EmpathRAG / eval /README_multiturn_eval.md
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# Multi-Turn Evaluation Harness
This harness evaluates the V2.5 fast backend without loading the full local LLM stack.
Run:
```powershell
$env:PYTHONIOENCODING='utf-8'
.\venv\Scripts\python.exe eval\run_multiturn_eval.py
```
Inputs:
- `eval/multiturn_scenarios.jsonl`
Default output:
- `eval/multiturn_results.json`
Metrics:
- route accuracy
- safety tier accuracy
- missed escalation count
- unsafe generation count
- pure-validation/no-action count
- ungrounded action count
- average latency
This is a deterministic project harness, not a clinical validation.