feat(pipeline): output_language pro Org durch die Pipeline reichen

- OUTPUT_LANGUAGE Konstante aus config.py entfernt (jetzt pro Org in
  organization_settings).
- Orchestrator laedt output_language einmal pro Refresh aus der Org-Sprache.
- researcher.search(), analyzer.analyze/.analyze_incremental/.generate_latest_developments,
  factchecker.check/.check_incremental/.check_incremental_twophase bekommen
  output_language als Parameter (Default Deutsch).
- LANG_INTERNATIONAL / LANG_GERMAN_ONLY (+ Deep-Varianten) sind Funktionen,
  die je nach output_language die Sprachanweisung erzeugen (Deutsch | English
  | Fallback).
- Sprachfilter in researcher.search ist org-relativ: bei nicht-international
  werden Artikel mit Sprache != output_language_iso gefiltert.

Phase 2 von 8 (eng_demo / Org-Sprache). Bestandsorgs unveraendert, weil
Default-Setting weiterhin de (siehe Phase-1-Migration).

src/agents/orchestrator.py

@@ -743,6 +743,10 @@ class AgentOrchestrator:
             visibility = incident["visibility"] if "visibility" in incident.keys() else "public"
             created_by = incident["created_by"] if "created_by" in incident.keys() else None
             tenant_id = incident["tenant_id"] if "tenant_id" in incident.keys() else None
+            # Org-Sprache fuer alle KI-Agenten (Lagebild, Faktencheck, Recherche)
+            from services.org_settings import get_org_language, language_display
+            output_language_iso = await get_org_language(db, tenant_id) if tenant_id else "de"
+            output_language = language_display(output_language_iso)
             previous_summary = incident["summary"] or ""
             previous_sources_json = incident["sources_json"] if "sources_json" in incident.keys() else None
             previous_developments = incident["latest_developments"] if "latest_developments" in incident.keys() else None
@@ -923,6 +927,8 @@ class AgentOrchestrator:
                     international=international, user_id=user_id,
                     existing_articles=existing_for_context,
                     preferred_sources=preferred_sources,
+                    output_language=output_language,
+                    output_language_iso=output_language_iso,
                 )
                 logger.info(
                     f"Claude-Recherche: {len(results)} Ergebnisse"
@@ -1308,12 +1314,14 @@ class AgentOrchestrator:
                             title, description, new_articles_for_analysis,
                             previous_summary, previous_sources_json, incident_type,
                             fact_context_block=fact_context_block,
+                            output_language=output_language,
                         )
                     else:
                         logger.info("Erstanalyse: Alle Artikel werden analysiert")
                         return await analyzer.analyze(
                             title, description, all_articles_preloaded, incident_type,
                             fact_context_block=fact_context_block,
+                            output_language=output_language,
                         )
 
                 # --- Faktencheck-Task ---
@@ -1327,6 +1335,7 @@ class AgentOrchestrator:
                             )
                             return await factchecker.check_incremental_twophase(
                                 title, new_articles_for_analysis, existing_facts, incident_type,
+                                output_language=output_language,
                             )
                         else:
                             logger.info(
@@ -1335,6 +1344,7 @@ class AgentOrchestrator:
                             )
                             return await factchecker.check_incremental(
                                 title, new_articles_for_analysis, existing_facts, incident_type,
+                                output_language=output_language,
                             )
                     else:
                         # Alle Artikel laden falls nicht vorab geladen (Henne-Ei-Problem:
@@ -1346,7 +1356,7 @@ class AgentOrchestrator:
                                 (incident_id,),
                             )
                             articles_for_check = [dict(row) for row in await cursor.fetchall()]
-                        return await factchecker.check(title, articles_for_check, incident_type)
+                        return await factchecker.check(title, articles_for_check, incident_type, output_language=output_language)
 
                 # Pipeline-Schritt 6: Faktencheck zuerst (sequenziell). Liefert den
                 # Faktenkontext fuer das Lagebild, damit dieses auf geprueftem Stand
@@ -1573,6 +1583,7 @@ class AgentOrchestrator:
                         dev_analyzer = AnalyzerAgent()
                         dev_text, dev_usage = await dev_analyzer.generate_latest_developments(
                             title, description, dev_summary_source, dev_articles, previous_developments,
+                            output_language=output_language,
                         )
                         if dev_usage:
                             usage_acc.add(dev_usage)