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Guild supports Muse and Llama models from Meta. This page lists the models Guild recognizes, the inference providers that serve them, and how to call them from an agent.

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Inference providers

You can reach these models through the Meta API itself or through a third-party provider. Write the canonical model name, such as muse-spark-1.1, everywhere in Guild. Guild maps it to each provider’s own model ID.

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Models

Guild prices and recognizes these Meta model IDs. A policy or preference can also name any other model your credential can reach.

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Set up Meta

On a managed account, agents can use Meta models without a credential, as long as Guild holds a managed key for Meta. To use your own Meta account instead, add a credential. Adding your first credential switches the whole account to bring your own key (BYOK).
1

Open Models & providers

Click Access & setup in the left nav, then Models & providers. In an organization, only admins can open it.
2

Add a credential

Click Add API key and choose an inference provider from the table above.
3

Enter the provider's secret

Give the credential a Name and paste your provider’s API key. AWS Bedrock asks for an IAM role and region instead.
4

Choose Meta

Under Models, check Meta. Keep muse-spark-1.1 as its default model or enter another from the list above. Then click Add Key.
To control which workspaces and agents can use Meta models, add a model policy for the credential. For example, --models "muse-*" limits a policy to matching models:

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Use it from an agent

Agent code never names a credential. Guild resolves the call against the workspace owner’s settings. To ask for Meta explicitly, put it in llmPreferences:
The first entry asks for muse-spark-1.2. The second falls back to the default model of the matching policy. Preferences are strict: if no credential or policy allows any of them, the call fails rather than using another publisher. See LLM preferences.

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Notes

  • Guild reaches the Meta API through its unified LLM proxy. There is no raw passthrough route for Meta, unlike Anthropic and OpenAI.
  • Models & providers for credentials, model policies, and the daily token limit
  • LLMs for task.llm and the unified LLM proxy
  • Usage for spend by model