feat(Tavily): update sample configuration for Tavily integration

src/lib/chains/imageSearchAgent.ts

@@ -7,7 +7,7 @@ import { PromptTemplate } from '@langchain/core/prompts';
 import formatChatHistoryAsString from '../utils/formatHistory';
 import { BaseMessage } from '@langchain/core/messages';
 import { StringOutputParser } from '@langchain/core/output_parsers';
-import { searchSearxng } from '../searxng';
+import { searchSearxng } from '../searchEngines/searxng';
 import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
 
 const imageSearchChainPrompt = `

src/lib/chains/videoSearchAgent.ts

@@ -7,7 +7,7 @@ import { PromptTemplate } from '@langchain/core/prompts';
 import formatChatHistoryAsString from '../utils/formatHistory';
 import { BaseMessage } from '@langchain/core/messages';
 import { StringOutputParser } from '@langchain/core/output_parsers';
-import { searchSearxng } from '../searxng';
+import { searchSearxng } from '../searchEngines/searxng';
 import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
 
 const VideoSearchChainPrompt = `

src/lib/search/metaSearchAgent.ts

@@ -17,8 +17,8 @@ import LineListOutputParser from '../outputParsers/listLineOutputParser';
 import LineOutputParser from '../outputParsers/lineOutputParser';
 import { getDocumentsFromLinks } from '../utils/documents';
 import { Document } from 'langchain/document';
-import { searchTavily } from '../tavily';
-import { searchSearxng } from '../searxng';
+import { searchTavily } from '../searchEngines/tavily';
+import { searchSearxng } from '../searchEngines/searxng';
 import { getSearchEngine } from '../config';
 import path from 'node:path';
 import fs from 'node:fs';
@@ -208,7 +208,6 @@ class MetaSearchAgent implements MetaSearchAgentType {
           question = question.replace(/<think>.*?<\/think>/g, '');
 
           const searchEngine = getSearchEngine();
-          console.log(`Using search engine: ${searchEngine}`);
 
           let res;
           
@@ -226,12 +225,8 @@ class MetaSearchAgent implements MetaSearchAgentType {
             });
           }
 
-          // If we have an AI-generated answer from Tavily, create a document for it
           let documents: Document[] = [];
           
-          
-
-          // Add the regular search results
           documents = documents.concat(
             res.results.map(
               (result) =>

src/lib/searchEngines/searxng.ts

@@ -1,5 +1,5 @@
 import axios from 'axios';
-import { getSearxngApiEndpoint } from './config';
+import { getSearxngApiEndpoint } from '../config';
 
 interface SearxngSearchOptions {
   categories?: string[];

src/lib/searchEngines/tavily.ts

@@ -1,5 +1,5 @@
 import axios from 'axios';
-import { getTavilyApiKey } from './config';
+import { getTavilyApiKey } from '../config';
 
 interface TavilySearchOptions {
   topic?: 'general' | 'news';