openai-agent-tools

You can build AI agents that call functions and orchestrate tools using the OpenAI Agents SDK. Decorate Python functions with @function_tool to expose actions, enabling task automation and context-aware tool usage in conversational AI scenarios.

Function tool integration in multi-agent orchestration uses the @function_tool decorator to expose Python functions as callable actions for agents. This enables context-aware tool routing and automated task execution within conversational AI workflows.

Yes, the OpenAI Agents SDK supports structured outputs for AI agents by leveraging Pydantic models. This provides typed return data, ensuring predictable and validated responses when agents execute function-powered tools.

Yes, you can create a task-management assistant that updates a database and fetches weather. By defining these actions as function tools, the AI agent can orchestrate calls to create tasks, fetch data, and update DB records.

The best way to expose Python functions as actions for AI agents is using the @function_tool decorator. This integrates your Python tooling directly into the agent orchestration, enabling context-aware natural language task automation.

You need Pydantic models to achieve structured outputs when orchestrating tools with the OpenAI Agents SDK. While agents can operate without them, Pydantic ensures typed return data for reliable, pattern-based workflow automation.