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🏄‍♂️ refactor: Optimize Reasoning UI & Token Streaming (#5546)

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* ✨ feat: Implement Show Thinking feature; refactor: testing thinking render optimizations

* ✨ feat: Refactor Thinking component styles and enhance Markdown rendering

* chore: add back removed code, revert type changes

* chore: Add back resetCounter effect to Markdown component for improved code block indexing

* chore: bump @librechat/agents and google langchain packages

* WIP: reasoning type updates

* WIP: first pass, reasoning content blocks

* chore: revert code

* chore: bump @librechat/agents

* refactor: optimize reasoning tag handling

* style: ul indent padding

* feat: add Reasoning component to handle reasoning display

* feat: first pass, content reasoning part styling

* refactor: add content placeholder for endpoints using new stream handler

* refactor: only cache messages when requesting stream audio

* fix: circular dep.

* fix: add default param

* refactor: tts, only request after message stream, fix chrome autoplay

* style: update label for submitting state and add localization for 'Thinking...'

* fix: improve global audio pause logic and reset active run ID

* fix: handle artifact edge cases

* fix: remove unnecessary console log from artifact update test

* feat: add support for continued message handling with new streaming method

---------

Co-authored-by: Marco Beretta <81851188+berry-13@users.noreply.github.com>
This commit is contained in:
Danny Avila 2025-01-29 19:46:58 -05:00 • committed by GitHub
parent d60a149ad9
commit 591a019766
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48 changed files with 1791 additions and 726 deletions
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17
api/server/routes/ask/gptPlugins.js
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@ -1,11 +1,9 @@
const express = require('express');
const throttle = require('lodash/throttle');
const { getResponseSender, Constants, CacheKeys, Time } = require('librechat-data-provider');
const { getResponseSender, Constants } = require('librechat-data-provider');
const { initializeClient } = require('~/server/services/Endpoints/gptPlugins');
const { sendMessage, createOnProgress } = require('~/server/utils');
const { addTitle } = require('~/server/services/Endpoints/openAI');
const { saveMessage, updateMessage } = require('~/models');
const { getLogStores } = require('~/cache');
const {
handleAbort,
createAbortController,
@ -72,15 +70,6 @@ router.post(
}
};
const messageCache = getLogStores(CacheKeys.MESSAGES);
const throttledCacheSet = throttle(
(text) => {
messageCache.set(responseMessageId, text, Time.FIVE_MINUTES);
},
3000,
{ trailing: false },
);
let streaming = null;
let timer = null;
@ -89,13 +78,11 @@ router.post(
sendIntermediateMessage,
getPartialText,
} = createOnProgress({
onProgress: ({ text: partialText }) => {
onProgress: () => {
if (timer) {
clearTimeout(timer);
}
throttledCacheSet(partialText);
streaming = new Promise((resolve) => {
timer = setTimeout(() => {
resolve();