📁 feat: Send Attachments Directly to Provider (OpenAI) (#9098)

* refactor: change references from direct upload to direct attach to better reflect functionality

since we are just using base64 encoding strategy now rather than Files/File API for sending our attachments directly to the provider, the upload nomenclature no longer makes sense. direct_attach better describes the different methods of sending attachments to providers anyways even if we later introduce direct upload support

* feat: add upload to provider option for openai (and agent) ui

* chore: move anthropic pdf validator over to packages/api

* feat: simple pdf validation according to openai docs

* feat: add provider agnostic validatePdf logic to start handling multiple endpoints

* feat: add handling for openai specific documentPart formatting

* refactor: move require statement to proper place at top of file

* chore: add in openAI endpoint for the rest of the document handling logic

* feat: add direct attach support for azureOpenAI endpoint and agents

* feat: add pdf validation for azureOpenAI endpoint

* refactor: unify all the endpoint checks with isDocumentSupportedEndpoint

* refactor: consolidate Upload to Provider vs Upload image logic for clarity

* refactor: remove anthropic from anthropic_multimodal fileType since we support multiple providers now
This commit is contained in:
Dustin Healy 2025-08-17 02:14:25 -07:00 committed by Dustin Healy
parent 89843262b2
commit b5aadf1302
10 changed files with 122 additions and 64 deletions

View file

@ -1,72 +0,0 @@
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,
};