2025-10-06 17:30:16 -04:00
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import { Providers } from '@librechat/agents';
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import { isOpenAILikeProvider, isDocumentSupportedProvider } from 'librechat-data-provider';
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import type { IMongoFile } from '@librechat/data-schemas';
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2025-11-07 10:57:15 -05:00
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import type {
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AnthropicDocumentBlock,
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StrategyFunctions,
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DocumentResult,
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ServerRequest,
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} from '~/types';
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import { getFileStream, getConfiguredFileSizeLimit } from './utils';
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2025-10-06 17:30:16 -04:00
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import { validatePdf } from '~/files/validation';
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/**
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* Processes and encodes document files for various providers
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* @param req - Express request object
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* @param files - Array of file objects to process
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2025-11-10 19:05:30 -05:00
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* @param params - Object containing provider, endpoint, and other options
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* @param params.provider - The provider name
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* @param params.endpoint - Optional endpoint name for file config lookup
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* @param params.useResponsesApi - Whether to use responses API format
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2025-10-06 17:30:16 -04:00
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* @param getStrategyFunctions - Function to get strategy functions
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* @returns Promise that resolves to documents and file metadata
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*/
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export async function encodeAndFormatDocuments(
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req: ServerRequest,
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files: IMongoFile[],
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params: { provider: Providers; endpoint?: string; useResponsesApi?: boolean },
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getStrategyFunctions: (source: string) => StrategyFunctions,
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): Promise<DocumentResult> {
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const { provider, endpoint, useResponsesApi } = params;
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2025-10-06 17:30:16 -04:00
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if (!files?.length) {
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return { documents: [], files: [] };
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}
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const encodingMethods: Record<string, StrategyFunctions> = {};
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const result: DocumentResult = { documents: [], files: [] };
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const documentFiles = files.filter(
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(file) => file.type === 'application/pdf' || file.type?.startsWith('application/'),
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);
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if (!documentFiles.length) {
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return result;
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}
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const results = await Promise.allSettled(
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documentFiles.map((file) => {
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if (file.type !== 'application/pdf' || !isDocumentSupportedProvider(provider)) {
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return Promise.resolve(null);
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}
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return getFileStream(req, file, encodingMethods, getStrategyFunctions);
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}),
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);
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for (const settledResult of results) {
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if (settledResult.status === 'rejected') {
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console.error('Document processing failed:', settledResult.reason);
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continue;
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}
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const processed = settledResult.value;
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if (!processed) continue;
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const { file, content, metadata } = processed;
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if (!content || !file) {
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if (metadata) result.files.push(metadata);
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continue;
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}
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if (file.type === 'application/pdf' && isDocumentSupportedProvider(provider)) {
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const pdfBuffer = Buffer.from(content, 'base64');
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/** Extract configured file size limit from fileConfig for this endpoint */
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const configuredFileSizeLimit = getConfiguredFileSizeLimit(req, {
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provider,
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endpoint,
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});
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const validation = await validatePdf(
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pdfBuffer,
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pdfBuffer.length,
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provider,
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configuredFileSizeLimit,
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);
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if (!validation.isValid) {
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throw new Error(`PDF validation failed: ${validation.error}`);
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}
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if (provider === Providers.ANTHROPIC) {
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const document: AnthropicDocumentBlock = {
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type: 'document',
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source: {
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type: 'base64',
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media_type: 'application/pdf',
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data: content,
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},
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citations: { enabled: true },
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};
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if (file.filename) {
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document.context = `File: "${file.filename}"`;
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}
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result.documents.push(document);
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} else if (useResponsesApi) {
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result.documents.push({
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type: 'input_file',
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filename: file.filename,
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file_data: `data:application/pdf;base64,${content}`,
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});
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} else if (provider === Providers.GOOGLE || provider === Providers.VERTEXAI) {
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result.documents.push({
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type: 'document',
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mimeType: 'application/pdf',
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data: content,
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});
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} else if (isOpenAILikeProvider(provider) && provider != Providers.AZURE) {
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result.documents.push({
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type: 'file',
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file: {
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filename: file.filename,
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file_data: `data:application/pdf;base64,${content}`,
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},
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});
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}
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result.files.push(metadata);
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}
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}
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return result;
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}
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