| # EmailResponder Evaluation Scripts |
|
|
| This directory contains evaluation scripts for analyzing the EmailResponder project results across different LLM models. |
|
|
| ## Scripts |
|
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| ### 1. analyze_retry_patterns.py |
| Analyzes RETRY patterns in EmailResponder project execution paths. |
|
|
| **Features:** |
| - Extracts error information from execution paths |
| - Counts RETRY attempts and locations |
| - Calculates error rates and RETRY rates per model |
| - Generates detailed statistics by agent and node type |
|
|
| **Output:** |
| - `retry_analysis.json` - Detailed JSON results |
| - `retry_summary.csv` - Summary statistics |
| - `error_by_agent.csv` - Error statistics by agent |
|
|
| **Usage:** |
| ```bash |
| python3 analyze_retry_patterns.py |
| ``` |
|
|
| ### 2. evaluate_success.py |
| Calculates success rates for each model in EmailResponder tasks. |
| |
| **Features:** |
| - Analyzes execution results from test sessions |
| - Computes success/failure rates per model |
| - Tracks individual session outcomes |
| |
| **Output:** |
| - `success-finish_detailed_results.json` - Detailed results |
| - `success-finish_rate.csv` - Success rate summary |
|
|
| **Usage:** |
| ```bash |
| python3 evaluate_success.py |
| ``` |
|
|
| ### 3. evaluate_trajectory.py |
| Evaluates trajectory metrics for EmailResponder project. |
| |
| **Features:** |
| - Parses execution paths and extracts trajectories |
| - Evaluates 6 trajectory metrics: |
| - Exact match |
| - In-order match |
| - Any-order match |
| - Precision |
| - Recall |
| - Single-tool use |
| - Calculates path diversity and entropy |
| |
| **Output:** |
| - CSV file with evaluation results |
| |
| **Usage:** |
| ```bash |
| python3 evaluate_trajectory.py --config reference_trajectory.yaml --output evaluation_results.csv |
| ``` |
| |
| **Arguments:** |
| - `--config` - Reference trajectory config file (YAML format) |
| - `--base-dir` - RESULTS directory path (defaults to two levels up) |
| - `--output` - Output CSV file path |
| - `--format` - Output format (csv only) |
| |
| ## Configuration |
| |
| ### reference_trajectory.yaml |
| Defines the reference trajectory (ground truth) for evaluation. |
| |
| **Key sections:** |
| - `project_name` - Project identifier |
| - `extract_types` - Node types to extract (SPAN, Chain, AGENT, LLM, Tool) |
| - `reference_trajectory` - Expected execution sequence |
| - `target_tools` - Tools to track for single-tool use metric |
| - `models` - List of models to evaluate |
| |
| ## Models Evaluated |
| |
| - GPT-5 |
| - GPT-4o-mini |
| - DeepSeek-V3-1 |
| - DeepSeek-R1 |
| - Gemini-2.5-flash |
| - Gemini-2.5-flash-nothinking |
| - Qwen3-235b |
| |
| ## Requirements |
| |
| - Python 3.7+ |
| - pandas |
| - PyYAML |
| |
| ## Notes |
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| - All scripts automatically process test results from the configured base directory |
| - Results are saved in the same directory as the scripts |
| - Execution paths are parsed from `execution_path.md` files in test session directories |
| |
