chore: Update VercelAI example to use Vercel AI Provider methods

packages/sdk/server-ai/examples/vercel-ai/package.json

@@ -21,9 +21,10 @@
   "author": "LaunchDarkly",
   "license": "Apache-2.0",
   "dependencies": {
-    "@ai-sdk/openai": "2.0.30",
-    "@launchdarkly/node-server-sdk": "9.7.1",
-    "@launchdarkly/server-sdk-ai": "0.12.3",
+    "@ai-sdk/openai": "^2.0.30",
+    "@launchdarkly/node-server-sdk": "^9.7.1",
+    "@launchdarkly/server-sdk-ai": "^0.12.3",
+    "@launchdarkly/server-sdk-ai-vercel": "^0.1.2",
     "ai": "5.0.0",
     "zod": "^3.23.8"
   },

packages/sdk/server-ai/examples/vercel-ai/src/index.ts

@@ -4,6 +4,7 @@ import { generateText, streamText } from 'ai';
 
 import { init, type LDClient, type LDContext } from '@launchdarkly/node-server-sdk';
 import { initAi } from '@launchdarkly/server-sdk-ai';
+import { VercelProvider } from '@launchdarkly/server-sdk-ai-vercel';
 
 // Environment variables
 const sdkKey = process.env.LAUNCHDARKLY_SDK_KEY ?? '';
@@ -41,31 +42,59 @@ async function main() {
   // Get AI configuration from LaunchDarkly
   const aiConfig = await aiClient.config(aiConfigKey, context, { model: { name: 'gpt-4' } });
 
-  if (!aiConfig.enabled) {
+  if (!aiConfig.enabled || !aiConfig.tracker) {
     console.log('*** AI configuration is not enabled');
     process.exit(0);
   }
 
   console.log('Using model:', aiConfig.model?.name);
 
-  // Example of using generateText (non-streaming)
-  console.log('\n*** Generating text:');
   try {
     const userMessage = {
       role: 'user' as const,
       content: 'What can you help me with?',
     };
 
-    const result = await aiConfig.tracker.trackVercelAISDKGenerateTextMetrics(() =>
-      generateText(aiConfig.toVercelAISDK(openai, { nonInterpolatedMessages: [userMessage] })),
+    // Example of using generateText (non-streaming)
+    console.log('\n*** Generating text:');
+
+    // Convert config to Vercel AI SDK format
+    const vercelConfig = VercelProvider.toVercelAISDK(aiConfig, openai, {
+      nonInterpolatedMessages: [userMessage],
+    });
+
+    // Call the model and track metrics for the ai config
+    const result = await aiConfig.tracker.trackMetricsOf(
+      VercelProvider.getAIMetricsFromResponse,
+      () => generateText(vercelConfig),
     );
+
     console.log('Response:', result.text);
+  } catch (err) {
+    console.error('Error:', err);
+  }
+
+  // Example 2: Using streamText with trackStreamMetricsOf (streaming)
+  try {
+    const userMessage = {
+      role: 'user' as const,
+      content: 'Count from 1 to 5.',
+    };
 
-    process.stdout.write('Streaming Response: ');
-    const streamResult = aiConfig.tracker.trackVercelAISDKStreamTextMetrics(() =>
-      streamText(aiConfig.toVercelAISDK(openai, { nonInterpolatedMessages: [userMessage] })),
+    // Example of using generateText (non-streaming)
+    console.log('\n*** Streaming text:');
+    // Convert config to Vercel AI SDK format
+    const vercelConfig = VercelProvider.toVercelAISDK(aiConfig, openai, {
+      nonInterpolatedMessages: [userMessage],
+    });
+
+    // Stream is returned immediately (synchronously), metrics tracked in background
+    const streamResult = aiConfig.tracker.trackStreamMetricsOf(
+      () => streamText(vercelConfig),
+      VercelProvider.getAIMetricsFromStream,
     );
 
+    // Consume the stream immediately - no await needed before this!
     // eslint-disable-next-line no-restricted-syntax
     for await (const textPart of streamResult.textStream) {
       process.stdout.write(textPart);