OpenAI Cookbook
Most code examples are written in Python, though the concepts can be applied in any language.
课时
- Building workspace agents in ChatGPT to complete repeatable, end-to-end work
- Using PLANS.md for multi-hour problem solving
- User guide for gpt-oss-safeguard
- How to handle the raw chain of thought in gpt-oss
- How to run gpt-oss locally with LM Studio
- How to run gpt-oss locally with Ollama
- How to run gpt-oss with Hugging Face Transformers
- How to run gpt-oss with vLLM
- Verifying gpt-oss implementations
- How to work with large language models
- OpenAI harmony response format
- Build a per-run spending controller with the Responses API
- Related resources from around the web
- Techniques to improve reliability
- Text comparison examples
- What’s new with DALL·E-3?
- What makes documentation good
- Agents SDK Deployment Manager
- Migrate from the Claude Agent SDK to the OpenAI Agents SDK
- Code Interpreter Prompt (Best Practices, GPT-4.1)
- Memo Editor – Prompt
- Lead Fundamental Analyst – Prompt
- Macro Strategist – Prompt
开始学习 → Building workspace agents in ChatGPT to complete repeatable, end-to-end work