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57 Commits

Author SHA1 Message Date
chiguyong 11a12fed29 docs: mark Phase 5 plan as completed 2026-06-06 22:53:14 +08:00
chiguyong 6e362a8ae7 feat(agentkit): Phase 4 enterprise production upgrade — 12 Implementation Units 
Phase A (P0): EpisodicMemory pgvector search+EmbeddingCache, ReAct timeout+CancellationToken, evolution system fix (A/B test+LLMPromptOptimizer+StrategyTuner), AnthropicProvider native Messages API
Phase B (P1): RetryPolicy+CircuitBreaker, chat_stream fallback chain, WebSocket endpoint, SSE stream fix, Evolution+Memory API routes (7 endpoints), embedding cache+Enhanced Search per-KB degradation fix
Phase C (P2): GeminiProvider native generateContent API, Agent state lock+config hot-reload

Tests: 1301 passed, 18 skipped, 0 failed
 2026-06-06 21:51:04 +08:00
chiguyong e33dc25ad3 feat(memory): RAG pipeline optimization — 5 Implementation Units 
U1: QueryTransformer — LLM/rule-based query rewriting + sub-query decomposition
U2: HttpRAGService enhanced_search() — rerank + compression via /bases/{kb_id}/retrieve
U3: Structured context injection — source attribution headers in RAG results
U4: RetrieveKnowledgeTool — built-in tool for mid-reasoning knowledge retrieval
U5: Configurable retrieval params + per-KB weights + CJK token estimation

Config example:
  memory:
    retrieval:
      top_k: 5
      token_budget: 2000
      context_template: structured
    query_transform:
      enabled: true
      strategy: llm
    semantic:
      search_mode: enhanced
      use_rerank: true
      kb_weights:
        industry-kb-id: 1.2
        enterprise-kb-id: 0.8

Tests: 1037 passed, 18 skipped, 0 failed
 2026-06-06 19:27:09 +08:00
chiguyong f976fade99 docs: mark Phase 3 upgrade plan as completed 2026-06-06 17:18:07 +08:00
chiguyong f858d279f3 feat(agentkit): Phase 3 upgrade - persistence, memory, evolution, observability 
10 Implementation Units across 3 phases:

Phase A - Infrastructure:
- U1: RedisTaskStore with Redis/memory backend + factory function
- U2: TraceRecorder for execution trace recording
- U3: PersistentEvolutionStore with SQLite backend

Phase B - Core Capabilities:
- U4: MemoryRetriever integration into ReAct engine
- U5: Embedder abstraction + EpisodicMemory vector search
- U6: LLMReflector for LLM-in-the-loop reflection
- U7: SkillPipeline for multi-skill orchestration

Phase C - Enhancement:
- U8: SKILL.md format + progressive disclosure levels
- U9: ContextCompressor + prompt cache rendering
- U10: Structured logging + metrics endpoint + enhanced health check

Tests: 924 passed, 18 skipped, 0 failed
 2026-06-06 17:17:45 +08:00
chiguyong b2709da08b feat(cli): AgentKit CLI with serve/version/health/task/skill/init/usage 
U1: CLI framework (Typer) + serve/version/health commands + __main__.py + pyproject scripts
U2: task command group (submit/status/list/cancel) with remote mode
U3: skill command group (list/load/info) with local and remote modes
U4: init command (generates agentkit.yaml/.env.example/docker-compose/skills) + usage command

31 tests passing, TDD workflow.
 2026-06-06 12:45:51 +08:00
chiguyong f87b790c0f feat(agentkit): v2 Phase 1 - ReAct/LLM Gateway/Skill/Server + review fixes 
535 unit + 52 integration tests passing. README added.
 2026-06-05 23:32:16 +08:00