# 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"