The **[OpenAI provider](https:... completion APIs and embedding model support for the OpenAI embeddings API.. Latest version: 3.0.1, last published: 2 days ago....

The OpenAI provider is available in the @ai-sdk/openai module.

This page covers setting up your local development environment to use the OpenAI API. You can use one of our officially supported SDKs, a community library, or your own preferred HTTP client.

The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm.

Latest version: 1.0.29, last published: 11 days ago. Start using @ai-sdk/openai-compatible in your project by running `npm i @ai-sdk/openai-compatible`. There are 135 other projects in the npm registry using @ai-sdk/openai-compatible.

AI SDK 6 is now available. ... You can use the OpenAI Compatible Provider package to use language model providers that implement the OpenAI API.

Welcome to the OpenAI Agents SDK. This library makes it straightforward to build agentic applications—where a model can use additional context and tools, hand off to other specialized agents, stream partial results, and keep a full trace of what happened. Access the latest version in the following GitHub repositories:

We currently support ai-sdk’s model provider v2 modules, which are compatible with Vercel AI SDK v5. If you have a specific reason to continue using the v1 model providers, you can copy the module from examples/ai-sdk-v1 and include it in your project.

Explore the examples directory to see the SDK in action, and read our documentation for more details. To get started, set up your Python environment (Python 3.9 or newer required), and then install OpenAI Agents SDK package.

Released o1-pro, a version of the o1 reasoning model that uses more compute to answer hard problems with better reasoning and consistency. ... Released the Responses API, a new API for creating and using agents and tools. Released a set of built-in tools for the Responses API: web search, file search, and computer use. Released the Agents SDK, an orchestration framework for designing, building, and deploying agents.

Learn how to use Apps SDK by OpenAI. Our framework to build apps for ChatGPT.

The Apps SDK builds on the Model Context Protocol (MCP), the open standard that lets ChatGPT connect to external tools and data. It extends MCP so developers can design both the logic and interface of their apps. We’ve made the Apps SDK open source so that apps built with it can run anywhere that adopts this standard.

The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents - GitHub - vercel/ai: The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents

Model outputs are by their nature variable, so expect changes in prompting and model behavior between snapshots. For example, if you moved from gpt-4o-2024-05-13 to gpt-4o-2024-08-06, the same system or user messages could function differently ...

The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.9+ application.

When creating your Azure OpenAI deployment, make sure to set the DALL-E model version you want to use.

... Additional TTS response_formats: wav & pcm. The 2025-04-01-preview Azure OpenAI spec uses OpenAPI 3.1, is a known issue that this is currently not fully supported by Azure API Management

The official TypeScript library for the OpenAI API. Latest version: 6.15.0, last published: 8 days ago. Start using openai in your project by running `npm i openai`. There are 7668 other projects in the npm registry using openai.

AI SDK 6 is a major version due to the introduction of the v3 Language Model Specification that powers new capabilities like agents and tool approval.

# Install or upgrade to latest version pip install --upgrade 'openai>=1.0' # Verify installation python -c "import openai; print(openai.__version__)" ... Access Z.AI Open Platform, Register or Login. Create an API Key in the API Keys management page. Copy your API Key for use. It is recommended to set the API Key as an environment variable: export ZAI_API_KEY=your-api-key ... from openai import OpenAI # Create Z.AI client client = OpenAI( api_key="your-Z.AI-api-key", base_url="https://api.z.ai/api/paas/v4/" )