backend/result_container_parser.py

@@ -158,7 +158,8 @@ def parse_decision_questions(section_text: str) -> Dict[str, str]:
     for pattern in patterns:
         matches = re.finditer(pattern, section_text, re.MULTILINE | re.IGNORECASE)
         for match in matches:
-            question_type = match.group(1).strip().lower()
+            # Preserve original case for question IDs (e.g., "qAnalyst" not "qanalyst")
+            question_type = match.group(1).strip()
             answer = match.group(2).strip()
 
             # Entferne Klammern und Whitespace

backend/routers/prompts.py

@@ -1488,6 +1488,14 @@ async def execute_unified_prompt(
             'vitalwerte': 7
         }
 
+    # Wrapper function to match workflow_executor's expected signature: (prompt, model) -> str
+    # workflow_executor calls: openrouter_call_func(prompt, "anthropic/claude-sonnet-4")
+    # but call_openrouter expects: call_openrouter(prompt, max_tokens=4096)
+    async def workflow_llm_call(prompt: str, model: str = None) -> str:
+        # Ignore model parameter (already set in OPENROUTER_MODEL env var)
+        # Use default max_tokens=4096 from call_openrouter
+        return await call_openrouter(prompt)
+
     # Execute with prompt_executor
     # Always enable debug when saving to collect metadata for value table
     result = await execute_prompt_with_data(
@@ -1495,7 +1503,7 @@ async def execute_unified_prompt(
         profile_id=profile_id,
         modules=modules,
         timeframes=timeframes,
-        openrouter_call_func=call_openrouter,
+        openrouter_call_func=workflow_llm_call,  # Use wrapper with correct signature
         enable_debug=debug or save  # Enable debug if saving for metadata collection
     )
 

backend/routers/workflows.py

@@ -86,11 +86,19 @@ async def execute_workflow_endpoint(
             "type": "workflow"
         }
 
+    # Wrapper function to match workflow_executor's expected signature: (prompt, model) -> str
+    # workflow_executor calls: openrouter_call_func(prompt, "anthropic/claude-sonnet-4")
+    # but call_openrouter expects: call_openrouter(prompt, max_tokens=4096)
+    async def workflow_llm_call(prompt: str, model: str) -> str:
+        # Ignore model parameter (already set in OPENROUTER_MODEL env var)
+        # Use default max_tokens=4096 from call_openrouter
+        return await call_openrouter(prompt)
+
     try:
         result = await execute_workflow_prompt(
             prompt=workflow_prompt,
             variables=variables,
-            openrouter_call_func=call_openrouter,
+            openrouter_call_func=workflow_llm_call,  # Use wrapper with correct signature
             enable_debug=request.enable_debug
         )
         return result

frontend/src/components/workflow/panels/QuestionAugmentationPanel.jsx

@@ -47,7 +47,7 @@ export function QuestionAugmentationPanel({ node, onChange }) {
 
       {questions.map((q, idx) => (
         <QuestionEditor
-          key={q.id}
+          key={idx}
           question={q}
           index={idx}
           onChange={(field, value) => handleQuestionChange(idx, field, value)}