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63 lines
1.8 KiB
Plaintext
63 lines
1.8 KiB
Plaintext
# GAIA Experience Learning System Environment Configuration
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# Copy this file to .env and fill in your actual values
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# ========================================
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# LLM Configuration
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# ========================================
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# Provider: openai, anthropic, or custom
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LLM_PROVIDER=openai
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# Model name
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LLM_MODEL_NAME=gpt-5.6
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# API Key (required)
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LLM_API_KEY=your_api_key_here
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OPENAI_API_KEY=your_api_key_here
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# Base URL (optional, for custom endpoints)
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# LLM_BASE_URL=https://api.openai.com/v1
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# 统一兜底：若上面 LLM_API_KEY / OPENAI_API_KEY 都缺失，但设置了 OPENROUTER_API_KEY，
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# 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）。
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# OPENROUTER_API_KEY=your-openrouter-api-key
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# Temperature for generation (0.0 - 1.0)
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LLM_TEMPERATURE=0.0
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# ========================================
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# Dataset Configuration
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# ========================================
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# Path to GAIA dataset
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GAIA_DATASET_PATH=./AWorld/examples/gaia/GAIA
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# Workspace directory for logs and outputs
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AWORLD_WORKSPACE=./workspace
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# ========================================
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# Experience Learning Configuration
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# ========================================
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# Path to store learned experiences
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EXPERIENCE_DB_PATH=./experiences/learned_experiences.json
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# Path to knowledge base index
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KB_INDEX_PATH=./kb_index
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# ========================================
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# Optional: Alternative Model Providers
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# ========================================
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# For trajectory summarization (optional)
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# SUMMARY_LLM_PROVIDER=openai
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# SUMMARY_LLM_MODEL=gpt-4o-mini
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# SUMMARY_LLM_API_KEY=your_api_key_here
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# ========================================
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# MCP Server Configuration (if using)
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# ========================================
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# MCP_SERVER_URL=http://localhost:4242
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# MCP_SERVER_TOKEN=your_token_here
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