trajex is an open-source toolkit and format for recording, analyzing, and asserting AI agent execution traces. It enables developers and researchers to observe, test, and evaluate LLM-based agent behaviors, supporting integration with frameworks like LangChain and OpenAI.
In the LLM eval & observability space, trajex takes a focused approach. It focuses on providing a standardized way to record, analyze, and evaluate AI agent execution traces for debugging and observability. trajex is an open-source project aimed at AI developers and researchers. trajex is open source under the MIT license. trajex is available on the command line and API, and it can be self-hosted.
Behind trajex is chanikkyasaai, and it first shipped in 2026. Development happens publicly on GitHub with 7 commits in the last 90 days. Key capabilities include execution trace recording, agent observability, and LLM evaluation.
Summary written by a language model from the project’s public pages.
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