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FastGPT/deploy/dev/docker-compose.yml
2026-04-08 18:15:20 +08:00

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# 用于开发的 docker-compose 文件:
# - 只包含 FastGPT 的最小化运行条件
# - 没有 FastGPT 本体
# - 所有端口都映射到外层
# - fastgpt-pg: 5432
# - fastgpt-mongo: 27017
# - fastgpt-redis: 6379
# - fastgpt-code-sandbox: 3002
# - fastgpt-mcp-server: 3003
# - fastgpt-plugin: 3004
# - fastgpt-volume-manager: 3005
# - opensandbox-server: 8090
# - fastgpt-aiproxy: 3010
# - fastgpt-aiproxy-pg: 5432
# - 使用 pgvector 作为默认的向量库
# - 配置 opensandbox-config 的 network_mode 为 docker 网络,如 dev_fastgpt
# - 配置 opensandbox-config 的 host_ip 为宿主机 LAN IP如 192.168.1.100
# plugin auth token
x-plugin-auth-token: &x-plugin-auth-token 'token'
# code sandbox token
x-code-sandbox-token: &x-code-sandbox-token 'codesandbox'
# volume manager auth token
x-volume-manager-auth-token: &x-volume-manager-auth-token 'vmtoken'
# aiproxy token
x-aiproxy-token: &x-aiproxy-token 'token'
# 数据库连接相关配置
x-share-db-config: &x-share-db-config
MONGODB_URI: mongodb://myusername:mypassword@fastgpt-mongo:27017/fastgpt?authSource=admin
DB_MAX_LINK: 100
REDIS_URL: redis://default:mypassword@fastgpt-redis:6379
# @see https://doc.fastgpt.cn/docs/self-host/config/object-storage
STORAGE_VENDOR: minio # minio | aws-s3 | cos | oss
STORAGE_REGION: us-east-1
STORAGE_ACCESS_KEY_ID: minioadmin
STORAGE_SECRET_ACCESS_KEY: minioadmin
STORAGE_PUBLIC_BUCKET: fastgpt-public
STORAGE_PRIVATE_BUCKET: fastgpt-private
STORAGE_EXTERNAL_ENDPOINT: http://192.168.0.2:9000 # 一个服务器和客户端均可访问到存储桶的地址,可以是固定的宿主机 IP 或者域名,注意不要填写成 127.0.0.1 或者 localhost 等本地回环地址(因为容器里无法使用)
STORAGE_S3_ENDPOINT: http://fastgpt-minio:9000 # 协议://域名(IP):端口
STORAGE_S3_FORCE_PATH_STYLE: true
STORAGE_S3_MAX_RETRIES: 3
# Log 配置
x-log-config: &x-log-config
LOG_ENABLE_CONSOLE: true
LOG_CONSOLE_LEVEL: debug
LOG_ENABLE_OTEL: false
LOG_OTEL_LEVEL: info
LOG_OTEL_URL: http://localhost:4318/v1/logs
services:
# Vector DB
fastgpt-pg:
image: pgvector/pgvector:0.8.0-pg15
container_name: fastgpt-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:/var/lib/postgresql/data
healthcheck:
test: ['CMD', 'pg_isready', '-U', 'username', '-d', 'postgres']
interval: 5s
timeout: 5s
retries: 10
# DB
fastgpt-mongo:
image: mongo:5.0.32 # cpu 不支持 AVX 时候使用 4.4.29
container_name: fastgpt-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/db
healthcheck:
test:
[
'CMD',
'mongo',
'-u',
'myusername',
'-p',
'mypassword',
'--authenticationDatabase',
'admin',
'--eval',
"db.adminCommand('ping')"
]
interval: 10s
timeout: 5s
retries: 5
start_period: 30s
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: "fastgpt-mongo:27017" }
]
})
}' > /data/initReplicaSet.js
# 启动MongoDB服务
exec docker-entrypoint.sh "$$@" &
# 等待MongoDB服务启动
until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')"; do
echo "Waiting for MongoDB to start..."
sleep 2
done
# 执行初始化副本集的脚本
mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js
# 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
wait $$!
fastgpt-redis:
image: redis:7.2-alpine
container_name: fastgpt-redis
ports:
- 6379:6379
networks:
- fastgpt
restart: always
command: |
redis-server --requirepass mypassword --loglevel warning --maxclients 10000 --appendonly yes --save 60 10 --maxmemory 4gb --maxmemory-policy noeviction
healthcheck:
test: ['CMD', 'redis-cli', '-a', 'mypassword', 'ping']
interval: 10s
timeout: 3s
retries: 3
start_period: 30s
volumes:
- fastgpt-redis:/data
fastgpt-minio:
image: minio/minio:RELEASE.2025-09-07T16-13-09Z # cpu 不支持 AVX 时候使用 RELEASE.2025-09-07T16-13-09Z-cpuv1
container_name: fastgpt-minio
restart: always
networks:
- fastgpt
ports:
- '9000:9000'
- '9001:9001'
environment:
- MINIO_ROOT_USER=minioadmin
- MINIO_ROOT_PASSWORD=minioadmin
volumes:
- fastgpt-minio:/data
command: server /data --console-address ":9001"
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:9000/minio/health/live']
interval: 30s
timeout: 20s
retries: 3
fastgpt-code-sandbox:
container_name: fastgpt-code-sandbox
image: ghcr.io/labring/fastgpt-code-sandbox:v4.14.10
ports:
- 3002:3000
networks:
- fastgpt
restart: always
environment:
<<: [*x-log-config]
LOG_OTEL_SERVICE_NAME: fastgpt-code-sandbox
SANDBOX_TOKEN: *x-code-sandbox-token
# ===== Resource Limits =====
# Execution timeout per request (ms)
SANDBOX_MAX_TIMEOUT: 60000
# Maximum allowed memory per user code execution (MB)
# Note: System automatically adds 50MB for runtime overhead
# Actual process limit = SANDBOX_MAX_MEMORY_MB + 50MB
SANDBOX_MAX_MEMORY_MB: 256
# ===== Process Pool =====
# Number of pre-warmed worker processes (JS + Python)
SANDBOX_POOL_SIZE: 20
# ===== Network Request Limits =====
# Whether to check if the request is to a private network
CHECK_INTERNAL_IP: false
# Maximum number of HTTP requests per execution
SANDBOX_REQUEST_MAX_COUNT: 30
# Timeout for each outbound HTTP request (ms)
SANDBOX_REQUEST_TIMEOUT: 60000
# Maximum response body size for outbound requests
SANDBOX_REQUEST_MAX_RESPONSE_MB: 10
# Maximum request body size for outbound requests (MB)
SANDBOX_REQUEST_MAX_BODY_MB: 5
# ===== Module Control =====
# JS allowed modules whitelist (comma-separated)
SANDBOX_JS_ALLOWED_MODULES: lodash,dayjs,moment,uuid,crypto-js,qs,url,querystring
# Python allowed modules whitelist (comma-separated)
SANDBOX_PYTHON_ALLOWED_MODULES: math,cmath,decimal,fractions,random,statistics,collections,array,heapq,bisect,queue,copy,itertools,functools,operator,string,re,difflib,textwrap,unicodedata,codecs,datetime,time,calendar,_strptime,json,csv,base64,binascii,struct,hashlib,hmac,secrets,uuid,typing,abc,enum,dataclasses,contextlib,pprint,weakref,numpy,pandas,matplotlib
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
fastgpt-mcp-server:
container_name: fastgpt-mcp-server
image: ghcr.io/labring/fastgpt-mcp_server:v4.14.10
ports:
- 3003:3000
networks:
- fastgpt
restart: always
environment:
- FASTGPT_ENDPOINT=http://fastgpt:3000
fastgpt-plugin:
image: ghcr.io/labring/fastgpt-plugin:v0.5.6
container_name: fastgpt-plugin
restart: always
ports:
- 3004:3000
networks:
- fastgpt
environment:
<<: [*x-share-db-config, *x-log-config]
AUTH_TOKEN: *x-plugin-auth-token
# 工具网络请求,最大请求和响应体
SERVICE_REQUEST_MAX_CONTENT_LENGTH: 10
# 最大 API 请求体大小
MAX_API_SIZE: 10
# 传递给 OTLP 收集器的服务名称
LOG_OTEL_SERVICE_NAME: fastgpt-plugin
depends_on:
fastgpt-minio:
condition: service_healthy
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/health']
interval: 30s
timeout: 20s
retries: 3
# 沙盒控制器:管理 Docker 容器的创建/执行/停止/删除
# runtime=docker 模式需要挂载 Docker socket
# 配置 docker.host_ip 为宿主机 LAN IP容器内访问宿主机服务用
opensandbox-server:
image: opensandbox/server:v0.1.9
container_name: fastgpt-opensandbox-server
restart: always
ports:
- 8090:8090
networks:
- fastgpt
volumes:
- /var/run/docker.sock:/var/run/docker.sock # Docker 模式必须挂载
configs:
- source: opensandbox-config
target: /etc/opensandbox/config.toml
environment:
SANDBOX_CONFIG_PATH: /etc/opensandbox/config.toml
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:8090/health']
interval: 10s
timeout: 5s
retries: 5
# Pre-pull only: not started by `docker compose up` (uses profile `prepull`).
opensandbox-agent-sandbox-image:
image: ghcr.io/labring/fastgpt-agent-sandbox:v0.1
profiles:
- prepull
opensandbox-execd-image:
image: opensandbox/execd:v1.0.7
profiles:
- prepull
opensandbox-egress-image:
image: opensandbox/egress:v1.0.3
profiles:
- prepull
# 卷管理微服务:负责幂等创建/删除 Docker named volume 或 k8s PVC
fastgpt-volume-manager:
image: ghcr.io/labring/fastgpt-agent-volume-manager:v0.1
container_name: fastgpt-volume-manager
restart: always
ports:
- 3005:3000
networks:
- fastgpt
volumes:
- /var/run/docker.sock:/var/run/docker.sock:ro # Docker 模式必须挂载(只读即可)
environment:
PORT: 3000
VM_RUNTIME: docker
VM_AUTH_TOKEN: *x-volume-manager-auth-token # 对应 AGENT_SANDBOX_VOLUME_MANAGER_TOKEN
VM_VOLUME_NAME_PREFIX: fastgpt-session # volume 名称前缀
VM_LOG_LEVEL: info
healthcheck:
test:
[
'CMD',
'bun',
'-e',
"fetch('http://localhost:3000/health').then((res) => { if (!res.ok) throw new Error(String(res.status)); })"
]
interval: 10s
timeout: 5s
retries: 5
# AI Proxy
fastgpt-aiproxy:
image: ghcr.io/labring/aiproxy:v0.3.5
container_name: fastgpt-aiproxy
restart: unless-stopped
ports:
- 3010:3000
depends_on:
fastgpt-aiproxy-pg:
condition: service_healthy
networks:
- fastgpt
- aiproxy
environment:
# 对应 fastgpt 里的AIPROXY_API_TOKEN
ADMIN_KEY: *x-aiproxy-token
# 错误日志详情保存时间(小时)
LOG_DETAIL_STORAGE_HOURS: 1
# 数据库连接地址
SQL_DSN: postgres://postgres:aiproxy@fastgpt-aiproxy-pg:5432/aiproxy
# 最大重试次数
RETRY_TIMES: 3
# 不需要计费
BILLING_ENABLED: false
# 不需要严格检测模型
DISABLE_MODEL_CONFIG: true
healthcheck:
test: ['CMD', 'curl', '-f', 'http://localhost:3000/api/status']
interval: 5s
timeout: 5s
retries: 10
fastgpt-aiproxy-pg:
image: pgvector/pgvector:0.8.0-pg15 # docker hub
restart: unless-stopped
container_name: fastgpt-aiproxy-pg
volumes:
- fastgpt-aiproxy_pg:/var/lib/postgresql/data
networks:
- aiproxy
environment:
TZ: Asia/Shanghai
POSTGRES_USER: postgres
POSTGRES_DB: aiproxy
POSTGRES_PASSWORD: aiproxy
healthcheck:
test: ['CMD', 'pg_isready', '-U', 'postgres', '-d', 'aiproxy']
interval: 5s
timeout: 5s
retries: 10
networks:
fastgpt:
aiproxy:
volumes:
fastgpt-pg:
fastgpt-mongo:
fastgpt-redis:
fastgpt-minio:
fastgpt-aiproxy_pg:
configs:
opensandbox-config:
content: |
[server]
host = "0.0.0.0"
port = 8090
log_level = "INFO"
[runtime]
type = "docker"
execd_image = "opensandbox/execd:v1.0.7"
[egress]
image = "opensandbox/egress:v1.0.3"
[docker]
network_mode = "bridge"
# When server runs in a container, set host_ip to the host's IP or hostname so bridge-mode endpoints are reachable (e.g. host.docker.internal or the host LAN IP).
# It's required when server deployed with docker container under host.
host_ip = "host.docker.internal"
drop_capabilities = ["AUDIT_WRITE", "MKNOD", "NET_ADMIN", "NET_RAW", "SYS_ADMIN", "SYS_MODULE", "SYS_PTRACE", "SYS_TIME", "SYS_TTY_CONFIG"]
no_new_privileges = true
pids_limit = 512
[ingress]
mode = "direct"