feat(agent): Implement simplified chat agent tools and state management
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27 changed files with 1929 additions and 2433 deletions
148
src/lib/tools/agents/fileSearchTool.ts
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148
src/lib/tools/agents/fileSearchTool.ts
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import { tool } from '@langchain/core/tools';
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import { z } from 'zod';
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import { RunnableConfig } from '@langchain/core/runnables';
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import { Document } from 'langchain/document';
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import { Embeddings } from '@langchain/core/embeddings';
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import {
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processFilesToDocuments,
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getRankedDocs,
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} from '@/lib/utils/fileProcessing';
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// Schema for file search tool input
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const FileSearchToolSchema = z.object({
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query: z
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.string()
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.describe('The search query to find relevant content in files'),
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fileIds: z.array(z.string()).describe('Array of file IDs to search through'),
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maxResults: z
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.number()
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.optional()
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.default(12)
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.describe('Maximum number of results to return'),
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similarityThreshold: z
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.number()
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.optional()
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.default(0.3)
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.describe('Minimum similarity threshold for results'),
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});
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/**
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* FileSearchTool - Reimplementation of FileSearchAgent as a tool
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*
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* This tool handles:
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* 1. Processing uploaded files into searchable documents
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* 2. Performing similarity search across file content
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* 3. Ranking and filtering results by relevance
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* 4. Returning relevant file sections as documents
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*/
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export const fileSearchTool = tool(
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async (
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input: z.infer<typeof FileSearchToolSchema>,
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config?: RunnableConfig,
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): Promise<{
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documents: Document[];
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processedFiles: number;
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relevantSections: number;
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relevantDocuments?: any[];
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}> => {
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try {
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const {
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query,
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fileIds,
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maxResults = 12,
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similarityThreshold = 0.3,
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} = input;
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console.log(
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`FileSearchTool: Processing ${fileIds.length} files for query: "${query}"`,
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);
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// Check if we have files to process
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if (!fileIds || fileIds.length === 0) {
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console.log('FileSearchTool: No files provided for search');
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return {
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documents: [],
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processedFiles: 0,
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relevantSections: 0,
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};
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}
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// Get embeddings from config
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if (!config?.configurable?.embeddings) {
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throw new Error('Embeddings not available in config');
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}
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const embeddings: Embeddings = config.configurable.embeddings;
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// Step 1: Process files to documents
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console.log('FileSearchTool: Processing files to documents...');
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const fileDocuments = await processFilesToDocuments(fileIds);
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if (fileDocuments.length === 0) {
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console.log('FileSearchTool: No processable content found in files');
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return {
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documents: [],
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processedFiles: fileIds.length,
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relevantSections: 0,
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};
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}
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console.log(
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`FileSearchTool: Processed ${fileDocuments.length} file sections`,
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);
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// Step 2: Generate query embedding for similarity search
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console.log('FileSearchTool: Generating query embedding...');
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const queryEmbedding = await embeddings.embedQuery(query);
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// Step 3: Perform similarity search and ranking
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console.log('FileSearchTool: Performing similarity search...');
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const rankedDocuments = getRankedDocs(
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queryEmbedding,
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fileDocuments,
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maxResults,
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similarityThreshold,
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);
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console.log(
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`FileSearchTool: Found ${rankedDocuments.length} relevant file sections`,
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);
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// Add search metadata to documents
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const documentsWithMetadata = rankedDocuments.map((doc) => {
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return new Document({
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pageContent: doc.pageContent,
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metadata: {
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...doc.metadata,
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source: 'file_search',
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searchQuery: query,
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similarityScore: doc.metadata?.similarity || 0,
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},
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});
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});
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return {
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documents: documentsWithMetadata,
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processedFiles: fileIds.length,
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relevantSections: rankedDocuments.length,
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};
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} catch (error) {
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console.error('FileSearchTool: Error during file search:', error);
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const errorMessage =
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error instanceof Error ? error.message : 'Unknown error';
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// Return empty results on error, but don't throw to allow graceful handling
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return {
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documents: [],
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processedFiles: input.fileIds?.length || 0,
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relevantSections: 0,
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};
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}
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},
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{
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name: 'file_search',
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description:
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'Searches through uploaded files to find relevant content sections based on a query using semantic similarity',
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schema: FileSearchToolSchema,
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},
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);
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