LibreChat/api/server/services/ModelService.js
Danny Avila 0c326797dd
📸 feat: Gemini vision, Improved Logs and Multi-modal Handling (#1368)
* feat: add GOOGLE_MODELS env var

* feat: add gemini vision support

* refactor(GoogleClient): adjust clientOptions handling depending on model

* fix(logger): fix redact logic and redact errors only

* fix(GoogleClient): do not allow non-multiModal messages when gemini-pro-vision is selected

* refactor(OpenAIClient): use `isVisionModel` client property to avoid calling validateVisionModel multiple times

* refactor: better debug logging by correctly traversing, redacting sensitive info, and logging condensed versions of long values

* refactor(GoogleClient): allow response errors to be thrown/caught above client handling so user receives meaningful error message
debug orderedMessages, parentMessageId, and buildMessages result

* refactor(AskController): use model from client.modelOptions.model when saving intermediate messages, which requires for the progress callback to be initialized after the client is initialized

* feat(useSSE): revert to previous model if the model was auto-switched by backend due to message attachments

* docs: update with google updates, notes about Gemini Pro Vision

* fix: redis should not be initialized without USE_REDIS and increase max listeners to 20
2023-12-16 20:45:27 -05:00

149 lines
3.7 KiB
JavaScript

const Keyv = require('keyv');
const axios = require('axios');
const HttpsProxyAgent = require('https-proxy-agent');
const { EModelEndpoint, defaultModels } = require('librechat-data-provider');
const { isEnabled } = require('~/server/utils');
const keyvRedis = require('~/cache/keyvRedis');
const { extractBaseURL } = require('~/utils');
const { logger } = require('~/config');
// const { getAzureCredentials, genAzureChatCompletion } = require('~/utils/');
const { openAIApiKey, userProvidedOpenAI } = require('./Config/EndpointService').config;
const modelsCache = isEnabled(process.env.USE_REDIS)
? new Keyv({ store: keyvRedis })
: new Keyv({ namespace: 'models' });
const {
OPENROUTER_API_KEY,
OPENAI_REVERSE_PROXY,
CHATGPT_MODELS,
ANTHROPIC_MODELS,
GOOGLE_MODELS,
PROXY,
} = process.env ?? {};
const fetchOpenAIModels = async (opts = { azure: false, plugins: false }, _models = []) => {
let models = _models.slice() ?? [];
let apiKey = openAIApiKey;
let basePath = 'https://api.openai.com/v1';
let reverseProxyUrl = OPENAI_REVERSE_PROXY;
if (opts.azure) {
return models;
// const azure = getAzureCredentials();
// basePath = (genAzureChatCompletion(azure))
// .split('/deployments')[0]
// .concat(`/models?api-version=${azure.azureOpenAIApiVersion}`);
// apiKey = azureOpenAIApiKey;
} else if (OPENROUTER_API_KEY) {
reverseProxyUrl = 'https://openrouter.ai/api/v1';
apiKey = OPENROUTER_API_KEY;
}
if (reverseProxyUrl) {
basePath = extractBaseURL(reverseProxyUrl);
}
const cachedModels = await modelsCache.get(basePath);
if (cachedModels) {
return cachedModels;
}
if (basePath || opts.azure) {
try {
const payload = {
headers: {
Authorization: `Bearer ${apiKey}`,
},
};
if (PROXY) {
payload.httpsAgent = new HttpsProxyAgent(PROXY);
}
const res = await axios.get(`${basePath}${opts.azure ? '' : '/models'}`, payload);
models = res.data.data.map((item) => item.id);
// logger.debug(`Fetched ${models.length} models from ${opts.azure ? 'Azure ' : ''}OpenAI API`);
} catch (err) {
logger.error(`Failed to fetch models from ${opts.azure ? 'Azure ' : ''}OpenAI API`, err);
}
}
if (!reverseProxyUrl) {
const regex = /(text-davinci-003|gpt-)/;
models = models.filter((model) => regex.test(model));
}
await modelsCache.set(basePath, models);
return models;
};
const getOpenAIModels = async (opts = { azure: false, plugins: false }) => {
let models = [
'gpt-4',
'gpt-4-0613',
'gpt-3.5-turbo',
'gpt-3.5-turbo-16k',
'gpt-3.5-turbo-0613',
'gpt-3.5-turbo-0301',
];
if (!opts.plugins) {
models.push('text-davinci-003');
}
let key;
if (opts.azure) {
key = 'AZURE_OPENAI_MODELS';
} else if (opts.plugins) {
key = 'PLUGIN_MODELS';
} else {
key = 'OPENAI_MODELS';
}
if (process.env[key]) {
models = String(process.env[key]).split(',');
return models;
}
if (userProvidedOpenAI && !OPENROUTER_API_KEY) {
return models;
}
return await fetchOpenAIModels(opts, models);
};
const getChatGPTBrowserModels = () => {
let models = ['text-davinci-002-render-sha', 'gpt-4'];
if (CHATGPT_MODELS) {
models = String(CHATGPT_MODELS).split(',');
}
return models;
};
const getAnthropicModels = () => {
let models = defaultModels[EModelEndpoint.anthropic];
if (ANTHROPIC_MODELS) {
models = String(ANTHROPIC_MODELS).split(',');
}
return models;
};
const getGoogleModels = () => {
let models = defaultModels[EModelEndpoint.google];
if (GOOGLE_MODELS) {
models = String(GOOGLE_MODELS).split(',');
}
return models;
};
module.exports = {
getOpenAIModels,
getChatGPTBrowserModels,
getAnthropicModels,
getGoogleModels,
};