LibreChat/api/server/services/ModelService.js
Danny Avila d7ef4590ea
🔧 Fix: Resolve Anthropic Client Issues 🧠 (#1226)
* fix: correct preset title for Anthropic endpoint

* fix(Settings/Anthropic): show correct default value for LLM temperature

* fix(AnthropicClient): use `getModelMaxTokens` to get the correct LLM max context tokens, correctly set default temperature to 1, use only 2 params for class constructor, use `getResponseSender` to add correct sender to response message

* refactor(/api/ask|edit/anthropic): save messages to database after the final response is sent to the client, and do not save conversation from route controller

* fix(initializeClient/anthropic): correctly pass client options (endpointOption) to class initialization

* feat(ModelService/Anthropic): add claude-1.2
2023-11-26 14:44:57 -05:00

137 lines
3.5 KiB
JavaScript

const HttpsProxyAgent = require('https-proxy-agent');
const axios = require('axios');
const Keyv = require('keyv');
const { isEnabled } = require('../utils');
const { extractBaseURL } = require('../../utils');
const keyvRedis = require('../../cache/keyvRedis');
// const { getAzureCredentials, genAzureChatCompletion } = require('../../utils/');
const { openAIApiKey, userProvidedOpenAI } = require('./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, 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);
// console.log(`Fetched ${models.length} models from ${opts.azure ? 'Azure ' : ''}OpenAI API`);
} catch (err) {
console.log(`Failed to fetch models from ${opts.azure ? 'Azure ' : ''}OpenAI API`);
}
}
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 = [
'claude-2.1',
'claude-2',
'claude-1.2',
'claude-1',
'claude-1-100k',
'claude-instant-1',
'claude-instant-1-100k',
];
if (ANTHROPIC_MODELS) {
models = String(ANTHROPIC_MODELS).split(',');
}
return models;
};
module.exports = {
getOpenAIModels,
getChatGPTBrowserModels,
getAnthropicModels,
};