🤖 Assistants V2 Support: Part 1

- Separated Azure Assistants to its own endpoint
- File Search / Vector Store integration is incomplete, but can toggle and use storage from playground
- Code Interpreter resource files can be added but not deleted
- GPT-4o is supported
- Many improvements to the Assistants Endpoint overall

data-provider v2 changes

copy existing route as v1

chore: rename new endpoint to reduce comparison operations and add new azure filesource

api: add azureAssistants part 1

force use of version for assistants/assistantsAzure

chore: switch name back to azureAssistants

refactor type version: string | number

Ensure assistants endpoints have version set

fix: isArchived type issue in ConversationListParams

refactor: update assistants mutations/queries with endpoint/version definitions, update Assistants Map structure

chore:  FilePreview component ExtendedFile type assertion

feat: isAssistantsEndpoint helper

chore: remove unused useGenerations

chore(buildTree): type issue

chore(Advanced): type issue (unused component, maybe in future)

first pass for multi-assistant endpoint rewrite

fix(listAssistants): pass params correctly

feat: list separate assistants by endpoint

fix(useTextarea): access assistantMap correctly

fix: assistant endpoint switching, resetting ID

fix: broken during rewrite, selecting assistant mention

fix: set/invalidate assistants endpoint query data correctly

feat: Fix issue with assistant ID not being reset correctly

getOpenAIClient helper function

feat: add toast for assistant deletion

fix: assistants delete right after create issue for azure

fix: assistant patching

refactor: actions to use getOpenAIClient

refactor: consolidate logic into helpers file

fix: issue where conversation data was not initially available

v1 chat support

refactor(spendTokens): only early return if completionTokens isNaN

fix(OpenAIClient): ensure spendTokens has all necessary params

refactor: route/controller logic

fix(assistants/initializeClient): use defaultHeaders field

fix: sanitize default operation id

chore: bump openai package

first pass v2 action service

feat: retroactive domain parsing for actions added via v1

feat: delete db records of actions/assistants on openai assistant deletion

chore: remove vision tools from v2 assistants

feat: v2 upload and delete assistant vision images

WIP first pass, thread attachments

fix: show assistant vision files (save local/firebase copy)

v2 image continue

fix: annotations

fix: refine annotations

show analyze as error if is no longer submitting before progress reaches 1 and show file_search as retrieval tool

fix: abort run, undefined endpoint issue

refactor: consolidate capabilities logic and anticipate versioning

frontend version 2 changes

fix: query selection and filter

add endpoint to unknown filepath

add file ids to resource, deleting in progress

enable/disable file search

remove version log
This commit is contained in:
Danny Avila 2024-05-14 13:36:33 -04:00
parent f0e8cca5df
commit 2bdbff5141
No known key found for this signature in database
GPG key ID: 2DD9CC89B9B50364
118 changed files with 3358 additions and 1039 deletions

View file

@ -756,6 +756,8 @@ class OpenAIClient extends BaseClient {
* In case of failure, it will return the default title, "New Chat".
*/
async titleConvo({ text, conversationId, responseText = '' }) {
this.conversationId = conversationId;
if (this.options.attachments) {
delete this.options.attachments;
}
@ -838,13 +840,17 @@ ${convo}
try {
let useChatCompletion = true;
if (this.options.reverseProxyUrl === CohereConstants.API_URL) {
useChatCompletion = false;
}
title = (
await this.sendPayload(instructionsPayload, { modelOptions, useChatCompletion })
).replaceAll('"', '');
const completionTokens = this.getTokenCount(title);
this.recordTokenUsage({ promptTokens, completionTokens, context: 'title' });
} catch (e) {
logger.error(
@ -868,6 +874,7 @@ ${convo}
context: 'title',
tokenBuffer: 150,
});
title = await runTitleChain({ llm, text, convo, signal: this.abortController.signal });
} catch (e) {
if (e?.message?.toLowerCase()?.includes('abort')) {
@ -1005,9 +1012,9 @@ ${convo}
await spendTokens(
{
context,
user: this.user,
model: this.modelOptions.model,
conversationId: this.conversationId,
user: this.user ?? this.options.req.user.id,
endpointTokenConfig: this.options.endpointTokenConfig,
},
{ promptTokens, completionTokens },

View file

@ -62,8 +62,24 @@ const deleteAction = async (searchParams, session = null) => {
return await Action.findOneAndDelete(searchParams, options).lean();
};
module.exports = {
updateAction,
getActions,
deleteAction,
/**
* Deletes actions by params, within a transaction session if provided.
*
* @param {Object} searchParams - The search parameters to find the actions to delete.
* @param {string} searchParams.action_id - The ID of the action(s) to delete.
* @param {string} searchParams.user - The user ID of the action's author.
* @param {mongoose.ClientSession} [session] - The transaction session to use (optional).
* @returns {Promise<Number>} A promise that resolves to the number of deleted action documents.
*/
const deleteActions = async (searchParams, session = null) => {
const options = session ? { session } : {};
const result = await Action.deleteMany(searchParams, options);
return result.deletedCount;
};
module.exports = {
getActions,
updateAction,
deleteAction,
deleteActions,
};

View file

@ -39,8 +39,21 @@ const getAssistants = async (searchParams) => {
return await Assistant.find(searchParams).lean();
};
/**
* Deletes an assistant based on the provided ID.
*
* @param {Object} searchParams - The search parameters to find the assistant to delete.
* @param {string} searchParams.assistant_id - The ID of the assistant to delete.
* @param {string} searchParams.user - The user ID of the assistant's author.
* @returns {Promise<void>} Resolves when the assistant has been successfully deleted.
*/
const deleteAssistant = async (searchParams) => {
return await Assistant.findOneAndDelete(searchParams);
};
module.exports = {
updateAssistant,
deleteAssistant,
getAssistants,
getAssistant,
};

View file

@ -40,7 +40,7 @@ const spendTokens = async (txData, tokenUsage) => {
});
}
if (!completionTokens) {
if (!completionTokens && isNaN(completionTokens)) {
logger.debug('[spendTokens] !completionTokens', { prompt, completion });
return;
}

View file

@ -76,7 +76,7 @@
"nodejs-gpt": "^1.37.4",
"nodemailer": "^6.9.4",
"ollama": "^0.5.0",
"openai": "4.36.0",
"openai": "^4.47.1",
"openai-chat-tokens": "^0.2.8",
"openid-client": "^5.4.2",
"passport": "^0.6.0",

View file

@ -16,10 +16,28 @@ async function endpointController(req, res) {
/** @type {TEndpointsConfig} */
const mergedConfig = { ...defaultEndpointsConfig, ...customConfigEndpoints };
if (mergedConfig[EModelEndpoint.assistants] && req.app.locals?.[EModelEndpoint.assistants]) {
const { disableBuilder, retrievalModels, capabilities, ..._rest } =
const { disableBuilder, retrievalModels, capabilities, version, ..._rest } =
req.app.locals[EModelEndpoint.assistants];
mergedConfig[EModelEndpoint.assistants] = {
...mergedConfig[EModelEndpoint.assistants],
version,
retrievalModels,
disableBuilder,
capabilities,
};
}
if (
mergedConfig[EModelEndpoint.azureAssistants] &&
req.app.locals?.[EModelEndpoint.azureAssistants]
) {
const { disableBuilder, retrievalModels, capabilities, version, ..._rest } =
req.app.locals[EModelEndpoint.azureAssistants];
mergedConfig[EModelEndpoint.azureAssistants] = {
...mergedConfig[EModelEndpoint.azureAssistants],
version,
retrievalModels,
disableBuilder,
capabilities,

View file

@ -1,5 +1,4 @@
const { v4 } = require('uuid');
const express = require('express');
const {
Constants,
RunStatus,
@ -21,27 +20,18 @@ const {
} = require('~/server/services/Threads');
const { sendResponse, sendMessage, sleep, isEnabled, countTokens } = require('~/server/utils');
const { runAssistant, createOnTextProgress } = require('~/server/services/AssistantService');
const { addTitle, initializeClient } = require('~/server/services/Endpoints/assistants');
const { formatMessage, createVisionPrompt } = require('~/app/clients/prompts');
const { createRun, StreamRunManager } = require('~/server/services/Runs');
const { addTitle } = require('~/server/services/Endpoints/assistants');
const { getTransactions } = require('~/models/Transaction');
const checkBalance = require('~/models/checkBalance');
const { getConvo } = require('~/models/Conversation');
const getLogStores = require('~/cache/getLogStores');
const { getModelMaxTokens } = require('~/utils');
const { getOpenAIClient } = require('./helpers');
const { logger } = require('~/config');
const router = express.Router();
const {
setHeaders,
handleAbort,
validateModel,
handleAbortError,
// validateEndpoint,
buildEndpointOption,
} = require('~/server/middleware');
router.post('/abort', handleAbort());
const { handleAbortError } = require('~/server/middleware');
const ten_minutes = 1000 * 60 * 10;
@ -49,16 +39,17 @@ const ten_minutes = 1000 * 60 * 10;
* @route POST /
* @desc Chat with an assistant
* @access Public
* @param {express.Request} req - The request object, containing the request data.
* @param {express.Response} res - The response object, used to send back a response.
* @param {Express.Request} req - The request object, containing the request data.
* @param {Express.Response} res - The response object, used to send back a response.
* @returns {void}
*/
router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res) => {
const chatV2 = async (req, res) => {
logger.debug('[/assistants/chat/] req.body', req.body);
const {
text,
model,
endpoint,
files = [],
promptPrefix,
assistant_id,
@ -70,7 +61,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
} = req.body;
/** @type {Partial<TAssistantEndpoint>} */
const assistantsConfig = req.app.locals?.[EModelEndpoint.assistants];
const assistantsConfig = req.app.locals?.[endpoint];
if (assistantsConfig) {
const { supportedIds, excludedIds } = assistantsConfig;
@ -138,7 +129,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
user: req.user.id,
shouldSaveMessage: false,
messageId: responseMessageId,
endpoint: EModelEndpoint.assistants,
endpoint,
};
if (error.message === 'Run cancelled') {
@ -149,7 +140,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
logger.debug('[/assistants/chat/] Request aborted on close');
} else if (/Files.*are invalid/.test(error.message)) {
const errorMessage = `Files are invalid, or may not have uploaded yet.${
req.app.locals?.[EModelEndpoint.azureOpenAI].assistants
endpoint === EModelEndpoint.azureAssistants
? ' If using Azure OpenAI, files are only available in the region of the assistant\'s model at the time of upload.'
: ''
}`;
@ -205,6 +196,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
const runMessages = await checkMessageGaps({
openai,
run_id,
endpoint,
thread_id,
conversationId,
latestMessageId: responseMessageId,
@ -311,8 +303,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
});
};
/** @type {{ openai: OpenAIClient }} */
const { openai: _openai, client } = await initializeClient({
const { openai: _openai, client } = await getOpenAIClient({
req,
res,
endpointOption: req.body.endpointOption,
@ -467,6 +458,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
assistant_id,
thread_id,
model: assistant_id,
endpoint,
};
previousMessages.push(requestMessage);
@ -476,7 +468,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
conversation = {
conversationId,
endpoint: EModelEndpoint.assistants,
endpoint,
promptPrefix: promptPrefix,
instructions: instructions,
assistant_id,
@ -513,7 +505,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
let response;
const processRun = async (retry = false) => {
if (req.app.locals[EModelEndpoint.azureOpenAI]?.assistants) {
if (endpoint === EModelEndpoint.azureAssistants) {
body.model = openai._options.model;
openai.attachedFileIds = attachedFileIds;
openai.visionPromise = visionPromise;
@ -603,6 +595,7 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
assistant_id,
thread_id,
model: assistant_id,
endpoint,
};
sendMessage(res, {
@ -655,6 +648,6 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
} catch (error) {
await handleError(error);
}
});
};
module.exports = router;
module.exports = chatV2;

View file

@ -0,0 +1,618 @@
const { v4 } = require('uuid');
const {
Constants,
RunStatus,
CacheKeys,
ContentTypes,
ToolCallTypes,
EModelEndpoint,
ViolationTypes,
retrievalMimeTypes,
AssistantStreamEvents,
} = require('librechat-data-provider');
const {
initThread,
recordUsage,
saveUserMessage,
checkMessageGaps,
addThreadMetadata,
saveAssistantMessage,
} = require('~/server/services/Threads');
const { sendResponse, sendMessage, sleep, isEnabled, countTokens } = require('~/server/utils');
const { runAssistant, createOnTextProgress } = require('~/server/services/AssistantService');
const { createRun, StreamRunManager } = require('~/server/services/Runs');
const { addTitle } = require('~/server/services/Endpoints/assistants');
const { getTransactions } = require('~/models/Transaction');
const checkBalance = require('~/models/checkBalance');
const { getConvo } = require('~/models/Conversation');
const getLogStores = require('~/cache/getLogStores');
const { getModelMaxTokens } = require('~/utils');
const { getOpenAIClient } = require('./helpers');
const { logger } = require('~/config');
const { handleAbortError } = require('~/server/middleware');
const ten_minutes = 1000 * 60 * 10;
/**
* @route POST /
* @desc Chat with an assistant
* @access Public
* @param {Express.Request} req - The request object, containing the request data.
* @param {Express.Response} res - The response object, used to send back a response.
* @returns {void}
*/
const chatV2 = async (req, res) => {
logger.debug('[/assistants/chat/] req.body', req.body);
/** @type {{ files: MongoFile[]}} */
const {
text,
model,
endpoint,
files = [],
promptPrefix,
assistant_id,
instructions,
thread_id: _thread_id,
messageId: _messageId,
conversationId: convoId,
parentMessageId: _parentId = Constants.NO_PARENT,
} = req.body;
/** @type {Partial<TAssistantEndpoint>} */
const assistantsConfig = req.app.locals?.[endpoint];
if (assistantsConfig) {
const { supportedIds, excludedIds } = assistantsConfig;
const error = { message: 'Assistant not supported' };
if (supportedIds?.length && !supportedIds.includes(assistant_id)) {
return await handleAbortError(res, req, error, {
sender: 'System',
conversationId: convoId,
messageId: v4(),
parentMessageId: _messageId,
error,
});
} else if (excludedIds?.length && excludedIds.includes(assistant_id)) {
return await handleAbortError(res, req, error, {
sender: 'System',
conversationId: convoId,
messageId: v4(),
parentMessageId: _messageId,
});
}
}
/** @type {OpenAIClient} */
let openai;
/** @type {string|undefined} - the current thread id */
let thread_id = _thread_id;
/** @type {string|undefined} - the current run id */
let run_id;
/** @type {string|undefined} - the parent messageId */
let parentMessageId = _parentId;
/** @type {TMessage[]} */
let previousMessages = [];
/** @type {import('librechat-data-provider').TConversation | null} */
let conversation = null;
/** @type {string[]} */
let file_ids = [];
/** @type {Set<string>} */
let attachedFileIds = new Set();
/** @type {TMessage | null} */
let requestMessage = null;
const userMessageId = v4();
const responseMessageId = v4();
/** @type {string} - The conversation UUID - created if undefined */
const conversationId = convoId ?? v4();
const cache = getLogStores(CacheKeys.ABORT_KEYS);
const cacheKey = `${req.user.id}:${conversationId}`;
/** @type {Run | undefined} - The completed run, undefined if incomplete */
let completedRun;
const handleError = async (error) => {
const defaultErrorMessage =
'The Assistant run failed to initialize. Try sending a message in a new conversation.';
const messageData = {
thread_id,
assistant_id,
conversationId,
parentMessageId,
sender: 'System',
user: req.user.id,
shouldSaveMessage: false,
messageId: responseMessageId,
endpoint,
};
if (error.message === 'Run cancelled') {
return res.end();
} else if (error.message === 'Request closed' && completedRun) {
return;
} else if (error.message === 'Request closed') {
logger.debug('[/assistants/chat/] Request aborted on close');
} else if (/Files.*are invalid/.test(error.message)) {
const errorMessage = `Files are invalid, or may not have uploaded yet.${
endpoint === EModelEndpoint.azureAssistants
? ' If using Azure OpenAI, files are only available in the region of the assistant\'s model at the time of upload.'
: ''
}`;
return sendResponse(res, messageData, errorMessage);
} else if (error?.message?.includes('string too long')) {
return sendResponse(
res,
messageData,
'Message too long. The Assistants API has a limit of 32,768 characters per message. Please shorten it and try again.',
);
} else if (error?.message?.includes(ViolationTypes.TOKEN_BALANCE)) {
return sendResponse(res, messageData, error.message);
} else {
logger.error('[/assistants/chat/]', error);
}
if (!openai || !thread_id || !run_id) {
return sendResponse(res, messageData, defaultErrorMessage);
}
await sleep(2000);
try {
const status = await cache.get(cacheKey);
if (status === 'cancelled') {
logger.debug('[/assistants/chat/] Run already cancelled');
return res.end();
}
await cache.delete(cacheKey);
const cancelledRun = await openai.beta.threads.runs.cancel(thread_id, run_id);
logger.debug('[/assistants/chat/] Cancelled run:', cancelledRun);
} catch (error) {
logger.error('[/assistants/chat/] Error cancelling run', error);
}
await sleep(2000);
let run;
try {
run = await openai.beta.threads.runs.retrieve(thread_id, run_id);
await recordUsage({
...run.usage,
model: run.model,
user: req.user.id,
conversationId,
});
} catch (error) {
logger.error('[/assistants/chat/] Error fetching or processing run', error);
}
let finalEvent;
try {
const runMessages = await checkMessageGaps({
openai,
run_id,
endpoint,
thread_id,
conversationId,
latestMessageId: responseMessageId,
});
const errorContentPart = {
text: {
value:
error?.message ?? 'There was an error processing your request. Please try again later.',
},
type: ContentTypes.ERROR,
};
if (!Array.isArray(runMessages[runMessages.length - 1]?.content)) {
runMessages[runMessages.length - 1].content = [errorContentPart];
} else {
const contentParts = runMessages[runMessages.length - 1].content;
for (let i = 0; i < contentParts.length; i++) {
const currentPart = contentParts[i];
/** @type {CodeToolCall | RetrievalToolCall | FunctionToolCall | undefined} */
const toolCall = currentPart?.[ContentTypes.TOOL_CALL];
if (
toolCall &&
toolCall?.function &&
!(toolCall?.function?.output || toolCall?.function?.output?.length)
) {
contentParts[i] = {
...currentPart,
[ContentTypes.TOOL_CALL]: {
...toolCall,
function: {
...toolCall.function,
output: 'error processing tool',
},
},
};
}
}
runMessages[runMessages.length - 1].content.push(errorContentPart);
}
finalEvent = {
final: true,
conversation: await getConvo(req.user.id, conversationId),
runMessages,
};
} catch (error) {
logger.error('[/assistants/chat/] Error finalizing error process', error);
return sendResponse(res, messageData, 'The Assistant run failed');
}
return sendResponse(res, finalEvent);
};
try {
res.on('close', async () => {
if (!completedRun) {
await handleError(new Error('Request closed'));
}
});
if (convoId && !_thread_id) {
completedRun = true;
throw new Error('Missing thread_id for existing conversation');
}
if (!assistant_id) {
completedRun = true;
throw new Error('Missing assistant_id');
}
const checkBalanceBeforeRun = async () => {
if (!isEnabled(process.env.CHECK_BALANCE)) {
return;
}
const transactions =
(await getTransactions({
user: req.user.id,
context: 'message',
conversationId,
})) ?? [];
const totalPreviousTokens = Math.abs(
transactions.reduce((acc, curr) => acc + curr.rawAmount, 0),
);
// TODO: make promptBuffer a config option; buffer for titles, needs buffer for system instructions
const promptBuffer = parentMessageId === Constants.NO_PARENT && !_thread_id ? 200 : 0;
// 5 is added for labels
let promptTokens = (await countTokens(text + (promptPrefix ?? ''))) + 5;
promptTokens += totalPreviousTokens + promptBuffer;
// Count tokens up to the current context window
promptTokens = Math.min(promptTokens, getModelMaxTokens(model));
await checkBalance({
req,
res,
txData: {
model,
user: req.user.id,
tokenType: 'prompt',
amount: promptTokens,
},
});
};
const { openai: _openai, client } = await getOpenAIClient({
req,
res,
endpointOption: req.body.endpointOption,
initAppClient: true,
});
openai = _openai;
if (previousMessages.length) {
parentMessageId = previousMessages[previousMessages.length - 1].messageId;
}
let userMessage = {
role: 'user',
content: [
{
type: ContentTypes.TEXT,
text,
},
],
metadata: {
messageId: userMessageId,
},
};
/** @type {CreateRunBody | undefined} */
const body = {
assistant_id,
model,
};
if (promptPrefix) {
body.additional_instructions = promptPrefix;
}
if (instructions) {
body.instructions = instructions;
}
const getRequestFileIds = async () => {
let thread_file_ids = [];
if (convoId) {
const convo = await getConvo(req.user.id, convoId);
if (convo && convo.file_ids) {
thread_file_ids = convo.file_ids;
}
}
if (files.length || thread_file_ids.length) {
attachedFileIds = new Set([...file_ids, ...thread_file_ids]);
let attachmentIndex = 0;
for (const file of files) {
file_ids.push(file.file_id);
if (file.type.startsWith('image')) {
userMessage.content.push({
type: ContentTypes.IMAGE_FILE,
[ContentTypes.IMAGE_FILE]: { file_id: file.file_id },
});
}
if (!userMessage.attachments) {
userMessage.attachments = [];
}
userMessage.attachments.push({
file_id: file.file_id,
tools: [{ type: ToolCallTypes.CODE_INTERPRETER }],
});
if (file.type.startsWith('image')) {
continue;
}
const mimeType = file.type;
const isSupportedByRetrieval = retrievalMimeTypes.some((regex) => regex.test(mimeType));
if (isSupportedByRetrieval) {
userMessage.attachments[attachmentIndex].tools.push({
type: ToolCallTypes.FILE_SEARCH,
});
}
attachmentIndex++;
}
}
};
const initializeThread = async () => {
await getRequestFileIds();
// TODO: may allow multiple messages to be created beforehand in a future update
const initThreadBody = {
messages: [userMessage],
metadata: {
user: req.user.id,
conversationId,
},
};
const result = await initThread({ openai, body: initThreadBody, thread_id });
thread_id = result.thread_id;
createOnTextProgress({
openai,
conversationId,
userMessageId,
messageId: responseMessageId,
thread_id,
});
requestMessage = {
user: req.user.id,
text,
messageId: userMessageId,
parentMessageId,
// TODO: make sure client sends correct format for `files`, use zod
files,
file_ids,
conversationId,
isCreatedByUser: true,
assistant_id,
thread_id,
model: assistant_id,
endpoint,
};
previousMessages.push(requestMessage);
/* asynchronous */
saveUserMessage({ ...requestMessage, model });
conversation = {
conversationId,
endpoint,
promptPrefix: promptPrefix,
instructions: instructions,
assistant_id,
// model,
};
if (file_ids.length) {
conversation.file_ids = file_ids;
}
};
const promises = [initializeThread(), checkBalanceBeforeRun()];
await Promise.all(promises);
const sendInitialResponse = () => {
sendMessage(res, {
sync: true,
conversationId,
// messages: previousMessages,
requestMessage,
responseMessage: {
user: req.user.id,
messageId: openai.responseMessage.messageId,
parentMessageId: userMessageId,
conversationId,
assistant_id,
thread_id,
model: assistant_id,
},
});
};
/** @type {RunResponse | typeof StreamRunManager | undefined} */
let response;
const processRun = async (retry = false) => {
if (endpoint === EModelEndpoint.azureAssistants) {
body.model = openai._options.model;
openai.attachedFileIds = attachedFileIds;
if (retry) {
response = await runAssistant({
openai,
thread_id,
run_id,
in_progress: openai.in_progress,
});
return;
}
/* NOTE:
* By default, a Run will use the model and tools configuration specified in Assistant object,
* but you can override most of these when creating the Run for added flexibility:
*/
const run = await createRun({
openai,
thread_id,
body,
});
run_id = run.id;
await cache.set(cacheKey, `${thread_id}:${run_id}`, ten_minutes);
sendInitialResponse();
// todo: retry logic
response = await runAssistant({ openai, thread_id, run_id });
return;
}
/** @type {{[AssistantStreamEvents.ThreadRunCreated]: (event: ThreadRunCreated) => Promise<void>}} */
const handlers = {
[AssistantStreamEvents.ThreadRunCreated]: async (event) => {
await cache.set(cacheKey, `${thread_id}:${event.data.id}`, ten_minutes);
run_id = event.data.id;
sendInitialResponse();
},
};
const streamRunManager = new StreamRunManager({
req,
res,
openai,
handlers,
thread_id,
attachedFileIds,
responseMessage: openai.responseMessage,
// streamOptions: {
// },
});
await streamRunManager.runAssistant({
thread_id,
body,
});
response = streamRunManager;
};
await processRun();
logger.debug('[/assistants/chat/] response', {
run: response.run,
steps: response.steps,
});
if (response.run.status === RunStatus.CANCELLED) {
logger.debug('[/assistants/chat/] Run cancelled, handled by `abortRun`');
return res.end();
}
if (response.run.status === RunStatus.IN_PROGRESS) {
processRun(true);
}
completedRun = response.run;
/** @type {ResponseMessage} */
const responseMessage = {
...(response.responseMessage ?? response.finalMessage),
parentMessageId: userMessageId,
conversationId,
user: req.user.id,
assistant_id,
thread_id,
model: assistant_id,
endpoint,
};
sendMessage(res, {
final: true,
conversation,
requestMessage: {
parentMessageId,
thread_id,
},
});
res.end();
await saveAssistantMessage({ ...responseMessage, model });
if (parentMessageId === Constants.NO_PARENT && !_thread_id) {
addTitle(req, {
text,
responseText: response.text,
conversationId,
client,
});
}
await addThreadMetadata({
openai,
thread_id,
messageId: responseMessage.messageId,
messages: response.messages,
});
if (!response.run.usage) {
await sleep(3000);
completedRun = await openai.beta.threads.runs.retrieve(thread_id, response.run.id);
if (completedRun.usage) {
await recordUsage({
...completedRun.usage,
user: req.user.id,
model: completedRun.model ?? model,
conversationId,
});
}
} else {
await recordUsage({
...response.run.usage,
user: req.user.id,
model: response.run.model ?? model,
conversationId,
});
}
} catch (error) {
await handleError(error);
}
};
module.exports = chatV2;

View file

@ -0,0 +1,168 @@
const {
EModelEndpoint,
FileSources,
CacheKeys,
defaultAssistantsVersion,
} = require('librechat-data-provider');
const {
initializeClient: initAzureClient,
} = require('~/server/services/Endpoints/azureAssistants');
const { initializeClient } = require('~/server/services/Endpoints/assistants');
const { getLogStores } = require('~/cache');
/**
* @param {Express.Request} req
* @param {string} [endpoint]
* @returns {Promise<string>}
*/
const getCurrentVersion = async (req, endpoint) => {
const index = req.baseUrl.lastIndexOf('/v');
let version = index !== -1 ? req.baseUrl.substring(index + 1, index + 3) : null;
if (!version && req.body.version) {
version = `v${req.body.version}`;
}
if (!version && endpoint) {
const cache = getLogStores(CacheKeys.CONFIG_STORE);
const cachedEndpointsConfig = await cache.get(CacheKeys.ENDPOINT_CONFIG);
version = `v${
cachedEndpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint]
}`;
}
if (!version?.startsWith('v') && version.length !== 2) {
throw new Error(`[${req.baseUrl}] Invalid version: ${version}`);
}
return version;
};
/**
* Asynchronously lists assistants based on provided query parameters.
*
* Initializes the client with the current request and response objects and lists assistants
* according to the query parameters. This function abstracts the logic for non-Azure paths.
*
* @async
* @param {object} params - The parameters object.
* @param {object} params.req - The request object, used for initializing the client.
* @param {object} params.res - The response object, used for initializing the client.
* @param {string} params.version - The API version to use.
* @param {object} params.query - The query parameters to list assistants (e.g., limit, order).
* @returns {Promise<object>} A promise that resolves to the response from the `openai.beta.assistants.list` method call.
*/
const listAssistants = async ({ req, res, version, query }) => {
const { openai } = await getOpenAIClient({ req, res, version });
return openai.beta.assistants.list(query);
};
/**
* Asynchronously lists assistants for Azure configured groups.
*
* Iterates through Azure configured assistant groups, initializes the client with the current request and response objects,
* lists assistants based on the provided query parameters, and merges their data alongside the model information into a single array.
*
* @async
* @param {object} params - The parameters object.
* @param {object} params.req - The request object, used for initializing the client and manipulating the request body.
* @param {object} params.res - The response object, used for initializing the client.
* @param {string} params.version - The API version to use.
* @param {TAzureConfig} params.azureConfig - The Azure configuration object containing assistantGroups and groupMap.
* @param {object} params.query - The query parameters to list assistants (e.g., limit, order).
* @returns {Promise<AssistantListResponse>} A promise that resolves to an array of assistant data merged with their respective model information.
*/
const listAssistantsForAzure = async ({ req, res, version, azureConfig = {}, query }) => {
/** @type {Array<[string, TAzureModelConfig]>} */
const groupModelTuples = [];
const promises = [];
/** @type {Array<TAzureGroup>} */
const groups = [];
const { groupMap, assistantGroups } = azureConfig;
for (const groupName of assistantGroups) {
const group = groupMap[groupName];
groups.push(group);
const currentModelTuples = Object.entries(group?.models);
groupModelTuples.push(currentModelTuples);
/* The specified model is only necessary to
fetch assistants for the shared instance */
req.body.model = currentModelTuples[0][0];
promises.push(listAssistants({ req, res, version, query }));
}
const resolvedQueries = await Promise.all(promises);
const data = resolvedQueries.flatMap((res, i) =>
res.data.map((assistant) => {
const deploymentName = assistant.model;
const currentGroup = groups[i];
const currentModelTuples = groupModelTuples[i];
const firstModel = currentModelTuples[0][0];
if (currentGroup.deploymentName === deploymentName) {
return { ...assistant, model: firstModel };
}
for (const [model, modelConfig] of currentModelTuples) {
if (modelConfig.deploymentName === deploymentName) {
return { ...assistant, model };
}
}
return { ...assistant, model: firstModel };
}),
);
return {
first_id: data[0]?.id,
last_id: data[data.length - 1]?.id,
object: 'list',
has_more: false,
data,
};
};
async function getOpenAIClient({ req, res, endpointOption, initAppClient }) {
let endpoint = req.body.endpoint ?? req.query.endpoint;
if (!endpoint && req.baseUrl.includes('files') && req.body.files) {
const source = req.body.files[0]?.source;
endpoint =
source === FileSources.openai ? EModelEndpoint.assistants : EModelEndpoint.azureAssistants;
}
const version = await getCurrentVersion(req, endpoint);
if (!endpoint) {
throw new Error(`[${req.baseUrl}] Endpoint is required`);
}
let result;
if (endpoint === EModelEndpoint.assistants) {
result = await initializeClient({ req, res, version, endpointOption, initAppClient });
} else if (endpoint === EModelEndpoint.azureAssistants) {
result = await initAzureClient({ req, res, version, endpointOption, initAppClient });
}
return result;
}
const fetchAssistants = async (req, res) => {
const { limit = 100, order = 'desc', after, before, endpoint } = req.query;
const version = await getCurrentVersion(req, endpoint);
const query = { limit, order, after, before };
/** @type {AssistantListResponse} */
let body;
if (endpoint === EModelEndpoint.assistants) {
({ body } = await listAssistants({ req, res, version, query }));
} else if (endpoint === EModelEndpoint.azureAssistants) {
const azureConfig = req.app.locals[EModelEndpoint.azureOpenAI];
body = await listAssistantsForAzure({ req, res, version, azureConfig, query });
}
return body;
};
module.exports = {
getOpenAIClient,
fetchAssistants,
getCurrentVersion,
};

View file

@ -1,34 +1,11 @@
const multer = require('multer');
const express = require('express');
const { FileContext, EModelEndpoint } = require('librechat-data-provider');
const {
initializeClient,
listAssistantsForAzure,
listAssistants,
} = require('~/server/services/Endpoints/assistants');
const { FileContext } = require('librechat-data-provider');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const { deleteAssistantActions } = require('~/server/services/ActionService');
const { uploadImageBuffer } = require('~/server/services/Files/process');
const { updateAssistant, getAssistants } = require('~/models/Assistant');
const { getOpenAIClient, fetchAssistants } = require('./helpers');
const { deleteFileByFilter } = require('~/models/File');
const { logger } = require('~/config');
const actions = require('./actions');
const tools = require('./tools');
const upload = multer();
const router = express.Router();
/**
* Assistant actions route.
* @route GET|POST /assistants/actions
*/
router.use('/actions', actions);
/**
* Create an assistant.
* @route GET /assistants/tools
* @returns {TPlugin[]} 200 - application/json
*/
router.use('/tools', tools);
/**
* Create an assistant.
@ -36,12 +13,11 @@ router.use('/tools', tools);
* @param {AssistantCreateParams} req.body - The assistant creation parameters.
* @returns {Assistant} 201 - success response - application/json
*/
router.post('/', async (req, res) => {
const createAssistant = async (req, res) => {
try {
/** @type {{ openai: OpenAI }} */
const { openai } = await initializeClient({ req, res });
const { openai } = await getOpenAIClient({ req, res });
const { tools = [], ...assistantData } = req.body;
const { tools = [], endpoint: _e, ...assistantData } = req.body;
assistantData.tools = tools
.map((tool) => {
if (typeof tool !== 'string') {
@ -52,18 +28,23 @@ router.post('/', async (req, res) => {
})
.filter((tool) => tool);
let azureModelIdentifier = null;
if (openai.locals?.azureOptions) {
azureModelIdentifier = assistantData.model;
assistantData.model = openai.locals.azureOptions.azureOpenAIApiDeploymentName;
}
const assistant = await openai.beta.assistants.create(assistantData);
if (azureModelIdentifier) {
assistant.model = azureModelIdentifier;
}
logger.debug('/assistants/', assistant);
res.status(201).json(assistant);
} catch (error) {
logger.error('[/assistants] Error creating assistant', error);
res.status(500).json({ error: error.message });
}
});
};
/**
* Retrieves an assistant.
@ -71,10 +52,10 @@ router.post('/', async (req, res) => {
* @param {string} req.params.id - Assistant identifier.
* @returns {Assistant} 200 - success response - application/json
*/
router.get('/:id', async (req, res) => {
const retrieveAssistant = async (req, res) => {
try {
/** @type {{ openai: OpenAI }} */
const { openai } = await initializeClient({ req, res });
/* NOTE: not actually being used right now */
const { openai } = await getOpenAIClient({ req, res });
const assistant_id = req.params.id;
const assistant = await openai.beta.assistants.retrieve(assistant_id);
@ -83,22 +64,23 @@ router.get('/:id', async (req, res) => {
logger.error('[/assistants/:id] Error retrieving assistant', error);
res.status(500).json({ error: error.message });
}
});
};
/**
* Modifies an assistant.
* @route PATCH /assistants/:id
* @param {object} req - Express Request
* @param {object} req.params - Request params
* @param {string} req.params.id - Assistant identifier.
* @param {AssistantUpdateParams} req.body - The assistant update parameters.
* @returns {Assistant} 200 - success response - application/json
*/
router.patch('/:id', async (req, res) => {
const patchAssistant = async (req, res) => {
try {
/** @type {{ openai: OpenAI }} */
const { openai } = await initializeClient({ req, res });
const { openai } = await getOpenAIClient({ req, res });
const assistant_id = req.params.id;
const updateData = req.body;
const { endpoint: _e, ...updateData } = req.body;
updateData.tools = (updateData.tools ?? [])
.map((tool) => {
if (typeof tool !== 'string') {
@ -119,52 +101,46 @@ router.patch('/:id', async (req, res) => {
logger.error('[/assistants/:id] Error updating assistant', error);
res.status(500).json({ error: error.message });
}
});
};
/**
* Deletes an assistant.
* @route DELETE /assistants/:id
* @param {object} req - Express Request
* @param {object} req.params - Request params
* @param {string} req.params.id - Assistant identifier.
* @returns {Assistant} 200 - success response - application/json
*/
router.delete('/:id', async (req, res) => {
const deleteAssistant = async (req, res) => {
try {
/** @type {{ openai: OpenAI }} */
const { openai } = await initializeClient({ req, res });
const { openai } = await getOpenAIClient({ req, res });
const assistant_id = req.params.id;
const deletionStatus = await openai.beta.assistants.del(assistant_id);
if (deletionStatus?.deleted) {
await deleteAssistantActions({ req, assistant_id });
}
res.json(deletionStatus);
} catch (error) {
logger.error('[/assistants/:id] Error deleting assistant', error);
res.status(500).json({ error: 'Error deleting assistant' });
}
});
};
/**
* Returns a list of assistants.
* @route GET /assistants
* @param {object} req - Express Request
* @param {AssistantListParams} req.query - The assistant list parameters for pagination and sorting.
* @returns {AssistantListResponse} 200 - success response - application/json
*/
router.get('/', async (req, res) => {
const listAssistants = async (req, res) => {
try {
const { limit = 100, order = 'desc', after, before } = req.query;
const query = { limit, order, after, before };
const body = await fetchAssistants(req, res);
const azureConfig = req.app.locals[EModelEndpoint.azureOpenAI];
/** @type {AssistantListResponse} */
let body;
if (azureConfig?.assistants) {
body = await listAssistantsForAzure({ req, res, azureConfig, query });
} else {
({ body } = await listAssistants({ req, res, query }));
}
if (req.app.locals?.[EModelEndpoint.assistants]) {
if (req.app.locals?.[req.query.endpoint]) {
/** @type {Partial<TAssistantEndpoint>} */
const assistantsConfig = req.app.locals[EModelEndpoint.assistants];
const assistantsConfig = req.app.locals[req.query.endpoint];
const { supportedIds, excludedIds } = assistantsConfig;
if (supportedIds?.length) {
body.data = body.data.filter((assistant) => supportedIds.includes(assistant.id));
@ -178,31 +154,34 @@ router.get('/', async (req, res) => {
logger.error('[/assistants] Error listing assistants', error);
res.status(500).json({ message: 'Error listing assistants' });
}
});
};
/**
* Returns a list of the user's assistant documents (metadata saved to database).
* @route GET /assistants/documents
* @returns {AssistantDocument[]} 200 - success response - application/json
*/
router.get('/documents', async (req, res) => {
const getAssistantDocuments = async (req, res) => {
try {
res.json(await getAssistants({ user: req.user.id }));
} catch (error) {
logger.error('[/assistants/documents] Error listing assistant documents', error);
res.status(500).json({ error: error.message });
}
});
};
/**
* Uploads and updates an avatar for a specific assistant.
* @route POST /avatar/:assistant_id
* @param {object} req - Express Request
* @param {object} req.params - Request params
* @param {string} req.params.assistant_id - The ID of the assistant.
* @param {Express.Multer.File} req.file - The avatar image file.
* @param {object} req.body - Request body
* @param {string} [req.body.metadata] - Optional metadata for the assistant's avatar.
* @returns {Object} 200 - success response - application/json
*/
router.post('/avatar/:assistant_id', upload.single('file'), async (req, res) => {
const uploadAssistantAvatar = async (req, res) => {
try {
const { assistant_id } = req.params;
if (!assistant_id) {
@ -210,8 +189,7 @@ router.post('/avatar/:assistant_id', upload.single('file'), async (req, res) =>
}
let { metadata: _metadata = '{}' } = req.body;
/** @type {{ openai: OpenAI }} */
const { openai } = await initializeClient({ req, res });
const { openai } = await getOpenAIClient({ req, res });
const image = await uploadImageBuffer({
req,
@ -266,6 +244,14 @@ router.post('/avatar/:assistant_id', upload.single('file'), async (req, res) =>
logger.error(message, error);
res.status(500).json({ message });
}
});
};
module.exports = router;
module.exports = {
createAssistant,
retrieveAssistant,
patchAssistant,
deleteAssistant,
listAssistants,
getAssistantDocuments,
uploadAssistantAvatar,
};

View file

@ -0,0 +1,183 @@
const { validateAndUpdateTool } = require('~/server/services/ActionService');
const { getOpenAIClient } = require('./helpers');
const { logger } = require('~/config');
/**
* Create an assistant.
* @route POST /assistants
* @param {AssistantCreateParams} req.body - The assistant creation parameters.
* @returns {Assistant} 201 - success response - application/json
*/
const createAssistant = async (req, res) => {
try {
/** @type {{ openai: OpenAIClient }} */
const { openai } = await getOpenAIClient({ req, res });
const { tools = [], endpoint: _e, ...assistantData } = req.body;
assistantData.tools = tools
.map((tool) => {
if (typeof tool !== 'string') {
return tool;
}
return req.app.locals.availableTools[tool];
})
.filter((tool) => tool);
let azureModelIdentifier = null;
if (openai.locals?.azureOptions) {
azureModelIdentifier = assistantData.model;
assistantData.model = openai.locals.azureOptions.azureOpenAIApiDeploymentName;
}
const assistant = await openai.beta.assistants.create(assistantData);
if (azureModelIdentifier) {
assistant.model = azureModelIdentifier;
}
logger.debug('/assistants/', assistant);
res.status(201).json(assistant);
} catch (error) {
logger.error('[/assistants] Error creating assistant', error);
res.status(500).json({ error: error.message });
}
};
/**
* Modifies an assistant.
* @param {object} params
* @param {Express.Request} params.req
* @param {OpenAIClient} params.openai
* @param {string} params.assistant_id
* @param {AssistantUpdateParams} params.updateData
* @returns {Promise<Assistant>} The updated assistant.
*/
const updateAssistant = async ({ req, openai, assistant_id, updateData }) => {
const tools = [];
for (const tool of updateData.tools ?? []) {
let actualTool = typeof tool === 'string' ? req.app.locals.availableTools[tool] : tool;
if (!actualTool) {
continue;
}
if (!actualTool.function) {
tools.push(actualTool);
continue;
}
const updatedTool = await validateAndUpdateTool({ req, tool: actualTool, assistant_id });
if (updatedTool) {
tools.push(updatedTool);
}
}
updateData.tools = tools;
if (openai.locals?.azureOptions && updateData.model) {
updateData.model = openai.locals.azureOptions.azureOpenAIApiDeploymentName;
}
return await openai.beta.assistants.update(assistant_id, updateData);
};
/**
* Modifies an assistant with the resource file id.
* @param {object} params
* @param {Express.Request} params.req
* @param {OpenAIClient} params.openai
* @param {string} params.assistant_id
* @param {string} params.tool_resource
* @param {string} params.file_id
* @param {AssistantUpdateParams} params.updateData
* @returns {Promise<Assistant>} The updated assistant.
*/
const addResourceFileId = async ({ req, openai, assistant_id, tool_resource, file_id }) => {
const assistant = await openai.beta.assistants.retrieve(assistant_id);
const { tool_resources = {} } = assistant;
if (tool_resources[tool_resource]) {
tool_resources[tool_resource].file_ids.push(file_id);
} else {
tool_resources[tool_resource] = { file_ids: [file_id] };
}
delete assistant.id;
return await updateAssistant({
req,
openai,
assistant_id,
updateData: { tools: assistant.tools, tool_resources },
});
};
/**
* Deletes a file ID from an assistant's resource.
* @param {object} params
* @param {Express.Request} params.req
* @param {OpenAIClient} params.openai
* @param {string} params.assistant_id
* @param {string} [params.tool_resource]
* @param {string} params.file_id
* @param {AssistantUpdateParams} params.updateData
* @returns {Promise<Assistant>} The updated assistant.
*/
const deleteResourceFileId = async ({ req, openai, assistant_id, tool_resource, file_id }) => {
const assistant = await openai.beta.assistants.retrieve(assistant_id);
const { tool_resources = {} } = assistant;
if (tool_resource && tool_resources[tool_resource]) {
const resource = tool_resources[tool_resource];
const index = resource.file_ids.indexOf(file_id);
if (index !== -1) {
resource.file_ids.splice(index, 1);
}
} else {
for (const resourceKey in tool_resources) {
const resource = tool_resources[resourceKey];
const index = resource.file_ids.indexOf(file_id);
if (index !== -1) {
resource.file_ids.splice(index, 1);
break;
}
}
}
delete assistant.id;
return await updateAssistant({
req,
openai,
assistant_id,
updateData: { tools: assistant.tools, tool_resources },
});
};
/**
* Modifies an assistant.
* @route PATCH /assistants/:id
* @param {object} req - Express Request
* @param {object} req.params - Request params
* @param {string} req.params.id - Assistant identifier.
* @param {AssistantUpdateParams} req.body - The assistant update parameters.
* @returns {Assistant} 200 - success response - application/json
*/
const patchAssistant = async (req, res) => {
try {
const { openai } = await getOpenAIClient({ req, res });
const assistant_id = req.params.id;
const { endpoint: _e, ...updateData } = req.body;
updateData.tools = updateData.tools ?? [];
const updatedAssistant = await updateAssistant({ req, openai, assistant_id, updateData });
res.json(updatedAssistant);
} catch (error) {
logger.error('[/assistants/:id] Error updating assistant', error);
res.status(500).json({ error: error.message });
}
};
module.exports = {
patchAssistant,
createAssistant,
updateAssistant,
addResourceFileId,
deleteResourceFileId,
};

View file

@ -1,4 +1,4 @@
const { EModelEndpoint } = require('librechat-data-provider');
const { isAssistantsEndpoint } = require('librechat-data-provider');
const { sendMessage, sendError, countTokens, isEnabled } = require('~/server/utils');
const { truncateText, smartTruncateText } = require('~/app/clients/prompts');
const { saveMessage, getConvo, getConvoTitle } = require('~/models');
@ -15,7 +15,7 @@ async function abortMessage(req, res) {
abortKey = conversationId;
}
if (endpoint === EModelEndpoint.assistants) {
if (isAssistantsEndpoint(endpoint)) {
return await abortRun(req, res);
}

View file

@ -10,7 +10,7 @@ const three_minutes = 1000 * 60 * 3;
async function abortRun(req, res) {
res.setHeader('Content-Type', 'application/json');
const { abortKey } = req.body;
const { abortKey, endpoint } = req.body;
const [conversationId, latestMessageId] = abortKey.split(':');
const conversation = await getConvo(req.user.id, conversationId);
@ -68,9 +68,10 @@ async function abortRun(req, res) {
runMessages = await checkMessageGaps({
openai,
latestMessageId,
endpoint,
thread_id,
run_id,
latestMessageId,
conversationId,
});

View file

@ -1,5 +1,6 @@
const { parseConvo, EModelEndpoint } = require('librechat-data-provider');
const { getModelsConfig } = require('~/server/controllers/ModelController');
const azureAssistants = require('~/server/services/Endpoints/azureAssistants');
const assistants = require('~/server/services/Endpoints/assistants');
const gptPlugins = require('~/server/services/Endpoints/gptPlugins');
const { processFiles } = require('~/server/services/Files/process');
@ -18,6 +19,7 @@ const buildFunction = {
[EModelEndpoint.anthropic]: anthropic.buildOptions,
[EModelEndpoint.gptPlugins]: gptPlugins.buildOptions,
[EModelEndpoint.assistants]: assistants.buildOptions,
[EModelEndpoint.azureAssistants]: azureAssistants.buildOptions,
};
async function buildEndpointOption(req, res, next) {

View file

@ -2,7 +2,7 @@ const { v4 } = require('uuid');
const express = require('express');
const { encryptMetadata, domainParser } = require('~/server/services/ActionService');
const { actionDelimiter, EModelEndpoint } = require('librechat-data-provider');
const { initializeClient } = require('~/server/services/Endpoints/assistants');
const { getOpenAIClient } = require('~/server/controllers/assistants/helpers');
const { updateAction, getActions, deleteAction } = require('~/models/Action');
const { updateAssistant, getAssistant } = require('~/models/Assistant');
const { logger } = require('~/config');
@ -45,7 +45,6 @@ router.post('/:assistant_id', async (req, res) => {
let metadata = encryptMetadata(_metadata);
let { domain } = metadata;
/* Azure doesn't support periods in function names */
domain = await domainParser(req, domain, true);
if (!domain) {
@ -55,8 +54,7 @@ router.post('/:assistant_id', async (req, res) => {
const action_id = _action_id ?? v4();
const initialPromises = [];
/** @type {{ openai: OpenAI }} */
const { openai } = await initializeClient({ req, res });
const { openai } = await getOpenAIClient({ req, res });
initialPromises.push(getAssistant({ assistant_id }));
initialPromises.push(openai.beta.assistants.retrieve(assistant_id));
@ -157,9 +155,7 @@ router.delete('/:assistant_id/:action_id/:model', async (req, res) => {
try {
const { assistant_id, action_id, model } = req.params;
req.body.model = model;
/** @type {{ openai: OpenAI }} */
const { openai } = await initializeClient({ req, res });
const { openai } = await getOpenAIClient({ req, res });
const initialPromises = [];
initialPromises.push(getAssistant({ assistant_id }));

View file

@ -0,0 +1,25 @@
const express = require('express');
const router = express.Router();
const {
setHeaders,
handleAbort,
validateModel,
// validateEndpoint,
buildEndpointOption,
} = require('~/server/middleware');
const chatController = require('~/server/controllers/assistants/chatV1');
router.post('/abort', handleAbort());
/**
* @route POST /
* @desc Chat with an assistant
* @access Public
* @param {express.Request} req - The request object, containing the request data.
* @param {express.Response} res - The response object, used to send back a response.
* @returns {void}
*/
router.post('/', validateModel, buildEndpointOption, setHeaders, chatController);
module.exports = router;

View file

@ -0,0 +1,25 @@
const express = require('express');
const router = express.Router();
const {
setHeaders,
handleAbort,
validateModel,
// validateEndpoint,
buildEndpointOption,
} = require('~/server/middleware');
const chatController = require('~/server/controllers/assistants/chatV2');
router.post('/abort', handleAbort());
/**
* @route POST /
* @desc Chat with an assistant
* @access Public
* @param {express.Request} req - The request object, containing the request data.
* @param {express.Response} res - The response object, used to send back a response.
* @returns {void}
*/
router.post('/', validateModel, buildEndpointOption, setHeaders, chatController);
module.exports = router;

View file

@ -7,16 +7,19 @@ const {
// concurrentLimiter,
// messageIpLimiter,
// messageUserLimiter,
} = require('../../middleware');
} = require('~/server/middleware');
const assistants = require('./assistants');
const chat = require('./chat');
const v1 = require('./v1');
const chatV1 = require('./chatV1');
const v2 = require('./v2');
const chatV2 = require('./chatV2');
router.use(requireJwtAuth);
router.use(checkBan);
router.use(uaParser);
router.use('/', assistants);
router.use('/chat', chat);
router.use('/v1/', v1);
router.use('/v1/chat', chatV1);
router.use('/v2/', v2);
router.use('/v2/chat', chatV2);
module.exports = router;

View file

@ -0,0 +1,81 @@
const multer = require('multer');
const express = require('express');
const controllers = require('~/server/controllers/assistants/v1');
const actions = require('./actions');
const tools = require('./tools');
const upload = multer();
const router = express.Router();
/**
* Assistant actions route.
* @route GET|POST /assistants/actions
*/
router.use('/actions', actions);
/**
* Create an assistant.
* @route GET /assistants/tools
* @returns {TPlugin[]} 200 - application/json
*/
router.use('/tools', tools);
/**
* Create an assistant.
* @route POST /assistants
* @param {AssistantCreateParams} req.body - The assistant creation parameters.
* @returns {Assistant} 201 - success response - application/json
*/
router.post('/', controllers.createAssistant);
/**
* Retrieves an assistant.
* @route GET /assistants/:id
* @param {string} req.params.id - Assistant identifier.
* @returns {Assistant} 200 - success response - application/json
*/
router.get('/:id', controllers.retrieveAssistant);
/**
* Modifies an assistant.
* @route PATCH /assistants/:id
* @param {string} req.params.id - Assistant identifier.
* @param {AssistantUpdateParams} req.body - The assistant update parameters.
* @returns {Assistant} 200 - success response - application/json
*/
router.patch('/:id', controllers.patchAssistant);
/**
* Deletes an assistant.
* @route DELETE /assistants/:id
* @param {string} req.params.id - Assistant identifier.
* @returns {Assistant} 200 - success response - application/json
*/
router.delete('/:id', controllers.deleteAssistant);
/**
* Returns a list of assistants.
* @route GET /assistants
* @param {AssistantListParams} req.query - The assistant list parameters for pagination and sorting.
* @returns {AssistantListResponse} 200 - success response - application/json
*/
router.get('/', controllers.listAssistants);
/**
* Returns a list of the user's assistant documents (metadata saved to database).
* @route GET /assistants/documents
* @returns {AssistantDocument[]} 200 - success response - application/json
*/
router.get('/documents', controllers.getAssistantDocuments);
/**
* Uploads and updates an avatar for a specific assistant.
* @route POST /avatar/:assistant_id
* @param {string} req.params.assistant_id - The ID of the assistant.
* @param {Express.Multer.File} req.file - The avatar image file.
* @param {string} [req.body.metadata] - Optional metadata for the assistant's avatar.
* @returns {Object} 200 - success response - application/json
*/
router.post('/avatar/:assistant_id', upload.single('file'), controllers.uploadAssistantAvatar);
module.exports = router;

View file

@ -0,0 +1,82 @@
const multer = require('multer');
const express = require('express');
const v1 = require('~/server/controllers/assistants/v1');
const v2 = require('~/server/controllers/assistants/v2');
const actions = require('./actions');
const tools = require('./tools');
const upload = multer();
const router = express.Router();
/**
* Assistant actions route.
* @route GET|POST /assistants/actions
*/
router.use('/actions', actions);
/**
* Create an assistant.
* @route GET /assistants/tools
* @returns {TPlugin[]} 200 - application/json
*/
router.use('/tools', tools);
/**
* Create an assistant.
* @route POST /assistants
* @param {AssistantCreateParams} req.body - The assistant creation parameters.
* @returns {Assistant} 201 - success response - application/json
*/
router.post('/', v2.createAssistant);
/**
* Retrieves an assistant.
* @route GET /assistants/:id
* @param {string} req.params.id - Assistant identifier.
* @returns {Assistant} 200 - success response - application/json
*/
router.get('/:id', v1.retrieveAssistant);
/**
* Modifies an assistant.
* @route PATCH /assistants/:id
* @param {string} req.params.id - Assistant identifier.
* @param {AssistantUpdateParams} req.body - The assistant update parameters.
* @returns {Assistant} 200 - success response - application/json
*/
router.patch('/:id', v2.patchAssistant);
/**
* Deletes an assistant.
* @route DELETE /assistants/:id
* @param {string} req.params.id - Assistant identifier.
* @returns {Assistant} 200 - success response - application/json
*/
router.delete('/:id', v1.deleteAssistant);
/**
* Returns a list of assistants.
* @route GET /assistants
* @param {AssistantListParams} req.query - The assistant list parameters for pagination and sorting.
* @returns {AssistantListResponse} 200 - success response - application/json
*/
router.get('/', v1.listAssistants);
/**
* Returns a list of the user's assistant documents (metadata saved to database).
* @route GET /assistants/documents
* @returns {AssistantDocument[]} 200 - success response - application/json
*/
router.get('/documents', v1.getAssistantDocuments);
/**
* Uploads and updates an avatar for a specific assistant.
* @route POST /avatar/:assistant_id
* @param {string} req.params.assistant_id - The ID of the assistant.
* @param {Express.Multer.File} req.file - The avatar image file.
* @param {string} [req.body.metadata] - Optional metadata for the assistant's avatar.
* @returns {Object} 200 - success response - application/json
*/
router.post('/avatar/:assistant_id', upload.single('file'), v1.uploadAssistantAvatar);
module.exports = router;

View file

@ -1,20 +1,59 @@
const {
AuthTypeEnum,
EModelEndpoint,
actionDomainSeparator,
CacheKeys,
Constants,
AuthTypeEnum,
actionDelimiter,
isImageVisionTool,
actionDomainSeparator,
} = require('librechat-data-provider');
const { encryptV2, decryptV2 } = require('~/server/utils/crypto');
const { getActions } = require('~/models/Action');
const { getActions, deleteActions } = require('~/models/Action');
const { deleteAssistant } = require('~/models/Assistant');
const { getLogStores } = require('~/cache');
const { logger } = require('~/config');
const toolNameRegex = /^[a-zA-Z0-9_-]+$/;
/**
* Validates tool name against regex pattern and updates if necessary.
* @param {object} params - The parameters for the function.
* @param {object} params.req - Express Request.
* @param {FunctionTool} params.tool - The tool object.
* @param {string} params.assistant_id - The assistant ID
* @returns {object|null} - Updated tool object or null if invalid and not an action.
*/
const validateAndUpdateTool = async ({ req, tool, assistant_id }) => {
let actions;
if (isImageVisionTool(tool)) {
return null;
}
if (!toolNameRegex.test(tool.function.name)) {
const [functionName, domain] = tool.function.name.split(actionDelimiter);
actions = await getActions({ assistant_id, user: req.user.id }, true);
const matchingActions = actions.filter((action) => {
const metadata = action.metadata;
return metadata && metadata.domain === domain;
});
const action = matchingActions[0];
if (!action) {
return null;
}
const parsedDomain = await domainParser(req, domain, true);
if (!parsedDomain) {
return null;
}
tool.function.name = `${functionName}${actionDelimiter}${parsedDomain}`;
}
return tool;
};
/**
* Encodes or decodes a domain name to/from base64, or replacing periods with a custom separator.
*
* Necessary because Azure OpenAI Assistants API doesn't support periods in function
* names due to `[a-zA-Z0-9_-]*` Regex Validation, limited to a 64-character maximum.
* Necessary due to `[a-zA-Z0-9_-]*` Regex Validation, limited to a 64-character maximum.
*
* @param {Express.Request} req - The Express Request object.
* @param {string} domain - The domain name to encode/decode.
@ -26,10 +65,6 @@ async function domainParser(req, domain, inverse = false) {
return;
}
if (!req.app.locals[EModelEndpoint.azureOpenAI]?.assistants) {
return domain;
}
const domainsCache = getLogStores(CacheKeys.ENCODED_DOMAINS);
const cachedDomain = await domainsCache.get(domain);
if (inverse && cachedDomain) {
@ -170,10 +205,29 @@ function decryptMetadata(metadata) {
return decryptedMetadata;
}
/**
* Deletes an action and its corresponding assistant.
* @param {Object} params - The parameters for the function.
* @param {OpenAIClient} params.req - The Express Request object.
* @param {string} params.assistant_id - The ID of the assistant.
*/
const deleteAssistantActions = async ({ req, assistant_id }) => {
try {
await deleteActions({ assistant_id, user: req.user.id });
await deleteAssistant({ assistant_id, user: req.user.id });
} catch (error) {
const message = 'Trouble deleting Assistant Actions for Assistant ID: ' + assistant_id;
logger.error(message, error);
throw new Error(message);
}
};
module.exports = {
loadActionSets,
deleteAssistantActions,
validateAndUpdateTool,
createActionTool,
encryptMetadata,
decryptMetadata,
loadActionSets,
domainParser,
};

View file

@ -72,7 +72,14 @@ const AppService = async (app) => {
}
if (config?.endpoints?.[EModelEndpoint.azureOpenAI]?.assistants) {
endpointLocals[EModelEndpoint.assistants] = azureAssistantsDefaults();
endpointLocals[EModelEndpoint.azureAssistants] = azureAssistantsDefaults();
}
if (config?.endpoints?.[EModelEndpoint.azureAssistants]) {
endpointLocals[EModelEndpoint.azureAssistants] = assistantsConfigSetup(
config,
endpointLocals[EModelEndpoint.azureAssistants],
);
}
if (config?.endpoints?.[EModelEndpoint.assistants]) {

View file

@ -393,8 +393,9 @@ async function runAssistant({
},
});
const { endpoint = EModelEndpoint.azureAssistants } = openai.req.body;
/** @type {TCustomConfig.endpoints.assistants} */
const assistantsEndpointConfig = openai.req.app.locals?.[EModelEndpoint.assistants] ?? {};
const assistantsEndpointConfig = openai.req.app.locals?.[endpoint] ?? {};
const { pollIntervalMs, timeoutMs } = assistantsEndpointConfig;
const run = await waitForRun({

View file

@ -3,6 +3,7 @@ const { isUserProvided, generateConfig } = require('~/server/utils');
const {
OPENAI_API_KEY: openAIApiKey,
AZURE_ASSISTANTS_API_KEY: azureAssistantsApiKey,
ASSISTANTS_API_KEY: assistantsApiKey,
AZURE_API_KEY: azureOpenAIApiKey,
ANTHROPIC_API_KEY: anthropicApiKey,
@ -13,6 +14,7 @@ const {
OPENAI_REVERSE_PROXY,
AZURE_OPENAI_BASEURL,
ASSISTANTS_BASE_URL,
AZURE_ASSISTANTS_BASE_URL,
} = process.env ?? {};
const useAzurePlugins = !!PLUGINS_USE_AZURE;
@ -28,11 +30,20 @@ module.exports = {
useAzurePlugins,
userProvidedOpenAI,
googleKey,
[EModelEndpoint.openAI]: generateConfig(openAIApiKey, OPENAI_REVERSE_PROXY),
[EModelEndpoint.assistants]: generateConfig(assistantsApiKey, ASSISTANTS_BASE_URL, true),
[EModelEndpoint.azureOpenAI]: generateConfig(azureOpenAIApiKey, AZURE_OPENAI_BASEURL),
[EModelEndpoint.chatGPTBrowser]: generateConfig(chatGPTToken),
[EModelEndpoint.anthropic]: generateConfig(anthropicApiKey),
[EModelEndpoint.bingAI]: generateConfig(bingToken),
[EModelEndpoint.anthropic]: generateConfig(anthropicApiKey),
[EModelEndpoint.chatGPTBrowser]: generateConfig(chatGPTToken),
[EModelEndpoint.openAI]: generateConfig(openAIApiKey, OPENAI_REVERSE_PROXY),
[EModelEndpoint.azureOpenAI]: generateConfig(azureOpenAIApiKey, AZURE_OPENAI_BASEURL),
[EModelEndpoint.assistants]: generateConfig(
assistantsApiKey,
ASSISTANTS_BASE_URL,
EModelEndpoint.assistants,
),
[EModelEndpoint.azureAssistants]: generateConfig(
azureAssistantsApiKey,
AZURE_ASSISTANTS_BASE_URL,
EModelEndpoint.azureAssistants,
),
},
};

View file

@ -53,7 +53,7 @@ async function loadConfigEndpoints(req) {
if (req.app.locals[EModelEndpoint.azureOpenAI]?.assistants) {
/** @type {Omit<TConfig, 'order'>} */
endpointsConfig[EModelEndpoint.assistants] = {
endpointsConfig[EModelEndpoint.azureAssistants] = {
userProvide: false,
};
}

View file

@ -30,7 +30,7 @@ async function loadConfigModels(req) {
}
if (azureEndpoint?.assistants && azureConfig.assistantModels) {
modelsConfig[EModelEndpoint.assistants] = azureConfig.assistantModels;
modelsConfig[EModelEndpoint.azureAssistants] = azureConfig.assistantModels;
}
if (!Array.isArray(endpoints[EModelEndpoint.custom])) {

View file

@ -9,13 +9,15 @@ const { config } = require('./EndpointService');
*/
async function loadDefaultEndpointsConfig(req) {
const { google, gptPlugins } = await loadAsyncEndpoints(req);
const { openAI, assistants, bingAI, anthropic, azureOpenAI, chatGPTBrowser } = config;
const { openAI, assistants, azureAssistants, bingAI, anthropic, azureOpenAI, chatGPTBrowser } =
config;
const enabledEndpoints = getEnabledEndpoints();
const endpointConfig = {
[EModelEndpoint.openAI]: openAI,
[EModelEndpoint.assistants]: assistants,
[EModelEndpoint.azureAssistants]: azureAssistants,
[EModelEndpoint.azureOpenAI]: azureOpenAI,
[EModelEndpoint.google]: google,
[EModelEndpoint.bingAI]: bingAI,

View file

@ -25,6 +25,7 @@ async function loadDefaultModels(req) {
plugins: true,
});
const assistants = await getOpenAIModels({ assistants: true });
const azureAssistants = await getOpenAIModels({ azureAssistants: true });
return {
[EModelEndpoint.openAI]: openAI,
@ -35,6 +36,7 @@ async function loadDefaultModels(req) {
[EModelEndpoint.bingAI]: ['BingAI', 'Sydney'],
[EModelEndpoint.chatGPTBrowser]: chatGPTBrowser,
[EModelEndpoint.assistants]: assistants,
[EModelEndpoint.azureAssistants]: azureAssistants,
};
}

View file

@ -2,95 +2,8 @@ const addTitle = require('./addTitle');
const buildOptions = require('./buildOptions');
const initializeClient = require('./initializeClient');
/**
* Asynchronously lists assistants based on provided query parameters.
*
* Initializes the client with the current request and response objects and lists assistants
* according to the query parameters. This function abstracts the logic for non-Azure paths.
*
* @async
* @param {object} params - The parameters object.
* @param {object} params.req - The request object, used for initializing the client.
* @param {object} params.res - The response object, used for initializing the client.
* @param {object} params.query - The query parameters to list assistants (e.g., limit, order).
* @returns {Promise<object>} A promise that resolves to the response from the `openai.beta.assistants.list` method call.
*/
const listAssistants = async ({ req, res, query }) => {
const { openai } = await initializeClient({ req, res });
return openai.beta.assistants.list(query);
};
/**
* Asynchronously lists assistants for Azure configured groups.
*
* Iterates through Azure configured assistant groups, initializes the client with the current request and response objects,
* lists assistants based on the provided query parameters, and merges their data alongside the model information into a single array.
*
* @async
* @param {object} params - The parameters object.
* @param {object} params.req - The request object, used for initializing the client and manipulating the request body.
* @param {object} params.res - The response object, used for initializing the client.
* @param {TAzureConfig} params.azureConfig - The Azure configuration object containing assistantGroups and groupMap.
* @param {object} params.query - The query parameters to list assistants (e.g., limit, order).
* @returns {Promise<AssistantListResponse>} A promise that resolves to an array of assistant data merged with their respective model information.
*/
const listAssistantsForAzure = async ({ req, res, azureConfig = {}, query }) => {
/** @type {Array<[string, TAzureModelConfig]>} */
const groupModelTuples = [];
const promises = [];
/** @type {Array<TAzureGroup>} */
const groups = [];
const { groupMap, assistantGroups } = azureConfig;
for (const groupName of assistantGroups) {
const group = groupMap[groupName];
groups.push(group);
const currentModelTuples = Object.entries(group?.models);
groupModelTuples.push(currentModelTuples);
/* The specified model is only necessary to
fetch assistants for the shared instance */
req.body.model = currentModelTuples[0][0];
promises.push(listAssistants({ req, res, query }));
}
const resolvedQueries = await Promise.all(promises);
const data = resolvedQueries.flatMap((res, i) =>
res.data.map((assistant) => {
const deploymentName = assistant.model;
const currentGroup = groups[i];
const currentModelTuples = groupModelTuples[i];
const firstModel = currentModelTuples[0][0];
if (currentGroup.deploymentName === deploymentName) {
return { ...assistant, model: firstModel };
}
for (const [model, modelConfig] of currentModelTuples) {
if (modelConfig.deploymentName === deploymentName) {
return { ...assistant, model };
}
}
return { ...assistant, model: firstModel };
}),
);
return {
first_id: data[0]?.id,
last_id: data[data.length - 1]?.id,
object: 'list',
has_more: false,
data,
};
};
module.exports = {
addTitle,
buildOptions,
initializeClient,
listAssistants,
listAssistantsForAzure,
};

View file

@ -1,11 +1,6 @@
const OpenAI = require('openai');
const { HttpsProxyAgent } = require('https-proxy-agent');
const {
ErrorTypes,
EModelEndpoint,
resolveHeaders,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const { ErrorTypes, EModelEndpoint } = require('librechat-data-provider');
const {
getUserKeyValues,
getUserKeyExpiry,
@ -13,9 +8,8 @@ const {
} = require('~/server/services/UserService');
const OpenAIClient = require('~/app/clients/OpenAIClient');
const { isUserProvided } = require('~/server/utils');
const { constructAzureURL } = require('~/utils');
const initializeClient = async ({ req, res, endpointOption, initAppClient = false }) => {
const initializeClient = async ({ req, res, endpointOption, version, initAppClient = false }) => {
const { PROXY, OPENAI_ORGANIZATION, ASSISTANTS_API_KEY, ASSISTANTS_BASE_URL } = process.env;
const userProvidesKey = isUserProvided(ASSISTANTS_API_KEY);
@ -34,7 +28,11 @@ const initializeClient = async ({ req, res, endpointOption, initAppClient = fals
let apiKey = userProvidesKey ? userValues.apiKey : ASSISTANTS_API_KEY;
let baseURL = userProvidesURL ? userValues.baseURL : ASSISTANTS_BASE_URL;
const opts = {};
const opts = {
defaultHeaders: {
'OpenAI-Beta': `assistants=${version}`,
},
};
const clientOptions = {
reverseProxyUrl: baseURL ?? null,
@ -44,54 +42,6 @@ const initializeClient = async ({ req, res, endpointOption, initAppClient = fals
...endpointOption,
};
/** @type {TAzureConfig | undefined} */
const azureConfig = req.app.locals[EModelEndpoint.azureOpenAI];
/** @type {AzureOptions | undefined} */
let azureOptions;
if (azureConfig && azureConfig.assistants) {
const { modelGroupMap, groupMap, assistantModels } = azureConfig;
const modelName = req.body.model ?? req.query.model ?? assistantModels[0];
const {
azureOptions: currentOptions,
baseURL: azureBaseURL,
headers = {},
serverless,
} = mapModelToAzureConfig({
modelName,
modelGroupMap,
groupMap,
});
azureOptions = currentOptions;
baseURL = constructAzureURL({
baseURL: azureBaseURL ?? 'https://${INSTANCE_NAME}.openai.azure.com/openai',
azureOptions,
});
apiKey = azureOptions.azureOpenAIApiKey;
opts.defaultQuery = { 'api-version': azureOptions.azureOpenAIApiVersion };
opts.defaultHeaders = resolveHeaders({ ...headers, 'api-key': apiKey });
opts.model = azureOptions.azureOpenAIApiDeploymentName;
if (initAppClient) {
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;
clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
clientOptions.headers = opts.defaultHeaders;
clientOptions.azure = !serverless && azureOptions;
}
}
if (userProvidesKey & !apiKey) {
throw new Error(
JSON.stringify({
@ -125,10 +75,6 @@ const initializeClient = async ({ req, res, endpointOption, initAppClient = fals
openai.req = req;
openai.res = res;
if (azureOptions) {
openai.locals = { ...(openai.locals ?? {}), azureOptions };
}
if (endpointOption && initAppClient) {
const client = new OpenAIClient(apiKey, clientOptions);
return {

View file

@ -0,0 +1,19 @@
const buildOptions = (endpoint, parsedBody) => {
// eslint-disable-next-line no-unused-vars
const { promptPrefix, assistant_id, iconURL, greeting, spec, ...rest } = parsedBody;
const endpointOption = {
endpoint,
promptPrefix,
assistant_id,
iconURL,
greeting,
spec,
modelOptions: {
...rest,
},
};
return endpointOption;
};
module.exports = buildOptions;

View file

@ -0,0 +1,7 @@
const buildOptions = require('./buildOptions');
const initializeClient = require('./initializeClient');
module.exports = {
buildOptions,
initializeClient,
};

View file

@ -0,0 +1,155 @@
const OpenAI = require('openai');
const { HttpsProxyAgent } = require('https-proxy-agent');
const {
ErrorTypes,
EModelEndpoint,
resolveHeaders,
mapModelToAzureConfig,
} = require('librechat-data-provider');
const {
getUserKeyValues,
getUserKeyExpiry,
checkUserKeyExpiry,
} = require('~/server/services/UserService');
const OpenAIClient = require('~/app/clients/OpenAIClient');
const { isUserProvided } = require('~/server/utils');
const { constructAzureURL } = require('~/utils');
const initializeClient = async ({ req, res, version, endpointOption, initAppClient = false }) => {
const { PROXY, OPENAI_ORGANIZATION, AZURE_ASSISTANTS_API_KEY, AZURE_ASSISTANTS_BASE_URL } =
process.env;
const userProvidesKey = isUserProvided(AZURE_ASSISTANTS_API_KEY);
const userProvidesURL = isUserProvided(AZURE_ASSISTANTS_BASE_URL);
let userValues = null;
if (userProvidesKey || userProvidesURL) {
const expiresAt = await getUserKeyExpiry({
userId: req.user.id,
name: EModelEndpoint.azureAssistants,
});
checkUserKeyExpiry(expiresAt, EModelEndpoint.azureAssistants);
userValues = await getUserKeyValues({
userId: req.user.id,
name: EModelEndpoint.azureAssistants,
});
}
let apiKey = userProvidesKey ? userValues.apiKey : AZURE_ASSISTANTS_API_KEY;
let baseURL = userProvidesURL ? userValues.baseURL : AZURE_ASSISTANTS_BASE_URL;
const opts = {};
const clientOptions = {
reverseProxyUrl: baseURL ?? null,
proxy: PROXY ?? null,
req,
res,
...endpointOption,
};
/** @type {TAzureConfig | undefined} */
const azureConfig = req.app.locals[EModelEndpoint.azureOpenAI];
/** @type {AzureOptions | undefined} */
let azureOptions;
if (azureConfig && azureConfig.assistants) {
const { modelGroupMap, groupMap, assistantModels } = azureConfig;
const modelName = req.body.model ?? req.query.model ?? assistantModels[0];
const {
azureOptions: currentOptions,
baseURL: azureBaseURL,
headers = {},
serverless,
} = mapModelToAzureConfig({
modelName,
modelGroupMap,
groupMap,
});
azureOptions = currentOptions;
baseURL = constructAzureURL({
baseURL: azureBaseURL ?? 'https://${INSTANCE_NAME}.openai.azure.com/openai',
azureOptions,
});
apiKey = azureOptions.azureOpenAIApiKey;
opts.defaultQuery = { 'api-version': azureOptions.azureOpenAIApiVersion };
opts.defaultHeaders = resolveHeaders({
...headers,
'api-key': apiKey,
'OpenAI-Beta': `assistants=${version}`,
});
opts.model = azureOptions.azureOpenAIApiDeploymentName;
if (initAppClient) {
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;
clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
clientOptions.headers = opts.defaultHeaders;
clientOptions.azure = !serverless && azureOptions;
}
}
if (userProvidesKey & !apiKey) {
throw new Error(
JSON.stringify({
type: ErrorTypes.NO_USER_KEY,
}),
);
}
if (!apiKey) {
throw new Error('Assistants API key not provided. Please provide it again.');
}
if (baseURL) {
opts.baseURL = baseURL;
}
if (PROXY) {
opts.httpAgent = new HttpsProxyAgent(PROXY);
}
if (OPENAI_ORGANIZATION) {
opts.organization = OPENAI_ORGANIZATION;
}
/** @type {OpenAIClient} */
const openai = new OpenAI({
apiKey,
...opts,
});
openai.req = req;
openai.res = res;
if (azureOptions) {
openai.locals = { ...(openai.locals ?? {}), azureOptions };
}
if (endpointOption && initAppClient) {
const client = new OpenAIClient(apiKey, clientOptions);
return {
client,
openai,
openAIApiKey: apiKey,
};
}
return {
openai,
openAIApiKey: apiKey,
};
};
module.exports = initializeClient;

View file

@ -0,0 +1,112 @@
// const OpenAI = require('openai');
const { HttpsProxyAgent } = require('https-proxy-agent');
const { ErrorTypes } = require('librechat-data-provider');
const { getUserKey, getUserKeyExpiry, getUserKeyValues } = require('~/server/services/UserService');
const initializeClient = require('./initializeClient');
// const { OpenAIClient } = require('~/app');
jest.mock('~/server/services/UserService', () => ({
getUserKey: jest.fn(),
getUserKeyExpiry: jest.fn(),
getUserKeyValues: jest.fn(),
checkUserKeyExpiry: jest.requireActual('~/server/services/UserService').checkUserKeyExpiry,
}));
const today = new Date();
const tenDaysFromToday = new Date(today.setDate(today.getDate() + 10));
const isoString = tenDaysFromToday.toISOString();
describe('initializeClient', () => {
// Set up environment variables
const originalEnvironment = process.env;
const app = {
locals: {},
};
beforeEach(() => {
jest.resetModules(); // Clears the cache
process.env = { ...originalEnvironment }; // Make a copy
});
afterAll(() => {
process.env = originalEnvironment; // Restore original env vars
});
test('initializes OpenAI client with default API key and URL', async () => {
process.env.ASSISTANTS_API_KEY = 'default-api-key';
process.env.ASSISTANTS_BASE_URL = 'https://default.api.url';
// Assuming 'isUserProvided' to return false for this test case
jest.mock('~/server/utils', () => ({
isUserProvided: jest.fn().mockReturnValueOnce(false),
}));
const req = { user: { id: 'user123' }, app };
const res = {};
const { openai, openAIApiKey } = await initializeClient({ req, res });
expect(openai.apiKey).toBe('default-api-key');
expect(openAIApiKey).toBe('default-api-key');
expect(openai.baseURL).toBe('https://default.api.url');
});
test('initializes OpenAI client with user-provided API key and URL', async () => {
process.env.ASSISTANTS_API_KEY = 'user_provided';
process.env.ASSISTANTS_BASE_URL = 'user_provided';
getUserKeyValues.mockResolvedValue({ apiKey: 'user-api-key', baseURL: 'https://user.api.url' });
getUserKeyExpiry.mockResolvedValue(isoString);
const req = { user: { id: 'user123' }, app };
const res = {};
const { openai, openAIApiKey } = await initializeClient({ req, res });
expect(openAIApiKey).toBe('user-api-key');
expect(openai.apiKey).toBe('user-api-key');
expect(openai.baseURL).toBe('https://user.api.url');
});
test('throws error for invalid JSON in user-provided values', async () => {
process.env.ASSISTANTS_API_KEY = 'user_provided';
getUserKey.mockResolvedValue('invalid-json');
getUserKeyExpiry.mockResolvedValue(isoString);
getUserKeyValues.mockImplementation(() => {
let userValues = getUserKey();
try {
userValues = JSON.parse(userValues);
} catch (e) {
throw new Error(
JSON.stringify({
type: ErrorTypes.INVALID_USER_KEY,
}),
);
}
return userValues;
});
const req = { user: { id: 'user123' } };
const res = {};
await expect(initializeClient({ req, res })).rejects.toThrow(/invalid_user_key/);
});
test('throws error if API key is not provided', async () => {
delete process.env.ASSISTANTS_API_KEY; // Simulate missing API key
const req = { user: { id: 'user123' }, app };
const res = {};
await expect(initializeClient({ req, res })).rejects.toThrow(/Assistants API key not/);
});
test('initializes OpenAI client with proxy configuration', async () => {
process.env.ASSISTANTS_API_KEY = 'test-key';
process.env.PROXY = 'http://proxy.server';
const req = { user: { id: 'user123' }, app };
const res = {};
const { openai } = await initializeClient({ req, res });
expect(openai.httpAgent).toBeInstanceOf(HttpsProxyAgent);
});
});

View file

@ -14,9 +14,11 @@ const { logger } = require('~/config');
* @returns {Promise<OpenAIFile>}
*/
async function uploadOpenAIFile({ req, file, openai }) {
const { height, width } = req.body;
const isImage = height && width;
const uploadedFile = await openai.files.create({
file: fs.createReadStream(file.path),
purpose: FilePurpose.Assistants,
purpose: isImage ? FilePurpose.Vision : FilePurpose.Assistants,
});
logger.debug(
@ -34,7 +36,7 @@ async function uploadOpenAIFile({ req, file, openai }) {
await sleep(sleepTime);
}
return uploadedFile;
return isImage ? { ...uploadedFile, height, width } : uploadedFile;
}
/**

View file

@ -11,15 +11,20 @@ const {
mergeFileConfig,
hostImageIdSuffix,
hostImageNamePrefix,
isAssistantsEndpoint,
} = require('librechat-data-provider');
const { convertImage, resizeAndConvert } = require('~/server/services/Files/images');
const { initializeClient } = require('~/server/services/Endpoints/assistants');
const { getOpenAIClient } = require('~/server/controllers/assistants/helpers');
const { createFile, updateFileUsage, deleteFiles } = require('~/models/File');
const { addResourceFileId } = require('~/server/controllers/assistants/v2');
const { LB_QueueAsyncCall } = require('~/server/utils/queue');
const { getStrategyFunctions } = require('./strategies');
const { determineFileType } = require('~/server/utils');
const { logger } = require('~/config');
const checkOpenAIStorage = (source) =>
source === FileSources.openai || source === FileSources.azure;
const processFiles = async (files) => {
const promises = [];
for (let file of files) {
@ -41,7 +46,7 @@ const processFiles = async (files) => {
* @param {OpenAI | undefined} [openai] - If an OpenAI file, the initialized OpenAI client.
*/
function enqueueDeleteOperation(req, file, deleteFile, promises, openai) {
if (file.source === FileSources.openai) {
if (checkOpenAIStorage(file.source)) {
// Enqueue to leaky bucket
promises.push(
new Promise((resolve, reject) => {
@ -93,14 +98,14 @@ const processDeleteRequest = async ({ req, files }) => {
/** @type {OpenAI | undefined} */
let openai;
if (req.body.assistant_id) {
({ openai } = await initializeClient({ req }));
({ openai } = await getOpenAIClient({ req }));
}
for (const file of files) {
const source = file.source ?? FileSources.local;
if (source === FileSources.openai && !openai) {
({ openai } = await initializeClient({ req }));
if (checkOpenAIStorage(source) && !openai) {
({ openai } = await getOpenAIClient({ req }));
}
if (req.body.assistant_id) {
@ -180,12 +185,13 @@ const processFileURL = async ({ fileStrategy, userId, URL, fileName, basePath, c
*
* @param {Object} params - The parameters object.
* @param {Express.Request} params.req - The Express request object.
* @param {Express.Response} params.res - The Express response object.
* @param {Express.Response} [params.res] - The Express response object.
* @param {Express.Multer.File} params.file - The uploaded file.
* @param {ImageMetadata} params.metadata - Additional metadata for the file.
* @param {boolean} params.returnFile - Whether to return the file metadata or return response as normal.
* @returns {Promise<void>}
*/
const processImageFile = async ({ req, res, file, metadata }) => {
const processImageFile = async ({ req, res, file, metadata, returnFile = false }) => {
const source = req.app.locals.fileStrategy;
const { handleImageUpload } = getStrategyFunctions(source);
const { file_id, temp_file_id, endpoint } = metadata;
@ -213,6 +219,10 @@ const processImageFile = async ({ req, res, file, metadata }) => {
},
true,
);
if (returnFile) {
return result;
}
res.status(200).json({ message: 'File uploaded and processed successfully', ...result });
};
@ -274,28 +284,57 @@ const uploadImageBuffer = async ({ req, context, metadata = {}, resize = true })
* @returns {Promise<void>}
*/
const processFileUpload = async ({ req, res, file, metadata }) => {
const isAssistantUpload = metadata.endpoint === EModelEndpoint.assistants;
const source = isAssistantUpload ? FileSources.openai : FileSources.vectordb;
const isAssistantUpload = isAssistantsEndpoint(metadata.endpoint);
const assistantSource =
metadata.endpoint === EModelEndpoint.azureAssistants ? FileSources.azure : FileSources.openai;
const source = isAssistantUpload ? assistantSource : FileSources.vectordb;
const { handleFileUpload } = getStrategyFunctions(source);
const { file_id, temp_file_id } = metadata;
/** @type {OpenAI | undefined} */
let openai;
if (source === FileSources.openai) {
({ openai } = await initializeClient({ req }));
if (checkOpenAIStorage(source)) {
({ openai } = await getOpenAIClient({ req }));
}
const { id, bytes, filename, filepath, embedded } = await handleFileUpload({
const {
id,
bytes,
filename,
filepath: _filepath,
embedded,
height,
width,
} = await handleFileUpload({
req,
file,
file_id,
openai,
});
if (isAssistantUpload && !metadata.message_file) {
if (isAssistantUpload && !metadata.message_file && !metadata.tool_resource) {
await openai.beta.assistants.files.create(metadata.assistant_id, {
file_id: id,
});
} else if (isAssistantUpload && !metadata.message_file) {
await addResourceFileId({
req,
openai,
file_id: id,
assistant_id: metadata.assistant_id,
tool_resource: metadata.tool_resource,
});
}
let filepath = isAssistantUpload ? `${openai.baseURL}/files/${id}` : _filepath;
if (isAssistantUpload && file.mimetype.startsWith('image')) {
const result = await processImageFile({
req,
file,
metadata: { file_id: v4() },
returnFile: true,
});
filepath = result.filepath;
}
const result = await createFile(
@ -304,13 +343,15 @@ const processFileUpload = async ({ req, res, file, metadata }) => {
file_id: id ?? file_id,
temp_file_id,
bytes,
filepath,
filename: filename ?? file.originalname,
filepath: isAssistantUpload ? `${openai.baseURL}/files/${id}` : filepath,
context: isAssistantUpload ? FileContext.assistants : FileContext.message_attachment,
model: isAssistantUpload ? req.body.model : undefined,
type: file.mimetype,
embedded,
source,
height,
width,
},
true,
);
@ -500,7 +541,12 @@ async function retrieveAndProcessFile({
* Filters a file based on its size and the endpoint origin.
*
* @param {Object} params - The parameters for the function.
* @param {Express.Request} params.req - The request object from Express.
* @param {object} params.req - The request object from Express.
* @param {string} [params.req.endpoint]
* @param {string} [params.req.file_id]
* @param {number} [params.req.width]
* @param {number} [params.req.height]
* @param {number} [params.req.version]
* @param {Express.Multer.File} params.file - The file uploaded to the server via multer.
* @param {boolean} [params.image] - Whether the file expected is an image.
* @returns {void}

View file

@ -111,6 +111,8 @@ const getStrategyFunctions = (fileSource) => {
return localStrategy();
} else if (fileSource === FileSources.openai) {
return openAIStrategy();
} else if (fileSource === FileSources.azure) {
return openAIStrategy();
} else if (fileSource === FileSources.vectordb) {
return vectorStrategy();
} else {

View file

@ -167,6 +167,8 @@ const getOpenAIModels = async (opts) => {
if (opts.assistants) {
models = defaultModels[EModelEndpoint.assistants];
} else if (opts.azure) {
models = defaultModels[EModelEndpoint.azureAssistants];
}
if (opts.plugins) {

View file

@ -3,7 +3,6 @@ const { v4 } = require('uuid');
const {
Constants,
ContentTypes,
EModelEndpoint,
AnnotationTypes,
defaultOrderQuery,
} = require('librechat-data-provider');
@ -50,6 +49,7 @@ async function initThread({ openai, body, thread_id: _thread_id }) {
* @param {string} params.assistant_id - The current assistant Id.
* @param {string} params.thread_id - The thread Id.
* @param {string} params.conversationId - The message's conversationId
* @param {string} params.endpoint - The conversation endpoint
* @param {string} [params.parentMessageId] - Optional if initial message.
* Defaults to Constants.NO_PARENT.
* @param {string} [params.instructions] - Optional: from preset for `instructions` field.
@ -82,7 +82,7 @@ async function saveUserMessage(params) {
const userMessage = {
user: params.user,
endpoint: EModelEndpoint.assistants,
endpoint: params.endpoint,
messageId: params.messageId,
conversationId: params.conversationId,
parentMessageId: params.parentMessageId ?? Constants.NO_PARENT,
@ -96,7 +96,7 @@ async function saveUserMessage(params) {
};
const convo = {
endpoint: EModelEndpoint.assistants,
endpoint: params.endpoint,
conversationId: params.conversationId,
promptPrefix: params.promptPrefix,
instructions: params.instructions,
@ -126,6 +126,7 @@ async function saveUserMessage(params) {
* @param {string} params.model - The model used by the assistant.
* @param {ContentPart[]} params.content - The message content parts.
* @param {string} params.conversationId - The message's conversationId
* @param {string} params.endpoint - The conversation endpoint
* @param {string} params.parentMessageId - The latest user message that triggered this response.
* @param {string} [params.instructions] - Optional: from preset for `instructions` field.
* Overrides the instructions of the assistant.
@ -145,7 +146,7 @@ async function saveAssistantMessage(params) {
const message = await recordMessage({
user: params.user,
endpoint: EModelEndpoint.assistants,
endpoint: params.endpoint,
messageId: params.messageId,
conversationId: params.conversationId,
parentMessageId: params.parentMessageId,
@ -160,7 +161,7 @@ async function saveAssistantMessage(params) {
});
await saveConvo(params.user, {
endpoint: EModelEndpoint.assistants,
endpoint: params.endpoint,
conversationId: params.conversationId,
promptPrefix: params.promptPrefix,
instructions: params.instructions,
@ -205,20 +206,22 @@ async function addThreadMetadata({ openai, thread_id, messageId, messages }) {
*
* @param {Object} params - The parameters for synchronizing messages.
* @param {OpenAIClient} params.openai - The OpenAI client instance.
* @param {string} params.endpoint - The current endpoint.
* @param {string} params.thread_id - The current thread ID.
* @param {TMessage[]} params.dbMessages - The LibreChat DB messages.
* @param {ThreadMessage[]} params.apiMessages - The thread messages from the API.
* @param {string} params.conversationId - The current conversation ID.
* @param {string} params.thread_id - The current thread ID.
* @param {string} [params.assistant_id] - The current assistant ID.
* @param {string} params.conversationId - The current conversation ID.
* @return {Promise<TMessage[]>} A promise that resolves to the updated messages
*/
async function syncMessages({
openai,
apiMessages,
dbMessages,
conversationId,
endpoint,
thread_id,
dbMessages,
apiMessages,
assistant_id,
conversationId,
}) {
let result = [];
let dbMessageMap = new Map(dbMessages.map((msg) => [msg.messageId, msg]));
@ -290,7 +293,7 @@ async function syncMessages({
thread_id,
conversationId,
messageId: v4(),
endpoint: EModelEndpoint.assistants,
endpoint,
parentMessageId: lastMessage ? lastMessage.messageId : Constants.NO_PARENT,
role: apiMessage.role,
isCreatedByUser: apiMessage.role === 'user',
@ -382,13 +385,21 @@ function mapMessagesToSteps(steps, messages) {
*
* @param {Object} params - The parameters for initializing a thread.
* @param {OpenAIClient} params.openai - The OpenAI client instance.
* @param {string} params.endpoint - The current endpoint.
* @param {string} [params.latestMessageId] - Optional: The latest message ID from LibreChat.
* @param {string} params.thread_id - Response thread ID.
* @param {string} params.run_id - Response Run ID.
* @param {string} params.conversationId - LibreChat conversation ID.
* @return {Promise<TMessage[]>} A promise that resolves to the updated messages
*/
async function checkMessageGaps({ openai, latestMessageId, thread_id, run_id, conversationId }) {
async function checkMessageGaps({
openai,
endpoint,
latestMessageId,
thread_id,
run_id,
conversationId,
}) {
const promises = [];
promises.push(openai.beta.threads.messages.list(thread_id, defaultOrderQuery));
promises.push(openai.beta.threads.runs.steps.list(thread_id, run_id));
@ -406,6 +417,7 @@ async function checkMessageGaps({ openai, latestMessageId, thread_id, run_id, co
role: 'assistant',
run_id,
thread_id,
endpoint,
metadata: {
messageId: latestMessageId,
},
@ -452,11 +464,12 @@ async function checkMessageGaps({ openai, latestMessageId, thread_id, run_id, co
const syncedMessages = await syncMessages({
openai,
endpoint,
thread_id,
dbMessages,
apiMessages,
thread_id,
conversationId,
assistant_id,
conversationId,
});
return Object.values(
@ -498,41 +511,62 @@ const recordUsage = async ({
};
/**
* Safely replaces the annotated text within the specified range denoted by start_index and end_index,
* after verifying that the text within that range matches the given annotation text.
* Proceeds with the replacement even if a mismatch is found, but logs a warning.
* Creates a replaceAnnotation function with internal state for tracking the index offset.
*
* @param {string} originalText The original text content.
* @param {number} start_index The starting index where replacement should begin.
* @param {number} end_index The ending index where replacement should end.
* @param {string} expectedText The text expected to be found in the specified range.
* @param {string} replacementText The text to insert in place of the existing content.
* @returns {string} The text with the replacement applied, regardless of text match.
* @returns {function} The replaceAnnotation function with closure for index offset.
*/
function replaceAnnotation(originalText, start_index, end_index, expectedText, replacementText) {
if (start_index < 0 || end_index > originalText.length || start_index > end_index) {
logger.warn(`Invalid range specified for annotation replacement.
Attempting replacement with \`replace\` method instead...
length: ${originalText.length}
start_index: ${start_index}
end_index: ${end_index}`);
return originalText.replace(originalText, replacementText);
function createReplaceAnnotation() {
let indexOffset = 0;
/**
* Safely replaces the annotated text within the specified range denoted by start_index and end_index,
* after verifying that the text within that range matches the given annotation text.
* Proceeds with the replacement even if a mismatch is found, but logs a warning.
*
* @param {object} params The original text content.
* @param {string} params.currentText The current text content, with/without replacements.
* @param {number} params.start_index The starting index where replacement should begin.
* @param {number} params.end_index The ending index where replacement should end.
* @param {string} params.expectedText The text expected to be found in the specified range.
* @param {string} params.replacementText The text to insert in place of the existing content.
* @returns {string} The text with the replacement applied, regardless of text match.
*/
function replaceAnnotation({
currentText,
start_index,
end_index,
expectedText,
replacementText,
}) {
const adjustedStartIndex = start_index + indexOffset;
const adjustedEndIndex = end_index + indexOffset;
if (
adjustedStartIndex < 0 ||
adjustedEndIndex > currentText.length ||
adjustedStartIndex > adjustedEndIndex
) {
logger.warn(`Invalid range specified for annotation replacement.
Attempting replacement with \`replace\` method instead...
length: ${currentText.length}
start_index: ${adjustedStartIndex}
end_index: ${adjustedEndIndex}`);
return currentText.replace(expectedText, replacementText);
}
if (currentText.substring(adjustedStartIndex, adjustedEndIndex) !== expectedText) {
return currentText.replace(expectedText, replacementText);
}
indexOffset += replacementText.length - (adjustedEndIndex - adjustedStartIndex);
return (
currentText.slice(0, adjustedStartIndex) +
replacementText +
currentText.slice(adjustedEndIndex)
);
}
const actualTextInRange = originalText.substring(start_index, end_index);
if (actualTextInRange !== expectedText) {
logger.warn(`The text within the specified range does not match the expected annotation text.
Attempting replacement with \`replace\` method instead...
Expected: ${expectedText}
Actual: ${actualTextInRange}`);
return originalText.replace(originalText, replacementText);
}
const beforeText = originalText.substring(0, start_index);
const afterText = originalText.substring(end_index);
return beforeText + replacementText + afterText;
return replaceAnnotation;
}
/**
@ -581,6 +615,11 @@ async function processMessages({ openai, client, messages = [] }) {
continue;
}
const originalText = currentText;
text += originalText;
const replaceAnnotation = createReplaceAnnotation();
logger.debug('[processMessages] Processing annotations:', annotations);
for (const annotation of annotations) {
let file;
@ -589,14 +628,16 @@ async function processMessages({ openai, client, messages = [] }) {
const file_id = annotationType?.file_id;
const alreadyProcessed = client.processedFileIds.has(file_id);
const replaceCurrentAnnotation = (replacement = '') => {
currentText = replaceAnnotation(
const replaceCurrentAnnotation = (replacementText = '') => {
const { start_index, end_index, text: expectedText } = annotation;
currentText = replaceAnnotation({
originalText,
currentText,
annotation.start_index,
annotation.end_index,
annotation.text,
replacement,
);
start_index,
end_index,
expectedText,
replacementText,
});
edited = true;
};
@ -623,7 +664,7 @@ async function processMessages({ openai, client, messages = [] }) {
replaceCurrentAnnotation(`^${sources.length}^`);
}
text += currentText + ' ';
text = currentText;
if (!file) {
continue;

View file

@ -2,6 +2,7 @@ const {
Capabilities,
EModelEndpoint,
assistantEndpointSchema,
defaultAssistantsVersion,
} = require('librechat-data-provider');
const { logger } = require('~/config');
@ -12,6 +13,7 @@ const { logger } = require('~/config');
function azureAssistantsDefaults() {
return {
capabilities: [Capabilities.tools, Capabilities.actions, Capabilities.code_interpreter],
version: defaultAssistantsVersion.azureAssistants,
};
}

View file

@ -1,4 +1,10 @@
const { Capabilities, defaultRetrievalModels } = require('librechat-data-provider');
const {
Capabilities,
EModelEndpoint,
isAssistantsEndpoint,
defaultRetrievalModels,
defaultAssistantsVersion,
} = require('librechat-data-provider');
const { getCitations, citeText } = require('./citations');
const partialRight = require('lodash/partialRight');
const { sendMessage } = require('./streamResponse');
@ -154,9 +160,10 @@ const isUserProvided = (value) => value === 'user_provided';
* Generate the configuration for a given key and base URL.
* @param {string} key
* @param {string} baseURL
* @param {string} endpoint
* @returns {boolean | { userProvide: boolean, userProvideURL?: boolean }}
*/
function generateConfig(key, baseURL, assistants = false) {
function generateConfig(key, baseURL, endpoint) {
if (!key) {
return false;
}
@ -168,6 +175,8 @@ function generateConfig(key, baseURL, assistants = false) {
config.userProvideURL = isUserProvided(baseURL);
}
const assistants = isAssistantsEndpoint(endpoint);
if (assistants) {
config.retrievalModels = defaultRetrievalModels;
config.capabilities = [
@ -179,6 +188,12 @@ function generateConfig(key, baseURL, assistants = false) {
];
}
if (assistants && endpoint === EModelEndpoint.azureAssistants) {
config.version = defaultAssistantsVersion.azureAssistants;
} else if (assistants) {
config.version = defaultAssistantsVersion.assistants;
}
return config;
}

View file

@ -657,6 +657,12 @@
* @memberof typedefs
*/
/**
* @exports OpenAISpecClient
* @typedef {import('./app/clients/OpenAIClient')} OpenAISpecClient
* @memberof typedefs
*/
/**
* @exports ImportBatchBuilder
* @typedef {import('./server/utils/import/importBatchBuilder.js').ImportBatchBuilder} ImportBatchBuilder

View file

@ -4,7 +4,11 @@ import type { Option, ExtendedFile } from './types';
export type TAssistantOption =
| string
| (Option & Assistant & { files?: Array<[string, ExtendedFile]> });
| (Option &
Assistant & {
files?: Array<[string, ExtendedFile]>;
code_files?: Array<[string, ExtendedFile]>;
});
export type Actions = {
[Capabilities.code_interpreter]: boolean;

View file

@ -8,10 +8,12 @@ import type {
TPreset,
TPlugin,
TMessage,
Assistant,
TLoginUser,
AuthTypeEnum,
TConversation,
EModelEndpoint,
AssistantsEndpoint,
AuthorizationTypeEnum,
TSetOption as SetOption,
TokenExchangeMethodEnum,
@ -19,6 +21,13 @@ import type {
import type { UseMutationResult } from '@tanstack/react-query';
import type { LucideIcon } from 'lucide-react';
export type AssistantListItem = {
id: string;
name: string;
metadata: Assistant['metadata'];
model: string;
};
export type TPluginMap = Record<string, TPlugin>;
export type GenericSetter<T> = (value: T | ((currentValue: T) => T)) => void;
@ -101,6 +110,8 @@ export type AssistantPanelProps = {
actions?: Action[];
assistant_id?: string;
activePanel?: string;
endpoint: AssistantsEndpoint;
version: number | string;
setAction: React.Dispatch<React.SetStateAction<Action | undefined>>;
setCurrentAssistantId: React.Dispatch<React.SetStateAction<string | undefined>>;
setActivePanel: React.Dispatch<React.SetStateAction<Panel>>;
@ -327,7 +338,11 @@ export type Option = Record<string, unknown> & {
};
export type OptionWithIcon = Option & { icon?: React.ReactNode };
export type MentionOption = OptionWithIcon & { type: string; value: string; description?: string };
export type MentionOption = OptionWithIcon & {
type: string;
value: string;
description?: string;
};
export type TOptionSettings = {
showExamples?: boolean;

View file

@ -3,8 +3,8 @@ import { useForm } from 'react-hook-form';
import { memo, useCallback, useRef, useMemo } from 'react';
import {
supportsFiles,
EModelEndpoint,
mergeFileConfig,
isAssistantsEndpoint,
fileConfig as defaultFileConfig,
} from 'librechat-data-provider';
import { useChatContext, useAssistantsMapContext } from '~/Providers';
@ -74,8 +74,9 @@ const ChatForm = ({ index = 0 }) => {
const endpointFileConfig = fileConfig.endpoints[endpoint ?? ''];
const invalidAssistant = useMemo(
() =>
conversation?.endpoint === EModelEndpoint.assistants &&
(!conversation?.assistant_id || !assistantMap?.[conversation?.assistant_id ?? '']),
isAssistantsEndpoint(conversation?.endpoint) &&
(!conversation?.assistant_id ||
!assistantMap?.[conversation?.endpoint ?? '']?.[conversation?.assistant_id ?? '']),
[conversation?.assistant_id, conversation?.endpoint, assistantMap],
);
const disableInputs = useMemo(

View file

@ -20,7 +20,7 @@ const FilePreview = ({
}) => {
const radius = 55; // Radius of the SVG circle
const circumference = 2 * Math.PI * radius;
const progress = useProgress(file?.['progress'] ?? 1, 0.001, file?.size ?? 1);
const progress = useProgress(file?.['progress'] ?? 1, 0.001, (file as ExtendedFile)?.size ?? 1);
console.log(progress);
// Calculate the offset based on the loading progress

View file

@ -17,7 +17,9 @@ export default function Mention({
}) {
const localize = useLocalize();
const assistantMap = useAssistantsMapContext();
const { options, modelsConfig, assistants, onSelectMention } = useMentions({ assistantMap });
const { options, modelsConfig, assistantListMap, onSelectMention } = useMentions({
assistantMap,
});
const [activeIndex, setActiveIndex] = useState(0);
const timeoutRef = useRef<NodeJS.Timeout | null>(null);
@ -47,7 +49,12 @@ export default function Mention({
if (mention.type === 'endpoint' && mention.value === EModelEndpoint.assistants) {
setSearchValue('');
setInputOptions(assistants);
setInputOptions(assistantListMap[EModelEndpoint.assistants]);
setActiveIndex(0);
inputRef.current?.focus();
} else if (mention.type === 'endpoint' && mention.value === EModelEndpoint.azureAssistants) {
setSearchValue('');
setInputOptions(assistantListMap[EModelEndpoint.azureAssistants]);
setActiveIndex(0);
inputRef.current?.focus();
} else if (mention.type === 'endpoint') {

View file

@ -1,4 +1,4 @@
import { EModelEndpoint } from 'librechat-data-provider';
import { EModelEndpoint, isAssistantsEndpoint } from 'librechat-data-provider';
import { useGetEndpointsQuery, useGetStartupConfig } from 'librechat-data-provider/react-query';
import type { ReactNode } from 'react';
import { TooltipProvider, Tooltip, TooltipTrigger, TooltipContent } from '~/components/ui';
@ -30,7 +30,8 @@ export default function Landing({ Header }: { Header?: ReactNode }) {
const iconURL = conversation?.iconURL;
endpoint = getIconEndpoint({ endpointsConfig, iconURL, endpoint });
const assistant = endpoint === EModelEndpoint.assistants && assistantMap?.[assistant_id ?? ''];
const isAssistant = isAssistantsEndpoint(endpoint);
const assistant = isAssistant && assistantMap?.[endpoint]?.[assistant_id ?? ''];
const assistantName = (assistant && assistant?.name) || '';
const assistantDesc = (assistant && assistant?.description) || '';
const avatar = (assistant && (assistant?.metadata?.avatar as string)) || '';
@ -77,7 +78,7 @@ export default function Landing({ Header }: { Header?: ReactNode }) {
</div>
) : (
<div className="mb-5 max-w-[75vh] px-12 text-center text-lg font-medium dark:text-white md:px-0 md:text-2xl">
{endpoint === EModelEndpoint.assistants
{isAssistant
? conversation?.greeting ?? localize('com_nav_welcome_assistant')
: conversation?.greeting ?? localize('com_nav_welcome_message')}
</div>

View file

@ -15,6 +15,24 @@ import {
import UnknownIcon from './UnknownIcon';
import { cn } from '~/utils';
const AssistantAvatar = ({ className = '', assistantName, avatar, size }: IconMapProps) => {
if (assistantName && avatar) {
return (
<img
src={avatar}
className="bg-token-surface-secondary dark:bg-token-surface-tertiary h-full w-full rounded-full object-cover"
alt={assistantName}
width="80"
height="80"
/>
);
} else if (assistantName) {
return <AssistantIcon className={cn('text-token-secondary', className)} size={size} />;
}
return <Sparkles className={cn(assistantName === '' ? 'icon-2xl' : '', className)} />;
};
export const icons = {
[EModelEndpoint.azureOpenAI]: AzureMinimalIcon,
[EModelEndpoint.openAI]: GPTIcon,
@ -24,22 +42,7 @@ export const icons = {
[EModelEndpoint.google]: GoogleMinimalIcon,
[EModelEndpoint.bingAI]: BingAIMinimalIcon,
[EModelEndpoint.custom]: CustomMinimalIcon,
[EModelEndpoint.assistants]: ({ className = '', assistantName, avatar, size }: IconMapProps) => {
if (assistantName && avatar) {
return (
<img
src={avatar}
className="bg-token-surface-secondary dark:bg-token-surface-tertiary h-full w-full rounded-full object-cover"
alt={assistantName}
width="80"
height="80"
/>
);
} else if (assistantName) {
return <AssistantIcon className={cn('text-token-secondary', className)} size={size} />;
}
return <Sparkles className={cn(assistantName === '' ? 'icon-2xl' : '', className)} />;
},
[EModelEndpoint.assistants]: AssistantAvatar,
[EModelEndpoint.azureAssistants]: AssistantAvatar,
unknown: UnknownIcon,
};

View file

@ -1,5 +1,5 @@
import { Content, Portal, Root } from '@radix-ui/react-popover';
import { alternateName, EModelEndpoint } from 'librechat-data-provider';
import { alternateName, isAssistantsEndpoint } from 'librechat-data-provider';
import { useGetEndpointsQuery } from 'librechat-data-provider/react-query';
import type { FC } from 'react';
import { useChatContext, useAssistantsMapContext } from '~/Providers';
@ -16,7 +16,8 @@ const EndpointsMenu: FC = () => {
const { endpoint = '', assistant_id = null } = conversation ?? {};
const assistantMap = useAssistantsMapContext();
const assistant = endpoint === EModelEndpoint.assistants && assistantMap?.[assistant_id ?? ''];
const assistant =
isAssistantsEndpoint(endpoint) && assistantMap?.[endpoint ?? '']?.[assistant_id ?? ''];
const assistantName = (assistant && assistant?.name) || 'Assistant';
if (!endpoint) {

View file

@ -1,6 +1,7 @@
import { useState } from 'react';
import { useRecoilValue } from 'recoil';
import ProgressCircle from './ProgressCircle';
import CancelledIcon from './CancelledIcon';
import ProgressText from './ProgressText';
import FinishedIcon from './FinishedIcon';
import MarkdownLite from './MarkdownLite';
@ -11,10 +12,12 @@ export default function CodeAnalyze({
initialProgress = 0.1,
code,
outputs = [],
isSubmitting,
}: {
initialProgress: number;
code: string;
outputs: Record<string, unknown>[];
isSubmitting: boolean;
}) {
const showCodeDefault = useRecoilValue(store.showCode);
const [showCode, setShowCode] = useState(showCodeDefault);
@ -35,7 +38,13 @@ export default function CodeAnalyze({
<div className="my-2.5 flex items-center gap-2.5">
<div className="relative h-5 w-5 shrink-0">
{progress < 1 ? (
<CodeInProgress offset={offset} circumference={circumference} radius={radius} />
<CodeInProgress
offset={offset}
radius={radius}
progress={progress}
isSubmitting={isSubmitting}
circumference={circumference}
/>
) : (
<FinishedIcon />
)}
@ -74,18 +83,25 @@ const CodeInProgress = ({
offset,
circumference,
radius,
isSubmitting,
progress,
}: {
progress: number;
offset: number;
circumference: number;
radius: number;
isSubmitting: boolean;
}) => {
if (progress < 1 && !isSubmitting) {
return <CancelledIcon />;
}
return (
<div
className="absolute left-0 top-0 flex h-full w-full items-center justify-center rounded-full bg-transparent text-white"
style={{ opacity: 1, transform: 'none' }}
data-projection-id="77"
>
<div className='absolute right-[1.5px] bottom-[1.5px]'>
<div className="absolute bottom-[1.5px] right-[1.5px]">
<svg
xmlns="http://www.w3.org/2000/svg"
xmlnsXlink="http://www.w3.org/1999/xlink"

View file

@ -79,11 +79,13 @@ export default function Part({
initialProgress={toolCall.progress ?? 0.1}
code={code_interpreter.input}
outputs={code_interpreter.outputs ?? []}
isSubmitting={isSubmitting}
/>
);
} else if (
part.type === ContentTypes.TOOL_CALL &&
part[ContentTypes.TOOL_CALL].type === ToolCallTypes.RETRIEVAL
(part[ContentTypes.TOOL_CALL].type === ToolCallTypes.RETRIEVAL ||
part[ContentTypes.TOOL_CALL].type === ToolCallTypes.FILE_SEARCH)
) {
const toolCall = part[ContentTypes.TOOL_CALL];
return <RetrievalCall initialProgress={toolCall.progress ?? 0.1} isSubmitting={isSubmitting} />;

View file

@ -1,5 +1,4 @@
import { useState } from 'react';
import { EModelEndpoint } from 'librechat-data-provider';
import type { TConversation, TMessage } from 'librechat-data-provider';
import { Clipboard, CheckMark, EditIcon, RegenerateIcon, ContinueIcon } from '~/components/svg';
import { useGenerationsByLatest, useLocalize } from '~/hooks';
@ -35,14 +34,19 @@ export default function HoverButtons({
const { endpoint: _endpoint, endpointType } = conversation ?? {};
const endpoint = endpointType ?? _endpoint;
const [isCopied, setIsCopied] = useState(false);
const { hideEditButton, regenerateEnabled, continueSupported, forkingSupported } =
useGenerationsByLatest({
isEditing,
isSubmitting,
message,
endpoint: endpoint ?? '',
latestMessage,
});
const {
hideEditButton,
regenerateEnabled,
continueSupported,
forkingSupported,
isEditableEndpoint,
} = useGenerationsByLatest({
isEditing,
isSubmitting,
message,
endpoint: endpoint ?? '',
latestMessage,
});
if (!conversation) {
return null;
}
@ -58,7 +62,7 @@ export default function HoverButtons({
return (
<div className="visible mt-0 flex justify-center gap-1 self-end text-gray-400 lg:justify-start">
{endpoint !== EModelEndpoint.assistants && (
{isEditableEndpoint && (
<button
className={cn(
'hover-button rounded-md p-1 text-gray-400 hover:text-gray-900 dark:text-gray-400/70 dark:hover:text-gray-200 disabled:dark:hover:text-gray-400 md:group-hover:visible md:group-[.final-completion]:visible',

View file

@ -1,8 +1,13 @@
import { EModelEndpoint } from 'librechat-data-provider';
import type { Assistant, TConversation, TEndpointsConfig, TPreset } from 'librechat-data-provider';
import { isAssistantsEndpoint } from 'librechat-data-provider';
import type {
TAssistantsMap,
TConversation,
TEndpointsConfig,
TPreset,
} from 'librechat-data-provider';
import { getEndpointField, getIconKey, getIconEndpoint } from '~/utils';
import { icons } from '~/components/Chat/Menus/Endpoints/Icons';
import ConvoIconURL from '~/components/Endpoints/ConvoIconURL';
import { getEndpointField, getIconKey, getIconEndpoint } from '~/utils';
export default function ConvoIcon({
conversation,
@ -15,7 +20,7 @@ export default function ConvoIcon({
}: {
conversation: TConversation | TPreset | null;
endpointsConfig: TEndpointsConfig;
assistantMap: Record<string, Assistant>;
assistantMap: TAssistantsMap;
containerClassName?: string;
context?: 'message' | 'nav' | 'landing' | 'menu-item';
className?: string;
@ -25,7 +30,7 @@ export default function ConvoIcon({
let endpoint = conversation?.endpoint;
endpoint = getIconEndpoint({ endpointsConfig, iconURL, endpoint });
const assistant =
endpoint === EModelEndpoint.assistants && assistantMap?.[conversation?.assistant_id ?? ''];
isAssistantsEndpoint(endpoint) && assistantMap?.[endpoint]?.[conversation?.assistant_id ?? ''];
const assistantName = (assistant && assistant?.name) || '';
const avatar = (assistant && (assistant?.metadata?.avatar as string)) || '';

View file

@ -1,5 +1,10 @@
import { EModelEndpoint } from 'librechat-data-provider';
import type { Assistant, TConversation, TEndpointsConfig, TPreset } from 'librechat-data-provider';
import { isAssistantsEndpoint } from 'librechat-data-provider';
import type {
TConversation,
TEndpointsConfig,
TPreset,
TAssistantsMap,
} from 'librechat-data-provider';
import ConvoIconURL from '~/components/Endpoints/ConvoIconURL';
import MinimalIcon from '~/components/Endpoints/MinimalIcon';
import { getEndpointField, getIconEndpoint } from '~/utils';
@ -15,7 +20,7 @@ export default function EndpointIcon({
endpointsConfig: TEndpointsConfig;
containerClassName?: string;
context?: 'message' | 'nav' | 'landing' | 'menu-item';
assistantMap?: Record<string, Assistant>;
assistantMap?: TAssistantsMap;
className?: string;
size?: number;
}) {
@ -27,7 +32,7 @@ export default function EndpointIcon({
const endpointIconURL = getEndpointField(endpointsConfig, endpoint, 'iconURL');
const assistant =
endpoint === EModelEndpoint.assistants && assistantMap?.[conversation?.assistant_id ?? ''];
isAssistantsEndpoint(endpoint) && assistantMap?.[endpoint]?.[conversation?.assistant_id ?? ''];
const assistantAvatar = (assistant && (assistant?.metadata?.avatar as string)) || '';
const assistantName = (assistant && assistant?.name) || '';

View file

@ -42,6 +42,7 @@ const MinimalIcon: React.FC<IconProps> = (props) => {
[EModelEndpoint.bingAI]: { icon: <BingAIMinimalIcon />, name: 'BingAI' },
[EModelEndpoint.chatGPTBrowser]: { icon: <LightningIcon />, name: 'ChatGPT' },
[EModelEndpoint.assistants]: { icon: <Sparkles className="icon-sm" />, name: 'Assistant' },
[EModelEndpoint.azureAssistants]: { icon: <Sparkles className="icon-sm" />, name: 'Assistant' },
default: {
icon: (
<UnknownIcon

View file

@ -1,5 +1,7 @@
import TextareaAutosize from 'react-textarea-autosize';
import { ImageDetail, imageDetailNumeric, imageDetailValue } from 'librechat-data-provider';
import type { ValueType } from '@rc-component/mini-decimal';
import type { TModelSelectProps } from '~/common';
import {
Input,
Label,
@ -11,7 +13,6 @@ import {
} from '~/components/ui';
import { cn, defaultTextProps, optionText, removeFocusOutlines } from '~/utils/';
import { useLocalize, useDebouncedInput } from '~/hooks';
import type { TModelSelectProps } from '~/common';
import OptionHover from './OptionHover';
import { ESide } from '~/common';
@ -127,7 +128,7 @@ export default function Settings({
id="temp-int"
disabled={readonly}
value={temperatureValue as number}
onChange={setTemperature}
onChange={setTemperature as (value: ValueType | null) => void}
max={2}
min={0}
step={0.01}

View file

@ -1,12 +1,10 @@
import { useState, useMemo, useEffect } from 'react';
import TextareaAutosize from 'react-textarea-autosize';
import { defaultOrderQuery } from 'librechat-data-provider';
import type { TPreset } from 'librechat-data-provider';
import type { TModelSelectProps, Option } from '~/common';
import { Label, HoverCard, SelectDropDown, HoverCardTrigger } from '~/components/ui';
import { cn, defaultTextProps, removeFocusOutlines, mapAssistants } from '~/utils';
import { useLocalize, useDebouncedInput } from '~/hooks';
import { useListAssistantsQuery } from '~/data-provider';
import { useLocalize, useDebouncedInput, useAssistantListMap } from '~/hooks';
import OptionHover from './OptionHover';
import { ESide } from '~/common';
@ -17,23 +15,21 @@ export default function Settings({ conversation, setOption, models, readonly }:
[localize],
);
const { data: assistants = [] } = useListAssistantsQuery(defaultOrderQuery, {
select: (res) =>
[
defaultOption,
...res.data.map(({ id, name }) => ({
label: name,
value: id,
})),
].filter(Boolean),
});
const { data: assistantMap = {} } = useListAssistantsQuery(defaultOrderQuery, {
select: (res) => mapAssistants(res.data),
});
const assistantListMap = useAssistantListMap((res) => mapAssistants(res.data));
const { model, endpoint, assistant_id, endpointType, promptPrefix, instructions } =
conversation ?? {};
const assistants = useMemo(() => {
return [
defaultOption,
...(assistantListMap[endpoint ?? ''] ?? []).map(({ id, name }) => ({
label: name,
value: id,
})),
].filter(Boolean);
}, [assistantListMap, endpoint, defaultOption]);
const [onPromptPrefixChange, promptPrefixValue] = useDebouncedInput({
setOption,
optionKey: 'promptPrefix',
@ -47,11 +43,11 @@ export default function Settings({ conversation, setOption, models, readonly }:
const activeAssistant = useMemo(() => {
if (assistant_id) {
return assistantMap[assistant_id];
return assistantListMap[endpoint ?? '']?.[assistant_id];
}
return null;
}, [assistant_id, assistantMap]);
}, [assistant_id, assistantListMap, endpoint]);
const modelOptions = useMemo(() => {
return models.map((model) => ({
@ -89,7 +85,7 @@ export default function Settings({ conversation, setOption, models, readonly }:
return;
}
const assistant = assistantMap[value];
const assistant = assistantListMap[endpoint ?? '']?.[value];
if (!assistant) {
setAssistantValue(defaultOption);
return;

View file

@ -9,6 +9,7 @@ import OpenAISettings from './OpenAI';
const settings: { [key: string]: FC<TModelSelectProps> } = {
[EModelEndpoint.assistants]: AssistantsSettings,
[EModelEndpoint.azureAssistants]: AssistantsSettings,
[EModelEndpoint.openAI]: OpenAISettings,
[EModelEndpoint.custom]: OpenAISettings,
[EModelEndpoint.azureOpenAI]: OpenAISettings,

View file

@ -1,6 +1,6 @@
import React, { useState } from 'react';
import { useForm, FormProvider } from 'react-hook-form';
import { EModelEndpoint, alternateName } from 'librechat-data-provider';
import { EModelEndpoint, alternateName, isAssistantsEndpoint } from 'librechat-data-provider';
import { useGetEndpointsQuery } from 'librechat-data-provider/react-query';
import type { TDialogProps } from '~/common';
import DialogTemplate from '~/components/ui/DialogTemplate';
@ -21,6 +21,7 @@ const endpointComponents = {
[EModelEndpoint.azureOpenAI]: OpenAIConfig,
[EModelEndpoint.gptPlugins]: OpenAIConfig,
[EModelEndpoint.assistants]: OpenAIConfig,
[EModelEndpoint.azureAssistants]: OpenAIConfig,
default: OtherConfig,
};
@ -30,6 +31,7 @@ const formSet: Set<string> = new Set([
EModelEndpoint.azureOpenAI,
EModelEndpoint.gptPlugins,
EModelEndpoint.assistants,
EModelEndpoint.azureAssistants,
]);
const EXPIRY = {
@ -97,7 +99,7 @@ const SetKeyDialog = ({
isAzure ||
endpoint === EModelEndpoint.openAI ||
endpoint === EModelEndpoint.gptPlugins ||
endpoint === EModelEndpoint.assistants;
isAssistantsEndpoint(endpoint);
if (isAzure) {
data.apiKey = 'n/a';
}

View file

@ -1,10 +1,10 @@
import { useEffect, useMemo } from 'react';
import { Combobox } from '~/components/ui';
import { EModelEndpoint, defaultOrderQuery, LocalStorageKeys } from 'librechat-data-provider';
import type { SwitcherProps } from '~/common';
import { useSetIndexOptions, useSelectAssistant, useLocalize } from '~/hooks';
import { isAssistantsEndpoint, LocalStorageKeys } from 'librechat-data-provider';
import type { AssistantsEndpoint } from 'librechat-data-provider';
import type { SwitcherProps, AssistantListItem } from '~/common';
import { useSetIndexOptions, useSelectAssistant, useLocalize, useAssistantListMap } from '~/hooks';
import { useChatContext, useAssistantsMapContext } from '~/Providers';
import { useListAssistantsQuery } from '~/data-provider';
import Icon from '~/components/Endpoints/Icon';
export default function AssistantSwitcher({ isCollapsed }: SwitcherProps) {
@ -15,26 +15,29 @@ export default function AssistantSwitcher({ isCollapsed }: SwitcherProps) {
/* `selectedAssistant` must be defined with `null` to cause re-render on update */
const { assistant_id: selectedAssistant = null, endpoint } = conversation ?? {};
const { data: assistants = [] } = useListAssistantsQuery(defaultOrderQuery, {
select: (res) => res.data.map(({ id, name, metadata }) => ({ id, name, metadata })),
});
const assistantListMap = useAssistantListMap((res) =>
res.data.map(({ id, name, metadata }) => ({ id, name, metadata })),
);
const assistants: Omit<AssistantListItem, 'model'>[] = useMemo(
() => assistantListMap[endpoint ?? ''] ?? [],
[endpoint, assistantListMap],
);
const assistantMap = useAssistantsMapContext();
const { onSelect } = useSelectAssistant();
const { onSelect } = useSelectAssistant(endpoint as AssistantsEndpoint);
useEffect(() => {
if (!selectedAssistant && assistants && assistants.length && assistantMap) {
const assistant_id =
localStorage.getItem(`${LocalStorageKeys.ASST_ID_PREFIX}${index}`) ??
localStorage.getItem(`${LocalStorageKeys.ASST_ID_PREFIX}${index}${endpoint}`) ??
assistants[0]?.id ??
'';
const assistant = assistantMap?.[assistant_id];
const assistant = assistantMap?.[endpoint ?? '']?.[assistant_id];
if (!assistant) {
return;
}
if (endpoint !== EModelEndpoint.assistants) {
if (!isAssistantsEndpoint(endpoint)) {
return;
}
@ -43,7 +46,7 @@ export default function AssistantSwitcher({ isCollapsed }: SwitcherProps) {
}
}, [index, assistants, selectedAssistant, assistantMap, endpoint, setOption]);
const currentAssistant = assistantMap?.[selectedAssistant ?? ''];
const currentAssistant = assistantMap?.[endpoint ?? '']?.[selectedAssistant ?? ''];
const assistantOptions = useMemo(() => {
return assistants.map((assistant) => {
@ -53,14 +56,14 @@ export default function AssistantSwitcher({ isCollapsed }: SwitcherProps) {
icon: (
<Icon
isCreatedByUser={false}
endpoint={EModelEndpoint.assistants}
endpoint={endpoint}
assistantName={assistant.name ?? ''}
iconURL={(assistant.metadata?.avatar as string) ?? ''}
/>
),
};
});
}, [assistants]);
}, [assistants, endpoint]);
return (
<Combobox
@ -78,7 +81,7 @@ export default function AssistantSwitcher({ isCollapsed }: SwitcherProps) {
SelectIcon={
<Icon
isCreatedByUser={false}
endpoint={EModelEndpoint.assistants}
endpoint={endpoint}
assistantName={currentAssistant?.name ?? ''}
iconURL={(currentAssistant?.metadata?.avatar as string) ?? ''}
/>

View file

@ -7,10 +7,11 @@ import {
AuthTypeEnum,
} from 'librechat-data-provider';
import type {
ValidationResult,
Action,
FunctionTool,
ActionMetadata,
ValidationResult,
AssistantsEndpoint,
} from 'librechat-data-provider';
import type { ActionAuthForm } from '~/common';
import type { Spec } from './ActionsTable';
@ -32,10 +33,14 @@ const debouncedValidation = debounce(
export default function ActionsInput({
action,
assistant_id,
endpoint,
version,
setAction,
}: {
action?: Action;
assistant_id?: string;
endpoint: AssistantsEndpoint;
version: number | string;
setAction: React.Dispatch<React.SetStateAction<Action | undefined>>;
}) {
const handleResult = (result: ValidationResult) => {
@ -173,7 +178,9 @@ export default function ActionsInput({
metadata,
functions,
assistant_id,
model: assistantMap[assistant_id].model,
endpoint,
version,
model: assistantMap[endpoint][assistant_id].model,
});
});

View file

@ -18,9 +18,11 @@ import { Panel } from '~/common';
export default function ActionsPanel({
// activePanel,
action,
endpoint,
version,
setAction,
setActivePanel,
assistant_id,
setActivePanel,
}: AssistantPanelProps) {
const localize = useLocalize();
const { showToast } = useToastContext();
@ -130,9 +132,10 @@ export default function ActionsPanel({
const confirmed = confirm('Are you sure you want to delete this action?');
if (confirmed) {
deleteAction.mutate({
model: assistantMap[assistant_id].model,
model: assistantMap[endpoint][assistant_id].model,
action_id: action.action_id,
assistant_id,
endpoint,
});
}
}}
@ -185,7 +188,13 @@ export default function ActionsPanel({
</DialogTrigger>
<ActionsAuth setOpenAuthDialog={setOpenAuthDialog} />
</Dialog>
<ActionsInput action={action} assistant_id={assistant_id} setAction={setAction} />
<ActionsInput
action={action}
assistant_id={assistant_id}
setAction={setAction}
endpoint={endpoint}
version={version}
/>
</div>
</form>
</FormProvider>

View file

@ -10,9 +10,10 @@ import {
import type { UseMutationResult } from '@tanstack/react-query';
import type {
Metadata,
AssistantListResponse,
Assistant,
AssistantsEndpoint,
AssistantCreateParams,
AssistantListResponse,
} from 'librechat-data-provider';
import { useUploadAssistantAvatarMutation, useGetFileConfig } from '~/data-provider';
import { AssistantAvatar, NoImage, AvatarMenu } from './Images';
@ -22,10 +23,14 @@ import { useLocalize } from '~/hooks';
// import { cn } from '~/utils/';
function Avatar({
endpoint,
version,
assistant_id,
metadata,
createMutation,
}: {
endpoint: AssistantsEndpoint;
version: number | string;
assistant_id: string | null;
metadata: null | Metadata;
createMutation: UseMutationResult<Assistant, Error, AssistantCreateParams>;
@ -46,8 +51,8 @@ function Avatar({
const { showToast } = useToastContext();
const activeModel = useMemo(() => {
return assistantsMap[assistant_id ?? '']?.model ?? '';
}, [assistant_id, assistantsMap]);
return assistantsMap[endpoint][assistant_id ?? '']?.model ?? '';
}, [assistantsMap, endpoint, assistant_id]);
const { mutate: uploadAvatar } = useUploadAssistantAvatarMutation({
onMutate: () => {
@ -65,6 +70,7 @@ function Avatar({
const res = queryClient.getQueryData<AssistantListResponse>([
QueryKeys.assistants,
endpoint,
defaultOrderQuery,
]);
@ -83,10 +89,13 @@ function Avatar({
return assistant;
}) ?? [];
queryClient.setQueryData<AssistantListResponse>([QueryKeys.assistants, defaultOrderQuery], {
...res,
data: assistants,
});
queryClient.setQueryData<AssistantListResponse>(
[QueryKeys.assistants, endpoint, defaultOrderQuery],
{
...res,
data: assistants,
},
);
setProgress(1);
},
@ -149,9 +158,20 @@ function Avatar({
model: activeModel,
postCreation: true,
formData,
endpoint,
version,
});
}
}, [createMutation.data, createMutation.isSuccess, input, previewUrl, uploadAvatar, activeModel]);
}, [
createMutation.data,
createMutation.isSuccess,
input,
previewUrl,
uploadAvatar,
activeModel,
endpoint,
version,
]);
const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>): void => {
const file = event.target.files?.[0];
@ -183,6 +203,8 @@ function Avatar({
assistant_id,
model: activeModel,
formData,
endpoint,
version,
});
} else {
showToast({

View file

@ -1,23 +1,23 @@
import { useState, useMemo, useEffect } from 'react';
import { useState, useMemo } from 'react';
import { useQueryClient } from '@tanstack/react-query';
import { useForm, FormProvider, Controller, useWatch } from 'react-hook-form';
import { useGetModelsQuery, useGetEndpointsQuery } from 'librechat-data-provider/react-query';
import { useGetModelsQuery } from 'librechat-data-provider/react-query';
import {
Tools,
QueryKeys,
Capabilities,
EModelEndpoint,
actionDelimiter,
ImageVisionTool,
defaultAssistantFormValues,
} from 'librechat-data-provider';
import type { FunctionTool, TConfig, TPlugin } from 'librechat-data-provider';
import type { AssistantForm, AssistantPanelProps } from '~/common';
import type { FunctionTool, TPlugin, TEndpointsConfig } from 'librechat-data-provider';
import { useCreateAssistantMutation, useUpdateAssistantMutation } from '~/data-provider';
import { SelectDropDown, Checkbox, QuestionMark } from '~/components/ui';
import { useAssistantsMapContext, useToastContext } from '~/Providers';
import { useSelectAssistant, useLocalize } from '~/hooks';
import { ToolSelectDialog } from '~/components/Tools';
import CapabilitiesForm from './CapabilitiesForm';
import { SelectDropDown } from '~/components/ui';
import AssistantAvatar from './AssistantAvatar';
import AssistantSelect from './AssistantSelect';
import AssistantAction from './AssistantAction';
@ -35,17 +35,20 @@ const inputClass =
export default function AssistantPanel({
// index = 0,
setAction,
endpoint,
actions = [],
setActivePanel,
assistant_id: current_assistant_id,
setCurrentAssistantId,
}: AssistantPanelProps) {
assistantsConfig,
version,
}: AssistantPanelProps & { assistantsConfig?: TConfig | null }) {
const queryClient = useQueryClient();
const modelsQuery = useGetModelsQuery();
const assistantMap = useAssistantsMapContext();
const { data: endpointsConfig = {} as TEndpointsConfig } = useGetEndpointsQuery();
const allTools = queryClient.getQueryData<TPlugin[]>([QueryKeys.tools]) ?? [];
const { onSelect: onSelectAssistant } = useSelectAssistant();
const { onSelect: onSelectAssistant } = useSelectAssistant(endpoint);
const { showToast } = useToastContext();
const localize = useLocalize();
@ -55,44 +58,31 @@ export default function AssistantPanel({
const [showToolDialog, setShowToolDialog] = useState(false);
const { control, handleSubmit, reset, setValue, getValues } = methods;
const { control, handleSubmit, reset } = methods;
const assistant = useWatch({ control, name: 'assistant' });
const functions = useWatch({ control, name: 'functions' });
const assistant_id = useWatch({ control, name: 'id' });
const model = useWatch({ control, name: 'model' });
const activeModel = useMemo(() => {
return assistantMap?.[assistant_id]?.model;
}, [assistantMap, assistant_id]);
return assistantMap?.[endpoint]?.[assistant_id]?.model;
}, [assistantMap, endpoint, assistant_id]);
const assistants = useMemo(() => endpointsConfig?.[EModelEndpoint.assistants], [endpointsConfig]);
const retrievalModels = useMemo(() => new Set(assistants?.retrievalModels ?? []), [assistants]);
const toolsEnabled = useMemo(
() => assistants?.capabilities?.includes(Capabilities.tools),
[assistants],
() => assistantsConfig?.capabilities?.includes(Capabilities.tools),
[assistantsConfig],
);
const actionsEnabled = useMemo(
() => assistants?.capabilities?.includes(Capabilities.actions),
[assistants],
() => assistantsConfig?.capabilities?.includes(Capabilities.actions),
[assistantsConfig],
);
const retrievalEnabled = useMemo(
() => assistants?.capabilities?.includes(Capabilities.retrieval),
[assistants],
() => assistantsConfig?.capabilities?.includes(Capabilities.retrieval),
[assistantsConfig],
);
const codeEnabled = useMemo(
() => assistants?.capabilities?.includes(Capabilities.code_interpreter),
[assistants],
() => assistantsConfig?.capabilities?.includes(Capabilities.code_interpreter),
[assistantsConfig],
);
const imageVisionEnabled = useMemo(
() => assistants?.capabilities?.includes(Capabilities.image_vision),
[assistants],
);
useEffect(() => {
if (model && !retrievalModels.has(model)) {
setValue(Capabilities.retrieval, false);
}
}, [model, setValue, retrievalModels]);
/* Mutations */
const update = useUpdateAssistantMutation({
@ -145,7 +135,7 @@ export default function AssistantPanel({
if (!functionName.includes(actionDelimiter)) {
return functionName;
} else {
const assistant = assistantMap?.[assistant_id];
const assistant = assistantMap?.[endpoint]?.[assistant_id];
const tool = assistant?.tools?.find((tool) => tool.function?.name === functionName);
if (assistant && tool) {
return tool;
@ -160,7 +150,7 @@ export default function AssistantPanel({
tools.push({ type: Tools.code_interpreter });
}
if (data.retrieval) {
tools.push({ type: Tools.retrieval });
tools.push({ type: version == 2 ? Tools.file_search : Tools.retrieval });
}
if (data.image_vision) {
tools.push(ImageVisionTool);
@ -183,6 +173,7 @@ export default function AssistantPanel({
instructions,
model,
tools,
endpoint,
},
});
return;
@ -194,6 +185,8 @@ export default function AssistantPanel({
instructions,
model,
tools,
endpoint,
version,
});
};
@ -211,6 +204,7 @@ export default function AssistantPanel({
<AssistantSelect
reset={reset}
value={field.value}
endpoint={endpoint}
setCurrentAssistantId={setCurrentAssistantId}
selectedAssistant={current_assistant_id ?? null}
createMutation={create}
@ -239,6 +233,8 @@ export default function AssistantPanel({
createMutation={create}
assistant_id={assistant_id ?? null}
metadata={assistant?.['metadata'] ?? null}
endpoint={endpoint}
version={version}
/>
<label className={labelClass} htmlFor="name">
{localize('com_ui_name')}
@ -324,7 +320,7 @@ export default function AssistantPanel({
emptyTitle={true}
value={field.value}
setValue={field.onChange}
availableValues={modelsQuery.data?.[EModelEndpoint.assistants] ?? []}
availableValues={modelsQuery.data?.[endpoint] ?? []}
showAbove={false}
showLabel={false}
className={cn(
@ -343,120 +339,17 @@ export default function AssistantPanel({
/>
</div>
{/* Knowledge */}
{(codeEnabled || retrievalEnabled) && (
<Knowledge assistant_id={assistant_id} files={files} />
{(codeEnabled || retrievalEnabled) && version == 1 && (
<Knowledge assistant_id={assistant_id} files={files} endpoint={endpoint} />
)}
{/* Capabilities */}
<div className="mb-6">
<div className="mb-1.5 flex items-center">
<span>
<label className="text-token-text-primary block font-medium">
{localize('com_assistants_capabilities')}
</label>
</span>
</div>
<div className="flex flex-col items-start gap-2">
{codeEnabled && (
<div className="flex items-center">
<Controller
name={Capabilities.code_interpreter}
control={control}
render={({ field }) => (
<Checkbox
{...field}
checked={field.value}
onCheckedChange={field.onChange}
className="relative float-left mr-2 inline-flex h-4 w-4 cursor-pointer"
value={field?.value?.toString()}
/>
)}
/>
<label
className="form-check-label text-token-text-primary w-full cursor-pointer"
htmlFor={Capabilities.code_interpreter}
onClick={() =>
setValue(
Capabilities.code_interpreter,
!getValues(Capabilities.code_interpreter),
{
shouldDirty: true,
},
)
}
>
<div className="flex items-center">
{localize('com_assistants_code_interpreter')}
<QuestionMark />
</div>
</label>
</div>
)}
{imageVisionEnabled && (
<div className="flex items-center">
<Controller
name={Capabilities.image_vision}
control={control}
render={({ field }) => (
<Checkbox
{...field}
checked={field.value}
onCheckedChange={field.onChange}
className="relative float-left mr-2 inline-flex h-4 w-4 cursor-pointer"
value={field?.value?.toString()}
/>
)}
/>
<label
className="form-check-label text-token-text-primary w-full cursor-pointer"
htmlFor={Capabilities.image_vision}
onClick={() =>
setValue(Capabilities.image_vision, !getValues(Capabilities.image_vision), {
shouldDirty: true,
})
}
>
<div className="flex items-center">
{localize('com_assistants_image_vision')}
<QuestionMark />
</div>
</label>
</div>
)}
{retrievalEnabled && (
<div className="flex items-center">
<Controller
name={Capabilities.retrieval}
control={control}
render={({ field }) => (
<Checkbox
{...field}
checked={field.value}
disabled={!retrievalModels.has(model)}
onCheckedChange={field.onChange}
className="relative float-left mr-2 inline-flex h-4 w-4 cursor-pointer"
value={field?.value?.toString()}
/>
)}
/>
<label
className={cn(
'form-check-label text-token-text-primary w-full',
!retrievalModels.has(model) ? 'cursor-no-drop opacity-50' : 'cursor-pointer',
)}
htmlFor={Capabilities.retrieval}
onClick={() =>
retrievalModels.has(model) &&
setValue(Capabilities.retrieval, !getValues(Capabilities.retrieval), {
shouldDirty: true,
})
}
>
{localize('com_assistants_retrieval')}
</label>
</div>
)}
</div>
</div>
<CapabilitiesForm
version={version}
endpoint={endpoint}
codeEnabled={codeEnabled}
assistantsConfig={assistantsConfig}
retrievalEnabled={retrievalEnabled}
/>
{/* Tools */}
<div className="mb-6">
<label className={labelClass}>
@ -520,6 +413,7 @@ export default function AssistantPanel({
activeModel={activeModel}
setCurrentAssistantId={setCurrentAssistantId}
createMutation={create}
endpoint={endpoint}
/>
{/* Secondary Select Button */}
{assistant_id && (
@ -554,6 +448,7 @@ export default function AssistantPanel({
isOpen={showToolDialog}
setIsOpen={setShowToolDialog}
assistant_id={assistant_id}
endpoint={endpoint}
/>
</form>
</FormProvider>

View file

@ -1,21 +1,21 @@
import { Plus } from 'lucide-react';
import { useCallback, useEffect, useRef } from 'react';
import {
defaultAssistantFormValues,
defaultOrderQuery,
isImageVisionTool,
EModelEndpoint,
Capabilities,
Tools,
FileSources,
Capabilities,
LocalStorageKeys,
isImageVisionTool,
defaultAssistantFormValues,
} from 'librechat-data-provider';
import type { UseFormReset } from 'react-hook-form';
import type { UseMutationResult } from '@tanstack/react-query';
import type { Assistant, AssistantCreateParams } from 'librechat-data-provider';
import type { Assistant, AssistantCreateParams, AssistantsEndpoint } from 'librechat-data-provider';
import type {
AssistantForm,
Actions,
TAssistantOption,
ExtendedFile,
AssistantForm,
TAssistantOption,
LastSelectedModels,
} from '~/common';
import SelectDropDown from '~/components/ui/SelectDropDown';
@ -29,12 +29,14 @@ const keys = new Set(['name', 'id', 'description', 'instructions', 'model']);
export default function AssistantSelect({
reset,
value,
endpoint,
selectedAssistant,
setCurrentAssistantId,
createMutation,
}: {
reset: UseFormReset<AssistantForm>;
value: TAssistantOption;
endpoint: AssistantsEndpoint;
selectedAssistant: string | null;
setCurrentAssistantId: React.Dispatch<React.SetStateAction<string | undefined>>;
createMutation: UseMutationResult<Assistant, Error, AssistantCreateParams>;
@ -43,11 +45,11 @@ export default function AssistantSelect({
const fileMap = useFileMapContext();
const lastSelectedAssistant = useRef<string | null>(null);
const [lastSelectedModels] = useLocalStorage<LastSelectedModels>(
'lastSelectedModel',
LocalStorageKeys.LAST_MODEL,
{} as LastSelectedModels,
);
const assistants = useListAssistantsQuery(defaultOrderQuery, {
const assistants = useListAssistantsQuery(endpoint, undefined, {
select: (res) =>
res.data.map((_assistant) => {
const assistant = {
@ -55,30 +57,55 @@ export default function AssistantSelect({
label: _assistant?.name ?? '',
value: _assistant.id,
files: _assistant?.file_ids ? ([] as Array<[string, ExtendedFile]>) : undefined,
code_files: _assistant?.tool_resources?.code_interpreter?.file_ids
? ([] as Array<[string, ExtendedFile]>)
: undefined,
};
const handleFile = (file_id: string, list?: Array<[string, ExtendedFile]>) => {
const file = fileMap?.[file_id];
if (file) {
list?.push([
file_id,
{
file_id: file.file_id,
type: file.type,
filepath: file.filepath,
filename: file.filename,
width: file.width,
height: file.height,
size: file.bytes,
preview: file.filepath,
progress: 1,
source: FileSources.openai,
},
]);
} else {
list?.push([
file_id,
{
file_id,
type: '',
filename: '',
size: 1,
progress: 1,
filepath: endpoint,
source: FileSources.openai,
},
]);
}
};
if (assistant.files && _assistant.file_ids) {
_assistant.file_ids.forEach((file_id) => {
const file = fileMap?.[file_id];
if (file) {
assistant.files?.push([
file_id,
{
file_id: file.file_id,
type: file.type,
filepath: file.filepath,
filename: file.filename,
width: file.width,
height: file.height,
size: file.bytes,
preview: file.filepath,
progress: 1,
source: FileSources.openai,
},
]);
}
});
_assistant.file_ids.forEach((file_id) => handleFile(file_id, assistant.files));
}
if (assistant.code_files && _assistant.tool_resources?.code_interpreter?.file_ids) {
_assistant.tool_resources?.code_interpreter?.file_ids?.forEach((file_id) =>
handleFile(file_id, assistant.code_files),
);
}
return assistant;
}),
});
@ -92,7 +119,7 @@ export default function AssistantSelect({
setCurrentAssistantId(undefined);
return reset({
...defaultAssistantFormValues,
model: lastSelectedModels?.[EModelEndpoint.assistants] ?? '',
model: lastSelectedModels?.[endpoint] ?? '',
});
}
@ -112,6 +139,9 @@ export default function AssistantSelect({
?.filter((tool) => tool.type !== 'function' || isImageVisionTool(tool))
?.map((tool) => tool?.function?.name || tool.type)
.forEach((tool) => {
if (tool === Tools.file_search) {
actions[Capabilities.retrieval] = true;
}
actions[tool] = true;
});
@ -141,7 +171,7 @@ export default function AssistantSelect({
reset(formValues);
setCurrentAssistantId(assistant?.id);
},
[assistants.data, reset, setCurrentAssistantId, createMutation, lastSelectedModels],
[assistants.data, reset, setCurrentAssistantId, createMutation, endpoint, lastSelectedModels],
);
useEffect(() => {

View file

@ -0,0 +1,51 @@
import { useMemo } from 'react';
import { Capabilities } from 'librechat-data-provider';
import type { TConfig, AssistantsEndpoint } from 'librechat-data-provider';
import ImageVision from './ImageVision';
import { useLocalize } from '~/hooks';
import Retrieval from './Retrieval';
import Code from './Code';
export default function CapabilitiesForm({
version,
endpoint,
codeEnabled,
retrievalEnabled,
assistantsConfig,
}: {
version: number | string;
codeEnabled?: boolean;
retrievalEnabled?: boolean;
endpoint: AssistantsEndpoint;
assistantsConfig?: TConfig | null;
}) {
const localize = useLocalize();
const retrievalModels = useMemo(
() => new Set(assistantsConfig?.retrievalModels ?? []),
[assistantsConfig],
);
const imageVisionEnabled = useMemo(
() => assistantsConfig?.capabilities?.includes(Capabilities.image_vision),
[assistantsConfig],
);
return (
<div className="mb-6">
<div className="mb-1.5 flex items-center">
<span>
<label className="text-token-text-primary block font-medium">
{localize('com_assistants_capabilities')}
</label>
</span>
</div>
<div className="flex flex-col items-start gap-2">
{codeEnabled && <Code endpoint={endpoint} version={version} />}
{imageVisionEnabled && version == 1 && <ImageVision />}
{retrievalEnabled && (
<Retrieval endpoint={endpoint} version={version} retrievalModels={retrievalModels} />
)}
</div>
</div>
);
}

View file

@ -0,0 +1,71 @@
import { useMemo } from 'react';
import { Capabilities } from 'librechat-data-provider';
import { useFormContext, Controller, useWatch } from 'react-hook-form';
import type { AssistantsEndpoint } from 'librechat-data-provider';
import type { AssistantForm } from '~/common';
import { Checkbox, QuestionMark } from '~/components/ui';
import { useLocalize } from '~/hooks';
import CodeFiles from './CodeFiles';
export default function Code({
version,
endpoint,
}: {
version: number | string;
endpoint: AssistantsEndpoint;
}) {
const localize = useLocalize();
const methods = useFormContext<AssistantForm>();
const { control, setValue, getValues } = methods;
const assistant = useWatch({ control, name: 'assistant' });
const assistant_id = useWatch({ control, name: 'id' });
const files = useMemo(() => {
if (typeof assistant === 'string') {
return [];
}
return assistant.code_files;
}, [assistant]);
return (
<>
<div className="flex items-center">
<Controller
name={Capabilities.code_interpreter}
control={control}
render={({ field }) => (
<Checkbox
{...field}
checked={field.value}
onCheckedChange={field.onChange}
className="relative float-left mr-2 inline-flex h-4 w-4 cursor-pointer"
value={field?.value?.toString()}
/>
)}
/>
<label
className="form-check-label text-token-text-primary w-full cursor-pointer"
htmlFor={Capabilities.code_interpreter}
onClick={() =>
setValue(Capabilities.code_interpreter, !getValues(Capabilities.code_interpreter), {
shouldDirty: true,
})
}
>
<div className="flex select-none items-center">
{localize('com_assistants_code_interpreter')}
<QuestionMark />
</div>
</label>
</div>
{version == 2 && (
<CodeFiles
assistant_id={assistant_id}
version={version}
endpoint={endpoint}
files={files}
tool_resource={Capabilities.code_interpreter}
/>
)}
</>
);
}

View file

@ -0,0 +1,93 @@
import { useState, useRef, useEffect } from 'react';
import { mergeFileConfig, fileConfig as defaultFileConfig } from 'librechat-data-provider';
import type { AssistantsEndpoint } from 'librechat-data-provider';
import type { ExtendedFile } from '~/common';
import FileRow from '~/components/Chat/Input/Files/FileRow';
import { useGetFileConfig } from '~/data-provider';
import { useFileHandling } from '~/hooks/Files';
import useLocalize from '~/hooks/useLocalize';
import { useChatContext } from '~/Providers';
export default function Knowledge({
endpoint,
assistant_id,
files: _files,
tool_resource,
}: {
version: number | string;
endpoint: AssistantsEndpoint;
assistant_id: string;
files?: [string, ExtendedFile][];
tool_resource?: string;
}) {
const localize = useLocalize();
const { setFilesLoading } = useChatContext();
const fileInputRef = useRef<HTMLInputElement>(null);
const [files, setFiles] = useState<Map<string, ExtendedFile>>(new Map());
const { data: fileConfig = defaultFileConfig } = useGetFileConfig({
select: (data) => mergeFileConfig(data),
});
const { handleFileChange } = useFileHandling({
overrideEndpoint: endpoint,
additionalMetadata: { assistant_id, tool_resource },
fileSetter: setFiles,
});
useEffect(() => {
if (_files) {
setFiles(new Map(_files));
}
}, [_files]);
const endpointFileConfig = fileConfig.endpoints[endpoint];
if (endpointFileConfig?.disabled) {
return null;
}
const handleButtonClick = () => {
// necessary to reset the input
if (fileInputRef.current) {
fileInputRef.current.value = '';
}
fileInputRef.current?.click();
};
return (
<div className={'mb-2'}>
<div className="flex flex-col gap-4">
<div className="text-token-text-tertiary rounded-lg text-xs">
{assistant_id ? localize('com_assistants_knowledge_info') : ''}
</div>
<FileRow
files={files}
setFiles={setFiles}
setFilesLoading={setFilesLoading}
assistant_id={assistant_id}
Wrapper={({ children }) => <div className="flex flex-wrap gap-2">{children}</div>}
/>
<div>
<button
type="button"
disabled={!assistant_id}
className="btn btn-neutral border-token-border-light relative h-8 rounded-lg font-medium"
onClick={handleButtonClick}
>
<div className="flex w-full items-center justify-center gap-2">
<input
multiple={true}
type="file"
style={{ display: 'none' }}
tabIndex={-1}
ref={fileInputRef}
disabled={!assistant_id}
onChange={handleFileChange}
/>
{localize('com_ui_upload_files')}
</div>
</button>
</div>
</div>
</div>
);
}

View file

@ -1,26 +1,29 @@
import * as Popover from '@radix-ui/react-popover';
import type { Assistant, AssistantCreateParams } from 'librechat-data-provider';
import type { Assistant, AssistantCreateParams, AssistantsEndpoint } from 'librechat-data-provider';
import type { UseMutationResult } from '@tanstack/react-query';
import { Dialog, DialogTrigger, Label } from '~/components/ui';
import DialogTemplate from '~/components/ui/DialogTemplate';
import { useChatContext, useToastContext } from '~/Providers';
import { useDeleteAssistantMutation } from '~/data-provider';
import DialogTemplate from '~/components/ui/DialogTemplate';
import { useLocalize, useSetIndexOptions } from '~/hooks';
import { cn, removeFocusOutlines } from '~/utils/';
import { NewTrashIcon } from '~/components/svg';
import { useChatContext } from '~/Providers';
export default function ContextButton({
activeModel,
assistant_id,
setCurrentAssistantId,
createMutation,
endpoint,
}: {
activeModel: string;
assistant_id: string;
setCurrentAssistantId: React.Dispatch<React.SetStateAction<string | undefined>>;
createMutation: UseMutationResult<Assistant, Error, AssistantCreateParams>;
endpoint: AssistantsEndpoint;
}) {
const localize = useLocalize();
const { showToast } = useToastContext();
const { conversation } = useChatContext();
const { setOption } = useSetIndexOptions();
@ -31,6 +34,11 @@ export default function ContextButton({
return;
}
showToast({
message: localize('com_ui_assistant_deleted'),
status: 'success',
});
if (createMutation.data?.id) {
console.log('[deleteAssistant] resetting createMutation');
createMutation.reset();
@ -55,6 +63,13 @@ export default function ContextButton({
setCurrentAssistantId(firstAssistant.id);
},
onError: (error) => {
console.error(error);
showToast({
message: localize('com_ui_assistant_delete_error'),
status: 'error',
});
},
});
if (!assistant_id) {
@ -138,7 +153,8 @@ export default function ContextButton({
</>
}
selection={{
selectHandler: () => deleteAssistant.mutate({ assistant_id, model: activeModel }),
selectHandler: () =>
deleteAssistant.mutate({ assistant_id, model: activeModel, endpoint }),
selectClasses: 'bg-red-600 hover:bg-red-700 dark:hover:bg-red-800 text-white',
selectText: localize('com_ui_delete'),
}}

View file

@ -0,0 +1,43 @@
import { useFormContext, Controller } from 'react-hook-form';
import { Capabilities } from 'librechat-data-provider';
import type { AssistantForm } from '~/common';
import { Checkbox, QuestionMark } from '~/components/ui';
import { useLocalize } from '~/hooks';
export default function ImageVision() {
const localize = useLocalize();
const methods = useFormContext<AssistantForm>();
const { control, setValue, getValues } = methods;
return (
<div className="flex items-center">
<Controller
name={Capabilities.image_vision}
control={control}
render={({ field }) => (
<Checkbox
{...field}
checked={field.value}
onCheckedChange={field.onChange}
className="relative float-left mr-2 inline-flex h-4 w-4 cursor-pointer"
value={field?.value?.toString()}
/>
)}
/>
<label
className="form-check-label text-token-text-primary w-full cursor-pointer"
htmlFor={Capabilities.image_vision}
onClick={() =>
setValue(Capabilities.image_vision, !getValues(Capabilities.image_vision), {
shouldDirty: true,
})
}
>
<div className="flex items-center">
{localize('com_assistants_image_vision')}
<QuestionMark />
</div>
</label>
</div>
);
}

View file

@ -1,10 +1,10 @@
import { useState, useRef, useEffect } from 'react';
import {
EModelEndpoint,
mergeFileConfig,
retrievalMimeTypes,
fileConfig as defaultFileConfig,
mergeFileConfig,
} from 'librechat-data-provider';
import type { AssistantsEndpoint } from 'librechat-data-provider';
import type { ExtendedFile } from '~/common';
import FileRow from '~/components/Chat/Input/Files/FileRow';
import { useGetFileConfig } from '~/data-provider';
@ -26,9 +26,11 @@ const CodeInterpreterFiles = ({ children }: { children: React.ReactNode }) => {
};
export default function Knowledge({
endpoint,
assistant_id,
files: _files,
}: {
endpoint: AssistantsEndpoint;
assistant_id: string;
files?: [string, ExtendedFile][];
}) {
@ -40,7 +42,7 @@ export default function Knowledge({
select: (data) => mergeFileConfig(data),
});
const { handleFileChange } = useFileHandling({
overrideEndpoint: EModelEndpoint.assistants,
overrideEndpoint: endpoint,
additionalMetadata: { assistant_id },
fileSetter: setFiles,
});
@ -51,7 +53,7 @@ export default function Knowledge({
}
}, [_files]);
const endpointFileConfig = fileConfig.endpoints[EModelEndpoint.assistants];
const endpointFileConfig = fileConfig.endpoints[endpoint];
if (endpointFileConfig?.disabled) {
return null;

View file

@ -1,5 +1,7 @@
import { useState, useEffect } from 'react';
import type { Action } from 'librechat-data-provider';
import { useState, useEffect, useMemo } from 'react';
import { defaultAssistantsVersion } from 'librechat-data-provider';
import { useGetEndpointsQuery } from 'librechat-data-provider/react-query';
import type { Action, AssistantsEndpoint, TEndpointsConfig } from 'librechat-data-provider';
import { useGetActionsQuery } from '~/data-provider';
import AssistantPanel from './AssistantPanel';
import { useChatContext } from '~/Providers';
@ -9,11 +11,18 @@ import { Panel } from '~/common';
export default function PanelSwitch() {
const { conversation, index } = useChatContext();
const [activePanel, setActivePanel] = useState(Panel.builder);
const [action, setAction] = useState<Action | undefined>(undefined);
const [currentAssistantId, setCurrentAssistantId] = useState<string | undefined>(
conversation?.assistant_id,
);
const [action, setAction] = useState<Action | undefined>(undefined);
const { data: actions = [] } = useGetActionsQuery();
const { data: endpointsConfig = {} as TEndpointsConfig } = useGetEndpointsQuery();
const { data: actions = [] } = useGetActionsQuery(conversation?.endpoint as AssistantsEndpoint);
const assistantsConfig = useMemo(
() => endpointsConfig?.[conversation?.endpoint ?? ''],
[conversation?.endpoint, endpointsConfig],
);
useEffect(() => {
if (conversation?.assistant_id) {
@ -21,6 +30,12 @@ export default function PanelSwitch() {
}
}, [conversation?.assistant_id]);
if (!conversation?.endpoint) {
return null;
}
const version = assistantsConfig?.version ?? defaultAssistantsVersion[conversation.endpoint];
if (activePanel === Panel.actions || action) {
return (
<ActionsPanel
@ -32,6 +47,8 @@ export default function PanelSwitch() {
setActivePanel={setActivePanel}
assistant_id={currentAssistantId}
setCurrentAssistantId={setCurrentAssistantId}
endpoint={conversation.endpoint as AssistantsEndpoint}
version={version}
/>
);
} else if (activePanel === Panel.builder) {
@ -45,6 +62,9 @@ export default function PanelSwitch() {
setActivePanel={setActivePanel}
assistant_id={currentAssistantId}
setCurrentAssistantId={setCurrentAssistantId}
endpoint={conversation.endpoint as AssistantsEndpoint}
assistantsConfig={assistantsConfig}
version={version}
/>
);
}

View file

@ -0,0 +1,70 @@
import { useEffect, useMemo } from 'react';
import { useFormContext, Controller, useWatch } from 'react-hook-form';
import { Capabilities } from 'librechat-data-provider';
import type { AssistantsEndpoint } from 'librechat-data-provider';
import type { AssistantForm } from '~/common';
import { Checkbox } from '~/components/ui';
import { useLocalize } from '~/hooks';
import { cn } from '~/utils/';
export default function Retrieval({
version,
retrievalModels,
}: {
version: number | string;
retrievalModels: Set<string>;
endpoint: AssistantsEndpoint;
}) {
const localize = useLocalize();
const methods = useFormContext<AssistantForm>();
const { control, setValue, getValues } = methods;
const model = useWatch({ control, name: 'model' });
const assistant = useWatch({ control, name: 'assistant' });
const files = useMemo(() => {
if (typeof assistant === 'string') {
return [];
}
return assistant.tool_resources?.file_search;
}, [assistant]);
useEffect(() => {
if (model && !retrievalModels.has(model)) {
setValue(Capabilities.retrieval, false);
}
}, [model, setValue, retrievalModels]);
return (
<div className="flex items-center">
<Controller
name={Capabilities.retrieval}
control={control}
render={({ field }) => (
<Checkbox
{...field}
checked={field.value}
disabled={!retrievalModels.has(model)}
onCheckedChange={field.onChange}
className="relative float-left mr-2 inline-flex h-4 w-4 cursor-pointer"
value={field?.value?.toString()}
/>
)}
/>
<label
className={cn(
'form-check-label text-token-text-primary w-full',
!retrievalModels.has(model) ? 'cursor-no-drop opacity-50' : 'cursor-pointer',
)}
htmlFor={Capabilities.retrieval}
onClick={() =>
retrievalModels.has(model) &&
setValue(Capabilities.retrieval, !getValues(Capabilities.retrieval), {
shouldDirty: true,
})
}
>
{localize('com_assistants_retrieval')}
</label>
</div>
);
}

View file

@ -1,5 +1,5 @@
import throttle from 'lodash/throttle';
import { EModelEndpoint, getConfigDefaults } from 'librechat-data-provider';
import { getConfigDefaults } from 'librechat-data-provider';
import { useState, useRef, useCallback, useEffect, useMemo, memo } from 'react';
import {
useGetEndpointsQuery,
@ -61,7 +61,7 @@ const SidePanel = ({
return activePanel ? activePanel : undefined;
}, []);
const assistants = useMemo(() => endpointsConfig?.[EModelEndpoint.assistants], [endpointsConfig]);
const assistants = useMemo(() => endpointsConfig?.[endpoint ?? ''], [endpoint, endpointsConfig]);
const userProvidesKey = useMemo(
() => !!endpointsConfig?.[endpoint ?? '']?.userProvide,
[endpointsConfig, endpoint],

View file

@ -1,18 +1,18 @@
import { EModelEndpoint } from 'librechat-data-provider';
import { isAssistantsEndpoint } from 'librechat-data-provider';
import type { SwitcherProps } from '~/common';
import { Separator } from '~/components/ui/Separator';
import AssistantSwitcher from './AssistantSwitcher';
import ModelSwitcher from './ModelSwitcher';
export default function Switcher(props: SwitcherProps) {
if (props.endpoint === EModelEndpoint.assistants && props.endpointKeyProvided) {
if (isAssistantsEndpoint(props.endpoint) && props.endpointKeyProvided) {
return (
<>
<AssistantSwitcher {...props} />
<Separator className="bg-gray-100/50 dark:bg-gray-600" />
</>
);
} else if (props.endpoint === EModelEndpoint.assistants) {
} else if (isAssistantsEndpoint(props.endpoint)) {
return null;
}

View file

@ -3,7 +3,7 @@ import { Search, X } from 'lucide-react';
import { Dialog } from '@headlessui/react';
import { useFormContext } from 'react-hook-form';
import { useUpdateUserPluginsMutation } from 'librechat-data-provider/react-query';
import type { TError, TPluginAction } from 'librechat-data-provider';
import type { AssistantsEndpoint, TError, TPluginAction } from 'librechat-data-provider';
import type { TPluginStoreDialogProps } from '~/common/types';
import { PluginPagination, PluginAuthForm } from '~/components/Plugins/Store';
import { useLocalize, usePluginDialogHelpers } from '~/hooks';
@ -13,10 +13,11 @@ import ToolItem from './ToolItem';
function ToolSelectDialog({
isOpen,
setIsOpen,
}: TPluginStoreDialogProps & { assistant_id?: string }) {
endpoint,
}: TPluginStoreDialogProps & { assistant_id?: string; endpoint: AssistantsEndpoint }) {
const localize = useLocalize();
const { getValues, setValue } = useFormContext();
const { data: tools = [] } = useAvailableToolsQuery();
const { data: tools = [] } = useAvailableToolsQuery(endpoint);
const {
maxPage,

View file

@ -1,4 +1,4 @@
import { LocalStorageKeys } from 'librechat-data-provider';
import { Capabilities, LocalStorageKeys, defaultAssistantsVersion } from 'librechat-data-provider';
import { useMutation, useQueryClient } from '@tanstack/react-query';
import type { UseMutationResult } from '@tanstack/react-query';
import type t from 'librechat-data-provider';
@ -376,9 +376,10 @@ export const useUploadFileMutation = (
const { onSuccess, ...options } = _options || {};
return useMutation([MutationKeys.fileUpload], {
mutationFn: (body: FormData) => {
const height = body.get('height');
const width = body.get('width');
if (height && width) {
const height = body.get('height');
const version = body.get('version') as number | string;
if (height && width && (!version || version != 2)) {
return dataService.uploadImage(body);
}
@ -391,8 +392,10 @@ export const useUploadFileMutation = (
...(_files ?? []),
]);
const endpoint = formData.get('endpoint');
const assistant_id = formData.get('assistant_id');
const message_file = formData.get('message_file');
const tool_resource = formData.get('tool_resource');
if (!assistant_id || message_file === 'true') {
onSuccess?.(data, formData, context);
@ -400,7 +403,7 @@ export const useUploadFileMutation = (
}
queryClient.setQueryData<t.AssistantListResponse>(
[QueryKeys.assistants, defaultOrderQuery],
[QueryKeys.assistants, endpoint, defaultOrderQuery],
(prev) => {
if (!prev) {
return prev;
@ -409,13 +412,29 @@ export const useUploadFileMutation = (
return {
...prev,
data: prev?.data.map((assistant) => {
if (assistant.id === assistant_id) {
return {
...assistant,
file_ids: [...assistant.file_ids, data.file_id],
if (assistant.id !== assistant_id) {
return assistant;
}
const update = {};
if (!tool_resource) {
update['file_ids'] = [...assistant.file_ids, data.file_id];
}
if (tool_resource === Capabilities.code_interpreter) {
const prevResources = assistant.tool_resources ?? {};
const prevResource = assistant.tool_resources?.[tool_resource as string] ?? {
file_ids: [],
};
prevResource.file_ids.push(data.file_id);
update['tool_resources'] = {
...prevResources,
[tool_resource as string]: prevResource,
};
}
return assistant;
return {
...assistant,
...update,
};
}),
};
},
@ -542,6 +561,7 @@ export const useCreateAssistantMutation = (
onSuccess: (newAssistant, variables, context) => {
const listRes = queryClient.getQueryData<t.AssistantListResponse>([
QueryKeys.assistants,
variables.endpoint,
defaultOrderQuery,
]);
@ -552,7 +572,7 @@ export const useCreateAssistantMutation = (
const currentAssistants = [newAssistant, ...JSON.parse(JSON.stringify(listRes.data))];
queryClient.setQueryData<t.AssistantListResponse>(
[QueryKeys.assistants, defaultOrderQuery],
[QueryKeys.assistants, variables.endpoint, defaultOrderQuery],
{
...listRes,
data: currentAssistants,
@ -576,14 +596,23 @@ export const useUpdateAssistantMutation = (
> => {
const queryClient = useQueryClient();
return useMutation(
({ assistant_id, data }: { assistant_id: string; data: t.AssistantUpdateParams }) =>
dataService.updateAssistant(assistant_id, data),
({ assistant_id, data }: { assistant_id: string; data: t.AssistantUpdateParams }) => {
const { endpoint } = data;
const endpointsConfig = queryClient.getQueryData<t.TEndpointsConfig>([QueryKeys.endpoints]);
const version = endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint];
return dataService.updateAssistant({
data,
version,
assistant_id,
});
},
{
onMutate: (variables) => options?.onMutate?.(variables),
onError: (error, variables, context) => options?.onError?.(error, variables, context),
onSuccess: (updatedAssistant, variables, context) => {
const listRes = queryClient.getQueryData<t.AssistantListResponse>([
QueryKeys.assistants,
variables.data.endpoint,
defaultOrderQuery,
]);
@ -592,7 +621,7 @@ export const useUpdateAssistantMutation = (
}
queryClient.setQueryData<t.AssistantListResponse>(
[QueryKeys.assistants, defaultOrderQuery],
[QueryKeys.assistants, variables.data.endpoint, defaultOrderQuery],
{
...listRes,
data: listRes.data.map((assistant) => {
@ -617,14 +646,18 @@ export const useDeleteAssistantMutation = (
): UseMutationResult<void, Error, t.DeleteAssistantBody> => {
const queryClient = useQueryClient();
return useMutation(
({ assistant_id, model }: t.DeleteAssistantBody) =>
dataService.deleteAssistant(assistant_id, model),
({ assistant_id, model, endpoint }: t.DeleteAssistantBody) => {
const endpointsConfig = queryClient.getQueryData<t.TEndpointsConfig>([QueryKeys.endpoints]);
const version = endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint];
return dataService.deleteAssistant({ assistant_id, model, version, endpoint });
},
{
onMutate: (variables) => options?.onMutate?.(variables),
onError: (error, variables, context) => options?.onError?.(error, variables, context),
onSuccess: (_data, variables, context) => {
const listRes = queryClient.getQueryData<t.AssistantListResponse>([
QueryKeys.assistants,
variables.endpoint,
defaultOrderQuery,
]);
@ -635,7 +668,7 @@ export const useDeleteAssistantMutation = (
const data = listRes.data.filter((assistant) => assistant.id !== variables.assistant_id);
queryClient.setQueryData<t.AssistantListResponse>(
[QueryKeys.assistants, defaultOrderQuery],
[QueryKeys.assistants, variables.endpoint, defaultOrderQuery],
{
...listRes,
data,
@ -687,6 +720,7 @@ export const useUpdateAction = (
onSuccess: (updateActionResponse, variables, context) => {
const listRes = queryClient.getQueryData<t.AssistantListResponse>([
QueryKeys.assistants,
variables.endpoint,
defaultOrderQuery,
]);
@ -696,15 +730,18 @@ export const useUpdateAction = (
const updatedAssistant = updateActionResponse[1];
queryClient.setQueryData<t.AssistantListResponse>([QueryKeys.assistants, defaultOrderQuery], {
...listRes,
data: listRes.data.map((assistant) => {
if (assistant.id === variables.assistant_id) {
return updatedAssistant;
}
return assistant;
}),
});
queryClient.setQueryData<t.AssistantListResponse>(
[QueryKeys.assistants, variables.endpoint, defaultOrderQuery],
{
...listRes,
data: listRes.data.map((assistant) => {
if (assistant.id === variables.assistant_id) {
return updatedAssistant;
}
return assistant;
}),
},
);
queryClient.setQueryData<t.Action[]>([QueryKeys.actions], (prev) => {
return prev
@ -735,8 +772,15 @@ export const useDeleteAction = (
> => {
const queryClient = useQueryClient();
return useMutation([MutationKeys.deleteAction], {
mutationFn: (variables: t.DeleteActionVariables) =>
dataService.deleteAction(variables.assistant_id, variables.action_id, variables.model),
mutationFn: (variables: t.DeleteActionVariables) => {
const { endpoint } = variables;
const endpointsConfig = queryClient.getQueryData<t.TEndpointsConfig>([QueryKeys.endpoints]);
const version = endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint];
return dataService.deleteAction({
...variables,
version,
});
},
onMutate: (variables) => options?.onMutate?.(variables),
onError: (error, variables, context) => options?.onError?.(error, variables, context),
@ -750,7 +794,7 @@ export const useDeleteAction = (
});
queryClient.setQueryData<t.AssistantListResponse>(
[QueryKeys.assistants, defaultOrderQuery],
[QueryKeys.assistants, variables.endpoint, defaultOrderQuery],
(prev) => {
if (!prev) {
return prev;

View file

@ -1,4 +1,9 @@
import { EModelEndpoint, QueryKeys, dataService, defaultOrderQuery } from 'librechat-data-provider';
import {
QueryKeys,
dataService,
defaultOrderQuery,
defaultAssistantsVersion,
} from 'librechat-data-provider';
import { useQuery, useInfiniteQuery, useQueryClient } from '@tanstack/react-query';
import type {
UseInfiniteQueryOptions,
@ -194,43 +199,46 @@ export const useSharedLinksInfiniteQuery = (
/**
* Hook for getting all available tools for Assistants
*/
export const useAvailableToolsQuery = (): QueryObserverResult<TPlugin[]> => {
export const useAvailableToolsQuery = (
endpoint: t.AssistantsEndpoint,
): QueryObserverResult<TPlugin[]> => {
const queryClient = useQueryClient();
const endpointsConfig = queryClient.getQueryData<TEndpointsConfig>([QueryKeys.endpoints]);
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([
QueryKeys.name,
EModelEndpoint.assistants,
]);
const userProvidesKey = !!endpointsConfig?.[EModelEndpoint.assistants]?.userProvide;
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([QueryKeys.name, endpoint]);
const userProvidesKey = !!endpointsConfig?.[endpoint]?.userProvide;
const keyProvided = userProvidesKey ? !!keyExpiry?.expiresAt : true;
const enabled = !!endpointsConfig?.[EModelEndpoint.assistants] && keyProvided;
return useQuery<TPlugin[]>([QueryKeys.tools], () => dataService.getAvailableTools(), {
refetchOnWindowFocus: false,
refetchOnReconnect: false,
refetchOnMount: false,
enabled,
});
const enabled = !!endpointsConfig?.[endpoint] && keyProvided;
const version = endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint];
return useQuery<TPlugin[]>(
[QueryKeys.tools],
() => dataService.getAvailableTools(version, endpoint),
{
refetchOnWindowFocus: false,
refetchOnReconnect: false,
refetchOnMount: false,
enabled,
},
);
};
/**
* Hook for listing all assistants, with optional parameters provided for pagination and sorting
*/
export const useListAssistantsQuery = <TData = AssistantListResponse>(
params: AssistantListParams = defaultOrderQuery,
endpoint: t.AssistantsEndpoint,
params: Omit<AssistantListParams, 'endpoint'> = defaultOrderQuery,
config?: UseQueryOptions<AssistantListResponse, unknown, TData>,
): QueryObserverResult<TData> => {
const queryClient = useQueryClient();
const endpointsConfig = queryClient.getQueryData<TEndpointsConfig>([QueryKeys.endpoints]);
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([
QueryKeys.name,
EModelEndpoint.assistants,
]);
const userProvidesKey = !!endpointsConfig?.[EModelEndpoint.assistants]?.userProvide;
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([QueryKeys.name, endpoint]);
const userProvidesKey = !!endpointsConfig?.[endpoint]?.userProvide;
const keyProvided = userProvidesKey ? !!keyExpiry?.expiresAt : true;
const enabled = !!endpointsConfig?.[EModelEndpoint.assistants] && keyProvided;
const enabled = !!endpointsConfig?.[endpoint] && keyProvided;
const version = endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint];
return useQuery<AssistantListResponse, unknown, TData>(
[QueryKeys.assistants, params],
() => dataService.listAssistants(params),
[QueryKeys.assistants, endpoint, params],
() => dataService.listAssistants({ ...params, endpoint }, version),
{
// Example selector to sort them by created_at
// select: (res) => {
@ -246,6 +254,7 @@ export const useListAssistantsQuery = <TData = AssistantListResponse>(
);
};
/*
export const useListAssistantsInfiniteQuery = (
params?: AssistantListParams,
config?: UseInfiniteQueryOptions<AssistantListResponse, Error>,
@ -275,26 +284,31 @@ export const useListAssistantsInfiniteQuery = (
},
);
};
*/
/**
* Hook for retrieving details about a single assistant
*/
export const useGetAssistantByIdQuery = (
endpoint: t.AssistantsEndpoint,
assistant_id: string,
config?: UseQueryOptions<Assistant>,
): QueryObserverResult<Assistant> => {
const queryClient = useQueryClient();
const endpointsConfig = queryClient.getQueryData<TEndpointsConfig>([QueryKeys.endpoints]);
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([
QueryKeys.name,
EModelEndpoint.assistants,
]);
const userProvidesKey = !!endpointsConfig?.[EModelEndpoint.assistants]?.userProvide;
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([QueryKeys.name, endpoint]);
const userProvidesKey = !!endpointsConfig?.[endpoint]?.userProvide;
const keyProvided = userProvidesKey ? !!keyExpiry?.expiresAt : true;
const enabled = !!endpointsConfig?.[EModelEndpoint.assistants] && keyProvided;
const enabled = !!endpointsConfig?.[endpoint] && keyProvided;
const version = endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint];
return useQuery<Assistant>(
[QueryKeys.assistant, assistant_id],
() => dataService.getAssistantById(assistant_id),
() =>
dataService.getAssistantById({
endpoint,
assistant_id,
version,
}),
{
refetchOnWindowFocus: false,
refetchOnReconnect: false,
@ -311,43 +325,53 @@ export const useGetAssistantByIdQuery = (
* Hook for retrieving user's saved Assistant Actions
*/
export const useGetActionsQuery = <TData = Action[]>(
endpoint: t.AssistantsEndpoint,
config?: UseQueryOptions<Action[], unknown, TData>,
): QueryObserverResult<TData> => {
const queryClient = useQueryClient();
const endpointsConfig = queryClient.getQueryData<TEndpointsConfig>([QueryKeys.endpoints]);
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([
QueryKeys.name,
EModelEndpoint.assistants,
]);
const userProvidesKey = !!endpointsConfig?.[EModelEndpoint.assistants]?.userProvide;
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([QueryKeys.name, endpoint]);
const userProvidesKey = !!endpointsConfig?.[endpoint]?.userProvide;
const keyProvided = userProvidesKey ? !!keyExpiry?.expiresAt : true;
const enabled = !!endpointsConfig?.[EModelEndpoint.assistants] && keyProvided;
return useQuery<Action[], unknown, TData>([QueryKeys.actions], () => dataService.getActions(), {
refetchOnWindowFocus: false,
refetchOnReconnect: false,
refetchOnMount: false,
...config,
enabled: config?.enabled !== undefined ? config?.enabled && enabled : enabled,
});
const enabled = !!endpointsConfig?.[endpoint] && keyProvided;
const version = endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint];
return useQuery<Action[], unknown, TData>(
[QueryKeys.actions],
() =>
dataService.getActions({
endpoint,
version,
}),
{
refetchOnWindowFocus: false,
refetchOnReconnect: false,
refetchOnMount: false,
...config,
enabled: config?.enabled !== undefined ? config?.enabled && enabled : enabled,
},
);
};
/**
* Hook for retrieving user's saved Assistant Documents (metadata saved to Database)
*/
export const useGetAssistantDocsQuery = (
endpoint: t.AssistantsEndpoint,
config?: UseQueryOptions<AssistantDocument[]>,
): QueryObserverResult<AssistantDocument[], unknown> => {
const queryClient = useQueryClient();
const endpointsConfig = queryClient.getQueryData<TEndpointsConfig>([QueryKeys.endpoints]);
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([
QueryKeys.name,
EModelEndpoint.assistants,
]);
const userProvidesKey = !!endpointsConfig?.[EModelEndpoint.assistants]?.userProvide;
const keyExpiry = queryClient.getQueryData<TCheckUserKeyResponse>([QueryKeys.name, endpoint]);
const userProvidesKey = !!endpointsConfig?.[endpoint]?.userProvide;
const keyProvided = userProvidesKey ? !!keyExpiry?.expiresAt : true;
const enabled = !!endpointsConfig?.[EModelEndpoint.assistants] && keyProvided;
const enabled = !!endpointsConfig?.[endpoint] && keyProvided;
const version = endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint];
return useQuery<AssistantDocument[]>(
[QueryKeys.assistantDocs],
() => dataService.getAssistantDocs(),
() =>
dataService.getAssistantDocs({
endpoint,
version,
}),
{
refetchOnWindowFocus: false,
refetchOnReconnect: false,

View file

@ -1,2 +1,3 @@
export { default as useAssistantsMap } from './useAssistantsMap';
export { default as useSelectAssistant } from './useSelectAssistant';
export { default as useAssistantListMap } from './useAssistantListMap';

View file

@ -0,0 +1,44 @@
import { useMemo } from 'react';
import { EModelEndpoint } from 'librechat-data-provider';
import type { AssistantListResponse, AssistantsEndpoint } from 'librechat-data-provider';
import type { AssistantListItem } from '~/common';
import { useListAssistantsQuery } from '~/data-provider';
const selectAssistantsResponse = (res: AssistantListResponse): AssistantListItem[] =>
res.data.map(({ id, name, metadata, model }) => ({
id,
name: name ?? '',
metadata,
model,
}));
export default function useAssistantListMap<T = AssistantListItem[] | null>(
selector: (res: AssistantListResponse) => T = selectAssistantsResponse as (
res: AssistantListResponse,
) => T,
): Record<AssistantsEndpoint, T> {
const { data: assistantsList = null } = useListAssistantsQuery(
EModelEndpoint.assistants,
undefined,
{
select: selector,
},
);
const { data: azureAssistants = null } = useListAssistantsQuery(
EModelEndpoint.azureAssistants,
undefined,
{
select: selector,
},
);
const assistantListMap = useMemo(() => {
return {
[EModelEndpoint.assistants]: assistantsList as T,
[EModelEndpoint.azureAssistants]: azureAssistants as T,
};
}, [assistantsList, azureAssistants]);
return assistantListMap;
}

View file

@ -1,12 +1,28 @@
import { defaultOrderQuery } from 'librechat-data-provider';
import { EModelEndpoint } from 'librechat-data-provider';
import type { TAssistantsMap } from 'librechat-data-provider';
import { useListAssistantsQuery } from '~/data-provider';
import { mapAssistants } from '~/utils';
export default function useAssistantsMap({ isAuthenticated }: { isAuthenticated: boolean }) {
const { data: assistantMap = {} } = useListAssistantsQuery(defaultOrderQuery, {
export default function useAssistantsMap({
isAuthenticated,
}: {
isAuthenticated: boolean;
}): TAssistantsMap {
const { data: assistants = {} } = useListAssistantsQuery(EModelEndpoint.assistants, undefined, {
select: (res) => mapAssistants(res.data),
enabled: isAuthenticated,
});
const { data: azureAssistants = {} } = useListAssistantsQuery(
EModelEndpoint.azureAssistants,
undefined,
{
select: (res) => mapAssistants(res.data),
enabled: isAuthenticated,
},
);
return assistantMap;
return {
[EModelEndpoint.assistants]: assistants,
[EModelEndpoint.azureAssistants]: azureAssistants,
};
}

View file

@ -1,32 +1,30 @@
import { useCallback } from 'react';
import { EModelEndpoint, defaultOrderQuery } from 'librechat-data-provider';
import type { TConversation, TPreset } from 'librechat-data-provider';
import { isAssistantsEndpoint } from 'librechat-data-provider';
import type { AssistantsEndpoint, TConversation, TPreset } from 'librechat-data-provider';
import useDefaultConvo from '~/hooks/Conversations/useDefaultConvo';
import { useListAssistantsQuery } from '~/data-provider';
import { useChatContext } from '~/Providers/ChatContext';
import useAssistantListMap from './useAssistantListMap';
import { mapAssistants } from '~/utils';
export default function useSelectAssistant() {
export default function useSelectAssistant(endpoint: AssistantsEndpoint) {
const getDefaultConversation = useDefaultConvo();
const { conversation, newConversation } = useChatContext();
const { data: assistantMap = {} } = useListAssistantsQuery(defaultOrderQuery, {
select: (res) => mapAssistants(res.data),
});
const assistantMap = useAssistantListMap((res) => mapAssistants(res.data));
const onSelect = useCallback(
(value: string) => {
const assistant = assistantMap?.[value];
const assistant = assistantMap?.[endpoint]?.[value];
if (!assistant) {
return;
}
const template: Partial<TPreset | TConversation> = {
endpoint: EModelEndpoint.assistants,
endpoint,
assistant_id: assistant.id,
model: assistant.model,
conversationId: 'new',
};
if (conversation?.endpoint === EModelEndpoint.assistants) {
if (isAssistantsEndpoint(conversation?.endpoint)) {
const currentConvo = getDefaultConversation({
conversation: { ...(conversation ?? {}) },
preset: template,
@ -44,7 +42,7 @@ export default function useSelectAssistant() {
preset: template as Partial<TPreset>,
});
},
[assistantMap, conversation, getDefaultConversation, newConversation],
[endpoint, assistantMap, conversation, getDefaultConversation, newConversation],
);
return { onSelect };

View file

@ -3,7 +3,7 @@ import exportFromJSON from 'export-from-json';
import { useCallback, useEffect, useRef } from 'react';
import { useQueryClient } from '@tanstack/react-query';
import { useRecoilState, useSetRecoilState, useRecoilValue } from 'recoil';
import { QueryKeys, modularEndpoints, EModelEndpoint } from 'librechat-data-provider';
import { QueryKeys, modularEndpoints, isAssistantsEndpoint } from 'librechat-data-provider';
import { useCreatePresetMutation, useGetModelsQuery } from 'librechat-data-provider/react-query';
import type { TPreset, TEndpointsConfig } from 'librechat-data-provider';
import {
@ -174,8 +174,8 @@ export default function usePresets() {
const currentEndpointType = getEndpointField(endpointsConfig, endpoint, 'type');
const endpointType = getEndpointField(endpointsConfig, newPreset.endpoint, 'type');
const isAssistantSwitch =
newPreset.endpoint === EModelEndpoint.assistants &&
conversation?.endpoint === EModelEndpoint.assistants &&
isAssistantsEndpoint(newPreset.endpoint) &&
isAssistantsEndpoint(conversation?.endpoint) &&
conversation?.endpoint === newPreset.endpoint;
if (

View file

@ -1,13 +1,18 @@
import { v4 } from 'uuid';
import debounce from 'lodash/debounce';
import { useQueryClient } from '@tanstack/react-query';
import { useState, useEffect, useCallback } from 'react';
import {
megabyte,
QueryKeys,
EModelEndpoint,
codeTypeMapping,
mergeFileConfig,
isAssistantsEndpoint,
defaultAssistantsVersion,
fileConfig as defaultFileConfig,
} from 'librechat-data-provider';
import type { TEndpointsConfig } from 'librechat-data-provider';
import type { ExtendedFile, FileSetter } from '~/common';
import { useUploadFileMutation, useGetFileConfig } from '~/data-provider';
import { useDelayedUploadToast } from './useDelayedUploadToast';
@ -20,10 +25,12 @@ const { checkType } = defaultFileConfig;
type UseFileHandling = {
overrideEndpoint?: EModelEndpoint;
fileSetter?: FileSetter;
additionalMetadata?: Record<string, string>;
fileFilter?: (file: File) => boolean;
additionalMetadata?: Record<string, string | undefined>;
};
const useFileHandling = (params?: UseFileHandling) => {
const queryClient = useQueryClient();
const { showToast } = useToastContext();
const [errors, setErrors] = useState<string[]>([]);
const { startUploadTimer, clearUploadTimer } = useDelayedUploadToast();
@ -141,15 +148,20 @@ const useFileHandling = (params?: UseFileHandling) => {
if (params?.additionalMetadata) {
for (const [key, value] of Object.entries(params.additionalMetadata)) {
formData.append(key, value);
if (value) {
formData.append(key, value);
}
}
}
if (
endpoint === EModelEndpoint.assistants &&
isAssistantsEndpoint(endpoint) &&
!formData.get('assistant_id') &&
conversation?.assistant_id
) {
const endpointsConfig = queryClient.getQueryData<TEndpointsConfig>([QueryKeys.endpoints]);
const version = endpointsConfig?.[endpoint]?.version ?? defaultAssistantsVersion[endpoint];
formData.append('version', version);
formData.append('assistant_id', conversation.assistant_id);
formData.append('model', conversation?.model ?? '');
formData.append('message_file', 'true');

View file

@ -5,15 +5,42 @@ import {
useGetEndpointsQuery,
} from 'librechat-data-provider/react-query';
import { getConfigDefaults, EModelEndpoint, alternateName } from 'librechat-data-provider';
import type { Assistant } from 'librechat-data-provider';
import { useGetPresetsQuery, useListAssistantsQuery } from '~/data-provider';
import type { AssistantsEndpoint, TAssistantsMap, TEndpointsConfig } from 'librechat-data-provider';
import type { MentionOption } from '~/common';
import useAssistantListMap from '~/hooks/Assistants/useAssistantListMap';
import { mapEndpoints, getPresetTitle } from '~/utils';
import { EndpointIcon } from '~/components/Endpoints';
import { useGetPresetsQuery } from '~/data-provider';
import useSelectMention from './useSelectMention';
const defaultInterface = getConfigDefaults().interface;
export default function useMentions({ assistantMap }: { assistantMap: Record<string, Assistant> }) {
const assistantMapFn =
({
endpoint,
assistantMap,
endpointsConfig,
}: {
endpoint: AssistantsEndpoint;
assistantMap: TAssistantsMap;
endpointsConfig: TEndpointsConfig;
}) =>
({ id, name, description }) => ({
type: endpoint,
label: name ?? '',
value: id,
description: description ?? '',
icon: EndpointIcon({
conversation: { assistant_id: id, endpoint },
containerClassName: 'shadow-stroke overflow-hidden rounded-full',
endpointsConfig: endpointsConfig,
context: 'menu-item',
assistantMap,
size: 20,
}),
});
export default function useMentions({ assistantMap }: { assistantMap: TAssistantsMap }) {
const { data: presets } = useGetPresetsQuery();
const { data: modelsConfig } = useGetModelsQuery();
const { data: startupConfig } = useGetStartupConfig();
@ -21,30 +48,43 @@ export default function useMentions({ assistantMap }: { assistantMap: Record<str
const { data: endpoints = [] } = useGetEndpointsQuery({
select: mapEndpoints,
});
const { data: assistants = [] } = useListAssistantsQuery(undefined, {
select: (res) =>
res.data
.map(({ id, name, description }) => ({
type: 'assistant',
label: name ?? '',
value: id,
description: description ?? '',
icon: EndpointIcon({
conversation: { assistant_id: id, endpoint: EModelEndpoint.assistants },
containerClassName: 'shadow-stroke overflow-hidden rounded-full',
endpointsConfig: endpointsConfig,
context: 'menu-item',
const listMap = useAssistantListMap((res) =>
res.data.map(({ id, name, description }) => ({
id,
name,
description,
})),
);
const assistantListMap = useMemo(
() => ({
[EModelEndpoint.assistants]: listMap[EModelEndpoint.assistants]
.map(
assistantMapFn({
endpoint: EModelEndpoint.assistants,
assistantMap,
size: 20,
endpointsConfig,
}),
}))
)
.filter(Boolean),
});
[EModelEndpoint.azureAssistants]: listMap[EModelEndpoint.azureAssistants]
.map(
assistantMapFn({
endpoint: EModelEndpoint.azureAssistants,
assistantMap,
endpointsConfig,
}),
)
.filter(Boolean),
}),
[listMap, assistantMap, endpointsConfig],
);
const modelSpecs = useMemo(() => startupConfig?.modelSpecs?.list ?? [], [startupConfig]);
const interfaceConfig = useMemo(
() => startupConfig?.interface ?? defaultInterface,
[startupConfig],
);
const { onSelectMention } = useSelectMention({
modelSpecs,
endpointsConfig,
@ -52,7 +92,7 @@ export default function useMentions({ assistantMap }: { assistantMap: Record<str
assistantMap,
});
const options = useMemo(() => {
const options: MentionOption[] = useMemo(() => {
const mentions = [
...(modelSpecs?.length > 0 ? modelSpecs : []).map((modelSpec) => ({
value: modelSpec.name,
@ -67,12 +107,12 @@ export default function useMentions({ assistantMap }: { assistantMap: Record<str
context: 'menu-item',
size: 20,
}),
type: 'modelSpec',
type: 'modelSpec' as const,
})),
...(interfaceConfig.endpointsMenu ? endpoints : []).map((endpoint) => ({
value: endpoint,
label: alternateName[endpoint] ?? endpoint ?? '',
type: 'endpoint',
type: 'endpoint' as const,
icon: EndpointIcon({
conversation: { endpoint },
endpointsConfig,
@ -80,7 +120,12 @@ export default function useMentions({ assistantMap }: { assistantMap: Record<str
size: 20,
}),
})),
...(endpointsConfig?.[EModelEndpoint.assistants] ? assistants : []),
...(endpointsConfig?.[EModelEndpoint.assistants]
? assistantListMap[EModelEndpoint.assistants]
: []),
...(endpointsConfig?.[EModelEndpoint.azureAssistants]
? assistantListMap[EModelEndpoint.azureAssistants]
: []),
...((interfaceConfig.presets ? presets : [])?.map((preset, index) => ({
value: preset.presetId ?? `preset-${index}`,
label: preset.title ?? preset.modelLabel ?? preset.chatGptLabel ?? '',
@ -93,7 +138,7 @@ export default function useMentions({ assistantMap }: { assistantMap: Record<str
assistantMap,
size: 20,
}),
type: 'preset',
type: 'preset' as const,
})) ?? []),
];
@ -102,17 +147,17 @@ export default function useMentions({ assistantMap }: { assistantMap: Record<str
presets,
endpoints,
modelSpecs,
assistants,
assistantMap,
endpointsConfig,
assistantListMap,
interfaceConfig.presets,
interfaceConfig.endpointsMenu,
]);
return {
options,
assistants,
modelsConfig,
onSelectMention,
assistantListMap,
};
}

View file

@ -1,12 +1,12 @@
import { useCallback } from 'react';
import { useRecoilValue } from 'recoil';
import { EModelEndpoint } from 'librechat-data-provider';
import { EModelEndpoint, isAssistantsEndpoint } from 'librechat-data-provider';
import type {
TPreset,
TModelSpec,
TConversation,
TAssistantsMap,
TEndpointsConfig,
TPreset,
Assistant,
} from 'librechat-data-provider';
import type { MentionOption } from '~/common';
import { getConvoSwitchLogic, getModelSpecIconURL, removeUnavailableTools } from '~/utils';
@ -23,7 +23,7 @@ export default function useSelectMention({
presets?: TPreset[];
modelSpecs: TModelSpec[];
endpointsConfig: TEndpointsConfig;
assistantMap: Record<string, Assistant>;
assistantMap: TAssistantsMap;
}) {
const { conversation } = useChatContext();
const { newConversation } = useNewConvo();
@ -194,10 +194,10 @@ export default function useSelectMention({
onSelectEndpoint(key, { model: option.label });
} else if (option.type === 'endpoint') {
onSelectEndpoint(key);
} else if (option.type === 'assistant') {
onSelectEndpoint(EModelEndpoint.assistants, {
} else if (isAssistantsEndpoint(option.type)) {
onSelectEndpoint(option.type, {
assistant_id: key,
model: assistantMap?.[key]?.model ?? '',
model: assistantMap?.[option.type]?.[key]?.model ?? '',
});
}
},

View file

@ -1,6 +1,6 @@
import debounce from 'lodash/debounce';
import { useEffect, useRef, useCallback } from 'react';
import { EModelEndpoint } from 'librechat-data-provider';
import { isAssistantsEndpoint } from 'librechat-data-provider';
import { useRecoilValue, useSetRecoilState } from 'recoil';
import type { TEndpointOption } from 'librechat-data-provider';
import type { KeyboardEvent } from 'react';
@ -45,10 +45,11 @@ export default function useTextarea({
const { conversationId, jailbreak, endpoint = '', assistant_id } = conversation || {};
const isNotAppendable =
((latestMessage?.unfinished && !isSubmitting) || latestMessage?.error) &&
endpoint !== EModelEndpoint.assistants;
!isAssistantsEndpoint(endpoint);
// && (conversationId?.length ?? 0) > 6; // also ensures that we don't show the wrong placeholder
const assistant = endpoint === EModelEndpoint.assistants && assistantMap?.[assistant_id ?? ''];
const assistant =
isAssistantsEndpoint(endpoint) && assistantMap?.[endpoint ?? '']?.[assistant_id ?? ''];
const assistantName = (assistant && assistant?.name) || '';
// auto focus to input, when enter a conversation.
@ -86,9 +87,11 @@ export default function useTextarea({
if (disabled) {
return localize('com_endpoint_config_placeholder');
}
const currentEndpoint = conversation?.endpoint ?? '';
const currentAssistantId = conversation?.assistant_id ?? '';
if (
conversation?.endpoint === EModelEndpoint.assistants &&
(!conversation?.assistant_id || !assistantMap?.[conversation?.assistant_id ?? ''])
isAssistantsEndpoint(currentEndpoint) &&
(!currentAssistantId || !assistantMap?.[currentEndpoint]?.[currentAssistantId ?? ''])
) {
return localize('com_endpoint_assistant_placeholder');
}
@ -97,10 +100,9 @@ export default function useTextarea({
return localize('com_endpoint_message_not_appendable');
}
const sender =
conversation?.endpoint === EModelEndpoint.assistants
? getAssistantName({ name: assistantName, localize })
: getSender(conversation as TEndpointOption);
const sender = isAssistantsEndpoint(currentEndpoint)
? getAssistantName({ name: assistantName, localize })
: getSender(conversation as TEndpointOption);
return `${localize('com_endpoint_message')} ${sender ? sender : 'ChatGPT'}`;
};

View file

@ -1,5 +1,5 @@
import { useEffect, useRef, useCallback } from 'react';
import { EModelEndpoint } from 'librechat-data-provider';
import { isAssistantsEndpoint } from 'librechat-data-provider';
import type { TMessageProps } from '~/common';
import { useChatContext, useAssistantsMapContext } from '~/Providers';
import useCopyToClipboard from './useCopyToClipboard';
@ -55,7 +55,8 @@ export default function useMessageHelpers(props: TMessageProps) {
}, [isSubmitting, setAbortScroll]);
const assistant =
conversation?.endpoint === EModelEndpoint.assistants && assistantMap?.[message?.model ?? ''];
isAssistantsEndpoint(conversation?.endpoint) &&
assistantMap?.[conversation?.endpoint ?? '']?.[message?.model ?? ''];
const regenerateMessage = () => {
if ((isSubmitting && isCreatedByUser) || !message) {

View file

@ -1,35 +1,44 @@
import { useState, useEffect } from 'react';
import { useState, useEffect, useMemo, useCallback } from 'react';
export default function useProgress(initialProgress = 0.01, increment = 0.007, fileSize?: number) {
const calculateIncrement = (size?: number) => {
const baseRate = 0.05;
const minRate = 0.002;
const sizeMB = size ? size / (1024 * 1024) : 0;
const calculateIncrement = useCallback(
(size?: number) => {
const baseRate = 0.05;
const minRate = 0.002;
const sizeMB = size ? size / (1024 * 1024) : 0;
if (!size) {
return increment;
}
if (!size) {
return increment;
}
if (sizeMB <= 1) {
return baseRate * 2;
} else {
return Math.max(baseRate / Math.sqrt(sizeMB), minRate);
}
};
if (sizeMB <= 1) {
return baseRate * 2;
} else {
return Math.max(baseRate / Math.sqrt(sizeMB), minRate);
}
},
[increment],
);
const incrementValue = calculateIncrement(fileSize);
const incrementValue = useMemo(
() => calculateIncrement(fileSize),
[fileSize, calculateIncrement],
);
const [progress, setProgress] = useState(initialProgress);
const getDynamicIncrement = (currentProgress: number) => {
if (!fileSize) {
return incrementValue;
}
if (currentProgress < 0.7) {
return incrementValue;
} else {
return Math.max(0.0005, incrementValue * (1 - currentProgress));
}
};
const getDynamicIncrement = useCallback(
(currentProgress: number) => {
if (!fileSize) {
return incrementValue;
}
if (currentProgress < 0.7) {
return incrementValue;
} else {
return Math.max(0.0005, incrementValue * (1 - currentProgress));
}
},
[incrementValue, fileSize],
);
useEffect(() => {
let timeout: ReturnType<typeof setTimeout>;
@ -58,7 +67,7 @@ export default function useProgress(initialProgress = 0.01, increment = 0.007, f
clearInterval(timer);
clearTimeout(timeout);
};
}, [progress, initialProgress, incrementValue, fileSize]);
}, [progress, initialProgress, incrementValue, fileSize, getDynamicIncrement]);
return progress;
}

View file

@ -3,7 +3,7 @@ import {
ArrowRightToLine,
// Settings2,
} from 'lucide-react';
import { EModelEndpoint } from 'librechat-data-provider';
import { EModelEndpoint, isAssistantsEndpoint } from 'librechat-data-provider';
import type { TConfig, TInterfaceConfig } from 'librechat-data-provider';
import type { NavLink } from '~/common';
import PanelSwitch from '~/components/SidePanel/Builder/PanelSwitch';
@ -26,7 +26,7 @@ export default function useSideNavLinks({
}) {
const Links = useMemo(() => {
const links: NavLink[] = [];
// if (endpoint !== EModelEndpoint.assistants) {
// if (!isAssistantsEndpoint(endpoint)) {
// links.push({
// title: 'com_sidepanel_parameters',
// label: '',
@ -36,7 +36,7 @@ export default function useSideNavLinks({
// });
// }
if (
endpoint === EModelEndpoint.assistants &&
isAssistantsEndpoint(endpoint) &&
assistants &&
assistants.disableBuilder !== true &&
keyProvided &&

View file

@ -12,10 +12,10 @@ import {
createPayload,
tPresetSchema,
tMessageSchema,
EModelEndpoint,
LocalStorageKeys,
tConvoUpdateSchema,
removeNullishValues,
isAssistantsEndpoint,
} from 'librechat-data-provider';
import { useGetUserBalance, useGetStartupConfig } from 'librechat-data-provider/react-query';
import type {
@ -441,7 +441,7 @@ export default function useSSE(submission: TSubmission | null, index = 0) {
Authorization: `Bearer ${token}`,
},
body: JSON.stringify({
abortKey: _endpoint === EModelEndpoint.assistants ? runAbortKey : conversationId,
abortKey: isAssistantsEndpoint(_endpoint) ? runAbortKey : conversationId,
endpoint,
}),
});
@ -513,7 +513,7 @@ export default function useSSE(submission: TSubmission | null, index = 0) {
const payloadData = createPayload(submission);
let { payload } = payloadData;
if (payload.endpoint === EModelEndpoint.assistants) {
if (isAssistantsEndpoint(payload.endpoint)) {
payload = removeNullishValues(payload);
}

View file

@ -18,7 +18,6 @@ export { default as useNewConvo } from './useNewConvo';
export { default as useLocalize } from './useLocalize';
export { default as useMediaQuery } from './useMediaQuery';
export { default as useChatHelpers } from './useChatHelpers';
export { default as useGenerations } from './useGenerations';
export { default as useScrollToRef } from './useScrollToRef';
export { default as useLocalStorage } from './useLocalStorage';
export { default as useDelayedRender } from './useDelayedRender';

View file

@ -3,10 +3,10 @@ import { useCallback, useState } from 'react';
import { useQueryClient } from '@tanstack/react-query';
import {
Constants,
EModelEndpoint,
QueryKeys,
parseCompactConvo,
ContentTypes,
parseCompactConvo,
isAssistantsEndpoint,
} from 'librechat-data-provider';
import { useRecoilState, useResetRecoilState, useSetRecoilState } from 'recoil';
import { useGetMessagesByConvoId } from 'librechat-data-provider/react-query';
@ -215,7 +215,7 @@ export default function useChatHelpers(index = 0, paramId: string | undefined) {
error: false,
};
if (endpoint === EModelEndpoint.assistants) {
if (isAssistantsEndpoint(endpoint)) {
initialResponse.model = conversation?.assistant_id ?? '';
initialResponse.text = '';
initialResponse.content = [

View file

@ -1,68 +0,0 @@
import type { TMessage } from 'librechat-data-provider';
import { EModelEndpoint } from 'librechat-data-provider';
import { useRecoilValue } from 'recoil';
import store from '~/store';
type TUseGenerations = {
endpoint?: string;
message: TMessage;
isSubmitting: boolean;
isEditing?: boolean;
latestMessage?: TMessage | null;
};
export default function useGenerations({
endpoint,
message,
isSubmitting,
isEditing = false,
latestMessage: _latestMessage,
}: TUseGenerations) {
const latestMessage = useRecoilValue(store.latestMessage) ?? _latestMessage;
const { error, messageId, searchResult, finish_reason, isCreatedByUser } = message ?? {};
const isEditableEndpoint = !![
EModelEndpoint.openAI,
EModelEndpoint.google,
EModelEndpoint.assistants,
EModelEndpoint.anthropic,
EModelEndpoint.gptPlugins,
EModelEndpoint.azureOpenAI,
].find((e) => e === endpoint);
const continueSupported =
latestMessage?.messageId === messageId &&
finish_reason &&
finish_reason !== 'stop' &&
!isEditing &&
!searchResult &&
isEditableEndpoint;
const branchingSupported =
// 5/21/23: Bing is allowing editing and Message regenerating
!![
EModelEndpoint.azureOpenAI,
EModelEndpoint.openAI,
EModelEndpoint.chatGPTBrowser,
EModelEndpoint.google,
EModelEndpoint.bingAI,
EModelEndpoint.gptPlugins,
EModelEndpoint.anthropic,
].find((e) => e === endpoint);
const regenerateEnabled =
!isCreatedByUser && !searchResult && !isEditing && !isSubmitting && branchingSupported;
const hideEditButton =
isSubmitting ||
error ||
searchResult ||
!branchingSupported ||
(!isEditableEndpoint && !isCreatedByUser);
return {
continueSupported,
regenerateEnabled,
hideEditButton,
};
}

View file

@ -1,5 +1,5 @@
import type { TMessage } from 'librechat-data-provider';
import { EModelEndpoint } from 'librechat-data-provider';
import { EModelEndpoint, isAssistantsEndpoint } from 'librechat-data-provider';
type TUseGenerations = {
endpoint?: string;
@ -21,7 +21,6 @@ export default function useGenerationsByLatest({
EModelEndpoint.openAI,
EModelEndpoint.custom,
EModelEndpoint.google,
EModelEndpoint.assistants,
EModelEndpoint.anthropic,
EModelEndpoint.gptPlugins,
EModelEndpoint.azureOpenAI,
@ -58,12 +57,13 @@ export default function useGenerationsByLatest({
!branchingSupported ||
(!isEditableEndpoint && !isCreatedByUser);
const forkingSupported = endpoint !== EModelEndpoint.assistants && !searchResult;
const forkingSupported = !isAssistantsEndpoint(endpoint) && !searchResult;
return {
forkingSupported,
continueSupported,
regenerateEnabled,
isEditableEndpoint,
hideEditButton,
};
}

View file

@ -4,12 +4,7 @@ import {
useGetStartupConfig,
useGetEndpointsQuery,
} from 'librechat-data-provider/react-query';
import {
FileSources,
EModelEndpoint,
LocalStorageKeys,
defaultOrderQuery,
} from 'librechat-data-provider';
import { FileSources, LocalStorageKeys, isAssistantsEndpoint } from 'librechat-data-provider';
import {
useRecoilState,
useRecoilValue,
@ -24,6 +19,7 @@ import type {
TConversation,
TEndpointsConfig,
} from 'librechat-data-provider';
import type { AssistantListItem } from '~/common';
import {
getEndpointField,
buildDefaultConvo,
@ -32,7 +28,8 @@ import {
getModelSpecIconURL,
updateLastSelectedModel,
} from '~/utils';
import { useDeleteFilesMutation, useListAssistantsQuery } from '~/data-provider';
import useAssistantListMap from './Assistants/useAssistantListMap';
import { useDeleteFilesMutation } from '~/data-provider';
import useOriginNavigate from './useOriginNavigate';
import { mainTextareaId } from '~/common';
import store from '~/store';
@ -48,11 +45,7 @@ const useNewConvo = (index = 0) => {
const { data: endpointsConfig = {} as TEndpointsConfig } = useGetEndpointsQuery();
const modelsQuery = useGetModelsQuery();
const timeoutIdRef = useRef<NodeJS.Timeout>();
const { data: assistants = [] } = useListAssistantsQuery(defaultOrderQuery, {
select: (res) =>
res.data.map(({ id, name, metadata, model }) => ({ id, name, metadata, model })),
});
const assistantsListMap = useAssistantListMap();
const { mutateAsync } = useDeleteFilesMutation({
onSuccess: () => {
@ -100,12 +93,21 @@ const useNewConvo = (index = 0) => {
conversation.endpointType = undefined;
}
const isAssistantEndpoint = defaultEndpoint === EModelEndpoint.assistants;
const isAssistantEndpoint = isAssistantsEndpoint(defaultEndpoint);
const assistants: AssistantListItem[] = assistantsListMap[defaultEndpoint] ?? [];
if (
conversation.assistant_id &&
!assistantsListMap[defaultEndpoint]?.[conversation.assistant_id]
) {
conversation.assistant_id = undefined;
}
if (!conversation.assistant_id && isAssistantEndpoint) {
conversation.assistant_id =
localStorage.getItem(`${LocalStorageKeys.ASST_ID_PREFIX}${index}`) ??
assistants[0]?.id;
localStorage.getItem(
`${LocalStorageKeys.ASST_ID_PREFIX}${index}${defaultEndpoint}`,
) ?? assistants[0]?.id;
}
if (
@ -116,7 +118,7 @@ const useNewConvo = (index = 0) => {
const assistant = assistants.find((asst) => asst.id === conversation.assistant_id);
conversation.model = assistant?.model;
updateLastSelectedModel({
endpoint: EModelEndpoint.assistants,
endpoint: defaultEndpoint,
model: conversation.model,
});
}
@ -156,7 +158,7 @@ const useNewConvo = (index = 0) => {
}
}, 150);
},
[endpointsConfig, defaultPreset, assistants, modelsQuery.data],
[endpointsConfig, defaultPreset, assistantsListMap, modelsQuery.data],
);
const newConversation = useCallback(

View file

@ -196,6 +196,8 @@ export default {
com_ui_result: 'Result',
com_ui_image_gen: 'Image Gen',
com_ui_assistant: 'Assistant',
com_ui_assistant_deleted: 'Successfully deleted assistant',
com_ui_assistant_delete_error: 'There was an error deleting the assistant',
com_ui_assistants: 'Assistants',
com_ui_attachment: 'Attachment',
com_ui_assistants_output: 'Assistants Output',

View file

@ -1,15 +1,15 @@
import { useEffect, useRef } from 'react';
import { useParams } from 'react-router-dom';
import { defaultOrderQuery } from 'librechat-data-provider';
import { EModelEndpoint } from 'librechat-data-provider';
import {
useGetModelsQuery,
useGetStartupConfig,
useGetEndpointsQuery,
} from 'librechat-data-provider/react-query';
import type { TPreset } from 'librechat-data-provider';
import { useGetConvoIdQuery, useListAssistantsQuery } from '~/data-provider';
import { useNewConvo, useAppStartup, useAssistantListMap } from '~/hooks';
import { getDefaultModelSpec, getModelSpecIconURL } from '~/utils';
import { useNewConvo, useAppStartup } from '~/hooks';
import { useGetConvoIdQuery } from '~/data-provider';
import ChatView from '~/components/Chat/ChatView';
import useAuthRedirect from './useAuthRedirect';
import { Spinner } from '~/components/svg';
@ -35,10 +35,7 @@ export default function ChatRoute() {
enabled: isAuthenticated && conversationId !== 'new',
});
const endpointsQuery = useGetEndpointsQuery({ enabled: isAuthenticated });
const { data: assistants = null } = useListAssistantsQuery(defaultOrderQuery, {
select: (res) =>
res.data.map(({ id, name, metadata, model }) => ({ id, name, metadata, model })),
});
const assistantListMap = useAssistantListMap();
useEffect(() => {
if (
@ -87,7 +84,8 @@ export default function ChatRoute() {
!hasSetConversation.current &&
!modelsQuery.data?.initial &&
conversationId === 'new' &&
assistants
assistantListMap[EModelEndpoint.assistants] &&
assistantListMap[EModelEndpoint.azureAssistants]
) {
const spec = getDefaultModelSpec(startupConfig.modelSpecs?.list);
newConversation({
@ -108,7 +106,8 @@ export default function ChatRoute() {
startupConfig &&
!hasSetConversation.current &&
!modelsQuery.data?.initial &&
assistants
assistantListMap[EModelEndpoint.assistants] &&
assistantListMap[EModelEndpoint.azureAssistants]
) {
newConversation({
template: initialConvoQuery.data,
@ -120,7 +119,13 @@ export default function ChatRoute() {
}
/* Creates infinite render if all dependencies included due to newConversation invocations exceeding call stack before hasSetConversation.current becomes truthy */
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [startupConfig, initialConvoQuery.data, endpointsQuery.data, modelsQuery.data, assistants]);
}, [
startupConfig,
initialConvoQuery.data,
endpointsQuery.data,
modelsQuery.data,
assistantListMap,
]);
if (endpointsQuery.isLoading || modelsQuery.isLoading) {
return <Spinner className="m-auto text-black dark:text-white" />;

View file

@ -4,6 +4,7 @@ import type { TEndpointsConfig } from 'librechat-data-provider';
const defaultConfig: TEndpointsConfig = {
[EModelEndpoint.azureOpenAI]: null,
[EModelEndpoint.azureAssistants]: null,
[EModelEndpoint.assistants]: null,
[EModelEndpoint.openAI]: null,
[EModelEndpoint.bingAI]: null,

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