chiguyong
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f858d279f3
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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
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2026-06-06 17:17:45 +08:00 |
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chiguyong
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669ca604e5
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feat(configs): add GEO AgentKit Server configuration
- llm_config.yaml: DeepSeek + OpenAI-compatible providers with env var substitution
- skills/ (8 YAML): citation_detector, content_generator, deai_agent, geo_optimizer,
monitor, schema_advisor, competitor_analyzer, trend_agent
- Added intent fields for content_generator, competitor_analyzer, trend_agent
- Added quality_gate fields for content_generator, deai_agent, geo_optimizer
- Updated custom_handler paths to configs.geo_handlers
- geo_tools.py: 14 FunctionTools calling GEO Backend via HTTP
- geo_handlers.py: 3 custom handlers (citation/monitor/schema) calling /internal/ API
- geo_server.py: FastAPI factory with LLM Gateway, Tool Registry, Skill Registry
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2026-06-05 23:25:14 +08:00 |