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feat: Conversation History Export Tool #1997

@alperents11

Description

@alperents11

Problem

Currently, there's no way to export agent conversations for:

  • Debugging and analysis
  • Sharing results with team members
  • Creating reports or documentation
  • Archiving important interactions

Users must manually copy-paste from logs or terminal output.

Proposed Solution

Create a conversation export tool that saves agent interactions in multiple formats:

python export_conversation.py --agent spot --session 2026-01-29 --format markdown

Exported to: conversations/spot_2026-01-29.md

Supported Formats:

  • Markdown (.md) - Human-readable, easy to share
  • JSON (.json) - Machine-readable, for analysis
  • CSV (.csv) - For spreadsheet analysis
  • HTML (.html) - Pretty formatted with styling

Example Output (Markdown):

# Conversation: Spot Agent
Date: 2026-01-29
Duration: 5 minutes

## Exchange 1 (14:30:45)
**User:** Pick up the red ball
**Vision:** Detected red sphere at (0.5, 0.2)
**LLM Decision:** movement(0.5, 0, 0)
**Action:** Moving forward...

## Exchange 2 (14:30:52)
...

Benefits

  • Debugging: Review past conversations to find issues
  • Documentation: Create reports from agent interactions
  • Analysis: Export to CSV for data analysis
  • Sharing: Easy to share formatted conversations
  • Archival: Save important interactions

Implementation Plan

  1. Parse agent logs/session data
  2. Support multiple export formats
  3. Add CLI interface
  4. Optional: Add timestamp filtering, search

Would this be valuable for the project? Happy to implement it!

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