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Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform.
Three million developers build with OpenAI. Our API platform offers our latest models and guides for safety best practices.
We’re releasing an API for accessing new AI models developed by OpenAI. Unlike most AI systems which are designed for one use-case, the API today provides a general-purpose “text in, text out” interface, allowing users to try it on virtually any English language task.
The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.7+ application. The library includes type definitions for all request params and response fields, and offers both synchronous and asynchronous clients powered by httpx.
Example code and guides for accomplishing common tasks with the OpenAI API. To run these examples, you'll need an OpenAI account and associated API key (create a free account here). Set an environment variable called OPENAI_API_KEY with your API key.
In this tutorial, we will do just that: introduce OpenAI and its API, go hands-on from creating an OpenAI account to using the API to get responses, and discuss best practices when using the API to provide a comprehensive overview of the OpenAI API.
How do I start exploring the OpenAI API? Resources to get started building with the OpenAI API.
The official prompt engineering guide by OpenAI is usually the best place to start for prompting tips. Below we present a number of prompt formats we find work well, but feel free to explore different formats, which may fit your task better.
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 guides.
The new Assistants API is a stateful evolution of our Chat Completions API meant to simplify the creation of assistant-like experiences, and enable developer access to powerful tools like Code Interpreter and Retrieval.