chore(conversation): remove debug logs and add changeset for metrics and usage

Author: pjkroker

.changeset/bedrock-model-usage.md

@@ -0,0 +1,7 @@
+---
+"@aws-amplify/data-schema": minor
+---
+
+feat(conversation): add metrics and usage fields to conversation messages and stream events
+
+Adds support for Bedrock model usage tracking (inputTokens, outputTokens, totalTokens) and metrics (latencyMs) on conversation messages and stream events.

packages/data-schema/src/runtime/internals/ai/convertItemToConversationMessage.ts

@@ -4,9 +4,8 @@
 import { deserializeContent } from './conversationMessageDeserializers';
 
 export const convertItemToConversationMessage = (item: any) => {
-  console.log('[convertItemToConversationMessage] raw item:', JSON.stringify(item, null, 2));
   const { content, createdAt, id, conversationId, role, metrics, usage } = item;
-  const result = {
+  return {
     content: deserializeContent(content ?? []),
     conversationId,
     createdAt,
@@ -15,6 +14,4 @@ export const convertItemToConversationMessage = (item: any) => {
     ...(metrics && { metrics }),
     ...(usage && { usage }),
   };
-  console.log('[convertItemToConversationMessage] result:', JSON.stringify(result, null, 2));
-  return result;
 };

packages/data-schema/src/runtime/internals/ai/createListMessagesFunction.ts

@@ -40,8 +40,6 @@ export const createListMessagesFunction =
       ...input,
       filter: { conversationId: { eq: conversationId } },
     });
-    console.log('[listMessages] conversationMessageModel fields:', Object.keys(conversationMessageModel.fields));
-    console.log('[listMessages] raw data from AppSync:', JSON.stringify(data, null, 2));
     return {
       data: data.map((item: any) => convertItemToConversationMessage(item)),
       nextToken,