mirror of
https://github.com/SMNETSTUDIO/WeChat-AI.git
synced 2026-08-12 22:23:42 +08:00
88 lines
2.8 KiB
YAML
88 lines
2.8 KiB
YAML
# WeChat-AI
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#
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# 1. 配置 .env（REDIS_URL / LINUXDO_* / LLM_* / PUBLIC_BASE_URL）
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# 用户自定义 LLM + 联网搜索：TOOLS_BASE_URL / TOOLS_API_KEY → wechat-ai-tools
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# 2. pnpm docker:up
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# 升版 + 本地 OTA pack + compose up --build
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# 通道发布：/admin → 上传 files.json（无需 CLI Cookie）
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# （直接 docker compose up -d --build 不会升版本、不会 pack）
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# 3. 打开 https://你的域名/app
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#
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# 注意：容器内 WECHAT_AI_HOST 强制 0.0.0.0；OAuth 回调请用公网域名。
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#
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# 多节点：本 compose 默认单副本。多机时在各服务器分别 docker run 同镜像，
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# 共享 REDIS_URL / PUBLIC_BASE_URL（主域名），每机设唯一 WORKER_ID，
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# 主域名反代用 cloudflare-worker（静态 ORIGINS）。见 docs/docker.md。
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#
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# 工具网关（可选 profile tools）：
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# docker compose --profile tools up -d --build
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# 主站 .env: TOOLS_BASE_URL=http://wechat-ai-tools:7860 TOOLS_API_KEY=...
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services:
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wechat-ai:
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build:
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context: .
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dockerfile: Dockerfile
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image: wechat-ai:latest
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container_name: wechat-ai
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restart: unless-stopped
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# Give the graceful shutdown time to release bot leases before SIGKILL
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stop_grace_period: 30s
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ports:
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- "${WECHAT_AI_PORT:-8787}:8787"
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env_file:
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- .env
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environment:
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WECHAT_AI_HOST: "0.0.0.0"
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WECHAT_AI_PORT: "8787"
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NODE_ENV: production
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# 单机默认；多节点请在各机覆盖为唯一 ID
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# WORKER_ID: node-01
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healthcheck:
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test:
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[
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"CMD",
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"node",
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"-e",
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"fetch('http://127.0.0.1:8787/health').then(r=>process.exit(r.ok?0:1)).catch(()=>process.exit(1))",
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]
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interval: 30s
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timeout: 8s
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retries: 3
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start_period: 50s
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# User custom LLM egress + web search (platform LLM stays on wechat-ai)
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wechat-ai-tools:
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profiles: ["tools"]
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build:
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context: ./huggingface/wechat-ai-tools
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dockerfile: Dockerfile
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image: wechat-ai-tools:latest
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container_name: wechat-ai-tools
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restart: unless-stopped
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ports:
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- "${TOOLS_PORT:-7860}:7860"
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environment:
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HOST: "0.0.0.0"
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PORT: "7860"
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TOOLS_API_KEY: "${TOOLS_API_KEY:-}"
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ALLOW_REQUEST_UPSTREAM: "true"
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UPSTREAM_DENY_PRIVATE: "true"
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SEARCH_PROVIDER: "${SEARCH_PROVIDER:-ddg}"
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# Optional demo fallback only (main site uses its own LLM_* for platform)
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UPSTREAM_LLM_BASE_URL: "${UPSTREAM_LLM_BASE_URL:-}"
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UPSTREAM_LLM_API_KEY: "${UPSTREAM_LLM_API_KEY:-}"
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UPSTREAM_LLM_MODEL: "${UPSTREAM_LLM_MODEL:-gpt-4o-mini}"
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healthcheck:
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test:
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[
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"CMD",
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"python",
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"-c",
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"import urllib.request; urllib.request.urlopen('http://127.0.0.1:7860/health', timeout=5)",
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]
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interval: 30s
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timeout: 8s
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retries: 3
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start_period: 25s
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