File size: 1,338 Bytes
8c10cf2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | # EmailResponder-MCP Evaluation Tools
Evaluation scripts for analyzing model performance on the EmailResponder-MCP task.
## Scripts
### evaluate_success.py
Calculates success rates for each model based on execution logs.
```bash
python evaluate_success.py
```
Outputs:
- `success-finish_detailed_results.json` - Detailed results per session
- `success-finish_rate.csv` - Summary statistics
### evaluate_trajectory.py
Evaluates trajectory metrics comparing actual execution paths against reference trajectory.
```bash
python evaluate_trajectory.py --config reference_trajectory.yaml --output evaluation_results.csv
```
Metrics:
- Exact match
- In-order match
- Any-order match
- Precision / Recall
- Single-tool use
- Path diversity (unique_path_ratio, path_entropy)
### analyze_retry_patterns.py
Analyzes retry patterns and error distributions across models.
```bash
python analyze_retry_patterns.py
```
Outputs:
- `retry_analysis.json` - Detailed retry analysis
- `retry_summary.csv` - Retry statistics summary
- `error_by_agent.csv` - Error counts by agent
## Configuration
Edit `reference_trajectory.yaml` to customize:
- Reference trajectory (ground truth)
- Target tools for single-tool use metric
- Models to evaluate
- Extraction types (SPAN, Chain, AGENT, LLM, Tool)
## Requirements
- Python 3.7+
- pandas
- pyyaml
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