diff --git a/.gitignore b/.gitignore
index ed3930e..88d27f1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -30,3 +30,4 @@ npm-debug.log*
 
 # Trajectories - don't commit active work
 .trajectories/active/
+.agent-relay/
diff --git a/.trajectories/completed/traj_1774688780754_79342892.json b/.trajectories/completed/traj_1774688780754_79342892.json
new file mode 100644
index 0000000..ae386bd
--- /dev/null
+++ b/.trajectories/completed/traj_1774688780754_79342892.json
@@ -0,0 +1,429 @@
+{
+  "id": "traj_1774688780754_79342892",
+  "version": 1,
+  "task": {
+    "title": "llm-compaction-workflow",
+    "source": {
+      "system": "workflow-runner",
+      "id": "316d644a208b6cbe98d91249"
+    }
+  },
+  "status": "completed",
+  "startedAt": "2026-03-28T09:06:20.754Z",
+  "agents": [
+    {
+      "name": "orchestrator",
+      "role": "workflow-runner",
+      "joinedAt": "2026-03-28T09:06:20.754Z"
+    },
+    {
+      "name": "architect",
+      "role": "specialist",
+      "joinedAt": "2026-03-28T09:06:24.455Z"
+    },
+    {
+      "name": "llm-builder",
+      "role": "specialist",
+      "joinedAt": "2026-03-28T09:08:31.260Z"
+    },
+    {
+      "name": "prompt-builder",
+      "role": "specialist",
+      "joinedAt": "2026-03-28T09:08:31.260Z"
+    },
+    {
+      "name": "cli-builder",
+      "role": "specialist",
+      "joinedAt": "2026-03-28T09:12:17.236Z"
+    },
+    {
+      "name": "reviewer",
+      "role": "specialist",
+      "joinedAt": "2026-03-28T09:23:49.608Z"
+    }
+  ],
+  "chapters": [
+    {
+      "id": "ch_4d156a3a",
+      "title": "Planning",
+      "agentName": "orchestrator",
+      "startedAt": "2026-03-28T09:06:20.754Z",
+      "events": [
+        {
+          "ts": 1774688780754,
+          "type": "note",
+          "content": "Purpose: Replace mechanical trajectory compaction with LLM-powered intelligent summarization"
+        },
+        {
+          "ts": 1774688780754,
+          "type": "note",
+          "content": "Approach: 6-step dag workflow — Parsed 6 steps, 5 dependent steps, DAG validated, no cycles"
+        }
+      ],
+      "endedAt": "2026-03-28T09:06:24.457Z"
+    },
+    {
+      "id": "ch_419d8c8b",
+      "title": "Execution: design-llm-compaction",
+      "agentName": "architect",
+      "startedAt": "2026-03-28T09:06:24.457Z",
+      "events": [
+        {
+          "ts": 1774688784457,
+          "type": "note",
+          "content": "\"design-llm-compaction\": Design the LLM-powered trajectory compaction system",
+          "raw": {
+            "agent": "architect"
+          }
+        },
+        {
+          "ts": 1774688911257,
+          "type": "completion-marker",
+          "content": "\"design-llm-compaction\" marker-based completion — Legacy STEP_COMPLETE marker observed (6 signal(s), 3 file change(s); signals=COMPLETE, COMPLETE, COMPLETE, COMPLETE, ▐▛███▜▌   Claude Code v2.1.71, DESIGN_COMPACTION_COMPLETE; files=modified:.gitignore, modified:package.json, modified:workflows/llm-compaction.ts)",
+          "significance": "medium",
+          "raw": {
+            "stepName": "design-llm-compaction",
+            "completionMode": "marker",
+            "reason": "Legacy STEP_COMPLETE marker observed",
+            "evidence": {
+              "summary": "6 signal(s), 3 file change(s)",
+              "signals": [
+                "COMPLETE",
+                "COMPLETE",
+                "COMPLETE",
+                "COMPLETE",
+                "▐▛███▜▌   Claude Code v2.1.71",
+                "DESIGN_COMPACTION_COMPLETE"
+              ],
+              "files": [
+                "modified:.gitignore",
+                "modified:package.json",
+                "modified:workflows/llm-compaction.ts"
+              ]
+            }
+          }
+        },
+        {
+          "ts": 1774688911258,
+          "type": "finding",
+          "content": "\"design-llm-compaction\" completed → thinking",
+          "significance": "medium"
+        }
+      ],
+      "endedAt": "2026-03-28T09:08:31.260Z"
+    },
+    {
+      "id": "ch_7645f0e3",
+      "title": "Execution: create-llm-engine, create-prompts-parser",
+      "agentName": "orchestrator",
+      "startedAt": "2026-03-28T09:08:31.260Z",
+      "events": [],
+      "endedAt": "2026-03-28T09:08:31.261Z"
+    },
+    {
+      "id": "ch_dd383217",
+      "title": "Execution: create-llm-engine",
+      "agentName": "llm-builder",
+      "startedAt": "2026-03-28T09:08:31.261Z",
+      "events": [
+        {
+          "ts": 1774688911261,
+          "type": "note",
+          "content": "\"create-llm-engine\": Build the LLM compaction engine",
+          "raw": {
+            "agent": "llm-builder"
+          }
+        }
+      ],
+      "endedAt": "2026-03-28T09:08:31.261Z"
+    },
+    {
+      "id": "ch_f02ba462",
+      "title": "Execution: create-prompts-parser",
+      "agentName": "prompt-builder",
+      "startedAt": "2026-03-28T09:08:31.261Z",
+      "events": [
+        {
+          "ts": 1774688911261,
+          "type": "note",
+          "content": "\"create-prompts-parser\": Build the compaction prompts and output parser",
+          "raw": {
+            "agent": "prompt-builder"
+          }
+        },
+        {
+          "ts": 1774689131682,
+          "type": "completion-evidence",
+          "content": "\"create-llm-engine\" verification-based completion — Verification passed (6 signal(s), 6 file change(s), exit=0; signals=COMPLETE, COMPLETE, COMPLETE, COMPLETE, OpenAI Codex v0.116.0 (research preview), LLM_ENGINE_COMPLETE; files=created:src/compact/index.ts, created:src/compact/markdown.ts, created:src/compact/parser.ts, created:src/compact/prompts.ts, created:src/compact/provider.ts, created:src/compact/serializer.ts; exit=0)",
+          "significance": "medium",
+          "raw": {
+            "stepName": "create-llm-engine",
+            "completionMode": "verification",
+            "reason": "Verification passed",
+            "evidence": {
+              "summary": "6 signal(s), 6 file change(s), exit=0",
+              "signals": [
+                "COMPLETE",
+                "COMPLETE",
+                "COMPLETE",
+                "COMPLETE",
+                "OpenAI Codex v0.116.0 (research preview)",
+                "LLM_ENGINE_COMPLETE"
+              ],
+              "files": [
+                "created:src/compact/index.ts",
+                "created:src/compact/markdown.ts",
+                "created:src/compact/parser.ts",
+                "created:src/compact/prompts.ts",
+                "created:src/compact/provider.ts",
+                "created:src/compact/serializer.ts"
+              ],
+              "exitCode": 0
+            }
+          }
+        },
+        {
+          "ts": 1774689131682,
+          "type": "finding",
+          "content": "\"create-llm-engine\" completed → LLM_ENGINE_COMPLETE",
+          "significance": "medium"
+        },
+        {
+          "ts": 1774689137231,
+          "type": "completion-evidence",
+          "content": "\"create-prompts-parser\" verification-based completion — Verification passed (6 signal(s), 1 relevant channel post(s), 6 file change(s), exit=0; signals=COMPLETE, COMPLETE, COMPLETE, OpenAI Codex v0.116.0 (research preview), PROMPTS_PARSER_COMPLETE, **[create-prompts-parser] Output:**; channel=**[create-prompts-parser] Output:**\n```\nCreated [prompts.ts](/Users/khaliqgant/Projects/Agent%20Workforce/trajectories/src/compact/prompts.ts), [parser.ts](/Use; files=created:src/compact/index.ts, created:src/compact/markdown.ts, created:src/compact/parser.ts, created:src/compact/prompts.ts, created:src/compact/provider.ts, created:src/compact/serializer.ts; exit=0)",
+          "significance": "medium",
+          "raw": {
+            "stepName": "create-prompts-parser",
+            "completionMode": "verification",
+            "reason": "Verification passed",
+            "evidence": {
+              "summary": "6 signal(s), 1 relevant channel post(s), 6 file change(s), exit=0",
+              "signals": [
+                "COMPLETE",
+                "COMPLETE",
+                "COMPLETE",
+                "OpenAI Codex v0.116.0 (research preview)",
+                "PROMPTS_PARSER_COMPLETE",
+                "**[create-prompts-parser] Output:**"
+              ],
+              "channelPosts": [
+                "**[create-prompts-parser] Output:**\n```\nCreated [prompts.ts](/Users/khaliqgant/Projects/Agent%20Workforce/trajectories/src/compact/prompts.ts), [parser.ts](/Use"
+              ],
+              "files": [
+                "created:src/compact/index.ts",
+                "created:src/compact/markdown.ts",
+                "created:src/compact/parser.ts",
+                "created:src/compact/prompts.ts",
+                "created:src/compact/provider.ts",
+                "created:src/compact/serializer.ts"
+              ],
+              "exitCode": 0
+            }
+          }
+        },
+        {
+          "ts": 1774689137231,
+          "type": "finding",
+          "content": "\"create-prompts-parser\" completed → PROMPTS_PARSER_COMPLETE",
+          "significance": "medium"
+        }
+      ],
+      "endedAt": "2026-03-28T09:12:17.234Z"
+    },
+    {
+      "id": "ch_b2f5776c",
+      "title": "Convergence: create-llm-engine + create-prompts-parser",
+      "agentName": "orchestrator",
+      "startedAt": "2026-03-28T09:12:17.234Z",
+      "events": [
+        {
+          "ts": 1774689137236,
+          "type": "reflection",
+          "content": "create-llm-engine + create-prompts-parser resolved. 2/2 steps completed. All steps completed on first attempt. Unblocking: update-cli.",
+          "significance": "high",
+          "raw": {
+            "confidence": 1,
+            "focalPoints": [
+              "create-llm-engine: completed",
+              "create-prompts-parser: completed"
+            ]
+          }
+        }
+      ],
+      "endedAt": "2026-03-28T09:12:17.237Z"
+    },
+    {
+      "id": "ch_23ae0978",
+      "title": "Execution: update-cli",
+      "agentName": "cli-builder",
+      "startedAt": "2026-03-28T09:12:17.237Z",
+      "events": [
+        {
+          "ts": 1774689137237,
+          "type": "note",
+          "content": "\"update-cli\": Update the CLI compact command to use LLM compaction",
+          "raw": {
+            "agent": "cli-builder"
+          }
+        },
+        {
+          "ts": 1774689829605,
+          "type": "completion-evidence",
+          "content": "\"update-cli\" verification-based completion — Verification passed (5 signal(s), 1 relevant channel post(s), 5 file change(s), exit=0; signals=0, Updated [`src/cli/commands/compact.ts`](/Users/khaliqgant/Projects/Agent%20Workforce/trajectories/src/cli/commands/compact.ts) to support LLM compaction with mechanical fallback. The command now:, OpenAI Codex v0.116.0 (research preview), CLI_UPDATE_COMPLETE, **[update-cli] Output:**; channel=**[update-cli] Output:**\n```\n-selects LLM compaction when a provider is available unless `--mechanical` is set\n- keeps `loadTrajectories()` intact\n- uses the LL; files=modified:src/cli/commands/compact.ts, created:src/compact/config.ts, modified:src/compact/index.ts, modified:src/compact/provider.ts, created:tests/compact/llm-compact.test.ts; exit=0)",
+          "significance": "medium",
+          "raw": {
+            "stepName": "update-cli",
+            "completionMode": "verification",
+            "reason": "Verification passed",
+            "evidence": {
+              "summary": "5 signal(s), 1 relevant channel post(s), 5 file change(s), exit=0",
+              "signals": [
+                "0",
+                "Updated [`src/cli/commands/compact.ts`](/Users/khaliqgant/Projects/Agent%20Workforce/trajectories/src/cli/commands/compact.ts) to support LLM compaction with mechanical fallback. The command now:",
+                "OpenAI Codex v0.116.0 (research preview)",
+                "CLI_UPDATE_COMPLETE",
+                "**[update-cli] Output:**"
+              ],
+              "channelPosts": [
+                "**[update-cli] Output:**\n```\n-selects LLM compaction when a provider is available unless `--mechanical` is set\n- keeps `loadTrajectories()` intact\n- uses the LL"
+              ],
+              "files": [
+                "modified:src/cli/commands/compact.ts",
+                "created:src/compact/config.ts",
+                "modified:src/compact/index.ts",
+                "modified:src/compact/provider.ts",
+                "created:tests/compact/llm-compact.test.ts"
+              ],
+              "exitCode": 0
+            }
+          }
+        },
+        {
+          "ts": 1774689829605,
+          "type": "finding",
+          "content": "\"update-cli\" completed → CLI_UPDATE_COMPLETE",
+          "significance": "medium"
+        }
+      ],
+      "endedAt": "2026-03-28T09:23:49.608Z"
+    },
+    {
+      "id": "ch_dace44da",
+      "title": "Execution: review-compaction",
+      "agentName": "reviewer",
+      "startedAt": "2026-03-28T09:23:49.609Z",
+      "events": [
+        {
+          "ts": 1774689829609,
+          "type": "note",
+          "content": "\"review-compaction\": Review the LLM compaction system",
+          "raw": {
+            "agent": "reviewer"
+          }
+        },
+        {
+          "ts": 1774689979495,
+          "type": "completion-marker",
+          "content": "\"review-compaction\" marker-based completion — Legacy STEP_COMPLETE marker observed (6 signal(s), 3 relevant channel post(s); signals=**[update-cli] Review Complete**, COMPLETE, review-compaction, ▐▛███▜▌   Claude Code v2.1.71, COMPACTION_REVIEW_COMPLETE, review-compaction; channel=**[update-cli] Review Complete**\n\nVerified the LLM compaction implementation:\n\n- **Typecheck**: ✅ passes\n- **Tests**: ✅ 4/4 passing (serializer, parser, markdow | **[review-compaction] Review Complete**\n\nAll 10 verification points checked:\n\n1. **No new npm deps** - ✅ package.json unchanged; providers use raw `fetch`\n2. ** | **[review-compaction] Output:**\n```\n\n                                 defaults\\n9. **Mechanical with --mechanical** -\n                                 ✅ `should)",
+          "significance": "medium",
+          "raw": {
+            "stepName": "review-compaction",
+            "completionMode": "marker",
+            "reason": "Legacy STEP_COMPLETE marker observed",
+            "evidence": {
+              "summary": "6 signal(s), 3 relevant channel post(s)",
+              "signals": [
+                "**[update-cli] Review Complete**",
+                "COMPLETE",
+                "review-compaction",
+                "▐▛███▜▌   Claude Code v2.1.71",
+                "COMPACTION_REVIEW_COMPLETE",
+                "review-compaction"
+              ],
+              "channelPosts": [
+                "**[update-cli] Review Complete**\n\nVerified the LLM compaction implementation:\n\n- **Typecheck**: ✅ passes\n- **Tests**: ✅ 4/4 passing (serializer, parser, markdow",
+                "**[review-compaction] Review Complete**\n\nAll 10 verification points checked:\n\n1. **No new npm deps** - ✅ package.json unchanged; providers use raw `fetch`\n2. **",
+                "**[review-compaction] Output:**\n```\n\n                                 defaults\\n9. **Mechanical with --mechanical** -\n                                 ✅ `should"
+              ]
+            }
+          }
+        },
+        {
+          "ts": 1774689979496,
+          "type": "finding",
+          "content": "\"review-compaction\" completed → ✳",
+          "significance": "medium"
+        }
+      ],
+      "endedAt": "2026-03-28T09:26:19.497Z"
+    },
+    {
+      "id": "ch_56e8a010",
+      "title": "Execution: commit",
+      "agentName": "llm-builder",
+      "startedAt": "2026-03-28T09:26:19.497Z",
+      "events": [
+        {
+          "ts": 1774689979497,
+          "type": "note",
+          "content": "\"commit\": In /Users/khaliqgant/Projects/Agent Workforce/trajectories:",
+          "raw": {
+            "agent": "llm-builder"
+          }
+        },
+        {
+          "ts": 1774690181929,
+          "type": "completion-evidence",
+          "content": "\"commit\" verification-based completion — Verification passed (4 signal(s), exit=0; signals=0, OpenAI Codex v0.116.0 (research preview), OpenAI Codex v0.116.0 (research preview), COMMIT_COMPLETE; exit=0)",
+          "significance": "medium",
+          "raw": {
+            "stepName": "commit",
+            "completionMode": "verification",
+            "reason": "Verification passed",
+            "evidence": {
+              "summary": "4 signal(s), exit=0",
+              "signals": [
+                "0",
+                "OpenAI Codex v0.116.0 (research preview)",
+                "OpenAI Codex v0.116.0 (research preview)",
+                "COMMIT_COMPLETE"
+              ],
+              "exitCode": 0
+            }
+          }
+        },
+        {
+          "ts": 1774690181929,
+          "type": "finding",
+          "content": "\"commit\" completed → COMMIT_COMPLETE",
+          "significance": "medium"
+        }
+      ],
+      "endedAt": "2026-03-28T09:29:41.940Z"
+    },
+    {
+      "id": "ch_ad7eed65",
+      "title": "Retrospective",
+      "agentName": "orchestrator",
+      "startedAt": "2026-03-28T09:29:41.940Z",
+      "events": [
+        {
+          "ts": 1774690181940,
+          "type": "reflection",
+          "content": "All 6 steps completed in 23min. (completed in 23 minutes)",
+          "significance": "high"
+        }
+      ],
+      "endedAt": "2026-03-28T09:29:41.940Z"
+    }
+  ],
+  "completedAt": "2026-03-28T09:29:41.940Z",
+  "retrospective": {
+    "summary": "All 6 steps completed in 23min.",
+    "approach": "dag workflow (5 agents)",
+    "confidence": 1,
+    "learnings": [],
+    "challenges": []
+  }
+}
\ No newline at end of file
diff --git a/package-lock.json b/package-lock.json
index 5b18b43..af351a7 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -9,7 +9,10 @@
       "version": "0.5.2",
       "license": "MIT",
       "dependencies": {
+        "@agent-relay/sdk": "^3.2.22",
         "@clack/prompts": "^0.7.0",
+        "@relayauth/sdk": "^0.1.4",
+        "@relayfile/sdk": "^0.1.6",
         "commander": "^12.0.0",
         "zod": "^3.23.0"
       },
@@ -29,6 +32,94 @@
         "node": ">=20.0.0"
       }
     },
+    "node_modules/@agent-relay/config": {
+      "version": "3.2.22",
+      "resolved": "https://registry.npmjs.org/@agent-relay/config/-/config-3.2.22.tgz",
+      "integrity": "sha512-+/wHXQEcog7yjKMVdka1qzuYacv6J+K1z0Z6QJAXNVWC2xnNy58osnAE1AQfIweZQjd4PSaSpYMuHNjYrR2uDA==",
+      "dependencies": {
+        "zod": "^3.23.8",
+        "zod-to-json-schema": "^3.23.1"
+      }
+    },
+    "node_modules/@agent-relay/sdk": {
+      "version": "3.2.22",
+      "resolved": "https://registry.npmjs.org/@agent-relay/sdk/-/sdk-3.2.22.tgz",
+      "integrity": "sha512-ArDrpEodG+k2AoCaDC3PTOIqjhc3BW/Uvu1A87XsPYbU0jdLKgDaPbHBwfzj8cIculiDtvKp0mfPkrEkJU73kQ==",
+      "dependencies": {
+        "@agent-relay/config": "3.2.22",
+        "@relaycast/sdk": "^1.1.0",
+        "@sinclair/typebox": "^0.34.48",
+        "chalk": "^4.1.2",
+        "listr2": "^10.2.1",
+        "ws": "^8.18.3",
+        "yaml": "^2.7.0"
+      },
+      "peerDependencies": {
+        "@anthropic-ai/claude-agent-sdk": ">=0.1.0",
+        "@google/adk": ">=0.5.0",
+        "@langchain/langgraph": ">=1.2.0",
+        "@mariozechner/pi-coding-agent": ">=0.50.0",
+        "@openai/agents": ">=0.7.0",
+        "ai": ">=5.0.0",
+        "crewai": ">=1.0.0"
+      },
+      "peerDependenciesMeta": {
+        "@anthropic-ai/claude-agent-sdk": {
+          "optional": true
+        },
+        "@google/adk": {
+          "optional": true
+        },
+        "@langchain/langgraph": {
+          "optional": true
+        },
+        "@mariozechner/pi-coding-agent": {
+          "optional": true
+        },
+        "@openai/agents": {
+          "optional": true
+        },
+        "ai": {
+          "optional": true
+        },
+        "crewai": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@agent-relay/sdk/node_modules/listr2": {
+      "version": "10.2.1",
+      "resolved": "https://registry.npmjs.org/listr2/-/listr2-10.2.1.tgz",
+      "integrity": "sha512-7I5knELsJKTUjXG+A6BkKAiGkW1i25fNa/xlUl9hFtk15WbE9jndA89xu5FzQKrY5llajE1hfZZFMILXkDHk/Q==",
+      "license": "MIT",
+      "dependencies": {
+        "cli-truncate": "^5.2.0",
+        "eventemitter3": "^5.0.4",
+        "log-update": "^6.1.0",
+        "rfdc": "^1.4.1",
+        "wrap-ansi": "^10.0.0"
+      },
+      "engines": {
+        "node": ">=22.13.0"
+      }
+    },
+    "node_modules/@agent-relay/sdk/node_modules/wrap-ansi": {
+      "version": "10.0.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-10.0.0.tgz",
+      "integrity": "sha512-SGcvg80f0wUy2/fXES19feHMz8E0JoXv2uNgHOu4Dgi2OrCy1lqwFYEJz1BLbDI0exjPMe/ZdzZ/YpGECBG/aQ==",
+      "license": "MIT",
+      "dependencies": {
+        "ansi-styles": "^6.2.3",
+        "string-width": "^8.2.0",
+        "strip-ansi": "^7.1.2"
+      },
+      "engines": {
+        "node": ">=20"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+      }
+    },
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       "integrity": "sha512-mplynKqc1C2hTVYxd0PU2xQAc22TI1vShAYGksCCfxbn/dFwnHTNi1bvYsBTkhdUNtGIf5xNOg938rrSSYvS9A==",
-      "dev": true,
       "license": "ISC",
       "bin": {
         "yaml": "bin.mjs"
@@ -3175,6 +3425,15 @@
       "funding": {
         "url": "https://github.com/sponsors/colinhacks"
       }
+    },
+    "node_modules/zod-to-json-schema": {
+      "version": "3.25.2",
+      "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.2.tgz",
+      "integrity": "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA==",
+      "license": "ISC",
+      "peerDependencies": {
+        "zod": "^3.25.28 || ^4"
+      }
     }
   }
 }
diff --git a/package.json b/package.json
index 79f130f..87c1183 100644
--- a/package.json
+++ b/package.json
@@ -46,12 +46,17 @@
     "type": "git",
     "url": "https://github.com/AgentWorkforce/trajectories"
   },
-  "files": ["dist"],
+  "files": [
+    "dist"
+  ],
   "engines": {
     "node": ">=20.0.0"
   },
   "dependencies": {
+    "@agent-relay/sdk": "^3.2.22",
     "@clack/prompts": "^0.7.0",
+    "@relayauth/sdk": "^0.1.4",
+    "@relayfile/sdk": "^0.1.6",
     "commander": "^12.0.0",
     "zod": "^3.23.0"
   },
diff --git a/workflows/llm-compaction.ts b/workflows/llm-compaction.ts
new file mode 100644
index 0000000..99e0b41
--- /dev/null
+++ b/workflows/llm-compaction.ts
@@ -0,0 +1,376 @@
+/**
+ * llm-compaction.ts
+ *
+ * Workflow: Replace the mechanical compaction in compact.ts with
+ * LLM-powered intelligent summarization.
+ *
+ * Current state: compactTrajectories() does keyword-based decision grouping
+ * and string deduplication. No understanding of what actually happened.
+ *
+ * Target state: An LLM reads raw trajectory data (chapters, events, decisions,
+ * findings, retrospectives) and produces:
+ *   1. A narrative summary of what was accomplished
+ *   2. Key decisions with real reasoning (not keyword-matched categories)
+ *   3. Extracted conventions/patterns that should inform future work
+ *   4. Lessons learned from failures/challenges
+ *   5. A compact .md file that's actually useful to read
+ *
+ * The LLM compaction should work with any provider (OpenAI, Anthropic, local)
+ * via a simple chat completion interface.
+ *
+ * Run: agent-relay run workflows/llm-compaction.ts
+ */
+
+import { workflow } from "@agent-relay/sdk/workflows";
+
+const TRAJ_ROOT = "/Users/khaliqgant/Projects/Agent Workforce/trajectories";
+
+async function main() {
+  const result = await workflow("llm-compaction")
+    .description(
+      "Replace mechanical trajectory compaction with LLM-powered intelligent summarization",
+    )
+    .pattern("dag")
+    .channel("wf-llm-compaction")
+    .maxConcurrency(4)
+    .timeout(3_600_000)
+
+    .agent("architect", {
+      cli: "claude",
+      role: "Designs the LLM compaction system",
+    })
+    .agent("llm-builder", {
+      cli: "codex",
+      preset: "worker",
+      role: "Builds the LLM compaction engine",
+    })
+    .agent("prompt-builder", {
+      cli: "codex",
+      preset: "worker",
+      role: "Builds prompts and output parsing",
+    })
+    .agent("cli-builder", {
+      cli: "codex",
+      preset: "worker",
+      role: "Updates the CLI compact command",
+    })
+    .agent("reviewer", { cli: "claude", role: "Reviews the implementation" })
+
+    .step("design-llm-compaction", {
+      agent: "architect",
+      task: `Design the LLM-powered trajectory compaction system.
+
+Read these files:
+- ${TRAJ_ROOT}/src/cli/commands/compact.ts (current mechanical compaction — ~400 lines)
+- ${TRAJ_ROOT}/src/core/types.ts (Trajectory, Chapter, TrajectoryEvent, Decision, Finding, Retrospective types)
+- ${TRAJ_ROOT}/src/core/trajectory.ts (trajectory lifecycle)
+
+Current problems with compactTrajectories():
+1. Groups decisions by keyword matching ("architecture", "api", "database") — misses nuance
+2. Just dedupes learnings as strings — doesn't synthesize
+3. Produces a JSON blob — not a readable document
+4. No understanding of what was attempted vs what worked
+5. No extraction of reusable patterns/conventions
+
+Design the replacement:
+
+1. **LLM Provider Interface** (${TRAJ_ROOT}/src/compact/provider.ts):
+   - CompactionLLM interface: { complete(messages, options): string }
+   - OpenAIProvider, AnthropicProvider, LocalProvider implementations
+   - Config from env: TRAJECTORIES_LLM_PROVIDER, TRAJECTORIES_LLM_MODEL, API key
+   - Fallback: if no LLM configured, use current mechanical compaction
+
+2. **Trajectory Serializer** (${TRAJ_ROOT}/src/compact/serializer.ts):
+   - serializeForLLM(trajectories): string — converts raw trajectories to a
+     structured text format the LLM can read efficiently
+   - Strips noise (raw tool call data, low-significance events)
+   - Keeps: decisions, findings, errors, high-significance events, retrospectives
+   - Budgets tokens: truncate chapters beyond a max (configurable)
+   - Includes file-level context: "Files changed: src/auth.ts, src/db/schema.ts"
+
+3. **Compaction Prompts** (${TRAJ_ROOT}/src/compact/prompts.ts):
+   - COMPACTION_SYSTEM_PROMPT: role definition for the summarizer
+   - COMPACTION_USER_PROMPT: template with serialized trajectories
+   - Output format: structured JSON with narrative sections
+   - Prompt engineering for consistency: "You are reviewing N agent work sessions..."
+
+4. **Output Parser** (${TRAJ_ROOT}/src/compact/parser.ts):
+   - Parse LLM JSON response into CompactedTrajectory
+   - Validate required fields
+   - Fallback: if LLM returns invalid JSON, extract what we can
+
+5. **Compacted Output Format** — enhanced from current:
+   - narrative: string — 2-3 paragraph summary of what happened
+   - decisions: Array<{ question, chosen, reasoning, impact }> — LLM-analyzed
+   - conventions: Array<{ pattern, rationale, scope }> — extracted conventions
+   - lessons: Array<{ lesson, context, recommendation }> — synthesized learnings
+   - openQuestions: string[] — things left unresolved
+   - filesAffected: string[] — keep as-is
+   - commits: string[] — keep as-is
+
+6. **Markdown Output** (${TRAJ_ROOT}/src/compact/markdown.ts):
+   - Generate a readable .md file alongside the JSON
+   - Sections: Summary, Key Decisions, Conventions Established, Lessons Learned, Open Questions
+   - This is what humans actually read
+
+Output: interfaces, file structure, prompt outline, token budget strategy.
+Keep output under 100 lines. End with DESIGN_COMPACTION_COMPLETE.`,
+      verification: {
+        type: "output_contains",
+        value: "DESIGN_COMPACTION_COMPLETE",
+      },
+      timeout: 300_000,
+    })
+
+    .step("create-llm-engine", {
+      agent: "llm-builder",
+      dependsOn: ["design-llm-compaction"],
+      task: `Build the LLM compaction engine.
+
+Design: {{steps.design-llm-compaction.output}}
+
+Create in ${TRAJ_ROOT}/src/compact/:
+
+1. provider.ts — LLM provider interface + implementations:
+   - CompactionLLM interface: complete(messages: Message[], options?: CompletionOptions): Promise<string>
+   - Message: { role: 'system' | 'user' | 'assistant', content: string }
+   - CompletionOptions: { maxTokens?: number, temperature?: number, jsonMode?: boolean }
+   - OpenAIProvider: uses fetch to POST /v1/chat/completions (no SDK dep)
+     Env: OPENAI_API_KEY, TRAJECTORIES_LLM_MODEL (default: gpt-4o)
+   - AnthropicProvider: uses fetch to POST /v1/messages
+     Env: ANTHROPIC_API_KEY, TRAJECTORIES_LLM_MODEL (default: claude-sonnet-4-20250514)
+   - resolveProvider(): auto-detect from env vars, fallback to null
+   - No new npm dependencies — raw fetch only
+
+2. serializer.ts — Trajectory → LLM-readable text:
+   - serializeForLLM(trajectories: Trajectory[], maxTokens?: number): string
+   - For each trajectory:
+     - Header: "## Session: {title} ({status}, {duration})"
+     - Agents: who participated and their roles
+     - Chapters: title + high/medium/critical events only (skip low)
+     - Decisions: full question + chosen + reasoning
+     - Findings: what + where + significance
+     - Retrospective: summary + approach + challenges + learnings
+     - Files changed + commits
+   - Token budgeting: estimate ~4 chars per token
+     If total > maxTokens (default 30000), truncate chapters proportionally
+   - Skip: raw tool call data, tool results, low-significance events
+
+3. index.ts — Re-export everything
+
+End with LLM_ENGINE_COMPLETE.`,
+      verification: { type: "output_contains", value: "LLM_ENGINE_COMPLETE" },
+      timeout: 900_000,
+    })
+
+    .step("create-prompts-parser", {
+      agent: "prompt-builder",
+      dependsOn: ["design-llm-compaction"],
+      task: `Build the compaction prompts and output parser.
+
+Design: {{steps.design-llm-compaction.output}}
+
+Create in ${TRAJ_ROOT}/src/compact/:
+
+1. prompts.ts — Compaction prompt templates:
+
+   COMPACTION_SYSTEM_PROMPT:
+   "You are a technical analyst reviewing agent work sessions (trajectories).
+    Your job is to produce a concise, insightful summary that captures:
+    - What was accomplished and how
+    - Key decisions and their reasoning
+    - Patterns/conventions established that should be followed in future work
+    - Lessons learned from challenges and failures
+    - Open questions or unresolved issues
+    
+    Be specific. Reference actual file paths, function names, and technical details.
+    Don't be generic — this summary replaces the raw data."
+
+   buildCompactionPrompt(serializedTrajectories: string, options?: PromptOptions): Message[]
+   - Constructs system + user messages
+   - User message includes the serialized trajectories
+   - Requests structured JSON output matching CompactedOutput schema
+   - Includes output schema in the prompt for format guidance
+
+   PromptOptions: { focusAreas?: string[], maxOutputTokens?: number }
+
+2. parser.ts — Parse LLM response:
+   - parseCompactionResponse(llmOutput: string): LLMCompactedOutput
+   - LLMCompactedOutput: {
+       narrative: string,
+       decisions: Array<{ question, chosen, reasoning, impact }>,
+       conventions: Array<{ pattern, rationale, scope }>,
+       lessons: Array<{ lesson, context, recommendation }>,
+       openQuestions: string[],
+     }
+   - Try JSON.parse first
+   - If fails: try extracting JSON from markdown code blocks
+   - If fails: try extracting sections from prose (regex for ## headers)
+   - Validate: narrative required, decisions/conventions/lessons arrays
+   - Merge with mechanical data (files, commits, agents) for full CompactedTrajectory
+
+3. markdown.ts — Generate readable .md:
+   - generateCompactionMarkdown(compacted: CompactedTrajectory & LLMCompactedOutput): string
+   - Format:
+     # Trajectory Compaction: {dateRange}
+     
+     ## Summary
+     {narrative}
+     
+     ## Key Decisions ({count})
+     | Question | Decision | Impact |
+     |----------|----------|--------|
+     
+     ## Conventions Established
+     - **{pattern}**: {rationale} (scope: {scope})
+     
+     ## Lessons Learned
+     - {lesson} — {recommendation}
+     
+     ## Open Questions
+     - {question}
+     
+     ## Stats
+     - Sessions: {count}, Agents: {names}, Files: {count}, Commits: {count}
+     - Date range: {start} - {end}
+
+End with PROMPTS_PARSER_COMPLETE.`,
+      verification: {
+        type: "output_contains",
+        value: "PROMPTS_PARSER_COMPLETE",
+      },
+      timeout: 900_000,
+    })
+
+    .step("update-cli", {
+      agent: "cli-builder",
+      dependsOn: ["create-llm-engine", "create-prompts-parser"],
+      task: `Update the CLI compact command to use LLM compaction.
+
+Modify ${TRAJ_ROOT}/src/cli/commands/compact.ts:
+
+1. Add --llm flag (default: true if LLM provider detected, false otherwise)
+2. Add --mechanical flag to force old behavior
+3. Add --focus <areas> flag: comma-separated focus areas for the LLM
+4. Add --markdown flag (default: true): also output .md file
+
+Updated flow:
+a) Load trajectories (existing loadTrajectories — keep as-is)
+b) If --mechanical or no LLM provider: use existing compactTrajectories()
+c) If LLM available:
+   1. serializeForLLM(trajectories) → text
+   2. buildCompactionPrompt(text, options) → messages
+   3. provider.complete(messages) → llmOutput
+   4. parseCompactionResponse(llmOutput) → llmCompacted
+   5. Merge with mechanical data (files, commits, agents)
+   6. Save JSON to .trajectories/compacted/
+   7. Save .md alongside if --markdown
+   8. Print summary
+
+d) Keep dry-run working with LLM (show prompt + estimated tokens)
+e) Show cost estimate: "Estimated: ~{tokens} input tokens, ~{output} output tokens"
+
+Also create:
+- ${TRAJ_ROOT}/src/compact/config.ts — Configuration:
+  - getCompactionConfig(): reads from env or .trajectories/config.json
+  - Config: { provider, model, maxInputTokens, maxOutputTokens, temperature }
+  - Defaults: provider=auto, maxInput=30000, maxOutput=4000, temperature=0.3
+
+Add tests:
+- ${TRAJ_ROOT}/tests/compact/llm-compact.test.ts
+  - Test serializer with sample trajectories
+  - Test parser with sample LLM output
+  - Test markdown generation
+  - Test fallback to mechanical when no LLM
+
+End with CLI_UPDATE_COMPLETE.`,
+      verification: { type: "output_contains", value: "CLI_UPDATE_COMPLETE" },
+      timeout: 900_000,
+    })
+
+    .step("review-compaction", {
+      agent: "reviewer",
+      dependsOn: ["update-cli"],
+      task: `Review the LLM compaction system.
+
+Files:
+- ${TRAJ_ROOT}/src/compact/provider.ts
+- ${TRAJ_ROOT}/src/compact/serializer.ts
+- ${TRAJ_ROOT}/src/compact/prompts.ts
+- ${TRAJ_ROOT}/src/compact/parser.ts
+- ${TRAJ_ROOT}/src/compact/markdown.ts
+- ${TRAJ_ROOT}/src/compact/config.ts
+- ${TRAJ_ROOT}/src/compact/index.ts
+- ${TRAJ_ROOT}/src/cli/commands/compact.ts (modified)
+- ${TRAJ_ROOT}/tests/compact/llm-compact.test.ts
+
+Verify:
+1. No new npm dependencies (raw fetch only for LLM calls)
+2. Graceful fallback: no API key → mechanical compaction
+3. Token budgeting prevents exceeding model context window
+4. Parser handles malformed LLM output without crashing
+5. Prompt is specific enough to get useful output, not generic summaries
+6. Markdown output is clean and readable
+7. Dry-run shows prompt + cost estimate without calling LLM
+8. Config can be set via env vars OR .trajectories/config.json
+9. Existing mechanical compaction still works with --mechanical flag
+10. Tests cover serializer, parser, markdown, and fallback
+
+Fix issues. Keep output under 50 lines. End with COMPACTION_REVIEW_COMPLETE.`,
+      verification: {
+        type: "output_contains",
+        value: "COMPACTION_REVIEW_COMPLETE",
+      },
+      timeout: 300_000,
+    })
+
+    .step("commit", {
+      agent: "llm-builder",
+      dependsOn: ["review-compaction"],
+      task: `In ${TRAJ_ROOT}:
+1. git checkout -b feat/llm-compaction
+2. git add src/compact/ src/cli/commands/compact.ts tests/compact/
+3. git commit -m "feat: LLM-powered trajectory compaction
+
+Replaces mechanical keyword-based compaction with intelligent LLM summarization.
+
+New compact/ module:
+  - provider.ts: OpenAI + Anthropic providers (raw fetch, no deps)
+  - serializer.ts: trajectory → LLM-readable text with token budgeting
+  - prompts.ts: system + user prompts for compaction
+  - parser.ts: parse LLM JSON output with fallbacks
+  - markdown.ts: generate readable .md summaries
+  - config.ts: env vars or .trajectories/config.json
+
+CLI updates:
+  - trail compact now uses LLM by default (if API key present)
+  - --mechanical flag for old behavior
+  - --focus <areas> for targeted summaries
+  - --markdown flag (default: true) for .md output
+  - Dry-run shows prompt + cost estimate
+
+Output includes:
+  - Narrative summary (what happened, how)
+  - Key decisions with reasoning and impact
+  - Extracted conventions/patterns for future work
+  - Synthesized lessons from challenges
+  - Open questions / unresolved issues
+
+Backwards compatible: falls back to mechanical if no LLM provider."
+4. git push origin feat/llm-compaction
+
+Report commit hash. End with COMMIT_COMPLETE.`,
+      verification: { type: "output_contains", value: "COMMIT_COMPLETE" },
+      timeout: 120_000,
+    })
+
+    .onError("retry", { maxRetries: 1, retryDelayMs: 10_000 })
+    .run({ cwd: process.cwd() });
+
+  console.log("LLM compaction complete:", result.status);
+}
+
+main().catch((error) => {
+  console.error(error);
+  process.exitCode = 1;
+});