.env.example

# Azure AI Foundry Project (Required for most lessons)
# Your Azure AI Foundry project endpoint
AZURE_AI_PROJECT_ENDPOINT="https://..."

# Model deployment name in your Foundry project (e.g., gpt-4o)
AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o"

# Azure AI Search (Required for Lesson 05 - Agentic RAG)
AZURE_SEARCH_SERVICE_ENDPOINT="https://..."
AZURE_SEARCH_API_KEY="..."

# GitHub Models (Required for Lesson 06 and Lesson 08 GitHub Models workflows)
GITHUB_TOKEN="..."
GITHUB_ENDPOINT="https://models.inference.ai.azure.com"
GITHUB_MODEL_ID="gpt-4o-mini"

# Azure AI Bing Connection (Required for Lesson 08 - Bing grounding workflow)
BING_CONNECTION_ID="..."

# MiniMax (Alternative OpenAI-compatible provider)
# MiniMax offers large-context models (up to 204K tokens) via an OpenAI-compatible API.
# Get your API key from https://platform.minimaxi.com/
MINIMAX_API_KEY="..."
MINIMAX_BASE_URL="https://api.minimax.io/v1"
MINIMAX_MODEL_ID="MiniMax-M2.7"