Sentry Nestjs Sdk logo

Sentry Nestjs Sdk

Organization
getsentry
sentry-nestjs-sdk

Full Sentry SDK setup for NestJS. Use when asked to "add Sentry to NestJS", "install @sentry/nestjs", "setup Sentry in NestJS", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for NestJS applications. Supports Express and Fastify adapters, GraphQL, microservices, WebSockets, and background jobs.

Overview

Publishergetsentry
Repositorysentry-for-ai
Skill namesentry-nestjs-sdk
Stars
269
Forks
34
Bundled files
7
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by getsentry on GitHub. Read the source before you install it.

Installation

Install the Sentry Nestjs Sdk AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/getsentry/sentry-for-ai/tree/main/skills-legacy/sentry-nestjs-sdk
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/getsentry/sentry-for-ai.git /tmp/sentry-for-ai
mkdir -p .claude/skills
cp -r /tmp/sentry-for-ai/skills-legacy/sentry-nestjs-sdk .claude/skills/sentry-nestjs-sdk
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sentry Nestjs Sdk in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sentry Nestjs Sdk on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sentry Nestjs Sdk is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

All Skills > SDK Setup > NestJS SDK

Sentry NestJS SDK

Opinionated wizard that scans your NestJS project and guides you through complete Sentry setup.

Invoke This Skill When

  • User asks to "add Sentry to NestJS" or "setup Sentry" in a NestJS app
  • User wants error monitoring, tracing, profiling, logging, metrics, or crons in NestJS
  • User mentions @sentry/nestjs or Sentry + NestJS
  • User wants to monitor NestJS controllers, services, guards, microservices, or background jobs

Note: SDK versions and APIs below reflect @sentry/nestjs 10.x (NestJS 8–11 supported). Always verify against docs.sentry.io/platforms/node/guides/nestjs/ before implementing.


Phase 1: Detect

Run these commands to understand the project before making recommendations:

bash
# Confirm NestJS project
grep -E '"@nestjs/core"' package.json 2>/dev/null

# Check NestJS version
node -e "console.log(require('./node_modules/@nestjs/core/package.json').version)" 2>/dev/null

# Check existing Sentry
grep -i sentry package.json 2>/dev/null
ls src/instrument.ts 2>/dev/null
grep -r "Sentry.init\|@sentry" src/main.ts src/instrument.ts 2>/dev/null

# Check for existing Sentry DI wrapper (common in enterprise NestJS)
grep -rE "SENTRY.*TOKEN|SentryProxy|SentryService" src/ libs/ 2>/dev/null

# Check for config-class-based init (vs env-var-based)
grep -rE "class SentryConfig|SentryConfig" src/ libs/ 2>/dev/null

# Check if SentryModule.forRoot() is already registered in a shared module
grep -rE "SentryModule\.forRoot|SentryProxyModule" src/ libs/ 2>/dev/null

# Detect HTTP adapter (default is Express)
grep -E "FastifyAdapter|@nestjs/platform-fastify" package.json src/main.ts 2>/dev/null

# Detect GraphQL
grep -E '"@nestjs/graphql"|"apollo-server"' package.json 2>/dev/null

# Detect microservices
grep '"@nestjs/microservices"' package.json 2>/dev/null

# Detect WebSockets
grep -E '"@nestjs/websockets"|"socket.io"' package.json 2>/dev/null

# Detect task queues / scheduled jobs
grep -E '"@nestjs/bull"|"@nestjs/bullmq"|"@nestjs/schedule"|"bullmq"|"bull"' package.json 2>/dev/null

# Detect databases
grep -E '"@prisma/client"|"typeorm"|"mongoose"|"pg"|"mysql2"' package.json 2>/dev/null

# Detect AI libraries
grep -E '"openai"|"@anthropic-ai"|"langchain"|"@langchain"|"@google/generative-ai"|"ai"' package.json 2>/dev/null

# Check for companion frontend
ls -d ../frontend ../web ../client ../ui 2>/dev/null

What to note:

  • Is @sentry/nestjs already installed? If yes, check if instrument.ts exists and Sentry.init() is called — may just need feature config.
  • Sentry DI wrapper detected? → The project wraps Sentry behind a DI token (e.g. SENTRY_PROXY_TOKEN) for testability. Use the injected proxy for all runtime Sentry calls (startSpan, captureException, withIsolationScope) instead of importing @sentry/nestjs directly in controllers, services, and processors. Only instrument.ts should import @sentry/nestjs directly.
  • Config class detected? → The project uses a typed config class for Sentry.init() options (e.g. loaded from YAML or @nestjs/config). Any new SDK options must be added to the config type — do not hardcode values that should be configurable per environment.
  • SentryModule.forRoot() already registered? → If it's in a shared module (e.g. a Sentry proxy module), do not add it again in AppModule — this causes duplicate interceptor registration.
  • Express (default) or Fastify adapter? Express is fully supported; Fastify works but has known edge cases.
  • GraphQL detected? → SentryGlobalFilter handles it natively.
  • Microservices detected? → Recommend RPC exception filter.
  • Task queues / @nestjs/schedule? → Recommend crons.
  • AI libraries? → Auto-instrumented, zero config.
  • Prisma? → Requires manual prismaIntegration().
  • Companion frontend? → Triggers Phase 4 cross-link.

Phase 2: Recommend

Based on what you found, present a concrete proposal. Don't ask open-ended questions — lead with a recommendation:

Always recommended (core coverage):

  • ✅ Error Monitoring — captures unhandled exceptions across HTTP, GraphQL, RPC, and WebSocket contexts
  • ✅ Tracing — auto-instruments middleware, guards, pipes, interceptors, filters, and route handlers

Recommend when detected:

  • ✅ Profiling — production apps where CPU performance matters (@sentry/profiling-node)
  • ✅ Logging — structured Sentry Logs + optional console capture
  • ✅ Crons — @nestjs/schedule, Bull, or BullMQ detected
  • ✅ Metrics — business KPIs or SLO tracking
  • ✅ AI Monitoring — OpenAI/Anthropic/LangChain/etc. detected (auto-instrumented, zero config)

Recommendation matrix:

FeatureRecommend when...Reference
Error MonitoringAlways — non-negotiable baseline${SKILL_ROOT}/references/error-monitoring.md
TracingAlways — NestJS lifecycle is auto-instrumented${SKILL_ROOT}/references/tracing.md
ProfilingProduction + CPU-sensitive workloads${SKILL_ROOT}/references/profiling.md
LoggingAlways; enhanced for structured log aggregation${SKILL_ROOT}/references/logging.md
MetricsCustom business KPIs or SLO tracking${SKILL_ROOT}/references/metrics.md
Crons@nestjs/schedule, Bull, or BullMQ detected${SKILL_ROOT}/references/crons.md
AI MonitoringOpenAI/Anthropic/LangChain/etc. detected${SKILL_ROOT}/references/ai-monitoring.md

Propose: "I recommend Error Monitoring + Tracing + Logging. Want Profiling, Crons, or AI Monitoring too?"


Phase 3: Guide

Install

bash
# Core SDK (always required — includes @sentry/node)
npm install @sentry/nestjs

# With profiling support (optional)
npm install @sentry/nestjs @sentry/profiling-node

⚠️ Do NOT install @sentry/node alongside @sentry/nestjs — @sentry/nestjs re-exports everything from @sentry/node. Installing both causes duplicate registration.

Three-File Setup (Required)

NestJS requires a specific three-file initialization pattern because the Sentry SDK must patch Node.js modules (via OpenTelemetry) before NestJS loads them.

Before creating new files, check Phase 1 results:

  • If instrument.ts already exists → modify it, don't create a new one.
  • If a config class drives Sentry.init() → read options from the config instead of hardcoding env vars.
  • If a Sentry DI wrapper exists → use it for runtime calls instead of importing @sentry/nestjs directly in services/controllers.
Step 1: Create src/instrument.ts
typescript
import * as Sentry from "@sentry/nestjs";
// Optional: add profiling
// import { nodeProfilingIntegration } from "@sentry/profiling-node";

Sentry.init({
  dsn: process.env.SENTRY_DSN,
  environment: process.env.SENTRY_ENVIRONMENT ?? "production",
  release: process.env.SENTRY_RELEASE,

  // Data collection (SDK ≥ 10.57.0 — replaces deprecated sendDefaultPii)
  dataCollection: {
    // To disable sending user data and HTTP bodies, uncomment the lines below. For more info visit:
    // https://docs.sentry.io/platforms/javascript/guides/nestjs/configuration/options/#dataCollection
    // userInfo: false,
    // httpBodies: [],
  },

  // Tracing — lower to 0.1–0.2 in high-traffic production
  tracesSampleRate: 1.0,

  // Profiling (requires @sentry/profiling-node)
  // integrations: [nodeProfilingIntegration()],
  // profileSessionSampleRate: 1.0,
  // profileLifecycle: "trace",

  // Structured logs (SDK ≥ 9.41.0)
  enableLogs: true,
});

Config-driven Sentry.init(): If Phase 1 found a typed config class (e.g. SentryConfig), read options from it instead of using raw process.env. This is common in NestJS apps that use @nestjs/config or custom config loaders:

typescript
import * as Sentry from "@sentry/nestjs";
import { loadConfiguration } from "./config";

const config = loadConfiguration();

Sentry.init({
  dsn: config.sentry.dsn,
  environment: config.sentry.environment ?? "production",
  release: config.sentry.release,
  dataCollection: config.sentry.dataCollection ?? {
    // To disable sending user data and HTTP bodies, uncomment the lines below. For more info visit:
    // https://docs.sentry.io/platforms/javascript/guides/nestjs/configuration/options/#dataCollection
    // userInfo: false,
    // httpBodies: [],
  },
  tracesSampleRate: config.sentry.tracesSampleRate ?? 1.0,
  profileSessionSampleRate: config.sentry.profilesSampleRate ?? 1.0,
  profileLifecycle: "trace",
  enableLogs: true,
});

When adding new SDK options (e.g. dataCollection, profileSessionSampleRate), add them to the config type so they can be configured per environment.

Step 2: Import instrument.ts FIRST in src/main.ts
typescript
// instrument.ts MUST be the very first import — before NestJS or any other module
import "./instrument";

import { NestFactory } from "@nestjs/core";
import { AppModule } from "./app.module";

async function bootstrap() {
  const app = await NestFactory.create(AppModule);

  // Enable graceful shutdown — flushes Sentry events on SIGTERM/SIGINT
  app.enableShutdownHooks();

  await app.listen(3000);
}
bootstrap();

Why first? OpenTelemetry must monkey-patch http, express, database drivers, and other modules before they load. Any module that loads before instrument.ts will not be auto-instrumented.

Step 3: Register SentryModule and SentryGlobalFilter in src/app.module.ts
typescript
import { Module } from "@nestjs/common";
import { APP_FILTER } from "@nestjs/core";
import { SentryModule, SentryGlobalFilter } from "@sentry/nestjs/setup";
import { AppController } from "./app.controller";
import { AppService } from "./app.service";

@Module({
  imports: [
    SentryModule.forRoot(), // Registers SentryTracingInterceptor globally
  ],
  controllers: [AppController],
  providers: [
    AppService,
    {
      provide: APP_FILTER,
      useClass: SentryGlobalFilter, // Captures all unhandled exceptions
    },
  ],
})
export class AppModule {}

What each piece does:

  • SentryModule.forRoot() — registers SentryTracingInterceptor as a global APP_INTERCEPTOR, enabling HTTP transaction naming
  • SentryGlobalFilter — extends BaseExceptionFilter; captures exceptions across HTTP, GraphQL (rethrows HttpException without reporting), and RPC contexts

⚠️ Do NOT register SentryModule.forRoot() twice. If Phase 1 found it already imported in a shared library module (e.g. a SentryProxyModule or AnalyticsModule), do not add it again in AppModule. Duplicate registration causes every span to be intercepted twice, bloating trace data.

⚠️ Two entrypoints, different imports:

  • @sentry/nestjs → SDK init, capture APIs, decorators (SentryTraced, SentryCron, SentryExceptionCaptured)
  • @sentry/nestjs/setup → NestJS DI constructs (SentryModule, SentryGlobalFilter)

Never import SentryModule from @sentry/nestjs (main entrypoint) — it loads @nestjs/common before OpenTelemetry patches it, breaking auto-instrumentation.

ESM Setup (Node ≥ 18.19.0)

For ESM applications, use --import instead of a file import:

javascript
// instrument.mjs
import * as Sentry from "@sentry/nestjs";

Sentry.init({
  dsn: process.env.SENTRY_DSN,
  tracesSampleRate: 1.0,
});
json
// package.json
{
  "scripts": {
    "start": "node --import ./instrument.mjs -r ts-node/register src/main.ts"
  }
}

Or via environment:

bash
NODE_OPTIONS="--import ./instrument.mjs" npm run start

Exception Filter Options

Choose the approach that fits your existing architecture:

Option A: No existing global filter — use SentryGlobalFilter (recommended)

Already covered in Step 3 above. This is the simplest option.

Option B: Existing custom global filter — add @SentryExceptionCaptured() decorator
typescript
import { Catch, ExceptionFilter, ArgumentsHost } from "@nestjs/common";
import { SentryExceptionCaptured } from "@sentry/nestjs";

@Catch()
export class YourExistingFilter implements ExceptionFilter {
  @SentryExceptionCaptured() // Wraps catch() to auto-report exceptions
  catch(exception: unknown, host: ArgumentsHost): void {
    // Your existing error handling continues unchanged
  }
}
Option C: Specific exception type — manual capture
typescript
import { ArgumentsHost, Catch } from "@nestjs/common";
import { BaseExceptionFilter } from "@nestjs/core";
import * as Sentry from "@sentry/nestjs";

@Catch(ExampleException)
export class ExampleExceptionFilter extends BaseExceptionFilter {
  catch(exception: ExampleException, host: ArgumentsHost) {
    Sentry.captureException(exception);
    super.catch(exception, host);
  }
}
Option D: Microservice RPC exceptions
typescript
import { Catch, RpcExceptionFilter, ArgumentsHost } from "@nestjs/common";
import { Observable, throwError } from "rxjs";
import { RpcException } from "@nestjs/microservices";
import * as Sentry from "@sentry/nestjs";

@Catch(RpcException)
export class SentryRpcFilter implements RpcExceptionFilter<RpcException> {
  catch(exception: RpcException, host: ArgumentsHost): Observable<any> {
    Sentry.captureException(exception);
    return throwError(() => exception.getError());
  }
}

Decorators

@SentryTraced(op?) — Instrument any method
typescript
import { Injectable } from "@nestjs/common";
import { SentryTraced } from "@sentry/nestjs";

@Injectable()
export class OrderService {
  @SentryTraced("order.process")
  async processOrder(orderId: string): Promise<void> {
    // Automatically wrapped in a Sentry span
  }

  @SentryTraced()  // Defaults to op: "function"
  async fetchInventory() { ... }
}
@SentryCron(slug, config?) — Monitor scheduled jobs
typescript
import { Injectable } from "@nestjs/common";
import { Cron } from "@nestjs/schedule";
import { SentryCron } from "@sentry/nestjs";

@Injectable()
export class ReportService {
  @Cron("0 * * * *")
  @SentryCron("hourly-report", {
    // @SentryCron must come AFTER @Cron
    schedule: { type: "crontab", value: "0 * * * *" },
    checkinMargin: 2, // Minutes before marking missed
    maxRuntime: 10, // Max runtime in minutes
    timezone: "UTC",
  })
  async generateReport() {
    // Check-in sent automatically on start/success/failure
  }
}
Background Job Scope Isolation

Background jobs share the default isolation scope — wrap with Sentry.withIsolationScope() to prevent cross-contamination:

typescript
import * as Sentry from "@sentry/nestjs";
import { Injectable } from "@nestjs/common";
import { Cron, CronExpression } from "@nestjs/schedule";

@Injectable()
export class JobService {
  @Cron(CronExpression.EVERY_HOUR)
  handleCron() {
    Sentry.withIsolationScope(() => {
      Sentry.setTag("job", "hourly-sync");
      this.doWork();
    });
  }
}

Apply withIsolationScope to: @Cron(), @Interval(), @OnEvent(), @Processor(), and any code outside the request lifecycle.

Working with Sentry DI Wrappers

Some NestJS projects wrap Sentry behind a dependency injection token (e.g. SENTRY_PROXY_TOKEN) for testability and decoupling. If Phase 1 detected this pattern, use the injected service for all runtime Sentry calls — do not import @sentry/nestjs directly in controllers, services, or processors.

typescript
import { Controller, Inject } from "@nestjs/common";
import { SENTRY_PROXY_TOKEN, type SentryProxyService } from "./sentry-proxy";

@Controller("orders")
export class OrderController {
  constructor(
    @Inject(SENTRY_PROXY_TOKEN) private readonly sentry: SentryProxyService,
    private readonly orderService: OrderService,
  ) {}

  @Post()
  async createOrder(@Body() dto: CreateOrderDto) {
    return this.sentry.startSpan(
      { name: "createOrder", op: "http" },
      async () => this.orderService.create(dto),
    );
  }
}

Where direct @sentry/nestjs import is still correct:

  • instrument.ts — always uses import * as Sentry from "@sentry/nestjs" for Sentry.init()
  • Standalone scripts and exception filters that run outside the DI container

Verification

Add a test endpoint to confirm events reach Sentry:

typescript
import { Controller, Get } from "@nestjs/common";
import * as Sentry from "@sentry/nestjs";

@Controller()
export class DebugController {
  @Get("/debug-sentry")
  triggerError() {
    throw new Error("My first Sentry error from NestJS!");
  }

  @Get("/debug-sentry-span")
  triggerSpan() {
    return Sentry.startSpan({ op: "test", name: "NestJS Test Span" }, () => {
      return { status: "span created" };
    });
  }
}

Hit GET /debug-sentry and check the Sentry Issues dashboard within seconds.

For Each Agreed Feature

Walk through features one at a time. Load the reference, follow its steps, verify before moving on:

FeatureReference fileLoad when...
Error Monitoring${SKILL_ROOT}/references/error-monitoring.mdAlways (baseline)
Tracing${SKILL_ROOT}/references/tracing.mdAlways (NestJS routes are auto-traced)
Profiling${SKILL_ROOT}/references/profiling.mdCPU-intensive production apps
Logging${SKILL_ROOT}/references/logging.mdStructured log aggregation needed
Metrics${SKILL_ROOT}/references/metrics.mdCustom KPIs / SLO tracking
Crons${SKILL_ROOT}/references/crons.mdScheduled jobs or task queues
AI Monitoring${SKILL_ROOT}/references/ai-monitoring.mdOpenAI/Anthropic/LangChain detected

For each feature: Read ${SKILL_ROOT}/references/<feature>.md, follow steps exactly, verify it works.


Configuration Reference

Key Sentry.init() Options

OptionTypeDefaultPurpose
dsnstring—SDK disabled if empty; env: SENTRY_DSN
environmentstring"production"e.g., "staging"; env: SENTRY_ENVIRONMENT
releasestring—e.g., "myapp@1.0.0"; env: SENTRY_RELEASE
dataCollectionobjectSee belowControls what data the SDK collects (SDK ≥ 10.57.0)
dataCollection.userInfobooleantrueInclude IP addresses and user context
dataCollection.httpHeadersobjectSee belowCapture HTTP headers for requests/responses
dataCollection.cookiesboolean|objecttrueCapture cookies; use {allow: [...]} or {deny: [...]} for filtering
dataCollection.queryParamsboolean|objecttrueCapture URL query parameters; use {allow: [...]} or {deny: [...]} for filtering
dataCollection.genAIobjectSee belowControl AI input/output recording
sendDefaultPiibooleanfalseDeprecated — use dataCollection.userInfo instead
tracesSampleRatenumber—Transaction sample rate; undefined disables tracing
tracesSamplerfunction—Custom per-transaction sampling (overrides rate)
tracePropagationTargetsArray<string|RegExp>—URLs to propagate sentry-trace/baggage headers to
profileSessionSampleRatenumber—Continuous profiling session rate (SDK ≥ 10.27.0)
profileLifecycle"trace"|"manual""trace""trace" = auto-start profiler with spans; "manual" = call startProfiler()/stopProfiler()
enableLogsbooleanfalseSend structured logs to Sentry (SDK ≥ 9.41.0)
ignoreErrorsArray<string|RegExp>[]Error message patterns to suppress
ignoreTransactionsArray<string|RegExp>[]Transaction name patterns to suppress
beforeSendfunction—Hook to mutate or drop error events
beforeSendTransactionfunction—Hook to mutate or drop transaction events
beforeSendLogfunction—Hook to mutate or drop log events
debugbooleanfalseVerbose SDK debug output
maxBreadcrumbsnumber100Max breadcrumbs per event

dataCollection defaults:

  • httpHeaders: { request: true, response: true }
  • httpBodies: ["incomingRequest", "outgoingRequest", "incomingResponse", "outgoingResponse"]
  • userInfo: true
  • genAI: { inputs: true, outputs: true }

Environment Variables

VariableMaps toNotes
SENTRY_DSNdsnUsed if dsn not passed to init()
SENTRY_RELEASEreleaseAlso auto-detected from git SHA, Heroku, CircleCI
SENTRY_ENVIRONMENTenvironmentFalls back to "production"
SENTRY_AUTH_TOKENCLI/source mapsFor npx @sentry/wizard@latest -i sourcemaps
SENTRY_ORGCLI/source mapsOrganization slug
SENTRY_PROJECTCLI/source mapsProject slug

Auto-Enabled Integrations

These integrations activate automatically when their packages are detected — no integrations: [...] needed:

Auto-enabledNotes
httpIntegrationOutgoing HTTP calls via http/https/fetch
expressIntegrationExpress adapter (default NestJS)
nestIntegrationNestJS lifecycle (middleware, guards, pipes, interceptors, handlers)
onUncaughtExceptionIntegrationUncaught exceptions
onUnhandledRejectionIntegrationUnhandled promise rejections
openAIIntegrationOpenAI SDK (when installed)
anthropicAIIntegrationAnthropic SDK (when installed)
langchainIntegrationLangChain (when installed)
graphqlIntegrationGraphQL (when graphql package present)
postgresIntegrationpg driver
mysqlIntegrationmysql / mysql2
mongoIntegrationMongoDB / Mongoose
redisIntegrationioredis / redis

Integrations Requiring Manual Setup

IntegrationWhen to addCode
nodeProfilingIntegrationProfiling desiredimport { nodeProfilingIntegration } from "@sentry/profiling-node"
prismaIntegrationPrisma ORM usedintegrations: [Sentry.prismaIntegration()]
consoleLoggingIntegrationCapture console outputintegrations: [Sentry.consoleLoggingIntegration()]
localVariablesIntegrationCapture local var values in errorsintegrations: [Sentry.localVariablesIntegration()]

Verification

Test that Sentry is receiving events:

typescript
// Add a test endpoint (remove before production)
@Get("/debug-sentry")
getError() {
  throw new Error("My first Sentry error!");
}

Or send a test message without crashing:

typescript
import * as Sentry from "@sentry/nestjs";
Sentry.captureMessage("NestJS Sentry SDK test");

If nothing appears:

  1. Set debug: true in Sentry.init() — prints SDK internals to stdout
  2. Verify SENTRY_DSN env var is set in the running process
  3. Check that import "./instrument" is the first line in main.ts
  4. Confirm SentryModule.forRoot() is imported in AppModule
  5. Check DSN format: https://<key>@o<org>.ingest.sentry.io/<project>

Phase 4: Cross-Link

After completing NestJS setup, check for a companion frontend missing Sentry:

bash
ls -d ../frontend ../web ../client ../ui 2>/dev/null
cat ../frontend/package.json ../web/package.json 2>/dev/null \
  | grep -E '"react"|"svelte"|"vue"|"next"|"nuxt"'

If a frontend exists without Sentry, suggest the matching skill:

Frontend detectedSuggest skill
Next.jssentry-nextjs-sdk
Reactsentry-react-sdk
Svelte / SvelteKitsentry-svelte-sdk
Vue / NuxtUse @sentry/vue — see docs.sentry.io/platforms/javascript/guides/vue/
React Native / Exposentry-react-native-sdk

Troubleshooting

IssueSolution
Events not appearingSet debug: true, verify SENTRY_DSN, check instrument.ts is imported first
Malformed DSN errorFormat: https://<key>@o<org>.ingest.sentry.io/<project>
Exceptions not capturedEnsure SentryGlobalFilter is registered via APP_FILTER in AppModule
Auto-instrumentation not workinginstrument.ts must be the first import in main.ts — before all NestJS imports
Profiling not startingRequires tracesSampleRate > 0 + profileSessionSampleRate > 0 + @sentry/profiling-node installed
enableLogs not workingRequires SDK ≥ 9.41.0
No traces appearingVerify tracesSampleRate is set (not undefined)
Too many transactionsLower tracesSampleRate or use tracesSampler to drop health checks
Fastify + GraphQL issuesKnown edge cases — see GitHub #13388; prefer Express for GraphQL
Background job events mixedWrap job body in Sentry.withIsolationScope(() => { ... })
Prisma spans missingAdd integrations: [Sentry.prismaIntegration()] to Sentry.init()
ESM syntax errorsSet registerEsmLoaderHooks: false (disables ESM hooks; also disables auto-instrumentation for ESM modules)
SentryModule breaks instrumentationMust import from @sentry/nestjs/setup, never from @sentry/nestjs
RPC exceptions not capturedAdd dedicated SentryRpcExceptionFilter (see Option D in exception filter section)
WebSocket exceptions not capturedUse @SentryExceptionCaptured() on gateway handleConnection/handleDisconnect
@SentryCron not triggeringDecorator order matters — @SentryCron MUST come after @Cron
TypeScript path alias issuesEnsure tsconfig.json paths are configured so instrument resolves from main.ts location
import * as Sentry ESLint errorMany projects ban namespace imports. Use named imports (import { startSpan, captureException } from "@sentry/nestjs") or use the project's DI proxy instead
profilesSampleRate vs profileSessionSampleRateprofilesSampleRate is deprecated in SDK 10.x. Use profileSessionSampleRate + profileLifecycle: "trace" instead
Duplicate spans on every requestSentryModule.forRoot() registered in multiple modules. Ensure it's only called once — check shared/library modules
Config property not recognized in instrument.tsWhen using a typed config class, new SDK options must be added to the config type definition and the project rebuilt before TypeScript recognizes them

Version Requirements

FeatureMinimum SDK Version
@sentry/nestjs package8.0.0
@SentryTraced decorator8.15.0
@SentryCron decorator8.16.0
Event Emitter auto-instrumentation8.39.0
SentryGlobalFilter (unified)8.40.0
Sentry.logger API (enableLogs)9.41.0
profileSessionSampleRate10.27.0
Node.js requirement≥ 18
Node.js for ESM --import≥ 18.19.0
NestJS compatibility8.x – 11.x

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sentry Nestjs Sdk AI skill do?

Full Sentry SDK setup for NestJS. Use when asked to "add Sentry to NestJS", "install @sentry/nestjs", "setup Sentry in NestJS", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for NestJS applications. Supports Express and Fastify adapters, GraphQL, microservices, WebSockets, and background jobs.

Why use Sentry Nestjs Sdk on TypingMind?

Because you install it once and use it with any model. Sentry Nestjs Sdk is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sentry Nestjs Sdk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getsentry/sentry-for-ai/tree/main/skills-legacy/sentry-nestjs-sdk. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sentry Nestjs Sdk?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sentry Nestjs Sdk?

As many as you like. As long as a model supports skills, you can use Sentry Nestjs Sdk with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sentry Nestjs Sdk AI skill free?

Yes. It is published on GitHub by getsentry under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇