Azure AI Foundry

Documentation Index

Fetch the complete documentation index at: https://braintrust.dev/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Deploy the model

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Configure the integration

1. In your Braintrust project, go to Settings.
2. Under Project, select Project AI providers.
3. Under Cloud providers, click Azure.
4. Choose your authentication method:
   • API Key: Paste your Azure API key.
   • Entra API (Azure AD): Provide your Entra ID credentials to authenticate via Azure Active Directory
   API keys are stored as one-way cryptographic hashes, never in plaintext.
5. Set API base URL to the base URL of your project endpoint in Azure. For example, for the project endpoiont https://john-3396-resource.services.ai.azure.com/api/projects/john-3396, you’d use https://john-3396-resource.services.ai.azure.com.
6. Depending on the model you deployed, configure model details:
   • OpenAI models: Braintrust’s built-in Azure registry includes OpenAI models (such as the GPT series). To access these models through Braintrust, enable Include the default registry of Azure models.
   • Other models: If you deployed any non-OpenAI model from the Azure model catalog, such as Grok, Claude, or DeepSeek, configure the model details:
     • Set Models to the exact deployment name in Azure.
     • Click and select the Format based on the API the model supports:

       API type	Braintrust format
       Chat completion	OpenAI
       Responses	OpenAI
       Messages	Anthropic

     For full configuration options, see Custom providers.
     Non-OpenAI models appear in the Braintrust model selector but cannot be used directly from the UI. Use them via the Braintrust API or SDK instead.
7. Click Save.

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Additional resources

• Azure AI Foundry
• Azure model catalog
• Deploy models in Azure AI Foundry
• Azure OpenAI vs. Microsoft Foundry models