sickn33/agentic-awesome-skills/applicationinsights-web-ts
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Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web).
Install
npx vskill@latest install sickn33/agentic-awesome-skills/applicationinsights-web-tsSKILL.md
Application Insights JavaScript SDK (Web) for TypeScript
When to Use
Use this skill when you need 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 with explicitly verified backend correlation.
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
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.
Quick Start (npm)
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>:
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
Telemetry Initializers (enrichment & filtering)
Run for every envelope before send. Return false to drop.
Click Analytics
Mark elements with data-ai-* attributes; clicks are emitted as Custom Events with parent-content metadata.
SPA Route Tracking
- Built-in: set
enableAutoRouteTracking: true. Hookshistory.pushState/replaceStateandpopstate. - React Router: use
@microsoft/applicationinsights-react-jswithAITrackingHOC (see references/framework-extensions.md). - Manual: call
appInsights.trackPageView({ name, uri })in your router'suseEffecton route change. DisableenableAutoRouteTrackingto avoid double counting.
Distributed Tracing (correlate to backend)
Set the named DistributedTracingModes.W3C (or deliberately select 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 approved cross-origin calls, enable correlation with an origin/domain allowlist. The server allows the calling origin via Access-Control-Allow-Origin and permits the required trace request headers; exposed response headers are a separate configuration.
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:
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.resultare 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
This is the start of the file. Read the full SKILL.md on GitHub.
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Source
- SKILL.md in the repositoryCheckingskills/applicationinsights-web-ts/SKILL.md
Popularity
- Repository stars
- 47,061
- Repository forks
- 6,855
- 7-day trend score
- 54
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