📑 feat: Anthropic Direct Provider Upload (#9072)

* feat: implement Anthropic native PDF support with document preservation

- Add comprehensive debug logging throughout PDF processing pipeline
- Refactor attachment processing to separate image and document handling
- Create distinct addImageURLs(), addDocuments(), and processAttachments() methods
- Fix critical bugs in stream handling and parameter passing
- Add streamToBuffer utility for proper stream-to-buffer conversion
- Remove api/agents submodule from repository

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* chore: remove out of scope formatting changes

* fix: stop duplication of file in chat on end of response stream

* chore: bring back file search and ocr options

* chore: localize upload to provider string in file menu

* refactor: change createMenuItems args to fit new pattern introduced by anthropic-native-pdf-support

* feat: add cache point for pdfs processed by anthropic endpoint since they are unlikely to change and should benefit from caching

* feat: combine Upload Image into Upload to Provider since they both perform direct upload and change provider upload icon to reflect multimodal upload

* feat: add citations support according to docs

* refactor: remove redundant 'document' check since documents are handled properly by formatMessage in the agents repo now

* refactor: change upload logic so anthropic endpoint isn't exempted from normal upload path using Agents for consistency with the rest of the upload logic

* fix: include width and height in return from uploadLocalFile so images are correctly identified when going through an AgentUpload in addImageURLs

* chore: remove client specific handling since the direct provider stuff is handled by the agent client

* feat: handle documents in AgentClient so no need for change to agents repo

* chore: removed unused changes

* chore: remove auto generated comments from OG commit

* feat: add logic for agents to use direct to provider uploads if supported (currently just anthropic)

* fix: reintroduce role check to fix render error because of undefined value for Content Part

* fix: actually fix render bug by using proper isCreatedByUser check and making sure our mutation of formattedMessage.content is consistent

---------

Co-authored-by: Andres Restrepo <andres@thelinuxkid.com>
Co-authored-by: Claude <noreply@anthropic.com>

api/server/services/Files/Local/crud.js

@@ -4,6 +4,7 @@ const axios = require('axios');
 const { logger } = require('@librechat/data-schemas');
 const { EModelEndpoint } = require('librechat-data-provider');
 const { generateShortLivedToken } = require('@librechat/api');
+const { resizeImageBuffer } = require('~/server/services/Files/images/resize');
 const { getBufferMetadata } = require('~/server/utils');
 const paths = require('~/config/paths');
 
@@ -286,7 +287,18 @@ async function uploadLocalFile({ req, file, file_id }) {
   await fs.promises.writeFile(newPath, inputBuffer);
   const filepath = path.posix.join('/', 'uploads', req.user.id, path.basename(newPath));
 
-  return { filepath, bytes };
+  let height, width;
+  if (file.mimetype && file.mimetype.startsWith('image/')) {
+    try {
+      const { width: imgWidth, height: imgHeight } = await resizeImageBuffer(inputBuffer, 'high');
+      height = imgHeight;
+      width = imgWidth;
+    } catch (error) {
+      logger.warn('[uploadLocalFile] Could not get image dimensions:', error.message);
+    }
+  }
+
+  return { filepath, bytes, height, width };
 }
 
 /**

api/server/services/Files/documents/encode.js

@@ -0,0 +1,164 @@
+const { EModelEndpoint } = require('librechat-data-provider');
+const { getStrategyFunctions } = require('~/server/services/Files/strategies');
+const { validateAnthropicPdf } = require('../validation/pdfValidator');
+
+/**
+ * Converts a readable stream to a buffer.
+ *
+ * @param {NodeJS.ReadableStream} stream - The readable stream to convert.
+ * @returns {Promise<Buffer>} - Promise resolving to the buffer.
+ */
+async function streamToBuffer(stream) {
+  return new Promise((resolve, reject) => {
+    const chunks = [];
+
+    stream.on('data', (chunk) => {
+      chunks.push(chunk);
+    });
+
+    stream.on('end', () => {
+      try {
+        const buffer = Buffer.concat(chunks);
+        chunks.length = 0;
+        resolve(buffer);
+      } catch (err) {
+        reject(err);
+      }
+    });
+
+    stream.on('error', (error) => {
+      chunks.length = 0;
+      reject(error);
+    });
+  }).finally(() => {
+    if (stream.destroy && typeof stream.destroy === 'function') {
+      stream.destroy();
+    }
+  });
+}
+
+/**
+ * Processes and encodes document files for various endpoints
+ *
+ * @param {Express.Request} req - Express request object
+ * @param {MongoFile[]} files - Array of file objects to process
+ * @param {string} endpoint - The endpoint identifier (e.g., EModelEndpoint.anthropic)
+ * @returns {Promise<{documents: MessageContentDocument[], files: MongoFile[]}>}
+ */
+async function encodeAndFormatDocuments(req, files, endpoint) {
+  const promises = [];
+  /** @type {Record<FileSources, Pick<ReturnType<typeof getStrategyFunctions>, 'prepareDocumentPayload' | 'getDownloadStream'>>} */
+  const encodingMethods = {};
+  /** @type {{ documents: MessageContentDocument[]; files: MongoFile[] }} */
+  const result = {
+    documents: [],
+    files: [],
+  };
+
+  if (!files || !files.length) {
+    return result;
+  }
+
+  const documentFiles = files.filter(
+    (file) => file.type === 'application/pdf' || file.type?.startsWith('application/'), // Future: support for other document types
+  );
+
+  if (!documentFiles.length) {
+    return result;
+  }
+
+  for (let file of documentFiles) {
+    /** @type {FileSources} */
+    const source = file.source ?? 'local';
+
+    if (file.type !== 'application/pdf' || endpoint !== EModelEndpoint.anthropic) {
+      continue;
+    }
+
+    if (!encodingMethods[source]) {
+      encodingMethods[source] = getStrategyFunctions(source);
+    }
+
+    const fileMetadata = {
+      file_id: file.file_id || file._id,
+      temp_file_id: file.temp_file_id,
+      filepath: file.filepath,
+      source: file.source,
+      filename: file.filename,
+      type: file.type,
+    };
+
+    promises.push([file, fileMetadata]);
+  }
+
+  const results = await Promise.allSettled(
+    promises.map(async ([file, fileMetadata]) => {
+      if (!file || !fileMetadata) {
+        return { file: null, content: null, metadata: fileMetadata };
+      }
+
+      try {
+        const source = file.source ?? 'local';
+        const { getDownloadStream } = encodingMethods[source];
+
+        const stream = await getDownloadStream(req, file.filepath);
+        const buffer = await streamToBuffer(stream);
+        const documentContent = buffer.toString('base64');
+
+        return {
+          file,
+          content: documentContent,
+          metadata: fileMetadata,
+        };
+      } catch (error) {
+        console.error(`Error processing document ${file.filename}:`, error);
+        return { file, content: null, metadata: fileMetadata };
+      }
+    }),
+  );
+
+  for (const settledResult of results) {
+    if (settledResult.status === 'rejected') {
+      console.error('Document processing failed:', settledResult.reason);
+      continue;
+    }
+
+    const { file, content, metadata } = settledResult.value;
+
+    if (!content || !file) {
+      if (metadata) {
+        result.files.push(metadata);
+      }
+      continue;
+    }
+
+    if (file.type === 'application/pdf' && endpoint === EModelEndpoint.anthropic) {
+      const pdfBuffer = Buffer.from(content, 'base64');
+      const validation = await validateAnthropicPdf(pdfBuffer, pdfBuffer.length);
+
+      if (!validation.isValid) {
+        throw new Error(`PDF validation failed: ${validation.error}`);
+      }
+
+      const documentPart = {
+        type: 'document',
+        source: {
+          type: 'base64',
+          media_type: 'application/pdf',
+          data: content,
+        },
+        cache_control: { type: 'ephemeral' },
+        citations: { enabled: true },
+      };
+
+      result.documents.push(documentPart);
+      result.files.push(metadata);
+    }
+  }
+
+  return result;
+}
+
+module.exports = {
+  encodeAndFormatDocuments,
+};

api/server/services/Files/documents/index.js

@@ -0,0 +1,5 @@
+const { encodeAndFormatDocuments } = require('./encode');
+
+module.exports = {
+  encodeAndFormatDocuments,
+};

api/server/services/Files/process.js

@@ -419,11 +419,11 @@ const processFileUpload = async ({ req, res, metadata }) => {
   const isAssistantUpload = isAssistantsEndpoint(metadata.endpoint);
   const assistantSource =
     metadata.endpoint === EModelEndpoint.azureAssistants ? FileSources.azure : FileSources.openai;
+
   // Use the configured file strategy for regular file uploads (not vectordb)
   const source = isAssistantUpload ? assistantSource : appConfig.fileStrategy;
   const { handleFileUpload } = getStrategyFunctions(source);
   const { file_id, temp_file_id = null } = metadata;
-
   /** @type {OpenAI | undefined} */
   let openai;
   if (checkOpenAIStorage(source)) {

api/server/services/Files/validation/pdfValidator.js

@@ -0,0 +1,72 @@
+const { logger } = require('~/config');
+const { anthropicPdfSizeLimit } = require('librechat-data-provider');
+
+/**
+ * Validates if a PDF meets Anthropic's requirements
+ * @param {Buffer} pdfBuffer - The PDF file as a buffer
+ * @param {number} fileSize - The file size in bytes
+ * @returns {Promise<{isValid: boolean, error?: string}>}
+ */
+async function validateAnthropicPdf(pdfBuffer, fileSize) {
+  try {
+    if (fileSize > anthropicPdfSizeLimit) {
+      return {
+        isValid: false,
+        error: `PDF file size (${Math.round(fileSize / (1024 * 1024))}MB) exceeds Anthropic's 32MB limit`,
+      };
+    }
+
+    if (!pdfBuffer || pdfBuffer.length < 5) {
+      return {
+        isValid: false,
+        error: 'Invalid PDF file: too small or corrupted',
+      };
+    }
+
+    const pdfHeader = pdfBuffer.subarray(0, 5).toString();
+    if (!pdfHeader.startsWith('%PDF-')) {
+      return {
+        isValid: false,
+        error: 'Invalid PDF file: missing PDF header',
+      };
+    }
+
+    const pdfContent = pdfBuffer.toString('binary');
+    if (
+      pdfContent.includes('/Encrypt ') ||
+      pdfContent.includes('/U (') ||
+      pdfContent.includes('/O (')
+    ) {
+      return {
+        isValid: false,
+        error: 'PDF is password-protected or encrypted. Anthropic requires unencrypted PDFs.',
+      };
+    }
+
+    const pageMatches = pdfContent.match(/\/Type[\s]*\/Page[^s]/g);
+    const estimatedPages = pageMatches ? pageMatches.length : 1;
+
+    if (estimatedPages > 100) {
+      return {
+        isValid: false,
+        error: `PDF has approximately ${estimatedPages} pages, exceeding Anthropic's 100-page limit`,
+      };
+    }
+
+    logger.debug(
+      `PDF validation passed: ${Math.round(fileSize / 1024)}KB, ~${estimatedPages} pages`,
+    );
+
+    return { isValid: true };
+  } catch (error) {
+    logger.error('PDF validation error:', error);
+    return {
+      isValid: false,
+      error: 'Failed to validate PDF file',
+    };
+  }
+}
+
+module.exports = {
+  validateAnthropicPdf,
+};