58 lines
2.1 KiB
Plaintext
58 lines
2.1 KiB
Plaintext
# LLM API配置（支持 OpenAI SDK 格式的任意 LLM API）
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# 推荐使用阿里百炼平台qwen-plus模型：https://bailian.console.aliyun.com/
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# 注意消耗较大，可先进行小于40轮的模拟尝试
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LLM_API_KEY=your_api_key_here
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LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
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LLM_MODEL_NAME=qwen-plus
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LLM_CONTEXT_WINDOW=8192
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LLM_MAX_CONCURRENCY=1
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LLM_JSON_MAX_RETRIES=2
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ONTOLOGY_MAX_OUTPUT_TOKENS=2048
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ONTOLOGY_PROMPT_MARGIN_TOKENS=512
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ONTOLOGY_MAX_CHUNKS=8
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LOCAL_ZEP_EXTRACT_MAX_OUTPUT_TOKENS=2048
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LOCAL_ZEP_EXTRACT_MAX_RETRIES=2
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# ===== Local Zep / Embeddings 配置 =====
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# 使用 OpenAI-compatible embeddings 接口，vLLM 可作为首选后端
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EMBEDDING_API_KEY=local-embedding-key
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EMBEDDING_BASE_URL=http://localhost:8001/v1
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EMBEDDING_MODEL_NAME=your_embedding_model_here
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# 可选：cross_encoder reranker 接口；不配置时本地图谱会自动回退到 RRF
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RERANKER_API_KEY=local-reranker-key
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RERANKER_BASE_URL=http://localhost:8002/v1
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RERANKER_MODEL_NAME=your_reranker_model_here
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LOCAL_ZEP_RERANK_TOP_K=50
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# 本地图谱 SQLite 路径（可选）
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LOCAL_ZEP_DB_PATH=backend/data/local_zep.sqlite3
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# Optional: Python executable for the original OASIS/CAMEL simulation runner.
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# Use this when the backend runs on Python 3.13 but OASIS is installed in a Python 3.11 venv.
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# OASIS_PYTHON=/absolute/path/to/oasis-venv/bin/python
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# ===== Tailscale / Remote Access（可选）=====
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# 前端开发模式默认会通过 /api 代理访问后端，适合直接用 Tailscale 访问 http://<tailnet-host>:3000
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VITE_API_BASE_URL=
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VITE_DEV_HOST=0.0.0.0
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VITE_DEV_PORT=3000
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VITE_DEV_PROXY_TARGET=http://127.0.0.1:5001
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VITE_ALLOWED_HOSTS=localhost,127.0.0.1,.ts.net,.beta.tailscale.net
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# 如果通过 MagicDNS 访问时 HMR 需要显式指定，可取消注释
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# VITE_HMR_HOST=your-machine.your-tailnet.ts.net
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# VITE_HMR_CLIENT_PORT=3000
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FLASK_HOST=0.0.0.0
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FLASK_PORT=5001
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ENABLE_PROXY_FIX=false
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PUBLIC_BASE_URL=
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TAILSCALE_URL=
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# ===== 加速 LLM 配置（可选）=====
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# 注意如果不使用加速配置，env文件中就不要出现下面的配置项
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LLM_BOOST_API_KEY=your_api_key_here
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LLM_BOOST_BASE_URL=your_base_url_here
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LLM_BOOST_MODEL_NAME=your_model_name_here
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