# LLM Configuration for The Island Backend
# Copy this file to .env and fill in your values

# =============================================================================
# Option 1: OpenAI (default)
# =============================================================================
# OPENAI_API_KEY=sk-xxx
# LLM_MODEL=gpt-3.5-turbo

# =============================================================================
# Option 2: Anthropic Claude
# =============================================================================
# ANTHROPIC_API_KEY=sk-ant-xxx
# LLM_MODEL=claude-3-haiku-20240307

# =============================================================================
# Option 3: Google Gemini
# =============================================================================
# GEMINI_API_KEY=xxx
# LLM_MODEL=gemini/gemini-pro

# =============================================================================
# Option 4: Azure OpenAI
# =============================================================================
# AZURE_API_KEY=xxx
# AZURE_API_BASE=https://your-resource.openai.azure.com
# LLM_MODEL=azure/your-deployment-name

# =============================================================================
# Option 5: OpenRouter (access multiple models)
# =============================================================================
# OPENROUTER_API_KEY=sk-or-xxx
# LLM_MODEL=openrouter/anthropic/claude-3-haiku

# =============================================================================
# Option 6: Local Ollama
# =============================================================================
# OLLAMA_API_BASE=http://localhost:11434
# LLM_MODEL=ollama/llama2

# =============================================================================
# Option 7: Custom/Self-hosted (OpenAI-compatible endpoint)
# =============================================================================
# LLM_API_BASE=http://localhost:8000/v1
# LLM_API_KEY=your-key
# LLM_MODEL=qwen2.5
# Note: When LLM_API_BASE is set, model is auto-prefixed as "openai/qwen2.5"

# =============================================================================
# Model naming convention (LiteLLM requires provider prefix)
# See: https://docs.litellm.ai/docs/providers
# =============================================================================
# Format: provider/model-name
# Examples:
#   openai/gpt-4
#   anthropic/claude-3-haiku-20240307
#   gemini/gemini-pro
#   ollama/llama2
#   huggingface/starcoder
#   azure/your-deployment-name

# =============================================================================
# Force mock mode (no API calls, uses predefined responses)
# =============================================================================
# LLM_MOCK_MODE=true