applicationinsights-web-ts — Claude Code skill
Set up Application Insights telemetry for browser apps, including page views, requests, and exceptions. Use it for RUM or to connect browser-side GenAI agent traces with backend spans.
npx skills add microsoft/skills --skill applicationinsights-web-ts -a claude-codeWhat applicationinsights-web-ts does
This skill guides setup of @microsoft/applicationinsights-web in browser apps. The SDK collects page views, AJAX and fetch dependencies, and unhandled exceptions; Click Analytics adds click tracking. You can also send custom events, metrics, and GenAI agent traces correlated with backend spans through W3C Trace Context.
It covers npm and SDK Loader Script setup, route tracking, and extensions for React, React Native, and Angular. Browser telemetry needs a connection string at initialization. It is sent to clients in plaintext, and Microsoft Entra ID auth is not supported for this use. If browser telemetry should be isolated from backend data, use a separate Application Insights resource.
Install it when you are adding monitoring to a web client or linking browser agent traces to backend traces. For Node.js server apps, use the separate server-focused skill.
What it helps with
- add page-view tracking to an SPA
- track browser AJAX and fetch requests
- send application events and metrics
- correlate browser GenAI agent traces with backend spans
- collect clicks with Click Analytics
Example prompts for the agent
- Set up Application Insights in this React app and track page views.
- Add exception and fetch tracking with `@microsoft/applicationinsights-web`.
- Configure browser-side GenAI agent traces to correlate with backend spans.
How to install applicationinsights-web-ts
1Skills CLI (Vercel)
npx skills add microsoft/skills --skill applicationinsights-web-ts -a claude-code2Manually: put the files in place
~/.claude/skills/applicationinsights-web-ts/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/applicationinsights-web-ts/
Manually: put the files in place
.agents/skills/applicationinsights-web-ts/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/applicationinsights-web-ts/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install microsoft/skills applicationinsights-web-ts2Manually: put the files in place
.github/skills/applicationinsights-web-ts/SKILL.mdPlatform CLI
gemini skills install https://github.com/microsoft/skills --path .github/plugins/azure-sdk-typescript/skills/applicationinsights-web-tsManually: put the files in place
.devin/skills/applicationinsights-web-ts/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
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Questions about applicationinsights-web-ts
How do I install applicationinsights-web-ts in Claude Code?
Run npx skills add microsoft/skills --skill applicationinsights-web-ts -a claude-code.
What does applicationinsights-web-ts do?
It guides setup of the browser Application Insights SDK to collect page views, requests, and exceptions. It also covers custom events, metrics, and GenAI agent traces.
What does browser telemetry need?
The SDK needs a connection string during initialization. It is exposed to clients in plaintext, and Microsoft Entra ID auth is not supported for browser telemetry.
Source text
SKILL.md · MIT
---
name: applicationinsights-web-ts
description: Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
license: MIT
metadata:
author: Microsoft
version: "1.0.0"
package: "@microsoft/applicationinsights-web"
---
# Application Insights JavaScript SDK (Web) for TypeScript
Real User Monitoring (RUM) for browser apps with `@microsoft/applicationinsights-web`. Auto-collects page views, AJAX/fetch dependencies, unhandled exceptions, and (with the Click Analytics plugin) clicks. Supports custom events, metrics, and **GenAI agent traces** that follow OpenTelemetry GenAI semantic conventions and correlate to backend spans via W3C Trace Context.
> **Distinct from `azure-monitor-opentelemetry-ts`**, which is for Node.js server apps. This skill is for **browser/web** code (and React Native).
## Before Implementation
Search `microsoft-docs` MCP for current API patterns:
- Query: "Application Insights JavaScript SDK setup"
- Query: "Application Insights JavaScript SDK configuration"
- Query: "Application Insights JavaScript framework extensions React Angular"
- Verify package version: `npm view @microsoft/applicationinsights-web version`
## Packages
| Package | Purpose |
| --- | --- |
| `@microsoft/applicationinsights-web` | Core RUM SDK (page views, AJAX, exceptions). |
| `@microsoft/applicationinsights-clickanalytics-js` | Auto-collect click telemetry. |
| `@microsoft/applicationinsights-react-js` | React plugin (router instrumentation, hooks, HOC, ErrorBoundary). |
| `@microsoft/applicationinsights-react-native` | React Native plugin (native crashes, sessions). |
| `@microsoft/applicationinsights-angularplugin-js` | Angular plugin (router events, ErrorHandler). |
| `@microsoft/applicationinsights-debugplugin-js` | Dev-only telemetry inspector. |
| `@microsoft/applicationinsights-perfmarkmeasure-js` | User Timing (`performance.mark/measure`) integration. |
## Installation
```bash
npm i --save @microsoft/applicationinsights-web
# Optional plugins (install only what you use):
npm i --save @microsoft/applicationinsights-clickanalytics-js
npm i --save @microsoft/applicationinsights-react-js @microsoft/applicationinsights-react-native @microsoft/applicationinsights-angularplugin-js
```
Typings ship with the package — no separate `@types/...` install needed.
## Connection String
The browser SDK requires a connection string at init time. **It ships in plaintext to clients** — Microsoft Entra ID auth is not supported for browser telemetry. Use a separate App Insights resource with local auth enabled for browser RUM if you need to isolate it from backend telemetry.
```bash
# Vite / CRA / Next.js — expose to client via the public env prefix
VITE_APPINSIGHTS_CONNECTION_STRING="InstrumentationKey=...;IngestionEndpoint=https://...;LiveEndpoint=https://..."
NEXT_PUBLIC_APPINSIGHTS_CONNECTION_STRING="InstrumentationKey=..."
```
## Quick Start (npm)
```typescript
import { ApplicationInsights } from "@microsoft/applicationinsights-web";
export const appInsights = new ApplicationInsights({
config: {
connectionString: import.meta.env.VITE_APPINSIGHTS_CONNECTION_STRING,
enableAutoRouteTracking: true, // SPA route changes -> page views
enableCorsCorrelation: true, // propagate Request-Id / traceparent to cross-origin AJAX
enableRequestHeaderTracking: true,
enableResponseHeaderTracking: true,
distributedTracingMode: 2, // DistributedTracingModes.AI_AND_W3C — emit traceparent for backend correlation
autoTrackPageVisitTime: true,
disableFetchTracking: false, // fetch() is auto-instrumented by default
excludeRequestFromAutoTrackingPatterns: [/livemetrics\.azure\.com/i]
}
});
appInsights.loadAppInsights();
appInsights.trackPageView();
```
Call `loadAppInsights()` exactly once, as early as possible (before user interactions you want tracked). Then `trackPageView()` for the initial load — when `enableAutoRouteTracking` is on, subsequent route changes are automatic.
## Quick Start (SDK Loader Script)
Recommended when you want auto-updating SDK and zero build pipeline. Paste this as the **first** `<script>` in `<head>`:
```html
<script type="text/javascript" src="https://js.monitor.azure.com/scripts/b/ai.3.gbl.min.js" crossorigin="anonymous"></script>
<script type="text/javascript">
var appInsights = window.appInsights || function (cfg) {
/* See: https://learn.microsoft.com/azure/azure-monitor/app/javascript-sdk
Use the latest snippet from the Microsoft Learn page above — it includes
backup-CDN failover (cr), SDK-load-failure reporting, and the queue shim
so calls before SDK ready are not lost. */
}({ src: "https://js.monitor.azure.com/scripts/b/ai.3.gbl.min.js",
crossOrigin: "anonymous",
cfg: { connectionString: "YOUR_CONNECTION_STRING" } });
</script>
```
Loader-only API (queued until SDK loads): `trackEvent`, `trackPageView`, `trackException`, `trackTrace`, `trackDependencyData`, `trackMetric`, `trackPageViewPerformance`, `startTrackPage`, `stopTrackPage`, `startTrackEvent`, `stopTrackEvent`, `addTelemetryInitializer`, `setAuthenticatedUserContext`, `clearAuthenticatedUserContext`, `flush`.
## Core Tracking APIs
```typescript
// Page views (SPAs that disable enableAutoRouteTracking)
appInsights.trackPageView({ name: "Checkout", uri: "/checkout", properties: { cartSize: 3 } });
// Custom events (user actions, business events)
appInsights.trackEvent({ name: "PurchaseCompleted" }, { orderId: "ord_123", amountUsd: 49.95 });
// Exceptions (caught errors)
try {
await pay(order);
} catch (err) {
appInsights.trackException({ exception: err as Error, severityLevel: 3, properties: { orderId: order.id } });
}
// Traces (logs, severity 0=Verbose, 1=Info, 2=Warning, 3=Error, 4=Critical)
appInsights.trackTrace({ message: "Cart hydrated from local storage", severityLevel: 1 });
// Custom metrics (numeric)
appInsights.trackMetric({ name: "checkout.duration_ms", average: 1234 });
// Dependencies (manually-tracked outbound calls — fetch/XHR are auto-tracked)
appInsights.trackDependencyData({
id: crypto.randomUUID(),
name: "GET /api/orders",
duration: 87, success: true, responseCode: 200,
data: "https://api.example.com/api/orders", target: "api.example.com", type: "Fetch"
});
// User identity (set ONCE per authenticated session — values are PII; do not pass emails)
appInsights.setAuthenticatedUserContext("user-id-123", "tenant-456", /*storeInCookie*/ true);
appInsights.clearAuthenticatedUserContext(); // on logout
// Force send before unload
appInsights.flush();
```
## Telemetry Initializers (enrichment & filtering)
Run for every envelope before send. Return `false` to drop.
```typescript
import type { ITelemetryItem } from "@microsoft/applicationinsights-web";
appInsights.addTelemetryInitializer((item: ITelemetryItem) => {
item.tags ??= {};
item.tags["ai.cloud.role"] = "web-shop";
item.tags["ai.cloud.roleInstance"] = window.location.hostname;
item.data ??= {};
item.data["app.version"] = import.meta.env.VITE_APP_VERSION;
item.data["app.build"] = import.meta.env.VITE_BUILD_SHA;
// Drop noisy health-check page views
if (item.baseType === "PageviewData" && item.baseData?.uri?.endsWith("/healthz")) return false;
// Scrub query-string secrets
if (item.baseData?.uri) {
item.baseData.uri = item.baseData.uri.replace(/([?&](token|sig|key)=)[^&]+/gi, "$1REDACTED");
}
});
```
## Click Analytics
```typescript
import { ClickAnalyticsPlugin } from "@microsoft/applicationinsights-clickanalytics-js";
const clickPlugin = new ClickAnalyticsPlugin();
const appInsights = new ApplicationInsights({
config: {
connectionString: import.meta.env.VITE_APPINSIGHTS_CONNECTION_STRING,
extensions: [clickPlugin],
extensionConfig: {
[clickPlugin.identifier]: {
autoCapture: true,
dataTags: { useDefaultContentNameOrId: true, customDataPrefix: "data-ai-" },
urlCollectHash: false,
behaviorValidator: (b: string) => /^[a-z0-9_]+$/.test(b) ? b : ""
}
}
}
});
appInsights.loadAppInsights();
```
Mark elements with `data-ai-*` attributes; clicks are emitted as Custom Events with parent-content metadata.
## SPA Route Tracking
- **Built-in:** set `enableAutoRouteTracking: true`. Hooks `history.pushState/replaceState` and `popstate`.
- **React Router:** use `@microsoft/applicationinsights-react-js` `withAITracking` HOC (see [references/framework-extensions.md](references/framework-extensions.md)).
- **Manual:** call `appInsights.trackPageView({ name, uri })` in your router's `useEffect` on route change. Disable `enableAutoRouteTracking` to avoid double counting.
## Distributed Tracing (correlate to backend)
Set `distributedTracingMode: 2` (`DistributedTracingModes.AI_AND_W3C`). The SDK adds `traceparent` (and legacy `Request-Id`) to outbound `fetch`/`XHR`. Backends instrumented with **OpenTelemetry** (e.g. `@azure/monitor-opentelemetry`) auto-link to the browser's operation_Id.
For cross-origin calls, also set `enableCorsCorrelation: true` and add the calling origin to the **CORS exposed headers** on the API.
## GenAI Agent Traces (OTel semantic conventions)
When the browser invokes an AI agent (function-calling, tool-use, model calls direct from the client), emit App Insights **Dependency** telemetry whose attributes follow the OpenTelemetry **GenAI semantic conventions** so they are queryable alongside backend agent spans in App Insights / Log Analytics.
**Set the opt-in env first** so backend instrumentations agree on the same schema version:
```bash
OTEL_SEMCONV_STABILITY_OPT_IN=gen_ai_latest_experimental
```
### Required attribute keys (use the OTel names verbatim)
| Span / op | Required attributes |
| --- | --- |
| `invoke_agent {agent.name}` | `gen_ai.operation.name=invoke_agent`, `gen_ai.provider.name`, `gen_ai.agent.name`, `gen_ai.agent.id` (when known) |
| `create_agent {agent.name}` | `gen_ai.operation.name=create_agent`, `gen_ai.provider.name`, `gen_ai.agent.name`, `gen_ai.request.model` |
| `chat {model}` | `gen_ai.operation.name=chat`, `gen_ai.provider.name`, `gen_ai.request.model`, `gen_ai.response.model`, `gen_ai.usage.input_tokens`, `gen_ai.usage.output_tokens` |
| `execute_tool {tool.name}` | `gen_ai.operation.name=execute_tool`, `gen_ai.tool.name`, `gen_ai.tool.type` (`function` \| `extension` \| `datastore`), `gen_ai.tool.call.id` |
`gen_ai.provider.name` well-known values: `openai`, `azure.ai.openai`, `azure.ai.inference`, `anthropic`, `aws.bedrock`, `gcp.gemini`, `gcp.vertex_ai`, `cohere`, `mistral_ai`, `groq`, `deepseek`, `perplexity`, `x_ai`, `ibm.watsonx.ai`.
> **Sensitive content opt-in.** `gen_ai.system_instructions`, `gen_ai.input.messages`, `gen_ai.output.messages`, `gen_ai.tool.call.arguments`, `gen_ai.tool.call.result` are **Opt-In** by default. Gate them behind a runtime flag and avoid them in production unless you have approved data handling.
### Pattern: invoke_agent + nested tool/model spans
```typescript
import { ApplicationInsights, SeverityLevel } from "@microsoft/applicationinsights-web";
type GenAiAttrs = Record<string, string | number | boolean | undefined>;
function startGenAiSpan(name: string, attrs: GenAiAttrs) {
const id = crypto.randomUUID();
const start = performance.now();
const baseProps: GenAiAttrs = { "gen_ai.span.id": id, ...attrs };
return {
end(success: boolean, extra: GenAiAttrs = {}, error?: Error) {
const duration = Math.round(performance.now() - start);
const properties = { ...baseProps, ...extra };
appInsights.trackDependencyData({
id, name, duration, success,
responseCode: error ? 500 : 200,
type: "GenAI",
target: String(attrs["gen_ai.provider.name"] ?? "genai"),
properties: properties as Record<string, string>
});
if (error) {
appInsights.trackException({
exception: error,
severityLevel: SeverityLevel.Error,
properties: { ...properties, "error.type": error.name } as Record<string, string>
});
}
}
};
}
// Agent invocation
const agentSpan = startGenAiSpan("invoke_agent ResearchAssistant", {
"gen_ai.operation.name": "invoke_agent",
"gen_ai.provider.name": "azure.ai.openai",
"gen_ai.agent.name": "ResearchAssistant",
"gen_ai.agent.id": "asst_5j66UpCpwteGg4YSxUnt7lPY",
"gen_ai.request.model": "gpt-4o-mini",
"server.address": "myresource.openai.azure.com"
});
try {
// Nested chat completion span
const chat = startGenAiSpan("chat gpt-4o-mini", {
"gen_ai.operation.name": "chat",
"gen_ai.provider.name": "azure.ai.openai",
"gen_ai.request.model": "gpt-4o-mini"
});
const res = await callAzureOpenAi(/* ... */);
chat.end(true, {
"gen_ai.response.model": res.model,
"gen_ai.response.id": res.id,
"gen_ai.response.finish_reasons": JSON.stringify(res.choices.map(c => c.finish_reason)),
"gen_ai.usage.input_tokens": res.usage.prompt_tokens,
"gen_ai.usage.output_tokens": res.usage.completion_tokens,
"gen_ai.output.type": "text"
});
// Nested tool execution span
const tool = startGenAiSpan("execute_tool getWeather", {
"gen_ai.operation.name": "execute_tool",
"gen_ai.tool.name": "getWeather",
"gen_ai.tool.type": "function",
"gen_ai.tool.call.id": "call_abc123"
});
const toolResult = await runGetWeather({ location: "SF" });
tool.end(true);
agentSpan.end(true, {
"gen_ai.usage.input_tokens": res.usage.prompt_tokens,
"gen_ai.usage.output_tokens": res.usage.completion_tokens
});
} catch (err) {
agentSpan.end(false, { "error.type": (err as Error).name }, err as Error);
}
```
The browser's `traceparent` is automatically attached to outbound `fetch` (when `distributedTracingMode: 2`), so downstream Azure OpenAI / agent backend spans hang under the same operation_Id in App Insights.
For the full attribute reference, well-known values, and content-capture guidance, see [references/agent-traces.md](references/agent-traces.md).
### KQL: query GenAI traces in App Insights
```kusto
dependencies
| where type == "GenAI"
| extend op = tostring(customDimensions["gen_ai.operation.name"]),
agent = tostring(customDimensions["gen_ai.agent.name"]),
model = tostring(customDimensions["gen_ai.request.model"]),
tin = toint(customDimensions["gen_ai.usage.input_tokens"]),
tout = toint(customDimensions["gen_ai.usage.output_tokens"])
| summarize calls=count(), p95_ms=percentile(duration, 95),
avg_in=avg(tin), avg_out=avg(tout) by op, agent, model, bin(timestamp, 5m)
```
## React (TypeScript)
See [references/framework-extensions.md](references/framework-extensions.md) for full React, React Native, Angular, Next.js, and Vite recipes.
```typescript
import { ApplicationInsights } from "@microsoft/applicationinsights-web";
import { ReactPlugin, withAITracking } from "@microsoft/applicationinsights-react-js";
import { createBrowserHistory } from "history";
const reactPlugin = new ReactPlugin();
const browserHistory = createBrowserHistory();
export const appInsights = new ApplicationInsights({
config: {
connectionString: import.meta.env.VITE_APPINSIGHTS_CONNECTION_STRING,
extensions: [reactPlugin],
extensionConfig: { [reactPlugin.identifier]: { history: browserHistory } }
}
});
appInsights.loadAppInsights();
export const TrackedCheckout = withAITracking(reactPlugin, Checkout, "Checkout");
```
## React Native
```typescript
import { ApplicationInsights } from "@microsoft/applicationinsights-web";
import { ReactNativePlugin } from "@microsoft/applicationinsights-react-native";
const rnPlugin = new ReactNativePlugin();
const appInsights = new ApplicationInsights({
config: {
connectionString: process.env.EXPO_PUBLIC_APPINSIGHTS_CONNECTION_STRING,
extensions: [rnPlugin],
disableFetchTracking: false
}
});
appInsights.loadAppInsights();
```
## Performance — Web Vitals
Auto-collected: page-load timings via `PerformanceTiming` / `PerformanceNavigationTiming`. To add Core Web Vitals:
```typescript
import { onCLS, onLCP, onINP, type Metric } from "web-vitals";
function send(m: Metric) {
appInsights.trackMetric(
{ name: `web_vitals.${m.name.toLowerCase()}`, average: m.value },
{ rating: m.rating, navigationType: m.navigationType, id: m.id }
);
}
onCLS(send); onLCP(send); onINP(send);
```
## Cookies & Privacy
```typescript
new ApplicationInsights({ config: {
connectionString,
isCookieUseDisabled: true, // hard-disable all cookies
cookieCfg: { enabled: true, domain: ".example.com", path: "/", expiry: 365 }
}});
```
To honor consent dynamically:
```typescript
appInsights.getCookieMgr().setEnabled(userGaveConsent);
appInsights.config.disableTelemetry = !userGaveConsent;
```
## Sampling
Server-side ingestion sampling (recommended) is configured on the App Insights resource. SDK-side sampling reduces network use:
```typescript
new ApplicationInsights({ config: { connectionString, samplingPercentage: 50 } });
```
Per-type sampling via telemetry initializer: drop with `return false` based on `item.baseType`.
## Offline / Send-on-Unload
The SDK uses `sendBeacon` (default `onunloadDisableBeacon: false`) to flush on `pagehide` / `unload`. For SPAs, also call `appInsights.flush()` before destructive transitions (logout, hard reload).
## Common Pitfalls
1. **Do not initialize twice.** Re-importing the module under different bundles produces duplicate page views. Use a single shared module export.
2. **Initialize before first user input** to avoid losing early clicks/exceptions.
3. **Connection string is public** — never reuse the same App Insights resource for backend secrets.
4. **`enableAutoRouteTracking` + manual `trackPageView`** = duplicates. Pick one.
5. **CORS distributed tracing** requires the API to allow `Request-Id`, `Request-Context`, `traceparent`, `tracestate` request headers and expose `Request-Context` response header.
6. **GenAI sensitive content** (`gen_ai.input.messages` etc.) is Opt-In — never log without an explicit runtime flag and approved data handling.
7. **Agent token usage is on `chat` spans, not `invoke_agent`** — copy aggregated usage to the parent agent span only if you know it.
8. **React StrictMode** double-invokes effects in dev — guard `loadAppInsights()` with a module-level singleton.
## Bundle Size
The full web SDK is ~110 KB minified (~36 KB gzipped). For aggressive budgets, use the **Loader Script** path so the SDK loads asynchronously off the critical path, or tree-shake unused plugins.
## Key Types
```typescript
import {
ApplicationInsights,
SeverityLevel,
DistributedTracingModes,
type IConfiguration,
type IConfig,
type ITelemetryItem,
type ITelemetryPlugin,
type ICustomProperties,
type IPageViewTelemetry,
type IEventTelemetry,
type IExceptionTelemetry,
type ITraceTelemetry,
type IMetricTelemetry,
type IDependencyTelemetry
} from "@microsoft/applicationinsights-web";
```
## Best Practices
1. **One singleton instance** exported from a single module.
2. **Initialize early** in the app entrypoint, before router setup.
3. **Use telemetry initializers** to attach `app.version`, `tenantId`, and to scrub PII / query-string secrets.
4. **Set `distributedTracingMode: 2`** and ensure your APIs accept/expose W3C trace context headers.
5. **For GenAI**, follow OTel `gen_ai.*` attribute names verbatim — they are queryable across browser and backend telemetry uniformly.
6. **Gate sensitive content capture** (`gen_ai.input.messages` / `gen_ai.output.messages`) behind a build-time or runtime opt-in.
7. **Flush on logout / sensitive navigation** so in-flight telemetry isn't dropped.
## References
- [references/agent-traces.md](references/agent-traces.md) — Full OTel GenAI semconv distilled (agent / model / tool spans, attributes, content capture).
- [references/framework-extensions.md](references/framework-extensions.md) — React, React Native, Angular, Next.js, Vite recipes.
- [references/configuration.md](references/configuration.md) — Full `IConfiguration` reference and tuning guide.
- Microsoft Learn: <https://learn.microsoft.com/azure/azure-monitor/app/javascript-sdk>
- ApplicationInsights-JS source: <https://github.com/microsoft/ApplicationInsights-JS>
- OTel GenAI semantic conventions: <https://opentelemetry.io/docs/specs/semconv/gen-ai/>
© Microsoft · MIT · microsoft/skills