# GAIA Experience Learning System Environment Configuration
# Copy this file to .env and fill in your actual values

# ========================================
# LLM Configuration
# ========================================

# Provider: openai, anthropic, or custom
LLM_PROVIDER=openai

# Model name
LLM_MODEL_NAME=gpt-5.6

# API Key (required)
LLM_API_KEY=your_api_key_here
OPENAI_API_KEY=your_api_key_here

# Base URL (optional, for custom endpoints)
# LLM_BASE_URL=https://api.openai.com/v1

# 统一兜底：若上面 LLM_API_KEY / OPENAI_API_KEY 都缺失，但设置了 OPENROUTER_API_KEY，
# 则自动改走 OpenRouter，并把模型名映射到 openai/gpt-5.6-luna 等（见 llm_env.resolve_llm）。
# OPENROUTER_API_KEY=your-openrouter-api-key

# Temperature for generation (0.0 - 1.0)
LLM_TEMPERATURE=0.0

# ========================================
# Dataset Configuration
# ========================================

# Path to GAIA dataset
GAIA_DATASET_PATH=./AWorld/examples/gaia/GAIA

# Workspace directory for logs and outputs
AWORLD_WORKSPACE=./workspace

# ========================================
# Experience Learning Configuration
# ========================================

# Path to store learned experiences
EXPERIENCE_DB_PATH=./experiences/learned_experiences.json

# Path to knowledge base index
KB_INDEX_PATH=./kb_index

# ========================================
# Optional: Alternative Model Providers
# ========================================

# For trajectory summarization (optional)
# SUMMARY_LLM_PROVIDER=openai
# SUMMARY_LLM_MODEL=gpt-4o-mini
# SUMMARY_LLM_API_KEY=your_api_key_here

# ========================================
# MCP Server Configuration (if using)
# ========================================

# MCP_SERVER_URL=http://localhost:4242
# MCP_SERVER_TOKEN=your_token_here