middleware import wrap_model_call, ModelRequest, ModelResponse basic_model = ChatOpenAI(model="gpt-4o-mini") advanced_model = ChatOpenAI(model="gpt-4o") @wrap_model_call def dynamic_model_selection(request: ModelRequest, handler) -> ModelResponse: """Choose model based on conversation Mar 11, 2025 · OpenAI is also making its web search, file search and computer use tools available directly through the responses API. Here’s a Python Agents SDK example: uv pip install openai-agents Access and fine-tune the latest AI reasoning and multimodal models, integrate AI agents, and deploy secure, enterprise-ready generative AI solutions. LLM Agent with History: Provide the LLM with access to previous steps in the conversation. The examples are organized into several categories that demonstrate different patterns and capabilities. For legacy systems without APIs, agents can rely on computer-use models to interact directly with those applications and systems through web and application Uls-just as a human would. It's a production-ready upgrade of our previous experimentation for agents, Swarm. It bundles together tools that previously were fragmented, so teams can move from prototype to production with much less friction. Orchestrating multiple agents Orchestration refers to the flow of agents in your app. OpenAI Codex describes two AI-assisted software development tools released by OpenAI. Mar 11, 2025 · The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.

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