Add StoryAI core functionality with LARP-centric services and AI-driv…#99
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Add StoryAI core functionality with LARP-centric services and AI-driv…#99
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…en features: - Introduced `AIAssistantController` with endpoints for AI queries, suggestions, and analyses (query, search, story arc suggestions, relationship suggestions, connections, and plot consistency). - Added DTO classes (`AIQueryResult`, `ChatMessage`) to structure AI interactions and results. - Implemented `EmbeddingService` and `ContextBuilder` to handle vector embeddings, chunked lore contexts, and AI-ready prompts. - Created `EmbeddingProviderInterface` for abstraction and compatibility with embedding engines. - Added `IndexLoreDocumentHandler` and `IndexLoreDocumentMessage` for async lore document indexing. - Registered PSR-17 factories via `http_discovery.yaml` for API operations. - Enhanced scalability via chunked lore document processing and batch embedding generation.
…re` implementations, setup documentation, and supporting DTO (`VectorDocument`) for AI-powered story management.
…d update `.serena/project.yml` with refined configurations.
…rules, and backend support: - Built AI Assistant page with chat interface using Stimulus controller and custom styles. - Added `AIAssistantPageController` for rendering assistant chat view. - Implemented `AIAssistantVoter` for access control based on LARP participation and roles. - Created `ai_assistant_controller.js` for managing chat interactions, message history, and API communication. - Styled AI Assistant components (`_ai_assistant.scss`) for user and assistant messages, typing indicators, and error handling. - Extended LARP-related templates and security configurations to integrate AI Assistant page. - Added entities and logic for lore document indexing, embedding integration, and AI-driven functionalities.
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…en features:
AIAssistantControllerwith endpoints for AI queries, suggestions, and analyses (query, search, story arc suggestions, relationship suggestions, connections, and plot consistency).AIQueryResult,ChatMessage) to structure AI interactions and results.EmbeddingServiceandContextBuilderto handle vector embeddings, chunked lore contexts, and AI-ready prompts.EmbeddingProviderInterfacefor abstraction and compatibility with embedding engines.IndexLoreDocumentHandlerandIndexLoreDocumentMessagefor async lore document indexing.http_discovery.yamlfor API operations.