48 lines
1.7 KiB
TypeScript
48 lines
1.7 KiB
TypeScript
import { shouldPerformSearchPrompt } from '../prompts/shouldSearch';
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import { HumanMessage } from '@langchain/core/messages';
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import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
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import logger from './logger'; // Ensure the logger module is correctly imported
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/**
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* Determines whether an external search is required.
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* @param llm - The AI language model instance.
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* @param query - The user's message.
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* @param history - Chat history.
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* @returns {Promise<boolean>} - True if search is needed, False otherwise.
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*/
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export const checkIfSearchIsNeeded = async (
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llm: BaseChatModel,
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query: string,
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history: Array<[string, string]>
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): Promise<boolean> => {
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const prompt = shouldPerformSearchPrompt(query, history);
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logger.info(`📜 Generated Search Decision Prompt for query "${query}":\n${prompt}`);
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try {
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const response = await llm.invoke([new HumanMessage({ content: prompt })]);
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// Log the raw response from LLM
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logger.info(`🔍 Raw Response from LLM for query "${query}": ${JSON.stringify(response)}`);
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const decision = String(response?.content || '').trim().toLowerCase();
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// Log the decision for debugging
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logger.info(`🔍 Search Decision for query "${query}": "${decision}"`);
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if (decision === 'yes') {
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logger.debug(`✅ Search Required for Query: "${query}"`);
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return true;
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} else if (decision === 'no') {
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logger.debug(`❌ No Search Needed for Query: "${query}"`);
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return false;
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} else {
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logger.warn(`⚠️ Unexpected Search Decision Output: "${decision}" (Defaulting to NO)`);
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return false;
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}
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} catch (error) {
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logger.error(`❌ Error in Search Decision: ${error}`);
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return false;
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}
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};
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