docs(cloudflare): Document Workers AI Jev tracing

docs/platforms/javascript/common/configuration/integrations/typesafe.mdx

@@ -21,7 +21,7 @@ This integration is enabled by default when <PlatformLink to="/tracing/">tracing
 
 The `typesafeIntegration` adds instrumentation for [`@typesafe-ai/sdk`](https://www.npmjs.com/package/@typesafe-ai/sdk) to capture <PlatformLink to="/agent-tracing/">agent tracing</PlatformLink> `gen_ai.evaluate` spans, recording model, token usage, latency, and (when enabled) evaluation inputs and answers.
 
-If you call Jev through Vercel AI SDK's `experimental_evaluate()`, see the [Vercel AI integration](/platforms/javascript/guides/node/configuration/integrations/vercelai/#trace-jev-evaluations) instead.
+If you call Jev through Vercel AI SDK's `experimental_evaluate()`, see the [Vercel AI integration](/platforms/javascript/guides/node/configuration/integrations/vercelai/#trace-jev-evaluations) instead. If you call Jev through Cloudflare Workers AI, see [Workers AI](/platforms/javascript/guides/cloudflare/agent-tracing/workers-ai/#trace-jev-evaluations).
 
 ```javascript
 Sentry.init({

docs/platforms/javascript/guides/cloudflare/agent-tracing/workers-ai.mdx

@@ -30,6 +30,39 @@ Only `env.AI.run` is instrumented. Streaming spans end when the stream is fully
 
 You can browse the full list of available models in the [Cloudflare Workers AI models directory](https://developers.cloudflare.com/ai/models/).
 
+## Trace Jev Evaluations
+
+<AvailableSince version="11.3.0" />
+
+Calls to TypeSafe's [Jev model](https://developers.cloudflare.com/ai/models/typesafe/jev/) (`typesafe/jev`) through `env.AI.run()` are traced automatically. No additional integration or setup is needed:
+
+```typescript
+export default {
+  async fetch(request, env) {
+    // env.AI is automatically instrumented
+    const result = await env.AI.run("typesafe/jev", {
+      state: "I was charged twice. Please refund the extra charge.",
+      questions: {
+        department: {
+          type: "choice",
+          instructions: "Which team should handle this?",
+          criteria: {
+            billing: "Charges and refunds",
+            technical: "Bugs and outages",
+          },
+        },
+      },
+    });
+
+    return new Response(JSON.stringify(result));
+  },
+} satisfies ExportedHandler<Env>;
+```
+
+Each call creates a `gen_ai.evaluate` span named `evaluate <model>`, with the response model (for example, `jev-1.13.0`), latency, and token usage. When recording is enabled, Sentry captures `state` and `questions` as input messages and `answers` as output messages, including probabilities and confidence values returned by Jev. These spans have the same attributes as spans from the [TypeSafe integration](/platforms/javascript/guides/node/configuration/integrations/typesafe/) on other runtimes.
+
+Evaluation state and answers can contain sensitive data. To stop recording them, set `genAI: { inputs: false, outputs: false }` in the <PlatformLink to="/configuration/options/#dataCollection">`dataCollection` option</PlatformLink>.
+
 ## Next Steps
 
 - Group multi-turn chats with <PlatformLink to="/agent-tracing/#tracking-conversations">`setConversationId()`</PlatformLink>