.env.azure.example

# Azure OpenAI Configuration for Jupyter AI Agents
# 
# Copy this file to .env and fill in your values:
#   cp .env.azure.example .env
#
# Then load it:
#   source .env
#
# Or use direnv:
#   direnv allow

# Azure OpenAI API Key (required)
export AZURE_OPENAI_API_KEY="your-api-key-here"

# Azure OpenAI Endpoint - Base URL only (required)
# Format: https://your-resource-name.openai.azure.com
# Do NOT include /openai/deployments/... or query parameters
export AZURE_OPENAI_ENDPOINT="https://your-resource-name.openai.azure.com"

# Azure OpenAI API Version (optional, defaults to latest)
# Use the version that matches your deployment
export AZURE_OPENAI_API_VERSION="2024-08-01-preview"

# Example deployment names you might use with --model-name:
# - gpt-4o-mini
# - gpt-4o
# - gpt-35-turbo
# - Your custom deployment names

# Test your configuration:
#   python -c "import os; print('API Key:', 'SET' if os.getenv('AZURE_OPENAI_API_KEY') else 'NOT SET'); print('Endpoint:', os.getenv('AZURE_OPENAI_ENDPOINT')); print('Version:', os.getenv('AZURE_OPENAI_API_VERSION', 'default'))"