refactor(chatbot): integrate OpenAI service into chatbot implementations

- Updated various chatbot services (Typebot, Dify, EvolutionBot, Flowise, N8n) to include the OpenAI service for audio transcription capabilities.
- Modified constructors to accept OpenaiService as a dependency, enhancing the ability to transcribe audio messages directly within each service.
- Refactored the handling of `keywordFinish` in multiple controllers and services, changing its type from an array to a string for consistency and simplifying logic.
- Removed redundant audio transcription logic from the base service, centralizing it within the OpenAI service to improve maintainability and reduce code duplication.

This commit focuses on enhancing the chatbot services by integrating OpenAI's transcription capabilities, improving code structure, and ensuring consistent handling of session keywords.

src/api/integrations/chatbot/evolutionBot/services/evolutionBot.service.ts

@@ -8,10 +8,19 @@ import { sendTelemetry } from '@utils/sendTelemetry';
 import axios from 'axios';
 
 import { BaseChatbotService } from '../../base-chatbot.service';
+import { OpenaiService } from '../../openai/services/openai.service';
 
 export class EvolutionBotService extends BaseChatbotService<EvolutionBot, EvolutionBotSetting> {
-  constructor(waMonitor: WAMonitoringService, configService: ConfigService, prismaRepository: PrismaRepository) {
+  private openaiService: OpenaiService;
+
+  constructor(
+    waMonitor: WAMonitoringService,
+    configService: ConfigService,
+    prismaRepository: PrismaRepository,
+    openaiService: OpenaiService,
+  ) {
     super(waMonitor, prismaRepository, 'EvolutionBotService', configService);
+    this.openaiService = openaiService;
   }
 
   /**
@@ -50,6 +59,21 @@ export class EvolutionBotService extends BaseChatbotService<EvolutionBot, Evolut
         user: remoteJid,
       };
 
+      if (this.isAudioMessage(content) && msg) {
+        try {
+          this.logger.debug(`[EvolutionBot] Downloading audio for Whisper transcription`);
+          const transcription = await this.openaiService.speechToText(msg);
+          if (transcription) {
+            payload.query = transcription;
+          } else {
+            payload.query = '[Audio message could not be transcribed]';
+          }
+        } catch (err) {
+          this.logger.error(`[EvolutionBot] Failed to transcribe audio: ${err}`);
+          payload.query = '[Audio message could not be transcribed]';
+        }
+      }
+
       if (this.isImageMessage(content)) {
         const contentSplit = content.split('|');