The official TypeScript library for the OpenAI API
Shared OpenAI SDK base adapters for TanStack AI providers using Chat Completions and Responses APIs.
An isomorphic client library for Azure OpenAI Assistants.
A companion library to openai for Azure OpenAI.
Langfuse instrumentation methods based on OpenTelemetry
Langfuse API client for universal JavaScript environments
Core functions and utilities for Langfuse packages
Langfuse OpenTelemetry export helpers
OpenAI-compatible provider base for Metorial. Provides common functionality for OpenAI-compatible API providers.
Langfuse integration for OpenAI SDK
The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.
Core LangChain.js abstractions and schemas
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
Typed client for models.dev to fetch model catalogs with friendly errors.
Turn a function into an `http.Agent` instance
This package provides a foundation for implementing providers that expose an OpenAI-compatible API.
Langfuse integration for LangChain
OpenTelemetry instrumentation for the `openai` OpenAI client library
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. This package contains the logic for building realtime voice agents on the server or in the browser.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
OpenAI embedding provider for Chroma
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
Free OpenAI API access with your ChatGPT account.
OpenAI based API client for the Perplexity AI API
Idiomatic Ruby client for Groq's OpenAI-compatible API. Covers chat completions (sync + streaming), embeddings, audio (speech, transcription, translation), models, files, and batches. Built on Net::HTTP, with parameter validation via dry-schema and internal Result-based control flow via dry-monads.
Drop-in Faraday middleware that detects and tokenizes PII (emails, SSNs, credit cards, phone numbers, custom patterns) in outgoing LLM requests, then rehydrates tokens back in responses. Works with OpenAI, Anthropic, Gemini, RubyLLM, langchainrb, and any Faraday-based HTTP client. Includes StreamRehydrator for SSE streaming use cases.
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