LibreChat/api/server/middleware/abortRun.js
Danny Avila f427ad792a
🚀 feat: Assistants Streaming (#2159)
* chore: bump openai to 4.29.0 and npm audit fix

* chore: remove unnecessary stream field from ContentData

* feat: new enum and types for AssistantStreamEvent

* refactor(AssistantService): remove stream field and add conversationId to text ContentData
> - return `finalMessage` and `text` on run completion
> - move `processMessages` to services/Threads to avoid circular dependencies with new stream handling
> - refactor(processMessages/retrieveAndProcessFile): add new `client` field to differentiate new RunClient type

* WIP: new assistants stream handling

* chore: stores messages to StreamRunManager

* chore: add additional typedefs

* fix: pass req and openai to StreamRunManager

* fix(AssistantService): pass openai as client to `retrieveAndProcessFile`

* WIP: streaming tool i/o, handle in_progress and completed run steps

* feat(assistants): process required actions with streaming enabled

* chore: condense early return check for useSSE useEffect

* chore: remove unnecessary comments and only handle completed tool calls when not function

* feat: add TTL for assistants run abort cacheKey

* feat: abort stream runs

* fix(assistants): render streaming cursor

* fix(assistants): hide edit icon as functionality is not supported

* fix(textArea): handle pasting edge cases; first, when onChange events wouldn't fire; second, when textarea wouldn't resize

* chore: memoize Conversations

* chore(useTextarea): reverse args order

* fix: load default capabilities when an azure is configured to support assistants, but `assistants` endpoint is not configured

* fix(AssistantSelect): update form assistant model on assistant form select

* fix(actions): handle azure strict validation for function names to fix crud for actions

* chore: remove content data debug log as it fires in rapid succession

* feat: improve UX for assistant errors mid-request

* feat: add tool call localizations and replace any domain separators from azure action names

* refactor(chat): error out tool calls without outputs during handleError

* fix(ToolService): handle domain separators allowing Azure use of actions

* refactor(StreamRunManager): types and throw Error if tool submission fails
2024-03-21 22:42:25 -04:00

93 lines
2.8 KiB
JavaScript

const { CacheKeys, RunStatus, isUUID } = require('librechat-data-provider');
const { initializeClient } = require('~/server/services/Endpoints/assistants');
const { checkMessageGaps, recordUsage } = require('~/server/services/Threads');
const { getConvo } = require('~/models/Conversation');
const getLogStores = require('~/cache/getLogStores');
const { sendMessage } = require('~/server/utils');
const { logger } = require('~/config');
const three_minutes = 1000 * 60 * 3;
async function abortRun(req, res) {
res.setHeader('Content-Type', 'application/json');
const { abortKey } = req.body;
const [conversationId, latestMessageId] = abortKey.split(':');
const conversation = await getConvo(req.user.id, conversationId);
if (conversation?.model) {
req.body.model = conversation.model;
}
if (!isUUID.safeParse(conversationId).success) {
logger.error('[abortRun] Invalid conversationId', { conversationId });
return res.status(400).send({ message: 'Invalid conversationId' });
}
const cacheKey = `${req.user.id}:${conversationId}`;
const cache = getLogStores(CacheKeys.ABORT_KEYS);
const runValues = await cache.get(cacheKey);
const [thread_id, run_id] = runValues.split(':');
if (!run_id) {
logger.warn('[abortRun] Couldn\'t find run for cancel request', { thread_id });
return res.status(204).send({ message: 'Run not found' });
} else if (run_id === 'cancelled') {
logger.warn('[abortRun] Run already cancelled', { thread_id });
return res.status(204).send({ message: 'Run already cancelled' });
}
let runMessages = [];
/** @type {{ openai: OpenAI }} */
const { openai } = await initializeClient({ req, res });
try {
await cache.set(cacheKey, 'cancelled', three_minutes);
const cancelledRun = await openai.beta.threads.runs.cancel(thread_id, run_id);
logger.debug('[abortRun] Cancelled run:', cancelledRun);
} catch (error) {
logger.error('[abortRun] Error cancelling run', error);
if (
error?.message?.includes(RunStatus.CANCELLED) ||
error?.message?.includes(RunStatus.CANCELLING)
) {
return res.end();
}
}
try {
const 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('[abortRun] Error fetching or processing run', error);
}
runMessages = await checkMessageGaps({
openai,
latestMessageId,
thread_id,
run_id,
conversationId,
});
const finalEvent = {
title: 'New Chat',
final: true,
conversation,
runMessages,
};
if (res.headersSent && finalEvent) {
return sendMessage(res, finalEvent);
}
res.json(finalEvent);
}
module.exports = {
abortRun,
};