UC-0A Fix taxonomy drift & severity blindness: naive prompt invents c… - #27
UC-0A Fix taxonomy drift & severity blindness: naive prompt invents c…#27workstation-stack wants to merge 4 commits into
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…ategory names and misses urgent keywords like hospitalised/collapsed -> restricted category to allowed list enum, added inflected urgent keyword variants (hospitalised, collapsed), keyword-based classifier with NEEDS_REVIEW for ambiguity
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- agents.md: role, intent, context, 5 enforcement rules - skills.md: chunk_documents and retrieve_and_answer specs - rag_server.py: chunking (max 400 tokens, sentence boundaries), ChromaDB indexing with L2 distance, retrieval with 0.30 threshold, LLM prompt with context grounding, refusal template for OOS
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Hi there, participant! Thanks for joining our RAG-to-MCP Workshop! We're reviewing your PR for the 3 Use Cases (UC-0A, UC-RAG, UC-MCP). Once your submission is validated and merged, you'll be awarded your completion badge! Next Steps:
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Hi there, participant! Thanks for joining our RAG-to-MCP Workshop! We're reviewing your PR for the 3 Use Cases (UC-0A, UC-RAG, UC-MCP). Once your submission is validated and merged, you'll be awarded your completion badge! Next Steps:
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…t path raised FileNotFoundError, naive_query called None as function -> added os.path.isdir guards and None checks
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Hi there, participant! Thanks for joining our RAG-to-MCP Workshop! We're reviewing your PR for the 3 Use Cases (UC-0A, UC-RAG, UC-MCP). Once your submission is validated and merged, you'll be awarded your completion badge! Next Steps:
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… -> added CMC policy scope + refusal note with JSON-RPC 2.0 enforcement
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Hi there, participant! Thanks for joining our RAG-to-MCP Workshop! We're reviewing your PR for the 3 Use Cases (UC-0A, UC-RAG, UC-MCP). Once your submission is validated and merged, you'll be awarded your completion badge! Next Steps:
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…ategory names and misses urgent keywords like hospitalised/collapsed -> restricted category to allowed list enum, added inflected urgent keyword variants (hospitalised, collapsed), keyword-based classifier with NEEDS_REVIEW for ambiguity