The GPT-OSS family of models integrates powerful tool invocation functions, including a variety of utilities such as web search, Python code execution and file manipulation. These tools greatly extend the utility value of the models, enabling them to perform more complex tasks such as real-time information query, data analysis and automated processing. The model uses a specialized Harmony response format to ensure that the output is structured and standardized, providing developers with a clear presentation of the analysis process and the final answer.
The Harmony format divides the output into analysis (reasoning process) and final (final answer) channels, which not only facilitates debugging and optimization, but also enhances the credibility and transparency of the model output. This structured output is particularly suitable for building intelligent body workflows and developing complex AI applications, and developers can build reliable production-grade systems based on these standard output formats.
This answer comes from the articleGPT-OSS: OpenAI's Open Source Big Model for Efficient ReasoningThe
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