fix: Modernize server-ai examples to current SDK surface

- openai, openai-observability, bedrock, vercel-ai, direct-judge,
  agent-graph-traversal examples
- Drop unnecessary aiConfig.createTracker!() non-null assertions
  (the field is non-optional in the type)
- Replace removed OpenAIProvider.getAIMetricsFromResponse with the bare
  export in openai-observability README
- Update direct-judge dangling comment to use createTracker() factory
- Fix agent-graph-traversal README example: trackSuccess() takes no
  args; tokens go through trackTokens({ total, input, output })

Refs AIC-2383

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

Author: jsonbailey

packages/sdk/server-ai/examples/agent-graph-traversal/README.md

@@ -100,7 +100,8 @@ inside your traversal callback via `node.getConfig().createTracker?.()`.
 graph.traverse((node, executionContext) => {
   const nodeTracker = node.getConfig().createTracker?.();
   // ... invoke the node's agent ...
-  nodeTracker?.trackSuccess({ totalTokens: 120, inputTokens: 80, outputTokens: 40 });
+  nodeTracker?.trackTokens({ total: 120, input: 80, output: 40 });
+  nodeTracker?.trackSuccess();
   return result;
 });
 ```

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

@@ -67,7 +67,7 @@ async function main() {
     process.exit(0);
   }
 
-  const tracker = aiConfig.createTracker!();
+  const tracker = aiConfig.createTracker();
   const completion = tracker.trackBedrockConverseMetrics(
     await awsClient.send(
       new ConverseCommand({

packages/sdk/server-ai/examples/direct-judge/src/index.ts

@@ -69,7 +69,7 @@ async function main() {
 
     // Track the judge result on the tracker for the aiConfig you are evaluating.
     // Example:
-    // aiConfig.tracker.trackJudgeResult(judgeResult);
+    // aiConfig.createTracker().trackJudgeResult(judgeResult);
 
     console.log('Judge Result:', judgeResult);
 

packages/sdk/server-ai/examples/openai-observability/README.md

@@ -8,11 +8,11 @@ This example shows how to use the LaunchDarkly observability plugin when calling
 2. **Get the AI Config** via `completionConfig()` — this returns the model, messages, and parameters configured in LaunchDarkly, along with a `tracker` for reporting metrics.
 3. **Call your provider directly** and wrap it with the tracker — the tracker records latency, token usage, and success/error status.
 
-The tracker provides several methods depending on your provider. This example uses `trackMetricsOf` with the LaunchDarkly OpenAI provider's `getAIMetricsFromResponse` extractor:
+The tracker provides several methods depending on your provider. This example uses `trackMetricsOf` with the `getAIMetricsFromResponse` extractor exported by `@launchdarkly/server-sdk-ai-openai`:
 
 | Method | Provider |
 |--------|----------|
-| `tracker.trackMetricsOf(OpenAIProvider.getAIMetricsFromResponse, fn)` | OpenAI (recommended) |
+| `tracker.trackMetricsOf(getAIMetricsFromResponse, fn)` | OpenAI (recommended) |
 | `tracker.trackBedrockConverseMetrics(response)` | AWS Bedrock |
 | `tracker.trackMetricsOf(extractor, fn)` | Any provider (custom extractor) |
 

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

@@ -76,7 +76,7 @@ async function main() {
 
   try {
     // ── 4. Call OpenAI and track metrics with the provider's extractor ──
-    const tracker = aiConfig.createTracker!();
+    const tracker = aiConfig.createTracker();
     const completion = await tracker.trackMetricsOf(getAIMetricsFromResponse, () =>
       openai.chat.completions.create({
         messages: aiConfig.messages || [],

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

@@ -65,7 +65,7 @@ async function main() {
     process.exit(0);
   }
 
-  const tracker = aiConfig.createTracker!();
+  const tracker = aiConfig.createTracker();
   const completion = await tracker.trackMetricsOf(
     getAIMetricsFromResponse,
     async () =>

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

@@ -77,7 +77,7 @@ async function main() {
 
     const messages = convertMessagesToVercel([...(aiConfig.messages || []), userMessage]);
 
-    const tracker = aiConfig.createTracker!();
+    const tracker = aiConfig.createTracker();
     const result = await tracker.trackMetricsOf(getAIMetricsFromResponse, () =>
       generateText({ ...parameters, model, messages }),
     );
@@ -98,7 +98,7 @@ async function main() {
 
     const messages = convertMessagesToVercel([...(aiConfig.messages || []), userMessage]);
 
-    const streamTracker = aiConfig.createTracker!();
+    const streamTracker = aiConfig.createTracker();
     const streamResult = streamTracker.trackStreamMetricsOf(
       () => streamText({ ...parameters, model, messages }),
       getAIMetricsFromStream,