LibreChat/api/server/services/Files/images/encode.js
Danny Avila 9d854dac07
🤖 feat: Gemini 1.5 Support (+Vertex AI) (#2383)
* 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
2024-04-16 08:32:40 -04:00

136 lines
3.9 KiB
JavaScript

const axios = require('axios');
const { EModelEndpoint, FileSources, VisionModes } = require('librechat-data-provider');
const { getStrategyFunctions } = require('../strategies');
const { logger } = require('~/config');
/**
* Fetches an image from a URL and returns its base64 representation.
*
* @async
* @param {string} url The URL of the image.
* @returns {Promise<string>} The base64-encoded string of the image.
* @throws {Error} If there's an issue fetching the image or encoding it.
*/
async function fetchImageToBase64(url) {
try {
const response = await axios.get(url, {
responseType: 'arraybuffer',
});
return Buffer.from(response.data).toString('base64');
} catch (error) {
logger.error('Error fetching image to convert to base64', error);
throw error;
}
}
const base64Only = new Set([EModelEndpoint.google, EModelEndpoint.anthropic]);
/**
* Encodes and formats the given files.
* @param {Express.Request} req - The request object.
* @param {Array<MongoFile>} files - The array of files to encode and format.
* @param {EModelEndpoint} [endpoint] - Optional: The endpoint for the image.
* @param {string} [mode] - Optional: The endpoint mode for the image.
* @returns {Promise<Object>} - A promise that resolves to the result object containing the encoded images and file details.
*/
async function encodeAndFormat(req, files, endpoint, mode) {
const promises = [];
const encodingMethods = {};
const result = {
files: [],
image_urls: [],
};
if (!files || !files.length) {
return result;
}
for (let file of files) {
const source = file.source ?? FileSources.local;
if (!file.height) {
promises.push([file, null]);
continue;
}
if (!encodingMethods[source]) {
const { prepareImagePayload } = getStrategyFunctions(source);
if (!prepareImagePayload) {
throw new Error(`Encoding function not implemented for ${source}`);
}
encodingMethods[source] = prepareImagePayload;
}
const preparePayload = encodingMethods[source];
/* Google & Anthropic don't support passing URLs to payload */
if (source !== FileSources.local && base64Only.has(endpoint)) {
const [_file, imageURL] = await preparePayload(req, file);
promises.push([_file, await fetchImageToBase64(imageURL)]);
continue;
}
promises.push(preparePayload(req, file));
}
const detail = req.body.imageDetail ?? 'auto';
/** @type {Array<[MongoFile, string]>} */
const formattedImages = await Promise.all(promises);
for (const [file, imageContent] of formattedImages) {
const fileMetadata = {
type: file.type,
file_id: file.file_id,
filepath: file.filepath,
filename: file.filename,
embedded: !!file.embedded,
};
if (file.height && file.width) {
fileMetadata.height = file.height;
fileMetadata.width = file.width;
}
if (!imageContent) {
result.files.push(fileMetadata);
continue;
}
const imagePart = {
type: 'image_url',
image_url: {
url: imageContent.startsWith('http')
? imageContent
: `data:${file.type};base64,${imageContent}`,
detail,
},
};
if (endpoint && endpoint === EModelEndpoint.google && mode === VisionModes.generative) {
delete imagePart.image_url;
imagePart.inlineData = {
mimeType: file.type,
data: imageContent,
};
} else if (endpoint && endpoint === EModelEndpoint.google) {
imagePart.image_url = imagePart.image_url.url;
} else if (endpoint && endpoint === EModelEndpoint.anthropic) {
imagePart.type = 'image';
imagePart.source = {
type: 'base64',
media_type: file.type,
data: imageContent,
};
delete imagePart.image_url;
}
result.image_urls.push(imagePart);
result.files.push(fileMetadata);
}
return result;
}
module.exports = {
encodeAndFormat,
};