Integrate feedback(Thumb up/down) with memory API

public/hooks/use_feed_back.tsx

@@ -10,25 +10,8 @@ import { useChatContext } from '../contexts/chat_context';
 import { useCore } from '../contexts/core_context';
 import { useChatState } from './use_chat_state';
 
-interface AccountResponse {
-  data: { user_name: string; user_requested_tenant: string; roles: string[] };
-}
-
 interface SendFeedbackBody {
-  metadata: {
-    type: 'event_analytics' | 'chat' | 'ppl_submit';
-    sessionId?: string;
-    traceId?: string;
-    error?: boolean;
-    user: string;
-    tenant: string;
-  };
-  input: string;
-  output: string;
-  correct: boolean | undefined;
-  // Currently unused but required.
-  expectedOutput: string;
-  comment: string;
+  satisfaction: boolean;
 }
 
 export const useFeedback = () => {
@@ -39,7 +22,7 @@ export const useFeedback = () => {
 
   const sendFeedback = async (message: IOutput, correct: boolean) => {
     const outputMessage = message;
-    // Markdown type output all has traceId.
+    // Markdown type output all has traceId. The traceId of message is equal to interaction id.
     const outputMessageIndex = chatState.messages.findIndex((item) => {
       return item.type === 'output' && item.traceId === message.traceId;
     });
@@ -50,25 +33,12 @@ export const useFeedback = () => {
       return;
     }
 
-    const { username, tenant } = chatContext.currentAccount;
     const body: SendFeedbackBody = {
-      metadata: {
-        type: 'chat', // currently type is only chat in feedback
-        sessionId: chatContext.sessionId,
-        traceId: outputMessage.traceId,
-        error: false,
-        user: username,
-        tenant,
-      },
-      input: inputMessage.content,
-      output: outputMessage.content,
-      correct,
-      expectedOutput: '',
-      comment: '',
+      satisfaction: correct,
     };
 
     try {
-      await core.services.http.post(ASSISTANT_API.FEEDBACK, {
+      await core.services.http.put(`${ASSISTANT_API.FEEDBACK}/${message.traceId}`, {
         body: JSON.stringify(body),
       });
       setFeedbackResult(correct);

server/routes/chat_routes.ts

@@ -105,6 +105,18 @@ const updateSessionRoute = {
   },
 };
 
+const feedbackRoute = {
+  path: `${ASSISTANT_API.FEEDBACK}/{interactionId}`,
+  validate: {
+    params: schema.object({
+      interactionId: schema.string(),
+    }),
+    body: schema.object({
+      satisfaction: schema.boolean(),
+    }),
+  },
+};
+
 export function registerChatRoutes(router: IRouter, routeOptions: RoutesOptions) {
   const createStorageService = (context: RequestHandlerContext) =>
     new AgentFrameworkStorageService(
@@ -293,4 +305,26 @@ export function registerChatRoutes(router: IRouter, routeOptions: RoutesOptions)
       }
     }
   );
+
+  router.put(
+    feedbackRoute,
+    async (
+      context,
+      request,
+      response
+    ): Promise<IOpenSearchDashboardsResponse<HttpResponsePayload | ResponseError>> => {
+      const storageService = createStorageService(context);
+      const { interactionId } = request.params;
+
+      try {
+        const getResponse = await storageService.updateInteraction(interactionId, {
+          feedback: request.body,
+        });
+        return response.ok({ body: getResponse });
+      } catch (error) {
+        context.assistant_plugin.logger.error(error);
+        return response.custom({ statusCode: error.statusCode || 500, body: error.message });
+      }
+    }
+  );
 }

server/routes/langchain_routes.ts

@@ -130,48 +130,4 @@ export function registerLangchainRoutes(router: IRouter) {
       }
     }
   );
-
-  router.post(
-    {
-      path: ASSISTANT_API.FEEDBACK,
-      validate: {
-        body: schema.object({
-          metadata: schema.object({
-            user: schema.string(),
-            tenant: schema.string(),
-            type: schema.string(),
-            sessionId: schema.maybe(schema.string()),
-            traceId: schema.maybe(schema.string()),
-            error: schema.maybe(schema.boolean()),
-            selectedIndex: schema.maybe(schema.string()),
-          }),
-          input: schema.string(),
-          output: schema.string(),
-          correct: schema.boolean(),
-          expectedOutput: schema.string(),
-          comment: schema.string(),
-        }),
-      },
-    },
-    async (
-      context,
-      request,
-      response
-    ): Promise<IOpenSearchDashboardsResponse<HttpResponsePayload | ResponseError>> => {
-      try {
-        await context.core.opensearch.client.asCurrentUser.index({
-          index: LLM_INDEX.FEEDBACK,
-          body: { ...request.body, timestamp: new Date().toISOString() },
-        });
-
-        return response.ok();
-      } catch (error) {
-        console.error(error);
-        return response.custom({
-          statusCode: error.statusCode || 500,
-          body: error.message,
-        });
-      }
-    }
-  );
 }

server/services/storage/agent_framework_storage_service.ts

@@ -181,4 +181,32 @@ export class AgentFrameworkStorageService implements StorageService {
       throw new Error('update converstaion failed, reason:' + JSON.stringify(error.meta?.body));
     }
   }
+
+  async updateInteraction(
+    interactionId: string,
+    additionalInfo: Record<string, Record<string, boolean | string>>
+  ): Promise<SessionOptResponse> {
+    try {
+      const response = await this.client.transport.request({
+        method: 'PUT',
+        path: `/_plugins/_ml/memory/interaction/${interactionId}/_update`,
+        body: {
+          additional_info: additionalInfo,
+        },
+      });
+      if (response.statusCode === 200) {
+        return {
+          success: true,
+        };
+      } else {
+        return {
+          success: false,
+          statusCode: response.statusCode,
+          message: JSON.stringify(response.body),
+        };
+      }
+    } catch (error) {
+      throw new Error('update interaction failed, reason:' + JSON.stringify(error.meta?.body));
+    }
+  }
 }