chore: Update examples to use createTracker() factory

Replace the removed tracker property with the new createTracker() factory
pattern in bedrock, openai, and vercel-ai examples.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: jsonbailey

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

@@ -62,12 +62,13 @@ async function main() {
     },
   );
 
-  if (!aiConfig.enabled || !aiConfig.tracker) {
+  if (!aiConfig.enabled) {
     console.log('*** AI configuration is not enabled');
     process.exit(0);
   }
 
-  const completion = aiConfig.tracker.trackBedrockConverseMetrics(
+  const tracker = aiConfig.createTracker!();
+  const completion = tracker.trackBedrockConverseMetrics(
     await awsClient.send(
       new ConverseCommand({
         modelId: aiConfig.model?.name ?? 'no-model',

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

@@ -60,20 +60,19 @@ async function main() {
     myVariable: 'My User Defined Variable',
   });
 
-  if (!aiConfig.enabled || !aiConfig.tracker) {
+  if (!aiConfig.enabled) {
     console.log('*** AI configuration is not enabled');
     process.exit(0);
   }
 
-  const completion = await aiConfig.tracker.trackMetricsOf(
-    OpenAIProvider.createAIMetrics,
-    async () =>
-      client.chat.completions.create({
-        messages: aiConfig.messages || [],
-        model: aiConfig.model?.name || 'gpt-4',
-        temperature: (aiConfig.model?.parameters?.temperature as number) ?? 0.5,
-        max_tokens: (aiConfig.model?.parameters?.maxTokens as number) ?? 4096,
-      }),
+  const tracker = aiConfig.createTracker!();
+  const completion = await tracker.trackMetricsOf(OpenAIProvider.createAIMetrics, async () =>
+    client.chat.completions.create({
+      messages: aiConfig.messages || [],
+      model: aiConfig.model?.name || 'gpt-4',
+      temperature: (aiConfig.model?.parameters?.temperature as number) ?? 0.5,
+      max_tokens: (aiConfig.model?.parameters?.maxTokens as number) ?? 4096,
+    }),
   );
 
   console.log('AI Response:', completion.choices[0]?.message.content);

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

@@ -52,7 +52,7 @@ async function main() {
   //   const aiConfig = await aiClient.completionConfig(aiConfigKey, context, defaultValue);
   const aiConfig = await aiClient.completionConfig(aiConfigKey, context);
 
-  if (!aiConfig.enabled || !aiConfig.tracker) {
+  if (!aiConfig.enabled) {
     console.log('*** AI configuration is not enabled');
     process.exit(0);
   }
@@ -74,9 +74,9 @@ async function main() {
     });
 
     // Call the model and track metrics for the ai config
-    const result = await aiConfig.tracker.trackMetricsOf(
-      VercelProvider.getAIMetricsFromResponse,
-      () => generateText({ ...vercelConfig, messages: vercelConfig.messages ?? [] }),
+    const tracker = aiConfig.createTracker!();
+    const result = await tracker.trackMetricsOf(VercelProvider.getAIMetricsFromResponse, () =>
+      generateText({ ...vercelConfig, messages: vercelConfig.messages ?? [] }),
     );
 
     console.log('Response:', result.text);
@@ -99,7 +99,8 @@ async function main() {
     });
 
     // Stream is returned immediately (synchronously), metrics tracked in background
-    const streamResult = aiConfig.tracker.trackStreamMetricsOf(
+    const streamTracker = aiConfig.createTracker!();
+    const streamResult = streamTracker.trackStreamMetricsOf(
       () => streamText({ ...vercelConfig, messages: vercelConfig.messages ?? [] }),
       VercelProvider.getAIMetricsFromStream,
     );