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trajectory-evaluation

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End-to-end agent evaluation — trajectory eval, tool-use correctness, cost-per-task, latency budgets, regression suites with golden trajectories, LLM-as-judge with calibration. For full agent runs, not just classifiers.

  • Updated Aug 17, 2026
  • TypeScript

Agentic AI for pharmaceutical supply operations, and the trajectory eval harness that proves it works. Measures the path not just the answer: tool precision, step efficiency, hallucinated-argument rate, unauthorized-write detection, loop/budget controls, and a CI release gate. Zero runtime deps, runs offline.

  • Updated Aug 3, 2026
  • Python

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