Skip to main content

​
Azure AI Configuration

Azure AI Configuration Interface The Azure AI configuration screen in PipesHub where you’ll enter your Endpoint URL, API Key, Model Name, and optional settings PipesHub allows you to integrate with Azure AI Foundry’s diverse range of language models to enable AI features in your workspace. Azure AI Foundry provides access to models from multiple providers including GPT-4o, DeepSeek R1, Cohere, Phi, Mistral, and Claude.

​
Required Fields

​
Endpoint URL *

The Endpoint URL is required to connect to your Azure AI Foundry deployment. The URL format varies depending on the model type you’re using. Endpoint formats by model type:
  • For Claude models: https://<your-resource-name>.inference.ai.azure.com/anthropic
  • For other models (OpenAI, DeepSeek, etc.): https://<your-resource-name>.cognitiveservices.azure.com/openai/v1/
How to obtain your Endpoint:
  1. Log in to the Azure Portal
  2. Navigate to your Azure AI Foundry resource (formerly Azure AI Studio)
  3. Go to the model deployments section
  4. Select your deployed model and copy the endpoint URL
Note: Ensure you use the correct endpoint format for your chosen model type.

​
API Key *

The API Key authenticates your requests to your Azure AI service. How to obtain your API Key:
  1. In the Azure Portal, navigate to your Azure AI resource
  2. Go to the “Keys and Endpoint” section in the left navigation
  3. Copy either Key 1 or Key 2 (both will work)
Security Note: Your API key should be kept secure and never shared publicly. PipesHub securely stores your API key and uses it only for authenticating requests to your Azure AI service.

​
Model Name *

The Model Name field specifies which model you want to use with PipesHub. Popular Azure AI Foundry models include:
  • gpt-5.2 - OpenAI’s latest model for complex tasks
  • claude-sonnet-4-5 - Anthropic’s Claude model for balanced performance
  • DeepSeek-V3.1 - DeepSeek’s powerful reasoning model
  • Phi-4 - Microsoft’s efficient smaller model
  • Mistral-Large - Mistral AI’s flagship model
  • Cohere-Command-R - Cohere’s enterprise model
How to find available models:
  1. Visit the Azure AI Foundry model catalog
  2. Browse available models by capability or provider
  3. Use the exact model name as shown in your deployment

​
Optional Fields

​
Context Length

Specify the maximum context length for your model (e.g., 128000 for 128K tokens). This helps PipesHub optimize how it handles large documents and conversations. Note: Different models support different context lengths. Check your model’s documentation for the maximum supported context.

​
Multimodal

Enable this option if your model supports multimodal inputs (text + image). This allows PipesHub to process both text and images when interacting with the model. Models with multimodal support include:
  • GPT-4o and variants
  • Claude models (Sonnet, Opus)

​
Reasoning

Enable this option if your model supports advanced reasoning capabilities. This is particularly useful for models designed for complex problem-solving tasks. Models with reasoning support include:
  • DeepSeek R1
  • OpenAI o1 series

​
Configuration Steps

As shown in the image above:
  1. Select “Azure AI” as your Provider Type from the dropdown
  2. Enter your Endpoint URL in the designated field (marked with *)
  3. Enter your Azure AI API Key (marked with *)
  4. Specify your Model Name (marked with *)
  5. Optionally, set the Context Length for your model
  6. Enable Multimodal if your model supports text + image inputs
  7. Enable Reasoning if your model supports advanced reasoning
  8. Click “Add Model” to complete the setup
Endpoint URL, API Key, and Model Name are required fields. You must complete these fields to proceed with the setup.

​
Usage Considerations

  • API usage will count against your Azure AI resource’s quota and billing
  • Different models have different pricing - check Azure’s pricing page for details
  • Model capabilities vary - more powerful models may provide better results but at higher cost
  • Azure AI Foundry provides access to models from multiple providers with unified billing
  • Enterprise features available include:
    • Virtual Network support
    • Role-based access control
    • Content filtering
    • Regional data residency

​
Troubleshooting

  • If you encounter authentication errors, verify your API key and endpoint URL are correct
  • Ensure you’re using the correct endpoint format for your model type (Claude vs. other models)
  • Verify your Azure subscription is active and has sufficient quota for the selected model
  • Check that the model name matches the exact name from your Azure AI deployment
  • Ensure your IP address is allowed if you’ve configured network access restrictions
  • For Claude models, verify you have access to the Anthropic models in Azure AI Foundry
For additional support, refer to the Azure AI Foundry documentation or contact PipesHub support.