FastGPT
docker-compose.yml
# 数据库的默认账号和密码仅首次运行时设置有效
# 如果修改了账号密码,记得改数据库和项目连接参数,别只改一处~
# 该配置文件只是给快速启动,测试使用。正式使用,记得务必修改账号密码,以及调整合适的知识库参数,共享内存等。
version: '3.5'
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: pg
restart: always
ports: # 生产环境建议不要暴露
- 5432:5432
networks:
- fastgpt
environment:
# 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=postgres
volumes:
- ./fastgpt/pg/data:/var/lib/postgresql/data
mongo:
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18
image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo
container_name: mongo
restart: always
ports:
- 27017:27017
networks:
- fastgpt
command: mongod --keyFile /data/mongodb.key --replSet rs0
environment:
- MONGO_INITDB_ROOT_USERNAME=myusername
- MONGO_INITDB_ROOT_PASSWORD=mypassword
volumes:
- ./fastgpt/mongo/data:/data/db
entrypoint:
- bash
- -c
- |
openssl rand -base64 128 > /data/mongodb.key
chmod 400 /data/mongodb.key
chown 999:999 /data/mongodb.key
echo 'const isInited = rs.status().ok === 1
if(!isInited){
rs.initiate({
_id: "rs0",
members: [
{ _id: 0, host: "mongo:27017" }
]
})
}' > /data/initReplicaSet.js
# 启动MongoDB服务
exec docker-entrypoint.sh "$@" &
# 等待MongoDB服务启动
until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')" > /dev/null 2>&1; do
echo "Waiting for MongoDB to start..."
sleep 2
done
# 执行初始化副本集的脚本
mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js
# 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
wait $!
fastgpt:
container_name: fastgpt
image: ghcr.io/labring/fastgpt:latest # git
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest # 阿里云
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.7 # git
# image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.7 # 阿里云
ports:
- 3000:3000
networks:
- fastgpt
depends_on:
- mongo
- pg
restart: always
environment:
# root 密码,用户名为: root。如果需要修改 root 密码,直接修改这个环境变量,并重启即可。
- DEFAULT_ROOT_PSW=1234
# AI模型的API地址哦。务必加 /v1。这里默认填写了OneApi的访问地址。
- OPENAI_BASE_URL=http://host.docker.internal:3001/v1
# AI模型的API Key。(这里默认填写了OneAPI的快速默认key,测试通后,务必及时修改)
- CHAT_API_KEY=sk-ofGHcFy1GxBggVez02AfCb179fF242AfAa4e01435674829c
# 数据库最大连接数
- DB_MAX_LINK=30
# 登录凭证密钥
- TOKEN_KEY=any
# root的密钥,常用于升级时候的初始化请求
- ROOT_KEY=root_key
# 文件阅读加密
- FILE_TOKEN_KEY=filetoken
# MongoDB 连接参数. 用户名myusername,密码mypassword。
- MONGODB_URI=mongodb://myusername:mypassword@mongo:27017/fastgpt?authSource=admin
# pg 连接参数
- PG_URL=postgresql://username:password@pg:5432/postgres
volumes:
- ./config.json:/app/data/config.json
- ./fastgpt/tmp:/app/tmp
mysql:
image: mysql:8.0.36
container_name: mysql
restart: always
ports:
- 3306:3306
networks:
- fastgpt
command: --default-authentication-plugin=mysql_native_password
environment:
# 默认root密码,仅首次运行有效
MYSQL_ROOT_PASSWORD: oneapimmysql
MYSQL_DATABASE: oneapi
volumes:
- ./fastgpt/mysql:/var/lib/mysql
oneapi:
container_name: oneapi
image: ghcr.io/songquanpeng/one-api:latest
ports:
- 3001:3000
depends_on:
- mysql
networks:
- fastgpt
restart: always
environment:
# 日期
- TZ=Asia/Shanghai
# mysql 连接参数
- SQL_DSN=root:oneapimmysql@tcp(mysql:3306)/oneapi
# 登录凭证加密密钥
- SESSION_SECRET=oneapikey
# 内存缓存
- MEMORY_CACHE_ENABLED=true
# 启动聚合更新,减少数据交互频率
- BATCH_UPDATE_ENABLED=true
# 聚合更新时长
- BATCH_UPDATE_INTERVAL=10
# 初始化的 root 密钥(建议部署完后更改,否则容易泄露)
- INITIAL_ROOT_TOKEN=fastgpt
volumes:
- ./fastgpt/oneapi:/data
m3e:
container_name: m3e
image: registry.cn-hangzhou.aliyuncs.com/fastgpt_docker/m3e-large-api
restart: always
ports:
- 6100:6008
networks:
- fastgpt
openwebui:
container_name: open-webui
image: ghcr.io/open-webui/open-webui:main
ports:
- 3002:8080
networks:
- fastgpt
restart: always
environment:
# root 密码,用户名为: root。如果需要修改 root 密码,直接修改这个环境变量,并重启即可。
- OLLAMA_BASE_URL=http://host.docker.internal:11434
volumes:
- ./fastgpt/open-webui:/app/backend/data
ollama:
container_name: ollama
image: ollama/ollama
ports:
- 11434:11434
networks:
- fastgpt
restart: always
volumes:
- ./fastgpt/ollama:/root/.ollama
networks:
fastgpt:
config.json
{
"systemEnv": {
"openapiPrefix": "fastgpt",
"vectorMaxProcess": 15,
"qaMaxProcess": 15,
"pgHNSWEfSearch": 100
},
"llmModels": [
{
"model": "gpt-3.5-turbo",
"name": "gpt-3.5-turbo",
"maxContext": 16000,
"avatar": "/imgs/model/openai.svg",
"maxResponse": 4000,
"quoteMaxToken": 13000,
"maxTemperature": 1.2,
"charsPointsPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": true,
"usedInClassify": true,
"usedInExtractFields": true,
"usedInToolCall": true,
"usedInQueryExtension": true,
"toolChoice": true,
"functionCall": true,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
},
{
"model": "freegpt35",
"name": "FreeGPT35",
"maxContext": 16000,
"avatar": "/imgs/model/openai.svg",
"maxResponse": 4000,
"quoteMaxToken": 13000,
"maxTemperature": 1.2,
"charsPointsPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": true,
"usedInClassify": true,
"usedInExtractFields": true,
"usedInToolCall": true,
"usedInQueryExtension": true,
"toolChoice": true,
"functionCall": true,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
},
{
"model": "local-model",
"name": "LM Studio",
"avatar": "/imgs/model/openai.svg",
"maxContext": 125000,
"maxResponse": 4000,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"charsPointsPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": true,
"usedInClassify": true,
"usedInExtractFields": true,
"usedInToolCall": true,
"usedInQueryExtension": true,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
},
{
"model": "Kimi-free",
"name": "Kimi-free",
"avatar": "/imgs/model/openai.svg",
"maxContext": 125000,
"maxResponse": 4000,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"charsPointsPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": true,
"usedInClassify": true,
"usedInExtractFields": true,
"usedInToolCall": true,
"usedInQueryExtension": true,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
},
{
"model": "chatglm3",
"name": "chatglm3",
"avatar": "/imgs/model/openai.svg",
"maxContext": 125000,
"maxResponse": 4000,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"charsPointsPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": true,
"usedInClassify": true,
"usedInExtractFields": true,
"usedInToolCall": true,
"usedInQueryExtension": true,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
},
{
"model": "gemini-pro",
"name": "gemini",
"maxContext": 128000,
"maxResponse": 4000,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"inputPrice": 0,
"outputPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": false,
"toolChoice": false,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
},
{
"model": "TGW",
"name": "TGW",
"avatar": "/imgs/model/openai.svg",
"maxContext": 125000,
"maxResponse": 4000,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"charsPointsPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": true,
"usedInClassify": true,
"usedInExtractFields": true,
"usedInToolCall": true,
"usedInQueryExtension": true,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
},
{
"model": "gpt-4-0125-preview",
"name": "gpt-4-turbo",
"avatar": "/imgs/model/openai.svg",
"maxContext": 125000,
"maxResponse": 4000,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"charsPointsPrice": 0,
"censor": false,
"vision": false,
"datasetProcess": false,
"usedInClassify": true,
"usedInExtractFields": true,
"usedInToolCall": true,
"usedInQueryExtension": true,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
},
{
"model": "gpt-4-vision-preview",
"name": "gpt-4-vision",
"avatar": "/imgs/model/openai.svg",
"maxContext": 128000,
"maxResponse": 4000,
"quoteMaxToken": 100000,
"maxTemperature": 1.2,
"charsPointsPrice": 0,
"censor": false,
"vision": true,
"datasetProcess": false,
"usedInClassify": false,
"usedInExtractFields": false,
"usedInToolCall": false,
"usedInQueryExtension": false,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
}
],
"vectorModels": [
{
"model": "text-embedding-ada-002",
"name": "Embedding-2",
"avatar": "/imgs/model/openai.svg",
"charsPointsPrice": 0,
"defaultToken": 512,
"maxToken": 3000,
"weight": 100,
"dbConfig": {},
"queryConfig": {}
},
{
"model": "m3e",
"name": "m3e",
"price": 0.1,
"defaultToken": 500,
"maxToken": 1800
},
{
"model": "bge",
"name": "bge",
"price": 0.1,
"defaultToken": 500,
"maxToken": 1800
}
],
"reRankModels": [
{
"model": "bge-reranker-base",
"name": "检索重排-base",
"charsPointsPrice": 0,
"requestUrl": "http://192.168.50.63:6300/v1/rerank",
"requestAuth": "sk-aaaabbbcccdddeeeefffggghhhiiijjjkkkk"
}
],
"audioSpeechModels": [
{
"model": "tts-1",
"name": "OpenAI TTS1",
"charsPointsPrice": 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",
"charsPointsPrice": 0
}
}
标签:fastgpt,false,name,流程,openai,自动化,GPT,model,true
From: https://www.cnblogs.com/WTAGO/p/18320480