llm-goose is an open-source testing framework for validating the behavior and tool usage of LLM-based agents. It integrates with existing frameworks and automates the testing process for AI developers and QA engineers.
llm-goose sits in PulseGate's Agent evaluation & testing category. It helps developers validate and test the behavior and tool usage of LLM-based agents. It is built as an open-source project for AI developers and QA engineers. The project is open source (MIT). llm-goose is available on the command line.
Behind llm-goose is Raff-dev, and it first shipped in 2025. Development happens publicly on GitHub with 15 stars and 54 commits in the last 90 days. Among its 5 catalogued features are LLM agent testing, tool usage validation, and framework integration.
Summary written by a language model from the project’s public pages.
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