FastGPT/deploy/dev/docker-compose.yml

# 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
    extra_hosts:
      - 'host.docker.internal:host-gateway'
    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"