optimize ux think mode

This commit is contained in:
team 1
2026-04-11 20:55:42 +02:00
parent 521f8bd5a3
commit 6559f87dbc
3 changed files with 280 additions and 39 deletions

View File

@@ -1,7 +1,7 @@
document.addEventListener('DOMContentLoaded', () => {
const chatEl = document.getElementById('chat');
const chatEl = document.getElementById('chat');
const promptEl = document.getElementById('prompt');
const sendBtn = document.getElementById('send');
const sendBtn = document.getElementById('send');
const abortBtn = document.getElementById('abort');
const clearBtn = document.getElementById('clear');
@@ -32,14 +32,165 @@ document.addEventListener('DOMContentLoaded', () => {
return addMessage('assistant', 'AI is thinking…', 'loader');
}
function cleanupEmptyBlocks(container) {
container.querySelectorAll('p, div, li, blockquote').forEach((el) => {
const html = el.innerHTML
.replace(/<br\s*\/?>/gi, '')
.replace(/&nbsp;/gi, '')
.trim();
const text = (el.textContent || '').trim();
if (html === '' || text === '') {
el.remove();
}
});
}
function stripAllThinkContent(container) {
const blockSelector = 'p, div, li, blockquote';
const thinkSpans = Array.from(container.querySelectorAll('.think'));
if (thinkSpans.length === 0) {
return;
}
const handledBlocks = new Set();
thinkSpans.forEach((span) => {
const block = span.closest(blockSelector) || span.parentElement;
if (!block || handledBlocks.has(block)) {
return;
}
handledBlocks.add(block);
const thinksInBlock = Array.from(block.querySelectorAll('.think'));
const lastThinkInBlock = thinksInBlock[thinksInBlock.length - 1];
if (!lastThinkInBlock) {
return;
}
let node = block.firstChild;
while (node) {
const next = node.nextSibling;
node.remove();
if (node === lastThinkInBlock) {
break;
}
node = next;
}
while (
block.firstChild &&
(
(block.firstChild.nodeType === Node.TEXT_NODE &&
block.firstChild.textContent.trim() === '') ||
(block.firstChild.nodeType === Node.ELEMENT_NODE &&
block.firstChild.tagName === 'BR')
)
) {
block.firstChild.remove();
}
});
cleanupEmptyBlocks(container);
}
function hasNonThinkContent(container) {
const clone = container.cloneNode(true);
stripAllThinkContent(clone);
cleanupEmptyBlocks(clone);
if ((clone.textContent || '').trim() !== '') {
return true;
}
return clone.querySelector(
'img, table, pre, code, ul, ol, h1, h2, h3, h4, h5, h6, a'
) !== null;
}
function cleanupThinkSpans(container) {
if (!container) {
return;
}
const thinkSpans = Array.from(container.querySelectorAll('.think'));
if (thinkSpans.length === 0) {
return;
}
if (hasNonThinkContent(container)) {
stripAllThinkContent(container);
return;
}
if (thinkSpans.length <= 1) {
return;
}
const blockSelector = 'p, div, li, blockquote';
const lastThink = thinkSpans[thinkSpans.length - 1];
const lastBlock = lastThink.closest(blockSelector) || lastThink.parentElement;
thinkSpans.slice(0, -1).forEach((span) => {
const block = span.closest(blockSelector) || span.parentElement;
if (block && block !== lastBlock) {
block.remove();
return;
}
if (block === lastBlock) {
span.remove();
}
});
if (lastBlock && lastBlock.contains(lastThink)) {
let node = lastBlock.firstChild;
while (node && node !== lastThink) {
const next = node.nextSibling;
node.remove();
node = next;
}
while (
lastThink.nextSibling &&
(
(lastThink.nextSibling.nodeType === Node.TEXT_NODE &&
lastThink.nextSibling.textContent.trim() === '') ||
(lastThink.nextSibling.nodeType === Node.ELEMENT_NODE &&
lastThink.nextSibling.tagName === 'BR')
)
) {
lastThink.nextSibling.remove();
}
}
cleanupEmptyBlocks(container);
}
function renderBubbleContent(bubble, raw) {
bubble.innerHTML = renderMarkdown(raw);
cleanupThinkSpans(bubble);
chatEl.scrollTop = chatEl.scrollHeight;
}
async function loadHistory() {
try {
const res = await fetch('/history');
if (!res.ok) return;
const messages = await res.json();
messages.forEach(m =>
addMessage(m.role, renderMarkdown(m.text))
);
messages.forEach(m => addMessage(m.role, renderMarkdown(m.text)));
} catch {}
}
@@ -47,8 +198,8 @@ document.addEventListener('DOMContentLoaded', () => {
promptEl.addEventListener('keydown', (e) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault(); // verhindert normalen Zeilenumbruch
sendBtn.click(); // löst vorhandene Send-Logik aus
e.preventDefault();
sendBtn.click();
}
});
@@ -64,14 +215,11 @@ document.addEventListener('DOMContentLoaded', () => {
let firstChunk = true;
let renderTimer = null;
// 🔥 LÖSUNG: Throttled Rendering - maximal alle 100ms
function scheduleRender() {
if (renderTimer) return;
renderTimer = setTimeout(() => {
// Der StreamChunker sendet bereits korrekt strukturierte Chunks
bubble.innerHTML = renderMarkdown(raw);
chatEl.scrollTop = chatEl.scrollHeight;
renderBubbleContent(bubble, raw);
renderTimer = null;
}, 100);
}
@@ -101,14 +249,12 @@ document.addEventListener('DOMContentLoaded', () => {
const chunk = decoder.decode(value, { stream: true });
sseBuffer += chunk;
// Parse SSE Events (können mehrere data:-Zeilen haben)
const events = sseBuffer.split('\n\n');
sseBuffer = events.pop() || ''; // Letzten unvollständigen Event behalten
sseBuffer = events.pop() || '';
events.forEach(event => {
if (!event.trim()) return;
// Sammle alle "data:"-Zeilen und füge \n wieder ein
const dataLines = event
.split('\n')
.filter(line => line.startsWith('data: '))
@@ -116,20 +262,15 @@ document.addEventListener('DOMContentLoaded', () => {
if (dataLines.length === 0) return;
// Verbinde mit \n (so wie es vom Backend kam)
const text = dataLines.join('\n');
if (text === '[DONE]') {
// 🔥 Final render flush
if (renderTimer) {
clearTimeout(renderTimer);
renderTimer = null;
}
bubble.innerHTML = renderMarkdown(raw);
chatEl.scrollTop = chatEl.scrollHeight;
renderBubbleContent(bubble, raw);
abort = true;
return;
}
@@ -141,16 +282,17 @@ document.addEventListener('DOMContentLoaded', () => {
document.getElementById('ai-cloud')?.classList.add('d-none');
}
// Text sammeln und verzögert rendern
raw += text;
scheduleRender();
});
}
} catch {
bubble.innerHTML += '<br><em>Error occurred.</em>';
} finally {
if (renderTimer) clearTimeout(renderTimer);
if (renderTimer) {
clearTimeout(renderTimer);
}
sendBtn.disabled = false;
abortBtn.disabled = true;
clearBtn.disabled = false;

View File

@@ -372,3 +372,41 @@ body {
.text-glow{
text-shadow: #86b7fe 2px 1px 14px;
}
span.think {
color: #86b7fe;
}
.think {
display: inline-block;
color: rgba(255, 255, 255, 0.72);
background-image: linear-gradient(
100deg,
rgba(255, 255, 255, 0) 0%,
rgba(255, 255, 255, 0) 32%,
rgba(255, 255, 255, 1) 50%,
rgba(255, 255, 255, 0) 58%,
rgba(255, 255, 255, 0) 100%
);
background-size: 180% 100%;
background-repeat: no-repeat;
background-position: 220% 0;
-webkit-background-clip: text;
background-clip: text;
animation: thinkScan 2.2s linear infinite;
}
@keyframes thinkScan {
0% {
background-position: 180% 0;
}
100% {
background-position: -20% 0;
}
}
@media (prefers-reduced-motion: reduce) {
.think {
animation: none;
}
}

View File

@@ -13,10 +13,11 @@ use App\Knowledge\Retrieval\RetrieverInterface;
use Generator;
use Psr\Log\LoggerInterface;
use Throwable;
use App\Agent\StreamChunker;
final readonly class AgentRunner
{
private bool $systemMsgOn;
public function __construct(
private PromptBuilder $promptBuilder,
private ThinkSuppressor $thinkSuppressor,
@@ -32,12 +33,14 @@ final readonly class AgentRunner
private bool $logContext,
)
{
$this->systemMsgOn = true;
}
public function run(string $prompt, string $userId, ?bool $includeFullContext = false): Generator
public function run(string $prompt, string $userId, ?bool $includeFullContext = true): Generator
{
$prompt = trim($prompt);
$shopResults = [];
$swagFullOutPut = '';
if ($prompt === '') {
yield '❌ Empty prompt.';
@@ -53,6 +56,49 @@ final readonly class AgentRunner
// 1) Context strategy
// ---------------------------------------------------------
//$includeFullContext = false;
if ($includeFullContext) {
yield $this->systemMsg("Ich analyse deine Anfrage...", "think");
$promptSwagSearch = '
Erzeuge aus dem folgenden Nutzereingabetext einen kurzen Suchtext für die Shopware-6-Suche.
Regeln:
- Gib nur den finalen Suchtext aus.
- Keine Einleitung, keine Erklärung, keine Anführungszeichen.
- Verwende nur die wichtigsten Suchbegriffe aus dem Text.
- Maximal 6 Keywords, besser weniger.
- Entferne Füllwörter, Höflichkeitsformen und irrelevante Wörter.
- Erhalte Produktnamen, Marken, Modellnummern und zusammengesetzte Begriffe exakt, wenn sie relevant sind.
- Zahlen, die zu einem Produktnamen oder Modell gehören, müssen erhalten bleiben.
- Trenne die Begriffe nur durch Leerzeichen.
Ausgabeformat:
Keyword1 Keyword2 Keyword3
Text: ' . $prompt . '
';
$this->thinkSuppressor->reset();
foreach ($this->ollamaClient->stream($promptSwagSearch) as $swagToken) {
if (!is_string($swagToken)) {
continue;
}
$swagCleanToken = $this->thinkSuppressor->filter($swagToken);
if ($swagCleanToken === '') {
continue;
}
$swagFullOutPut .= $swagCleanToken;
}
yield $this->systemMsg("Ich habe folgende Keywords an die Shopsuche geschickt: " . $swagFullOutPut, "think");
}
// ---------------------------------------------------------
// 2) Extract URL content (if present)
@@ -62,7 +108,7 @@ final readonly class AgentRunner
// ---------------------------------------------------------
// 3) Retrieve RAG knowledge
// ---------------------------------------------------------
yield "Hole Daten aus dem RAG Wissen... \n";
yield $this->systemMsg("Ich hole relevante Daten aus meinem RAG Wissen...", "think");
$knowledgeChunks = $this->retriever->retrieve($prompt);
@@ -71,11 +117,11 @@ final readonly class AgentRunner
// ---------------------------------------------------------
$commerceMeta = $this->commerceIntentLite->detect($prompt);
$commerceIntent = (string) ($commerceMeta['intent'] ?? CommerceIntentLite::NONE);
$commerceIntent = (string)($commerceMeta['intent'] ?? CommerceIntentLite::NONE);
if($commerceIntent === CommerceIntentLite::ADVISORY_PRODUCT_SEARCH || $commerceIntent === CommerceIntentLite::PRODUCT_SEARCH){
yield "Rufe Shop auf (type: ".$commerceIntent.")... \n";
$shopResults = $this->shopSearchService->search($prompt,$commerceIntent);
if ($commerceIntent === CommerceIntentLite::ADVISORY_PRODUCT_SEARCH || $commerceIntent === CommerceIntentLite::PRODUCT_SEARCH) {
yield $this->systemMsg("Rufe Shop auf (type: " . $commerceIntent . ")", "think");
$shopResults = $swagFullOutPut ? $this->shopSearchService->search($swagFullOutPut, $commerceIntent) : '';
}
if ($commerceIntent === CommerceIntentLite::PRODUCT_SEARCH) {
@@ -84,13 +130,13 @@ final readonly class AgentRunner
$knowledgeChunks = array_slice($knowledgeChunks, 0, 3);
}
if($shopResults){
yield "Verarbeite Shopdaten... \n<hr>\n";
}else{
yield "Keine releveanten Shopdaten gefunden... \n<hr>\n";
if ($shopResults) {
yield $this->systemMsg("Verarbeite Shopdaten...", "think");
} else {
yield $this->systemMsg("Keine releveanten Shopdaten gefunden...", "think");
}
yield "Denke nach...\n<hr>\n";
yield $this->systemMsg("Denke nach...", "think");
// ---------------------------------------------------------
@@ -123,6 +169,8 @@ final readonly class AgentRunner
// ---------------------------------------------------------
$fullOutput = '';
$chunker = new StreamChunker();
$chunker->flush();
$this->thinkSuppressor->reset();
foreach ($this->ollamaClient->stream($finalPrompt) as $token) {
@@ -142,16 +190,16 @@ final readonly class AgentRunner
// ⬇️ Token in Chunker geben
$chunk = $chunker->push($cleanToken);
if ($chunk !== null) {
yield $chunk;
yield $this->systemMsg($chunk, 'answer');
}
}
// ⬇️ Rest flushen
$finalChunk = $chunker->flush();
if ($finalChunk !== null) {
yield $finalChunk;
yield $this->systemMsg($finalChunk, 'answer');
} else {
yield '... no data received from llm';
yield $this->systemMsg('... no data received from llm', 'err');
}
// ---------------------------------------------------------
@@ -176,7 +224,20 @@ final readonly class AgentRunner
'exception' => $e,
]);
yield "\n❌ An internal error occurred while processing the request. \nError: " . $e->getMessage();
$this->systemMsg("\n❌ An internal error occurred while processing the request. \nError: " . $e->getMessage(), 'err');
}
}
private function systemMsg(string $msg, string $type = ''): string
{
if (!$this->systemMsgOn) {
return '';
}
return match ($type) {
'answer' => '' . $msg,
'err' => '<span class="text-danger">' . $msg . "</span>\n<hr>\n",
'think' => '<span class="text-info think">' . $msg . "</span>\n"
};
}
}