Openai Documentation Api. Example code and guides for accomplishing common tasks with the

Example code and guides for accomplishing common tasks with the OpenAI API. Both Structured Outputs and JSON mode are supported in the Responses API, Chat For API designers and writers wishing formalize their API in an OpenAPI Description document. The Web search allows models to access up-to-date information from the internet and provide answers with sourced citations. In this article, you learn about authorization options, how to structure a request and receive a response. js. Complete reference documentation for the OpenAI API, including examples and code snippets for our endpoints in Python, cURL, and Node. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Learn more on Open-source examples and guides for building with the OpenAI API. Browse a collection of snippets, advanced techniques and Complete reference documentation for the OpenAI API, including examples and code snippets for our endpoints in Python, cURL, and Node. Refer to the model guide to browse and The Responses API is a new stateful API from Azure OpenAI. Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. Refer to the model guide to browse and While both ensure valid JSON is produced, only Structured Outputs ensure schema adherence. Learn how to use Azure OpenAI's REST API. To enable this, use the web At OpenAI, protecting user data is fundamental to our mission. As a developer, you can configure this processing With the OpenAI API, you can use a large language model to generate text from a prompt, as you might using ChatGPT. It brings together the best capabilities from the chat completions and assistants API in one unified experience. To run these Most code examples are written in Python, though the concepts can be applied in any language. Models can generate almost any kind of text response—like code, . Learn how to use the OpenAI API to generate human-like responses to natural language prompts, analyze images with computer vision, use The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3. 9+ application. How do I use stop sequences in the OpenAI API? Here is what you need to know about the stop sequence parameter in the OpenAI Chat Completions API How does the launch of Assistants Deep research via the Responses API does not include a clarification or prompt rewriting step. Use powerful tools like remote MCP servers, or built-in tools like web search and file search to extend the model's capabilities. Explore all available models on the OpenAI Platform. We do not train our models on inputs and outputs through our API. The library includes Our API platform offers our latest models and guides for safety best practices.

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