azure-microsoft-playwright-testing-ts

作者: microsoft

Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipelines, or publishing test results to the Azure portal.

npx skills add https://github.com/microsoft/skills --skill azure-microsoft-playwright-testing-ts

Azure Playwright Workspaces SDK for TypeScript

Run Playwright tests at scale with cloud-hosted browsers and integrated Azure portal reporting.

Migration Notice: @azure/microsoft-playwright-testing is retired on March 8, 2026. Use @azure/playwright instead. See migration guide.

Installation

# Recommended: Auto-generates config
npm init @azure/playwright@latest

# Manual installation
npm install @azure/playwright --save-dev
npm install @playwright/test@^1.47 --save-dev
npm install @azure/identity --save-dev

Requirements:

  • Playwright version 1.47+ (basic usage)
  • Playwright version 1.57+ (Azure reporter features)

Environment Variables

PLAYWRIGHT_SERVICE_URL=wss://eastus.api.playwright.microsoft.com/playwrightworkspaces/{workspace-id}/browsers
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production

Authentication

Microsoft Entra Token Credential (Recommended)

# Sign in with Azure CLI
az login
// playwright.service.config.ts
import { defineConfig } from "@playwright/test";
import { createAzurePlaywrightConfig, ServiceOS } from "@azure/playwright";
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";
import config from "./playwright.config";

// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();

export default defineConfig(
  config,
  createAzurePlaywrightConfig(config, {
    os: ServiceOS.LINUX,
    credential,
  })
);

Custom Credential

import { ManagedIdentityCredential } from "@azure/identity";
import { createAzurePlaywrightConfig } from "@azure/playwright";

export default defineConfig(
  config,
  createAzurePlaywrightConfig(config, {
    credential: new ManagedIdentityCredential(),
  })
);

Core Workflow

Service Configuration

// playwright.service.config.ts
import { defineConfig } from "@playwright/test";
import { createAzurePlaywrightConfig, ServiceOS } from "@azure/playwright";
import { DefaultAzureCredential } from "@azure/identity";
import config from "./playwright.config";

export default defineConfig(
  config,
  createAzurePlaywrightConfig(config, {
    os: ServiceOS.LINUX,
    connectTimeout: 30000,
    exposeNetwork: "<loopback>",
    credential: new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]}),
  })
);

Run Tests

npx playwright test --config=playwright.service.config.ts --workers=20

With Azure Reporter

import { defineConfig } from "@playwright/test";
import { createAzurePlaywrightConfig, ServiceOS } from "@azure/playwright";
import { DefaultAzureCredential } from "@azure/identity";
import config from "./playwright.config";

export default defineConfig(
  config,
  createAzurePlaywrightConfig(config, {
    os: ServiceOS.LINUX,
    credential: new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]}),
  }),
  {
    reporter: [
      ["html", { open: "never" }],
      ["@azure/playwright/reporter"],
    ],
  }
);

Manual Browser Connection

import playwright, { test, expect, BrowserType } from "@playwright/test";
import { getConnectOptions } from "@azure/playwright";

test("manual connection", async ({ browserName }) => {
  const { wsEndpoint, options } = await getConnectOptions();
  const browser = await (playwright[browserName] as BrowserType).connect(wsEndpoint, options);
  const context = await browser.newContext();
  const page = await context.newPage();

  await page.goto("https://example.com");
  await expect(page).toHaveTitle(/Example/);

  await browser.close();
});

Configuration Options

type PlaywrightServiceAdditionalOptions = {
  serviceAuthType?: "ENTRA_ID" | "ACCESS_TOKEN";  // Default: ENTRA_ID
  os?: "linux" | "windows";                        // Default: linux
  runName?: string;                                // Custom run name for portal
  connectTimeout?: number;                         // Default: 30000ms
  exposeNetwork?: string;                          // Default: <loopback>
  credential?: TokenCredential;                    // REQUIRED for Entra ID
};

ServiceOS Enum

import { ServiceOS } from "@azure/playwright";

// Available values
ServiceOS.LINUX   // "linux" - default
ServiceOS.WINDOWS // "windows"

ServiceAuth Enum

import { ServiceAuth } from "@azure/playwright";

// Available values
ServiceAuth.ENTRA_ID      // Recommended - uses credential
ServiceAuth.ACCESS_TOKEN  // Use PLAYWRIGHT_SERVICE_ACCESS_TOKEN env var

CI/CD Integration

GitHub Actions

name: playwright-ts
on: [push, pull_request]

permissions:
  id-token: write
  contents: read

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Azure Login
        uses: azure/login@v2
        with:
          client-id: ${{ secrets.AZURE_CLIENT_ID }}
          tenant-id: ${{ secrets.AZURE_TENANT_ID }}
          subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}

      - run: npm ci
      
      - name: Run Tests
        env:
          PLAYWRIGHT_SERVICE_URL: ${{ secrets.PLAYWRIGHT_SERVICE_URL }}
        run: npx playwright test -c playwright.service.config.ts --workers=20

Azure Pipelines

- task: AzureCLI@2
  displayName: Run Playwright Tests
  env:
    PLAYWRIGHT_SERVICE_URL: $(PLAYWRIGHT_SERVICE_URL)
  inputs:
    azureSubscription: My_Service_Connection
    scriptType: pscore
    inlineScript: |
      npx playwright test -c playwright.service.config.ts --workers=20
    addSpnToEnvironment: true

Key Types

import {
  createAzurePlaywrightConfig,
  getConnectOptions,
  ServiceOS,
  ServiceAuth,
  ServiceEnvironmentVariable,
} from "@azure/playwright";

import type {
  OsType,
  AuthenticationType,
  BrowserConnectOptions,
  PlaywrightServiceAdditionalOptions,
} from "@azure/playwright";

Migration from Old Package

Old (@azure/microsoft-playwright-testing)New (@azure/playwright)
getServiceConfig()createAzurePlaywrightConfig()
timeout optionconnectTimeout option
runId optionrunName option
useCloudHostedBrowsers optionRemoved (always enabled)
@azure/microsoft-playwright-testing/reporter@azure/playwright/reporter
Implicit credentialExplicit credential parameter

Before (Old)

import { getServiceConfig, ServiceOS } from "@azure/microsoft-playwright-testing";

export default defineConfig(
  config,
  getServiceConfig(config, {
    os: ServiceOS.LINUX,
    timeout: 30000,
    useCloudHostedBrowsers: true,
  }),
  {
    reporter: [["@azure/microsoft-playwright-testing/reporter"]],
  }
);

After (New)

import { createAzurePlaywrightConfig, ServiceOS } from "@azure/playwright";
import { DefaultAzureCredential } from "@azure/identity";

export default defineConfig(
  config,
  createAzurePlaywrightConfig(config, {
    os: ServiceOS.LINUX,
    connectTimeout: 30000,
    credential: new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]}),
  }),
  {
    reporter: [
      ["html", { open: "never" }],
      ["@azure/playwright/reporter"],
    ],
  }
);

Best Practices

  1. Use Microsoft Entra Token Credential — More secure than access tokens
  2. Use DefaultAzureCredential for local development; use ManagedIdentityCredential or WorkloadIdentityCredential for production
  3. Enable artifacts — Set trace: "on-first-retry", video: "retain-on-failure" in config
  4. Scale workers — Use --workers=20 or higher for parallel execution
  5. Region selection — Choose region closest to your test targets
  6. HTML reporter first — When using Azure reporter, list HTML reporter before Azure reporter

來自 microsoft 的更多技能

oss-growth
microsoft
開源增長駭客角色
agent-framework-azure-ai-py
microsoft
使用Microsoft Agent Framework Python SDK(agent-framework-azure-ai)构建Azure AI Foundry代理。适用于使用AzureAIAgentsProvider创建持久化代理、使用托管工具(代码解释器、文件搜索、网络搜索)、集成MCP服务器、管理对话线程或实现流式响应。涵盖函数工具、结构化输出和多工具代理。
development
airunway-aks-setup
microsoft
在AKS上設定AI Runway——從裸叢集到執行模型。涵蓋叢集驗證、控制器安裝、GPU評估、供應商設定及首次部署。時機:「設定AI Runway」、「上線AKS叢集」、「安裝AI Runway」、「airunway設定」、「部署模型至AKS」、「在AKS上進行GPU推論」、「在AKS上設定KAITO」、「在AKS上執行LLM」、「在AKS上使用vLLM」、「在AKS上設定模型服務」、「AI Runway控制器」。
devops
appinsights-instrumentation
microsoft
使用Azure Application Insights檢測Web應用程式的指南。提供遙測模式、SDK設定與組態參考。適用時機:如何檢測應用程式、App Insights SDK、遙測模式、什麼是App Insights、Application Insights指南、檢測範例、APM最佳實踐。
devops
applicationinsights-web-ts
microsoft
使用Application Insights JavaScript SDK(@microsoft/applicationinsights-web)為瀏覽器/Web應用程式進行檢測。適用於真實使用者監控(RUM)——頁面檢視、點擊、AJAX/fetch依賴、例外、自訂事件,以及與後端OpenTelemetry追蹤關聯的瀏覽器端GenAI代理追蹤。涵蓋SDK載入器指令碼與npm設定、框架擴充(React、React Native、Angular)、點擊分析、遙測初始化器,以及從瀏覽器發出的代理/工具/模型span的OTel GenAI語意慣例。
devops
azure-ai-anomalydetector-java
microsoft
使用適用於 Java 的 Azure AI 異常偵測器 SDK 建置異常偵測應用程式。在實作單變量/多變量異常偵測、時間序列分析或 AI 驅動監控時使用。
development
azure-ai-language-conversations-py
microsoft
使用 azure-ai-language-conversations Python SDK 實作對話語言理解(CLU)。當使用 ConversationAnalysisClient 分析對話意圖與實體、建置 NLP 功能,或將語言理解整合至應用程式時使用。
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python。用於機器學習工作區、作業、模型、資料集、計算資源與管線。 觸發詞:「azure-ai-ml」、「MLClient」、「workspace」、「model registry」、「training jobs」、「datasets」。
development