systemMsgOn = true; } public function run(string $prompt, string $userId, bool $forceFullContext = false, string $requestContextHint = ''): Generator { $originalPrompt = trim($prompt); $prompt = $originalPrompt; $routingPrompt = $prompt; if ($prompt === '') { yield $this->systemMsg($this->agentRunnerConfig->getEmptyPromptMessage(), 'err'); return; } $shopResults = []; $primaryShopResults = []; $knowledgeChunks = []; $knowledgeEvidenceState = 'none'; $sources = []; $optimizedShopQuery = ''; $shopSearchQuery = ''; $commerceHistoryContext = ''; $shopQueryHistoryContext = ''; $attemptedShopRepair = false; $usedShopRepair = false; $shopRepairQueries = []; $shopSearchAttempted = false; $primaryShopSearchHadSystemFailure = false; $historyNotices = []; $commerceIntent = CommerceIntentLite::NONE; $shopSearchSkippedBecauseNoQuery = false; $this->agentLogger->info('Agent run started', [ 'userId' => $userId, ]); try { if ($forceFullContext) { // Full context mode is already passed to PromptBuilder. // Additional context strategies can be added here later. } yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: 'Antwort wird vorbereitet', ragCount: null, shopCount: null, shopCountMode: $this->resolveShopCountModeForMeta( commerceIntent: $commerceIntent, shopSearchAttempted: $shopSearchAttempted, shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, shopSearchSkippedBecauseNoQuery: $shopSearchSkippedBecauseNoQuery ), sourceLabels: $sources, confidenceLabel: 'Beleglage wird geprüft' ), 'meta' ); yield $this->systemMsg($this->agentRunnerConfig->getAnalyzeRequestMessage(), 'think'); $normalizedPrompt = yield from $this->normalizePromptForRouting($prompt, $userId); if ($normalizedPrompt !== $prompt) { $this->agentLogger->info('Prompt normalized before routing', [ 'userId' => $userId, 'originalPrompt' => $prompt, 'normalizedPrompt' => $normalizedPrompt, ]); $routingPrompt = $normalizedPrompt; } yield $this->systemMsg($this->agentRunnerConfig->getCheckInternetSourcesMessage(), 'think'); $urlContent = $this->urlAnalyzer->extractContentFromPrompt($originalPrompt); if ($urlContent !== '') { $this->addSource($sources, $this->agentRunnerConfig->getExternalUrlSourceLabel()); } $commerceIntent = $this->detectCommerceIntentForRouting( $routingPrompt, $userId, $requestContextHint ); $originalCommerceIntent = $this->detectCommerceIntentForRouting( $originalPrompt, $userId, $requestContextHint ); if (!$this->isCommerceIntent($commerceIntent) && $this->isCommerceIntent($originalCommerceIntent)) { $this->agentLogger->info('Promoted normalized routing back to explicit original commerce intent', [ 'userId' => $userId, 'originalPrompt' => $originalPrompt, 'routingPrompt' => $routingPrompt, 'originalCommerceIntent' => $originalCommerceIntent, ]); $commerceIntent = $originalCommerceIntent; } if ($this->isCommerceIntent($commerceIntent)) { yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: 'Shop-Routing erkannt', ragCount: null, shopCount: null, shopCountMode: $this->resolveShopCountModeForMeta( commerceIntent: $commerceIntent, shopSearchAttempted: $shopSearchAttempted, shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, shopSearchSkippedBecauseNoQuery: $shopSearchSkippedBecauseNoQuery ), sourceLabels: $sources, confidenceLabel: 'Shopdaten werden geprüft' ), 'meta' ); } yield $this->systemMsg($this->agentRunnerConfig->getRetrieveKnowledgeMessage(), 'think'); $knowledgeRetrievalPrompt = $this->buildKnowledgeRetrievalPrompt( prompt: $routingPrompt, userId: $userId, commerceIntent: $commerceIntent ); $usedFollowUpRetrievalContext = $knowledgeRetrievalPrompt !== $routingPrompt; $knowledgeChunks = $this->retriever->retrieve($knowledgeRetrievalPrompt); $knowledgeEvidenceState = $this->resolveKnowledgeEvidenceState($routingPrompt, $knowledgeChunks, $urlContent); if ($knowledgeChunks !== []) { $this->addSource($sources, $this->agentRunnerConfig->getRagKnowledgeSourceLabel()); } yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: 'RAG-Wissen wurde durchsucht', ragCount: count($knowledgeChunks), shopCount: null, shopCountMode: $this->resolveShopCountModeForMeta( commerceIntent: $commerceIntent, shopSearchAttempted: $shopSearchAttempted, shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, shopSearchSkippedBecauseNoQuery: $shopSearchSkippedBecauseNoQuery ), sourceLabels: $sources, confidenceLabel: $this->resolveRagEvidenceConfidenceLabel($knowledgeEvidenceState) ), 'meta' ); if ($usedFollowUpRetrievalContext) { $this->agentLogger->info('Knowledge retrieval used follow-up context', [ 'userId' => $userId, 'prompt' => $prompt, 'routingPrompt' => $routingPrompt, 'knowledgeRetrievalPrompt' => $knowledgeRetrievalPrompt, 'commerceIntent' => $commerceIntent, ]); } if ($this->isCommerceIntent($commerceIntent)) { yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: 'Shop-Suche wird vorbereitet', ragCount: count($knowledgeChunks), shopCount: null, shopCountMode: 'loading', sourceLabels: $sources, confidenceLabel: $this->resolveRagEvidenceShopCheckConfidenceLabel($knowledgeEvidenceState) ), 'meta' ); yield $this->systemMsg($this->agentRunnerConfig->getOptimizeSearchMessage(), 'think'); $commerceHistoryContext = $this->buildCommerceHistoryContext($userId, $requestContextHint); $shopQueryHistoryContext = $this->resolveShopQueryHistoryContext( prompt: $originalPrompt, commerceHistoryContext: $commerceHistoryContext ); if ($shopQueryHistoryContext !== '') { $this->addSource($sources, $this->agentRunnerConfig->getConversationHistorySourceLabel()); } if ($commerceHistoryContext !== '' && $shopQueryHistoryContext === '') { $this->agentLogger->info('Ignored commerce history for standalone shop query', [ 'userId' => $userId, 'prompt' => $prompt, 'routingPrompt' => $routingPrompt, 'originalPrompt' => $originalPrompt, 'commerceHistoryContextLength' => mb_strlen($commerceHistoryContext), ]); } if ($this->shouldUseDeterministicStandaloneShopQuery($originalPrompt, $shopQueryHistoryContext)) { $optimizedShopQuery = ''; $shopSearchQuery = $this->guardFinalStandaloneShopSearchQuery( prompt: $originalPrompt, shopSearchQuery: $routingPrompt ); if ($shopSearchQuery === '') { $shopSearchQuery = $originalPrompt; } $this->agentLogger->info('Using deterministic standalone shop query without LLM optimizer history', [ 'userId' => $userId, 'prompt' => $prompt, 'routingPrompt' => $routingPrompt, 'originalPrompt' => $originalPrompt, 'shopSearchQuery' => $shopSearchQuery, ]); } else { $optimizedShopQuery = yield from $this->buildOptimizedShopQuery( $routingPrompt, $userId, $shopQueryHistoryContext ); $shopSearchQuery = $this->resolveShopSearchQuery( prompt: $originalPrompt, optimizedShopQuery: $optimizedShopQuery, commerceHistoryContext: $shopQueryHistoryContext, userId: $userId, currentPromptFallback: $routingPrompt ); } $guardedShopSearchQuery = $this->guardFinalStandaloneShopSearchQuery( prompt: $originalPrompt, shopSearchQuery: $shopSearchQuery ); if ($guardedShopSearchQuery !== $shopSearchQuery) { $this->agentLogger->info('Replaced standalone shop search query after final guard', [ 'userId' => $userId, 'prompt' => $prompt, 'routingPrompt' => $routingPrompt, 'optimizedShopQuery' => $optimizedShopQuery, 'unsafeShopSearchQuery' => $shopSearchQuery, 'guardedShopSearchQuery' => $guardedShopSearchQuery, ]); $shopSearchQuery = $guardedShopSearchQuery; $optimizedShopQuery = ''; } if ($shopSearchQuery === '') { $this->agentLogger->info('Commerce search skipped because no concrete shop query could be resolved', [ 'userId' => $userId, 'commerceIntent' => $commerceIntent, 'prompt' => $prompt, 'routingPrompt' => $routingPrompt, 'optimizedShopQuery' => $optimizedShopQuery, 'hasCommerceHistoryContext' => $commerceHistoryContext !== '', 'commerceHistoryContextLength' => mb_strlen($commerceHistoryContext), 'hasRequestContextHint' => trim($requestContextHint) !== '', ]); $shopSearchSkippedBecauseNoQuery = true; $noConcreteShopQueryMessage = $this->agentRunnerConfig->getNoConcreteShopQueryMessage(); yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: 'Mehr Kontext nötig', ragCount: count($knowledgeChunks), shopCount: null, shopCountMode: $this->resolveShopCountModeForMeta( commerceIntent: $commerceIntent, shopSearchAttempted: $shopSearchAttempted, shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, shopSearchSkippedBecauseNoQuery: $shopSearchSkippedBecauseNoQuery ), sourceLabels: $sources, confidenceLabel: 'mehr Kontext nötig', completed: true ), 'meta' ); yield $this->systemMsg( $noConcreteShopQueryMessage, 'info' ); $this->contextService->appendHistory( $userId, $originalPrompt, $this->plainTextFromHtml($noConcreteShopQueryMessage) ); return; } else { $shopQueryPreview = $this->shopSearchService->buildSearchQueryPreview( $shopSearchQuery, $commerceIntent, $shopQueryHistoryContext ); $shopSearchDisplayQuery = $shopQueryPreview->searchText !== '' ? $shopQueryPreview->searchText : $shopSearchQuery; $shopSearchUsedOptimizedQuery = $optimizedShopQuery !== ''; yield $this->systemMsg( $this->buildShopSearchMetaMessage( query: $shopSearchDisplayQuery, commerceIntent: $commerceIntent, usedOptimizedQuery: $shopSearchUsedOptimizedQuery, originalQuery: $shopSearchQuery ), 'meta' ); $this->agentLogger->info('Commerce search prepared', [ 'userId' => $userId, 'commerceIntent' => $commerceIntent, 'usedOptimizedShopQuery' => $optimizedShopQuery !== '', 'optimizedShopQuery' => $optimizedShopQuery, 'shopSearchQuery' => $shopSearchQuery, 'hasCommerceHistoryContext' => $commerceHistoryContext !== '', 'commerceHistoryContextLength' => mb_strlen($commerceHistoryContext), ]); yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: 'Shop wird durchsucht', ragCount: count($knowledgeChunks), shopCount: null, shopCountMode: 'loading', sourceLabels: $sources, confidenceLabel: $this->resolveRagEvidenceShopCheckConfidenceLabel($knowledgeEvidenceState) ), 'meta' ); yield $this->systemMsg( sprintf($this->agentRunnerConfig->getFetchSearchDataMessageTemplate(), $commerceIntent), 'think' ); $shopSearchAttempted = true; $primaryShopResults = $this->searchShop( $shopSearchQuery, $commerceIntent, $userId, $shopQueryHistoryContext ); $primaryShopSearchHadSystemFailure = $this->shopSearchService->hadLastSearchSystemFailure(); $primaryShopSearchFailureReason = $this->shopSearchService->getLastSearchFailureReason(); if ($primaryShopSearchHadSystemFailure) { $this->agentLogger->warning('Shop repair skipped after Store API system failure', [ 'userId' => $userId, 'commerceIntent' => $commerceIntent, 'shopSearchQuery' => $shopSearchQuery, 'failureReason' => $primaryShopSearchFailureReason, ]); $shopUnavailableMessage = $this->buildShopUnavailableMessage($primaryShopSearchFailureReason); yield $this->systemMsg( $shopUnavailableMessage, 'err' ); yield $this->systemMsg( $this->buildShopSearchMetaMessage( query: $shopSearchDisplayQuery !== '' ? $shopSearchDisplayQuery : $shopSearchQuery, commerceIntent: $commerceIntent, usedOptimizedQuery: $shopSearchUsedOptimizedQuery, originalQuery: $shopSearchQuery, completed: true, unavailable: true ), 'meta' ); $historyNotices[] = $this->buildHistoryNotice( 'Shopdaten konnten nicht geladen werden', $primaryShopSearchFailureReason ); $repairPayload = [ 'results' => $primaryShopResults, 'attemptedRepair' => false, 'usedRepair' => false, 'repairQueries' => [], ]; } else { yield $this->systemMsg('Erweiterte Shopsuche wird geprüft…', 'think'); $repairPayload = $this->repairShopResults( prompt: $prompt, userId: $userId, commerceIntent: $commerceIntent, commerceHistoryContext: $shopQueryHistoryContext, primaryQuery: $shopSearchQuery, primaryShopResults: $primaryShopResults, knowledgeChunks: $knowledgeChunks ); } } $shopResults = $repairPayload['results']; $attemptedShopRepair = $repairPayload['attemptedRepair']; $usedShopRepair = $repairPayload['usedRepair']; $shopRepairQueries = $repairPayload['repairQueries']; if (!$primaryShopSearchHadSystemFailure) { yield $this->systemMsg( $this->buildShopSearchMetaMessage( query: $shopSearchDisplayQuery !== '' ? $shopSearchDisplayQuery : $shopSearchQuery, commerceIntent: $commerceIntent, usedOptimizedQuery: $shopSearchUsedOptimizedQuery, originalQuery: $shopSearchQuery, resultCount: count($shopResults), completed: true, attemptedRepair: $attemptedShopRepair, usedRepair: $usedShopRepair ), 'meta' ); } if ($shopResults !== []) { $this->addSource($sources, $this->agentRunnerConfig->getShopSystemSourceLabel()); } if ($attemptedShopRepair) { $this->addSource($sources, $this->agentRunnerConfig->getExtendedShopSearchSourceLabel()); } yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: $primaryShopSearchHadSystemFailure ? 'Shopdaten nicht verfügbar' : 'Shop-Suche abgeschlossen', ragCount: count($knowledgeChunks), shopCount: $primaryShopSearchHadSystemFailure ? null : count($shopResults), shopCountMode: $primaryShopSearchHadSystemFailure ? 'unavailable' : 'count', sourceLabels: $sources, confidenceLabel: $this->resolveProductionUiConfidenceLabel( hasKnowledge: $this->isDirectKnowledgeEvidence($knowledgeEvidenceState), isCommerceIntent: true, shopSearchAttempted: $shopSearchAttempted, hasShopResults: $shopResults !== [], shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, knowledgeEvidenceState: $knowledgeEvidenceState ) ), 'meta' ); } if ($shopResults !== []) { $knowledgeChunks = $this->limitKnowledgeChunks($knowledgeChunks, $commerceIntent); } yield $this->systemMsg($this->agentRunnerConfig->getAnalyzeAllInformationMessage(), 'think'); $finalPrompt = $this->promptBuilder->build( prompt: $prompt, userId: $userId, urlContent: $urlContent, knowledgeChunks: $knowledgeChunks, shopResults: $shopResults, fullContext: $forceFullContext, swagFullOutPut: $optimizedShopQuery, commerceSearchAttempted: $shopSearchAttempted, shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, knowledgeEvidenceState: $knowledgeEvidenceState ); if ($this->debug && $this->logPrompt) { $this->agentLogger->debug('Final prompt', [ 'userId' => $userId, 'finalPrompt' => $finalPrompt, 'optimizedShopQuery' => $optimizedShopQuery, 'shopSearchQuery' => $shopSearchQuery, 'knowledgeRetrievalPrompt' => $knowledgeRetrievalPrompt, 'usedFollowUpRetrievalContext' => $usedFollowUpRetrievalContext, 'primaryShopResultsCount' => count($primaryShopResults), 'shopResultsCount' => count($shopResults), 'attemptedShopRepair' => $attemptedShopRepair, 'usedShopRepair' => $usedShopRepair, 'shopRepairQueries' => $shopRepairQueries, 'shopSearchAttempted' => $shopSearchAttempted, ]); } if ($this->debug && $this->logContext) { $this->agentLogger->debug('Conversation context snapshot', [ 'userId' => $userId, 'context' => $this->contextService->buildUserContext( $userId, $forceFullContext ), ]); } yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: 'Antwort wird generiert', ragCount: count($knowledgeChunks), shopCount: $primaryShopSearchHadSystemFailure ? null : ($shopSearchAttempted ? count($shopResults) : null), shopCountMode: $this->resolveShopCountModeForMeta( commerceIntent: $commerceIntent, shopSearchAttempted: $shopSearchAttempted, shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, shopSearchSkippedBecauseNoQuery: $shopSearchSkippedBecauseNoQuery ), sourceLabels: $sources, confidenceLabel: $this->resolveProductionUiConfidenceLabel( hasKnowledge: $this->isDirectKnowledgeEvidence($knowledgeEvidenceState), isCommerceIntent: $this->isCommerceIntent($commerceIntent), shopSearchAttempted: $shopSearchAttempted, hasShopResults: $shopResults !== [], shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, knowledgeEvidenceState: $knowledgeEvidenceState ) ), 'meta' ); if ($sources !== []) { yield $this->emitSources( $sources, $this->agentRunnerConfig->getUsedSourcesPrefix() ); } $noLlmFallbackAnswer = $this->buildNoLlmFallbackAnswer( prompt: $prompt, urlContent: $urlContent, knowledgeChunks: $knowledgeChunks, shopResults: $shopResults, commerceIntent: $commerceIntent, shopSearchAttempted: $shopSearchAttempted, shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, shopSearchFailureReason: $primaryShopSearchFailureReason ?? null, knowledgeEvidenceState: $knowledgeEvidenceState ); $fullOutput = yield from $this->streamFinalAnswer($finalPrompt, $noLlmFallbackAnswer); yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: 'Abgeschlossen', ragCount: count($knowledgeChunks), shopCount: $primaryShopSearchHadSystemFailure ? null : ($shopSearchAttempted ? count($shopResults) : null), shopCountMode: $this->resolveShopCountModeForMeta( commerceIntent: $commerceIntent, shopSearchAttempted: $shopSearchAttempted, shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, shopSearchSkippedBecauseNoQuery: $shopSearchSkippedBecauseNoQuery ), sourceLabels: $sources, confidenceLabel: $this->resolveProductionUiConfidenceLabel( hasKnowledge: $this->isDirectKnowledgeEvidence($knowledgeEvidenceState), isCommerceIntent: $this->isCommerceIntent($commerceIntent), shopSearchAttempted: $shopSearchAttempted, hasShopResults: $shopResults !== [], shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, knowledgeEvidenceState: $knowledgeEvidenceState ), completed: true ), 'meta' ); if ($sources !== []) { yield $this->emitSources( $sources, $this->agentRunnerConfig->getSourcesPrefix() ); } if ($this->debug) { yield $this->systemMsg($finalPrompt, 'debug'); } $historyResponse = $this->buildHistoryResponse($fullOutput, $historyNotices); if ($historyResponse !== '') { $this->contextService->appendHistory( $userId, $originalPrompt, $historyResponse ); } $this->agentLogger->info('Agent run finished', [ 'userId' => $userId, 'outputLength' => mb_strlen($fullOutput), 'contextMode' => $forceFullContext ? 'full' : 'recent', 'commerceIntent' => $commerceIntent, 'originalPrompt' => $originalPrompt, 'effectivePrompt' => $prompt, 'routingPrompt' => $routingPrompt, 'promptWasNormalized' => $routingPrompt !== $originalPrompt, 'primaryShopResultsCount' => count($primaryShopResults), 'shopResultsCount' => count($shopResults), 'attemptedShopRepair' => $attemptedShopRepair, 'usedShopRepair' => $usedShopRepair, 'shopRepairQueries' => $shopRepairQueries, 'shopSearchAttempted' => $shopSearchAttempted, 'primaryShopSearchHadSystemFailure' => $primaryShopSearchHadSystemFailure, 'primaryShopSearchFailureReason' => $primaryShopSearchFailureReason ?? null, 'knowledgeChunkCount' => count($knowledgeChunks), 'knowledgeRetrievalPrompt' => $knowledgeRetrievalPrompt, 'usedFollowUpRetrievalContext' => $usedFollowUpRetrievalContext, 'hasUrlContent' => $urlContent !== '', 'usedOptimizedShopQuery' => $optimizedShopQuery !== '', 'optimizedShopQuery' => $optimizedShopQuery, 'shopSearchQuery' => $shopSearchQuery, 'hasCommerceHistoryContext' => $commerceHistoryContext !== '', 'commerceHistoryContextLength' => mb_strlen($commerceHistoryContext), ]); } catch (Throwable $e) { $this->agentLogger->error('Agent run failed', [ 'userId' => $userId, 'exception' => $e, ]); $userErrorMessage = $this->buildUserErrorMessage($e); yield $this->systemMsg( $this->buildProductionUiMetaMessage( stageLabel: 'Antwort wurde unterbrochen', ragCount: count($knowledgeChunks), shopCount: $primaryShopSearchHadSystemFailure ? null : ($shopSearchAttempted ? count($shopResults) : null), shopCountMode: $this->resolveShopCountModeForMeta( commerceIntent: $commerceIntent, shopSearchAttempted: $shopSearchAttempted, shopSearchHadSystemFailure: $primaryShopSearchHadSystemFailure, shopSearchSkippedBecauseNoQuery: $shopSearchSkippedBecauseNoQuery ), sourceLabels: $sources, confidenceLabel: 'nicht abgeschlossen', completed: true ), 'meta' ); yield $this->systemMsg($userErrorMessage, 'err'); $historyResponse = $this->buildHistoryResponse('', array_merge( $historyNotices, [$this->buildHistoryNotice('Antwort konnte nicht abgeschlossen werden', $e->getMessage())] )); if ($historyResponse !== '') { $this->contextService->appendHistory($userId, $originalPrompt, $historyResponse); } } } /** * @return Generator */ private function normalizePromptForRouting(string $prompt, string $userId): Generator { if (!$this->agentRunnerConfig->isInputNormalizationEnabled()) { return $prompt; } if ($this->shouldSkipInputNormalization($prompt)) { return $prompt; } $normalizationPrompt = trim($this->agentRunnerConfig->getInputNormalizationPrompt($prompt)); if ($normalizationPrompt === '') { return $prompt; } $candidate = ''; $lastHeartbeatAt = time(); $this->thinkSuppressor->reset(); try { foreach ($this->ollamaClient->stream($normalizationPrompt) as $token) { if (!is_string($token)) { continue; } if (time() - $lastHeartbeatAt >= 2) { yield $this->systemMsg($this->agentRunnerConfig->getInputNormalizationHeartbeatMessage(), 'think'); $lastHeartbeatAt = time(); } $cleanToken = $this->thinkSuppressor->filter($token); if ($cleanToken === '') { continue; } $candidate .= $cleanToken; } } catch (Throwable $e) { $this->agentLogger->warning('Prompt normalization failed, falling back to fuzzy routing-signal normalization', [ 'userId' => $userId, 'exception' => $e, ]); return $this->applyFuzzyRoutingSignalNormalization($prompt, $prompt); } $normalized = $this->sanitizeNormalizedPromptForRouting($candidate, $prompt); return $this->applyFuzzyRoutingSignalNormalization($normalized, $prompt); } private function shouldSkipInputNormalization(string $prompt): bool { if (mb_strlen($prompt, 'UTF-8') > $this->agentRunnerConfig->getInputNormalizationMaxInputChars()) { return true; } foreach ($this->agentRunnerConfig->getInputNormalizationSkipPatterns() as $pattern) { if (@preg_match($pattern, $prompt) === 1) { return true; } } return false; } private function sanitizeNormalizedPromptForRouting(string $candidate, string $originalPrompt): string { $candidate = trim($candidate); if ($candidate === '') { return $originalPrompt; } $candidate = preg_split('/\R{2,}/u', $candidate, 2)[0] ?? $candidate; $candidate = trim($candidate); $candidate = preg_replace($this->agentRunnerConfig->getInputNormalizationOutputPrefixPattern(), '', $candidate) ?? $candidate; $candidate = trim($candidate, $this->agentRunnerConfig->getOptimizedShopQueryTrimCharacters()); $candidate = preg_replace('/\s+/u', ' ', $candidate) ?? $candidate; $candidate = trim($candidate); if ($candidate === '') { return $originalPrompt; } if (mb_strlen($candidate, 'UTF-8') > $this->agentRunnerConfig->getInputNormalizationMaxOutputChars()) { return $originalPrompt; } if ($this->normalizeRoutingComparisonText($candidate) === $this->normalizeRoutingComparisonText($originalPrompt)) { return $originalPrompt; } if (!$this->isSafeNormalizedPromptCandidate($candidate, $originalPrompt)) { return $originalPrompt; } return $candidate; } private function applyFuzzyRoutingSignalNormalization(string $candidate, string $originalPrompt): string { if (!$this->agentRunnerConfig->isInputNormalizationFuzzyRoutingEnabled()) { return $candidate; } $terms = $this->buildFuzzyRoutingTermIndex(); if ($terms === []) { return $candidate; } $minLength = $this->agentRunnerConfig->getInputNormalizationFuzzyRoutingMinTokenLength(); $changed = false; $normalized = preg_replace_callback( '/(?resolveFuzzyRoutingTokenReplacement($token, $terms); if ($replacement === null || $replacement === $token) { return $token; } $changed = true; return $replacement; }, $candidate ); if (!is_string($normalized) || !$changed) { return $candidate; } $normalized = preg_replace('/\s+/u', ' ', trim($normalized)) ?? trim($normalized); if ($normalized === '' || $this->normalizeRoutingComparisonText($normalized) === $this->normalizeRoutingComparisonText($candidate)) { return $candidate; } if (!$this->isSafeNormalizedPromptCandidate($normalized, $originalPrompt)) { return $candidate; } return $normalized; } /** * @return array */ private function buildFuzzyRoutingTermIndex(): array { $terms = []; foreach ($this->agentRunnerConfig->getInputNormalizationFuzzyRoutingTerms() as $term) { $term = trim($term); if ($term === '') { continue; } $normalized = $this->normalizeFuzzyRoutingToken($term); if ($normalized === '') { continue; } $terms[$normalized] ??= mb_strtolower($term, 'UTF-8'); } return $terms; } /** * @param array $terms */ private function resolveFuzzyRoutingTokenReplacement(string $token, array $terms): ?string { $normalizedToken = $this->normalizeFuzzyRoutingToken($token); if ($normalizedToken === '' || isset($terms[$normalizedToken])) { return null; } $bestTerm = null; $bestDistance = PHP_INT_MAX; $ambiguous = false; $tokenLength = max(1, strlen($normalizedToken)); foreach ($terms as $normalizedTerm => $term) { $termLength = strlen($normalizedTerm); if (abs($tokenLength - $termLength) > $this->resolveFuzzyRoutingMaxDistance(max($tokenLength, $termLength))) { continue; } $distance = $this->calculateFuzzyRoutingDistance($normalizedToken, $normalizedTerm); $maxLength = max($tokenLength, $termLength); $maxDistance = $this->resolveFuzzyRoutingMaxDistance($maxLength); if ($distance > $maxDistance) { continue; } $similarityPercent = (int) round((1 - ($distance / max(1, $maxLength))) * 100); if ($similarityPercent < $this->agentRunnerConfig->getInputNormalizationFuzzyRoutingMinSimilarityPercent()) { continue; } if ($distance < $bestDistance) { $bestDistance = $distance; $bestTerm = $term; $ambiguous = false; continue; } if ($distance === $bestDistance && $term !== $bestTerm) { $ambiguous = true; } } if ($bestTerm === null || $ambiguous) { return null; } return $bestTerm; } private function calculateFuzzyRoutingDistance(string $left, string $right): int { $leftLength = strlen($left); $rightLength = strlen($right); if ($leftLength === 0) { return $rightLength; } if ($rightLength === 0) { return $leftLength; } $distance = []; for ($i = 0; $i <= $leftLength; $i++) { $distance[$i] = [$i]; } for ($j = 0; $j <= $rightLength; $j++) { $distance[0][$j] = $j; } for ($i = 1; $i <= $leftLength; $i++) { for ($j = 1; $j <= $rightLength; $j++) { $cost = $left[$i - 1] === $right[$j - 1] ? 0 : 1; $distance[$i][$j] = min( $distance[$i - 1][$j] + 1, $distance[$i][$j - 1] + 1, $distance[$i - 1][$j - 1] + $cost ); if ( $i > 1 && $j > 1 && $left[$i - 1] === $right[$j - 2] && $left[$i - 2] === $right[$j - 1] ) { $distance[$i][$j] = min($distance[$i][$j], $distance[$i - 2][$j - 2] + 1); } } } return $distance[$leftLength][$rightLength]; } private function resolveFuzzyRoutingMaxDistance(int $tokenLength): int { if ($tokenLength >= $this->agentRunnerConfig->getInputNormalizationFuzzyRoutingLongTokenLength()) { return $this->agentRunnerConfig->getInputNormalizationFuzzyRoutingMaxDistanceLong(); } if ($tokenLength >= $this->agentRunnerConfig->getInputNormalizationFuzzyRoutingMediumTokenLength()) { return $this->agentRunnerConfig->getInputNormalizationFuzzyRoutingMaxDistanceMedium(); } return $this->agentRunnerConfig->getInputNormalizationFuzzyRoutingMaxDistanceShort(); } private function normalizeFuzzyRoutingToken(string $token): string { $token = mb_strtolower(trim($token), 'UTF-8'); $token = strtr($token, [ 'ä' => 'ae', 'ö' => 'oe', 'ü' => 'ue', 'ß' => 'ss', ]); $token = preg_replace('/[^a-z0-9]+/u', '', $token) ?? $token; return trim($token); } private function isSafeNormalizedPromptCandidate(string $candidate, string $originalPrompt): bool { $originalLength = max(1, mb_strlen($originalPrompt, 'UTF-8')); $candidateLength = mb_strlen($candidate, 'UTF-8'); $maxLength = (int) ceil($originalLength * ($this->agentRunnerConfig->getInputNormalizationMaxLengthRatioPercent() / 100)); if ($candidateLength > $maxLength) { return false; } $originalTokens = $this->tokenizeInputNormalizationGuardText($originalPrompt); $candidateTokens = $this->tokenizeInputNormalizationGuardText($candidate); $maxAddedTokens = $this->agentRunnerConfig->getInputNormalizationMaxAddedTokens(); if (count($candidateTokens) > count($originalTokens) + $maxAddedTokens) { return false; } $originalNumbers = $this->extractInputNormalizationNumbers($originalPrompt); foreach ($this->extractInputNormalizationNumbers($candidate) as $number) { if (!in_array($number, $originalNumbers, true)) { return false; } } return true; } private function normalizeRoutingComparisonText(string $value): string { $value = mb_strtolower(trim($value), 'UTF-8'); $value = preg_replace('/\s+/u', ' ', $value) ?? $value; return trim($value); } /** * @return string[] */ private function tokenizeInputNormalizationGuardText(string $value): array { if (preg_match_all('/\d+(?:[,.]\d+)?|[\p{L}\p{N}]+/u', mb_strtolower($value, 'UTF-8'), $matches) !== 1) { return []; } return array_values(array_filter( array_map(static fn(string $token): string => trim($token), $matches[0] ?? []), static fn(string $token): bool => $token !== '' )); } /** * @return string[] */ private function extractInputNormalizationNumbers(string $value): array { if (preg_match_all('/\d+(?:[,.]\d+)?/u', $value, $matches) !== 1) { return []; } return array_values(array_unique(array_map( static fn(string $number): string => str_replace(',', '.', $number), $matches[0] ?? [] ))); } private function detectCommerceIntent(string $prompt): string { $commerceMeta = $this->commerceIntentLite->detect($prompt); return (string) ($commerceMeta['intent'] ?? CommerceIntentLite::NONE); } private function detectCommerceIntentForRouting( string $prompt, string $userId, string $requestContextHint ): string { $commerceIntent = $this->detectCommerceIntent($prompt); if ($this->isCommerceIntent($commerceIntent)) { return $commerceIntent; } if (!$this->isCommercialTableFollowUpPrompt($prompt)) { return $commerceIntent; } $this->agentLogger->info('Promoted commercial table follow-up to shop intent', [ 'userId' => $userId, 'prompt' => $prompt, 'hasRequestContextHint' => trim($requestContextHint) !== '', ]); return CommerceIntentLite::PRODUCT_SEARCH; } private function isCommerceIntent(string $commerceIntent): bool { return $commerceIntent === CommerceIntentLite::PRODUCT_SEARCH || $commerceIntent === CommerceIntentLite::ADVISORY_PRODUCT_SEARCH; } private function buildKnowledgeRetrievalPrompt( string $prompt, string $userId, string $commerceIntent ): string { if (!$this->shouldUseFollowUpContextForKnowledgeRetrieval($prompt, $commerceIntent)) { return $prompt; } $history = $this->contextService->buildUserContextWithinBudget($userId, 3000); $previousQuestions = $this->extractRecentUserQuestions($history, 2); $referenceAnchors = $this->extractLatestAssistantReferenceAnchors($history); if ($previousQuestions === [] && $referenceAnchors === []) { return $prompt; } $lines = []; foreach ($previousQuestions as $question) { $lines[] = 'Vorherige Nutzerfrage: ' . $question; } if ($referenceAnchors !== []) { $lines[] = 'Vorherige technische Referenzanker (nur zur Referenzauflösung, keine Faktenquelle): ' . implode(' ', $referenceAnchors); } $lines[] = 'Aktuelle Folgefrage: ' . $prompt; return implode("\n", $lines); } private function shouldUseFollowUpContextForKnowledgeRetrieval(string $prompt, string $commerceIntent): bool { if ($this->isCommerceIntent($commerceIntent)) { return false; } $normalized = $this->normalizeFollowUpText($prompt); if ($normalized === '') { return false; } if ($this->containsExplicitCommercialFollowUpSignal($normalized)) { return false; } if (mb_strlen($normalized, 'UTF-8') > 180 && !$this->containsStrongFollowUpReference($normalized)) { return false; } return $this->containsStrongFollowUpReference($normalized); } private function containsStrongFollowUpReference(string $normalized): bool { foreach ($this->agentRunnerConfig->getFollowUpStrongReferencePatterns() as $pattern) { if (preg_match($pattern, $normalized) === 1) { return true; } } return false; } private function containsExplicitCommercialFollowUpSignal(string $normalized): bool { foreach ($this->agentRunnerConfig->getFollowUpExplicitCommercialSignalTerms() as $signal) { if (str_contains($normalized, mb_strtolower($signal, 'UTF-8'))) { return true; } } return false; } /** * @return string[] */ private function extractRecentUserQuestions(string $history, int $limit): array { $history = trim($history); if ($history === '' || $limit <= 0) { return []; } if (preg_match_all($this->agentRunnerConfig->getFollowUpHistoryQuestionPattern(), $history, $matches) !== 1) { return []; } $questions = array_values(array_filter( array_map( fn(string $question): string => $this->sanitizeHistoryQuestion($question), $matches[1] ?? [] ), static fn(string $question): bool => $question !== '' )); if ($questions === []) { return []; } return array_slice($questions, -$limit); } /** * Extracts stable reference anchors from the latest assistant answer. * * These anchors are only used to resolve follow-up references such as * "der Wert" or "welcher Indikator". They are not factual evidence for * the final answer. To avoid propagating wrong earlier answers, only the * first explicit Testomat model reference and the first explicit °dH value * are kept. Indicator names, reagent codes, prices, URLs and product * numbers are intentionally ignored here. * * @return string[] */ private function extractLatestAssistantReferenceAnchors(string $history): array { $turn = $this->extractLatestHistoryTurn($history); if ($turn === '') { return []; } $answer = preg_replace($this->agentRunnerConfig->getFollowUpHistoryQuestionStripPattern(), '', $turn, 1) ?? ''; $answer = trim($answer); if ($answer === '') { return []; } $anchors = []; $model = $this->extractFirstTestomatModelAnchor($answer); if ($model !== '') { $anchors[] = $model; } $hardnessValue = $this->extractFirstHardnessValueAnchor($answer); if ($hardnessValue !== '') { $anchors[] = $hardnessValue; } return array_values(array_unique($anchors)); } private function extractLatestHistoryTurn(string $history): string { $history = trim($history); if ($history === '') { return ''; } $parts = preg_split($this->agentRunnerConfig->getFollowUpHistoryTurnSplitPattern(), $history); if ($parts === false || $parts === []) { return ''; } $turns = array_values(array_filter( array_map(static fn(string $part): string => trim($part), $parts), static fn(string $part): bool => $part !== '' )); if ($turns === []) { return ''; } return (string) end($turns); } /** * @return string[] */ private function extractHistoryTurnsNewestFirst(string $history): array { $history = trim($history); if ($history === '') { return []; } $parts = preg_split($this->agentRunnerConfig->getFollowUpHistoryTurnSplitPattern(), $history); if ($parts === false || $parts === []) { return []; } $turns = array_values(array_filter( array_map(static fn(string $part): string => trim($part), $parts), static fn(string $part): bool => $part !== '' )); return array_reverse($turns); } private function extractFirstTestomatModelAnchor(string $text): string { if (preg_match($this->agentRunnerConfig->getFollowUpReferenceAnchorTestomatModelPattern(), $text, $matches) !== 1) { return ''; } $value = $this->sanitizeHistoryQuestion(($matches[0] ?? '')); $value = preg_replace('/\s+/u', ' ', $value) ?? $value; return trim(str_replace('®', '', $value)); } private function extractFirstHardnessValueAnchor(string $text): string { if (preg_match($this->agentRunnerConfig->getFollowUpReferenceAnchorHardnessValuePattern(), $text, $matches) !== 1) { return ''; } $value = preg_replace('/\s+/u', ' ', ($matches[0] ?? '')) ?? ''; return trim($value); } private function sanitizeHistoryQuestion(string $question): string { $question = trim((string) preg_replace('/\s+/u', ' ', $question)); if ($question === '') { return ''; } if (mb_strlen($question, 'UTF-8') <= 500) { return $question; } return rtrim(mb_substr($question, 0, 497, 'UTF-8')) . '...'; } private function normalizeFollowUpText(string $value): string { $value = mb_strtolower(trim($value), 'UTF-8'); $value = str_replace(['-', '/', '_'], ' ', $value); $value = preg_replace('/[^\p{L}\p{N}\s]+/u', ' ', $value) ?? $value; $value = preg_replace('/\s+/u', ' ', $value) ?? $value; return trim($value); } /** * @return Generator */ private function buildOptimizedShopQuery( string $prompt, string $userId, string $commerceHistoryContext = '' ): Generator { $shopPrompt = trim($this->agentRunnerConfig->getShopPrompt( $prompt, $commerceHistoryContext )); if ($shopPrompt === '') { return ''; } $optimizedQuery = ''; $lastHeartbeatAt = time(); $this->thinkSuppressor->reset(); try { foreach ($this->ollamaClient->stream($shopPrompt) as $token) { if (!is_string($token)) { continue; } if (time() - $lastHeartbeatAt >= 2) { yield $this->systemMsg('Shop-Suchanfrage wird optimiert…', 'think'); $lastHeartbeatAt = time(); } $cleanToken = $this->thinkSuppressor->filter($token); if ($cleanToken === '') { continue; } $optimizedQuery .= $cleanToken; } } catch (Throwable $e) { $this->agentLogger->warning('Shop query optimization failed, falling back to original prompt', [ 'userId' => $userId, 'exception' => $e, ]); return ''; } return $this->sanitizeOptimizedShopQuery($optimizedQuery, $prompt, $commerceHistoryContext); } /** * @return array{ * results: array, * attemptedRepair: bool, * usedRepair: bool, * repairQueries: string[] * } */ private function repairShopResults( string $prompt, string $userId, string $commerceIntent, string $commerceHistoryContext, string $primaryQuery, array $primaryShopResults, array $knowledgeChunks ): array { try { return $this->searchRepairService->repair( prompt: $prompt, commerceIntent: $commerceIntent, commerceHistoryContext: $commerceHistoryContext, primaryQuery: $primaryQuery, primaryShopResults: $primaryShopResults, knowledgeChunks: $knowledgeChunks ); } catch (Throwable $e) { $this->agentLogger->warning('Shop repair failed, continuing with primary shop results', [ 'userId' => $userId, 'commerceIntent' => $commerceIntent, 'primaryQuery' => $primaryQuery, 'primaryShopResultsCount' => count($primaryShopResults), 'exception' => $e, ]); return [ 'results' => $primaryShopResults, 'attemptedRepair' => false, 'usedRepair' => false, 'repairQueries' => [], ]; } } private function resolveShopQueryHistoryContext(string $prompt, string $commerceHistoryContext): string { $commerceHistoryContext = trim($commerceHistoryContext); if ($commerceHistoryContext === '') { return ''; } if ($this->shouldUseCommerceHistoryForShopQuery($prompt)) { return $commerceHistoryContext; } return ''; } private function shouldUseCommerceHistoryForShopQuery(string $prompt): bool { $prompt = trim($prompt); if ($prompt === '') { return false; } if ($this->isCommercialTableFollowUpPrompt($prompt)) { return true; } if ($this->isMetaOnlyShopQuery($prompt)) { return true; } if ($this->extractFirstTestomatModelAnchor($prompt) !== '') { return false; } $normalizedPrompt = $this->normalizeFollowUpText($prompt); if ($this->containsConfiguredShopQueryAnchorTrigger($normalizedPrompt)) { return !$this->containsNumericShopQueryToken($normalizedPrompt); } return $this->containsReferentialShopQueryMarker($normalizedPrompt); } private function containsNumericShopQueryToken(string $text): bool { return preg_match('/\d/u', $text) === 1; } private function containsReferentialShopQueryMarker(string $text): bool { $tokens = $this->tokenizeShopQueryCandidate($text); if ($tokens === []) { return false; } $tokenSet = array_fill_keys($tokens, true); foreach ($this->agentRunnerConfig->getShopQueryContextUsageReferentialTerms() as $term) { foreach ($this->tokenizeShopQueryCandidate($term) as $termToken) { if (isset($tokenSet[$termToken])) { return true; } } } return false; } private function shouldUseDeterministicStandaloneShopQuery(string $prompt, string $shopQueryHistoryContext): bool { $prompt = trim($prompt); if ($prompt === '') { return false; } if (trim($shopQueryHistoryContext) !== '') { return false; } if ($this->isCommercialTableFollowUpPrompt($prompt)) { return false; } if ($this->isMetaOnlyShopQuery($prompt)) { return false; } return true; } private function guardStandaloneOptimizedShopQuery(string $prompt, string $optimizedShopQuery): string { if ($this->shouldUseCommerceHistoryForShopQuery($prompt)) { return $optimizedShopQuery; } if ($this->standaloneOptimizedShopQueryIntroducesUnsupportedContext($prompt, $optimizedShopQuery)) { $this->agentLogger->info('Ignored optimized shop query because it introduced unsupported standalone context', [ 'prompt' => $prompt, 'optimizedShopQuery' => $optimizedShopQuery, ]); return $prompt; } if ($this->extractFirstTestomatModelAnchor($prompt) === '') { return $optimizedShopQuery; } if (!$this->containsConfiguredShopQueryAnchorTrigger($optimizedShopQuery)) { return $optimizedShopQuery; } if ($this->containsConfiguredShopQueryAnchorTrigger($prompt)) { return $optimizedShopQuery; } $this->agentLogger->info('Ignored optimized shop query because it added an unsupported context anchor', [ 'prompt' => $prompt, 'optimizedShopQuery' => $optimizedShopQuery, ]); return $prompt; } private function guardFinalStandaloneShopSearchQuery(string $prompt, string $shopSearchQuery): string { $shopSearchQuery = trim($shopSearchQuery); if ($shopSearchQuery === '') { return ''; } $guardedQuery = $this->guardStandaloneOptimizedShopQuery($prompt, $shopSearchQuery); if ($guardedQuery !== $shopSearchQuery) { return $guardedQuery; } return $shopSearchQuery; } private function standaloneOptimizedShopQueryIntroducesUnsupportedContext( string $prompt, string $optimizedShopQuery ): bool { $promptTokens = array_fill_keys($this->tokenizeShopQueryCandidate($prompt), true); $optimizedTokens = $this->tokenizeShopQueryCandidate($optimizedShopQuery); if ($optimizedTokens === [] || $promptTokens === []) { return false; } $overlap = 0; foreach ($optimizedTokens as $token) { if (isset($promptTokens[$token])) { $overlap++; continue; } // A standalone query optimizer may remove words, but it must not add // model numbers or article-like numbers that are absent from the // current user input. Otherwise old context can leak into new shop // searches, for example "Anschlusskabel pH/Redox" -> "testomat 808". if (preg_match('/\d/u', $token) === 1) { return true; } } // If the optimized query has no token overlap with the current standalone // input, it is not a safe optimization but a context substitution. return $overlap === 0 && !$this->isMetaOnlyShopQuery($prompt); } private function resolveShopSearchQuery( string $prompt, string $optimizedShopQuery, string $commerceHistoryContext, string $userId, string $currentPromptFallback = '' ): string { if ($this->isCommercialTableFollowUpPrompt($prompt)) { foreach ($this->buildCommercialTableFollowUpContextCandidates($commerceHistoryContext, $userId) as $contextCandidate) { $commercialTableContextQuery = $this->extractCommercialTableFollowUpShopQuery($contextCandidate); if ($commercialTableContextQuery !== '' && !$this->isMetaOnlyShopQuery($commercialTableContextQuery)) { return $commercialTableContextQuery; } } } if ($optimizedShopQuery !== '' && !$this->isMetaOnlyShopQuery($optimizedShopQuery)) { return $this->guardStandaloneOptimizedShopQuery($prompt, $optimizedShopQuery); } $currentPromptFallback = trim($currentPromptFallback); if ($currentPromptFallback !== '' && !$this->isMetaOnlyShopQuery($currentPromptFallback)) { return $currentPromptFallback; } if (!$this->isMetaOnlyShopQuery($prompt)) { return $prompt; } $contextQuery = $this->extractContextualShopSearchQuery($commerceHistoryContext); if ($contextQuery !== '' && !$this->isMetaOnlyShopQuery($contextQuery)) { return $contextQuery; } $extendedHistoryBudget = $this->agentRunnerConfig->getShopQueryContextFallbackHistoryBudgetChars(); if ($extendedHistoryBudget > mb_strlen($commerceHistoryContext, 'UTF-8')) { $extendedHistory = $this->contextService->buildUserContextWithinBudget($userId, $extendedHistoryBudget); $extendedContextQuery = $this->extractContextualShopSearchQuery($extendedHistory); if ($extendedContextQuery !== '' && !$this->isMetaOnlyShopQuery($extendedContextQuery)) { return $extendedContextQuery; } } if ($this->agentRunnerConfig->shouldUseFullHistoryForShopQueryContextFallback()) { $fullHistory = $this->contextService->buildUserContext($userId, true); $fullHistoryContextQuery = $this->extractContextualShopSearchQuery($fullHistory); if ($fullHistoryContextQuery !== '' && !$this->isMetaOnlyShopQuery($fullHistoryContextQuery)) { return $fullHistoryContextQuery; } } return ''; } /** * @return string[] */ private function buildCommercialTableFollowUpContextCandidates(string $commerceHistoryContext, string $userId): array { $candidates = []; $commerceHistoryContext = trim($commerceHistoryContext); if ($commerceHistoryContext !== '') { $candidates[] = $commerceHistoryContext; } $extendedHistoryBudget = $this->agentRunnerConfig->getShopQueryContextFallbackHistoryBudgetChars(); if ($extendedHistoryBudget > mb_strlen($commerceHistoryContext, 'UTF-8')) { $extendedHistory = trim($this->contextService->buildUserContextWithinBudget($userId, $extendedHistoryBudget)); if ($extendedHistory !== '') { $candidates[] = $extendedHistory; } } if ($this->agentRunnerConfig->shouldUseFullHistoryForShopQueryContextFallback()) { $fullHistory = trim($this->contextService->buildUserContext($userId, true)); if ($fullHistory !== '') { $candidates[] = $fullHistory; } } return array_values(array_unique($candidates)); } private function extractCommercialTableFollowUpShopQuery(string $commerceHistoryContext): string { if (!$this->agentRunnerConfig->isCommercialTableFollowUpEnabled()) { return ''; } $fallbackWithoutModel = ''; foreach ($this->extractHistoryTurnsNewestFirst($commerceHistoryContext) as $turn) { if (!$this->matchesAnyConfiguredPattern( $turn, $this->agentRunnerConfig->getCommercialTableFollowUpIndicatorMarkerPatterns() )) { continue; } $model = $this->extractFirstTestomatModelAnchor($turn); if ($model !== '') { $query = str_replace( '{model}', $model, $this->agentRunnerConfig->getCommercialTableFollowUpQueryTemplateWithModel() ); return trim((string) preg_replace('/\s+/u', ' ', $query)); } $fallbackWithoutModel = trim($this->agentRunnerConfig->getCommercialTableFollowUpQueryTemplateWithoutModel()); } return $fallbackWithoutModel; } private function isCommercialTableFollowUpPrompt(string $prompt): bool { if (!$this->agentRunnerConfig->isCommercialTableFollowUpEnabled()) { return false; } return $this->matchesAnyConfiguredPattern( $this->normalizeFollowUpText($prompt), $this->agentRunnerConfig->getCommercialTableFollowUpPromptPatterns() ); } /** * @param string[] $patterns */ private function matchesAnyConfiguredPattern(string $text, array $patterns): bool { foreach ($patterns as $pattern) { if (preg_match($pattern, $text) === 1) { return true; } } return false; } private function extractContextualShopSearchQuery(string $commerceHistoryContext): string { if (!$this->agentRunnerConfig->isShopQueryContextFallbackEnabled()) { return ''; } $questions = $this->extractRecentUserQuestions( $commerceHistoryContext, $this->agentRunnerConfig->getShopQueryContextFallbackQuestionLimit() ); for ($i = count($questions) - 1; $i >= 0; $i--) { $question = trim($questions[$i]); if ($question === '' || $this->isMetaOnlyShopQuery($question)) { continue; } $contextQuery = $this->buildContextFallbackShopQuery($question); if ($contextQuery !== '' && !$this->isMetaOnlyShopQuery($contextQuery)) { return $contextQuery; } } return ''; } private function buildContextFallbackShopQuery(string $question): string { $tokens = $this->tokenizeShopQueryCandidate($question); if ($tokens === []) { return ''; } $filterTerms = []; foreach (array_merge( $this->agentRunnerConfig->getShopQueryMetaOnlyTerms(), $this->agentRunnerConfig->getShopQueryContextFallbackFilterTerms() ) as $term) { foreach ($this->tokenizeShopQueryCandidate($term) as $token) { $filterTerms[$token] = true; } } $maxTerms = max(1, $this->agentRunnerConfig->getShopQueryContextFallbackMaxTerms()); $out = []; foreach ($tokens as $token) { if (isset($filterTerms[$token])) { continue; } if (in_array($token, $out, true)) { continue; } $out[] = $token; if (count($out) >= $maxTerms) { break; } } return implode(' ', $out); } /** * @return string[] */ private function tokenizeShopQueryCandidate(string $value): array { $value = mb_strtolower(trim($value), 'UTF-8'); $value = str_replace(['-', '/', '_'], ' ', $value); if (preg_match_all('/\d+(?:[,.]\d+)?|[\p{L}\p{N}]+/u', $value, $matches) !== 1) { return []; } return array_values(array_filter( array_map(static fn(string $token): string => trim($token), $matches[0] ?? []), static fn(string $token): bool => $token !== '' )); } private function isMetaOnlyShopQuery(string $query): bool { if (!$this->agentRunnerConfig->isShopQueryMetaGuardEnabled()) { return false; } $tokens = $this->tokenizeMetaGuardText($query); if ($tokens === []) { return true; } $metaTerms = []; foreach ($this->agentRunnerConfig->getShopQueryMetaOnlyTerms() as $term) { foreach ($this->tokenizeMetaGuardText($term) as $token) { $metaTerms[$token] = true; } } if ($metaTerms === []) { return false; } foreach ($tokens as $token) { if (!isset($metaTerms[$token])) { return false; } } return true; } /** * @return string[] */ private function tokenizeMetaGuardText(string $value): array { $value = mb_strtolower(trim($value), 'UTF-8'); $value = str_replace(['-', '/', '_'], ' ', $value); $value = preg_replace('/[^\p{L}\p{N}]+/u', ' ', $value) ?? $value; $value = preg_replace('/\s+/u', ' ', $value) ?? $value; $value = trim($value); if ($value === '') { return []; } return array_values(array_filter( explode(' ', $value), static fn(string $token): bool => $token !== '' )); } private function searchShop( string $query, string $commerceIntent, string $userId, string $commerceHistoryContext = '' ): array { try { return $this->shopSearchService->search( $query, $commerceIntent, $commerceHistoryContext ); } catch (Throwable $e) { $this->agentLogger->warning('Shop search failed, continuing without shop results', [ 'userId' => $userId, 'commerceIntent' => $commerceIntent, 'query' => $query, 'hasCommerceHistoryContext' => $commerceHistoryContext !== '', 'commerceHistoryContextLength' => mb_strlen($commerceHistoryContext), 'exception' => $e, ]); return []; } } private function buildCommerceHistoryContext(string $userId, string $requestContextHint = ''): string { $history = $this->contextService->buildUserContextWithinBudget( $userId, $this->agentRunnerConfig->getCommerceHistoryBudgetChars() ); $requestContextHint = $this->sanitizeRequestContextHintForCommerce($requestContextHint); if ($requestContextHint === '') { return $history; } if ($history === '') { return $requestContextHint; } return trim($history) . "\n\n" . $requestContextHint; } private function sanitizeRequestContextHintForCommerce(string $requestContextHint): string { $requestContextHint = str_replace(["\r\n", "\r"], "\n", $requestContextHint); $requestContextHint = preg_replace('/[\t ]+/u', ' ', $requestContextHint) ?? $requestContextHint; $requestContextHint = preg_replace('/\n{3,}/u', "\n\n", $requestContextHint) ?? $requestContextHint; $requestContextHint = trim($requestContextHint); if ($requestContextHint === '') { return ''; } if (mb_strlen($requestContextHint, 'UTF-8') > 4000) { $requestContextHint = mb_substr($requestContextHint, 0, 4000, 'UTF-8'); } return trim($requestContextHint); } private function limitKnowledgeChunks(array $knowledgeChunks, string $commerceIntent): array { return match ($commerceIntent) { CommerceIntentLite::PRODUCT_SEARCH => array_slice( $knowledgeChunks, 0, $this->agentRunnerConfig->getProductSearchKnowledgeChunkLimit() ), CommerceIntentLite::ADVISORY_PRODUCT_SEARCH => array_slice( $knowledgeChunks, 0, $this->agentRunnerConfig->getAdvisoryProductSearchKnowledgeChunkLimit() ), default => $knowledgeChunks, }; } private function sanitizeOptimizedShopQuery( string $query, string $sourcePrompt = '', string $commerceHistoryContext = '' ): string { $query = trim($query); if ($query === '') { return ''; } $query = preg_split('/\R+/u', $query, 2)[0] ?? $query; $query = preg_replace($this->agentRunnerConfig->getOptimizedShopQueryPrefixPattern(), '', $query) ?? $query; $query = trim($query, $this->agentRunnerConfig->getOptimizedShopQueryTrimCharacters()); $query = preg_replace('/\s+/u', ' ', $query) ?? $query; $query = $this->preserveOptimizedShopQueryLanguage($query, $sourcePrompt); $query = $this->enrichReferentialShopQueryFromHistory($query, $sourcePrompt, $commerceHistoryContext); $query = preg_replace('/\s+/u', ' ', $query) ?? $query; return trim($query); } private function enrichReferentialShopQueryFromHistory( string $query, string $sourcePrompt, string $commerceHistoryContext ): string { if (!$this->agentRunnerConfig->isShopQueryContextAnchorEnrichmentEnabled()) { return $query; } if (trim($commerceHistoryContext) === '') { return $query; } $queryTokens = $this->tokenizeShopQueryCandidate($query); if ($queryTokens === []) { return $query; } $maxTerms = max(1, $this->agentRunnerConfig->getShopQueryContextAnchorEnrichmentMaxQueryTerms()); if (count($queryTokens) > $maxTerms) { return $query; } if (!$this->containsConfiguredShopQueryAnchorTrigger(trim($query . ' ' . $sourcePrompt))) { return $query; } $anchor = $this->normalizeShopQueryAnchor( $this->extractLatestConfiguredShopQueryContextAnchor($commerceHistoryContext) ); if ($anchor === '' || $this->queryAlreadyContainsAllAnchorTokens($query, $anchor)) { return $query; } $template = $this->agentRunnerConfig->getShopQueryContextAnchorEnrichmentTemplate(); $enriched = str_replace(['{anchor}', '{query}'], [$anchor, $query], $template); $enriched = preg_replace('/\s+/u', ' ', $enriched) ?? $enriched; return trim($enriched) !== '' ? trim($enriched) : $query; } private function containsConfiguredShopQueryAnchorTrigger(string $text): bool { $tokens = $this->tokenizeShopQueryCandidate($text); if ($tokens === []) { return false; } $tokenSet = array_fill_keys($tokens, true); foreach ($this->agentRunnerConfig->getShopQueryContextAnchorEnrichmentTriggerTerms() as $term) { foreach ($this->tokenizeShopQueryCandidate($term) as $termToken) { if (isset($tokenSet[$termToken])) { return true; } } } return false; } private function extractLatestConfiguredShopQueryContextAnchor(string $commerceHistoryContext): string { $latest = ''; foreach ($this->agentRunnerConfig->getShopQueryContextAnchorEnrichmentPatterns() as $pattern) { if (@preg_match_all($pattern, $commerceHistoryContext, $matches, PREG_SET_ORDER) === false) { continue; } foreach ($matches as $match) { $candidate = trim((string) ($match[0] ?? '')); if ($candidate !== '') { $latest = $candidate; } } } return $latest; } private function normalizeShopQueryAnchor(string $anchor): string { $anchor = str_replace('®', '', $anchor); $anchor = mb_strtolower(trim($anchor), 'UTF-8'); $anchor = preg_replace('/[^\p{L}\p{N},.%°+\-\s]+/u', ' ', $anchor) ?? $anchor; $anchor = preg_replace('/\s+/u', ' ', $anchor) ?? $anchor; return trim($anchor); } private function queryAlreadyContainsAllAnchorTokens(string $query, string $anchor): bool { $queryTokens = array_fill_keys($this->tokenizeShopQueryCandidate($query), true); foreach ($this->tokenizeShopQueryCandidate($anchor) as $token) { if (!isset($queryTokens[$token])) { return false; } } return true; } private function preserveOptimizedShopQueryLanguage(string $query, string $sourcePrompt): string { if (!$this->agentRunnerConfig->isShopQueryLanguagePreservationEnabled()) { return $query; } $language = $this->detectConfiguredShopQueryLanguage($sourcePrompt); if ($language === null) { return $query; } $replacements = $this->agentRunnerConfig->getShopQueryTranslationReplacements($language); if ($replacements === []) { return $query; } foreach ($replacements as $source => $target) { $pattern = '/(?agentRunnerConfig->getShopQueryLanguageMarkers() as $language => $markers) { foreach ($markers as $marker) { if ($marker !== '' && str_contains($normalized, $marker)) { return $language; } } } return null; } /** * @return Generator */ private function streamFinalAnswer(string $finalPrompt, string $noLlmFallbackAnswer = ''): Generator { $fullOutput = ''; $thinkingNoticeShown = false; $chunker = new StreamChunker(); $this->thinkSuppressor->reset(); yield $this->systemMsg($this->agentRunnerConfig->getThinkingWhileStreamingMessage(), 'think'); $thinkingNoticeShown = true; try { foreach ($this->ollamaClient->stream($finalPrompt) as $token) { if (!is_string($token)) { continue; } $cleanToken = $this->thinkSuppressor->filter($token); if ($cleanToken === '') { if (!$thinkingNoticeShown) { yield $this->systemMsg($this->agentRunnerConfig->getThinkingWhileStreamingMessage(), 'think'); $thinkingNoticeShown = true; } continue; } $fullOutput .= $cleanToken; $chunk = $chunker->push($cleanToken); if ($chunk !== null) { yield $this->systemMsg($chunk, 'answer'); } } } catch (Throwable $e) { $noLlmFallbackAnswer = trim($noLlmFallbackAnswer); if ($noLlmFallbackAnswer === '' || $fullOutput !== '') { throw $e; } $this->agentLogger->warning('LLM stream failed before answer tokens, using deterministic no-LLM fallback answer', [ 'exception' => $e, ]); $fullOutput = $noLlmFallbackAnswer; yield $this->systemMsg($noLlmFallbackAnswer, 'answer'); return $fullOutput; } $finalChunk = $chunker->flush(); if ($finalChunk !== null) { yield $this->systemMsg($finalChunk, 'answer'); } elseif ($fullOutput === '') { $noLlmFallbackAnswer = trim($noLlmFallbackAnswer); if ($noLlmFallbackAnswer !== '') { $fullOutput = $noLlmFallbackAnswer; yield $this->systemMsg($noLlmFallbackAnswer, 'answer'); } else { yield $this->systemMsg($this->agentRunnerConfig->getNoLlmDataReceivedMessage(), 'err'); } } return $fullOutput; } /** * Build a deterministic safety answer for environments where the LLM returns no tokens. * * This intentionally does not infer technical suitability from weak evidence. It only reports * reliable system state, shop hit metadata and the next safe action. * * @param string[] $knowledgeChunks * @param ShopProductResult[] $shopResults */ private function buildNoLlmFallbackAnswer( string $prompt, string $urlContent, array $knowledgeChunks, array $shopResults, string $commerceIntent, bool $shopSearchAttempted, bool $shopSearchHadSystemFailure, ?string $shopSearchFailureReason, string $knowledgeEvidenceState = 'unknown' ): string { $hasKnowledge = $this->isDirectKnowledgeEvidence($knowledgeEvidenceState) || ($knowledgeEvidenceState === 'unknown' && ($knowledgeChunks !== [] || trim($urlContent) !== '')); $hasShopResults = $shopResults !== []; $isCommerceIntent = $this->isCommerceIntent($commerceIntent); if ($hasShopResults) { return $this->buildNoLlmShopFallbackAnswer( prompt: $prompt, hasKnowledge: $hasKnowledge, shopResults: $shopResults ); } if ($shopSearchHadSystemFailure) { return $this->buildNoLlmShopUnavailableAnswer( hasKnowledge: $hasKnowledge, reason: $shopSearchFailureReason ); } if ($isCommerceIntent && $shopSearchAttempted) { return $this->buildNoLlmNoShopResultsAnswer($hasKnowledge); } if ($hasKnowledge) { return $this->agentRunnerConfig->getNoLlmFallbackKnowledgeOnlyMessage(); } return $this->agentRunnerConfig->getNoLlmFallbackNoDataMessage(); } /** * @param ShopProductResult[] $shopResults */ private function buildNoLlmShopFallbackAnswer(string $prompt, bool $hasKnowledge, array $shopResults): string { $intro = $hasKnowledge ? $this->agentRunnerConfig->getNoLlmFallbackShopWithKnowledgeMessage() : $this->agentRunnerConfig->getNoLlmFallbackShopOnlyMessage(); $requestedProductRole = $this->resolveNoLlmRequestedProductRole($prompt); $lines = [$intro]; if ($this->hasOnlyNoLlmAccessoryResultsForMainDeviceRequest($requestedProductRole, $shopResults)) { $lines[] = $this->agentRunnerConfig->getNoLlmFallbackAccessoryOnlyForMainDeviceMessage(); } $lines[] = ''; foreach ($this->buildNoLlmShopProductLines($shopResults, $requestedProductRole) as $line) { $lines[] = $line; } $escalation = trim($this->agentRunnerConfig->getNoLlmFallbackEscalationMessage()); if ($escalation !== '') { $lines[] = ''; $lines[] = $escalation; } return trim(implode("\n", $lines)); } private function buildNoLlmShopUnavailableAnswer(bool $hasKnowledge, ?string $reason): string { $reason = $this->normalizeOneLine((string) $reason); $message = $hasKnowledge ? $this->agentRunnerConfig->getNoLlmFallbackShopUnavailableWithKnowledgeMessage() : $this->agentRunnerConfig->getNoLlmFallbackShopUnavailableNoKnowledgeMessage(); if ($reason !== '') { $message .= ' Ursache: ' . $reason; } return trim($message); } private function buildNoLlmNoShopResultsAnswer(bool $hasKnowledge): string { return $hasKnowledge ? $this->agentRunnerConfig->getNoLlmFallbackNoShopResultsWithKnowledgeMessage() : $this->agentRunnerConfig->getNoLlmFallbackNoShopResultsNoKnowledgeMessage(); } /** * @param ShopProductResult[] $shopResults * @return string[] */ private function buildNoLlmShopProductLines(array $shopResults, string $requestedProductRole): array { $maxResults = max(1, $this->agentRunnerConfig->getNoLlmFallbackMaxShopResults()); $lines = []; $index = 1; foreach ($shopResults as $product) { if (!$product instanceof ShopProductResult) { continue; } $lines[] = $this->formatNoLlmShopProductLine($product, $index, $requestedProductRole); $index++; if (count($lines) >= $maxResults) { break; } } if ($lines === []) { return ['- Es wurden Shop-Treffer übergeben, aber keine lesbaren Produktdaten gefunden.']; } return $lines; } private function formatNoLlmShopProductLine(ShopProductResult $product, int $index, string $requestedProductRole): string { $parts = []; $productRole = $this->resolveNoLlmShopProductRole($product); $name = $this->normalizeOneLine($product->name); $parts[] = $name !== '' ? $name : 'Unbenanntes Shop-Produkt'; if ($product->productNumber !== null && trim($product->productNumber) !== '') { $parts[] = 'Art.-Nr. ' . $this->normalizeOneLine($product->productNumber); } if ($product->manufacturer !== null && trim($product->manufacturer) !== '') { $parts[] = 'Hersteller: ' . $this->normalizeOneLine($product->manufacturer); } if ($product->price !== null && trim($product->price) !== '') { $parts[] = 'Preis: ' . $this->normalizeOneLine($product->price); } if ($product->available !== null) { $parts[] = 'Verfügbar: ' . ($product->available ? 'ja' : 'nein'); } if ($product->url !== null && trim($product->url) !== '') { $parts[] = 'URL: ' . $this->normalizeOneLine($product->url); } if ($requestedProductRole === 'main_device_or_system' && $productRole === 'accessory_or_consumable') { $parts[] = 'Hinweis: Zubehör/Verbrauchsartikel; nicht als Messanlage/Gerät bestätigt'; } return sprintf('%d. %s', $index, implode(' | ', $parts)); } /** * @param ShopProductResult[] $shopResults */ private function hasOnlyNoLlmAccessoryResultsForMainDeviceRequest(string $requestedProductRole, array $shopResults): bool { if ($requestedProductRole !== 'main_device_or_system') { return false; } $seenProducts = 0; foreach ($shopResults as $product) { if (!$product instanceof ShopProductResult) { continue; } $seenProducts++; if ($this->resolveNoLlmShopProductRole($product) !== 'accessory_or_consumable') { return false; } } return $seenProducts > 0; } private function resolveNoLlmRequestedProductRole(string $prompt): string { $normalized = mb_strtolower($prompt, 'UTF-8'); if ($this->containsAnyConfiguredTerm($normalized, $this->agentRunnerConfig->getNoLlmAccessoryProductRoleKeywords())) { return 'accessory_or_consumable'; } if ($this->containsAnyConfiguredTerm($normalized, $this->agentRunnerConfig->getNoLlmMainDeviceRequestRoleKeywords())) { return 'main_device_or_system'; } return 'unknown'; } private function resolveNoLlmShopProductRole(ShopProductResult $product): string { $normalized = mb_strtolower($this->normalizeOneLine(implode(' ', [ $product->name, (string) $product->description, (string) $product->customFields, implode(' ', $product->highlights), ])), 'UTF-8'); if ($this->containsAnyConfiguredTerm($normalized, $this->agentRunnerConfig->getNoLlmAccessoryProductRoleKeywords())) { return 'accessory_or_consumable'; } return 'unknown'; } /** * @param string[] $terms */ private function containsAnyConfiguredTerm(string $haystack, array $terms): bool { foreach ($terms as $term) { $term = mb_strtolower(trim($term), 'UTF-8'); if ($term !== '' && str_contains($haystack, $term)) { return true; } } return false; } /** * Distinguish semantic nearest-neighbor retrieval hits from direct factual evidence. * * Vector retrieval can return useful context even when the essential user term is not * present. Those hits should stay visible as RAG hits, but they must not be counted as * "fachlich belegt" unless at least one salient request term or configured synonym * appears in the retrieved knowledge or user-provided URL content. * * @param string[] $knowledgeChunks */ private function resolveKnowledgeEvidenceState(string $prompt, array $knowledgeChunks, string $urlContent): string { if ($knowledgeChunks === [] && trim($urlContent) === '') { return 'none'; } if (trim($urlContent) !== '') { return 'direct'; } $needles = $this->buildRagEvidenceNeedles($prompt); if ($needles === []) { // No meaningful term could be extracted. Preserve the previous behavior for // very short follow-ups instead of hiding potentially valid context. return 'direct'; } $haystack = $this->normalizeRagEvidenceText(implode("\n\n", array_map('strval', $knowledgeChunks))); $isAggregateQuery = $this->isAggregateRagEvidenceQuery($prompt); if ( $isAggregateQuery && !$this->containsAnyRagEvidencePattern($haystack, $this->agentRunnerConfig->getRagEvidenceAggregateAnswerEvidencePatterns()) ) { return 'aggregate_missing'; } if ( $isAggregateQuery && !$this->containsAnyRagEvidenceTerm($haystack, $this->agentRunnerConfig->getRagEvidenceAggregateEvidenceTerms()) ) { return 'aggregate_missing'; } foreach ($needles as $needleGroup) { foreach ($needleGroup as $needle) { if ($this->containsRagEvidenceTerm($haystack, $needle)) { return 'direct'; } } } return 'weak'; } private function isDirectKnowledgeEvidence(string $knowledgeEvidenceState): bool { return $knowledgeEvidenceState === 'direct'; } private function resolveRagEvidenceConfidenceLabel(string $knowledgeEvidenceState): string { return match ($knowledgeEvidenceState) { 'direct' => 'fachlich belegt', 'aggregate_missing' => 'geprüfte Quellen, keine passende Zählinformation', 'weak' => 'RAG-Näherungstreffer, kein direkter Fachbeleg', default => 'noch keine belastbaren Treffer', }; } private function resolveRagEvidenceShopCheckConfidenceLabel(string $knowledgeEvidenceState): string { return match ($knowledgeEvidenceState) { 'direct' => 'fachlich belegt; Shopdaten werden geprüft', 'aggregate_missing' => 'geprüfte Quellen ohne Zählinformation; Shopdaten werden geprüft', 'weak' => 'RAG-Näherungstreffer; Shopdaten werden geprüft', default => 'Shopdaten werden geprüft', }; } private function isAggregateRagEvidenceQuery(string $prompt): bool { $normalizedPrompt = $this->normalizeRagEvidenceText($prompt); if ($normalizedPrompt === '') { return false; } foreach ($this->agentRunnerConfig->getRagEvidenceAggregateQueryPatterns() as $pattern) { if (@preg_match($pattern, $normalizedPrompt) === 1) { return true; } } return false; } /** * @param string[] $terms */ private function containsAnyRagEvidenceTerm(string $haystack, array $terms): bool { foreach ($terms as $term) { if ($this->containsRagEvidenceTerm($haystack, $term)) { return true; } } return false; } /** * @param string[] $patterns */ private function containsAnyRagEvidencePattern(string $haystack, array $patterns): bool { foreach ($patterns as $pattern) { if (@preg_match($pattern, $haystack) === 1) { return true; } } return false; } /** * @return array */ private function buildRagEvidenceNeedles(string $prompt): array { $normalizedPrompt = $this->normalizeRagEvidenceText($prompt); $stopTerms = []; foreach ($this->agentRunnerConfig->getRagEvidenceStopTerms() as $term) { $term = $this->normalizeRagEvidenceText($term); if ($term !== '') { $stopTerms[$term] = true; } } preg_match_all('/[\p{L}\p{N}][\p{L}\p{N}\-]{1,}/u', $normalizedPrompt, $matches); $tokens = $matches[0] ?? []; $groups = []; $synonyms = $this->normalizedRagEvidenceSynonyms(); foreach ($tokens as $token) { $token = trim((string) $token); if ($token === '' || isset($stopTerms[$token]) || mb_strlen($token, 'UTF-8') < 3) { continue; } $group = $synonyms[$token] ?? [$token]; $group = array_values(array_unique(array_filter(array_map( fn (string $item): string => $this->normalizeRagEvidenceText($item), $group )))); if ($group !== []) { $groups[] = $group; } } return $groups; } /** * @return array */ private function normalizedRagEvidenceSynonyms(): array { $out = []; foreach ($this->agentRunnerConfig->getRagEvidenceSynonyms() as $key => $items) { $key = $this->normalizeRagEvidenceText((string) $key); if ($key === '') { continue; } $terms = []; foreach ($items as $item) { $item = $this->normalizeRagEvidenceText((string) $item); if ($item !== '' && !in_array($item, $terms, true)) { $terms[] = $item; } } if (!in_array($key, $terms, true)) { $terms[] = $key; } $out[$key] = $terms; } return $out; } private function containsRagEvidenceTerm(string $haystack, string $needle): bool { $needle = $this->normalizeRagEvidenceText($needle); if ($haystack === '' || $needle === '') { return false; } $pattern = '/(? 'ae', 'ö' => 'oe', 'ü' => 'ue', 'ß' => 'ss', ]); $value = preg_replace('/\s+/u', ' ', $value) ?? $value; return trim($value); } /** * @param string[] $sources */ private function emitSources(array $sources, string $prefix): string { return $this->systemMsg($prefix . implode(' ', $sources), 'info'); } /** * @param string[] $sources */ private function addSource(array &$sources, string $label): void { $badge = $this->badge($label); if (!in_array($badge, $sources, true)) { $sources[] = $badge; } } /** * @param string[] $notices */ private function buildHistoryResponse(string $fullOutput, array $notices): string { $parts = []; foreach ($notices as $notice) { $notice = trim($notice); if ($notice !== '') { $parts[] = $notice; } } $fullOutput = trim($fullOutput); if ($fullOutput !== '') { $parts[] = $fullOutput; } else { $noLlmMessage = $this->plainTextFromHtml($this->agentRunnerConfig->getNoLlmDataReceivedMessage()); if ($noLlmMessage === '') { $noLlmMessage = 'Es wurden keine Daten vom LLM empfangen.'; } $parts[] = 'Systemhinweis: ' . $noLlmMessage; } return trim(implode("\n\n", $parts)); } private function buildHistoryNotice(string $title, ?string $detail): string { $title = $this->normalizeOneLine($this->plainTextFromHtml($title)); $detail = $this->normalizeOneLine($this->plainTextFromHtml((string) $detail)); if ($title === '') { $title = 'Systemhinweis'; } if ($detail === '') { return 'Systemhinweis: ' . $title . '.'; } if (mb_strlen($detail, 'UTF-8') > 500) { $detail = rtrim(mb_substr($detail, 0, 497, 'UTF-8')) . '...'; } return 'Systemhinweis: ' . $title . '. Ursache: ' . $detail; } private function plainTextFromHtml(string $value): string { $value = html_entity_decode(strip_tags($value), ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8'); $value = preg_replace('/\s+/u', ' ', $value) ?? $value; return trim($value); } private function resolveShopCountModeForMeta( string $commerceIntent, bool $shopSearchAttempted, bool $shopSearchHadSystemFailure, bool $shopSearchSkippedBecauseNoQuery = false ): string { if ($shopSearchHadSystemFailure) { return 'unavailable'; } if ($shopSearchAttempted) { return 'count'; } if ($shopSearchSkippedBecauseNoQuery) { return 'not_resolved'; } if ($this->isCommerceIntent($commerceIntent)) { return 'loading'; } return 'not_requested'; } /** * @param string[] $sourceLabels */ private function buildProductionUiMetaMessage( string $stageLabel, ?int $ragCount, ?int $shopCount, string $shopCountMode, array $sourceLabels, string $confidenceLabel, bool $completed = false ): string { $state = $completed ? 'completed' : 'running'; $ragLabel = $ragCount === null ? 'RAG-Treffer: wird geprüft' : 'RAG-Treffer: ' . max(0, $ragCount); $shopLabel = match ($shopCountMode) { 'count' => 'Shop-Treffer: ' . max(0, (int) $shopCount), 'loading' => 'Shop-Treffer: wird geladen', 'unavailable' => 'Shop-Treffer: nicht verfügbar', 'not_resolved' => 'Shop-Treffer: keine Suchquery', default => 'Shop-Treffer: nicht angefragt', }; $statusLabel = $completed ? 'Status: abgeschlossen' : 'Status: läuft'; $sources = $this->formatProductionUiSourceLabels($sourceLabels); $html = '
' . '
RetrieX-Status
' . '
' . htmlspecialchars($stageLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
' . '
' . '' . htmlspecialchars($statusLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '' . '' . htmlspecialchars($ragLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '' . '' . htmlspecialchars($shopLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '' . 'Beleglage: ' . htmlspecialchars($confidenceLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '' . '
'; if ($sources !== []) { $html .= '
Datenbasis
'; foreach ($sources as $source) { $html .= '' . htmlspecialchars($source, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . ''; } $html .= '
'; } else { $emptySourceLabel = $completed ? 'keine belastbare Datenbasis' : 'wird geprüft'; $html .= '
Datenbasis
' . htmlspecialchars($emptySourceLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
'; } $html .= '
'; return $html; } private function resolveProductionUiConfidenceLabel( bool $hasKnowledge, bool $isCommerceIntent, bool $shopSearchAttempted, bool $hasShopResults, bool $shopSearchHadSystemFailure, string $knowledgeEvidenceState = 'unknown' ): string { if ($knowledgeEvidenceState === 'aggregate_missing' && !$hasShopResults) { return $shopSearchHadSystemFailure ? 'geprüfte Quellen ohne Zählinformation; Shopdaten nicht verfügbar' : 'geprüfte Quellen, keine passende Zählinformation'; } if ($shopSearchHadSystemFailure) { return $hasKnowledge ? 'fachlich belegt; Shopdaten nicht verfügbar' : 'Shopdaten nicht verfügbar'; } if ($hasKnowledge && $hasShopResults) { return 'RAG + Shopdaten'; } if (!$hasKnowledge && $hasShopResults) { return 'nur Shopdaten'; } if ($hasKnowledge && $shopSearchAttempted) { return 'RAG-Wissen, keine Shop-Treffer'; } if ($hasKnowledge) { return 'fachlich belegt'; } if ($isCommerceIntent || $shopSearchAttempted) { return 'keine belastbaren Daten'; } return 'noch keine belastbaren Treffer'; } /** * @param string[] $sourceLabels * @return string[] */ private function formatProductionUiSourceLabels(array $sourceLabels): array { $labels = []; foreach ($sourceLabels as $label) { // Source labels are stored as badge HTML for the legacy "Genutzte Quellen" line. // The production UI data-basis chips must render plain labels, otherwise the // nested badge markup is escaped and shown as visible text. $label = $this->plainTextFromHtml((string) $label); if ($label === '') { continue; } if ($label === $this->plainTextFromHtml($this->agentRunnerConfig->getShopSystemSourceLabel())) { $label = 'Live-Shopdaten'; } if (!in_array($label, $labels, true)) { $labels[] = $label; } } return $labels; } /** * @param ShopProductResult[] $shopResults */ private function buildShopProductCardsMessage(array $shopResults, string $query, bool $usedRepair): string { $maxCards = 5; $visibleResults = array_slice($shopResults, 0, $maxCards); $totalCount = count($shopResults); $query = $this->normalizeOneLine($query); $summary = $totalCount . ' Shop-Treffer ausgewertet'; if ($totalCount > $maxCards) { $summary .= ' · Top ' . $maxCards . ' angezeigt'; } if ($usedRepair) { $summary .= ' · erweiterte Shopsuche genutzt'; } $html = '
' . '
Shop-Ergebnisse
' . '
Shop-Ergebnisse
' . '
' . htmlspecialchars($summary, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
'; if ($query !== '') { $html .= '
Ausgewertete Suchquery' . htmlspecialchars($query, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
'; } $html .= '
'; foreach ($visibleResults as $product) { if (!$product instanceof ShopProductResult) { continue; } $html .= $this->buildShopProductCard($product, $query); } $html .= '
'; return $html; } private function buildShopProductCard(ShopProductResult $product, string $query): string { $name = $this->normalizeOneLine($product->name) ?: 'Unbenanntes Produkt'; $productNumber = $this->normalizeOneLine((string) $product->productNumber); $manufacturer = $this->normalizeOneLine((string) $product->manufacturer); $price = $this->normalizeOneLine((string) $product->price); $url = $this->normalizeOneLine((string) $product->url); $availability = $this->formatProductAvailability($product->available); $relevance = $this->buildProductRelevanceLabel($product, $query); $html = '
' . '
'; if ($url !== '') { $html .= '' . htmlspecialchars($name, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . ''; } else { $html .= htmlspecialchars($name, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8'); } $html .= '
'; $html .= '
Artikelnummer
' . htmlspecialchars($productNumber !== '' ? $productNumber : 'nicht übermittelt', ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
'; $html .= '
Preis
' . htmlspecialchars($price !== '' ? $price : 'nicht übermittelt', ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
'; $html .= '
Verfügbarkeit
' . htmlspecialchars($availability, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
'; if ($manufacturer !== '') { $html .= '
Hersteller
' . htmlspecialchars($manufacturer, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
'; } $html .= '
' . '
Relevanz' . htmlspecialchars($relevance, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
' . '
'; return $html; } private function formatProductAvailability(?bool $available): string { return match ($available) { true => 'verfügbar', false => 'nicht verfügbar', default => 'Shopstatus nicht übermittelt', }; } private function buildProductRelevanceLabel(ShopProductResult $product, string $query): string { $matchedQueries = []; foreach ($product->matchedQueries as $matchedQuery) { $matchedQuery = $this->normalizeOneLine((string) $matchedQuery); if ($matchedQuery !== '' && !in_array($matchedQuery, $matchedQueries, true)) { $matchedQueries[] = $matchedQuery; } } if ($matchedQueries !== []) { return 'Gefunden über: ' . implode(', ', array_slice($matchedQueries, 0, 3)); } foreach ($product->highlights as $highlight) { $highlight = $this->normalizeOneLine($this->plainTextFromHtml((string) $highlight)); if ($highlight !== '') { return 'Passender Shop-Hinweis: ' . mb_substr($highlight, 0, 140, 'UTF-8'); } } $matchSource = $this->normalizeOneLine((string) $product->matchSource); if ($matchSource !== '') { return 'Trefferquelle: ' . $matchSource; } if ($query !== '') { return 'Passend zur Suchquery: ' . $query; } return 'Aus den Live-Shopdaten übernommen'; } private function buildFollowUpActionsMessage(bool $isCommerceIntent, bool $hasShopResults, bool $hasKnowledge): string { if (!$isCommerceIntent && !$hasShopResults && !$hasKnowledge) { return ''; } $actions = []; if ($isCommerceIntent || $hasShopResults) { $actions[] = ['Im Shop suchen', 'Suche die aktuelle Produktauswahl im Shop.']; $actions[] = ['Nur Zubehör anzeigen', 'Zeige aus der aktuellen Produktauswahl nur Zubehör.']; $actions[] = ['Nur Geräte anzeigen', 'Zeige aus der aktuellen Produktauswahl nur Geräte.']; $actions[] = ['Preis anzeigen', 'Zeige mir die Preise der aktuell relevanten Produkte.']; } if ($hasKnowledge || $hasShopResults) { $actions[] = ['Technische Details anzeigen', 'Zeige technische Details zur aktuellen Antwort.']; } if ($actions === []) { return ''; } $html = '
' . '
Folgeaktionen
' . '
Was möchtest du als Nächstes tun?
' . '
'; foreach ($actions as [$label, $actionPrompt]) { $html .= ''; } $html .= '
'; return $html; } private function buildShopSearchMetaMessage( string $query, string $commerceIntent, bool $usedOptimizedQuery, string $originalQuery, ?int $resultCount = null, bool $completed = false, bool $attemptedRepair = false, bool $usedRepair = false, bool $unavailable = false ): string { $query = $this->normalizeOneLine($query); $originalQuery = $this->normalizeOneLine($originalQuery); if ($query === '') { $query = $originalQuery !== '' ? $originalQuery : 'keine Suchquery ermittelt'; } $queryModeLabel = $usedOptimizedQuery ? 'optimiert' : 'direkt'; $intentLabel = $commerceIntent !== '' ? $commerceIntent : 'commerce'; $title = $unavailable ? 'Shopdaten nicht verfügbar' : ($completed ? 'Shop-Suche abgeschlossen' : 'Shop-Suche wird ausgeführt'); $statusLabel = $completed ? 'Status: abgeschlossen' : 'Status: läuft'; $resultLabel = $unavailable ? 'Shoptreffer: nicht verfügbar' : ($resultCount === null ? 'Shoptreffer: wird geladen' : 'Shoptreffer: ' . max(0, $resultCount)); $state = $completed ? 'completed' : 'running'; $resultCountAttribute = $resultCount === null ? '' : (string) max(0, $resultCount); $repairLabel = ''; if ($usedRepair) { $repairLabel = 'Erweiterte Suche: genutzt'; } elseif ($attemptedRepair) { $repairLabel = 'Erweiterte Suche: geprüft'; } $html = '
' . '
Shop-Suche
' . '
' . htmlspecialchars($title, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
' . '
' . '' . htmlspecialchars($resultLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '' . '' . htmlspecialchars($statusLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '' . 'Query: ' . htmlspecialchars($queryModeLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '' . 'Intent: ' . htmlspecialchars($intentLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . ''; if ($repairLabel !== '') { $html .= '' . htmlspecialchars($repairLabel, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . ''; } $html .= '
' . '
Gesendete Suchquery' . htmlspecialchars($query, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
' . '
'; return $html; } private function buildShopUnavailableMessage(?string $reason): string { $reason = $this->normalizeOneLine((string) $reason); if ($reason === '') { $reason = 'Keine Detailmeldung vom Shopware-Server.'; } if (mb_strlen($reason, 'UTF-8') > 320) { $reason = rtrim(mb_substr($reason, 0, 317, 'UTF-8')) . '...'; } return '
' . '
⚠️
' . '
' . '
Shopdaten konnten nicht geladen werden
' . '
RetrieX antwortet ohne Live-Shopdaten weiter. Ursache: ' . htmlspecialchars($reason, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') . '
' . '
' . '
'; } private function normalizeOneLine(string $value): string { $value = trim($value); return preg_replace('/\s+/u', ' ', $value) ?? $value; } private function buildUserErrorMessage(Throwable $e): string { $message = trim($e->getMessage()); if ($message === '') { $message = $e::class; } $safeMessage = htmlspecialchars($message, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8'); if (!$this->debug) { return $this->agentRunnerConfig->getGenericInternalErrorMessage() . '
Technischer Fehler: ' . $safeMessage . ''; } return $this->agentRunnerConfig->getDebugInternalErrorPrefix() . $safeMessage; } private function badge(string $label): string { return sprintf( $this->agentRunnerConfig->getSourceBadgeHtmlTemplate(), htmlspecialchars($label, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') ); } private function systemMsg(string $msg, string $type = ''): string { if (!$this->systemMsgOn) { return ''; } return match ($type) { 'answer' => $msg, 'err' => sprintf($this->agentRunnerConfig->getErrorHtmlTemplate(), $msg), 'think' => sprintf($this->agentRunnerConfig->getThinkHtmlTemplate(), $msg), 'info' => sprintf($this->agentRunnerConfig->getInfoHtmlTemplate(), $msg), 'meta' => $msg, 'debug' => sprintf( $this->agentRunnerConfig->getDebugHtmlTemplate(), htmlspecialchars($msg, ENT_QUOTES | ENT_SUBSTITUTE, 'UTF-8') ), default => $msg, }; } }