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Meta Model API documentation
Guides, API reference, and examples for building with Meta models. Site navigation links open website pages; documentation links in the remaining sections open Markdown.
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- llms.txt
- https://dev.meta.ai/llms.txt
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- 2017-12-16
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# Meta Model API documentation
> Guides, API reference, and examples for building with Meta models. Site navigation links open website pages; documentation links in the remaining sections open Markdown.
## Site navigation
- [Meta Model API](https://dev.meta.ai/): Access Meta models and the developer portal.
- [Documentation](https://dev.meta.ai/docs): Guides for building with Meta models.
- [API reference](https://dev.meta.ai/docs/api-reference): Endpoints, parameters, and request and response schemas.
- [Cookbook](https://dev.meta.ai/docs/cookbook): Runnable examples and recipes for building with Meta Model API.
- [Research](https://research.meta.ai/): AI research and publications from Meta.
- [Help Center](https://dev.meta.ai/help): Help with accounts, API keys, billing, and rate limits.
## Guides
- [Agent frameworks](https://dev.meta.ai/docs/agent-frameworks.md): Run your own agent loop on Muse Wonder or Muse Spark with the Claude Agent SDK or the OpenAI Codex app-server.
- [Authentication](https://dev.meta.ai/docs/authentication.md): Create and manage API keys for authenticating requests to Meta Model API.
- [Use Model API with coding agents](https://dev.meta.ai/docs/coding-agents.md): Connect coding agents like OpenCode, Codex, and Claude Code to Model API and drive Muse Wonder and Muse Spark for agentic coding workflows.
- [Build a computer-use agent](https://dev.meta.ai/docs/computer-use.md): Drive Muse Wonder as a computer-use agent with the native computer tool, turning screenshots into structured mouse and keyboard actions that your own driver executes.
- [Error handling](https://dev.meta.ai/docs/error-handling.md): Handle API errors, troubleshoot common issues, and build resilient Meta Model API integrations with proper retry logic.
- [File handling](https://dev.meta.ai/docs/file-handling.md): Send files to the model inline in a Responses or chat completion request, or upload them once with the Files API and reference them by ID.
- [Image generation with Muse Image](https://dev.meta.ai/docs/image-generation.md): Generate and edit images with Muse Image through a conversation: interleave text and reference images and refine across turns on the Responses API, or make one-off calls with the OpenAI-compatible images endpoints.
- [Image understanding](https://dev.meta.ai/docs/image-understanding.md): Analyze images with text prompts using URLs, base64 encoding, or uploaded files.
- [Media segmentation](https://dev.meta.ai/docs/media-segmentation.md): Detect, segment, and follow objects in images and video from a short text prompt, or from boxes and points, with Segment Anything Model (SAM).
- [Models](https://dev.meta.ai/docs/models.md): Meta's model lines, including Muse Wonder, Muse Spark, Muse Image, Muse Voice Transcribe, Segment Anything Model, and the open-weight Muse Spark Open and Muse Glimmer, with where each one is available on Model API and Muse Code and how to choose.
- [Muse Spark Open](https://dev.meta.ai/docs/muse-spark-
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