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MerCry 66fa2d2677 feat(ai-service): implement confidence calculation for T3.3 [AC-AISVC-17, AC-AISVC-18, AC-AISVC-19] 
- Add ConfidenceCalculator class for confidence scoring
- Implement retrieval insufficiency detection (hit count, score threshold, evidence tokens)
- Implement confidence calculation based on retrieval scores
- Implement shouldTransfer logic with configurable threshold
- Add transferReason for low confidence scenarios
- Add comprehensive unit tests (19 test cases)
- Update config with confidence-related settings
 		2026-02-24 13:31:42 +08:00
..
app feat(ai-service): implement confidence calculation for T3.3 [AC-AISVC-17, AC-AISVC-18, AC-AISVC-19] 2026-02-24 13:31:42 +08:00
tests feat(ai-service): implement confidence calculation for T3.3 [AC-AISVC-17, AC-AISVC-18, AC-AISVC-19] 2026-02-24 13:31:42 +08:00
README.md feat(ai-service): implement LLM Adapter for T3.1 [AC-AISVC-02, AC-AISVC-06] 2026-02-24 13:19:38 +08:00
pyproject.toml feat(ai-service): implement LLM Adapter for T3.1 [AC-AISVC-02, AC-AISVC-06] 2026-02-24 13:19:38 +08:00

README.md

AI Service

Python AI Service for intelligent chat with RAG support.

Features

  • Multi-tenant isolation via X-Tenant-Id header
  • SSE streaming support via Accept: text/event-stream
  • RAG-powered responses with confidence scoring

Installation

pip install -e ".[dev]"

Running

uvicorn app.main:app --host 0.0.0.0 --port 8080

API Endpoints

  • POST /ai/chat - Generate AI reply
  • GET /ai/health - Health check