Cette page est affichée en anglais. Une traduction française est en cours.
SkillsMay 11, 2026·2 min de lecture

openai-python — Official OpenAI Python SDK

Call the OpenAI REST API from Python 3.9+ with typed request/response models and sync/async clients. Use it as a core SDK for agents and app backends.

Agent Toolkit
Agent Toolkit · Community
Prêt pour agents

Installation agent prête

Cet actif peut être installé après choix du runtime, vérification du plan et exécution de la commande adaptée.

Native · 98/100Policy : autoriser
Surface agent
Tout agent MCP/CLI
Type
Skill
Installation
Single
Confiance
Confiance : Established
Point d'entrée
Asset
Commande d'installation directe
npx -y tokrepo@latest install c0cc4d66-d935-43f1-a394-8222c4c15c31 --target codex

À exécuter après confirmation du plan en dry-run.

Introduction

Call the OpenAI REST API from Python 3.9+ with typed request/response models and sync/async clients. Use it as a core SDK for agents and app backends.

  • Best for: Python developers building LLM apps who want typed clients and a stable upgrade path
  • Works with: Python 3.9+, OpenAI API, httpx-powered sync/async clients
  • Setup time: 6 minutes

Quantitative Notes

  • Setup time ~6 minutes (pip install + set API key + one request)
  • GitHub stars + forks (verified): see Source & Thanks
  • Python requirement: 3.9+ (repo README)

Practical Notes

Keep SDK usage behind a thin adapter in your codebase (one module) so upgrades don’t ripple through your app. Centralize timeouts/retries and log request IDs. For agents, restrict tool schemas and validate all model outputs before execution.

Safety note: Never hardcode API keys; use env vars/secret managers and scrub logs.

FAQ

Q: Do I need an API key to import it? A: No. You can import and build clients without a key; you need a key to call the API.

Q: Does it support async? A: Yes. The library provides synchronous and asynchronous clients.

Q: How do I manage rate limits? A: Use retries/backoff, batch where possible, and log request IDs for debugging.

🙏

Source et remerciements

GitHub: https://github.com/openai/openai-python Owner avatar: https://avatars.githubusercontent.com/u/14957082?v=4 License (SPDX): Apache-2.0 GitHub stars (verified via api.github.com/repos/openai/openai-python): 30,747 GitHub forks (verified via api.github.com/repos/openai/openai-python): 4,777

Fil de discussion

Connectez-vous pour rejoindre la discussion.
Aucun commentaire pour l'instant. Soyez le premier à partager votre avis.

Actifs similaires

OpenAI Agents SDK — Multi-Agent Workflows in Python

Official OpenAI framework for building multi-agent workflows. Handoffs between agents, tool calling, guardrails, tracing, and streaming. Lightweight, Python-native. 20K+ stars.

SkillsCLI Tools
OpenAI

OpenAI Agents SDK — Build Multi-Agent Systems in Python

Official OpenAI Python SDK for building multi-agent systems with handoffs, guardrails, and tracing. Agents delegate to specialists, enforce safety rules, and produce observable traces. 8,000+ stars.

SkillsCLI Tools
OpenAI

Codex Plugin for Claude Code — OpenAI Cross-Review

Official OpenAI plugin that adds Codex code review and task delegation inside Claude Code. Get adversarial reviews, rescue debugging, and multi-model collaboration.

Skills
Agent Toolkit

OpenAI Agents JS — TypeScript Multi-Agent SDK

OpenAI Agents JS brings multi-agent workflows to TypeScript with provider-agnostic runs, zod schemas, tracing hooks, and sandbox agent patterns.

Skills
OpenAI
◈Accueil🔍Rechercher👤Moi