feat(node): Add @vercel/ai instrumentation

packages/node/src/integrations/tracing/index.ts

@@ -18,6 +18,7 @@ import { instrumentMysql2, mysql2Integration } from './mysql2';
 import { instrumentNest, nestIntegration } from './nest/nest';
 import { instrumentPostgres, postgresIntegration } from './postgres';
 import { instrumentRedis, redisIntegration } from './redis';
+import { vercelAiIntegration } from './vercelai';
 
 /**
  * With OTEL, all performance integrations will be added, as OTEL only initializes them when the patched package is actually required.
@@ -45,6 +46,7 @@ export function getAutoPerformanceIntegrations(): Integration[] {
     kafkaIntegration(),
     amqplibIntegration(),
     lruMemoizerIntegration(),
+    vercelAiIntegration(),
   ];
 }
 

packages/node/src/integrations/tracing/vercelai.ts

@@ -0,0 +1,67 @@
+import { SEMANTIC_ATTRIBUTE_SENTRY_OP, defineIntegration, spanToJSON } from '@sentry/core';
+import type { IntegrationFn } from '@sentry/types';
+
+import { addOriginToSpan } from '../../utils/addOriginToSpan';
+
+const INTEGRATION_NAME = 'VercelAi';
+
+const _vercelAiIntegration = (() => {
+  return {
+    name: INTEGRATION_NAME,
+    setupOnce() {
+      // TODO: Vercel Instrumentation.
+    },
+
+    setup(client) {
+      // TODO: Only run if @vercel/ai is installed.
+      client.on('spanStart', span => {
+        const { data: attributes, description: name } = spanToJSON(span);
+
+        if (!attributes || !name) {
+          return;
+        }
+
+        // https://sdk.vercel.ai/docs/ai-sdk-core/telemetry#basic-llm-span-information
+        if (attributes['ai.model.id'] && attributes['ai.model.provider']) {
+          addOriginToSpan(span, 'auto.vercel.ai');
+
+          const aiOperation = name.replace('ai.', '');
+          if (aiOperation.includes('embed')) {
+            span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'ai.embeddings');
+          } else {
+            span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'ai.run');
+          }
+
+          if (attributes['ai.prompt']) {
+            span.setAttribute('ai.input_messages', attributes['ai.prompt']);
+          }
+          if (attributes['ai.usage.completionTokens'] != undefined) {
+            span.setAttribute('ai.completion_tokens.used', attributes['ai.usage.completionTokens']);
+          }
+          if (attributes['ai.usage.promptTokens'] != undefined) {
+            span.setAttribute('ai.prompt_tokens.used', attributes['ai.usage.promptTokens']);
+          }
+          if (
+            attributes['ai.usage.completionTokens'] != undefined &&
+            attributes['ai.usage.promptTokens'] != undefined
+          ) {
+            span.setAttribute(
+              'ai.tokens.used',
+              attributes['ai.usage.completionTokens'] + attributes['ai.usage.promptTokens'],
+            );
+          }
+          if (attributes['ai.model.id']) {
+            span.setAttribute('ai.model_id', attributes['ai.model.id']);
+          }
+
+          span.setAttribute('ai.streaming', name.includes('stream'));
+        }
+      });
+    },
+  };
+}) satisfies IntegrationFn;
+
+/**
+ * Integration for @vercel/ai
+ */
+export const vercelAiIntegration = defineIntegration(_vercelAiIntegration);