docs(deploy): 记录 wtfllm 生产部署要点与固定版本清单
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kb_build/req_extra.txt
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kb_build/req_extra.txt
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httpx==0.28.1
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orjson==3.12.0
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sqlmodel==0.0.42
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cachetools==7.1.7
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trafilatura==2.2.0
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ddgs==9.16.0
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fake-useragent==2.2.0
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pybase64==1.5.0
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pillowmd==0.7.3
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lxml==6.1.2
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tiktoken==0.13.0
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makefun==1.16.0
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fastembed==0.8.0
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qdrant-client==1.15.1
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pydantic-ai==1.107.5
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numpy==2.5.2
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lightgbm==4.7.0
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scikit-learn==1.9.0
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model2vec==0.9.0
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rapidocr==3.9.2
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kb_build/req_freeze.txt
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kb_build/req_freeze.txt
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aiofiles==25.1.0
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aiohttp==3.14.3
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aiosqlite==0.22.1
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annotated-types==0.7.0
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anyio==4.12.1
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APScheduler==3.11.3
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arclet-alconna==1.8.44
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arclet-alconna-tools==0.7.12
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argcomplete==3.7.2
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async-timeout==5.0.1
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openai==3.6.0
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beautifulsoup4==4.15.0
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bs4==0.0.2
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certifi==2025.8.3
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charset-normalizer==3.4.9
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click==8.5.0
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ecdsa==0.19.1
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exceptiongroup==1.3.1
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fastapi==0.115.6
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filetype==1.2.0
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greenlet==3.1.1
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h11==0.16.0
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httptools==0.8.0
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idna==3.19
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importlib_metadata==9.0.1
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iso8601==2.1.0
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jieba==0.42.1
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Jinja2==3.1.6
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loguru==0.7.2
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Markdown==3.10.3
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MarkupSafe==3.0.3
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msgpack==1.2.2
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multidict==6.7.1
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nepattern==0.7.8
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nonebot-adapter-onebot==2.4.6
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nonebot-plugin-alconna==0.62.1
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nonebot-plugin-apscheduler==0.2.0
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nonebot-plugin-htmlrender==0.8.1
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nonebot-plugin-localstore==0.7.4
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nonebot-plugin-send-anything-anywhere==0.7.1
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nonebot-plugin-uninfo==0.11.1
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nonebot-plugin-waiter==0.8.1
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nonebot2==2.5.0
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nonebot_plugin_learning_chat==0.4.0
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nonebot_plugin_withdraw==0.4.1
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packaging==25.0
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pillow==12.3.0
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pilmoji==2.0.5
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platformdirs==4.11.5
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playwright==1.59.0
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propcache==0.5.2
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pyasn1==0.6.4
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pydantic==2.13.5
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Pygments==2.20.0
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pygtrie==2.5.0
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pymdown-extensions==11.0.2
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python-dotenv==1.2.2
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python-jose==3.3.0
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python-markdown-math==0.9
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pytz==2023.3
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PyYAML==6.0.2
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requests==2.34.2
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rsa==4.9.1
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ruamel.yaml==0.17.40
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ruamel.yaml.clib==0.2.15
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six==1.17.0
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sniffio==1.3.1
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soupsieve==2.9.2
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starlette==0.41.3
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StrEnum==0.4.15
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tarina==0.7.5
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typing_extensions==4.16.0
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tzlocal==5.3.1
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urllib3==2.7.0
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uvicorn==0.52.4
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watchfiles==1.1.0
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websockets==16.1.1
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yarl==1.24.5
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zipp==4.1.0
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nonebot-plugin-wtfllm @ file:///root/wtfllm.zip
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httpx==0.28.1
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orjson==3.12.0
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sqlmodel==0.0.42
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cachetools==7.1.7
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trafilatura==2.2.0
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ddgs==9.16.0
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fake-useragent==2.2.0
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pybase64==1.5.0
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pillowmd==0.7.3
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lxml==6.1.2
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tiktoken==0.13.0
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makefun==1.16.0
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fastembed==0.8.0
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qdrant-client==1.15.1
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pydantic-ai==1.107.5
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numpy==2.5.2
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lightgbm==4.7.0
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scikit-learn==1.9.0
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model2vec==0.9.0
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rapidocr==3.9.2
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pydantic-settings # wtfllm/nonebot 运行需要
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appdirs # pyppeteer 依赖
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项目部署须知.md
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项目部署须知.md
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## 部署须知
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1. 当前项目生产环境部署在 本地服务器 192.168.5.2上;
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2. 可使用ssh技能,搭配本地密钥进行连接;
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3. 服务器上的项目路径为:/bot/danding-bot
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## 常规升级、部署流程
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1. 推送git代码;
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2. 到指定服务器、指定程序目录,拉取git最新代码;
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## 注意点
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- 所有服务器都使用1panel进行管理,包含网站、反代的搭建等;
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- 需要使用git进行代码版本的管理、同步;
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- 一切代码需要以git云端代码为准,若生产环境无法拉取,需要覆盖强制拉取;
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- 所有的代码升级或部署后,需要确保服务正在运行最新版本的代码(重启当前服务,并确保服务可正常运行);
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- 升级或部署前,若本地有未推送的代码,需要先推送到云端git;
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## wtfllm(AI 帮助助手)部署要点(2026-08-30)
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1. 生产环境已切换到 `/bot/danding-bot/.venv`(Python 3.12),启动命令改为 `start_bot.sh`(内含 `FASTEMBED_CACHE_PATH` 与 `HF_HUB_OFFLINE=1` 环境变量);
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2. 依赖按 `kb_build/req_freeze.txt` + `kb_build/req_extra.txt` 固定版本安装;`amis-python`、`nonebot_plugin_learning_chat`、`pyppeteer`、`nonebot-plugin-wtfllm` 需 `pip install --no-deps` 单独处理;
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3. 模型缓存已预置在 `/bot/danding-bot/.fastembed_cache`(bge-small-zh + Qdrant/bm25),服务器无法直连 HuggingFace/GitHub,勿删除;
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4. 知识库重灌:`cd /bot/danding-bot && FASTEMBED_CACHE_PATH=/bot/danding-bot/.fastembed_cache HF_HUB_OFFLINE=1 .venv/bin/python kb_build/import_kb.py --agent-id 1411350196`;
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5. 若启动报 Qdrant 启动超时,先 `kill -9` 残留的 qdrant.exe/qdrant 进程(数据目录被锁)再重启;
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6. wtfllm 仅在群 621016172 响应(见 `danding_bot/plugins/wtfllm_gate.py`)。
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