openai-agents-sdk

You build AI agents in Python by installing the openai-agents package and using its components to define agent behaviors, integrate tools, and orchestrate workflows. This provides practical patterns and references to scaffold production-grade agent interactions.

Multi-agent orchestration coordinates multiple AI agents within a single workflow. Using the openai-agents package, you can define specialized agents and route tasks between them to handle complex, multi-step interactions in your Python projects.

Yes, you can stream real-time tool calls and interactions. The SDK supports streaming interactions within Python projects, allowing your AI agents to process and output information dynamically during user or system exchanges.

Yes, standard Python tooling and the openai-agents package are required. You use standard tooling for agent development alongside the SDK to integrate custom tools and manage real-time tool calls effectively.

The best way to coordinate multi-agent workflows is using the SDK's orchestration features to manage agent interactions and tool integrations. This approach provides practical patterns to accelerate production-grade AI agent workflows in Python.