refactor: complete workflow redesign with Code nodes and proper data flow

- Replace Set nodes with Code nodes for JavaScript-based data transformation
- Code node in Extract: maps data array to individual items for iteration
- Code node in Parse: handles JSON parsing with error fallback
- Replace If node with Switch node for more reliable conditional logic
- Remove Split Results node entirely - handled in Code nodes
- Proper error handling for malformed LLM responses
- Should resolve all undefined/toLowerCase errors

n8n-workflows/workflow-a-http.json

@@ -29,56 +29,15 @@
         "jsonBody": "{\"query\":\"SELECT c.id, c.number, c.subject, c.customer_email, c.status, GROUP_CONCAT(t.body SEPARATOR ',') as threads_text FROM conversations c LEFT JOIN threads t ON c.id = t.conversation_id LEFT JOIN conversation_custom_field ccf ON c.id = ccf.conversation_id AND ccf.custom_field_id = 8 WHERE c.status = 1 AND ccf.id IS NULL GROUP BY c.id LIMIT 20\"}"
       }
     },
-    {
-      "id": "uuid-split-results",
-      "name": "Split Results",
-      "type": "n8n-nodes-base.splitInBatches",
-      "typeVersion": 3,
-      "position": [650, 200],
-      "parameters": {
-        "batchSize": 1,
-        "options": {
-          "basePath": "data"
-        }
-      }
-    },
     {
       "id": "uuid-extract-data",
       "name": "Extract Conversation Data",
-      "type": "n8n-nodes-base.set",
-      "typeVersion": 3,
-      "position": [850, 200],
+      "type": "n8n-nodes-base.code",
+      "typeVersion": 2,
+      "position": [650, 200],
       "parameters": {
-        "options": {},
-        "assignments": {
-          "assignments": [
-            {
-              "name": "ticket_id",
-              "value": "={{ $json.id }}",
-              "type": "number"
-            },
-            {
-              "name": "ticket_number",
-              "value": "={{ $json.number }}",
-              "type": "number"
-            },
-            {
-              "name": "subject",
-              "value": "={{ $json.subject }}",
-              "type": "string"
-            },
-            {
-              "name": "problem_text",
-              "value": "={{ ($json.threads_text || 'No description provided').substring(0, 2000) }}",
-              "type": "string"
-            },
-            {
-              "name": "customer_email",
-              "value": "={{ $json.customer_email }}",
-              "type": "string"
-            }
-          ]
-        }
+        "language": "javascript",
+        "jsCode": "const data = $input.all()[0].json.data;\nreturn data.map(item => ({\njson: {\nticket_id: item.id,\nticket_number: item.number,\nsubject: item.subject,\nproblem_text: (item.threads_text || 'No description provided').substring(0, 2000),\ncustomer_email: item.customer_email\n}\n}));"
       }
     },
     {
@@ -101,57 +60,28 @@
     {
       "id": "uuid-parse-response",
       "name": "Parse AI Response",
-      "type": "n8n-nodes-base.set",
-      "typeVersion": 3,
+      "type": "n8n-nodes-base.code",
+      "typeVersion": 2,
       "position": [1050, 200],
       "parameters": {
-        "options": {},
-        "assignments": {
-          "assignments": [
-            {
-              "name": "response_text",
-              "value": "={{ $json.choices?.[0]?.message?.content || '{}' }}",
-              "type": "string"
-            },
-            {
-              "name": "ai_response",
-              "value": "={{ typeof $json.response_text === 'string' ? JSON.parse($json.response_text) : $json.response_text }}",
-              "type": "object"
-            },
-            {
-              "name": "vertrauen",
-              "value": "={{ $json.ai_response?.vertrauen || 0.5 }}",
-              "type": "number"
-            }
-          ]
-        }
+        "language": "javascript",
+        "jsCode": "const content = $json.choices?.[0]?.message?.content || '{}';\nlet aiResponse = {};\ntry {\naiResponse = JSON.parse(content);\n} catch(e) {\naiResponse = {kategorie: 'unknown', lösung_typ: 'ESKALATION', vertrauen: 0.3, antwort_text: 'Fehler bei der Analyse'};\n}\nreturn {json: {...$json, response_text: content, ai_response: aiResponse, vertrauen: aiResponse.vertrauen || 0.3}};"
       }
     },
     {
       "id": "uuid-check-confidence",
       "name": "Check Confidence >= 0.6",
-      "type": "n8n-nodes-base.if",
-      "typeVersion": 2,
+      "type": "n8n-nodes-base.switch",
+      "typeVersion": 1,
       "position": [1250, 200],
       "parameters": {
-        "conditions": {
-          "options": {
-            "caseSensitive": true,
-            "extractValue": false
-          },
-          "combinator": "and",
-          "conditions": [
-            {
-              "id": "condition_1",
-              "leftValue": "={{ $json.vertrauen }}",
-              "rightValue": 0.6,
-              "operator": {
-                "name": "filter.operator.gte",
-                "value": ">="
-              }
-            }
-          ]
-        }
+        "options": [
+          {
+            "condition": "numberGreaterThanOrEqual",
+            "value1": "={{ $json.vertrauen }}",
+            "value2": 0.6
+          }
+        ]
       }
     },
     {
@@ -208,16 +138,6 @@
       ]
     },
     "Get Unprocessed Conversations": {
-      "main": [
-        [
-          {
-            "node": "Split Results",
-            "index": 0
-          }
-        ]
-      ]
-    },
-    "Split Results": {
       "main": [
         [
           {