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Deploying new UI for AI messaging system
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# AI Messaging System Visualization Tool - Environment Variables
# Copy this file to .env and fill in your actual values
# ============================================================================
# Snowflake Configuration
# ============================================================================
SNOWFLAKE_USER=your_snowflake_username
SNOWFLAKE_PASSWORD=your_snowflake_password
SNOWFLAKE_ACCOUNT=your_account_identifier
SNOWFLAKE_ROLE=your_role_name
SNOWFLAKE_DATABASE=your_database_name
SNOWFLAKE_WAREHOUSE=your_warehouse_name
SNOWFLAKE_SCHEMA=your_schema_name
# ============================================================================
# AI Provider API Keys
# ============================================================================
# OpenAI API Key (for GPT models)
OPENAI_API_KEY=sk-your-openai-api-key-here
# Google AI API Key (for Gemini models)
GOOGLE_API_KEY=your-google-api-key-here
# ============================================================================
# Application Access Token
# ============================================================================
# This token is used for authentication in the web UI
# Set this to a secure random string
# Example: you can generate one using: python -c "import secrets; print(secrets.token_urlsafe(32))"
APP_TOKEN=your-secure-access-token-here
# ============================================================================
# Notes:
# ============================================================================
# 1. Never commit the actual .env file to version control
# 2. Keep your credentials secure
# 3. Use strong, unique values for APP_TOKEN
# 4. You can also use the parent directory's .env file if it contains all these variables