File size: 4,002 Bytes
aa2e6af | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 | 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, 'Ollama', 'ollama']);
/**
* 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,
};
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