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Updated Azure Foundry docs to include supported target UI formats #901

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Updated Azure Foundry docs to include supported target UI formats #901

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3737be8
Updated Azure Foundry docs to include suported target UI formats
May 4, 2026
e121189
Removed redundant changes
May 4, 2026
ef8ffa1
Added Project Scoped OpenAI endpoint
May 4, 2026
44db08f
Added copilot's suggestion
May 4, 2026
07db849
Removed redundant instruc
May 4, 2026
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4 changes: 4 additions & 0 deletions integrations/llms/azure-foundry.mdx
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Expand Up @@ -163,6 +163,7 @@ Required parameters:
- **Azure Managed ClientID**: Your managed client ID
- **Azure Foundry URL**: The base endpoint URL for your deployment, formatted according to your deployment type:
- For AI Services: `https://your-resource-name.services.ai.azure.com/models`
- For project-scoped OpenAI v1 deployments: `https://your-resource-name.services.ai.azure.com/api/projects/your-project-name/openai/v1`
- For Managed: `https://your-model-name.region.inference.ml.azure.com/score`
- For Serverless: `https://your-model-name.region.models.ai.azure.com`

Expand All @@ -188,6 +189,7 @@ Required parameters:
- **Azure Entra Tenant ID**: Your tenant ID
- **Azure Foundry URL**: The base endpoint URL for your deployment, formatted according to your deployment type:
- For AI Services: `https://your-resource-name.services.ai.azure.com/models`
- For project-scoped OpenAI v1 deployments: `https://your-resource-name.services.ai.azure.com/api/projects/your-project-name/openai/v1`
- For Managed: `https://your-model-name.region.inference.ml.azure.com/score`
- For Serverless: `https://your-model-name.region.models.ai.azure.com`

Expand All @@ -207,6 +209,8 @@ You can Learn more about these [Azure Entra Resources here](https://learn.micros

</Tabs>

For project-scoped OpenAI deployments, enter the full `/api/projects/<project-name>/openai/v1` URL exactly as shown in Azure AI Foundry. Portkey appends the request route, such as `/chat/completions`, when sending traffic to the deployment.
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## Adding Multiple Models to Your Azure AI Foundry Provider

You can deploy multiple models through a single Azure AI Foundry provider by using Portkey's custom models feature.
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