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Agent_With_Anthropic.csproj
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README.md

Creating an AIAgent with Anthropic

This sample demonstrates how to create an AIAgent using Anthropic Claude models as the underlying inference service.

The sample supports three deployment scenarios:

  1. Anthropic Public API - Direct connection to Anthropic's public API
  2. Microsoft Foundry with API Key - Anthropic models deployed through Microsoft Foundry using API key authentication
  3. Microsoft Foundry with Azure CLI - Anthropic models deployed through Microsoft Foundry using Azure CLI credentials

Prerequisites

Before you begin, ensure you have the following prerequisites:

  • .NET 8.0 SDK or later

For Anthropic Public API

  • Anthropic API key

Set the following environment variables:

$env:ANTHROPIC_API_KEY="your-anthropic-api-key"  # Replace with your Anthropic API key
$env:ANTHROPIC_CHAT_MODEL_NAME="claude-haiku-4-5"  # Optional, defaults to claude-haiku-4-5

For Microsoft Foundry with API Key

  • Microsoft Foundry service endpoint and deployment configured
  • Anthropic API key

Set the following environment variables:

$env:ANTHROPIC_RESOURCE="your-foundry-resource-name"  # Replace with your Microsoft Foundry resource name (subdomain before .services.ai.azure.com)
$env:ANTHROPIC_API_KEY="your-anthropic-api-key"  # Replace with your Anthropic API key
$env:ANTHROPIC_CHAT_MODEL_NAME="claude-haiku-4-5"  # Optional, defaults to claude-haiku-4-5

For Microsoft Foundry with Azure CLI

  • Microsoft Foundry service endpoint and deployment configured
  • Azure CLI installed and authenticated (for Azure credential authentication)

Set the following environment variables:

$env:ANTHROPIC_RESOURCE="your-foundry-resource-name"  # Replace with your Microsoft Foundry resource name (subdomain before .services.ai.azure.com)
$env:ANTHROPIC_CHAT_MODEL_NAME="claude-haiku-4-5"  # Optional, defaults to claude-haiku-4-5

Note: When using Microsoft Foundry with Azure CLI, make sure you're logged in with az login and have access to the Microsoft Foundry resource. For more information, see the Azure CLI documentation.