.env.example

# Skill Seekers Docker Environment Configuration
# Copy this file to .env and fill in your API keys

# Claude AI / Anthropic API
# Required for AI enhancement features
# Get your key from: https://console.anthropic.com/
ANTHROPIC_API_KEY=sk-ant-your-key-here

# Google Gemini API (Optional)
# Required for Gemini platform support
# Get your key from: https://makersuite.google.com/app/apikey
GOOGLE_API_KEY=

# OpenAI API (Optional)
# Required for OpenAI/ChatGPT platform support
# Get your key from: https://platform.openai.com/api-keys
OPENAI_API_KEY=

# GitHub Token (Optional, but recommended)
# Increases rate limits from 60/hour to 5000/hour
# Create token at: https://github.com/settings/tokens
# Required scopes: public_repo (for public repos)
GITHUB_TOKEN=

# MCP Server Configuration
MCP_TRANSPORT=http
MCP_PORT=8765

# Docker Resource Limits (Optional)
# Uncomment to set custom limits
# DOCKER_CPU_LIMIT=2.0
# DOCKER_MEMORY_LIMIT=4g

# Vector Database Ports (Optional - change if needed)
# WEAVIATE_PORT=8080
# QDRANT_PORT=6333
# CHROMA_PORT=8000

# Logging (Optional)
# SKILL_SEEKERS_LOG_LEVEL=INFO
# SKILL_SEEKERS_LOG_FILE=/data/logs/skill-seekers.log