feat!: Remove bedrock-specific tracker method

Remove the trackBedrockConverseMetrics method from LDAIConfigTracker
along with the createBedrockTokenUsage helper and the BedrockTokenUsage
module. AWS Bedrock metric tracking will move to a dedicated
@launchdarkly/server-sdk-ai-bedrock provider package, matching the
pattern used by the OpenAI and LangChain providers.

The getting-started/bedrock/converse example is removed as well since
it depends on the API being deleted. A new example wired to the
provider package will land with that follow-up PR.

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

Author: jsonbailey

package.json

@@ -46,7 +46,6 @@
     "packages/sdk/browser/contract-tests/entity",
     "packages/sdk/server-ai",
     "packages/sdk/server-ai/examples/getting-started/openai/chat-completions",
-    "packages/sdk/server-ai/examples/getting-started/bedrock/converse",
     "packages/sdk/server-ai/examples/getting-started/vercel-ai/generate-text",
     "packages/sdk/server-ai/examples/features/create-model",
     "packages/sdk/server-ai/examples/features/create-agent",

packages/sdk/server-ai/__tests__/LDAIConfigTrackerImpl.test.ts

@@ -167,112 +167,6 @@ it('tracks success', () => {
   );
 });
 
-it('tracks Bedrock conversation with successful response', () => {
-  const tracker = new LDAIConfigTrackerImpl(
-    mockLdClient,
-    testRunId,
-    configKey,
-    variationKey,
-    version,
-    modelName,
-    providerName,
-    testContext,
-  );
-
-  const TOTAL_TOKENS = 100;
-  const PROMPT_TOKENS = 49;
-  const COMPLETION_TOKENS = 51;
-
-  const response = {
-    $metadata: { httpStatusCode: 200 },
-    metrics: { latencyMs: 500 },
-    usage: {
-      inputTokens: PROMPT_TOKENS,
-      outputTokens: COMPLETION_TOKENS,
-      totalTokens: TOTAL_TOKENS,
-    },
-  };
-
-  tracker.trackBedrockConverseMetrics(response);
-
-  expect(mockTrack).toHaveBeenCalledWith(
-    '$ld:ai:generation:success',
-    testContext,
-    getExpectedTrackData(),
-    1,
-  );
-
-  expect(mockTrack).not.toHaveBeenCalledWith(
-    '$ld:ai:generation:error',
-    expect.anything(),
-    expect.anything(),
-    expect.anything(),
-  );
-
-  expect(mockTrack).toHaveBeenCalledWith(
-    '$ld:ai:duration:total',
-    testContext,
-    getExpectedTrackData(),
-    500,
-  );
-
-  expect(mockTrack).toHaveBeenCalledWith(
-    '$ld:ai:tokens:total',
-    testContext,
-    getExpectedTrackData(),
-    TOTAL_TOKENS,
-  );
-
-  expect(mockTrack).toHaveBeenCalledWith(
-    '$ld:ai:tokens:input',
-    testContext,
-    getExpectedTrackData(),
-    PROMPT_TOKENS,
-  );
-
-  expect(mockTrack).toHaveBeenCalledWith(
-    '$ld:ai:tokens:output',
-    testContext,
-    getExpectedTrackData(),
-    COMPLETION_TOKENS,
-  );
-});
-
-it('tracks Bedrock conversation with error response', () => {
-  const tracker = new LDAIConfigTrackerImpl(
-    mockLdClient,
-    testRunId,
-    configKey,
-    variationKey,
-    version,
-    modelName,
-    providerName,
-    testContext,
-  );
-
-  const response = {
-    $metadata: { httpStatusCode: 400 },
-  };
-
-  tracker.trackBedrockConverseMetrics(response);
-
-  expect(mockTrack).toHaveBeenCalledTimes(1);
-
-  expect(mockTrack).toHaveBeenCalledWith(
-    '$ld:ai:generation:error',
-    testContext,
-    getExpectedTrackData(),
-    1,
-  );
-
-  expect(mockTrack).not.toHaveBeenCalledWith(
-    expect.stringMatching(/^\$ld:ai:tokens:/),
-    expect.anything(),
-    expect.anything(),
-    expect.anything(),
-  );
-});
-
 it('tracks tokens', () => {
   const tracker = new LDAIConfigTrackerImpl(
     mockLdClient,

packages/sdk/server-ai/__tests__/ManagedAgent.test.ts

@@ -33,7 +33,6 @@ describe('ManagedAgent', () => {
       trackFeedback: jest.fn(),
       trackTimeToFirstToken: jest.fn(),
       trackDurationOf: jest.fn(),
-      trackBedrockConverseMetrics: jest.fn(),
       getSummary: jest.fn().mockReturnValue({ success: true, resumptionToken: 'agent-resumption-token' }),
     } as any;
 

packages/sdk/server-ai/__tests__/ManagedModel.test.ts

@@ -24,7 +24,6 @@ describe('ManagedModel', () => {
       trackFeedback: jest.fn(),
       trackTimeToFirstToken: jest.fn(),
       trackDurationOf: jest.fn(),
-      trackBedrockConverseMetrics: jest.fn(),
       getSummary: jest.fn().mockReturnValue({}),
       trackJudgeResult: jest.fn(),
       resumptionToken: 'resumption-token-123',

packages/sdk/server-ai/__tests__/ManagedModelRun.test.ts

@@ -33,7 +33,6 @@ describe('ManagedModel.run() evaluations', () => {
       trackFeedback: jest.fn(),
       trackTimeToFirstToken: jest.fn(),
       trackDurationOf: jest.fn(),
-      trackBedrockConverseMetrics: jest.fn(),
       getSummary: jest
         .fn()
         .mockReturnValue({ success: true, resumptionToken: 'test-resumption-token' }),

packages/sdk/server-ai/__tests__/TokenUsage.test.ts

@@ -17,7 +17,6 @@ These examples show how to integrate LaunchDarkly AI with different providers.
 
 | Provider | Example | Description |
 | --- | --- | --- |
-| Bedrock | [Converse](getting-started/bedrock/converse/) | `completionConfig` with AWS Bedrock Converse API, metrics tracking |
 | OpenAI | [Chat Completions](getting-started/openai/chat-completions/) | `completionConfig` with OpenAI, automatic metrics tracking |
 | Vercel AI | [generateText](getting-started/vercel-ai/generate-text/) | `completionConfig` with the Vercel AI SDK, metrics tracking |