feat(node): Add first-party Mastra integration #23823
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,16 @@ | ||
| import * as Sentry from '@sentry/node'; | ||
| import { loggingTransport } from '@sentry-internal/node-integration-tests'; | ||
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| Sentry.init({ | ||
| traceLifecycle: 'static', | ||
| dsn: 'https://public@dsn.ingest.sentry.io/1337', | ||
| release: '1.0', | ||
| tracesSampleRate: 1.0, | ||
| dataCollection: { genAI: { inputs: false, outputs: false } }, | ||
| integrations: [Sentry.mastraIntegration({ bootstrapObservability: false })], | ||
| transport: loggingTransport, | ||
| beforeSendTransaction: event => { | ||
| // Drop the in-process mock provider's own transactions. | ||
| return event.transaction?.includes('/v1/chat/completions') ? null : event; | ||
| }, | ||
| }); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| import * as Sentry from '@sentry/node'; | ||
| import { loggingTransport } from '@sentry-internal/node-integration-tests'; | ||
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| Sentry.init({ | ||
| traceLifecycle: 'static', | ||
| dsn: 'https://public@dsn.ingest.sentry.io/1337', | ||
| release: '1.0', | ||
| tracesSampleRate: 1.0, | ||
| dataCollection: { genAI: { inputs: true, outputs: true } }, | ||
| transport: loggingTransport, | ||
| beforeSendTransaction: event => { | ||
| // Drop the in-process mock provider's own transactions. | ||
| return event.transaction?.includes('/v1/chat/completions') ? null : event; | ||
| }, | ||
| }); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,15 @@ | ||
| import * as Sentry from '@sentry/node'; | ||
| import { loggingTransport } from '@sentry-internal/node-integration-tests'; | ||
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| Sentry.init({ | ||
| traceLifecycle: 'static', | ||
| dsn: 'https://public@dsn.ingest.sentry.io/1337', | ||
| release: '1.0', | ||
| tracesSampleRate: 1.0, | ||
| dataCollection: { genAI: { inputs: false, outputs: false } }, | ||
| transport: loggingTransport, | ||
| beforeSendTransaction: event => { | ||
| // Drop the in-process mock provider's own transactions. | ||
| return event.transaction?.includes('/v1/chat/completions') ? null : event; | ||
| }, | ||
| }); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,71 @@ | ||
| import express from 'express'; | ||
| import * as Sentry from '@sentry/node'; | ||
| import { Mastra } from '@mastra/core'; | ||
| import { Agent } from '@mastra/core/agent'; | ||
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| // Inlined OpenAI-compatible mock: the ESM/CJS runner copies only this file into its temp dir. | ||
| function startMockProvider(responses) { | ||
| const app = express(); | ||
| app.use(express.json()); | ||
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| let call = 0; | ||
| app.post('/v1/chat/completions', (req, res) => { | ||
| const response = responses[Math.min(call, responses.length - 1)]; | ||
| call++; | ||
| res.json({ | ||
| id: response.id, | ||
| object: 'chat.completion', | ||
| created: 1, | ||
| model: req.body.model, | ||
| choices: [ | ||
| { | ||
| index: 0, | ||
| finish_reason: response.toolCalls ? 'tool_calls' : 'stop', | ||
| message: { | ||
| role: 'assistant', | ||
| content: response.content ?? null, | ||
| ...(response.toolCalls ? { tool_calls: response.toolCalls } : {}), | ||
| }, | ||
| }, | ||
| ], | ||
| usage: response.usage, | ||
| }); | ||
| }); | ||
|
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| const server = app.listen(0); | ||
| return { | ||
| url: `http://localhost:${server.address().port}/v1`, | ||
| close: () => server.close(), | ||
| }; | ||
| } | ||
|
|
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| const provider = startMockProvider([ | ||
| { | ||
| id: 'chatcmpl-1', | ||
| content: 'It is 22C in Berlin.', | ||
| usage: { prompt_tokens: 12, completion_tokens: 7, total_tokens: 19 }, | ||
| }, | ||
| ]); | ||
|
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| async function run() { | ||
| const agent = new Agent({ | ||
| id: 'weather_agent', | ||
| name: 'weather_agent', | ||
| instructions: 'You report the weather.', | ||
| model: { id: 'openai/gpt-4o-mini', url: provider.url, apiKey: 'test' }, | ||
| }); | ||
|
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| const mastra = new Mastra({ | ||
| agents: { weather_agent: agent }, | ||
| logger: false, | ||
| }); | ||
|
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| await Sentry.startSpan({ op: 'function', name: 'mastra-test' }, async () => { | ||
| await mastra.getAgent('weather_agent').generate('What is the weather in Berlin?'); | ||
| }); | ||
|
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| await mastra.observability.shutdown(); | ||
| provider.close(); | ||
| } | ||
|
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| run(); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,85 @@ | ||
| import express from 'express'; | ||
| import * as Sentry from '@sentry/node'; | ||
| import { Mastra } from '@mastra/core'; | ||
| import { Agent } from '@mastra/core/agent'; | ||
| import { Observability } from '@mastra/observability'; | ||
|
|
||
| // Inlined OpenAI-compatible mock: the ESM/CJS runner copies only this file into its temp dir. | ||
| function startMockProvider(responses) { | ||
| const app = express(); | ||
| app.use(express.json()); | ||
|
|
||
| let call = 0; | ||
| app.post('/v1/chat/completions', (req, res) => { | ||
| const response = responses[Math.min(call, responses.length - 1)]; | ||
| call++; | ||
| res.json({ | ||
| id: response.id, | ||
| object: 'chat.completion', | ||
| created: 1, | ||
| model: req.body.model, | ||
| choices: [ | ||
| { | ||
| index: 0, | ||
| finish_reason: response.toolCalls ? 'tool_calls' : 'stop', | ||
| message: { | ||
| role: 'assistant', | ||
| content: response.content ?? null, | ||
| ...(response.toolCalls ? { tool_calls: response.toolCalls } : {}), | ||
| }, | ||
| }, | ||
| ], | ||
| usage: response.usage, | ||
| }); | ||
| }); | ||
|
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| const server = app.listen(0); | ||
| return { | ||
| url: `http://localhost:${server.address().port}/v1`, | ||
| close: () => server.close(), | ||
| }; | ||
| } | ||
|
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| const provider = startMockProvider([ | ||
| { | ||
| id: 'chatcmpl-1', | ||
| content: 'It is 22C in Berlin.', | ||
| usage: { prompt_tokens: 12, completion_tokens: 7, total_tokens: 19 }, | ||
| }, | ||
| ]); | ||
|
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| async function run() { | ||
| // Stub of `@mastra/sentry`: same `name: 'sentry'`, no brand. The real package calls `Sentry.init()`. | ||
| const communityExporter = { | ||
|
Collaborator
Author
There was a problem hiding this comment. The current @mastra/sentry exporter calls Sentry.init() and would replace the test client. The stub is only the name: 'sentry' signal so we hit the “community exporter already registered” path and still assert our spans go out |
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| name: 'sentry', | ||
| async exportTracingEvent() {}, | ||
| async flush() {}, | ||
| async shutdown() {}, | ||
| }; | ||
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| const agent = new Agent({ | ||
| id: 'weather_agent', | ||
| name: 'weather_agent', | ||
| instructions: 'You report the weather.', | ||
| model: { id: 'openai/gpt-4o-mini', url: provider.url, apiKey: 'test' }, | ||
| }); | ||
|
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| const mastra = new Mastra({ | ||
| agents: { weather_agent: agent }, | ||
| logger: false, | ||
| observability: new Observability({ | ||
| configs: { | ||
| default: { serviceName: 'mastra-test', exporters: [communityExporter] }, | ||
| }, | ||
| }), | ||
| }); | ||
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| await Sentry.startSpan({ op: 'function', name: 'mastra-test' }, async () => { | ||
| await mastra.getAgent('weather_agent').generate('What is the weather in Berlin?'); | ||
| }); | ||
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| await mastra.observability.shutdown(); | ||
| provider.close(); | ||
| } | ||
|
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||
| run(); | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,102 @@ | ||
| import express from 'express'; | ||
| import * as Sentry from '@sentry/node'; | ||
| import { z } from 'zod'; | ||
| import { Mastra } from '@mastra/core'; | ||
| import { Agent } from '@mastra/core/agent'; | ||
| import { createTool } from '@mastra/core/tools'; | ||
| import { Observability } from '@mastra/observability'; | ||
| import { SentryMastraExporter } from '@sentry/node'; | ||
|
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||
| // Two-step agent loop. Inlined OpenAI-compatible mock: the ESM/CJS runner copies only this file. | ||
| function startMockProvider(responses) { | ||
| const app = express(); | ||
| app.use(express.json()); | ||
|
|
||
| let call = 0; | ||
| app.post('/v1/chat/completions', (req, res) => { | ||
| const response = responses[Math.min(call, responses.length - 1)]; | ||
| call++; | ||
| res.json({ | ||
| id: response.id, | ||
| object: 'chat.completion', | ||
| created: 1, | ||
| model: req.body.model, | ||
| choices: [ | ||
| { | ||
| index: 0, | ||
| finish_reason: response.toolCalls ? 'tool_calls' : 'stop', | ||
| message: { | ||
| role: 'assistant', | ||
| content: response.content ?? null, | ||
| ...(response.toolCalls ? { tool_calls: response.toolCalls } : {}), | ||
| }, | ||
| }, | ||
| ], | ||
| usage: response.usage, | ||
| }); | ||
| }); | ||
|
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| const server = app.listen(0); | ||
| return { | ||
| url: `http://localhost:${server.address().port}/v1`, | ||
| close: () => server.close(), | ||
| }; | ||
| } | ||
|
|
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| const provider = startMockProvider([ | ||
| { | ||
| id: 'chatcmpl-tool', | ||
| toolCalls: [ | ||
| { | ||
| id: 'call_1', | ||
| type: 'function', | ||
| function: { name: 'get_weather', arguments: '{"city":"Berlin"}' }, | ||
| }, | ||
| ], | ||
| usage: { prompt_tokens: 20, completion_tokens: 5, total_tokens: 25 }, | ||
| }, | ||
| { | ||
| id: 'chatcmpl-final', | ||
| content: 'It is 22C in Berlin.', | ||
| usage: { prompt_tokens: 30, completion_tokens: 8, total_tokens: 38 }, | ||
| }, | ||
| ]); | ||
|
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| async function run() { | ||
| const agent = new Agent({ | ||
| id: 'weather_agent', | ||
| name: 'weather_agent', | ||
| instructions: 'Use the weather tool.', | ||
| model: { id: 'openai/gpt-4o-mini', url: provider.url, apiKey: 'test' }, | ||
| tools: { | ||
| get_weather: createTool({ | ||
| id: 'get_weather', | ||
| description: 'Get weather for a city', | ||
| inputSchema: z.object({ city: z.string() }), | ||
| execute: async ({ city }) => ({ temperature: 22, city }), | ||
| }), | ||
| }, | ||
| }); | ||
|
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| const mastra = new Mastra({ | ||
| agents: { weather_agent: agent }, | ||
| logger: false, | ||
| observability: new Observability({ | ||
| configs: { | ||
| default: { | ||
| serviceName: 'mastra-test', | ||
| exporters: [new SentryMastraExporter()], | ||
| }, | ||
| }, | ||
| }), | ||
| }); | ||
|
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| await Sentry.startSpan({ op: 'function', name: 'mastra-test' }, async () => { | ||
| await mastra.getAgent('weather_agent').generate('Weather in Berlin?', { maxSteps: 3 }); | ||
| }); | ||
|
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| await mastra.observability.shutdown(); | ||
| provider.close(); | ||
| } | ||
|
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||
| run(); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,46 @@ | ||
| import * as Sentry from '@sentry/node'; | ||
| import { z } from 'zod'; | ||
| import { Mastra } from '@mastra/core'; | ||
| import { createStep, createWorkflow } from '@mastra/core/workflows'; | ||
| import { Observability } from '@mastra/observability'; | ||
| import { SentryMastraExporter } from '@sentry/node'; | ||
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| // `workflow_run` maps to `gen_ai.invoke_agent`; `workflow_step` has no conventional op and is dropped. | ||
| const double = createStep({ | ||
| id: 'double', | ||
| inputSchema: z.object({ n: z.number() }), | ||
| outputSchema: z.object({ n: z.number() }), | ||
| execute: async ({ inputData }) => ({ n: inputData.n * 2 }), | ||
| }); | ||
|
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| const workflow = createWorkflow({ | ||
| id: 'math_workflow', | ||
| inputSchema: z.object({ n: z.number() }), | ||
| outputSchema: z.object({ n: z.number() }), | ||
| }) | ||
| .then(double) | ||
| .commit(); | ||
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| async function run() { | ||
| const mastra = new Mastra({ | ||
| workflows: { math_workflow: workflow }, | ||
| logger: false, | ||
| observability: new Observability({ | ||
| configs: { | ||
| default: { | ||
| serviceName: 'mastra-test', | ||
| exporters: [new SentryMastraExporter()], | ||
| }, | ||
| }, | ||
| }), | ||
| }); | ||
|
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| await Sentry.startSpan({ op: 'function', name: 'mastra-test' }, async () => { | ||
| const workflowRun = await mastra.getWorkflow('math_workflow').createRun(); | ||
| await workflowRun.start({ inputData: { n: 21 } }); | ||
| }); | ||
|
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| await mastra.observability.shutdown(); | ||
| } | ||
|
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| run(); |
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m: Can we enable it by default? It seems Mastra 1.63.2 has an engine of 22.13+: https://github.com/mastra-ai/mastra/blob/003e75745c5fd6a7af8464ece1d2930f81dd15af/packages/core/package.json#L987
Maybe it wouldn't matter as users can't use
1.63.2anyways when they're not on the supported version and we don't import it in our integration anyways. Just wanted to double checkThere was a problem hiding this comment.
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cross-link: https://github.com/getsentry/sentry-javascript/pull/23823/changes#r3913903654
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yah It's already on by default (in getTracingIntegrations(), same as the other AI integrations). we never import @mastra/core, and if registerExporter is missing we just skip