Agentic tool use in the gpt-oss models includes employing various tools to enhance their capabilities. Specifically, the models are trained to use a browsing tool, which allows them to call search functions and interact with the web to fetch information beyond their knowledge cutoff. Additionally, the models can utilize a Python tool, enabling them to execute code in a stateful Jupyter notebook environment. They can also work with arbitrary developer functions, which are specified within the harmony chat format used during training[1].
These capabilities allow the models to interleave tool calls with reasoning processes, improving their performance on tasks that require complex problem-solving. The training emphasizes how to effectively incorporate these tools while managing user interactions[1].
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