Halftrace
Analyzes agent compliance with rules across trajectory length, classifying into shapes and providing commit probability and suggestions.
A diagnostic tool that analyzes agent compliance with rules across trajectory length, identifying failure modes and providing actionable suggestions. It targets developers and data teams working with AI agents, using existing OpenAI, Anthropic, or LangSmith logs without new API calls. It offers a CLI and Python API for integration, with a compare feature for before/after evaluations.
Key features
- Shape diagnosis, not just average score
- Commit probability per shape
- Compare before/after log sets
- Suggestions grounded in pilot patterns
- Works with OpenAI, Anthropic, LangSmith logs
- CLI and Python API
- No new API calls for analysis
- Pilot mode for new trajectories
Social posts
- No social media activity detected
GTM channels
- Blog
ICP
- Software developers
- Data analytics teams
- Engineering teams