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Add Azure AI Foundry SDK sample
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examples/azureaifoundry_sdk/azurefoundryagent/.env.template

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# Required: Azure AI Foundry Project Endpoint
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# Example: https://your-project.cognitiveservices.azure.com/
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AZURE_AI_FOUNDRY_PROJECT_ENDPOINT=https://ai-kinfey-agent-resource.services.ai.azure.com/api/projects/ai-kinfey-agent
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AZURE_AI_FOUNDRY_PROJECT_ENDPOINT=Your Azure AI Foundry Project Endpoint
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# Required: Azure AI Agent Model Deployment Name
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# Example: gpt-4o, gpt-35-turbo, etc.
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AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME=gpt-4.1-nano
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AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME=Your Azure AI Foundry Agent Model Deployment Name
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# Optional: Azure credentials (if not using DefaultAzureCredential)
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# AZURE_CLIENT_ID=
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# AZURE_CLIENT_SECRET=
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# AZURE_TENANT_ID=
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# A2A Server Configuration
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A2A_HOST=localhost

examples/azureaifoundry_sdk/azurefoundryagent/README.md

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```
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├── foundry_agent.py # AI Foundry calendar agent implementation
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├── foundry_agent_executor.py # A2A framework executor
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├── demo.ipynb # Interactive demonstration notebook
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├── __main__.py # Main application
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├── aifoundry_agent.py # Base AI Foundry agent
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├── pyproject.toml # Project dependencies configuration
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Set the following required environment variables in the `.env` file:
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```env
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AZURE_AI_FOUNDRY_PROJECT_ENDPOINT=https://your-project.cognitiveservices.azure.com/
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AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME=gpt-4o
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AZURE_AI_FOUNDRY_PROJECT_ENDPOINT=Your Azure AI Foundry Project Endpoint
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AZURE_AI_AGENT_MODEL_DEPLOYMENT_NAME=Your Azure AI Foundry Deployment Model Name
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```
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### 4. Run the Demo

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