HaHafeng
dfc472810b
Completed features: - Created Dify dataset (Dify_test0102) with 2 processed documents - Linked test0102 project with Dify dataset ID - Extended intent detection to recognize query_protocol intent - Implemented queryDifyKnowledge method (semantic search Top 5) - Integrated hybrid retrieval (REDCap data + Dify documents) - Fixed AI hallucination bugs (intent detection + API field path) - Developed debugging scripts - Completed end-to-end testing (5 scenarios passed) - Generated comprehensive documentation (600+ lines) - Updated development plans and module status Technical highlights: - Single project single knowledge base architecture - Smart routing based on user intent - Prevent AI hallucination by injecting real data/documents - Session memory for multi-turn conversations - Reused LLMFactory for DeepSeek-V3 integration Bug fixes: - Fixed intent detection missing keywords - Fixed Dify API response field path error Testing: All scenarios verified in WeChat production environment Status: Fully tested and deployed
34 lines
790 B
Plaintext
34 lines
790 B
Plaintext
feat(iit): Initialize IIT Manager Agent MVP - Day 1 foundation complete
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Summary:
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- Launch IIT Manager Agent (AI-driven IIT research assistant)
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- Complete Day 1/14: Database schema, module structure, WeChat integration
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Database Layer:
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- Add iit_schema with 5 tables
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- Include V1.1 fields: cachedRules, lastSyncAt, miniProgramOpenId
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- All CRUD tests passed
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Module Structure:
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- Create backend/src/modules/iit-manager/
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- 223 lines TypeScript types
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- Health check endpoint working
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WeChat Integration:
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- App registered: CorpID ww6ab493470ab4f377
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- Access Token verified successfully
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Documentation:
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- Update system status doc v2.3 -> v2.4
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- Complete IIT doc structure
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- Technical plan V1.1 (2170 lines)
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- MVP task list (615 lines)
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Status: Day 1 complete (11/11 tasks), ready for Day 2
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