Beispiele und anpassungen an Mistral

.claude/settings.local.json

@@ -34,7 +34,15 @@
       "Bash(KUBECONFIG=/mnt/c/source/Frigosped/Dokumenten-Check/env/frigo-dev.yaml kubectl logs *)",
       "Bash(KUBECONFIG=/mnt/c/source/Frigosped/Dokumenten-Check/env/frigo-dev.yaml kubectl get pods -n ai-env -l app=dc-backend)",
       "Bash(chmod +x *)",
-      "Bash(JAVA_HOME=/usr/lib/jvm/java-21-openjdk-amd64 mvn compile -q)"
+      "Bash(JAVA_HOME=/usr/lib/jvm/java-21-openjdk-amd64 mvn compile -q)",
+      "Bash(KUBECONFIG=/mnt/c/source/Frigosped/Dokumenten-Check/env/frigo-dev.yaml kubectl get nodes)",
+      "Bash(KUBECONFIG=/mnt/c/source/Frigosped/Dokumenten-Check/env/frigo-dev.yaml kubectl config view --minify)",
+      "Bash(KUBECONFIG=../env/frigo-dev.yaml kubectl get pods *)",
+      "Bash(KUBECONFIG=/mnt/c/source/Frigosped/Dokumenten-Check/env/frigo-dev.yaml kubectl get pods *)",
+      "Bash(KUBECONFIG=../env/frigo-dev.yaml kubectl apply *)",
+      "Bash(KUBECONFIG=../env/frigo-dev.yaml kubectl rollout restart deployment/dc-backend -n ai-env)",
+      "Bash(KUBECONFIG=../env/frigo-dev.yaml kubectl rollout status deployment/dc-backend -n ai-env --timeout=120s)",
+      "Bash(KUBECONFIG=../env/frigo-dev.yaml kubectl logs *)"
     ]
   }
 }

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+

Scripts/ORDS-ai-costs-Endpunkt.sql

@@ -0,0 +1,169 @@
+-- =============================================================================
+-- ORDS-Endpunkte: KI-Kostenverfolgung  (ai-costs)
+-- Ergänzt das Modul frigosped.dc um Template 17 (POST + GET).
+--
+-- Voraussetzung: dc_ai_cost_log-Tabelle und DC_COSTS_PKG bereits vorhanden
+--   sqlplus user/pass@db @"Scripts/KI-Kostenverfolgung.sql"
+--
+-- Deployment:
+--   sqlplus user/pass@db @"Scripts/ORDS-ai-costs-Endpunkt.sql"
+--
+-- Idempotent: bestehende Handler werden zuerst gelöscht.
+-- =============================================================================
+SET DEFINE OFF
+
+BEGIN
+
+  -- Idempotenz: Handler entfernen falls vorhanden
+  BEGIN
+    ORDS.DELETE_HANDLER(
+      p_module_name  => 'frigosped.dc',
+      p_uri_template => 'ai-costs',
+      p_method       => 'POST'
+    );
+  EXCEPTION WHEN OTHERS THEN NULL;
+  END;
+
+  BEGIN
+    ORDS.DELETE_HANDLER(
+      p_module_name  => 'frigosped.dc',
+      p_uri_template => 'ai-costs',
+      p_method       => 'GET'
+    );
+  EXCEPTION WHEN OTHERS THEN NULL;
+  END;
+
+  BEGIN
+    ORDS.DELETE_TEMPLATE(
+      p_module_name  => 'frigosped.dc',
+      p_uri_template => 'ai-costs'
+    );
+  EXCEPTION WHEN OTHERS THEN NULL;
+  END;
+
+  -- Template anlegen
+  ORDS.DEFINE_TEMPLATE(
+    p_module_name => 'frigosped.dc',
+    p_pattern     => 'ai-costs',
+    p_priority    => 0,
+    p_comments    => 'KI-Kostenprotokoll: POST speichert Aufruf, GET liefert Auswertung'
+  );
+
+  -- POST /api/dc/ai-costs
+  ORDS.DEFINE_HANDLER(
+    p_module_name => 'frigosped.dc',
+    p_pattern     => 'ai-costs',
+    p_method      => 'POST',
+    p_source_type => ORDS.SOURCE_TYPE_PLSQL,
+    p_comments    => '201 Created mit neuer cost_log id',
+    p_source      => '
+      DECLARE
+        v_body    CLOB;
+        v_new_id  NUMBER;
+      BEGIN
+        v_body := :body_text;
+
+        INSERT INTO dc_ai_cost_log (
+          provider, model_name, operation,
+          project_id, catalog_id,
+          prompt_tokens, completion_tokens, total_tokens,
+          cost_eur
+        ) VALUES (
+          JSON_VALUE(v_body, ''$.provider''),
+          JSON_VALUE(v_body, ''$.model_name''),
+          JSON_VALUE(v_body, ''$.operation''),
+          TO_NUMBER(JSON_VALUE(v_body, ''$.project_id'')),
+          TO_NUMBER(JSON_VALUE(v_body, ''$.catalog_id'')),
+          NVL(TO_NUMBER(JSON_VALUE(v_body, ''$.prompt_tokens'')),     0),
+          NVL(TO_NUMBER(JSON_VALUE(v_body, ''$.completion_tokens'')), 0),
+          NVL(TO_NUMBER(JSON_VALUE(v_body, ''$.total_tokens'')),      0),
+          NVL(TO_NUMBER(JSON_VALUE(v_body, ''$.cost_eur'')),          0)
+        )
+        RETURNING id INTO v_new_id;
+
+        :status_code := 201;
+        HTP.P(''{"id":'' || v_new_id || ''}'');
+
+      EXCEPTION
+        WHEN OTHERS THEN
+          ROLLBACK;
+          :status_code := 500;
+          HTP.P(''{"error":"'' || REPLACE(SQLERRM, ''"'', '''''''') || ''"}'' );
+      END;
+    '
+  );
+
+  -- GET /api/dc/ai-costs
+  ORDS.DEFINE_HANDLER(
+    p_module_name => 'frigosped.dc',
+    p_pattern     => 'ai-costs',
+    p_method      => 'GET',
+    p_source_type => ORDS.SOURCE_TYPE_PLSQL,
+    p_comments    => 'Kostenauswertung: total, current_month, monatliche Aufschluesselung via DC_COSTS_PKG',
+    p_source      => '
+      DECLARE
+        v_total_eur     NUMBER;
+        v_total_tokens  NUMBER;
+        v_total_calls   NUMBER;
+        v_month_eur     NUMBER;
+        v_month_tokens  NUMBER;
+        v_month_calls   NUMBER;
+        v_monthly_json  CLOB;
+      BEGIN
+        DC_COSTS_PKG.get_summary(
+          v_total_eur,    v_total_tokens,   v_total_calls,
+          v_month_eur,    v_month_tokens,   v_month_calls
+        );
+
+        SELECT JSON_ARRAYAGG(
+                 JSON_OBJECT(
+                   ''month''             VALUE month,
+                   ''cost_eur''          VALUE ROUND(cost_eur, 6),
+                   ''prompt_tokens''     VALUE prompt_tokens,
+                   ''completion_tokens'' VALUE completion_tokens,
+                   ''total_tokens''      VALUE total_tokens,
+                   ''call_count''        VALUE call_count
+                 )
+                 ORDER BY month DESC
+                 RETURNING CLOB
+               )
+        INTO   v_monthly_json
+        FROM  (
+          SELECT
+            TO_CHAR(called_at, ''YYYY-MM'')  AS month,
+            SUM(cost_eur)                    AS cost_eur,
+            SUM(prompt_tokens)               AS prompt_tokens,
+            SUM(completion_tokens)           AS completion_tokens,
+            SUM(total_tokens)                AS total_tokens,
+            COUNT(*)                         AS call_count
+          FROM  dc_ai_cost_log
+          WHERE called_at >= ADD_MONTHS(TRUNC(SYSDATE, ''MM''), -11)
+          GROUP BY TO_CHAR(called_at, ''YYYY-MM'')
+        );
+
+        :status_code := 200;
+        HTP.P(
+          ''{"total":{''
+          || ''  "cost_eur":''     || ROUND(NVL(v_total_eur,    0), 6)
+          || '', "total_tokens":'' || NVL(v_total_tokens, 0)
+          || '', "call_count":''   || NVL(v_total_calls,  0)
+          || ''}, "current_month":{''
+          || ''  "month":"''       || TO_CHAR(SYSDATE, ''YYYY-MM'') || ''"''
+          || '', "cost_eur":''     || ROUND(NVL(v_month_eur,    0), 6)
+          || '', "total_tokens":'' || NVL(v_month_tokens, 0)
+          || '', "call_count":''   || NVL(v_month_calls,  0)
+          || ''}, "monthly":''     || NVL(v_monthly_json, ''[]'')
+          || ''}''
+        );
+
+      EXCEPTION
+        WHEN OTHERS THEN
+          :status_code := 500;
+          HTP.P(''{"error":"'' || REPLACE(SQLERRM, ''"'', '''''''') || ''"}'' );
+      END;
+    '
+  );
+
+  COMMIT;
+END;
+/

dc-backend/k8s/deployment.yaml

@@ -32,10 +32,20 @@ spec:
                   name: dc-backend-secrets
                   key: api-key
                   optional: true
-            # Ollama KI-Endpunkt
+            # KI-Provider: mistral | ollama
-            - name: DC_AI_BASE_URL
+            - name: DC_AI_PROVIDER
+              value: "mistral"
+            # Mistral API-Key
+            - name: MISTRAL_API_KEY
+              valueFrom:
+                secretKeyRef:
+                  name: dc-backend-secrets
+                  key: mistral-api-key
+                  optional: true
+            # Ollama-Fallback (aktiv wenn DC_AI_PROVIDER=ollama)
+            - name: DC_AI_OLLAMA_BASE_URL
               value: "https://ollama.aquantico.de"
-            - name: DC_AI_API_KEY
+            - name: DC_AI_OLLAMA_API_KEY
               valueFrom:
                 secretKeyRef:
                   name: dc-backend-secrets
@@ -85,4 +95,5 @@ metadata:
 type: Opaque
 stringData:
   api-key: ""
+  mistral-api-key: "2AkoohJC8MjfjhfLGObQESZs9jxbDnc0"
   ollama-api-key: "324GF44-50AA-4B57-9386-K435DLJ764DFR"

dc-backend/src/main/java/de/frigosped/dc/model/EvaluationResult.java

@@ -9,6 +9,9 @@ import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
 @JsonIgnoreProperties(ignoreUnknown = true)
 public class EvaluationResult {
 
+    /** Frage-ID – wird im Batch-Modus von der KI zurückgegeben */
+    private Long questionId;
+
     /** Antwort auf Deutsch (Zitate in Originalsprache + Übersetzung) */
     private String answer;
 
@@ -23,15 +26,18 @@ public class EvaluationResult {
 
     public EvaluationResult() {}
 
-    public String getAnswer()            { return answer; }
+    public Long getQuestionId()           { return questionId; }
-    public void setAnswer(String v)      { this.answer = v; }
+    public void setQuestionId(Long v)     { this.questionId = v; }
 
-    public Integer getScore()            { return score; }
+    public String getAnswer()             { return answer; }
-    public void setScore(Integer v)      { this.score = v; }
+    public void setAnswer(String v)       { this.answer = v; }
 
-    public String getResultType()        { return resultType; }
+    public Integer getScore()             { return score; }
-    public void setResultType(String v)  { this.resultType = v; }
+    public void setScore(Integer v)       { this.score = v; }
 
-    public String getTheComment()        { return theComment; }
+    public String getResultType()         { return resultType; }
-    public void setTheComment(String v)  { this.theComment = v; }
+    public void setResultType(String v)   { this.resultType = v; }
+
+    public String getTheComment()         { return theComment; }
+    public void setTheComment(String v)   { this.theComment = v; }
 }

dc-backend/src/main/java/de/frigosped/dc/service/CheckOrchestrationService.java

@@ -13,6 +13,7 @@ import java.time.Instant;
 import java.time.ZoneId;
 import java.time.format.DateTimeFormatter;
 import java.time.temporal.ChronoUnit;
+import java.util.ArrayList;
 import java.util.Comparator;
 import java.util.HashMap;
 import java.util.List;
@@ -195,54 +196,33 @@ public class CheckOrchestrationService {
                     continue;
                 }
 
-                for (OrdsQuestion question : questions) {
+                List<List<OrdsQuestion>> batches = partition(questions, 4);
-                    // Vor dem Schritt: Status auf "wertet Frage X in Dokument Y aus"
+
+                for (List<OrdsQuestion> batch : batches) {
+                    OrdsQuestion first = batch.get(0);
                     pushProgress(projectId, stepHolder[0], totalSteps, "QUESTIONS",
-                                 doc.getId(), question.getQuestionId(), startedAt);
+                                 doc.getId(), first.getQuestionId(), startedAt);
 
+                    Map<Long, EvaluationResult> batchResults;
                     try {
-                        LOG.debugf("Auswertung: Dok %d × Frage %d",
+                        LOG.debugf("Batch-Auswertung: Dok %d, %d Fragen ab ID %d",
-                            doc.getId(), question.getQuestionId());
+                            (Object) doc.getId(), (Object) batch.size(), (Object) first.getQuestionId());
-
+                        batchResults = evaluationService.evaluateBatch(batch, originalText, projectId);
-                        EvaluationResult result = evaluationService.evaluate(question, originalText, projectId);
-
-                        int deviation = 0;
-                        int warning   = 0;
-                        if (result.getScore() != null && question.getThreshold() != null
-                                && result.getScore() < question.getThreshold()) {
-                            if ("ABWEICHUNG".equalsIgnoreCase(question.getResultHandling())) {
-                                deviation = 1;
-                            } else if ("HINWEIS".equalsIgnoreCase(question.getResultHandling())) {
-                                warning = 1;
-                            }
-                        }
-
-                        ResultRequest rr = new ResultRequest(
-                            question.getQuestionId(),
-                            doc.getId(),
-                            result.getAnswer(),
-                            result.getScore(),
-                            result.getResultType(),
-                            deviation,
-                            warning,
-                            result.getTheComment()
-                        );
-
-                        Response saveResp = ordsClient.saveResult(projectId, rr);
-                        if (saveResp.getStatus() != 201) {
-                            LOG.warnf("Ergebnis speichern: HTTP %d (Frage %d, Dok %d)",
-                                saveResp.getStatus(), question.getQuestionId(), doc.getId());
-                        }
-
                     } catch (Exception e) {
-                        LOG.errorf(e, "Auswertungsfehler: Frage %d / Dokument %d",
+                        LOG.warnf("Batch fehlgeschlagen (Dok %d, Frage %d+) – falle auf Einzelaufrufe zurück: %s",
-                            question.getQuestionId(), doc.getId());
+                            doc.getId(), first.getQuestionId(), e.getMessage());
+                        batchResults = evaluateIndividually(batch, originalText, projectId);
                     }
 
-                    // Nach dem Schritt: Fortschritt + ETA aktualisieren
+                    for (OrdsQuestion question : batch) {
-                    stepHolder[0]++;
+                        EvaluationResult result = batchResults.get(question.getQuestionId());
+                        if (result == null) continue;
+                        saveResult(projectId, doc.getId(), question, result);
+                    }
+
+                    stepHolder[0] += batch.size();
                     pushProgress(projectId, stepHolder[0], totalSteps, "QUESTIONS",
-                                 doc.getId(), question.getQuestionId(), startedAt);
+                                 doc.getId(), batch.get(batch.size() - 1).getQuestionId(), startedAt);
                 }
             }
 
@@ -277,6 +257,56 @@ public class CheckOrchestrationService {
         }
     }
 
+    /** Teilt eine Liste in Untergruppen der gewünschten Größe auf. */
+    private static <T> List<List<T>> partition(List<T> list, int size) {
+        List<List<T>> parts = new ArrayList<>();
+        for (int i = 0; i < list.size(); i += size) {
+            parts.add(list.subList(i, Math.min(i + size, list.size())));
+        }
+        return parts;
+    }
+
+    /** Fallback: wertet jede Frage einzeln aus, gibt Map question_id → result zurück. */
+    private Map<Long, EvaluationResult> evaluateIndividually(List<OrdsQuestion> questions,
+                                                              String documentText,
+                                                              long projectId) {
+        Map<Long, EvaluationResult> map = new HashMap<>();
+        for (OrdsQuestion q : questions) {
+            try {
+                map.put(q.getQuestionId(),
+                        evaluationService.evaluate(q, documentText, projectId));
+            } catch (Exception e) {
+                LOG.errorf(e, "Einzelauswertung fehlgeschlagen: Frage %d", q.getQuestionId());
+            }
+        }
+        return map;
+    }
+
+    private void saveResult(long projectId, long docId,
+                            OrdsQuestion question, EvaluationResult result) {
+        try {
+            int deviation = 0, warning = 0;
+            if (result.getScore() != null && question.getThreshold() != null
+                    && result.getScore() < question.getThreshold()) {
+                if ("ABWEICHUNG".equalsIgnoreCase(question.getResultHandling())) deviation = 1;
+                else if ("HINWEIS".equalsIgnoreCase(question.getResultHandling()))  warning   = 1;
+            }
+            ResultRequest rr = new ResultRequest(
+                question.getQuestionId(), docId,
+                result.getAnswer(), result.getScore(), result.getResultType(),
+                deviation, warning, result.getTheComment()
+            );
+            Response saveResp = ordsClient.saveResult(projectId, rr);
+            if (saveResp.getStatus() != 201) {
+                LOG.warnf("Ergebnis speichern: HTTP %d (Frage %d, Dok %d)",
+                    saveResp.getStatus(), question.getQuestionId(), docId);
+            }
+        } catch (Exception e) {
+            LOG.errorf(e, "Ergebnis-Speichern fehlgeschlagen: Frage %d / Dokument %d",
+                question.getQuestionId(), docId);
+        }
+    }
+
     /**
      * Berechnet die geschätzte Fertigstellung auf Basis der bisher verstrichenen Zeit.
      * ETA = jetzt + (verbleibende Schritte × Ø Dauer pro Schritt)

dc-backend/src/main/java/de/frigosped/dc/service/EvaluationService.java

@@ -14,7 +14,9 @@ import jakarta.inject.Inject;
 import jakarta.inject.Named;
 import org.jboss.logging.Logger;
 
+import java.util.HashMap;
 import java.util.List;
+import java.util.Map;
 import java.util.regex.Matcher;
 import java.util.regex.Pattern;
 
@@ -113,6 +115,157 @@ public class EvaluationService {
         return parseEvaluationResult(rawText, question);
     }
 
+    // =========================================================================
+    // Batch-Auswertung (bis zu 4 Fragen pro KI-Aufruf)
+    // =========================================================================
+
+    /**
+     * Wertet mehrere Fragen in einem einzigen KI-Aufruf aus.
+     * Gibt eine Map question_id → EvaluationResult zurück.
+     * Wirft eine Exception wenn die KI-Antwort nicht als JSON-Array parsbar ist,
+     * damit der Aufrufer auf Einzel-Aufrufe zurückfallen kann.
+     */
+    public Map<Long, EvaluationResult> evaluateBatch(List<OrdsQuestion> questions,
+                                                      String documentText,
+                                                      long projectId) {
+        if (questions.isEmpty()) return Map.of();
+
+        LOG.debugf("Batch-Auswertung: %d Frage(n)", questions.size());
+
+        List<ChatMessage> messages = List.of(
+            SystemMessage.from(buildBatchSystem(questions.size())),
+            UserMessage.from(buildBatchUser(questions, documentText))
+        );
+
+        Response<AiMessage> response = mainModel.generate(messages);
+        costTracker.track("main", "EVALUATE", projectId, null, response.tokenUsage());
+
+        List<EvaluationResult> results = parseBatchResult(response.content().text(), questions);
+
+        Map<Long, EvaluationResult> map = new HashMap<>();
+        for (EvaluationResult r : results) {
+            if (r.getQuestionId() != null) {
+                map.put(r.getQuestionId(), r);
+            }
+        }
+        // Lücken füllen: für fehlende question_ids Fallback-Ergebnis eintragen
+        for (OrdsQuestion q : questions) {
+            map.computeIfAbsent(q.getQuestionId(), id -> {
+                LOG.warnf("Keine Batch-Antwort für Frage %d – verwende UNKLAR-Fallback", id);
+                return buildFallback("Frage wurde im Batch nicht beantwortet.");
+            });
+        }
+        return map;
+    }
+
+    private String buildBatchSystem(int questionCount) {
+        return """
+            Du bist ein Experte für Transportrecht, AGB-Recht und Vertragsanalyse.
+            Du prüfst Transport- und Speditionsdokumente gegen einen Fragenkatalog.
+
+            Antworte AUSSCHLIESSLICH mit einem gültigen JSON-Array – kein Text davor oder danach.
+            Das Array enthält für JEDE Frage genau ein Objekt:
+
+            [
+              {
+                "question_id": <ID der Frage – exakt wie angegeben>,
+                "answer": "<Antwort auf Deutsch; Zitate aus dem Dokument in Originalsprache mit Übersetzung in Klammern>",
+                "score": <Erfüllungsgrad 0 bis 100>,
+                "result_type": "<OK wenn score >= Schwellwert, NOK wenn klar nicht erfüllt, UNKLAR wenn grenzwertig>",
+                "the_comment": "<Kurzer fachlicher Kommentar auf Deutsch, max. 3 Sätze>"
+              }
+            ]
+
+            Pflicht: Das Array muss GENAU %d Einträge enthalten (einen pro Frage).
+            Die question_id jedes Eintrags muss exakt der ID der gestellten Frage entsprechen.
+            """.formatted(questionCount);
+    }
+
+    private String buildBatchUser(List<OrdsQuestion> questions, String documentText) {
+        StringBuilder sb = new StringBuilder();
+        sb.append("## Zu prüfendes Dokument\n\n");
+        sb.append(documentText).append("\n\n---\n\n");
+        sb.append("## Prüffragen (").append(questions.size()).append(" Fragen)\n\n");
+
+        for (int i = 0; i < questions.size(); i++) {
+            OrdsQuestion q = questions.get(i);
+            sb.append("### Frage ").append(i + 1)
+              .append(" (ID: ").append(q.getQuestionId())
+              .append(", Kategorie: ").append(q.getCategoryName()).append(")\n\n");
+            sb.append(q.getQuestionText()).append("\n\n");
+
+            if (q.getThreshold() != null) {
+                sb.append("**Schwellwert:** ").append(q.getThreshold())
+                  .append("% – unterhalb gilt die Anforderung als nicht erfüllt\n\n");
+            }
+            if (q.getExample0Percent() != null && !q.getExample0Percent().isBlank()) {
+                sb.append("**Beispiel 0%:** ").append(q.getExample0Percent()).append("\n\n");
+            }
+            if (q.getExample100Percent() != null && !q.getExample100Percent().isBlank()) {
+                sb.append("**Beispiel 100%:** ").append(q.getExample100Percent()).append("\n\n");
+            }
+        }
+
+        sb.append("---\n\nAntworte jetzt mit dem JSON-Array (").append(questions.size())
+          .append(" Einträge):");
+        return sb.toString();
+    }
+
+    private List<EvaluationResult> parseBatchResult(String rawText, List<OrdsQuestion> questions) {
+        try {
+            String json = extractJsonArray(rawText);
+            List<EvaluationResult> results = objectMapper.readValue(
+                json,
+                objectMapper.getTypeFactory().constructCollectionType(List.class, EvaluationResult.class)
+            );
+            // Fehlende Defaults setzen
+            for (int i = 0; i < results.size(); i++) {
+                EvaluationResult r = results.get(i);
+                if (r.getScore() == null) r.setScore(0);
+                if (r.getAnswer() == null) r.setAnswer("Keine Antwort erhalten.");
+                // question_id aus Position ableiten falls KI sie vergessen hat
+                if (r.getQuestionId() == null && i < questions.size()) {
+                    r.setQuestionId(questions.get(i).getQuestionId());
+                }
+                if (r.getResultType() == null || !isValidResultType(r.getResultType())) {
+                    Integer threshold = (i < questions.size()) ? questions.get(i).getThreshold() : null;
+                    r.setResultType(deriveResultType(r.getScore(), threshold));
+                }
+            }
+            return results;
+        } catch (Exception e) {
+            LOG.warnf("Batch-JSON-Parsing fehlgeschlagen: %s", e.getMessage());
+            LOG.debugf("Rohe KI-Antwort: %s", rawText);
+            throw new RuntimeException("Batch-Parsing fehlgeschlagen: " + e.getMessage(), e);
+        }
+    }
+
+    private String extractJsonArray(String text) {
+        if (text == null || text.isBlank()) throw new IllegalArgumentException("Leere KI-Antwort");
+
+        // JSON in ```-Block
+        Matcher m = JSON_PATTERN.matcher(text);
+        if (m.find()) {
+            String candidate = m.group(1) != null ? m.group(1) : m.group(2);
+            if (candidate != null && candidate.stripLeading().startsWith("[")) return candidate.trim();
+        }
+        // Direkt als Array
+        int start = text.indexOf('[');
+        int end   = text.lastIndexOf(']');
+        if (start >= 0 && end > start) return text.substring(start, end + 1);
+
+        throw new IllegalArgumentException("Kein JSON-Array in KI-Antwort gefunden");
+    }
+
+    private EvaluationResult buildFallback(String message) {
+        EvaluationResult r = new EvaluationResult();
+        r.setAnswer(message);
+        r.setScore(0);
+        r.setResultType("UNKLAR");
+        r.setTheComment("Automatische Auswertung konnte nicht zugeordnet werden.");
+        return r;
+    }
+
     // =========================================================================
     // Prompt-Builder
     // =========================================================================

env/frigo-dev.yaml

@@ -4,12 +4,11 @@ clusters:
 - name: "local"
   cluster:
     server: "https://rancherdev.express-o.org/k8s/clusters/local"
-    insecure-skip-tls-verify: true
 
 users:
 - name: "local"
   user:
-    token: "kubeconfig-u-zugnvqkby7rgbsc:7f4n9tplsd9r2wpdl5bx2n72wwkmfvpvsfg56z8b88s2hq986rqsr4"
+    token: "kubeconfig-u-zugnvqkby72pmqn:9v7gwpjbzqzfsw4srfjdrf6p6q2nvhq22c2nf5tls774z2gt64vmpc"
 
 
 contexts: