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https://github.com/danny-avila/LibreChat.git
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* WIP: gemini-1.5 support * feat: extended vertex ai support * fix: handle possibly undefined modelName * fix: gpt-4-turbo-preview invalid vision model * feat: specify `fileConfig.imageOutputType` and make PNG default image conversion type * feat: better truncation for errors including base64 strings * fix: gemini inlineData formatting * feat: RAG augmented prompt for gemini-1.5 * feat: gemini-1.5 rates and token window * chore: adjust tokens, update docs, update vision Models * chore: add back `ChatGoogleVertexAI` for chat models via vertex ai * refactor: ask/edit controllers to not use `unfinished` field for google endpoint * chore: remove comment * chore(ci): fix AppService test * chore: remove comment * refactor(GoogleSearch): use `GOOGLE_SEARCH_API_KEY` instead, issue warning for old variable * chore: bump data-provider to 0.5.4 * chore: update docs * fix: condition for gemini-1.5 using generative ai lib * chore: update docs * ci: add additional AppService test for `imageOutputType` * refactor: optimize new config value `imageOutputType` * chore: bump CONFIG_VERSION * fix(assistants): avatar upload
88 lines
3.8 KiB
JavaScript
88 lines
3.8 KiB
JavaScript
const sharp = require('sharp');
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const { EModelEndpoint } = require('librechat-data-provider');
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/**
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* Resizes an image from a given buffer based on the specified resolution.
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*
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* @param {Buffer} inputBuffer - The buffer of the image to be resized.
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* @param {'low' | 'high'} resolution - The resolution to resize the image to.
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* 'low' for a maximum of 512x512 resolution,
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* 'high' for a maximum of 768x2000 resolution.
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* @param {EModelEndpoint} endpoint - Identifier for specific endpoint handling
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* @returns {Promise<{buffer: Buffer, width: number, height: number}>} An object containing the resized image buffer and its dimensions.
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* @throws Will throw an error if the resolution parameter is invalid.
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*/
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async function resizeImageBuffer(inputBuffer, resolution, endpoint) {
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const maxLowRes = 512;
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const maxShortSideHighRes = 768;
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const maxLongSideHighRes = endpoint === EModelEndpoint.anthropic ? 1568 : 2000;
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let newWidth, newHeight;
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let resizeOptions = { fit: 'inside', withoutEnlargement: true };
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if (resolution === 'low') {
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resizeOptions.width = maxLowRes;
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resizeOptions.height = maxLowRes;
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} else if (resolution === 'high') {
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const metadata = await sharp(inputBuffer).metadata();
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const isWidthShorter = metadata.width < metadata.height;
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if (isWidthShorter) {
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// Width is the shorter side
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newWidth = Math.min(metadata.width, maxShortSideHighRes);
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// Calculate new height to maintain aspect ratio
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newHeight = Math.round((metadata.height / metadata.width) * newWidth);
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// Ensure the long side does not exceed the maximum allowed
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if (newHeight > maxLongSideHighRes) {
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newHeight = maxLongSideHighRes;
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newWidth = Math.round((metadata.width / metadata.height) * newHeight);
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}
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} else {
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// Height is the shorter side
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newHeight = Math.min(metadata.height, maxShortSideHighRes);
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// Calculate new width to maintain aspect ratio
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newWidth = Math.round((metadata.width / metadata.height) * newHeight);
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// Ensure the long side does not exceed the maximum allowed
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if (newWidth > maxLongSideHighRes) {
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newWidth = maxLongSideHighRes;
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newHeight = Math.round((metadata.height / metadata.width) * newWidth);
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}
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}
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resizeOptions.width = newWidth;
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resizeOptions.height = newHeight;
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} else {
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throw new Error('Invalid resolution parameter');
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}
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const resizedBuffer = await sharp(inputBuffer).rotate().resize(resizeOptions).toBuffer();
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const resizedMetadata = await sharp(resizedBuffer).metadata();
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return { buffer: resizedBuffer, width: resizedMetadata.width, height: resizedMetadata.height };
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}
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/**
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* Resizes an image buffer to a specified format and width.
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*
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* @param {Object} options - The options for resizing and converting the image.
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* @param {Buffer} options.inputBuffer - The buffer of the image to be resized.
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* @param {string} options.desiredFormat - The desired output format of the image.
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* @param {number} [options.width=150] - The desired width of the image. Defaults to 150 pixels.
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* @returns {Promise<{ buffer: Buffer, width: number, height: number, bytes: number }>} An object containing the resized image buffer, its size, and dimensions.
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* @throws Will throw an error if the resolution or format parameters are invalid.
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*/
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async function resizeAndConvert({ inputBuffer, desiredFormat, width = 150 }) {
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const resizedBuffer = await sharp(inputBuffer)
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.resize({ width })
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.toFormat(desiredFormat)
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.toBuffer();
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const resizedMetadata = await sharp(resizedBuffer).metadata();
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return {
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buffer: resizedBuffer,
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width: resizedMetadata.width,
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height: resizedMetadata.height,
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bytes: Buffer.byteLength(resizedBuffer),
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};
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}
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module.exports = { resizeImageBuffer, resizeAndConvert };
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