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21 thg 5, 2025 · Today, we’re adding new built-in tools to the Responses API—our core API primitive for building agentic applications. This includes support for all remote Model Context …
12 thg 9, 2022 · Open-source examples and guides for building with the OpenAI API. Browse a collection of snippets, advanced techniques and walkthroughs. Share your own examples and …
26 thg 5, 2025 · We recently also added new tools and features in the responses API which makes it easier to build agentic applications that connect to external services; With built-in tools in the …
17 thg 6, 2025 · In this cookbook, we provide an end-to-end modular recipe leveraging MCP for building voice-enabled agents using the OpenAI Agents SDK. In particular, we demonstrate how …
Cookbook showing how to orchestrate multiple tools with Responses API.
Guide to using OpenAI's built-in tools with the Responses API.
Examples and guides for using the OpenAI API. Contribute to openai/openai-cookbook development by creating an account on GitHub.
Core resources An Introduction to MCP: a quick, clear walkthrough of what MCP is and how it helps you tailor model behavior end‑to‑end. Using the Responses API’s MCP Tool Cookbook: …
21 thg 5, 2025 · This process introduces multiple network hops and significant latency, making it cumbersome to scale and manage. The hosted Model Context Protocol (MCP) tool in the …
11 thg 3, 2025 · The Responses API is a new way to interact with OpenAI models, designed to be simpler and more flexible than previous APIs. It makes it easy to build advanced AI applications …
Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform.
Hosted tools push the entire round‑trip into the model. Instead of your code calling an MCP server, the OpenAI Responses API invokes the remote tool endpoint and streams the result back to the …
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