gaitcheck is an open-source framework for evaluating AI agents, focusing on trajectory checks, tool-call accuracy, and end-state assertions. It enables researchers and developers to assess agent reliability and performance using advanced metrics and LLM-based evaluation. Ideal for those building or analyzing autonomous agents.
gaitcheck is a LLM eval & observability product. It focuses on evaluating and validating the behavior and reliability of AI agents beyond just final outcomes. It is built as an open-source project for AI researchers and developers. gaitcheck is open source under the MIT license. It runs on the command line.
Ekta Shah builds and maintains gaitcheck, and the product first shipped in 2026. Development happens publicly on GitHub with 5 commits in the last 90 days. Key capabilities include trajectory checks, tool-call accuracy, and end-state assertions.
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