# Agent orchestration limits, user-visible status/source labels and Shopware query prompt wording.
# Values mirror the current stable defaults; PHP fallbacks remain in AgentRunnerConfig.
parameters:
  retriex.agent.config:
    commerce_history_budget_chars: 1000
    product_search_knowledge_chunk_limit: 6
    advisory_product_search_knowledge_chunk_limit: 9
    optimized_shop_query_prefix_pattern: '/^(?:keywords?|suchquery|search\s*query|query)\s*:\s*/iu'

    messages:
      empty_prompt: '❌ Empty prompt.'
      analyze_request: 'Ich analysiere deine Anfrage...'
      check_internet_sources: 'Ich prüfe auf Internetquellen...'
      retrieve_knowledge: 'Ich hole relevante Daten aus meinem RAG-Wissen...'
      optimize_search: 'Ich optimiere die Recherche...'
      fetch_search_data_template: 'Ich rufe Recherchedaten ab (type: %s)'
      analyze_all_information: 'Ich analysiere alle Informationen...'
      thinking_while_streaming: 'Denke nach...'
      no_llm_data_received: '❌ Es wurden keine Daten vom LLM empfangen.'
      generic_internal_error: '❌ Bei der Verarbeitung der Anfrage ist ein interner Fehler aufgetreten.'
      debug_internal_error_prefix: '❌ Interner Fehler: '

    source_labels:
      external_url: 'Externe URL'
      rag_knowledge: 'RAG Wissen'
      conversation_history: 'Chatverlauf'
      shop_system: 'Shopsystem'
      extended_shop_search: 'Erweiterte Shopsuche'
      used_sources_prefix: 'Genutzte Quellen: '
      sources_prefix: 'Quellen: '

    html:
      source_badge_template: '<span class="badge bg-info text-black">%s</span>'
      error_template: |
        <div class="retriex-alert retriex-alert--error"><div class="retriex-alert__icon">❌</div><div class="retriex-alert__content"><div class="retriex-alert__title">Hinweis</div><div class="retriex-alert__text">%s</div></div></div>
      think_template: |
        <span class="text-info think">%s</span>
      info_template: "\n\n<span class=\"text-info fw-bolder\">%s</span>\n"
      debug_template: "\n\nDEBUG: <code>%s</code>\n"

    shop_prompt:
      intro: 'Generate a short search query for Shopware 6 from the following user input text.'
      output_format_block: |-
        Output format:
        Keyword1 Keyword2 Keyword3
      recent_conversation_context_label: 'RECENT CONVERSATION CONTEXT'
      current_user_input_label: 'CURRENT USER INPUT'
      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".'
      conversation_context_rules:
        - '- 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.'