abhiai-git/agent_trajectory_evaluation

agent_trajectory_evaluation is a Python package designed to evaluate the reasoning trajectories of tool-enabled LLM agents, Traditional evaluation methods often focus solely on final-answer accuracy, overlooking how an agent arrives at its conclusions. trajectory-eval addresses this by analyzing the entire reasoning process — step-by-step

15
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

Forks

Language

Python

License

MIT

Last pushed

Oct 25, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/abhiai-git/agent_trajectory_evaluation"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.