A caching layer for OpenAI API calls, designed to improve performance and reduce costs.

A cache object that deletes the least-recently-used items.

A pure JavaScript BPE tokenizer with model metadata and pricing for GPT-5, GPT-4o, o-series, and other OpenAI models

The official TypeScript library for the OpenAI API

A lightweight cache for file metadata, ideal for processes that work on a specific set of files and only need to reprocess files that have changed since the last run

n8n community node for OpenAI with LiteLLM prompt caching support

Require hook for automatic V8 compile cache persistence

A simple key/value storage using files to persist the data

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.

This package provides a foundation for implementing providers that expose an OpenAI-compatible API.

LRU and FIFO caches for Client or Server

Require hook for automatic V8 compile cache persistence

Improve Pi prompt/KV cache hit rates with stable prompts, OpenAI-compatible cache keys, proxy compat warnings, and footer cache stats.

Parses Cache-Control and other headers. Helps building correct HTTP caches and proxies

Reads and caches the entire contents of a file until it is modified

TypeScript definitions for http-cache-semantics

A generational cache with strict entry-count limits and payload validation.

A TypeScript CodeAgent harness reconstructed from Arena message and tool traces.

OpenTelemetry instrumentation for the `openai` OpenAI client library

The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.