# 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.json`
    - `success_rate.csv`

- `evaluate_trajectory.py`
  - Evaluates trajectory metrics by parsing each session's `execution_path.md`.
  - Outputs:
    - `evaluation_results.csv`
  - Note: Markdown output is intentionally disabled.

- `analyze_retry_patterns.py`
  - Analyzes retry patterns from `execution_path.md` and exports JSON/CSV summaries.

- `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`