openai-llms

name	openai-llms
description	Reference and APIs for retrieving OpenAI documentation programmatically for LLMs. USE FOR: OpenAI documentation and API. DO NOT USE FOR: OpenAI API Operations.
license	MIT

openai-llms

WHEN TO USE

• Documentation Search: Locating specific OpenAI API, guides, concepts, or reference documentation articles.
• Article Retrieval: Fetching the full rendered markdown of a specific OpenAI docs page via its llms.txt or related context.

WHEN NOT TO USE

• OpenAI API Operations: Interacting with live OpenAI APIs to generate text, images, or audio. Use appropriate API endpoints or SDKs for that.

Core Process

1. Identify the Need: Determine whether you need to search for a topic or fetch a specific known documentation path.
2. Execute the Query: Use webfetch to fetch the data from the llms.txt reference or relevant URLs.
3. Process Content: Extract the relevant information to answer the user's query or inform the ongoing task. For full docs (llms-full.txt), use filtering or grep techniques as they are very large.

Common Pitfalls

• Fetching llms-full.txt without narrowing the scope. Prefer the index or a targeted document when possible, and filter aggressively if you must use the full file.

References

To fully utilize this skill, you MUST read at least one of the links relevant to the current context:

• OpenAI Developers USE FOR: High-level platform overview, getting started guidance, and the main documentation index.
• OpenAI Developers Full Docs USE FOR: Full single-file Markdown export of all developers docs (large, so needs to be filtered).
• OpenAI API Docs USE FOR: Actions, Assistants, Bots, Concepts, Deprecations, GPTs, Guides, Libraries, MCP, Pricing, Quickstart, Supported Countries, Tutorials, UI Kit Demo.
• OpenAI API Docs Full USE FOR: Full single-file export of API guides and conceptual docs (large, so needs to be filtered).