Customize workflows for tool integration
The OpenAI Agents SDK enables developers to seamlessly integrate any third-party service or business logic through a feature extension mechanism implemented by the @function_tool decorator. This feature radically extends the boundaries of the capabilities of intelligences so that they are no longer limited to the inherent capabilities of the language model.
Typical examples of tool integrations include interfacing with weather query APIs, calling internal corporate databases, performing domain-specific calculations, and more. The integration process is extremely simple - just mark the Python function as function_tool and add it to the Agent's list of tools. The system automatically handles the complex process of tool selection calling, parameter parsing and result integration.
Empirical tests show that the reasonable use of customization tools can increase the task completion rate of intelligent bodies by more than 35%. This open architecture design not only maintains the simplicity of the core framework, but also meets the needs of various professional scenarios through ecological expansion, which is the key design element that enables the SDK to adapt to diverse business scenarios.
This answer comes from the articleOpenAI Agents SDK: A Python Framework for Building Multi-Intelligence Collaborative WorkflowsThe
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