Orchestrator logs its own requests

packages/ai-chat/src/common/chat-agents.ts

@@ -137,7 +137,8 @@ export abstract class AbstractChatAgent {
         protected defaultLanguageModelPurpose: string,
         public iconClass: string = 'codicon codicon-copilot',
         public locations: ChatAgentLocation[] = ChatAgentLocation.ALL,
-        public tags: String[] = ['Chat']) {
+        public tags: String[] = ['Chat'],
+        public defaultLogging: boolean = true) {
     }
 
     @postConstruct()
@@ -152,14 +153,16 @@ export abstract class AbstractChatAgent {
                 throw new Error('Couldn\'t find a matching language model. Please check your setup!');
             }
             const messages = await this.getMessages(request.session);
-            this.recordingService.recordRequest({
-                agentId: this.id,
-                sessionId: request.session.id,
-                timestamp: Date.now(),
-                requestId: request.id,
-                request: request.request.text,
-                messages
-            });
+            if (this.defaultLogging) {
+                this.recordingService.recordRequest({
+                    agentId: this.id,
+                    sessionId: request.session.id,
+                    timestamp: Date.now(),
+                    requestId: request.id,
+                    request: request.request.text,
+                    messages
+                });
+            }
 
             const systemMessageDescription = await this.getSystemMessageDescription();
             const tools: Map<string, ToolRequest> = new Map();
@@ -192,13 +195,15 @@ export abstract class AbstractChatAgent {
             );
             await this.addContentsToResponse(languageModelResponse, request);
             request.response.complete();
-            this.recordingService.recordResponse({
-                agentId: this.id,
-                sessionId: request.session.id,
-                timestamp: Date.now(),
-                requestId: request.response.requestId,
-                response: request.response.response.asString()
-            });
+            if (this.defaultLogging) {
+                this.recordingService.recordResponse({
+                    agentId: this.id,
+                    sessionId: request.session.id,
+                    timestamp: Date.now(),
+                    requestId: request.response.requestId,
+                    response: request.response.response.asString()
+                });
+            }
         } catch (e) {
             this.handleError(request, e);
         }
@@ -307,25 +312,30 @@ export abstract class AbstractStreamParsingChatAgent extends AbstractChatAgent {
             const contents = this.parseContents(languageModelResponse.text);
             request.response.response.addContents(contents);
             request.response.complete();
-            this.recordingService.recordResponse({
-                agentId: this.id,
-                sessionId: request.session.id,
-                timestamp: Date.now(),
-                requestId: request.response.requestId,
-                response: request.response.response.asString()
-            });
+            if (this.defaultLogging) {
+                this.recordingService.recordResponse({
+                    agentId: this.id,
+                    sessionId: request.session.id,
+                    timestamp: Date.now(),
+                    requestId: request.response.requestId,
+                    response: request.response.response.asString()
+
+                });
+            }
             return;
         }
         if (isLanguageModelStreamResponse(languageModelResponse)) {
             await this.addStreamResponse(languageModelResponse, request);
             request.response.complete();
-            this.recordingService.recordResponse({
-                agentId: this.id,
-                sessionId: request.session.id,
-                timestamp: Date.now(),
-                requestId: request.response.requestId,
-                response: request.response.response.asString()
-            });
+            if (this.defaultLogging) {
+                this.recordingService.recordResponse({
+                    agentId: this.id,
+                    sessionId: request.session.id,
+                    timestamp: Date.now(),
+                    requestId: request.response.requestId,
+                    response: request.response.response.asString()
+                });
+            }
             return;
         }
         this.logger.error(

packages/ai-chat/src/common/chat-model.ts

@@ -73,6 +73,7 @@ export interface ChatRequestModel {
     readonly response: ChatResponseModel;
     readonly message: ParsedChatRequest;
     readonly agentId?: string;
+    readonly data?: { [key: string]: unknown };
 }
 
 export interface ChatProgressMessage {
@@ -342,14 +343,29 @@ export class ChatRequestModelImpl implements ChatRequestModel {
     protected _request: ChatRequest;
     protected _response: ChatResponseModelImpl;
     protected _agentId?: string;
+    protected _data: { [key: string]: unknown };
 
-    constructor(session: ChatModel, public readonly message: ParsedChatRequest, agentId?: string) {
+    constructor(session: ChatModel, public readonly message: ParsedChatRequest, agentId?: string,
+        data: { [key: string]: unknown } = {}) {
         // TODO accept serialized data as a parameter to restore a previously saved ChatRequestModel
         this._request = message.request;
         this._id = generateUuid();
         this._session = session;
         this._response = new ChatResponseModelImpl(this._id, agentId);
         this._agentId = agentId;
+        this._data = data;
+    }
+
+    get data(): { [key: string]: unknown } | undefined {
+        return this._data;
+    }
+
+    addData(key: string, value: unknown): void {
+        this._data[key] = value;
+    }
+
+    getDataByKey(key: string): unknown {
+        return this._data[key];
     }
 
     get id(): string {

packages/ai-chat/src/common/orchestrator-chat-agent.ts

@@ -14,14 +14,15 @@
 // SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-only WITH Classpath-exception-2.0
 // *****************************************************************************
 
-import { AgentSpecificVariables, getJsonOfResponse, LanguageModelResponse } from '@theia/ai-core';
+import { AgentSpecificVariables, getJsonOfText, getTextOfResponse, LanguageModelResponse } from '@theia/ai-core';
 import {
     PromptTemplate
 } from '@theia/ai-core/lib/common';
 import { inject, injectable } from '@theia/core/shared/inversify';
 import { ChatAgentService } from './chat-agent-service';
 import { AbstractStreamParsingChatAgent, ChatAgent, SystemMessageDescription } from './chat-agents';
 import { ChatRequestModelImpl, InformationalChatResponseContentImpl } from './chat-model';
+import { generateUuid } from '@theia/core';
 
 export const orchestratorTemplate: PromptTemplate = {
     id: 'orchestrator-system',
@@ -59,6 +60,7 @@
 `};
 
 export const OrchestratorChatAgentId = 'Orchestrator';
+const OrchestatorRequestIdKey = 'orchestatorRequestIdKey';
 
 @injectable()
 export class OrchestratorChatAgent extends AbstractStreamParsingChatAgent implements ChatAgent {
@@ -74,7 +76,7 @@
         super(OrchestratorChatAgentId, [{
             purpose: 'agent-selection',
             identifier: 'openai/gpt-4o',
-        }], 'agent-selection', 'codicon codicon-symbol-boolean');
+        }], 'agent-selection', 'codicon codicon-symbol-boolean', undefined, undefined, false);
         this.name = OrchestratorChatAgentId;
         this.description = 'This agent analyzes the user request against the description of all available chat agents and selects the best fitting agent to answer the request \
         (by using AI).The user\'s request will be directly delegated to the selected agent without further confirmation.';
@@ -88,8 +90,19 @@
     @inject(ChatAgentService)
     protected chatAgentService: ChatAgentService;
 
-    override invoke(request: ChatRequestModelImpl): Promise<void> {
+    override async invoke(request: ChatRequestModelImpl): Promise<void> {
         request.response.addProgressMessage({ content: 'Determining the most appropriate agent', status: 'inProgress' });
+        // We generate a dedicated ID for recording the orchestrator request/response, as we will forward the original request to another agent
+        const orchestartorRequestId = generateUuid();
+        request.addData(OrchestatorRequestIdKey, orchestartorRequestId);
+        const userPrompt = request.request.text;
+        this.recordingService.recordRequest({
+            agentId: this.id,
+            sessionId: request.session.id,
+            timestamp: Date.now(),
+            requestId: orchestartorRequestID,
+            request: userPrompt,
+        });
         return super.invoke(request);
     }
 
@@ -100,8 +113,20 @@
 
     protected override async addContentsToResponse(response: LanguageModelResponse, request: ChatRequestModelImpl): Promise<void> {
         let agentIds: string[] = [];
+        const responseText = await getTextOfResponse(response);
+        // We use the previously generated, dedicated ID to log the orchestrator response before we forward the original request
+        const orchestratorRequestId = request.getDataByKey(OrchestatorRequestIdKey);
+        if (typeof orchestratorRequestId === 'string') {
+            this.recordingService.recordResponse({
+                agentId: this.id,
+                sessionId: request.session.id,
+                timestamp: Date.now(),
+                requestId: orchestratorRequestId,
+                response: responseText,
+            });
+        }
         try {
-            const jsonResponse = await getJsonOfResponse(response);
+            const jsonResponse = await getJsonOfText(responseText);
             if (Array.isArray(jsonResponse)) {
                 agentIds = jsonResponse.filter((id: string) => id !== this.id);
             }

packages/ai-core/src/common/language-model-util.ts

@@ -14,8 +14,18 @@
 // SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-only WITH Classpath-exception-2.0
 // *****************************************************************************
 
-import { isLanguageModelStreamResponse, isLanguageModelTextResponse, LanguageModelResponse, ToolRequest } from './language-model';
+import { isLanguageModelParsedResponse, isLanguageModelStreamResponse, isLanguageModelTextResponse, LanguageModelResponse, ToolRequest } from './language-model';
 
+/**
+ * Retrieves the text content from a `LanguageModelResponse` object.
+ *
+ * **Important:** For stream responses, the stream can only be consumed once. Calling this function multiple times on the same stream response will return an empty string (`''`)
+ * on subsequent calls, as the stream will have already been consumed.
+ *
+ * @param {LanguageModelResponse} response - The response object, which may contain a text, stream, or parsed response.
+ * @returns {Promise<string>} - A promise that resolves to the text content of the response.
+ * @throws {Error} - Throws an error if the response type is not supported or does not contain valid text content.
+ */
 export const getTextOfResponse = async (response: LanguageModelResponse): Promise<string> => {
     if (isLanguageModelTextResponse(response)) {
         return response.text;
@@ -25,12 +35,18 @@ export const getTextOfResponse = async (response: LanguageModelResponse): Promis
             result += chunk.content ?? '';
         }
         return result;
+    } else if (isLanguageModelParsedResponse(response)) {
+        return response.content;
     }
     throw new Error(`Invalid response type ${response}`);
 };
 
 export const getJsonOfResponse = async (response: LanguageModelResponse): Promise<unknown> => {
     const text = await getTextOfResponse(response);
+    return getJsonOfText(text);
+};
+
+export const getJsonOfText = (text: string): unknown => {
     if (text.startsWith('```json')) {
         const regex = /```json\s*([\s\S]*?)\s*```/g;
         let match;
@@ -47,6 +63,7 @@ export const getJsonOfResponse = async (response: LanguageModelResponse): Promis
     }
     throw new Error('Invalid response format');
 };
+
 export const toolRequestToPromptText = (toolRequest: ToolRequest): string => {
     const parameters = toolRequest.parameters;
     let paramsText = '';