletions(-) diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml index 43d692a5..e0cfe47f 100644 --- a/.github/FUNDING.yml +++ b/.github/FUNDING.yml @@ -1 +1,2 @@ github: [amakropoulos] +ko_fi: amakropoulos diff --git a/README.md b/README.md index 93dd6cfb..edf2f56e 100644 --- a/README.md +++ b/README.md @@ -55,7 +55,7 @@ For business inquiries you can reach out at hello@undream.ai. - [⭐ Star](https://github.com/undreamai/LLMUnity) the repo, leave a [review](https://assetstore.unity.com/packages/slug/273604) and spread the word about the project! - Join us at [Discord](https://discord.gg/RwXKQb6zdv) and say hi. - [Contribute](CONTRIBUTING.md) by submitting feature requests, bugs or even your own PR. -- [![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/amakropoulos) this work to allow even cooler features! +- [![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/amakropoulos) this work or buy me a [![Ko-fi](https://img.shields.io/badge/Ko--fi-FF5E5B?logo=ko-fi&logoColor=white)](#) to allow even cooler features! ## Games / Projects using LLM for Unity @@ -101,7 +101,7 @@ First you will setup the LLM for your game 🏎: Then you can setup each of your characters as follows 🙋‍♀️: - Create an empty GameObject for the character.
In the GameObject Inspector click `Add Component` and select the LLMAgent script. -- Define the role of your AI in the `System Prompt`. You can define the role of the AI (`Assistant Role`) and the player (`User Role`). +- Define the role of your AI in the `System Prompt`. - (Optional) Select the LLM constructed above in the `LLM` field if you have more than one LLM GameObjects. In your script you can then use it as follows 🦄: @@ -111,16 +111,23 @@ using LLMUnity; public class MyScript { public LLMAgent llmAgent; - void HandleReply(string reply){ - // do something with the reply from the model - Debug.Log(reply); + void HandleReply(string replySoFar){ + // do something with the reply from the model as it is being produced + Debug.Log(replySoFar); } void Game(){ - // your game function + // handle the response as it is being produced ... - string message = "Hello bot!"; - _ = llmAgent.Chat(message, HandleReply); + _ = llmAgent.Chat("Hello bot!", HandleReply); + ... + } + + async void GameAsync(){ + // or handle the entire response in one go + ... + string reply = await llmAgent.Chat("Hello bot!"); + Debug.Log(reply); ... } } @@ -129,14 +136,13 @@ You can also specify a function to call when the model reply has been completed: ``` c# void ReplyCompleted(){ // do something when the reply from the model is complete - Debug.Log("The AI replied"); + Debug.Log("The AI has finished replying"); } void Game(){ // your game function ... - string message = "Hello bot!"; - _ = llmAgent.Chat(message, HandleReply, ReplyCompleted); + _ = llmAgent.Chat("Hello bot!", HandleReply, ReplyCompleted); ... } ``` From e58836db74b99de2e89ae73e100c72b3053796f6 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 16 Dec 2025 15:10:37 +0200 Subject: [PATCH 60/69] update LlamaLib --- Runtime/LlamaLib/LibraryLoader.cs | 12 +++++++----- Runtime/LlamaLib/LlamaLib.cs | 29 +++++++++++++++++++++-------- 2 files changed, 28 insertions(+), 13 deletions(-) diff --git a/Runtime/LlamaLib/LibraryLoader.cs b/Runtime/LlamaLib/LibraryLoader.cs index 93b3a3f4..6893cfde 100644 --- a/Runtime/LlamaLib/LibraryLoader.cs +++ b/Runtime/LlamaLib/LibraryLoader.cs @@ -29,6 +29,7 @@ public static T GetSymbolDelegate(IntPtr library, string name) where T : Dele return Marshal.GetDelegateForFunctionPointer(symbol); } + /// /// Loads the provided library in a cross-platform manner /// @@ -39,7 +40,7 @@ public static IntPtr LoadLibrary(string libraryPath) if (string.IsNullOrEmpty(libraryPath)) throw new ArgumentNullException(nameof(libraryPath)); -#if ANDROID || IOS || VISIONOS +#if (ANDROID || IOS || VISIONOS) || (UNITY_ANDROID || UNITY_IOS || UNITY_VISIONOS) return Mobile.dlopen(libraryPath); #else if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) @@ -63,7 +64,7 @@ public static IntPtr GetSymbol(IntPtr library, string symbolName) if (string.IsNullOrEmpty(symbolName)) throw new ArgumentNullException(nameof(symbolName)); -#if ANDROID || IOS || VISIONOS +#if (ANDROID || IOS || VISIONOS) || (UNITY_ANDROID || UNITY_IOS || UNITY_VISIONOS) return Mobile.dlsym(library, symbolName); #else if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) @@ -85,7 +86,7 @@ public static void FreeLibrary(IntPtr library) if (library == IntPtr.Zero) return; -#if ANDROID || IOS || VISIONOS +#if (ANDROID || IOS || VISIONOS) || (UNITY_ANDROID || UNITY_IOS || UNITY_VISIONOS) Mobile.dlclose(library); #else if (RuntimeInformation.IsOSPlatform(OSPlatform.Windows)) @@ -191,7 +192,7 @@ private static class Mobile { public static IntPtr dlopen(string path) => dlopen(path, 1); -#if ANDROID || IOS || VISIONOS +#if (ANDROID || IOS || VISIONOS) || (UNITY_ANDROID || UNITY_IOS || UNITY_VISIONOS) [DllImport("__Internal")] public static extern IntPtr dlopen(string filename, int flags); @@ -215,7 +216,8 @@ public static int dlclose(IntPtr handle) { return 0; } + #endif } } -} \ No newline at end of file +} diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index 87fd835f..7e0dbcab 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -9,9 +9,13 @@ namespace UndreamAI.LlamaLib public class LlamaLib { //################################################## FUNCTION DELEGATES ##################################################// - +#if ENABLE_IL2CPP + [UnmanagedFunctionPointer(CallingConvention.Cdecl)] + public delegate void CharArrayCallback(IntPtr charArray); +#else [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate void CharArrayCallback([MarshalAs(UnmanagedType.LPStr)] string charArray); +#endif // Main lib [UnmanagedFunctionPointer(CallingConvention.Cdecl)] @@ -306,7 +310,7 @@ public IntPtr LLMService_Construct( public void LLMClient_Set_SSL(IntPtr llm, string SSLCert) => CallWithStatus(() => LLMClient_Set_SSL_Internal(llm, SSLCert)); public bool LLMClient_Is_Server_Alive(IntPtr llm) => CallWithStatus(() => LLMClient_Is_Server_Alive_Internal(llm)); public IntPtr LLMAgent_Construct(IntPtr llm, string systemPrompt = "") => CallWithStatus(() => LLMAgent_Construct_Internal(llm, systemPrompt)); - public void LLMAgent_Set_System_Prompt(IntPtr llm, string systemPrompt) => CallWithStatus(() => LLMAgent_Set_System_Prompt_Internal(llm, systemPrompt)); + public void LLMAgent_Set_System_Prompt(IntPtr llm, string systemPrompt) => CallWithStatus(() => LLMAgent_Set_System_Prompt_Internal(llm, systemPrompt)); public IntPtr LLMAgent_Get_System_Prompt(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_System_Prompt_Internal(llm)); public void LLM_Set_Completion_Parameters(IntPtr llm, string parameters) => CallWithStatus(() => LLM_Set_Completion_Parameters_Internal(llm, parameters)); public IntPtr LLM_Get_Completion_Parameters(IntPtr llm) => CallWithStatus(() => LLM_Get_Completion_Parameters_Internal(llm)); @@ -328,8 +332,10 @@ public IntPtr LLMAgent_Chat(IntPtr llm, string userPrompt, bool addToHistory = t //################################################## MOBILE IMPLEMENTATION ##################################################// -#if ANDROID || IOS || VISIONOS -#if ANDROID_ARM64 +#if (ANDROID || IOS || VISIONOS) || ((UNITY_ANDROID || UNITY_IOS || UNITY_VISIONOS) && !UNITY_EDITOR) +#if UNITY_ANDROID + public const string DllName = "libllamalib_android"; +#elif ANDROID_ARM64 public const string DllName = "libllamalib_android-arm64"; #elif ANDROID_X64 public const string DllName = "libllamalib_android-x64"; @@ -528,15 +534,20 @@ public static extern IntPtr LLMAgent_Chat_Static(IntPtr llm, [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Get_History_Size")] public static extern int LLMAgent_Get_History_Size_Static(IntPtr llm); + public static IntPtr Available_Architectures([MarshalAs(UnmanagedType.I1)] bool gpu) { return IntPtr.Zero; } + public static bool Has_GPU_Layers([MarshalAs(UnmanagedType.LPStr)] string command) { return false; } + public LlamaLib(bool gpu = false) { -#if ANDROID_ARM64 +#if UNITY_ANDROID + architecture = "android"; +#elif ANDROID_ARM64 architecture = "android-arm64"; #elif ANDROID_X64 architecture = "android-x64"; -#elif IOS +#elif IOS || UNITY_IOS architecture = "ios-arm64"; -#elif VISIONOS +#elif VISIONOS || UNITY_VISIONOS architecture = "visionos-arm64"; #endif @@ -555,7 +566,7 @@ public LlamaLib(bool gpu = false) LLM_Start_Internal = (llm) => LLM_Start_Static(llm); LLM_Started_Internal = (llm) => LLM_Started_Static(llm); LLM_Stop_Internal = (llm) => LLM_Stop_Static(llm); - LLM_Start_Server_Internal = (llm, host, port) => LLM_Start_Server_Static(llm, host, port, apiKey); + LLM_Start_Server_Internal = (llm, host, port, apiKey) => LLM_Start_Server_Static(llm, host, port, apiKey); LLM_Stop_Server_Internal = (llm) => LLM_Stop_Server_Static(llm); LLM_Join_Service_Internal = (llm) => LLM_Join_Service_Static(llm); LLM_Join_Server_Internal = (llm) => LLM_Join_Server_Static(llm); @@ -591,6 +602,8 @@ public LlamaLib(bool gpu = false) LLMAgent_Get_History_Size_Internal = (llm) => LLMAgent_Get_History_Size_Static(llm); } + public void Dispose() {} + #else // Desktop platform implementation with dynamic loading private static List instances = new List(); From 73ad5401274b49f83d105f8d9bb794da9da57fe7 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 16 Dec 2025 22:12:36 +0200 Subject: [PATCH 61/69] update LlamaLib --- Runtime/LlamaLib/LlamaLib.cs | 97 ++++++++++++++++++++++++++++++------ 1 file changed, 82 insertions(+), 15 deletions(-) diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index 7e0dbcab..9bb1f3da 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -210,8 +210,6 @@ public delegate IntPtr LLMAgent_Chat_Delegate(IntPtr llm, public LLM_Status_Code_Delegate LLM_Status_Code_Internal; public LLM_Status_Message_Delegate LLM_Status_Message_Internal; public LLM_Embedding_Size_Delegate LLM_Embedding_Size_Internal; - public LLMService_Construct_Delegate LLMService_Construct_Internal; - public LLMService_From_Command_Delegate LLMService_From_Command_Internal; public LLMService_Command_Delegate LLMService_Command_Internal; public LLMClient_Construct_Delegate LLMClient_Construct_Internal; public LLMClient_Construct_Remote_Delegate LLMClient_Construct_Remote_Internal; @@ -436,6 +434,9 @@ public static extern void LLM_Set_SSL_Static(IntPtr llm, public static extern int LLM_Embedding_Size_Static(IntPtr llm); // LLMService functions + public LLMService_Construct_Delegate LLMService_Construct_Internal; + public LLMService_From_Command_Delegate LLMService_From_Command_Internal; + [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMService_Construct")] public static extern IntPtr LLMService_Construct_Static( [MarshalAs(UnmanagedType.LPStr)] string modelPath, @@ -574,8 +575,8 @@ public LlamaLib(bool gpu = false) LLM_Status_Code_Internal = () => LLM_Status_Code_Static(); LLM_Status_Message_Internal = () => LLM_Status_Message_Static(); LLM_Embedding_Size_Internal = (llm) => LLM_Embedding_Size_Static(llm); - LLMService_Construct_Internal = (modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths) => LLMService_Construct_Static(modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths); - LLMService_From_Command_Internal = (paramsString) => LLMService_From_Command_Static(paramsString); + LLMService_Construct_Internal = (modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths) => LLMService_Construct_With_Fallback(modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths); + LLMService_From_Command_Internal = (paramsString) => LLMService_From_Command_With_Fallback(paramsString); LLMService_Command_Internal = (llm) => LLMService_Command_Static(llm); LLMClient_Construct_Internal = (llm) => LLMClient_Construct_Static(llm); LLMClient_Construct_Remote_Internal = (url, port, apiKey, numRetries) => LLMClient_Construct_Remote_Static(url, port, apiKey, numRetries); @@ -614,6 +615,8 @@ public void Dispose() {} private IntPtr libraryHandle = IntPtr.Zero; private static int debugLevelGlobal = 0; private static CharArrayCallback loggingCallbackGlobal = null; + private string[] availableLibraries = null; + private int currentLibraryIndex = 0; // Runtime lib [UnmanagedFunctionPointer(CallingConvention.Cdecl)] @@ -625,6 +628,25 @@ public void Dispose() {} public static Available_Architectures_Delegate Available_Architectures; public static Has_GPU_Layers_Delegate Has_GPU_Layers; + // LLM construction of single library + public LLMService_Construct_Delegate LLMService_Construct_Internal_Single; + public LLMService_From_Command_Delegate LLMService_From_Command_Internal_Single; + + public IntPtr LLMService_Construct_Internal( + [MarshalAs(UnmanagedType.LPStr)] string modelPath, + int numSlots = 1, + int numThreads = -1, + int numGpuLayers = 0, + [MarshalAs(UnmanagedType.I1)] bool flashAttention = false, + int contextSize = 4096, + int batchSize = 2048, + [MarshalAs(UnmanagedType.I1)] bool embeddingOnly = false, + int loraCount = 0, + IntPtr loraPaths = default) => CreateLLMWithFallback(() => LLMService_Construct_Internal_Single(modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths)); + + public IntPtr LLMService_From_Command_Internal([MarshalAs(UnmanagedType.LPStr)] string paramsString) => CreateLLMWithFallback(() => LLMService_From_Command_Internal_Single(paramsString)); + + private void LoadRuntimeLibrary() { lock (runtimeLock) @@ -726,30 +748,75 @@ private string[] GetAvailableArchitectures(bool gpu) private void LoadLibraries(bool gpu) { - string[] libraries = GetAvailableArchitectures(gpu); - Exception lastException = null; - foreach (string library in libraries) + availableLibraries = GetAvailableArchitectures(gpu); + currentLibraryIndex = -1; + + if (!TryNextLibrary()) + { + throw new InvalidOperationException($"Failed to load any library. Available libraries: {string.Join(", ", availableLibraries)}"); + } + } + + public bool TryNextLibrary() + { + if (availableLibraries == null) + return false; + + if (libraryHandle != IntPtr.Zero) + { + try { LibraryLoader.FreeLibrary(libraryHandle); } catch {} + libraryHandle = IntPtr.Zero; + } + + while (++currentLibraryIndex < availableLibraries.Length) { + string library = availableLibraries[currentLibraryIndex]; try { string libraryPath = FindLibrary(library.Trim()); if (debugLevelGlobal > 0) Console.WriteLine("Trying " + libraryPath); + libraryHandle = LibraryLoader.LoadLibrary(libraryPath); LoadFunctionPointers(); architecture = library.Trim(); if (debugLevelGlobal > 0) Console.WriteLine("Successfully loaded: " + libraryPath); - return; + return true; } catch (Exception ex) { - if (debugLevelGlobal > 0) Console.WriteLine($"Failed to load library {library}: {ex.Message}."); - lastException = ex; - continue; + if (libraryHandle != IntPtr.Zero) + { + if (debugLevelGlobal > 0) Console.WriteLine($"Failed to load library {library}: {ex.Message}."); + try { LibraryLoader.FreeLibrary(libraryHandle); } catch {} + libraryHandle = IntPtr.Zero; + } } } - // If we get here, no library was successfully loaded - throw new InvalidOperationException($"Failed to load any library. Available libraries: {string.Join(", ", libraries)}", lastException); + return false; + } + + public IntPtr CreateLLMWithFallback(Func createFunc) + { + while (true) + { + try + { + IntPtr llmInstance = createFunc(); + if (llmInstance == IntPtr.Zero) throw new InvalidOperationException("LLMService construction returned null pointer"); + CheckStatus(); + return llmInstance; + } + catch (Exception ex) + { + if (!TryNextLibrary()) + { + throw new InvalidOperationException( + $"Failed LLMService construction with all available libraries. Last error: {ex.Message}", + ex); + } + } + } } private void LoadFunctionPointers() @@ -781,8 +848,8 @@ private void LoadFunctionPointers() LLM_Status_Code_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Status_Code"); LLM_Status_Message_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Status_Message"); LLM_Embedding_Size_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLM_Embedding_Size"); - LLMService_Construct_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Construct"); - LLMService_From_Command_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_From_Command"); + LLMService_Construct_Internal_Single = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Construct"); + LLMService_From_Command_Internal_Single = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_From_Command"); LLMService_Command_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMService_Command"); LLMClient_Construct_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct"); LLMClient_Construct_Remote_Internal = LibraryLoader.GetSymbolDelegate(libraryHandle, "LLMClient_Construct_Remote"); From 09a17287e54843cd31ef95092a8782e2e0e7c066 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 16 Dec 2025 22:13:11 +0200 Subject: [PATCH 62/69] set debug level before creating LlamaLib --- Runtime/LLM.cs | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index 401c704b..ba751cf2 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -272,8 +272,8 @@ public string SSLKey /// The underlying LLM service instance public LLMService llmService { get; private set; } - /// Model architecture name (e.g., "llama", "mistral") - [Tooltip("Model architecture name (e.g., "llama", "mistral")")] + /// Model architecture name (e.g., llama, mistral) + [Tooltip("Model architecture name (e.g., llama, mistral)")] public string architecture => llmlib?.architecture; /// True if this model only supports embeddings (no text generation) @@ -423,9 +423,6 @@ private async Task StartServiceAsync() private void CreateLib() { - bool useGPU = numGPULayers > 0; - llmlib = new LlamaLib(useGPU); - if (LLMUnitySetup.DebugMode <= LLMUnitySetup.DebugModeType.All) { LlamaLib.Debug(LLMUnitySetup.DebugModeType.All - LLMUnitySetup.DebugMode + 1); @@ -435,6 +432,8 @@ private void CreateLib() LlamaLib.LoggingCallback(LLMUnitySetup.Log); #endif } + bool useGPU = numGPULayers > 0; + llmlib = new LlamaLib(useGPU); } /// From e2e66c8864e5a50e9cb59a353ca3b9f3ac328aa5 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 16 Dec 2025 22:38:16 +0200 Subject: [PATCH 63/69] build usearch for Android 16kb support --- .../usearch/Android/arm64-v8a/libusearch_c.so | Bin 1921808 -> 1955440 bytes .../usearch/Android/x86_64/libusearch_c.so | Bin 1844480 -> 1859760 bytes 2 files changed, 0 insertions(+), 0 deletions(-) diff --git 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zu`;P>nlr(10!6;Tgrs-3qW!#F^uQ9v1artxDJ1E%M|wmrra1V8A%%NOw%bxhjk>)L zKg7N6NmgU98CX6861!D31MWaE;C4hBkea-VN3*22z;$&)3L<^oB7I3lnV5jkE3z>& zoPJA_oc$()TxKYAEK8B5w>0W;tR}~e7Om-Yh8qBisZVx`Y0f)D#ioauD(_H@is?@z zg-uRsBCdj4lNk%DO*7He^&~SPWfKNpkSb}3&i>K)i;w!Jtw#R+IY9YK`2Uv#w3YZF zpFc9N$b2&SZ{mkq{#X7y|018iE;EYfFB|XQ#`|Bv{}OInl$X!%M7#juAXJe~{0gQ9=9@U<*7l|8L;ipDE>k@EObADxUn6)sbMB^uIycpDN{l zUzC^6Klxi6fW$B97hqeT;0Jw^^!)pO!oSGpkN-gClq`Pky48m-Uya z|4x+uiz49%3(jfz{9ixTDK_i>AI)yZA=@lkNM(F)#ncxB2r& zCrV-bG|T@U(*BxK{@WQZ_w5mXn)!KZ3G=7;Np+X_k45=oQT_`qPOSe>DOp~^{jW$< z>Hq1P=lJQEKYt_vQ(^p*<@sBy^+))jmjA&m&+&sR{`~e|mO1&;EdSq(@?ZQ5p5u$p z1sp-Ygd*vd@BafoD5oUzXaACy``qf6Xi|*{f7>XOs&@c{X?l)*lR(ngcFGJ{A>C5-~KY! zaR26aWKO-j%=sJmtYhF`zVolR;{W15^Y?Gz@eiO1xOB9N@vDdOQg(Pw{`U`m>u<9k c-`CL>^vk?&E6V@<-{$3i=O;P<{jJsd|K*)b1ONa4 From 3ce0451fbd22bf90905b93c92a0e18a07f8fbd5d Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Wed, 17 Dec 2025 11:29:01 +0200 Subject: [PATCH 64/69] serialize embedding fields --- Runtime/LLM.cs | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index ba751cf2..80b742e5 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -72,6 +72,14 @@ public class LLM : MonoBehaviour ///

    Persist this LLM GameObject across scene transitions [Tooltip("Persist this LLM GameObject across scene transitions")] [LLM] public bool dontDestroyOnLoad = true; + + /// True if this model only supports embeddings (no text generation) + [SerializeField] + private bool _embeddingsOnly = false; + + /// Number of dimensions in embedding vectors (0 if not an embedding model) + [SerializeField] + private int _embeddingLength = 0; #endregion #region Public Properties with Validation @@ -277,10 +285,10 @@ public string SSLKey public string architecture => llmlib?.architecture; /// True if this model only supports embeddings (no text generation) - public bool embeddingsOnly { get; private set; } = false; + public bool embeddingsOnly => _embeddingsOnly; /// Number of dimensions in embedding vectors (0 if not an embedding model) - public int embeddingLength { get; private set; } = 0; + public int embeddingLength => _embeddingLength; #endregion #region Private Fields @@ -582,8 +590,8 @@ public void SetReasoning(bool reasoning) /// True if model only supports embeddings public void SetEmbeddings(int embeddingLength, bool embeddingsOnly) { - this.embeddingsOnly = embeddingsOnly; - this.embeddingLength = embeddingLength; + _embeddingsOnly = embeddingsOnly; + _embeddingLength = embeddingLength; #if UNITY_EDITOR if (!EditorApplication.isPlaying) EditorUtility.SetDirty(this); From a741e631dfb0e641644b92367470d9a820f7d105 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 23 Dec 2025 12:57:25 +0200 Subject: [PATCH 65/69] update LlamaLib API --- Runtime/LlamaLib/LLMAgent.cs | 8 ++++---- Runtime/LlamaLib/LlamaLib.cs | 24 +++++++++++++----------- 2 files changed, 17 insertions(+), 15 deletions(-) diff --git a/Runtime/LlamaLib/LLMAgent.cs b/Runtime/LlamaLib/LLMAgent.cs index 619678d7..e7a58826 100644 --- a/Runtime/LlamaLib/LLMAgent.cs +++ b/Runtime/LlamaLib/LLMAgent.cs @@ -215,16 +215,16 @@ public int GetHistorySize() } // Chat functionality - public string Chat(string userPrompt, bool addToHistory = true, LlamaLib.CharArrayCallback callback = null, bool returnResponseJson = false) + public string Chat(string userPrompt, bool addToHistory = true, LlamaLib.CharArrayCallback callback = null, bool returnResponseJson = false, bool debugPrompt = false) { CheckLlamaLib(); - IntPtr result = llamaLib.LLMAgent_Chat(llm, userPrompt ?? string.Empty, addToHistory, callback, returnResponseJson); + IntPtr result = llamaLib.LLMAgent_Chat(llm, userPrompt ?? string.Empty, addToHistory, callback, returnResponseJson, debugPrompt); return Marshal.PtrToStringAnsi(result) ?? string.Empty; } - public async Task ChatAsync(string userPrompt, bool addToHistory = true, LlamaLib.CharArrayCallback callback = null, bool returnResponseJson = false) + public async Task ChatAsync(string userPrompt, bool addToHistory = true, LlamaLib.CharArrayCallback callback = null, bool returnResponseJson = false, bool debugPrompt = false) { - return await Task.Run(() => Chat(userPrompt, addToHistory, callback, returnResponseJson)); + return await Task.Run(() => Chat(userPrompt, addToHistory, callback, returnResponseJson, debugPrompt)); } // Override completion methods to use agent-specific implementations diff --git a/Runtime/LlamaLib/LlamaLib.cs b/Runtime/LlamaLib/LlamaLib.cs index 9bb1f3da..e95ffada 100644 --- a/Runtime/LlamaLib/LlamaLib.cs +++ b/Runtime/LlamaLib/LlamaLib.cs @@ -155,7 +155,8 @@ public delegate IntPtr LLMAgent_Chat_Delegate(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string userPrompt, [MarshalAs(UnmanagedType.I1)] bool addToHistory = true, CharArrayCallback callback = null, - [MarshalAs(UnmanagedType.I1)] bool returnResponseJson = false); + [MarshalAs(UnmanagedType.I1)] bool returnResponseJson = false, + [MarshalAs(UnmanagedType.I1)] bool debugPrompt = false); [UnmanagedFunctionPointer(CallingConvention.Cdecl)] public delegate void LLMAgent_Clear_History_Delegate(IntPtr llm); @@ -237,10 +238,10 @@ public delegate IntPtr LLMAgent_Chat_Delegate(IntPtr llm, //################################################## STATUS CHECKING WRAPPER ##################################################// - public void CheckStatus() + public void CheckStatus(bool crashesOnly = false) { int status = LLM_Status_Code_Internal(); - if (status != 0) + if (status > 0 || (status < 0 && !crashesOnly)) { string msg = Marshal.PtrToStringAnsi(LLM_Status_Message_Internal()) ?? ""; throw new InvalidOperationException($"LlamaLib error {status}: {msg}"); @@ -249,7 +250,7 @@ public void CheckStatus() private T CallWithStatus(Func f) { - CheckStatus(); + CheckStatus(true); T r = f(); CheckStatus(); return r; @@ -257,7 +258,7 @@ private T CallWithStatus(Func f) private void CallWithStatus(Action a) { - CheckStatus(); + CheckStatus(true); a(); CheckStatus(); } @@ -316,8 +317,8 @@ public IntPtr LLMService_Construct( public IntPtr LLM_Get_Grammar(IntPtr llm) => CallWithStatus(() => LLM_Get_Grammar_Internal(llm)); public void LLMAgent_Set_Slot(IntPtr llm, int slotId) => CallWithStatus(() => LLMAgent_Set_Slot_Internal(llm, slotId)); public int LLMAgent_Get_Slot(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_Slot_Internal(llm)); - public IntPtr LLMAgent_Chat(IntPtr llm, string userPrompt, bool addToHistory = true, CharArrayCallback callback = null, bool returnResponseJson = false) - => CallWithStatus(() => LLMAgent_Chat_Internal(llm, userPrompt, addToHistory, callback, returnResponseJson)); + public IntPtr LLMAgent_Chat(IntPtr llm, string userPrompt, bool addToHistory = true, CharArrayCallback callback = null, bool returnResponseJson = false, bool debugPrompt = false) + => CallWithStatus(() => LLMAgent_Chat_Internal(llm, userPrompt, addToHistory, callback, returnResponseJson, debugPrompt)); public void LLMAgent_Clear_History(IntPtr llm) => CallWithStatus(() => LLMAgent_Clear_History_Internal(llm)); public IntPtr LLMAgent_Get_History(IntPtr llm) => CallWithStatus(() => LLMAgent_Get_History_Internal(llm)); public void LLMAgent_Set_History(IntPtr llm, string historyJson) => CallWithStatus(() => LLMAgent_Set_History_Internal(llm, historyJson)); @@ -506,7 +507,8 @@ public static extern IntPtr LLMAgent_Chat_Static(IntPtr llm, [MarshalAs(UnmanagedType.LPStr)] string userPrompt, [MarshalAs(UnmanagedType.I1)] bool addToHistory = true, CharArrayCallback callback = null, - [MarshalAs(UnmanagedType.I1)] bool returnResponseJson = false); + [MarshalAs(UnmanagedType.I1)] bool returnResponseJson = false, + [MarshalAs(UnmanagedType.I1)] bool debugPrompt = false); [DllImport(DllName, CallingConvention = CallingConvention.Cdecl, EntryPoint = "LLMAgent_Clear_History")] public static extern void LLMAgent_Clear_History_Static(IntPtr llm); @@ -575,8 +577,8 @@ public LlamaLib(bool gpu = false) LLM_Status_Code_Internal = () => LLM_Status_Code_Static(); LLM_Status_Message_Internal = () => LLM_Status_Message_Static(); LLM_Embedding_Size_Internal = (llm) => LLM_Embedding_Size_Static(llm); - LLMService_Construct_Internal = (modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths) => LLMService_Construct_With_Fallback(modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths); - LLMService_From_Command_Internal = (paramsString) => LLMService_From_Command_With_Fallback(paramsString); + LLMService_Construct_Internal = (modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths) => LLMService_Construct_Static(modelPath, numSlots, numThreads, numGpuLayers, flashAttention, contextSize, batchSize, embeddingOnly, loraCount, loraPaths); + LLMService_From_Command_Internal = (paramsString) => LLMService_From_Command_Static(paramsString); LLMService_Command_Internal = (llm) => LLMService_Command_Static(llm); LLMClient_Construct_Internal = (llm) => LLMClient_Construct_Static(llm); LLMClient_Construct_Remote_Internal = (url, port, apiKey, numRetries) => LLMClient_Construct_Remote_Static(url, port, apiKey, numRetries); @@ -591,7 +593,7 @@ public LlamaLib(bool gpu = false) LLM_Get_Grammar_Internal = (llm) => LLM_Get_Grammar_Static(llm); LLMAgent_Set_Slot_Internal = (llm, slotId) => LLMAgent_Set_Slot_Static(llm, slotId); LLMAgent_Get_Slot_Internal = (llm) => LLMAgent_Get_Slot_Static(llm); - LLMAgent_Chat_Internal = (llm, userPrompt, addToHistory, callback, returnResponseJson) => LLMAgent_Chat_Static(llm, userPrompt, addToHistory, callback, returnResponseJson); + LLMAgent_Chat_Internal = (llm, userPrompt, addToHistory, callback, returnResponseJson, debugPrompt) => LLMAgent_Chat_Static(llm, userPrompt, addToHistory, callback, returnResponseJson, debugPrompt); LLMAgent_Clear_History_Internal = (llm) => LLMAgent_Clear_History_Static(llm); LLMAgent_Get_History_Internal = (llm) => LLMAgent_Get_History_Static(llm); LLMAgent_Set_History_Internal = (llm, historyJson) => LLMAgent_Set_History_Static(llm, historyJson); From 0b1d1b9e9e880ddab99da6b9f3efec136967dfa1 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 23 Dec 2025 12:57:41 +0200 Subject: [PATCH 66/69] update tests --- Tests/Runtime/TestLLM.cs | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/Tests/Runtime/TestLLM.cs b/Tests/Runtime/TestLLM.cs index 226d9ee0..aa35ecae 100644 --- a/Tests/Runtime/TestLLM.cs +++ b/Tests/Runtime/TestLLM.cs @@ -549,6 +549,12 @@ public override LLM CreateLLM() return llm; } + public override void SetParameters() + { + base.SetParameters(); + reply2 = "Of course! Ants are so smart—well, they’re not really!"; + } + public override void TestArchitecture() { Debug.Log(llm.architecture); @@ -584,7 +590,7 @@ public override void SetParameters() { base.SetParameters(); reply1 = "Sure! Here's a fun fact: Ants work together to build complex structures like nests, even though they don't have a brain."; - reply2 = "Of course! Here’s a fun fact: Ants are the most intelligent insects on Earth—though they’re not really smart, they’ve got a lot of teamwork and problem-solving skills."; + reply2 = "Of course! Here’s a fun fact: Ants are so smart—they can navigate mazes and even solve problems by using their exoskeleton as a map."; } } } From 8436724bb9227ac88c05135081b8e2ca91255cd4 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 23 Dec 2025 12:57:54 +0200 Subject: [PATCH 67/69] use internal debug prompt --- Runtime/LLMAgent.cs | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/Runtime/LLMAgent.cs b/Runtime/LLMAgent.cs index 314dbada..8251595f 100644 --- a/Runtime/LLMAgent.cs +++ b/Runtime/LLMAgent.cs @@ -251,14 +251,7 @@ public virtual async Task Chat(string query, Action callback = n } SetCompletionParameters(); - result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback, returnResponseJson: debugPrompt); - if (debugPrompt) - { - CompletionResponseJson responseJson = JsonUtility.FromJson(result); - LLMUnitySetup.Log(responseJson.prompt); - result = responseJson.content; - } - + result = await llmAgent.ChatAsync(query, addToHistory, wrappedCallback, false, debugPrompt); if (addToHistory && result != null && save != "") _ = SaveHistory(); completionCallback?.Invoke(); } From 3855ab51661120c7fba2503bd9847dff643bd54c Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 23 Dec 2025 13:07:10 +0200 Subject: [PATCH 68/69] update license --- LICENSE.md | 222 ++++++++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 201 insertions(+), 21 deletions(-) diff --git a/LICENSE.md b/LICENSE.md index dd36148d..261eeb9e 100644 --- a/LICENSE.md +++ b/LICENSE.md @@ -1,21 +1,201 @@ -MIT License - -Copyright (c) 2023 Undream AI - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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From 102eb53533639b8e4f87bc777a2dc11f9da43843 Mon Sep 17 00:00:00 2001 From: Antonis Makropoulos Date: Tue, 23 Dec 2025 13:26:50 +0200 Subject: [PATCH 69/69] show server architecture in the command --- Runtime/LLM.cs | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/Runtime/LLM.cs b/Runtime/LLM.cs index 80b742e5..bf16470a 100644 --- a/Runtime/LLM.cs +++ b/Runtime/LLM.cs @@ -488,7 +488,15 @@ await Task.Run(() => flashAttention, contextSize, batchSize, embeddingsOnly, loraPaths.ToArray()); llmService = new LLMService(llmlib, llmPtr); - LLMUnitySetup.Log($"Deploy server command: llamalib_**architecture**_server {llmService.Command}"); + + string serverString = "llamalib_**architecture**_server"; + if (Application.platform == RuntimePlatform.WindowsEditor || Application.platform == RuntimePlatform.WindowsPlayer || Application.platform == RuntimePlatform.WindowsServer) + serverString = "llamalib_win-x64_server.exe"; + else if (Application.platform == RuntimePlatform.OSXEditor || Application.platform == RuntimePlatform.OSXPlayer || Application.platform == RuntimePlatform.OSXServer) + serverString = SystemInfo.processorType.Contains("Intel") ? "llamalib_osx-x64_server" : "llamalib_osx-arm64_server"; + else if (Application.platform == RuntimePlatform.LinuxEditor || Application.platform == RuntimePlatform.LinuxPlayer || Application.platform == RuntimePlatform.LinuxServer) + serverString = "llamalib_linux-x64_server"; + LLMUnitySetup.Log($"Deploy server command: {serverString} {llmService.Command}"); SetupServer(); llmService.Start();