move intent an config value into config files

This commit is contained in:
team2
2026-04-23 21:49:54 +02:00
parent 87417febf4
commit fce44e971d
17 changed files with 1937 additions and 1133 deletions

View File

@@ -6,50 +6,249 @@ namespace App\Config;
final class AgentRunnerConfig
{
public function getCommerceHistoryBudgetChars(): int
{
return 1000;
}
public function getProductSearchKnowledgeChunkLimit(): int
{
return 2;
}
public function getAdvisoryProductSearchKnowledgeChunkLimit(): int
{
return 3;
}
public function getOptimizedShopQueryPrefixPattern(): string
{
return '/^(?:keywords?|suchquery|search\s*query|query)\s*:\s*/iu';
}
public function getOptimizedShopQueryTrimCharacters(): string
{
return " \t\n\r\0\x0B\"'`";
}
public function getEmptyPromptMessage(): string
{
return '❌ Empty prompt.';
}
public function getAnalyzeRequestMessage(): string
{
return 'Ich analysiere deine Anfrage...';
}
public function getCheckInternetSourcesMessage(): string
{
return 'Ich prüfe auf Internetquellen...';
}
public function getRetrieveKnowledgeMessage(): string
{
return 'Ich hole relevante Daten aus meinem RAG-Wissen...';
}
public function getOptimizeSearchMessage(): string
{
return 'Ich optimiere die Recherche...';
}
public function getFetchSearchDataMessageTemplate(): string
{
return 'Ich rufe Recherchedaten ab (type: %s)';
}
public function getAnalyzeAllInformationMessage(): string
{
return 'Ich analysiere alle Informationen...';
}
public function getThinkingWhileStreamingMessage(): string
{
return 'Denke nach...';
}
public function getNoLlmDataReceivedMessage(): string
{
return '❌ Es wurden keine Daten vom LLM empfangen.';
}
public function getGenericInternalErrorMessage(): string
{
return '❌ Bei der Verarbeitung der Anfrage ist ein interner Fehler aufgetreten.';
}
public function getDebugInternalErrorPrefix(): string
{
return '❌ Interner Fehler: ';
}
public function getExternalUrlSourceLabel(): string
{
return 'Externe URL';
}
public function getRagKnowledgeSourceLabel(): string
{
return 'RAG Wissen';
}
public function getConversationHistorySourceLabel(): string
{
return 'Chatverlauf';
}
public function getShopSystemSourceLabel(): string
{
return 'Shopsystem';
}
public function getExtendedShopSearchSourceLabel(): string
{
return 'Erweiterte Shopsuche';
}
public function getUsedSourcesPrefix(): string
{
return 'Genutzte Quellen: ';
}
public function getSourcesPrefix(): string
{
return 'Quellen: ';
}
public function getSourceBadgeHtmlTemplate(): string
{
return '<span class="badge bg-info text-black">%s</span>';
}
public function getErrorHtmlTemplate(): string
{
return '<span class="text-danger">%s</span>' . "\n<hr>\n";
}
public function getThinkHtmlTemplate(): string
{
return '<span class="text-info think">%s</span>' . "\n";
}
public function getInfoHtmlTemplate(): string
{
return "\n\n" . '<span class="text-info fw-bolder">%s</span>' . "\n";
}
public function getDebugHtmlTemplate(): string
{
return "\n\nDEBUG: <code>%s</code>\n";
}
public function getShopPrompt(string $prompt, string $commerceHistoryContext = ''): string
{
$historyBlock = '';
if (trim($commerceHistoryContext) !== '') {
$historyBlock = '
RECENT CONVERSATION CONTEXT:
' . $commerceHistoryContext . '
Additional rules for conversation context:
- The current user input has highest priority.
- Use the recent conversation context only to resolve omitted references.
- Use it only for product carry-over, brand carry-over, model carry-over, or variant follow-ups.
- Do not revive older products unless the current user input clearly refers to them.
- If the current input starts a new topic, ignore older product context.
- Prefer the most recent product reference over older ones.
';
$historyBlock = $this->buildHistoryBlock($commerceHistoryContext);
}
return '
Generate a short search query for Shopware 6 from the following user input text.
Rules:
- Output only the final search query.
- Always convert relevant search terms to their singular form.
- No introduction, no explanation, no quotation marks.
- Use only shop-relevant search terms from the user input for a shop search.
- Maximum 6 search terms, preferably fewer.
- Remove filler words, polite phrases, and irrelevant words.
- Preserve product names, brands, model numbers, and compound terms exactly if they are relevant.
- Numbers that belong to a product name or model must be preserved (e.g. Indikator 300, Testomat 808, Testomat 2000).
- Separate terms using spaces only.
- If a relevant product name is present, it must be placed at the beginning of the final search query.
- Try to always identify all products mentioned in the user input text, even in long prompts.
- Look for terms such as Testomat, Horiba, Tritromat, or words like indicator.
- If the current user input is vague or referential, use the recent conversation context only as support.
- Do not output words that only describe conversation flow, such as "same", "again", "also", or "like above".
Output format:
Keyword1 Keyword2 Keyword3
' . $historyBlock . '
CURRENT USER INPUT:
' . $prompt . '
';
return $this->implodePromptBlocks([
$this->getShopPromptIntro(),
$this->buildRulesBlock($this->getShopPromptRules()),
$this->getShopPromptOutputFormatBlock(),
$historyBlock,
$this->getCurrentUserInputLabel() . ':',
trim($prompt),
]);
}
private function buildHistoryBlock(string $commerceHistoryContext): string
{
return $this->implodePromptBlocks([
$this->getRecentConversationContextLabel() . ':',
trim($commerceHistoryContext),
$this->buildRulesBlock($this->getConversationContextRules(), 'Additional rules for conversation context:'),
]);
}
/**
* @return string[]
*/
public function getShopPromptRules(): array
{
return [
'- Output only the final search query.',
'- Always convert relevant search terms to their singular form.',
'- No introduction, no explanation, no quotation marks.',
'- Use only shop-relevant search terms from the user input for a shop search.',
'- Maximum 6 search terms, preferably fewer.',
'- Remove filler words, polite phrases, and irrelevant words.',
'- Preserve product names, brands, model numbers, and compound terms exactly if they are relevant.',
'- Numbers that belong to a product name or model must be preserved (e.g. Indikator 300, Testomat 808, Testomat 2000).',
'- Separate terms using spaces only.',
'- If a relevant product name is present, it must be placed at the beginning of the final search query.',
'- Try to always identify all products mentioned in the user input text, even in long prompts.',
'- Look for terms such as Testomat, Horiba, Tritromat, or words like indicator.',
'- If the current user input is vague or referential, use the recent conversation context only as support.',
'- Do not output words that only describe conversation flow, such as "same", "again", "also", or "like above".',
];
}
/**
* @return string[]
*/
public function getConversationContextRules(): array
{
return [
'- The current user input has highest priority.',
'- Use the recent conversation context only to resolve omitted references.',
'- Use it only for product carry-over, brand carry-over, model carry-over, or variant follow-ups.',
'- Do not revive older products unless the current user input clearly refers to them.',
'- If the current input starts a new topic, ignore older product context.',
'- Prefer the most recent product reference over older ones.',
];
}
public function getShopPromptIntro(): string
{
return 'Generate a short search query for Shopware 6 from the following user input text.';
}
public function getShopPromptOutputFormatBlock(): string
{
return "Output format:\nKeyword1 Keyword2 Keyword3";
}
public function getRecentConversationContextLabel(): string
{
return 'RECENT CONVERSATION CONTEXT';
}
public function getCurrentUserInputLabel(): string
{
return 'CURRENT USER INPUT';
}
private function buildRulesBlock(array $rules, string $headline = 'Rules:'): string
{
return $headline . "\n" . implode("\n", $rules);
}
/**
* @param string[] $blocks
*/
private function implodePromptBlocks(array $blocks): string
{
$normalized = array_values(array_filter(
array_map(
static fn(string $block): string => trim($block),
$blocks
),
static fn(string $block): bool => $block !== ''
));
return implode("\n\n", $normalized);
}
}