LibreChat/api/app/clients/tools/util/fileSearch.js
Danny Avila 1b79e0b785
🧬 chore: Align LibreChat With Agents LangChain Upgrade (#12922)
* 🔧 chore: Update dependencies in package-lock.json and package.json

- Bump version of @librechat/agents to 3.1.75-dev.0 in multiple package.json files.
- Upgrade various AWS SDK and Smithy dependencies to their latest versions in package-lock.json for improved stability and performance.

* 🔧 chore: Update AWS SDK and Smithy dependencies in package-lock.json

- Bump version of @aws-sdk/client-bedrock-runtime to 3.1041.0 and update related dependencies for improved performance and stability.
- Upgrade various AWS SDK and Smithy packages to their latest versions, ensuring compatibility and enhanced functionality.

* chore: Align LibreChat with agents LangChain upgrade

- Route LangChain imports through @librechat/agents facade exports
- Update @librechat/agents to 3.1.75-dev.1 and remove direct LangChain deps
- Normalize nullable agent model params and API key override typing
- Update Google thinking config typing for newer LangChain packages
- Refresh targeted audit-related dependency overrides

* chore: Add Jest types for API specs

* test: Fix LangChain upgrade CI specs

* test: Exercise agents env facade

* fix: Clean up TS preview diagnostics

* fix: Address Codex review feedback
2026-05-03 12:46:01 -04:00

201 lines
7.2 KiB
JavaScript

const axios = require('axios');
const { logger } = require('@librechat/data-schemas');
const { tool } = require('@librechat/agents/langchain/tools');
const { generateShortLivedToken } = require('@librechat/api');
const { Tools, EToolResources } = require('librechat-data-provider');
const { filterFilesByAgentAccess } = require('~/server/services/Files/permissions');
const { getFiles } = require('~/models');
const fileSearchJsonSchema = {
type: 'object',
properties: {
query: {
type: 'string',
description:
"A natural language query to search for relevant information in the files. Be specific and use keywords related to the information you're looking for. The query will be used for semantic similarity matching against the file contents.",
},
},
required: ['query'],
};
/**
*
* @param {Object} options
* @param {ServerRequest} options.req
* @param {Agent['tool_resources']} options.tool_resources
* @param {string} [options.agentId] - The agent ID for file access control
* @returns {Promise<{
* files: Array<{ file_id: string; filename: string }>,
* toolContext: string
* }>}
*/
const primeFiles = async (options) => {
const { tool_resources, req, agentId } = options;
const file_ids = tool_resources?.[EToolResources.file_search]?.file_ids ?? [];
const agentResourceIds = new Set(file_ids);
const resourceFiles = tool_resources?.[EToolResources.file_search]?.files ?? [];
// Get all files first
const allFiles = (await getFiles({ file_id: { $in: file_ids } }, null, { text: 0 })) ?? [];
// Filter by access if user and agent are provided
let dbFiles;
if (req?.user?.id && agentId) {
dbFiles = await filterFilesByAgentAccess({
files: allFiles,
userId: req.user.id,
role: req.user.role,
agentId,
});
} else {
dbFiles = allFiles;
}
dbFiles = dbFiles.concat(resourceFiles);
let toolContext = `- Note: Semantic search is available through the ${Tools.file_search} tool but no files are currently loaded. Request the user to upload documents to search through.`;
const files = [];
for (let i = 0; i < dbFiles.length; i++) {
const file = dbFiles[i];
if (!file) {
continue;
}
if (i === 0) {
toolContext = `- Note: Use the ${Tools.file_search} tool to find relevant information within:`;
}
toolContext += `\n\t- ${file.filename}${
agentResourceIds.has(file.file_id) ? '' : ' (just attached by user)'
}`;
files.push({
file_id: file.file_id,
filename: file.filename,
});
}
return { files, toolContext };
};
/**
*
* @param {Object} options
* @param {string} options.userId
* @param {Array<{ file_id: string; filename: string }>} options.files
* @param {string} [options.entity_id]
* @param {boolean} [options.fileCitations=false] - Whether to include citation instructions
* @returns
*/
const createFileSearchTool = async ({ userId, files, entity_id, fileCitations = false }) => {
return tool(
async ({ query }) => {
if (files.length === 0) {
return ['No files to search. Instruct the user to add files for the search.', undefined];
}
const jwtToken = generateShortLivedToken(userId);
if (!jwtToken) {
return ['There was an error authenticating the file search request.', undefined];
}
/**
* @param {import('librechat-data-provider').TFile} file
* @returns {{ file_id: string, query: string, k: number, entity_id?: string }}
*/
const createQueryBody = (file) => {
const body = {
file_id: file.file_id,
query,
k: 5,
};
if (!entity_id) {
return body;
}
body.entity_id = entity_id;
logger.debug(`[${Tools.file_search}] RAG API /query body`, body);
return body;
};
const queryPromises = files.map((file) =>
axios
.post(`${process.env.RAG_API_URL}/query`, createQueryBody(file), {
headers: {
Authorization: `Bearer ${jwtToken}`,
'Content-Type': 'application/json',
},
})
.catch((error) => {
logger.error('Error encountered in `file_search` while querying file:', error);
return null;
}),
);
const results = await Promise.all(queryPromises);
const validResults = results.filter((result) => result !== null);
if (validResults.length === 0) {
return ['No results found or errors occurred while searching the files.', undefined];
}
const formattedResults = validResults
.flatMap((result, fileIndex) =>
result.data.map(([docInfo, distance]) => ({
filename: docInfo.metadata.source.split('/').pop(),
content: docInfo.page_content,
distance,
file_id: files[fileIndex]?.file_id,
page: docInfo.metadata.page || null,
})),
)
.sort((a, b) => a.distance - b.distance)
.slice(0, 10);
if (formattedResults.length === 0) {
return [
'No content found in the files. The files may not have been processed correctly or you may need to refine your query.',
undefined,
];
}
const formattedString = formattedResults
.map(
(result, index) =>
`File: ${result.filename}${
fileCitations ? `\nAnchor: \\ue202turn0file${index} (${result.filename})` : ''
}\nRelevance: ${(1.0 - result.distance).toFixed(4)}\nContent: ${result.content}\n`,
)
.join('\n---\n');
const sources = formattedResults.map((result) => ({
type: 'file',
fileId: result.file_id,
content: result.content,
fileName: result.filename,
relevance: 1.0 - result.distance,
pages: result.page ? [result.page] : [],
pageRelevance: result.page ? { [result.page]: 1.0 - result.distance } : {},
}));
return [formattedString, { [Tools.file_search]: { sources, fileCitations } }];
},
{
name: Tools.file_search,
responseFormat: 'content_and_artifact',
description: `Performs semantic search across attached "${Tools.file_search}" documents using natural language queries. This tool analyzes the content of uploaded files to find relevant information, quotes, and passages that best match your query. Use this to extract specific information or find relevant sections within the available documents.${
fileCitations
? `
**CITE FILE SEARCH RESULTS:**
Use the EXACT anchor markers shown below (copy them verbatim) immediately after statements derived from file content. Reference the filename in your text:
- File citation: "The document.pdf states that... \\ue202turn0file0"
- Page reference: "According to report.docx... \\ue202turn0file1"
- Multi-file: "Multiple sources confirm... \\ue200\\ue202turn0file0\\ue202turn0file1\\ue201"
**CRITICAL:** Output these escape sequences EXACTLY as shown (e.g., \\ue202turn0file0). Do NOT substitute with other characters like † or similar symbols.
**ALWAYS mention the filename in your text before the citation marker. NEVER use markdown links or footnotes.**`
: ''
}`,
schema: fileSearchJsonSchema,
},
);
};
module.exports = { createFileSearchTool, primeFiles, fileSearchJsonSchema };