openai

Official command-line client for the OpenAI API, with documented installation, environment variables, resource-based commands, file passing, and admin API support.

OpenAI’s SDK docs for programmatically controlling local Codex agents, with coverage of setup, core concepts, tools, orchestration, evaluation, and deployment paths.

An open-source CLI for testing LLM prompts across consistency, latency, cost, and behavior, with HTML reports and support for OpenAI and Anthropic.

Python package for recording real LLM API responses and replaying them in tests so LLM-driven code can run deterministically without live API calls.

A macOS companion overlay for Claude Code that shows an animated pet/sprite based on Claude Code activity. It includes a CLI, hook integration, a daemon, and a web-based atlas validator/renderer for Codex-pet-compatible pets.

TypeScript middleware that trims or compresses LLM chat history to fit a token budget, with support for OpenAI, Anthropic, and AI SDK integrations.

Self-hosted AI observability for tracking LLM requests, costs, latency, prompt traces, reasoning tokens, and PII masking across many model providers.

A tutorial and live demo showing how to build an AI SQL analyst agent that inspects schema, writes queries, runs them, and explains results using Node.js, OpenAI, Vercel AI SDK, and SQLite.

A GitHub research project that measures how gpt-4.1 responds when asked to pick a random number between 1 and 100, using 10,000 API calls and comparing the results to a uniform baseline.