SocialMediaManager-A2A (RQ1)
This folder contains evaluation scripts and the reference trajectory configuration for the SocialMediaManager-A2A task.
Files
evaluate_success.py- Computes per-model success rate based on
metadata.json(status == "success"). - Outputs:
success_detailed_results.jsonsuccess_rate.csv
- Computes per-model success rate based on
evaluate_trajectory.py- Evaluates trajectory metrics by parsing each session's
execution_path.md. - Outputs:
evaluation_results.csv
- Note: Markdown output is intentionally disabled.
- Evaluates trajectory metrics by parsing each session's
analyze_retry_patterns.py- Analyzes retry patterns from
execution_path.mdand exports JSON/CSV summaries.
- Analyzes retry patterns from
reference_trajectory.yaml- Reference (ground-truth) trajectory definition and tool-permutation configuration.
Quick start
Run from this directory:
Success rate:
python3 evaluate_success.py
Trajectory evaluation:
python3 evaluate_trajectory.py --config reference_trajectory.yaml --format csv
Retry analysis:
python3 analyze_retry_patterns.py