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feat: add more Agent services & easytier

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Summer Shen
2026-04-19 12:26:54 +08:00
parent 0e948befac
commit 0b5ba69cb0
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apps/skyvern/.env.example
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# Global Registry Prefix (optional)
# GLOBAL_REGISTRY=
# Service Versions
SKYVERN_VERSION=v1.0.31
POSTGRES_VERSION=15
# Timezone
TZ=UTC
# Host ports
SKYVERN_PORT_OVERRIDE=8000
SKYVERN_UI_PORT_OVERRIDE=8080
# Skyvern API Key (CHANGEME: set a strong random key for the REST API)
SKYVERN_API_KEY=changeme_skyvern_api_key_CHANGEME
# Browser type: chromium-headless (default), chromium, or chrome
BROWSER_TYPE=chromium-headless
# LLM Provider API Keys (at least one is required for task automation)
# OPENAI_API_KEY=sk-...
# ANTHROPIC_API_KEY=sk-ant-...
# PostgreSQL password
POSTGRES_PASSWORD=skyvern
# UI → API connection (must be the address reachable from the user's browser)
VITE_API_BASE_URL=http://localhost:8000
VITE_WSS_BASE_URL=ws://localhost:8000
# Resource Limits - Skyvern backend (includes Playwright + Chromium)
SKYVERN_CPU_LIMIT=2
SKYVERN_MEMORY_LIMIT=4G
SKYVERN_CPU_RESERVATION=0.5
SKYVERN_MEMORY_RESERVATION=1G
# Resource Limits - Skyvern UI
SKYVERN_UI_CPU_LIMIT=0.5
SKYVERN_UI_MEMORY_LIMIT=256M
SKYVERN_UI_CPU_RESERVATION=0.1
SKYVERN_UI_MEMORY_RESERVATION=64M
# Resource Limits - PostgreSQL
POSTGRES_CPU_LIMIT=1
POSTGRES_MEMORY_LIMIT=1G
POSTGRES_CPU_RESERVATION=0.25
POSTGRES_MEMORY_RESERVATION=256M
apps/skyvern/README.md
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# Skyvern
[English](./README.md) | [中文](./README.zh.md)
Quick start: <https://docs.skyvern.com>.
This service deploys Skyvern, an AI-powered browser automation platform that uses LLMs and computer vision to execute tasks in web browsers. It can fill forms, navigate websites, and complete multi-step workflows without custom scripts.
## Services
- **skyvern**: The Skyvern API server with embedded Playwright + Chromium.
- **skyvern-ui**: React-based web UI for task management and browser session viewing.
- **postgres**: PostgreSQL database for task history and state.
## Quick Start
1. Copy `.env.example` to `.env`:
```bash
cp .env.example .env
```
2. Set your LLM API key and change the Skyvern API key in `.env`:
```
SKYVERN_API_KEY=your-strong-api-key
OPENAI_API_KEY=sk-...
```
3. Start the services:
```bash
docker compose up -d
```
4. Open `http://localhost:8080` for the web UI, or send tasks to the API at `http://localhost:8000`.
## Core Environment Variables
| Variable | Description | Default |
| ----------------------- | -------------------------------------------------------------------- | -------------------- |
| `SKYVERN_VERSION` | Image version (applies to both skyvern and skyvern-ui) | `v1.0.31` |
| `SKYVERN_PORT_OVERRIDE` | Host port for the API | `8000` |
| `SKYVERN_UI_PORT_OVERRIDE` | Host port for the web UI | `8080` |
| `SKYVERN_API_KEY` | API key for authenticating requests to the Skyvern server — **CHANGEME** | placeholder |
| `BROWSER_TYPE` | Browser type: `chromium-headless`, `chromium`, or `chrome` | `chromium-headless` |
| `OPENAI_API_KEY` | OpenAI API key (recommended for best results) | *(empty)* |
| `ANTHROPIC_API_KEY` | Anthropic API key (alternative to OpenAI) | *(empty)* |
| `POSTGRES_PASSWORD` | PostgreSQL password | `skyvern` |
| `VITE_API_BASE_URL` | Skyvern API URL as seen from the user's browser | `http://localhost:8000` |
| `VITE_WSS_BASE_URL` | WebSocket URL for live session streaming | `ws://localhost:8000` |
## Volumes
- `skyvern_artifacts`: Downloaded files and task artifacts.
- `skyvern_videos`: Browser session recordings.
- `skyvern_har`: HTTP Archive (HAR) files for debugging.
- `skyvern_postgres_data`: PostgreSQL data persistence.
## Ports
- **8000**: Skyvern REST API
- **8080**: Skyvern web UI
## Resource Requirements
| Service | CPU Limit | Memory Limit |
| ---------- | --------- | ------------ |
| skyvern | 2 | 4 GB |
| skyvern-ui | 0.5 | 256 MB |
| postgres | 1 | 1 GB |
The `skyvern` service includes Playwright and Chromium. Allocate **4+ GB RAM** and **2+ CPU cores** for reliable browser automation.
## Notes
- Database migrations run automatically on startup via Alembic.
- If deploying behind a reverse proxy, update `VITE_API_BASE_URL` and `VITE_WSS_BASE_URL` to your public domain.
- The `SKYVERN_API_KEY` must be included in API requests as the `x-api-key` header.
## Documentation
- [Skyvern Docs](https://docs.skyvern.com)
- [GitHub](https://github.com/Skyvern-AI/skyvern)
apps/skyvern/README.zh.md
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# Skyvern
[English](./README.md) | [中文](./README.zh.md)
快速开始：<https://docs.skyvern.com>。
此服务用于部署 Skyvern，一个由 AI 驱动的浏览器自动化平台，使用 LLM 和计算机视觉在 Web 浏览器中执行任务。无需编写自定义脚本，即可填写表单、导航网站和完成多步骤工作流。
## 服务
- **skyvern**：集成了 Playwright + Chromium 的 Skyvern API 服务器。
- **skyvern-ui**：用于任务管理和浏览器会话查看的 React Web UI。
- **postgres**：PostgreSQL 数据库，用于存储任务历史和状态。
## 快速开始
1. 将 `.env.example` 复制为 `.env`：
```bash
cp .env.example .env
```
2. 在 `.env` 中设置 LLM API Key 并更改 Skyvern API Key：
```
SKYVERN_API_KEY=your-strong-api-key
OPENAI_API_KEY=sk-...
```
3. 启动服务：
```bash
docker compose up -d
```
4. 打开 `http://localhost:8080` 访问 Web UI，或通过 `http://localhost:8000` 向 API 发送任务。
## 核心环境变量
| 变量 | 说明 | 默认值 |
| -------------------------- | ------------------------------------------------------- | ------------------------ |
| `SKYVERN_VERSION` | 镜像版本（同时适用于 skyvern 和 skyvern-ui） | `v1.0.31` |
| `SKYVERN_PORT_OVERRIDE` | API 宿主机端口 | `8000` |
| `SKYVERN_UI_PORT_OVERRIDE` | Web UI 宿主机端口 | `8080` |
| `SKYVERN_API_KEY` | 请求 Skyvern 服务器的认证 API Key——**请修改** | 占位符 |
| `BROWSER_TYPE` | 浏览器类型：`chromium-headless`、`chromium` 或 `chrome` | `chromium-headless` |
| `OPENAI_API_KEY` | OpenAI API Key（推荐，效果最佳） | *(空)* |
| `ANTHROPIC_API_KEY` | Anthropic API Key（OpenAI 的替代方案） | *(空)* |
| `POSTGRES_PASSWORD` | PostgreSQL 密码 | `skyvern` |
| `VITE_API_BASE_URL` | 从用户浏览器访问的 Skyvern API URL | `http://localhost:8000` |
| `VITE_WSS_BASE_URL` | 实时会话流的 WebSocket URL | `ws://localhost:8000` |
## 数据卷
- `skyvern_artifacts`：下载的文件和任务产物。
- `skyvern_videos`：浏览器会话录像。
- `skyvern_har`：用于调试的 HTTP 存档（HAR）文件。
- `skyvern_postgres_data`：PostgreSQL 数据持久化。
## 端口
- **8000**：Skyvern REST API
- **8080**：Skyvern Web UI
## 资源需求
| 服务 | CPU 限制 | 内存限制 |
| ---------- | -------- | -------- |
| skyvern | 2 | 4 GB |
| skyvern-ui | 0.5 | 256 MB |
| postgres | 1 | 1 GB |
`skyvern` 服务包含 Playwright 和 Chromium，需分配 **4+ GB RAM** 和 **2+ CPU 核心**以保证浏览器自动化的稳定运行。
## 说明
- 数据库迁移通过 Alembic 在启动时自动运行。
- 如果部署在反向代理后，请将 `VITE_API_BASE_URL` 和 `VITE_WSS_BASE_URL` 更新为你的公网域名。
- API 请求中必须在 `x-api-key` 请求头中包含 `SKYVERN_API_KEY`。
## 文档
- [Skyvern 文档](https://docs.skyvern.com)
- [GitHub](https://github.com/Skyvern-AI/skyvern)
apps/skyvern/docker-compose.yaml
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# Change SKYVERN_API_KEY before exposing this stack externally.
# Fields marked with CHANGEME must be updated for any non-local deployment.
x-defaults: &defaults
restart: unless-stopped
logging:
driver: json-file
options:
max-size: 100m
max-file: '3'
services:
skyvern:
<<: *defaults
image: ${GLOBAL_REGISTRY:-}skyvern/skyvern:${SKYVERN_VERSION:-v1.0.31}
depends_on:
postgres:
condition: service_healthy
ports:
- '${SKYVERN_PORT_OVERRIDE:-8000}:8000'
volumes:
- skyvern_artifacts:/data/artifacts
- skyvern_videos:/data/videos
- skyvern_har:/data/har
environment:
- TZ=${TZ:-UTC}
- DATABASE_STRING=postgresql+psycopg2://skyvern:${POSTGRES_PASSWORD:-skyvern}@postgres:5432/skyvern
- SKYVERN_API_KEY=${SKYVERN_API_KEY:-changeme_skyvern_api_key_CHANGEME}
- BROWSER_TYPE=${BROWSER_TYPE:-chromium-headless}
- VIDEO_PATH=/data/videos
- HAR_PATH=/data/har
- ARTIFACT_STORAGE_PATH=/data/artifacts
- OPENAI_API_KEY=${OPENAI_API_KEY:-}
- ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY:-}
healthcheck:
test:
- CMD
- python3
- -c
- "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/v1/heartbeat')"
interval: 30s
timeout: 10s
retries: 5
start_period: 30s
deploy:
resources:
limits:
cpus: ${SKYVERN_CPU_LIMIT:-2}
memory: ${SKYVERN_MEMORY_LIMIT:-4G}
reservations:
cpus: ${SKYVERN_CPU_RESERVATION:-0.5}
memory: ${SKYVERN_MEMORY_RESERVATION:-1G}
skyvern-ui:
<<: *defaults
image: ${GLOBAL_REGISTRY:-}skyvern/skyvern-ui:${SKYVERN_VERSION:-v1.0.31}
depends_on:
skyvern:
condition: service_healthy
ports:
- '${SKYVERN_UI_PORT_OVERRIDE:-8080}:8080'
environment:
- TZ=${TZ:-UTC}
- VITE_API_BASE_URL=${VITE_API_BASE_URL:-http://localhost:8000}
- VITE_WSS_BASE_URL=${VITE_WSS_BASE_URL:-ws://localhost:8000}
healthcheck:
test: [CMD-SHELL, "curl -sf http://localhost:8080/ > /dev/null 2>&1 || exit 1"]
interval: 30s
timeout: 10s
retries: 3
start_period: 15s
deploy:
resources:
limits:
cpus: ${SKYVERN_UI_CPU_LIMIT:-0.5}
memory: ${SKYVERN_UI_MEMORY_LIMIT:-256M}
reservations:
cpus: ${SKYVERN_UI_CPU_RESERVATION:-0.1}
memory: ${SKYVERN_UI_MEMORY_RESERVATION:-64M}
postgres:
<<: *defaults
image: ${GLOBAL_REGISTRY:-}postgres:${POSTGRES_VERSION:-15}
environment:
- POSTGRES_USER=skyvern
- POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-skyvern}
- POSTGRES_DB=skyvern
- TZ=UTC
- PGTZ=UTC
volumes:
- skyvern_postgres_data:/var/lib/postgresql/data
healthcheck:
test: [CMD-SHELL, pg_isready -U skyvern]
interval: 5s
timeout: 5s
retries: 10
deploy:
resources:
limits:
cpus: ${POSTGRES_CPU_LIMIT:-1}
memory: ${POSTGRES_MEMORY_LIMIT:-1G}
reservations:
cpus: ${POSTGRES_CPU_RESERVATION:-0.25}
memory: ${POSTGRES_MEMORY_RESERVATION:-256M}
volumes:
skyvern_artifacts:
skyvern_videos:
skyvern_har:
skyvern_postgres_data: