LibreChat/api/server/services/Endpoints/openAI/initializeClient.js
Danny Avila 5cd5c3bef8
🅰️ feat: Azure OpenAI Assistants API Support (#1992)
* chore: rename dir from `assistant` to plural

* feat: `assistants` field for azure config, spread options in AppService

* refactor: rename constructAzureURL param for azure as `azureOptions`

* chore: bump openai and bun

* chore(loadDefaultModels): change naming of assistant -> assistants

* feat: load azure settings with currect baseURL for assistants' initializeClient

* refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig

* feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled

* feat(AppService): determine assistant models on startup, throw Error if none

* refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations

* feat: support listing and deleting assistants with azure

* feat: add model query to assistant avatar upload

* feat: add azure support for retrieveRun method

* refactor: update OpenAIClient initialization

* chore: update README

* fix(ci): tests passing

* refactor(uploadOpenAIFile): improve logging and use more efficient REST API method

* refactor(useFileHandling): add model to metadata to target Azure region compatible with current model

* chore(files): add azure naming pattern for valid file id recognition

* fix(assistants): initialize openai with first available assistant model if none provided

* refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options

* refactor(sleep): move sleep function out of Runs and into `~/server/utils`

* fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled

* refactor(uploadOpenAIFile): revert to old method

* chore(uploadOpenAIFile): use enum for file purpose

* docs: azureOpenAI update guide with more info, examples

* feat: enable/disable assistant capabilities and specify retrieval models

* refactor: optional chain conditional statement in loadConfigModels.js

* docs: add assistants examples

* chore: update librechat.example.yaml

* docs(azure): update note of file upload behavior in Azure OpenAI Assistants

* chore: update docs and add descriptive message about assistant errors

* fix: prevent message submission with invalid assistant or if files loading

* style: update Landing icon & text when assistant is not selected

* chore: bump librechat-data-provider to 0.4.8

* fix(assistants/azure): assign req.body.model for proper azure init to abort runs
2024-03-14 17:21:42 -04:00

113 lines
3.5 KiB
JavaScript

const {
EModelEndpoint,
resolveHeaders,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
const { isEnabled, isUserProvided } = require('~/server/utils');
const { getAzureCredentials } = require('~/utils');
const { OpenAIClient } = require('~/app');
const initializeClient = async ({ req, res, endpointOption }) => {
const {
PROXY,
OPENAI_API_KEY,
AZURE_API_KEY,
OPENAI_REVERSE_PROXY,
AZURE_OPENAI_BASEURL,
OPENAI_SUMMARIZE,
DEBUG_OPENAI,
} = process.env;
const { key: expiresAt, endpoint, model: modelName } = req.body;
const contextStrategy = isEnabled(OPENAI_SUMMARIZE) ? 'summarize' : null;
const credentials = {
[EModelEndpoint.openAI]: OPENAI_API_KEY,
[EModelEndpoint.azureOpenAI]: AZURE_API_KEY,
};
const baseURLOptions = {
[EModelEndpoint.openAI]: OPENAI_REVERSE_PROXY,
[EModelEndpoint.azureOpenAI]: AZURE_OPENAI_BASEURL,
};
const userProvidesKey = isUserProvided(credentials[endpoint]);
const userProvidesURL = isUserProvided(baseURLOptions[endpoint]);
let userValues = null;
if (expiresAt && (userProvidesKey || userProvidesURL)) {
checkUserKeyExpiry(
expiresAt,
'Your OpenAI API values have expired. Please provide them again.',
);
userValues = await getUserKey({ userId: req.user.id, name: endpoint });
try {
userValues = JSON.parse(userValues);
} catch (e) {
throw new Error(
`Invalid JSON provided for ${endpoint} user values. Please provide them again.`,
);
}
}
let apiKey = userProvidesKey ? userValues?.apiKey : credentials[endpoint];
let baseURL = userProvidesURL ? userValues?.baseURL : baseURLOptions[endpoint];
const clientOptions = {
debug: isEnabled(DEBUG_OPENAI),
contextStrategy,
reverseProxyUrl: baseURL ? baseURL : null,
proxy: PROXY ?? null,
req,
res,
...endpointOption,
};
const isAzureOpenAI = endpoint === EModelEndpoint.azureOpenAI;
/** @type {false | TAzureConfig} */
const azureConfig = isAzureOpenAI && req.app.locals[EModelEndpoint.azureOpenAI];
if (isAzureOpenAI && azureConfig) {
const { modelGroupMap, groupMap } = azureConfig;
const {
azureOptions,
baseURL,
headers = {},
serverless,
} = mapModelToAzureConfig({
modelName,
modelGroupMap,
groupMap,
});
clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
clientOptions.headers = resolveHeaders({ ...headers, ...(clientOptions.headers ?? {}) });
clientOptions.titleConvo = azureConfig.titleConvo;
clientOptions.titleModel = azureConfig.titleModel;
clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
const groupName = modelGroupMap[modelName].group;
clientOptions.addParams = azureConfig.groupMap[groupName].addParams;
clientOptions.dropParams = azureConfig.groupMap[groupName].dropParams;
clientOptions.forcePrompt = azureConfig.groupMap[groupName].forcePrompt;
apiKey = azureOptions.azureOpenAIApiKey;
clientOptions.azure = !serverless && azureOptions;
} else if (isAzureOpenAI) {
clientOptions.azure = userProvidesKey ? JSON.parse(userValues.apiKey) : getAzureCredentials();
apiKey = clientOptions.azure.azureOpenAIApiKey;
}
if (!apiKey) {
throw new Error(`${endpoint} API key not provided. Please provide it again.`);
}
const client = new OpenAIClient(apiKey, clientOptions);
return {
client,
openAIApiKey: apiKey,
};
};
module.exports = initializeClient;