| # Multi-Turn Evaluation Harness | |
| This harness evaluates the current EmpathRAG 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. | |