.env.example

# Kotori Bot Environment Configuration
# Copy this file to .env and update the values

# ==============================================
# Azure OpenAI Configuration (Required)
# ==============================================
AZURE_OPENAI_API_KEY=your_azure_openai_api_key_here
AZURE_OPENAI_ENDPOINT=https://your-resource-name.openai.azure.com/
AZURE_OPENAI_DEPLOYMENT_NAME=your_deployment_name
AZURE_OPENAI_API_VERSION=2024-02-01
AZURE_MODEL_NAME=o4-mini

# ==============================================
# Application Insights (Optional)
# ==============================================
APPLICATIONINSIGHTS_CONNECTION_STRING=your_application_insights_connection_string

# ==============================================
# Backend Configuration
# ==============================================
BACKEND_HOST=0.0.0.0
BACKEND_PORT=8000
DEBUG_MODE=true

# ==============================================
# Frontend Configuration
# ==============================================
FRONTEND_URL=http://localhost:3000
REACT_APP_API_URL=http://localhost:8000/api

# ==============================================
# Development Settings
# ==============================================
# Set to true for development, false for production
DEV_MODE=true

# WebSocket configuration
WEBSOCKET_PATH=/ws

# ==============================================
# INSTRUCTIONS
# ==============================================
# 1. Copy this file to .env in the root directory
# 2. Update all the values with your actual credentials
# 3. Never commit the .env file to version control
# 4. Restart the backend after making changes

# Azure OpenAI Setup:
# 1. Go to https://portal.azure.com
# 2. Create an Azure OpenAI resource
# 3. Deploy a GPT-4 model
# 4. Get the endpoint, API key, and deployment name
# 5. Update the values above

# For Application Insights (optional):
# 1. See https://learn.microsoft.com/en-us/azure/ai-foundry/agents/concepts/tracing