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📎 feat: Upload as Text Support for Plaintext, STT, RAG, and Token Limits (#8868)
* 🪶 feat: Add Support for Uploading Plaintext Files feat: delineate between OCR and text handling in fileConfig field of config file - also adds support for passing in mimetypes as just plain file extensions feat: add showLabel bool to support future synthetic component DynamicDropdownInput feat: add new combination dropdown-input component in params panel to support file type token limits refactor: move hovercard to side to align with other hovercards chore: clean up autogenerated comments feat: add delineation to file upload path between text and ocr configured filetypes feat: add token limit checks during file upload refactor: move textParsing out of ocrEnabled logic refactor: clean up types for filetype config refactor: finish decoupling DynamicDropdownInput from fileTokenLimits fix: move image token cost function into file to fix circular dependency causing unittest to fail and remove unused var for linter chore: remove out of scope code following review refactor: make fileTokenLimit conform to existing styles chore: remove unused localization string chore: undo changes to DynamicInput and other strays feat: add fileTokenLimit to all provider config panels fix: move textParsing back into ocr tool_resource block for now so that it doesn't interfere with other upload types * 📤 feat: Add RAG API Endpoint Support for Text Parsing (#8849) * feat: implement RAG API integration for text parsing with fallback to native parsing * chore: remove TODO now that placeholder and fllback are implemented * ✈️ refactor: Migrate Text Parsing to TS (#8892) * refactor: move generateShortLivedToken to packages/api * refactor: move textParsing logic into packages/api * refactor: reduce nesting and dry code with createTextFile * fix: add proper source handling * fix: mock new parseText and parseTextNative functions in jest file * ci: add test coverage for textParser * 💬 feat: Add Audio File Support to Upload as Text (#8893) * feat: add STT support for Upload as Text * refactor: move processAudioFile to packages/api * refactor: move textParsing from utils to files * fix: remove audio/mp3 from unsupported mimetypes test since it is now supported * ✂️ feat: Configurable File Token Limits and Truncation (#8911) * feat: add configurable fileTokenLimit default value * fix: add stt to fileConfig merge logic * fix: add fileTokenLimit to mergeFileConfig logic so configurable value is actually respected from yaml * feat: add token limiting to parsed text files * fix: add extraction logic and update tests so fileTokenLimit isnt sent to LLM providers * fix: address comments * refactor: rename textTokenLimiter.ts to text.ts * chore: update form-data package to address CVE-2025-7783 and update package-lock * feat: use default supported mime types for ocr on frontend file validation * fix: should be using logger.debug not console.debug * fix: mock existsSync in text.spec.ts * fix: mock logger rather than every one of its function calls * fix: reorganize imports and streamline file upload processing logic * refactor: update createTextFile function to use destructured parameters and improve readability * chore: update file validation to use EToolResources for improved type safety * chore: update import path for types in audio processing module * fix: update file configuration access and replace console.debug with logger.debug for improved logging --------- Co-authored-by: Dustin Healy <dustinhealy1@gmail.com> Co-authored-by: Dustin Healy <54083382+dustinhealy@users.noreply.github.com>
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41 changed files with 847 additions and 75 deletions
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@ -1,13 +1,16 @@
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const axios = require('axios');
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const { logAxiosError } = require('@librechat/api');
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const { logger } = require('@librechat/data-schemas');
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const { logAxiosError, processTextWithTokenLimit } = require('@librechat/api');
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const {
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FileSources,
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VisionModes,
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ImageDetail,
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ContentTypes,
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EModelEndpoint,
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mergeFileConfig,
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} = require('librechat-data-provider');
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const { getStrategyFunctions } = require('~/server/services/Files/strategies');
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const countTokens = require('~/server/utils/countTokens');
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/**
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* Converts a readable stream to a base64 encoded string.
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@ -102,11 +105,28 @@ async function encodeAndFormat(req, files, endpoint, mode) {
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return result;
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}
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const fileTokenLimit =
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req.body?.fileTokenLimit ?? mergeFileConfig(req.config?.fileConfig).fileTokenLimit;
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for (let file of files) {
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/** @type {FileSources} */
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const source = file.source ?? FileSources.local;
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if (source === FileSources.text && file.text) {
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result.text += `${!result.text ? 'Attached document(s):\n```md' : '\n\n---\n\n'}# "${file.filename}"\n${file.text}\n`;
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let fileText = file.text;
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const { text: limitedText, wasTruncated } = await processTextWithTokenLimit({
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text: fileText,
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tokenLimit: fileTokenLimit,
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tokenCountFn: (text) => countTokens(text),
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});
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if (wasTruncated) {
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logger.debug(
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`[encodeAndFormat] Text content truncated for file: ${file.filename} due to token limits`,
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);
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}
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result.text += `${!result.text ? 'Attached document(s):\n```md' : '\n\n---\n\n'}# "${file.filename}"\n${limitedText}\n`;
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}
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if (!file.height) {
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@ -135,7 +155,7 @@ async function encodeAndFormat(req, files, endpoint, mode) {
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base64Data = null;
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continue;
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} catch (error) {
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// Error handling code
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logger.error('Error processing image from blob storage:', error);
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}
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} else if (source !== FileSources.local && base64Only.has(endpoint)) {
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const [_file, imageURL] = await preparePayload(req, file);
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