Docker部署ChatGLM3、One API、FastGPT

创建并运行chatglm3容器

docker run --name chatglm3 -p 8000:8000 registry.cn-hangzhou.aliyuncs.com/ryyan/chatglm.cpp:chatglm3-q5_1

创建并运行one-api容器

(其中挂载路径 D:\one-api 可以选择你自己喜欢的目录)

docker run --name oneapi -d -p 3000:3000 -e TZ=Asia/Shanghai -v D:\one-api:/data justsong/one-api

浏览器登录 http://127.0.0.1:3000/

默认用户名 root 密码 123456

添加渠道

添加令牌

复制令牌

测试一下刚刚创建的渠道

部署FastGPT

在你自己喜欢的磁盘上创建fastgpt目录，我是 D:\fastgpt

创建两个文件 docker-compose.yml 和 config.json

其中，docker-compose.yml 内容为：

# 非 host 版本, 不使用本机代理
version: '3.3'
services:pg:image: ankane/pgvector:v0.5.0 # git# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.5.0 # 阿里云container_name: pgrestart: alwaysports: # 生产环境建议不要暴露- 5432:5432networks:- fastgptenvironment:# 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果- POSTGRES_USER=username- POSTGRES_PASSWORD=password- POSTGRES_DB=postgresvolumes:- ./pg/data:/var/lib/postgresql/datamongo:image: mongo:5.0.18# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # 阿里云container_name: mongorestart: alwaysports: # 生产环境建议不要暴露- 27017:27017networks:- fastgptenvironment:# 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果- MONGO_INITDB_ROOT_USERNAME=username- MONGO_INITDB_ROOT_PASSWORD=passwordvolumes:- ./mongo/data:/data/dbfastgpt:container_name: fastgpt#image: ghcr.io/labring/fastgpt:latest # gitimage: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.6.6 # 阿里云ports:- 3020:3000 #与One API的默认3000地址冲突，所有修改为3020networks:- fastgptdepends_on:- mongo- pgrestart: alwaysenvironment:# root 密码，用户名为: root- DEFAULT_ROOT_PSW=1234# 中转地址，如果是用官方号，不需要管- OPENAI_BASE_URL=http://172.16.xxx.yyy:3000/v1- CHAT_API_KEY=sk-lBKqDxIOQtVgkPYo7274CbC9632748B6Ac8d515123456789- DB_MAX_LINK=5 # database max link- TOKEN_KEY=any- ROOT_KEY=root_key- FILE_TOKEN_KEY=filetoken# mongo 配置，不需要改. 如果连不上，可能需要去掉 ?authSource=admin- MONGODB_URI=mongodb://username:password@mongo:27017/fastgpt?authSource=admin# pg配置. 不需要改- PG_URL=postgresql://username:password@pg:5432/postgresvolumes:- ./config.json:/app/data/config.json
networks:fastgpt:

需要修改的地方是

- OPENAI_BASE_URL=http://172.16.xxx.yyy:3000/v1
- CHAT_API_KEY=sk-lBKqDxIOQtVgkPYo7274CbC9632748B6Ac8d515123456789

改成你的IP，和刚才在 One API 中复制的令牌

config.json 的内容为：

{"systemEnv": {"openapiPrefix": "fastgpt","vectorMaxProcess": 15,"qaMaxProcess": 15,"pgHNSWEfSearch": 100},"chatModels": [{"model": "chatglm3","name": "chatglm3","inputPrice": 0,"outputPrice": 0,"maxContext": 4000,"maxResponse": 4000,"quoteMaxToken": 2000,"maxTemperature": 1.2,"censor": false,"vision": false,"defaultSystemChatPrompt": ""}],"qaModels": [{"model": "gpt-3.5-turbo-16k","name": "GPT35-16k","maxContext": 16000,"maxResponse": 16000,"inputPrice": 0,"outputPrice": 0}],"cqModels": [{"model": "gpt-3.5-turbo","name": "GPT35","maxContext": 4000,"maxResponse": 4000,"inputPrice": 0,"outputPrice": 0,"toolChoice": true,"functionPrompt": ""},{"model": "gpt-4","name": "GPT4-8k","maxContext": 8000,"maxResponse": 8000,"inputPrice": 0,"outputPrice": 0,"toolChoice": true,"functionPrompt": ""}],"extractModels": [{"model": "gpt-3.5-turbo-1106","name": "GPT35-1106","maxContext": 16000,"maxResponse": 4000,"inputPrice": 0,"outputPrice": 0,"toolChoice": true,"functionPrompt": ""}],"qgModels": [{"model": "gpt-3.5-turbo-1106","name": "GPT35-1106","maxContext": 1600,"maxResponse": 4000,"inputPrice": 0,"outputPrice": 0}],"vectorModels": [{"model": "text-embedding-ada-002","name": "Embedding-2","inputPrice": 0,"outputPrice": 0,"defaultToken": 700,"maxToken": 3000,"weight": 100}],"reRankModels": [],"audioSpeechModels": [{"model": "tts-1","name": "OpenAI TTS1","inputPrice": 0,"outputPrice": 0,"voices": [{"label": "Alloy","value": "alloy","bufferId": "openai-Alloy"},{"label": "Echo","value": "echo","bufferId": "openai-Echo"},{"label": "Fable","value": "fable","bufferId": "openai-Fable"},{"label": "Onyx","value": "onyx","bufferId": "openai-Onyx"},{"label": "Nova","value": "nova","bufferId": "openai-Nova"},{"label": "Shimmer","value": "shimmer","bufferId": "openai-Shimmer"}]}],"whisperModel": {"model": "whisper-1","name": "Whisper1","inputPrice": 0,"outputPrice": 0}
}

保存完之后，在当前目录中打开 Windows PowerShell，我是用 Git Bash Here, 两个都是一样的。

输入以下两个命令：

拉取镜像

docker-compose pull

运行容器

docker-compose up -d

如果需要修改docker-compose.yml，执行

docker-compose down

docker-compose up -d

就能重新构建容器了

运行成功了，可以使用 docker ps 命令检查以下所有容器是否正常启动

打开浏览器访问 http://127.0.0.1:3020/

默认用户名 root 密码 1234

接下来就是玩了：

--------------------------------------------------------添加其他更多模型------------------------------------------------------------------------------------------------------

前提条件，先安装其他模型，请看文章 docker安装ollama-CSDN博客

例如，我这里又加上了 llama2 和 gemma:7b，可以直接修改config.json文件