ai-learning-series/.env.example at main · Women-Coding-Community/ai-learning-series · GitHub

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# ============================================================================
# WCC AI Learning Series - Environment Variables
# ============================================================================
#
# SETUP INSTRUCTIONS:
# 1. Copy this file: cp .env.example .env (or copy .env.example .env on Windows)
# 2. Fill in your API keys below
# 3. Never commit .env to version control
#
# ============================================================================
# Session 1: Gemini API (REQUIRED)
# ============================================================================

GEMINI_API_KEY=your_gemini_api_key_here

# ============================================================================
# Optional: Alternative Platforms (Uncomment to use)
# ============================================================================

# OpenAI
# OPENAI_API_KEY=your_openai_api_key_here

# AWS (used by boto3)
# AWS_ACCESS_KEY_ID=your_aws_access_key_id
# AWS_SECRET_ACCESS_KEY=your_aws_secret_access_key
# AWS_REGION=us-east-1

# Anthropic Claude
# ANTHROPIC_API_KEY=your_anthropic_api_key_here

# Cohere
# COHERE_API_KEY=your_cohere_api_key_here

# ============================================================================
# Optional: Advanced Features (Uncomment to use)
# ============================================================================

# Google Cloud (for Vertex AI or DLP)
# GCP_PROJECT_ID=your-project-id
# GCP_LOCATION=us-central1
# GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json

# ===============================================
# MCP Session5
# ================================================
GITHUB_TOKEN=XXXXXXXXXXXXXX
PROJECT_ID=your-project-id
REGION=us-central1
# GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json