chiguyong
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2e547e345a
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feat(geo): U4 GEO skill tool binding with BaiduSearch and E2E tests
Add BaiduSearchTool (API mode + scraping fallback), bind tools to
GEO skill YAML configs (baidu_search, web_crawl, schema_extract,
schema_generate), extend geo_full_pipeline with generate_content
and deai steps, add 36 E2E integration tests.
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2026-06-07 17:25:37 +08:00 |
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chiguyong
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1390bd8d6e
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feat(skills): U5 GEO Pipeline orchestration with DAG execution
- GEOPipeline: YAML-driven DAG pipeline with parallel/sequential execution
- PipelineStep with input_mapping ($.input.xxx, $.steps.name.output.xxx)
- Topological sort for execution groups, SharedWorkspace integration
- geo_full_pipeline.yaml: detect→analyze→optimize→track workflow
- 10 tests passing
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2026-06-06 22:34:24 +08:00 |
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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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2844eeb548
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feat(streaming): Phase C - LLM streaming + ReAct events + SSE endpoint
U8: StreamChunk protocol + OpenAI chat_stream + Gateway streaming with usage tracking
U9: ReActEvent dataclass + execute_stream() yielding thinking/tool_call/tool_result/final_answer
U10: POST /tasks/stream SSE endpoint + Client SDK stream_task()
15 new tests passing, no regression.
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2026-06-06 11:54:17 +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 |