ai response loop with context for long answers

modules/services/serviceAi/mainServiceAi.py

@@ -706,8 +706,10 @@ class AiService:
         prompt: str,
         documents: Optional[List[ChatDocument]] = None,
         placeholders: Optional[List[PromptPlaceholder]] = None,
-        options: Optional[AiCallOptions] = None
-        ) -> str:
+        options: Optional[AiCallOptions] = None,
+        outputFormat: Optional[str] = None,
+        title: Optional[str] = None
+        ) -> Union[str, Dict[str, Any]]:
         """
         Unified AI call interface that automatically routes to appropriate handler.
         
@@ -716,9 +718,11 @@ class AiService:
             documents: Optional list of documents to process
             placeholders: Optional list of placeholder replacements for planning calls
             options: AI call configuration options
+            outputFormat: Optional output format (html, pdf, docx, txt, md, json, csv, xlsx) for document generation
+            title: Optional title for generated documents
         
         Returns:
-            AI response as string
+            AI response as string, or dict with documents if outputFormat is specified
             
         Raises:
             Exception: If all available models fail
@@ -740,6 +744,10 @@ class AiService:
         call_type = self._determineCallType(documents, options.operationType)
         options.callType = call_type
         
+        # Handle document generation with specific output format
+        if outputFormat:
+            return await self._callAiWithDocumentGeneration(prompt, documents, options, outputFormat, title)
+        
         if call_type == "planning":
             return await self._callAiPlanning(prompt, placeholders_dict, placeholders_meta, options)
         else:
@@ -849,6 +857,24 @@ class AiService:
             logger.debug(f"AI model selected (planning): {getattr(response, 'modelName', 'unknown')}")
         except Exception:
             pass
+        # Write full planning response as JSON dump when possible (no duplicates)
+        try:
+            import json
+            content = response.content
+            cleaned = content.strip()
+            if cleaned.startswith('```json'):
+                cleaned = cleaned[7:]
+            if cleaned.endswith('```'):
+                cleaned = cleaned[:-3]
+            cleaned = cleaned.strip()
+            obj = json.loads(cleaned)
+            self._writeTraceLog("AI Planning Raw Response", obj)
+        except Exception:
+            # Fallback to plain text once
+            try:
+                self._writeTraceLog("AI Planning Raw Response", response.content)
+            except Exception:
+                pass
         return response.content
 
     async def _callAiText(
@@ -943,27 +969,95 @@ class AiService:
         
         # Check size and reduce if needed
         full_prompt = prompt + "\n\n" + context if context else prompt
+        
+        # Add generic completeness guidance: first vs subsequent (based on presence of context)
+        try:
+            if context and context.strip():
+                # Subsequent calls with prior context: continue next part only
+                full_prompt += (
+                    "\n\nINSTRUCTIONS (COMPLETENESS):\n"
+                    "- Continue from where the previous content ended. Do NOT repeat earlier content.\n"
+                    "- If more parts are still needed after this response, append a final line exactly: 'CONTINUATION: true'.\n"
+                    "- If the content is now complete, append a final line exactly: 'CONTINUATION: false'.\n"
+                )
+            else:
+                # First call (no prior context): deliver full content or first part
+                full_prompt += (
+                    "\n\nINSTRUCTIONS (COMPLETENESS):\n"
+                    "- Deliver the complete content. Do NOT truncate.\n"
+                    "- If platform limits force truncation, provide the first complete section(s) only and append a final line exactly: 'CONTINUATION: true'.\n"
+                    "- If the entire content is fully included, append a final line exactly: 'CONTINUATION: false'.\n"
+                )
+        except Exception:
+            # Non-fatal if any issue building guidance
+            pass
         logger.debug(f"AI call: {len(full_prompt)} chars (prompt: {len(prompt)}, context: {len(context)})")
         
         # Use AiObjects to select the best model and make the call
         try:
-            # Create AI call request
+            # Helper to detect and strip continuation flag
+            import re
+            def _split_content_and_flag(text: str) -> (str, bool):
+                if not text:
+                    return "", False
+                lines = text.strip().splitlines()
+                cont = False
+                # Scan last 3 lines for flag to be robust
+                for i in range(1, min(4, len(lines))+1):
+                    m = re.match(r"^\s*CONTINUATION:\s*(true|false)\s*$", lines[-i].strip(), re.IGNORECASE)
+                    if m:
+                        cont = m.group(1).lower() == 'true'
+                        # remove the matched flag line
+                        del lines[-i]
+                        break
+                return "\n".join(lines).strip(), cont
+
+            # First call
             request = AiCallRequest(
                 prompt=full_prompt,
-                context="",  # Context is already included in the prompt
+                context="",
                 options=options
             )
-            
-            # Make the call using AiObjects (which handles model selection)
             response = await self.aiObjects.call(request)
             try:
                 logger.debug(f"AI model selected (text): {getattr(response, 'modelName', 'unknown')}")
             except Exception:
                 pass
-            logger.debug(f"=== AI RESPONSE ===")
-            logger.debug(f"Response length: {len(response.content)} chars")
-            logger.debug(f"Response preview: {response.content[:200]}...")
-            return response.content
+            content_first = response.content or ""
+            merged_content, needs_more = _split_content_and_flag(content_first)
+
+            # Iteratively request next parts if flagged
+            max_parts = 10
+            part_index = 1
+            while needs_more and part_index < max_parts:
+                part_index += 1
+                # Build subsequent prompt with explicit continuation instructions
+                subsequent_prompt = (
+                    prompt
+                    + "\n\nINSTRUCTIONS (CONTINUE NEXT PART ONLY):\n"
+                      "- Continue from where the previous content ended.\n"
+                      "- Do NOT repeat earlier content.\n"
+                      "- Append a final line exactly: 'CONTINUATION: true' if more parts are needed, otherwise 'CONTINUATION: false'.\n"
+                )
+                next_request = AiCallRequest(
+                    prompt=subsequent_prompt,
+                    context=merged_content,
+                    options=options
+                )
+                next_response = await self.aiObjects.call(next_request)
+                part_text = next_response.content or ""
+                part_clean, needs_more = _split_content_and_flag(part_text)
+                if part_clean:
+                    # Separate parts clearly
+                    merged_content = (merged_content + "\n\n" + part_clean).strip()
+                else:
+                    # Avoid infinite loops on empty parts
+                    break
+
+            logger.debug(f"=== AI RESPONSE (MERGED) ===")
+            logger.debug(f"Response length: {len(merged_content)} chars")
+            logger.debug(f"Response preview: {merged_content[:200]}...")
+            return merged_content
             
         except Exception as e:
             logger.error(f"AI call failed: {e}")
@@ -1080,6 +1174,51 @@ class AiService:
         
         return full_prompt
 
+    def _writeTraceLog(self, contextText: str, data: Any) -> None:
+        """Write raw data to the central trace log file without truncation."""
+        try:
+            import os
+            import json
+            from datetime import datetime, UTC
+            # Only write if logger is in debug mode
+            if logger.level > logging.DEBUG:
+                return
+            # Get log directory from configuration via service center if possible
+            logDir = None
+            try:
+                if self.serviceCenter and hasattr(self.serviceCenter, 'utils'):
+                    logDir = self.serviceCenter.utils.configGet("APP_LOGGING_LOG_DIR", "./")
+            except Exception:
+                pass
+            if not logDir:
+                logDir = "./"
+            if not os.path.isabs(logDir):
+                # Make it relative to gateway directory
+                gatewayDir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+                logDir = os.path.join(gatewayDir, logDir)
+            os.makedirs(logDir, exist_ok=True)
+            traceFile = os.path.join(logDir, "log_trace.log")
+            timestamp = datetime.now(UTC).strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]
+            traceEntry = f"[{timestamp}] {contextText}\n" + ("=" * 80) + "\n"
+            if data is None:
+                traceEntry += "No data provided\n"
+            else:
+                # Prefer exact text; if dict/list, pretty print JSON
+                try:
+                    if isinstance(data, (dict, list)):
+                        traceEntry += f"JSON Data:\n{json.dumps(data, indent=2, ensure_ascii=False)}\n"
+                    else:
+                        text = str(data)
+                        traceEntry += f"Text Data:\n{text}\n"
+                except Exception:
+                    traceEntry += f"Data (fallback): {str(data)}\n"
+            traceEntry += ("=" * 80) + "\n\n"
+            with open(traceFile, "a", encoding="utf-8") as f:
+                f.write(traceEntry)
+        except Exception:
+            # Swallow to avoid recursive logging issues
+            pass
+
     def _exceedsTokenLimit(self, text: str, model: ModelCapabilities, safety_margin: float) -> bool:
         """
         Check if text exceeds model token limit with safety margin.
@@ -1169,4 +1308,88 @@ class AiService:
         target_length = int(len(text) * reduction_factor)
         return text[:target_length] + "... [reduced]"
 
+    async def _callAiWithDocumentGeneration(
+        self,
+        prompt: str,
+        documents: Optional[List[ChatDocument]],
+        options: AiCallOptions,
+        outputFormat: str,
+        title: Optional[str]
+        ) -> Dict[str, Any]:
+        """
+        Handle AI calls with document generation in specific output format.
+        
+        Args:
+            prompt: The main prompt for the AI call
+            documents: Optional list of documents to process
+            options: AI call configuration options
+            outputFormat: Target output format (html, pdf, docx, txt, md, json, csv, xlsx)
+            title: Optional title for generated documents
+        
+        Returns:
+            Dict with generated documents and metadata
+        """
+        try:
+            # Get format-specific extraction prompt from generation service
+            from modules.services.serviceGeneration.mainServiceGeneration import GenerationService
+            generation_service = GenerationService(self.serviceCenter)
+            
+            # Use default title if not provided
+            if not title:
+                title = "AI Generated Document"
+            
+            # Get format-specific extraction prompt
+            extraction_prompt = generation_service.getExtractionPrompt(
+                output_format=outputFormat,
+                user_prompt=prompt,
+                title=title
+            )
+            
+            # Process documents with format-specific prompt
+            ai_response = await self._callAiText(extraction_prompt, documents, options)
+            
+            if not ai_response or ai_response.strip() == "":
+                raise Exception("AI content generation failed")
+            
+            # Render the content to the specified format
+            rendered_content, mime_type = await generation_service.renderReport(
+                extracted_content=ai_response,
+                output_format=outputFormat,
+                title=title
+            )
+            
+            # Generate meaningful filename
+            from datetime import datetime, UTC
+            timestamp = datetime.now(UTC).strftime("%Y%m%d-%H%M%S")
+            filename = f"{title.replace(' ', '_')}_{timestamp}.{outputFormat}"
+            
+            # Return structured result with document information
+            return {
+                "success": True,
+                "content": ai_response,  # Raw AI response
+                "rendered_content": rendered_content,  # Formatted content
+                "mime_type": mime_type,
+                "filename": filename,
+                "format": outputFormat,
+                "title": title,
+                "documents": [{
+                    "documentName": filename,
+                    "documentData": rendered_content,
+                    "mimeType": mime_type
+                }]
+            }
+            
+        except Exception as e:
+            logger.error(f"Error in document generation: {str(e)}")
+            return {
+                "success": False,
+                "error": str(e),
+                "content": "",
+                "rendered_content": "",
+                "mime_type": "text/plain",
+                "filename": f"error_{outputFormat}",
+                "format": outputFormat,
+                "title": title or "Error",
+                "documents": []
+            }
 

modules/workflows/methods/methodAi.py

@@ -30,27 +30,22 @@ class MethodAi(MethodBase):
     @action
     async def process(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        AI data delivery and analysis - returns plain text only, NO document generation
-        
-        USE FOR: Data delivery, analysis, research, Q&A, summarization, translation
-        DO NOT USE FOR: Code generation, creating formatted documents (Word, PDF, Excel), document generation, file creation
-        
-        INPUT REQUIREMENTS: Requires aiPrompt parameter (what to deliver)
-        OUTPUT FORMAT: Plain text only (.txt, .json, .md, .csv, .xml) - NO binary files
-        DEPENDENCIES: None - can work standalone
-        WORKFLOW POSITION: Use for data delivery, analysis, research, or text processing tasks
+        GENERAL:
+        - Purpose: AI-based analysis and content generation with optional document context.
+        - Input requirements: aiPrompt (required); optional documentList, resultType, processingMode, includeMetadata, operationType, priority, maxCost, maxProcessingTime, requiredTags.
+        - Output format: Single or multiple documents in requested format.
 
         Parameters:
-            aiPrompt (str): The AI prompt for what we want to have delivered
-            documentList (list, optional): List of document references to include in context
-            resultType (str, optional): Output format type - use 'txt', 'json', 'md', 'csv', or 'xml' (defaults to 'txt')
-            processingMode (str, optional): Processing mode - use 'basic', 'advanced', or 'detailed' (defaults to 'basic')
-            includeMetadata (bool, optional): Whether to include metadata (default: True)
-            operationType (str, optional): Operation type - use 'general', 'generate_plan', 'analyse_content', 'generate_content', 'web_research', 'image_analysis', or 'image_generation'
-            priority (str, optional): Priority level - use 'speed', 'quality', 'cost', or 'balanced'
-            maxCost (float, optional): Maximum cost budget for the AI call
-            maxProcessingTime (int, optional): Maximum processing time in seconds
-            requiredTags (list, optional): Required model tags - use 'text', 'chat', 'reasoning', 'analysis', 'image', 'vision', 'web', 'search', etc.
+        - aiPrompt (str, required): Instruction for the AI.
+        - documentList (list, optional): Document reference(s) for context.
+        - resultType (str, optional): Output extension (txt, json, md, csv, xml, html, pdf, docx, xlsx, png). Default: txt.
+        - processingMode (str, optional): basic | advanced | detailed. Default: basic.
+        - includeMetadata (bool, optional): Include metadata when available. Default: True.
+        - operationType (str, optional): general | generate_plan | analyse_content | generate_content | web_research | image_analysis | image_generation. Default: general.
+        - priority (str, optional): speed | quality | cost | balanced. Default: balanced.
+        - maxCost (float, optional): Cost limit.
+        - maxProcessingTime (int, optional): Time limit in seconds.
+        - requiredTags (list, optional): Capability tags (e.g., text, chat, reasoning, analysis, image, vision, web, search).
         """
         try:
             # Debug logging to see what parameters are received
@@ -79,24 +74,11 @@ class MethodAi(MethodBase):
                     error="AI prompt is required"
                 )
             
-            # Validate and determine output format
-            valid_result_types = ["txt", "json", "md", "csv", "xml"]
-            if resultType not in valid_result_types:
-                return ActionResult.isFailure(
-                    error=f"Invalid resultType '{resultType}'. Must be one of: {', '.join(valid_result_types)}"
-                )
-            
-            # Map resultType to file extension and MIME type
-            format_mapping = {
-                "txt": (".txt", "text/plain"),
-                "json": (".json", "application/json"),
-                "md": (".md", "text/markdown"),
-                "csv": (".csv", "text/csv"),
-                "xml": (".xml", "application/xml")
-            }
-            
-            output_extension, output_mime_type = format_mapping[resultType]
-            logger.info(f"Using result type: {resultType} -> {output_extension} ({output_mime_type})")
+            # Determine output extension and default MIME type without duplicating service logic
+            normalized_result_type = (str(resultType).strip().lstrip('.').lower() or "txt")
+            output_extension = f".{normalized_result_type}"
+            output_mime_type = "application/octet-stream"  # Prefer service-provided mimeType when available
+            logger.info(f"Using result type: {resultType} -> {output_extension}")
             
             # Get ChatDocuments for AI service - let AI service handle all document processing
             chatDocuments = []
@@ -117,57 +99,11 @@ class MethodAi(MethodBase):
             # Note: customInstructions parameter was removed as it's not defined in the method signature
             
             # Add format guidance to prompt
-            if resultType != "txt":
-                enhanced_prompt += f"\n\nPlease deliver the result in {resultType.upper()} format. Ensure the output follows the proper {resultType.upper()} syntax and structure."
-            
-            # Call AI service - it will handle all document processing internally
-            logger.info(f"Executing AI call with mode: {processingMode}, prompt length: {len(enhanced_prompt)}")
-            if chatDocuments:
-                logger.info(f"Including {len(chatDocuments)} documents for AI processing")
-            
-            # Add format-specific instruction for structured response with continuation support
-            if resultType == "json":
-                format_instruction = """
-                
-Please return your response in the following JSON format:
-{{
-  "documents": [
-    {{
-      "data": "your actual content here",
-      "mimeType": "application/json",
-      "comment": "optional comment about content"
-    }}
-  ],
-  "continue": false
-}}
-
-The data field should contain valid JSON content.
-For large datasets, set "continue": true to indicate more data is coming, and we'll ask for the next chunk.
-"""
-            else:
-                format_instruction = f"""
-                
-Please return your response in the following JSON format:
-{{
-  "documents": [
-    {{
-      "data": "your actual content here in {resultType.upper()} format",
-      "mimeType": "{output_mime_type}",
-      "comment": "optional comment about content"
-    }}
-  ],
-  "continue": false
-}}
-
-The data field should contain the content in {resultType.upper()} format.
-For large datasets, set "continue": true to indicate more data is coming, and we'll ask for the next chunk.
-"""
-            
-            call_prompt = enhanced_prompt + format_instruction
+            if normalized_result_type != "txt":
+                enhanced_prompt += f"\n\nPlease deliver the result in {normalized_result_type.upper()} format. Ensure the output follows the proper {normalized_result_type.upper()} syntax and structure."
             
+            # Build options and delegate document handling to AI/Extraction/Generation services
             output_format = output_extension.replace('.', '') or 'txt'
-            
-            # Build options using new AiCallOptions format
             options = AiCallOptions(
                 operationType=operationType,
                 priority=priority,
@@ -181,195 +117,40 @@ For large datasets, set "continue": true to indicate more data is coming, and we
                 requiredTags=requiredTags
             )
 
-            # Use the new AI service that handles document processing internally
+            supported_generation_formats = {"html", "pdf", "docx", "txt", "md", "json", "csv", "xlsx"}
+            output_format_arg = output_format if output_format in supported_generation_formats else None
+
             result = await self.services.ai.callAi(
-                prompt=call_prompt,
+                prompt=enhanced_prompt,
                 documents=chatDocuments if chatDocuments else None,
-                options=options
+                options=options,
+                outputFormat=output_format_arg
             )
 
-            # DEBUG dump: write raw AI result to @testing_extraction/ TODO Remove
-            try:
-                import os
-                from datetime import datetime
-                debug_root = "./test-chat/extraction"
-                ts = datetime.now(UTC).strftime("%Y%m%d-%H%M%S")
-                debug_dir = os.path.join(debug_root, f"method_ai_{ts}")
-                os.makedirs(debug_dir, exist_ok=True)
-                with open(os.path.join(debug_dir, "raw_result.txt"), "w", encoding="utf-8") as f:
-                    f.write(str(result) if result is not None else "")
-            except Exception:
-                pass
-
-            # Parse JSON response from AI with streaming support
-            import json
-            import re
             from modules.datamodels.datamodelChat import ActionDocument
 
+            if isinstance(result, dict) and isinstance(result.get("documents"), list):
                 action_documents = []
-            all_data_chunks = []  # Store all data chunks for merging
+                for d in result["documents"]:
+                    action_documents.append(ActionDocument(
+                        documentName=d.get("documentName"),
+                        documentData=d.get("documentData"),
+                        mimeType=d.get("mimeType") or output_mime_type
+                    ))
+                return ActionResult.isSuccess(documents=action_documents)
 
-            try:
-                # Process streaming response
-                chunk_number = 0
-                continue_processing = True
-                current_result = result
-                
-                while continue_processing:
-                    chunk_number += 1
-                    logger.info(f"Processing AI response chunk {chunk_number}")
-                    
-                    # Clean up the response (remove markdown code blocks if present)
-                    cleaned_result = (current_result or "").strip()
-                    # Remove code fences anywhere in the text
-                    cleaned_result = re.sub(r"```json|```", "", cleaned_result).strip()
-
-                    # Try direct parse first
-                    try:
-                        parsed_response = json.loads(cleaned_result)
-                    except Exception:
-                        # Heuristic extraction: find the largest {...} block
-                        start = cleaned_result.find("{")
-                        end = cleaned_result.rfind("}")
-                        if start != -1 and end != -1 and end > start:
-                            candidate = cleaned_result[start:end+1]
-                            # Remove trailing commas before closing braces/brackets
-                            candidate = re.sub(r",\s*([}\]])", r"\1", candidate)
-                            parsed_response = json.loads(candidate)
-                        else:
-                            # Try extracting a JSON code block via regex as last resort
-                            match = re.search(r"\{[\s\S]*\}", cleaned_result)
-                            if match:
-                                candidate = re.sub(r",\s*([}\]])", r"\1", match.group(0))
-                                parsed_response = json.loads(candidate)
-                            else:
-                                raise
-                    
-                    # Check if we should continue
-                    continue_processing = parsed_response.get("continue", False)
-                    
-                    # Extract documents from response
-                    if isinstance(parsed_response, dict) and "documents" in parsed_response:
-                        for doc in parsed_response["documents"]:
-                            if isinstance(doc, dict):
-                                all_data_chunks.append(doc.get("data", ""))
-                    
-                    # If we need to continue, ask for the next chunk
-                    if continue_processing:
-                        logger.info(f"AI indicated more data coming, requesting chunk {chunk_number + 1}")
-                        
-                        # Build context from previous chunks
-                        previous_data_summary = ""
-                        if all_data_chunks:
-                            # Show a summary of what was already provided
-                            total_chars = sum(len(str(chunk)) for chunk in all_data_chunks)
-                            previous_data_summary = f"""
-CONTEXT: You have already provided {len(all_data_chunks)} chunks of data ({total_chars} characters total).
-The last chunk contained: {str(all_data_chunks[-1])[:200]}{'...' if len(str(all_data_chunks[-1])) > 200 else ''}
-
-Please continue with the next chunk, ensuring no duplication of previous data.
-"""
-                        
-                        continuation_prompt = f"""
-{previous_data_summary}
-
-Please continue with the next chunk of data. Return the same JSON format:
-{{
-  "documents": [
-    {{
-      "data": "next chunk of data here",
-      "mimeType": "{output_mime_type}",
-      "comment": "chunk {chunk_number + 1}"
-    }}
-  ],
-  "continue": false
-}}
-
-Set "continue": false when this is the final chunk.
-"""
-                        
-                        # Make another AI call for the next chunk
-                        current_result = await self.services.ai.callAi(
-                            prompt=continuation_prompt,
-                            options=options
-                        )
-                        
-                        if not current_result:
-                            logger.warning("No response for continuation chunk, stopping")
-                            break
-                
-                # Merge all data chunks into final documents using intelligent merging
-                if all_data_chunks:
-                    merged_data = self._mergeDataChunks(all_data_chunks, resultType, output_mime_type)
-                    
-                    # Create final merged document
             extension = output_extension.lstrip('.')
             meaningful_name = self._generateMeaningfulFileName(
                 base_name="ai",
                 extension=extension,
                 action_name="result"
             )
-                    
-                    action_documents.append(ActionDocument(
-                        documentName=meaningful_name,
-                        documentData=merged_data,
-                        mimeType=output_mime_type
-                    ))
-                else:
-                    # Fallback: create single document from raw result
-                    extension = output_extension.lstrip('.')
-                    meaningful_name = self._generateMeaningfulFileName(
-                        base_name="ai",
-                        extension=extension,
-                        action_name="result"
-                    )
-                    action_documents.append(ActionDocument(
+            action_document = ActionDocument(
                 documentName=meaningful_name,
                 documentData=result,
                 mimeType=output_mime_type
-                    ))
-                    
-            except Exception as e:
-                # Fallback: create single document with raw result
-                logger.warning(f"Failed to parse AI response as JSON: {str(e)}")
-                extension = output_extension.lstrip('.')  # Remove leading dot
-                meaningful_name = self._generateMeaningfulFileName(
-                    base_name="ai",
-                    extension=extension,
-                    action_name="result"
-                )
-                action_documents.append(ActionDocument(
-                    documentName=meaningful_name,
-                    documentData=result,
-                    mimeType=output_mime_type
-                ))
-            
-            # DEBUG dump: write parsed documents to files in the same debug folder
-            try:
-                # Reuse the same debug_dir if created above; otherwise create a new one
-                import os
-                from datetime import datetime
-                debug_root = "./test-chat/extraction"
-                ts = datetime.now(UTC).strftime("%Y%m%d-%H%M%S")
-                debug_dir = os.path.join(debug_root, f"method_ai_{ts}")
-                os.makedirs(debug_dir, exist_ok=True)
-                # Write a summary and individual documents
-                summary_lines: List[str] = [f"documents: {len(action_documents)}"]
-                for i, doc in enumerate(action_documents, 1):
-                    summary_lines.append(f"doc[{i}]: name={doc.documentName}, mimeType={doc.mimeType}")
-                    safe_name = doc.documentName or f"doc_{i:03d}.txt"
-                    fpath = os.path.join(debug_dir, safe_name)
-                    with open(fpath, "w", encoding="utf-8") as f:
-                        f.write(str(doc.documentData) if doc.documentData is not None else "")
-                with open(os.path.join(debug_dir, "summary.txt"), "w", encoding="utf-8") as f:
-                    f.write("\n".join(summary_lines))
-            except Exception:
-                pass
-
-            # Return result in the standard ActionResult format with parsed documents
-            return ActionResult.isSuccess(
-                documents=action_documents
             )
+            return ActionResult.isSuccess(documents=[action_document])
             
         except Exception as e:
             logger.error(f"Error in AI processing: {str(e)}")
@@ -380,28 +161,23 @@ Set "continue": false when this is the final chunk.
     @action
     async def webResearch(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Comprehensive web research and information gathering from the internet
-        
-        USE FOR: Finding current information, researching topics, gathering external data, fact-checking, market research
-        DO NOT USE FOR: Processing local documents, creating formatted reports, email operations
-        
-        INPUT REQUIREMENTS: Requires user_prompt parameter (the research question or topic to investigate)
-        OUTPUT FORMAT: JSON with research results, sources, and analysis
-        DEPENDENCIES: Requires internet connection and web search capabilities
-        WORKFLOW POSITION: Use when external information is needed, before document processing
+        GENERAL:
+        - Purpose: Web research and information gathering with basic analysis and sources.
+        - Input requirements: user_prompt (required); optional urls, max_results, max_pages, search_depth, extract_depth, pages_search_depth, country, time_range, topic, language.
+        - Output format: JSON with results and sources.
 
         Parameters:
-            user_prompt (str): The research question or topic to investigate - describe what information you want to find
-            urls (list, optional): Specific URLs to crawl instead of searching
-            max_results (int, optional): Maximum search results (default: 10)
-            max_pages (int, optional): Maximum pages to crawl (default: 10)
-            search_depth (str, optional): Tavily search depth - MUST be 'basic' or 'advanced' (default: 'basic')
-            extract_depth (str, optional): Tavily extract depth - MUST be 'basic' or 'advanced' (default: 'advanced')
-            pages_search_depth (int, optional): How deep to crawl - 1=main pages only, 2=main+sub-pages, 3=main+sub+sub-sub, etc. (default: 2)
-            country (str, optional): Country code for search bias (e.g., 'CH', 'US', 'DE')
-            time_range (str, optional): Time range for search - Use 'd' (day), 'w' (week), 'm' (month), 'y' (year) if needed, otherwise OMIT this parameter entirely
-            topic (str, optional): Search topic - Use 'general', 'news', or 'academic' if needed, otherwise OMIT this parameter entirely
-            language (str, optional): Language code (e.g., 'de', 'en', 'fr')
+        - user_prompt (str, required): Research question or topic.
+        - urls (list, optional): Specific URLs to crawl.
+        - max_results (int, optional): Max search results. Default: 10.
+        - max_pages (int, optional): Max pages to crawl per site. Default: 10.
+        - search_depth (str, optional): basic | advanced. Default: basic.
+        - extract_depth (str, optional): basic | advanced. Default: advanced.
+        - pages_search_depth (int, optional): Crawl depth level. Default: 2.
+        - country (str, optional): Country code for bias.
+        - time_range (str, optional): d | w | m | y.
+        - topic (str, optional): general | news | academic.
+        - language (str, optional): Language code (e.g., de, en, fr).
         """
         try:
             user_prompt = parameters.get("user_prompt")

modules/workflows/methods/methodBase.py

@@ -130,6 +130,9 @@ class MethodBase:
                         # Extract parameter name and type
                         if '(' in paramPart:
                             paramName = paramPart.split('(')[0].strip()
+                            # Normalize bullet-prefixed parameter names like "- aiPrompt" or "* aiPrompt"
+                            if paramName.startswith('-') or paramName.startswith('*'):
+                                paramName = paramName[1:].strip()
                             paramType = paramPart[paramPart.find('(')+1:paramPart.find(')')].strip()
                             descriptions[paramName] = descPart
                             types[paramName] = paramType

modules/workflows/methods/methodDocument.py

@@ -31,25 +31,20 @@ class MethodDocument(MethodBase):
     @action
     async def extract(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Extract and analyze content from existing documents using AI
-        
-        USE FOR: Analyzing documents, extracting specific information, summarizing content, finding patterns, data extraction
-        DO NOT USE FOR: Creating new documents, generating reports, web research, email operations
-        
-        INPUT REQUIREMENTS: Requires documentList (existing documents) and prompt (what to extract)
-        OUTPUT FORMAT: Plain text extracted content (.txt files)
-        DEPENDENCIES: Requires existing documents in documentList parameter
-        WORKFLOW POSITION: Use after documents are available, before generating reports
+        GENERAL:
+        - Purpose: Extract and analyze content from existing documents using AI.
+        - Input requirements: documentList (required); prompt (required).
+        - Output format: Plain text per source document (.txt by default).
 
         Parameters:
-            documentList (list): Document list reference(s) - List of document references to extract content from
-            prompt (str): AI prompt for extraction - Specific prompt describing what content to extract and how to process it
-            operationType (str, optional): Type of operation - Use 'extract_content', 'analyze_document', 'summarize_content', etc. (default: 'extract_content')
-            processDocumentsIndividually (bool, optional): Process each document separately - Set to True for individual processing, False for batch processing (default: True)
-            chunkAllowed (bool, optional): Allow content chunking - Set to True to allow AI service to chunk large content, False to process as-is (default: True)
-            mergeStrategy (dict, optional): Strategy for merging results - Specify how to merge chunked content: groupBy, orderBy, mergeType (default: concatenate)
-            expectedDocumentFormats (list, optional): Expected output formats - List of format specifications with extension, mimeType, description
-            includeMetadata (bool, optional): Include document metadata - Set to True to include file metadata in results (default: True)
+        - documentList (list, required): Document reference(s) to extract from.
+        - prompt (str, required): Instruction describing what to extract.
+        - operationType (str, optional): extract_content | analyze_document | summarize_content. Default: extract_content.
+        - processDocumentsIndividually (bool, optional): Process each document separately. Default: True.
+        - chunkAllowed (bool, optional): Allow chunking for large inputs. Default: True.
+        - mergeStrategy (dict, optional): Merge strategy for chunked content.
+        - expectedDocumentFormats (list, optional): Desired output format specs.
+        - includeMetadata (bool, optional): Include file metadata. Default: True.
         """
         try:
             documentList = parameters.get("documentList")
@@ -83,16 +78,14 @@ class MethodDocument(MethodBase):
                     error="No documents found for the provided reference"
                 )
             
-            # Use new extraction service with ChatDocument objects
+            # Use enhanced AI service with integrated extraction
             try:
-                # Build extraction options directly from AI planner parameters
-                extraction_options = {
-                    "prompt": prompt,
-                    "operationType": operationType,
-                    "processDocumentsIndividually": processDocumentsIndividually,
-                    "chunkAllowed": chunkAllowed,
-                    "mergeStrategy": mergeStrategy
-                }
+                # Build AI call options
+                ai_options = AiCallOptions(
+                    operationType=operationType,
+                    processDocumentsIndividually=processDocumentsIndividually,
+                    compressContext=not chunkAllowed
+                )
                 
                 # Add format instructions to prompt if expected formats are provided
                 enhanced_prompt = prompt
@@ -108,54 +101,30 @@ class MethodDocument(MethodBase):
                         enhanced_prompt += f"\n\nPlease format the output as: {', '.join([fmt.get('extension', '.txt') for fmt in expectedDocumentFormats])}"
                         enhanced_prompt += f"\nExpected formats:\n" + "\n".join(format_instructions)
                 
-                    extraction_options["expectedDocumentFormats"] = expectedDocumentFormats
-                
-                extraction_options["prompt"] = enhanced_prompt
-                
-                if not includeMetadata:
-                    extraction_options["includeMetadata"] = False
-                
-                # Use new extraction service API
-                all_extracted_content = self.services.extraction.extractContent(
+                # Use enhanced AI service for extraction
+                ai_response = await self.services.ai.callAi(
+                    prompt=enhanced_prompt,
                     documents=chatDocuments,
-                    options=extraction_options
+                    options=ai_options
                 )
                 
-                logger.info(f"Extraction completed: {len(all_extracted_content)} documents processed")
+                logger.info(f"AI extraction completed: {len(ai_response)} characters")
                 
             except Exception as e:
-                logger.error(f"Extraction failed: {str(e)}")
-                all_extracted_content = []
+                logger.error(f"AI extraction failed: {str(e)}")
+                ai_response = ""
             
-            if not all_extracted_content:
+            if not ai_response or ai_response.strip() == "":
                 return ActionResult.isFailure(
                     error="No content could be extracted from any documents"
                 )
             
-            # Process each document individually with its own format conversion
+            # Process each document individually with extracted content
             action_documents = []
             
             for i, chatDocument in enumerate(chatDocuments):
-                # Extract text content from this document using new extracted content structure
-                text_content = ""
-                try:
-                    ec = all_extracted_content[i] if i < len(all_extracted_content) else None
-                    if ec and hasattr(ec, 'parts'):
-                        text_parts = []
-                        for part in ec.parts:
-                            try:
-                                if part.typeGroup in ("text", "table", "structure") and part.data:
-                                    text_parts.append(part.data)
-                            except Exception:
-                                continue
-                        text_content = "\n".join(text_parts)
-                    else:
-                        text_content = ""
-                except Exception:
-                    text_content = ""
-                
-                # Use the extracted content directly - format conversion is handled by extraction service
-                final_content = text_content
+                # Use the AI response directly - it already contains processed content
+                final_content = ai_response
                 final_mime_type = "text/plain"
                 final_extension = ".txt"
                 
@@ -193,26 +162,21 @@ class MethodDocument(MethodBase):
     @action
     async def generate(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Generate formatted documents and reports from source documents - creates actual files (Word, PDF, Excel, etc.)
-        
-        USE FOR: Creating formatted documents, reports, presentations, spreadsheets, structured outputs, professional documents
-        DO NOT USE FOR: Simple text analysis, Q&A, web research, email operations
-        
-        INPUT REQUIREMENTS: Requires documentList (source documents) and prompt (what kind of report to generate)
-        OUTPUT FORMAT: Formatted documents (.html, .pdf, .docx, .txt, .md, .json, .csv, .xlsx)
-        DEPENDENCIES: Requires existing documents in documentList parameter
-        WORKFLOW POSITION: Use after document analysis, as final output generation step
+        GENERAL:
+        - Purpose: Generate formatted documents and reports from source documents.
+        - Input requirements: documentList (required); prompt (required); optional title and outputFormat.
+        - Any output format, e.g.: html | pdf | docx | txt | md | json | csv | xlsx
 
         Parameters:
-            documentList (list): Document list reference(s) - List of document references to include in report
-            prompt (str): AI prompt for report generation - Specific prompt describing what kind of report to generate
-            title (str): Report title - Title for the generated report (default: "Summary Report")
-            outputFormat (str): Output format extension - Specify the desired output format: 'html', 'pdf', 'docx', 'txt', 'md', 'json', 'csv', 'xlsx' (default: 'html')
-            operationType (str, optional): Type of operation - Use 'generate_report', 'analyze_documents', etc. (default: 'generate_report')
-            processDocumentsIndividually (bool, optional): Process each document separately - Set to True for individual processing (default: True)
-            chunkAllowed (bool, optional): Allow content chunking - Set to True to allow AI service to chunk large content (default: True)
-            mergeStrategy (dict, optional): Strategy for merging results - Specify how to merge content for report generation (default: concatenate)
-            includeMetadata (bool, optional): Include document metadata - Set to True to include file metadata in results (default: True)
+        - documentList (list, required): Document reference(s) to include as context.
+        - prompt (str, required): Instruction describing the desired document/report.
+        - title (str, optional): Title for the generated document. Default: "Summary Report".
+        - outputFormat (str, optional): html | pdf | docx | txt | md | json | csv | xlsx. Default: html.
+        - operationType (str, optional): generate_report | analyze_documents. Default: generate_report.
+        - processDocumentsIndividually (bool, optional): Process per document. Default: True.
+        - chunkAllowed (bool, optional): Allow chunking for large inputs. Default: True.
+        - mergeStrategy (dict, optional): Merging rules for multi-part generation.
+        - includeMetadata (bool, optional): Include file metadata. Default: True.
         """
         try:
             documentList = parameters.get("documentList")
@@ -249,155 +213,54 @@ class MethodDocument(MethodBase):
                     error="No documents found for the provided reference"
                 )
             
-            # Generate report using the new format handling system
-            report_content, mime_type = await self._generateReport(
-                chatDocuments, title, outputFormat, includeMetadata, prompt
+            # Use enhanced AI service with document generation
+            try:
+                # Build AI call options
+                ai_options = AiCallOptions(
+                    operationType=operationType,
+                    processDocumentsIndividually=processDocumentsIndividually,
+                    compressContext=not chunkAllowed
                 )
                 
-            # Create meaningful output fileName with workflow context
-            output_fileName = self._generateMeaningfulFileName(
-                base_name="report",
-                extension=outputFormat,
-                action_name="generate"
+                # Use enhanced AI service with document generation
+                result = await self.services.ai.callAi(
+                    prompt=prompt,
+                    documents=chatDocuments,
+                    options=ai_options,
+                    outputFormat=outputFormat,
+                    title=title
                 )
                 
-            logger.info(f"Generated {outputFormat.upper()} report: {output_fileName} with {len(report_content)} characters")
+                if isinstance(result, dict) and result.get("success"):
+                    # Extract document information from result
+                    documents = result.get("documents", [])
+                    if documents:
+                        # Convert to ActionDocument format
+                        action_documents = []
+                        for doc in documents:
+                            action_documents.append(ActionDocument(
+                                documentName=doc["documentName"],
+                                documentData=doc["documentData"],
+                                mimeType=doc["mimeType"]
+                            ))
+                        
+                        logger.info(f"Generated {outputFormat.upper()} report: {len(action_documents)} documents")
+                        return ActionResult.isSuccess(documents=action_documents)
+                    else:
+                        return ActionResult.isFailure(error="No documents generated")
+                else:
+                    error_msg = result.get("error", "Unknown error") if isinstance(result, dict) else "AI generation failed"
+                    return ActionResult.isFailure(error=error_msg)
+                
+            except Exception as e:
+                logger.error(f"AI generation failed: {str(e)}")
+                return ActionResult.isFailure(error=str(e))
             
-            return ActionResult.isSuccess(
-                documents=[ActionDocument(
-                    documentName=output_fileName,
-                    documentData=report_content,
-                    mimeType=mime_type
-                )]
-            )
         except Exception as e:
             logger.error(f"Error generating report: {str(e)}")
             return ActionResult.isFailure(
                 error=str(e)
             )
 
-    async def _generateReport(self, chatDocuments: List[Any], title: str, outputFormat: str, includeMetadata: bool, prompt: str) -> tuple[str, str]:
-        """
-        Generate a report in the specified format using format-specific extraction:
-        1. Get format-specific extraction prompt from renderer
-        2. Extract content using AI with format-specific prompt
-        3. Clean and return the formatted content
-        """
-        try:
-            # Get format-specific extraction prompt
-            from modules.services.serviceGeneration.mainServiceGeneration import GenerationService
-            generation_service = GenerationService(self.services)
-            
-            extraction_prompt = generation_service.getExtractionPrompt(
-                output_format=outputFormat,
-                user_prompt=prompt,
-                title=title
-            )
-            
-            # Extract content using format-specific prompt
-            extracted_content = await self._extractContentWithPrompt(
-                chatDocuments, extraction_prompt, includeMetadata
-            )
-            
-            # Render the extracted content (mostly just cleaning)
-            rendered_content, mime_type = await generation_service.renderReport(
-                extracted_content=extracted_content,
-                output_format=outputFormat,
-                title=title
-            )
-            
-            return rendered_content, mime_type
-            
-        except Exception as e:
-            logger.error(f"Error generating report: {str(e)}")
-            # Fallback to simple text format
-            fallback_content = f"# {title}\n\nError generating report: {str(e)}"
-            return fallback_content, "text/plain"
-
-    async def _extractContentWithPrompt(self, chatDocuments: List[Any], extraction_prompt: str, includeMetadata: bool) -> str:
-        """
-        Extract content from documents using a specific extraction prompt.
-        """
-        try:
-            # Use extraction service directly with format-specific prompt and all documents
-            logger.info(f"Extracting content with format-specific prompt for {len(chatDocuments)} documents")
-            
-            # Build extraction options for report generation
-            extraction_options = {
-                "prompt": extraction_prompt,
-                "operationType": "generate_report",
-                "processDocumentsIndividually": True,
-                "chunkAllowed": True,
-                "mergeStrategy": {
-                    "groupBy": "typeGroup",
-                    "orderBy": "id", 
-                    "mergeType": "concatenate"
-                }
-            }
-            
-            if not includeMetadata:
-                extraction_options["includeMetadata"] = False
-            
-            # Extract content using extraction service with format-specific prompt
-            extracted_list = self.services.extraction.extractContent(
-                documents=chatDocuments,
-                options=extraction_options
-            )
-            
-            if not extracted_list:
-                logger.warning("No content extracted from documents")
-                return "No readable content found in documents"
-            
-            # The extraction service should return format-specific content directly
-            # Combine all extracted content
-            all_extracted_content = []
-            for ec in extracted_list:
-                if ec and hasattr(ec, 'parts'):
-                    for part in ec.parts:
-                        try:
-                            if part.typeGroup in ("text", "table", "structure") and part.data:
-                                all_extracted_content.append(part.data)
-                        except Exception:
-                            continue
-            
-            if not all_extracted_content:
-                logger.warning("No readable content found in extracted results")
-                return "No readable content found in documents"
-            
-            # Join all extracted content
-            combined_content = "\n\n".join(all_extracted_content)
-            
-            if not combined_content or combined_content.strip() == "":
-                logger.error("No content extracted from documents")
-                raise Exception("No content extracted from documents")
-            
-            # Call AI service to process the content with the format-specific prompt
-            logger.info(f"Calling AI service to process {len(combined_content)} characters with prompt")
-            aiResponse = await self.services.ai.callAi(
-                prompt=extraction_prompt,
-                documents=chatDocuments,  # Pass the original ChatDocument objects
-                options=AiCallOptions(operationType=OperationType.GENERATE_CONTENT)
-            )
-            
-            if not aiResponse or aiResponse.strip() == "":
-                logger.error("AI content generation failed")
-                raise Exception("AI content generation failed")
-            
-            # Clean up the AI response
-            content = aiResponse.strip()
-            
-            # Remove markdown code blocks if present
-            if content.startswith("```") and content.endswith("```"):
-                lines = content.split('\n')
-                if len(lines) >= 2:
-                    content = '\n'.join(lines[1:-1]).strip()
-            
-            logger.info(f"Successfully generated format-specific content: {len(content)} characters")
-            return content
-                
-        except Exception as e:
-            logger.error(f"Error extracting content with prompt: {str(e)}")
-            # Return minimal fallback content
-            return f"Error extracting content: {str(e)}"
 
 

modules/workflows/methods/methodOutlook.py

@@ -292,22 +292,17 @@ class MethodOutlook(MethodBase):
     @action
     async def readEmails(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Read emails from Microsoft Outlook mailbox
-        
-        USE FOR: Reading emails from Outlook, checking mailbox contents, retrieving email data
-        DO NOT USE FOR: Sending emails, composing emails, web research, document generation
-        
-        INPUT REQUIREMENTS: Requires connectionReference (Microsoft connection)
-        OUTPUT FORMAT: JSON with email data and metadata
-        DEPENDENCIES: Requires Microsoft connection, requires internet access
-        WORKFLOW POSITION: Use for email analysis, before composing responses
+        GENERAL:
+        - Purpose: Read emails and metadata from a mailbox folder.
+        - Input requirements: connectionReference (required); optional folder, limit, filter, expectedDocumentFormats.
+        - Output format: JSON with emails and metadata.
 
         Parameters:
-            connectionReference (str): Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            folder (str, optional): Email folder to read from (default: "Inbox")
-            limit (int, optional): Maximum number of emails to read (default: 10)
-            filter (str, optional): Filter criteria for emails. Supports: Email address (e.g., "user@domain.com") - filters by sender, Search queries (e.g., "from:user@domain.com", "subject:meeting"), Text content (e.g., "project update") - searches in subject
-            expectedDocumentFormats (list, optional): Expected document formats with extension, mimeType, description
+        - connectionReference (str, required): Microsoft connection label.
+        - folder (str, optional): Folder to read from. Default: Inbox.
+        - limit (int, optional): Maximum items to return. Default: 10.
+        - filter (str, optional): Sender, query operators, or subject text.
+        - expectedDocumentFormats (list, optional): Output format preferences.
         """
         try:
             connectionReference = parameters.get("connectionReference")
@@ -451,22 +446,17 @@ class MethodOutlook(MethodBase):
     @action
     async def searchEmails(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Search emails in Microsoft Outlook mailbox
-        
-        USE FOR: Finding specific emails, searching mailbox contents, filtering email data
-        DO NOT USE FOR: Sending emails, composing emails, web research, document generation
-        
-        INPUT REQUIREMENTS: Requires connectionReference (Microsoft connection) and query (search terms)
-        OUTPUT FORMAT: JSON with search results and email data
-        DEPENDENCIES: Requires Microsoft connection, requires internet access
-        WORKFLOW POSITION: Use for finding specific emails, before reading or responding
+        GENERAL:
+        - Purpose: Search emails by query and return matching items with metadata.
+        - Input requirements: connectionReference (required); query (required); optional folder, limit, expectedDocumentFormats.
+        - Output format: JSON with search results and metadata.
 
         Parameters:
-            connectionReference (str): Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            query (str): Search query
-            folder (str, optional): Folder to search in (default: "All")
-            limit (int, optional): Maximum number of results (default: 20)
-            expectedDocumentFormats (list, optional): Expected document formats with extension, mimeType, description
+        - connectionReference (str, required): Microsoft connection label.
+        - query (str, required): Search expression.
+        - folder (str, optional): Folder scope or All. Default: All.
+        - limit (int, optional): Maximum items to return. Default: 20.
+        - expectedDocumentFormats (list, optional): Output format preferences.
         """
         try:
             connectionReference = parameters.get("connectionReference")
@@ -666,13 +656,16 @@ class MethodOutlook(MethodBase):
     
     async def listDrafts(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        List email drafts in Outlook
+        GENERAL:
+        - Purpose: List draft emails from a folder.
+        - Input requirements: connectionReference (required); optional folder, limit, expectedDocumentFormats.
+        - Output format: JSON with draft items and metadata.
 
         Parameters:
-            connectionReference (str): Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            folder (str, optional): Folder to search for drafts (default: "Drafts")
-            limit (int, optional): Maximum number of drafts to list (default: 20)
-            expectedDocumentFormats (list, optional): Expected document formats with extension, mimeType, description
+        - connectionReference (str, required): Microsoft connection label.
+        - folder (str, optional): Drafts folder to list. Default: Drafts.
+        - limit (int, optional): Maximum items to return. Default: 20.
+        - expectedDocumentFormats (list, optional): Output format preferences.
         """
         try:
             connectionReference = parameters.get("connectionReference")
@@ -789,12 +782,15 @@ class MethodOutlook(MethodBase):
     
     async def findDrafts(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Find email drafts across all folders in Outlook
+        GENERAL:
+        - Purpose: Find draft emails across folders.
+        - Input requirements: connectionReference (required); optional limit, expectedDocumentFormats.
+        - Output format: JSON with drafts and metadata.
 
         Parameters:
-            connectionReference (str): Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            limit (int, optional): Maximum number of drafts to find (default: 50)
-            expectedDocumentFormats (list, optional): Expected document formats with extension, mimeType, description
+        - connectionReference (str, required): Microsoft connection label.
+        - limit (int, optional): Maximum items to return. Default: 50.
+        - expectedDocumentFormats (list, optional): Output format preferences.
         """
         try:
             connectionReference = parameters.get("connectionReference")
@@ -926,12 +922,15 @@ class MethodOutlook(MethodBase):
     
     async def checkDraftsFolder(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Check the contents of the Drafts folder directly
+        GENERAL:
+        - Purpose: Check contents of the Drafts folder.
+        - Input requirements: connectionReference (required); optional limit, expectedDocumentFormats.
+        - Output format: JSON with drafts and metadata.
 
         Parameters:
-            connectionReference (str): Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            limit (int, optional): Maximum number of drafts to check (default: 20)
-            expectedDocumentFormats (list, optional): Expected document formats with extension, mimeType, description
+        - connectionReference (str, required): Microsoft connection label.
+        - limit (int, optional): Maximum items to return. Default: 20.
+        - expectedDocumentFormats (list, optional): Output format preferences.
         """
         try:
             connectionReference = parameters.get("connectionReference")
@@ -1041,24 +1040,19 @@ class MethodOutlook(MethodBase):
     @action
     async def composeAndSendEmailDirect(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Compose and send email directly with subject, body, and attachments
-        
-        USE FOR: When you have all email details ready and want to send directly
-        DO NOT USE FOR: When you need AI to generate email content from context
-        
-        INPUT REQUIREMENTS: Requires connectionReference, to, subject, body parameters
-        OUTPUT FORMAT: Email draft created successfully with confirmation
-        DEPENDENCIES: Requires Microsoft connection and recipient details
-        WORKFLOW POSITION: Use when you have complete email information ready to send
+        GENERAL:
+        - Purpose: Create and send/prepare email using provided subject, body, and recipients.
+        - Input requirements: connectionReference (required); to (required); subject (required); body (required); optional cc, bcc, attachmentDocumentList.
+        - Output format: JSON confirmation with draft/send metadata.
 
         Parameters:
-            connectionReference (str): REQUIRED - Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            to (List[str]): REQUIRED - Email recipient addresses
-            subject (str): REQUIRED - Email subject line
-            body (str): REQUIRED - Email body content
-            cc (List[str], optional): CC recipients
-            bcc (List[str], optional): BCC recipients
-            attachmentDocumentList (List[str], optional): Document references to include as email attachments
+        - connectionReference (str, required): Microsoft connection label.
+        - to (list, required): Recipient email addresses.
+        - subject (str, required): Email subject.
+        - body (str, required): Email body (plain text or HTML).
+        - cc (list, optional): CC recipients.
+        - bcc (list, optional): BCC recipients.
+        - attachmentDocumentList (list, optional): Attachment document references.
         """
         try:
             connectionReference = parameters.get("connectionReference")
@@ -1205,25 +1199,20 @@ class MethodOutlook(MethodBase):
     @action
     async def composeAndSendEmailWithContext(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Compose and send email using AI to generate subject and body from context and documents
-        
-        USE FOR: When you have context and documents but need AI to compose the email content
-        DO NOT USE FOR: When you already have complete email details ready
-        
-        INPUT REQUIREMENTS: Requires connectionReference, to, context, and optional documentList
-        OUTPUT FORMAT: Email draft created successfully with AI-generated content
-        DEPENDENCIES: Requires Microsoft connection, AI service, and context/documents
-        WORKFLOW POSITION: Use when you need AI to generate email content from available information
+        GENERAL:
+        - Purpose: Compose email content using AI from context and optional documents, then create a draft/send.
+        - Input requirements: connectionReference (required); to (required); context (required); optional documentList, cc, bcc, emailStyle, maxLength.
+        - Output format: JSON confirmation with AI-generated draft/send metadata.
 
         Parameters:
-            connectionReference (str): REQUIRED - Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            to (List[str]): REQUIRED - Email recipient addresses
-            context (str): REQUIRED - Context information for email composition
-            documentList (List[str], optional): Document references to include as context and attachments
-            cc (List[str], optional): CC recipients
-            bcc (List[str], optional): BCC recipients
-            emailStyle (str, optional): Email style (formal, casual, business) - default: "business"
-            maxLength (int, optional): Maximum length for generated content - default: 1000
+        - connectionReference (str, required): Microsoft connection label.
+        - to (list, required): Recipient email addresses.
+        - context (str, required): Context for composing the email.
+        - documentList (list, optional): Document references for context/attachments.
+        - cc (list, optional): CC recipients.
+        - bcc (list, optional): BCC recipients.
+        - emailStyle (str, optional): formal | casual | business. Default: business.
+        - maxLength (int, optional): Maximum length for generated content. Default: 1000.
         """
         try:
             connectionReference = parameters.get("connectionReference")
@@ -1457,10 +1446,13 @@ Make sure the email is:
     
     async def checkPermissions(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Check if the current Microsoft connection has the necessary permissions for Outlook operations.
+        GENERAL:
+        - Purpose: Verify that the connection has required permissions for Outlook operations.
+        - Input requirements: connectionReference (required).
+        - Output format: JSON with permission status and details.
 
         Parameters:
-            connectionReference (str): Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list) to check
+        - connectionReference (str, required): Microsoft connection label to check.
         """
         try:
             connectionReference = parameters.get("connectionReference")

modules/workflows/methods/methodSharepoint.py

@@ -443,21 +443,16 @@ class MethodSharepoint(MethodBase):
     @action
     async def findDocumentPath(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Find documents and folders by searching their names across SharePoint sites
-        
-        USE FOR: Locating SharePoint documents, finding folders, searching for specific files, discovering content
-        DO NOT USE FOR: Reading document content, uploading files, email operations, web research
-        
-        INPUT REQUIREMENTS: Requires connectionReference (Microsoft connection) and searchQuery (what to find)
-        OUTPUT FORMAT: JSON with found documents/folders and their paths
-        DEPENDENCIES: Requires Microsoft connection, requires internet access
-        WORKFLOW POSITION: Use first to locate documents, before readDocuments or uploadDocument
+        GENERAL:
+        - Purpose: Find documents and folders by name/path across sites.
+        - Input requirements: connectionReference (required); searchQuery (required); optional site, maxResults.
+        - Output format: JSON with found items and paths.
 
         Parameters:
-            connectionReference (str): Microsoft connection reference (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            site (str, optional): Site hint (e.g., "SSS", "KM XYZ")
-            searchQuery (str): Search query - "budget", "folders:alpha", "files:budget", "/Documents/Project1", "namepart1 namepart2 namepart3". Use "folders:" prefix when user wants to store files or find folders
-            maxResults (int, optional): Max results (default: 100)
+        - connectionReference (str, required): Microsoft connection label.
+        - site (str, optional): Site hint.
+        - searchQuery (str, required): Search terms or path.
+        - maxResults (int, optional): Maximum items to return. Default: 100.
         """
         try:
             connectionReference = parameters.get("connectionReference")
@@ -822,22 +817,17 @@ class MethodSharepoint(MethodBase):
     @action
     async def readDocuments(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Read documents from SharePoint and extract their content
-        
-        USE FOR: Reading SharePoint document content, extracting text from files, processing documents
-        DO NOT USE FOR: Finding documents, uploading files, email operations, web research
-        
-        INPUT REQUIREMENTS: Requires connectionReference (Microsoft connection) and documentList (from findDocumentPath)
-        OUTPUT FORMAT: Documents with extracted content and metadata
-        DEPENDENCIES: Requires Microsoft connection, requires documentList from findDocumentPath action
-        WORKFLOW POSITION: Use after findDocumentPath, before document analysis or generation
+        GENERAL:
+        - Purpose: Read documents from SharePoint and extract content/metadata.
+        - Input requirements: connectionReference (required); documentList (required); optional pathObject or pathQuery; includeMetadata.
+        - Output format: JSON with read results per document.
 
         Parameters:
-            documentList (list): Reference(s) to the document list to read
-            connectionReference (str): Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            pathObject (str, optional): Path object to locate documents. This can ONLY be a reference to a result from sharepoint.findDocumentPath action
-            pathQuery (str, optional): Path query to locate documents, only if no pathObject is provided (e.g., "/Documents/Project1", "*" for all sites)
-            includeMetadata (bool, optional): Whether to include metadata (default: True)
+        - documentList (list, required): Document list reference(s) to read.
+        - connectionReference (str, required): Microsoft connection label.
+        - pathObject (str, optional): Reference to a previous path result.
+        - pathQuery (str, optional): Path query if no pathObject.
+        - includeMetadata (bool, optional): Include metadata. Default: True.
         """
         try:
             documentList = parameters.get("documentList")
@@ -1106,22 +1096,17 @@ class MethodSharepoint(MethodBase):
     @action
     async def uploadDocument(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        Upload documents to SharePoint sites
-        
-        USE FOR: Uploading files to SharePoint, storing documents, saving generated content
-        DO NOT USE FOR: Reading documents, finding documents, email operations, web research
-        
-        INPUT REQUIREMENTS: Requires connectionReference (Microsoft connection), documentList (files to upload), and fileNames
-        OUTPUT FORMAT: JSON with upload status and file information
-        DEPENDENCIES: Requires Microsoft connection, requires documents to upload
-        WORKFLOW POSITION: Use after document generation, as final storage step
+        GENERAL:
+        - Purpose: Upload documents to SharePoint.
+        - Input requirements: connectionReference (required); documentList (required); fileNames (required); optional pathObject or pathQuery.
+        - Output format: JSON with upload status and file info.
 
         Parameters:
-            connectionReference (str): Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            pathObject (str, optional): Path object to locate documents. This can ONLY be a reference to a result from sharepoint.findDocumentPath action
-            pathQuery (str, optional): Path query to locate documents, only if no pathObject is provided (e.g., "/Documents/Project1", "*" for all sites)
-            documentList (list): Reference(s) to the document list to upload
-            fileNames (List[str]): List of names for the uploaded files
+        - connectionReference (str, required): Microsoft connection label.
+        - pathObject (str, optional): Reference to a previous path result.
+        - pathQuery (str, optional): Upload target path if no pathObject.
+        - documentList (list, required): Document reference(s) to upload.
+        - fileNames (list, required): Output file names.
         """
         try:
             connectionReference = parameters.get("connectionReference")
@@ -1466,21 +1451,16 @@ class MethodSharepoint(MethodBase):
     @action
     async def listDocuments(self, parameters: Dict[str, Any]) -> ActionResult:
         """
-        List documents in SharePoint folders across accessible sites
-        
-        USE FOR: Browsing SharePoint folders, listing available documents, exploring content structure
-        DO NOT USE FOR: Reading document content, uploading files, email operations, web research
-        
-        INPUT REQUIREMENTS: Requires connectionReference (Microsoft connection)
-        OUTPUT FORMAT: JSON with document list and folder structure
-        DEPENDENCIES: Requires Microsoft connection, requires internet access
-        WORKFLOW POSITION: Use for exploring SharePoint content, before findDocumentPath
+        GENERAL:
+        - Purpose: List documents and folders in SharePoint paths across sites.
+        - Input requirements: connectionReference (required); optional pathObject or pathQuery; includeSubfolders.
+        - Output format: JSON with folder items and metadata.
 
         Parameters:
-            connectionReference (str): Reference to the Microsoft connection (must be a connection label from AVAILABLE_CONNECTIONS_INDEX list)
-            pathObject (str, optional): Path object to locate documents. This can ONLY be a reference to a result from sharepoint.findDocumentPath action
-            pathQuery (str, optional): Path query to locate documents, only if no pathObject is provided (e.g., "/Documents/Project1", "*" for all sites)
-            includeSubfolders (bool, optional): Whether to include subfolders (default: False)
+        - connectionReference (str, required): Microsoft connection label.
+        - pathObject (str, optional): Reference to a previous path result.
+        - pathQuery (str, optional): Path query if no pathObject.
+        - includeSubfolders (bool, optional): Include one level of subfolders. Default: False.
         """
         try:
             connectionReference = parameters.get("connectionReference")

modules/workflows/processing/core/taskPlanner.py

@@ -7,10 +7,7 @@ from typing import Dict, Any
 from modules.datamodels.datamodelChat import TaskStep, TaskContext, TaskPlan
 from modules.datamodels.datamodelAi import AiCallOptions, OperationType, ProcessingMode, Priority
 from modules.workflows.processing.shared.promptGenerationTaskplan import (
-    createTaskPlanningPromptTemplate
-)
-from modules.workflows.processing.shared.placeholderFactory import (
-    extractUserPrompt
+    generateTaskPlanningPrompt
 )
 
 logger = logging.getLogger(__name__)
@@ -86,22 +83,10 @@ class TaskPlanner:
                 }
             )
             
-            # Generate the task planning prompt with placeholders
-            taskPlanningPromptTemplate = createTaskPlanningPromptTemplate()
-            
-            # Extract content for placeholders
-            userPrompt = extractUserPrompt(taskPlanningContext)
-            # Task planner only needs document count, not full document list
-            availableDocuments = self.services.workflow.getDocumentCount()
-            # Use centralized workflow history context function
-            workflowHistory = self.services.workflow.getWorkflowHistoryContext()
-            
-            # Create placeholders dictionary
-            placeholders = {
-                "USER_PROMPT": userPrompt,
-                "AVAILABLE_DOCUMENTS": availableDocuments,
-                "WORKFLOW_HISTORY": workflowHistory
-            }
+            # Build prompt bundle (template + placeholders) using new API
+            bundle = generateTaskPlanningPrompt(self.services, taskPlanningContext)
+            taskPlanningPromptTemplate = bundle.prompt
+            placeholders = bundle.placeholders
             
             # Log task planning prompt sent to AI
             logger.info("=== TASK PLANNING PROMPT SENT TO AI ===")

modules/workflows/processing/modes/modeReact.py

@@ -144,10 +144,11 @@ class ReactMode(BaseMode):
 
             # NEW: Use adaptive stopping logic
             progressState = self.progressTracker.getCurrentProgress()
-            shouldContinue = self.progressTracker.shouldContinue(progressState, observation.get('contentValidation', {}))
+            continueByProgress = self.progressTracker.shouldContinue(progressState, observation.get('contentValidation', {}))
+            continueByReview = shouldContinue(observation, lastReviewDict, step, state.max_steps)
             
-            if not shouldContinue or not shouldContinue(observation, lastReviewDict, step, state.max_steps):
-                logger.info(f"Stopping at step {step}: shouldContinue={shouldContinue}, shouldContinue={shouldContinue(observation, lastReviewDict, step, state.max_steps)}")
+            if not continueByProgress or not continueByReview:
+                logger.info(f"Stopping at step {step}: progress={continueByProgress}, review={continueByReview}")
                 break
             step += 1
 
@@ -248,13 +249,16 @@ class ReactMode(BaseMode):
                 placeholders=placeholders,
                 options=options
             )
-            self._writeTraceLog("React Parameters Response", paramsResp)
-            
             # Parse JSON response
             js = paramsResp[paramsResp.find('{'):paramsResp.rfind('}')+1] if paramsResp else '{}'
             try:
                 paramObj = json.loads(js)
                 parameters = paramObj.get('parameters', {}) if isinstance(paramObj, dict) else {}
+                # Log only the parsed JSON object to avoid duplicated raw text
+                try:
+                    self._writeTraceLog("React Parameters Response", paramObj)
+                except Exception:
+                    pass
             except Exception as e:
                 logger.error(f"Failed to parse AI parameters response as JSON: {str(e)}")
                 logger.error(f"Response was: {paramsResp}")

modules/workflows/processing/shared/methodDiscovery.py

@@ -100,8 +100,8 @@ def getMethodsList(serviceCenter):
     
     return "\n\n".join(methodsList)
 
-def getActionParameterSignature(methodName: str, actionName: str, methods: Dict[str, Any]) -> str:
-    """Get action parameter signature from method docstring for AI parameter generation"""
+def getActionParameterList(methodName: str, actionName: str, methods: Dict[str, Any]) -> str:
+    """Get action parameter list from method docstring for AI parameter generation (list only)."""
     try:
         if not methods or methodName not in methods:
             return ""
@@ -123,7 +123,8 @@ def getActionParameterSignature(methodName: str, actionName: str, methods: Dict[
             else:
                 param_list.append(f"- {paramName} ({paramType})")
         
-        return "Required parameters:\n" + "\n".join(param_list)
+        # Return list only, without leading headings or trailing text
+        return "\n".join(param_list)
     except Exception as e:
         logger.error(f"Error getting action parameter signature for {methodName}.{actionName}: {str(e)}")
         return ""

modules/workflows/processing/shared/promptGenerationActionsReact.py

@@ -16,7 +16,7 @@ from modules.workflows.processing.shared.placeholderFactory import (
     extractLearningsAndImprovements,
     extractLatestRefinementFeedback,
 )
-from modules.workflows.processing.shared.methodDiscovery import methods, getActionParameterSignature
+from modules.workflows.processing.shared.methodDiscovery import methods, getActionParameterList
 
 def generateReactPlanSelectionPrompt(services, context: Any) -> PromptBundle:
     """Define placeholders first, then the template; return PromptBundle."""
@@ -53,9 +53,9 @@ def generateReactPlanSelectionPrompt(services, context: Any) -> PromptBundle:
 
 def generateReactParametersPrompt(services, context: Any, compoundActionName: str) -> PromptBundle:
     """Define placeholders first, then the template; return PromptBundle."""
-    # derive method/action and signature
+    # derive method/action and parameter list
     methodName, actionName = (compoundActionName.split('.', 1) if '.' in compoundActionName else (compoundActionName, ''))
-    actionSignature = getActionParameterSignature(methodName, actionName, methods)
+    actionParameterList = getActionParameterList(methodName, actionName, methods)
 
     # determine action objective if available, else fall back to user prompt
     actionObjective = None
@@ -68,7 +68,7 @@ def generateReactParametersPrompt(services, context: Any, compoundActionName: st
 
     placeholders: List[PromptPlaceholder] = [
         PromptPlaceholder(label="ACTION_OBJECTIVE", content=actionObjective, summaryAllowed=False),
-        PromptPlaceholder(label="ACTION_SIGNATURE", content=actionSignature, summaryAllowed=False),
+        PromptPlaceholder(label="ACTION_PARAMETER_LIST", content=actionParameterList, summaryAllowed=False),
         PromptPlaceholder(label="AVAILABLE_DOCUMENTS_INDEX", content=extractAvailableDocumentsIndex(services, context), summaryAllowed=True),
         PromptPlaceholder(label="AVAILABLE_CONNECTIONS_INDEX", content=extractAvailableConnectionsIndex(services), summaryAllowed=False),
         PromptPlaceholder(label="USER_PROMPT", content=extractUserPrompt(context), summaryAllowed=False),
@@ -81,11 +81,40 @@ def generateReactParametersPrompt(services, context: Any, compoundActionName: st
 
     template = """Generate parameters for this action.
   
+  Return ONLY a JSON RESPONSEOBJECT without comments.
+
+  JSON RESPONSEOBJECT:
+  {{
+    "schema": "parameters_v1",
+    "parameters": {{
+      "paramName": "value"
+    }}
+  }}
+
+  EXAMPLE of the result format to deliver:
+  {{
+    "schema": "parameters_v1",
+    "parameters": {{
+      "aiPrompt": "...",
+      "resultType": "docx",
+      "processingMode": "detailed"
+    }}
+  }}
+
+  RULES:
+  1. Use ONLY parameter names from ACTION_PARAMETER_LIST
+  2. Use exact connection references from AVAILABLE_CONNECTIONS_INDEX for connectionReference parameters
+  3. Use exact document references from AVAILABLE_DOCUMENTS_INDEX for documentList parameters
+  4. Learn from PREVIOUS_ACTION_RESULTS and LEARNINGS_AND_IMPROVEMENTS to avoid repeating mistakes
+  5. Consider LATEST_REFINEMENT_FEEDBACK when generating parameters
+  6. Use the ACTION_OBJECTIVE to understand the specific goal for this action
+  7. Generate parameters that align with the USER_LANGUAGE when applicable
+
   ACTION_OBJECTIVE (the objective for this action to fulfill):
   {{KEY:ACTION_OBJECTIVE}}
 
-  ACTION_SIGNATURE (the signature of the action to generate parameters for):
-  {{KEY:ACTION_SIGNATURE}}
+  ACTION_PARAMETER_LIST:
+  {{KEY:ACTION_PARAMETER_LIST}}
 
   AVAILABLE_DOCUMENTS_INDEX:
   {{KEY:AVAILABLE_DOCUMENTS_INDEX}}
@@ -110,26 +139,6 @@ def generateReactParametersPrompt(services, context: Any, compoundActionName: st
 
   SELECTED_ACTION:
   {{KEY:SELECTED_ACTION}}
-
-  REPLY: Return only a JSON object with the parameters according to the ACTION_SIGNATURE without any comments in the structure below:
-  {{
-    "parameters": {{
-      "parameter": "value",
-    }},
-    "signature": [List of all signatures, you see in the ACTION_SIGNATURE]
-  }}
-
-  RULES:
-  1. Use ONLY parameter names from ACTION_SIGNATURE
-  2. Use exact connection references from AVAILABLE_CONNECTIONS_INDEX for connectionReference parameters
-  3. Use exact document references from AVAILABLE_DOCUMENTS_INDEX for documentList parameters
-  4. Learn from PREVIOUS_ACTION_RESULTS and LEARNINGS_AND_IMPROVEMENTS to avoid repeating mistakes
-  5. Consider LATEST_REFINEMENT_FEEDBACK when generating parameters
-  6. Use the ACTION_OBJECTIVE to understand the specific goal for this action
-  7. Generate parameters that align with the USER_LANGUAGE when applicable
-  8. Return ONLY JSON - no other text
-  9. Do NOT use markdown code blocks
-  10. Do NOT add explanations
   """
 
     return PromptBundle(prompt=template, placeholders=placeholders)

test-chat/extraction/method_ai_20251005-000810/ai_result_r0t0a0.txt

@@ -1,25 +0,0 @@
-Betreff: Terminverschiebung - Besprechung vom 10.00 Uhr
-
-Sehr geehrter Herr Muster,
-
-ich hoffe, diese E-Mail erreicht Sie gut. Bezüglich unseres für heute um 10.00 Uhr geplanten Termins zur Besprechung der Quartalszahlen und Marketingstrategie möchte ich Sie um eine Verschiebung auf Freitag bitten.
-
-Wäre es für Sie möglich, den Termin am Freitag zur gleichen Uhrzeit (10.00 Uhr) wahrzunehmen? Die Agenda bleibt unverändert:
-- Präsentation der Q3-Ergebnisse
-- Diskussion der Marketingziele 2024
-- Budgetplanung
-
-Anbei finden Sie bereits die aktualisierte Präsentation als PDF-Datei zur Vorbereitung.
-
-Ich bitte um kurze Rückmeldung, ob der neue Terminvorschlag für Sie passend ist.
-
-Vielen Dank für Ihr Verständnis.
-
-Mit freundlichen Grüßen
-Valueon Team
-
-Valueon GmbH
-Musterstraße 1
-10115 Berlin
-Tel.: +49 30 123456789
-E-Mail: info@valueon.de

test-chat/extraction/method_ai_20251005-000810/raw_result.txt

@@ -1,10 +0,0 @@
-{
-  "documents": [
-    {
-      "data": "Betreff: Terminverschiebung - Besprechung vom 10.00 Uhr\n\nSehr geehrter Herr Muster,\n\nich hoffe, diese E-Mail erreicht Sie gut. Bezüglich unseres für heute um 10.00 Uhr geplanten Termins zur Besprechung der Quartalszahlen und Marketingstrategie möchte ich Sie um eine Verschiebung auf Freitag bitten.\n\nWäre es für Sie möglich, den Termin am Freitag zur gleichen Uhrzeit (10.00 Uhr) wahrzunehmen? Die Agenda bleibt unverändert:\n- Präsentation der Q3-Ergebnisse\n- Diskussion der Marketingziele 2024\n- Budgetplanung\n\nAnbei finden Sie bereits die aktualisierte Präsentation als PDF-Datei zur Vorbereitung.\n\nIch bitte um kurze Rückmeldung, ob der neue Terminvorschlag für Sie passend ist.\n\nVielen Dank für Ihr Verständnis.\n\nMit freundlichen Grüßen\nValueon Team\n\nValueon GmbH\nMusterstraße 1\n10115 Berlin\nTel.: +49 30 123456789\nE-Mail: info@valueon.de",
-      "mimeType": "text/plain",
-      "comment": "Formal German business email requesting appointment rescheduling with complete structure and professional tone"
-    }
-  ],
-  "continue": false
-}

test-chat/extraction/method_ai_20251005-000810/summary.txt

@@ -1,2 +0,0 @@
-documents: 1
-doc[1]: name=ai_result_r0t0a0.txt, mimeType=text/plain

test-chat/extraction/method_ai_20251005-002615/ai_result_r0t0a0.txt

@@ -1,30 +0,0 @@
-{
-  "documents": [
-    {
-      "data": "Betreff: Terminverschiebung - Meeting vom [aktuelles Datum]
-
-Sehr geehrter Herr Muster,
-
-ich hoffe, diese E-Mail erreicht Sie gut. Bezüglich unseres für heute um 10:00 Uhr geplanten Termins möchte ich Sie um eine Verschiebung auf Freitag bitten.
-
-Termindetails:
-- Ursprünglicher Termin: heute, 10:00 Uhr
-- Vorgeschlagener neuer Termin: Freitag (gleiche Uhrzeit)
-- Dauer: wie ursprünglich geplant
-- Ort: unverändert
-
-Im Anhang finden Sie die aktualisierten Unterlagen für unser Meeting.
-
-Bitte lassen Sie mich wissen, ob der neue Terminvorschlag für Sie passend ist. Falls nicht, können wir gerne einen alternativen Zeitpunkt finden.
-
-Mit freundlichen Grüßen
-
-[Ihr Name]
-
-Anhang: [Dokumentname]",
-      "mimeType": "text/plain",
-      "comment": "Formal German email requesting appointment rescheduling with placeholder text for specific details that need to be filled in"
-    }
-  ],
-  "continue": false
-}

test-chat/extraction/method_ai_20251005-002615/raw_result.txt

@@ -1,30 +0,0 @@
-{
-  "documents": [
-    {
-      "data": "Betreff: Terminverschiebung - Meeting vom [aktuelles Datum]
-
-Sehr geehrter Herr Muster,
-
-ich hoffe, diese E-Mail erreicht Sie gut. Bezüglich unseres für heute um 10:00 Uhr geplanten Termins möchte ich Sie um eine Verschiebung auf Freitag bitten.
-
-Termindetails:
-- Ursprünglicher Termin: heute, 10:00 Uhr
-- Vorgeschlagener neuer Termin: Freitag (gleiche Uhrzeit)
-- Dauer: wie ursprünglich geplant
-- Ort: unverändert
-
-Im Anhang finden Sie die aktualisierten Unterlagen für unser Meeting.
-
-Bitte lassen Sie mich wissen, ob der neue Terminvorschlag für Sie passend ist. Falls nicht, können wir gerne einen alternativen Zeitpunkt finden.
-
-Mit freundlichen Grüßen
-
-[Ihr Name]
-
-Anhang: [Dokumentname]",
-      "mimeType": "text/plain",
-      "comment": "Formal German email requesting appointment rescheduling with placeholder text for specific details that need to be filled in"
-    }
-  ],
-  "continue": false
-}

test-chat/extraction/method_ai_20251005-002615/summary.txt

@@ -1,2 +0,0 @@
-documents: 1
-doc[1]: name=ai_result_r0t0a0.txt, mimeType=text/plain

test-chat/extraction/render_input_20251006-105217/extracted_content.txt

@@ -0,0 +1,246 @@
+AI GENERATED DOCUMENT
+
+Generated: [Current Date]
+
+FIRST 1000 PRIME NUMBERS
+A Comprehensive Reference Guide
+
+EXECUTIVE SUMMARY
+This document provides a complete listing of the first 1000 prime numbers organized in a clear tabular format. Prime numbers are natural numbers greater than 1 that are only divisible by 1 and themselves.
+
+INTRODUCTION TO PRIME NUMBERS
+Prime numbers form the building blocks of mathematics and have crucial applications in cryptography, computer science, and number theory. A prime number has exactly two factors: 1 and itself. The first few prime numbers are 2, 3, 5, 7, 11, and so on.
+
+PRIME NUMBERS LISTING
+(Organized in 10 columns per row)
+
+2      3      5      7     11     13     17     19     23     29
+31     37     41     43     47     53     59     61     67     71
+73     79     83     89     97    101    103    107    109    113
+127    131    137    139    149    151    157    163    167    173
+179    181    191    193    197    199    211    223    227    229
+233    239    241    251    257    263    269    271    277    281
+283    293    307    311    313    317    331    337    347    349
+[Content continues with remaining prime numbers through 1000...]
+
+APPENDIX
+- Source: Computational generation of prime numbers
+- Verification: Each number has been verified as prime through algorithmic testing
+- Usage: Reference only, verify independently for critical applications
+
+NOTE: Due to length constraints, this is a partial response showing the format and initial numbers. The complete list would continue in the same format through the 1000th prime number.
+
+[Continuing prime number listing from previous section...]
+
+353    359    367    373    379    383    389    397    401    409
+419    421    431    433    439    443    449    457    461    463
+467    479    487    491    499    503    509    521    523    541
+547    557    563    569    571    577    587    593    599    601
+607    613    617    619    631    641    643    647    653    659
+661    673    677    683    691    701    709    719    727    733
+739    743    751    757    761    769    773    787    797    809
+811    821    823    827    829    839    853    857    859    863
+877    881    883    887    907    911    919    929    937    941
+947    953    967    971    977    983    991    997   1009   1013
+1019   1021   1031   1033   1039   1049   1051   1061   1063   1069
+1087   1091   1093   1097   1103   1109   1117   1123   1129   1151
+1153   1163   1171   1181   1187   1193   1201   1213   1217   1223
+1229   1231   1237   1249   1259   1277   1279   1283   1289   1291
+1297   1301   1303   1307   1319   1321   1327   1361   1367   1373
+
+[Content continues with remaining prime numbers through 1000th prime...]
+
+APPENDIX NOTES:
+- Each row contains 10 prime numbers for easy reference
+- Numbers are left-aligned within columns
+- Spacing maintained for readability
+- Verified prime numbers through computational methods
+
+Based on the source documents, I'll continue the prime number listing from where it left off:
+
+1381   1399   1409   1423   1427   1429   1433   1439   1447   1451
+1453   1459   1471   1481   1483   1487   1489   1493   1499   1511
+1523   1531   1543   1549   1553   1559   1567   1571   1579   1583
+1597   1601   1607   1609   1613   1619   1621   1627   1637   1657
+1663   1667   1669   1693   1697   1699   1709   1721   1723   1733
+1741   1747   1753   1759   1777   1783   1787   1789   1801   1811
+1823   1831   1847   1861   1867   1871   1873   1877   1879   1889
+1901   1907   1913   1931   1933   1949   1951   1973   1979   1987
+1993   1997   1999   2003   2011   2017   2027   2029   2039   2053
+2063   2069   2081   2083   2087   2089   2099   2111   2113   2129
+2131   2137   2141   2143   2153   2161   2179   2203   2207   2213
+2221   2237   2239   2243   2251   2267   2269   2273   2281   2287
+2293   2297   2309   2311   2333   2339   2341   2347   2351   2357
+2371   2377   2381   2383   2389   2393   2399   2411   2417   2423
+2437   2441   2447   2459   2467   2473   2477   2503   2521   2531
+
+[Content continues systematically through remaining prime numbers to 1000th prime]
+
+APPENDIX NOTES:
+- Numbers verified through computational methods
+- Format maintains 10 columns per row for readability
+- Left-aligned numerical presentation
+- Consistent spacing between entries
+
+[Continuing prime number listing from previous section...]
+
+2539   2543   2549   2551   2557   2579   2591   2593   2609   2617
+2621   2633   2647   2657   2659   2663   2671   2677   2683   2687
+2689   2693   2699   2707   2711   2713   2719   2729   2731   2741
+2749   2753   2767   2777   2789   2791   2797   2801   2803   2819
+2833   2837   2843   2851   2857   2861   2879   2887   2897   2903
+2909   2917   2927   2939   2953   2957   2963   2969   2971   2999
+3001   3011   3019   3023   3037   3041   3049   3061   3067   3079
+3083   3089   3109   3119   3121   3137   3163   3167   3169   3181
+3187   3191   3203   3209   3217   3221   3229   3251   3253   3257
+3259   3271   3299   3301   3307   3313   3319   3323   3329   3331
+3343   3347   3359   3361   3371   3373   3389   3391   3407   3413
+3433   3449   3457   3461   3463   3467   3469   3491   3499   3511
+3517   3527   3529   3533   3539   3541   3547   3557   3559   3571
+3581   3583   3593   3607   3613   3617   3623   3631   3637   3643
+3659   3671   3673   3677   3691   3697   3701   3709   3719   3727
+
+[Content continues systematically through remaining prime numbers...]
+
+APPENDIX NOTES:
+- Consistent 10-column format maintained
+- Numbers verified for primality
+- Left-aligned presentation
+- Professional spacing and layout
+
+[Continuing prime number listing from previous section...]
+
+3733   3739   3761   3767   3769   3779   3793   3797   3803   3821
+3823   3833   3847   3851   3853   3863   3877   3881   3889   3907
+3911   3917   3919   3923   3929   3931   3943   3947   3967   3989
+4001   4003   4007   4013   4019   4021   4027   4049   4051   4057
+4073   4079   4091   4093   4099   4111   4127   4129   4133   4139
+4153   4157   4159   4177   4201   4211   4217   4219   4229   4231
+4241   4243   4253   4259   4261   4271   4273   4283   4289   4297
+4327   4337   4339   4349   4357   4363   4373   4391   4397   4409
+4421   4423   4441   4447   4451   4457   4463   4481   4483   4493
+4507   4513   4517   4519   4523   4547   4549   4561   4567   4583
+4591   4597   4603   4621   4637   4639   4643   4649   4651   4657
+4663   4673   4679   4691   4703   4721   4723   4729   4733   4751
+4759   4783   4787   4789   4793   4799   4801   4813   4817   4831
+4861   4871   4877   4889   4903   4909   4919   4931   4933   4937
+4943   4951   4957   4967   4969   4973   4987   4993   4999   5003
+
+[Content continues systematically through remaining prime numbers...]
+
+APPENDIX NOTES:
+- Maintaining consistent 10-column format
+- Numbers computationally verified as prime
+- Professional spacing and alignment
+- Sequential presentation maintained
+
+[Continuing prime number listing from previous section...]
+
+5009   5011   5021   5023   5039   5051   5059   5077   5081   5087
+5099   5101   5107   5113   5119   5147   5153   5167   5171   5179
+5189   5197   5209   5227   5231   5233   5237   5261   5273   5279
+5281   5297   5303   5309   5323   5333   5347   5351   5381   5387
+5393   5399   5407   5413   5417   5419   5431   5437   5441   5443
+5449   5471   5477   5479   5483   5501   5503   5507   5519   5521
+5527   5531   5557   5563   5569   5573   5581   5591   5623   5639
+5641   5647   5651   5653   5657   5659   5669   5683   5689   5693
+5701   5711   5717   5737   5741   5743   5749   5779   5783   5791
+5801   5807   5813   5821   5827   5839   5843   5849   5851   5857
+5861   5867   5869   5879   5881   5897   5903   5923   5927   5939
+5953   5981   5987   6007   6011   6029   6037   6043   6047   6053
+6067   6073   6079   6089   6091   6101   6113   6121   6131   6133
+6143   6151   6163   6173   6197   6199   6203   6211   6217   6221
+6229   6247   6257   6263   6269   6271   6277   6287   6299   6301
+
+APPENDIX NOTES:
+- Numbers verified through computational methods
+- Consistent 10-column format maintained
+- Professional spacing and layout
+- Sequential presentation preserved
+
+[Continuing prime number listing from previous section...]
+
+6311   6317   6323   6329   6337   6343   6353   6359   6361   6367
+6373   6379   6389   6397   6421   6427   6449   6451   6469   6473
+6481   6491   6521   6529   6547   6551   6553   6563   6569   6571
+6577   6581   6599   6607   6619   6637   6653   6659   6661   6673
+6679   6689   6691   6701   6703   6709   6719   6733   6737   6761
+6763   6779   6781   6791   6793   6803   6823   6827   6829   6833
+6841   6857   6863   6869   6871   6883   6899   6907   6911   6917
+6947   6949   6959   6961   6967   6971   6977   6983   6991   6997
+7001   7013   7019   7027   7039   7043   7057   7069   7079   7103
+7109   7121   7127   7129   7151   7159   7177   7187   7193   7207
+7211   7213   7219   7229   7237   7243   7247   7253   7283   7297
+7307   7309   7321   7331   7333   7349   7351   7369   7393   7411
+7417   7433   7451   7457   7459   7477   7481   7487   7489   7499
+7507   7517   7523   7529   7537   7541   7547   7549   7559   7561
+7573   7577   7583   7589   7591   7603   7607   7621   7639   7643
+
+[Content continues systematically through remaining prime numbers...]
+
+APPENDIX NOTES:
+- Consistent 10-column format maintained
+- Numbers verified for primality
+- Professional spacing and layout
+- Sequential presentation preserved
+
+[Continuing prime number listing from previous section...]
+
+7649   7669   7673   7681   7687   7691   7699   7703   7717   7723
+7727   7741   7753   7757   7759   7789   7793   7817   7823   7829
+7841   7853   7867   7873   7877   7879   7883   7901   7907   7919
+7927   7933   7937   7949   7951   7963   7993   8009   8011   8017
+8039   8053   8059   8069   8081   8087   8089   8093   8101   8111
+8117   8123   8147   8161   8167   8171   8179   8191   8209   8219
+8221   8231   8233   8237   8243   8263   8269   8273   8287   8291
+8293   8297   8311   8317   8329   8353   8363   8369   8377   8387
+8389   8419   8423   8429   8431   8443   8447   8461   8467   8501
+8513   8521   8527   8537   8539   8543   8563   8573   8581   8597
+8599   8609   8623   8627   8629   8641   8647   8663   8669   8677
+8681   8689   8693   8699   8707   8713   8719   8731   8737   8741
+8747   8753   8761   8779   8783   8803   8807   8819   8821   8831
+8837   8839   8849   8861   8863   8867   8887   8893   8923   8929
+8933   8941   8951   8963   8969   8971   8999   9001   9007   9011
+
+[Content continues systematically through remaining prime numbers...]
+
+APPENDIX NOTES:
+- Consistent 10-column format maintained
+- Numbers verified for primality
+- Professional spacing and layout
+- Sequential presentation preserved
+
+[Continuing prime number listing from previous section...]
+
+9013   9029   9041   9043   9049   9059   9067   9091   9103   9109
+9127   9133   9137   9151   9157   9161   9173   9181   9187   9199
+9203   9209   9221   9227   9239   9241   9257   9277   9281   9283
+9293   9311   9319   9323   9337   9341   9343   9349   9371   9377
+9391   9397   9403   9413   9419   9421   9431   9433   9437   9439
+9461   9463   9467   9473   9479   9491   9497   9511   9521   9533
+9539   9547   9551   9587   9601   9613   9619   9623   9629   9631
+9643   9649   9661   9677   9679   9689   9697   9719   9721   9733
+9739   9743   9749   9767   9769   9781   9787   9791   9803   9811
+9817   9829   9833   9839   9851   9857   9859   9871   9883   9887
+9901   9907   9923   9929   9931   9941   9949   9967   9973  10007
+10009  10037  10039  10061  10067  10069  10079  10091  10093  10099
+10103  10111  10133  10139  10141  10151  10159  10163  10169  10177
+10181  10193  10211  10223  10243  10247  10253  10259  10267  10271
+10273  10289  10301  10303  10313  10321  10331  10333  10337  10343
+
+CONCLUSION
+This document has provided a comprehensive listing of the first 1000 prime numbers in a structured format. The numbers have been arranged in rows of 10 for easy reference and readability. Each prime number has been computationally verified for accuracy.
+
+APPENDIX
+Source Information:
+- Generated using computational algorithms
+- Verified through primality testing
+- Date Generated: [Current Date]
+- Document Version: 1.0
+
+Usage Notes:
+- For reference purposes only
+- Verify independently for critical applications
+- Contact technical support for additional information
+
+END OF DOCUMENT

test-chat/extraction/render_input_20251006-105217/meta.txt

@@ -0,0 +1,4 @@
+title: AI Generated Document
+format: docx
+length: 12551
+starts_with_brace: False

test-chat/obj/m20251005-020749_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_ffa9c80b-55cb-4a8e-8bc2-e89d1063ccf7",
-  "workflowId": "fd3a7e4c-d395-4987-a43a-ff8302ee4266",
-  "parentMessageId": null,
-  "message": "Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.",
-  "role": "user",
-  "status": "first",
-  "sequenceNr": 1,
-  "publishedAt": 1759622869.8408577,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "round1_task0_action0_context",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-020749_1_0_0/message_text.txt

@@ -1 +0,0 @@
-Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.

test-chat/obj/m20251005-020754_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_1ecaa93c-3882-48e3-b4ff-1f4e08465595",
-  "workflowId": "fd3a7e4c-d395-4987-a43a-ff8302ee4266",
-  "parentMessageId": null,
-  "message": "🚀 **Task 1/1**\n\n💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met including the attachment and summary.",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 3,
-  "publishedAt": 1759622874.7895103,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_start",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-020754_1_1_0/message_text.txt

@@ -1,3 +0,0 @@
-🚀 **Task 1/1**
-
-💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met including the attachment and summary.

test-chat/obj/m20251005-020811_1_1_1/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_50665dd6-a595-43ab-bab7-66a562bc0222",
-  "workflowId": "fd3a7e4c-d395-4987-a43a-ff8302ee4266",
-  "parentMessageId": null,
-  "message": "**Action 1/1 (ai.process)**\n\n✅ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 4,
-  "publishedAt": 1759622891.141656,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 1,
-  "documentsLabel": "round1_task1_action1_results",
-  "actionId": "action_e9cf7e24-c695-4bd5-aabf-fa1f42958345",
-  "actionMethod": "ai",
-  "actionName": "process",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-020811_1_1_1/message_text.txt

@@ -1,4 +0,0 @@
-**Action 1/1 (ai.process)**
-
-✅ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary
-

test-chat/obj/m20251005-020811_1_1_1/round1_task1_action1_results/document_001_metadata.json

@@ -1,12 +0,0 @@
-{
-  "id": "f51e4c76-a5c7-44b6-b43e-4c13a211516f",
-  "messageId": "msg_50665dd6-a595-43ab-bab7-66a562bc0222",
-  "fileId": "39cf3b09-1ffe-49d2-9968-a884f59f6aa0",
-  "fileName": "ai_result_r0t0a0_133.txt",
-  "fileSize": 859,
-  "mimeType": "text/plain",
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 1,
-  "actionId": "action_e9cf7e24-c695-4bd5-aabf-fa1f42958345"
-}

test-chat/obj/m20251005-020813_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_bb563c42-dfe7-4061-9913-b106ff8b5bdd",
-  "workflowId": "fd3a7e4c-d395-4987-a43a-ff8302ee4266",
-  "parentMessageId": null,
-  "message": "Workflow completed.\n\nProcessed 1 user inputs and generated 4 responses.\nWorkflow status: running",
-  "role": "assistant",
-  "status": "last",
-  "sequenceNr": 6,
-  "publishedAt": 1759622893.4245453,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "workflow_feedback",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-020813_1_0_0/message_text.txt

@@ -1,4 +0,0 @@
-Workflow completed.
-
-Processed 1 user inputs and generated 4 responses.
-Workflow status: running

test-chat/obj/m20251005-020813_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_f08cfbcd-b146-475b-b7d2-6c6340210760",
-  "workflowId": "fd3a7e4c-d395-4987-a43a-ff8302ee4266",
-  "parentMessageId": null,
-  "message": "🎯 **Task 1/1**\n\n✅ The objective has been fulfilled - a formal email draft has been created with the requested content (rescheduling appointment from 10:00 to Friday), includes file attachment mention, and contains a summary. The email format, recipient, and all required elements are present and properly formatted.\n📊 Score 8/10",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 5,
-  "publishedAt": 1759622893.302553,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_completion",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-020813_1_1_0/message_text.txt

@@ -1,4 +0,0 @@
-🎯 **Task 1/1**
-
-✅ The objective has been fulfilled - a formal email draft has been created with the requested content (rescheduling appointment from 10:00 to Friday), includes file attachment mention, and contains a summary. The email format, recipient, and all required elements are present and properly formatted.
-📊 Score 8/10

test-chat/obj/m20251005-021217_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_65d921b7-c034-4e67-9d61-8b27113e034e",
-  "workflowId": "307298f9-0546-4f9a-9206-21c4d7c1914e",
-  "parentMessageId": null,
-  "message": "Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.",
-  "role": "user",
-  "status": "first",
-  "sequenceNr": 1,
-  "publishedAt": 1759623137.0625856,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "round1_task0_action0_context",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-021217_1_0_0/message_text.txt

@@ -1 +0,0 @@
-Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.

test-chat/obj/m20251005-021229_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_fcc410c3-67ff-4f50-b6b2-2de1973a794f",
-  "workflowId": "307298f9-0546-4f9a-9206-21c4d7c1914e",
-  "parentMessageId": null,
-  "message": "🚀 **Task 1/1**\n\n💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met including the attachment and summary.",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 3,
-  "publishedAt": 1759623149.7531114,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_start",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-021229_1_1_0/message_text.txt

@@ -1,3 +0,0 @@
-🚀 **Task 1/1**
-
-💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met including the attachment and summary.

test-chat/obj/m20251005-021243_1_1_1/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_3e1c551a-c9cc-4666-ac5e-44f5531ae1d7",
-  "workflowId": "307298f9-0546-4f9a-9206-21c4d7c1914e",
-  "parentMessageId": null,
-  "message": "**Action 1/1 (ai.process)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary\n\nAI prompt is required\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 4,
-  "publishedAt": 1759623163.5099223,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 1,
-  "documentsLabel": "round1_task1_action1_results",
-  "actionId": "action_e7ebebf3-21cd-41c9-a623-7cf5cd17110c",
-  "actionMethod": "ai",
-  "actionName": "process",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-021243_1_1_1/message_text.txt

@@ -1,6 +0,0 @@
-**Action 1/1 (ai.process)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary
-
-AI prompt is required
-

test-chat/obj/m20251005-021256_1_1_2/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_767fd46d-4a01-4a83-8eae-13e567c6eb24",
-  "workflowId": "307298f9-0546-4f9a-9206-21c4d7c1914e",
-  "parentMessageId": null,
-  "message": "**Action 2/1 (outlook.composeAndSendEmail)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary\n\nConnection reference and composed email reference are required\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 5,
-  "publishedAt": 1759623176.081393,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 2,
-  "documentsLabel": "round1_task1_action2_results",
-  "actionId": "action_3e5f10ef-df73-4cfb-9f18-a985a7553107",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmail",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-021256_1_1_2/message_text.txt

@@ -1,6 +0,0 @@
-**Action 2/1 (outlook.composeAndSendEmail)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary
-
-Connection reference and composed email reference are required
-

test-chat/obj/m20251005-021315_1_1_3/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_b1b67a6e-de2d-41a8-8031-8201c5e6d9ed",
-  "workflowId": "307298f9-0546-4f9a-9206-21c4d7c1914e",
-  "parentMessageId": null,
-  "message": "**Action 3/1 (ai.process)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary\n\nAI prompt is required\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 6,
-  "publishedAt": 1759623194.9830098,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 3,
-  "documentsLabel": "round1_task1_action3_results",
-  "actionId": "action_13b33b08-5313-4baf-85f6-72fa58704ffd",
-  "actionMethod": "ai",
-  "actionName": "process",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-021315_1_1_3/message_text.txt

@@ -1,6 +0,0 @@
-**Action 3/1 (ai.process)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary
-
-AI prompt is required
-

test-chat/obj/m20251005-021335_1_1_4/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_39b42434-2f33-4d85-8d75-a7d952811ca8",
-  "workflowId": "307298f9-0546-4f9a-9206-21c4d7c1914e",
-  "parentMessageId": null,
-  "message": "**Action 4/1 (ai.process)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary\n\nAI prompt is required\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 7,
-  "publishedAt": 1759623215.4080865,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 4,
-  "documentsLabel": "round1_task1_action4_results",
-  "actionId": "action_0450fb3a-b679-4c18-8222-4af008ea1ebd",
-  "actionMethod": "ai",
-  "actionName": "process",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-021335_1_1_4/message_text.txt

@@ -1,6 +0,0 @@
-**Action 4/1 (ai.process)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary
-
-AI prompt is required
-

test-chat/obj/m20251005-021350_1_1_5/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_1e982293-91b2-4281-a956-a5df2354642f",
-  "workflowId": "307298f9-0546-4f9a-9206-21c4d7c1914e",
-  "parentMessageId": null,
-  "message": "**Action 5/1 (ai.process)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary\n\nAI prompt is required\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 8,
-  "publishedAt": 1759623230.1714125,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 5,
-  "documentsLabel": "round1_task1_action5_results",
-  "actionId": "action_756ed635-5b3a-4bbe-9cc6-f95ada44fee1",
-  "actionMethod": "ai",
-  "actionName": "process",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-021350_1_1_5/message_text.txt

@@ -1,6 +0,0 @@
-**Action 5/1 (ai.process)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10am appointment to Friday, including file attachment and appointment summary
-
-AI prompt is required
-

test-chat/obj/m20251005-021353_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_e2070f65-d01f-410b-bc29-37365911a826",
-  "workflowId": "307298f9-0546-4f9a-9206-21c4d7c1914e",
-  "parentMessageId": null,
-  "message": "Workflow completed.\n\nProcessed 1 user inputs and generated 8 responses.\nWorkflow status: running",
-  "role": "assistant",
-  "status": "last",
-  "sequenceNr": 10,
-  "publishedAt": 1759623233.4439967,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "workflow_feedback",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-021353_1_0_0/message_text.txt

@@ -1,4 +0,0 @@
-Workflow completed.
-
-Processed 1 user inputs and generated 8 responses.
-Workflow status: running

test-chat/obj/m20251005-021353_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_be26362c-eead-4eef-bd02-9186f3cec9a9",
-  "workflowId": "307298f9-0546-4f9a-9206-21c4d7c1914e",
-  "parentMessageId": null,
-  "message": "🎯 **Task 1/1**\n\n✅ Need to compose formal email with specific requirements: 1) Reschedule appointment to Friday 10am 2) Attach this file 3) Include summary in email body. No email draft has been created yet.\n📊 Score 8/10",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 9,
-  "publishedAt": 1759623233.252341,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_completion",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-021353_1_1_0/message_text.txt

@@ -1,4 +0,0 @@
-🎯 **Task 1/1**
-
-✅ Need to compose formal email with specific requirements: 1) Reschedule appointment to Friday 10am 2) Attach this file 3) Include summary in email body. No email draft has been created yet.
-📊 Score 8/10

test-chat/obj/m20251005-022004_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_a1059ab6-fc50-4293-8ee4-4cb971c3a5b6",
-  "workflowId": "64cb4501-ae6f-401e-b473-248d0f304e55",
-  "parentMessageId": null,
-  "message": "Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.",
-  "role": "user",
-  "status": "first",
-  "sequenceNr": 1,
-  "publishedAt": 1759623604.1567802,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "round1_task0_action0_context",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022004_1_0_0/message_text.txt

@@ -1 +0,0 @@
-Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.

test-chat/obj/m20251005-022009_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_12015763-7c2b-45af-afcb-bfb1e3200cc0",
-  "workflowId": "64cb4501-ae6f-401e-b473-248d0f304e55",
-  "parentMessageId": null,
-  "message": "🚀 **Task 1/1**\n\n💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 3,
-  "publishedAt": 1759623609.2920356,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_start",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022009_1_1_0/message_text.txt

@@ -1,3 +0,0 @@
-🚀 **Task 1/1**
-
-💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met

test-chat/obj/m20251005-022021_1_1_1/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_e348e746-ceb2-411e-aa9e-a3f915dafd79",
-  "workflowId": "64cb4501-ae6f-401e-b473-248d0f304e55",
-  "parentMessageId": null,
-  "message": "**Action 1/1 (outlook.composeAndSendEmail)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including specified file attachment and appointment change summary\n\nConnection reference and composed email reference are required\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 4,
-  "publishedAt": 1759623621.885119,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 1,
-  "documentsLabel": "round1_task1_action1_results",
-  "actionId": "action_b4ba60c4-cde7-4c76-907e-391294a38d35",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmail",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022021_1_1_1/message_text.txt

@@ -1,6 +0,0 @@
-**Action 1/1 (outlook.composeAndSendEmail)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including specified file attachment and appointment change summary
-
-Connection reference and composed email reference are required
-

test-chat/obj/m20251005-022035_1_1_2/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_4363439b-75cd-45f6-bbec-60a10ad41387",
-  "workflowId": "64cb4501-ae6f-401e-b473-248d0f304e55",
-  "parentMessageId": null,
-  "message": "**Action 2/1 (ai.process)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including specified file attachment and appointment change summary\n\nAI prompt is required\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 5,
-  "publishedAt": 1759623634.9731302,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 2,
-  "documentsLabel": "round1_task1_action2_results",
-  "actionId": "action_556df4a2-c07a-4e97-9193-2ebbaa672494",
-  "actionMethod": "ai",
-  "actionName": "process",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022035_1_1_2/message_text.txt

@@ -1,6 +0,0 @@
-**Action 2/1 (ai.process)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including specified file attachment and appointment change summary
-
-AI prompt is required
-

test-chat/obj/m20251005-022049_1_1_3/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_13b7cfe7-1bf3-4128-b7de-4ca90cebd6b5",
-  "workflowId": "64cb4501-ae6f-401e-b473-248d0f304e55",
-  "parentMessageId": null,
-  "message": "**Action 3/1 (ai.process)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including specified file attachment and appointment change summary\n\nAI prompt is required\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 6,
-  "publishedAt": 1759623649.501099,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 3,
-  "documentsLabel": "round1_task1_action3_results",
-  "actionId": "action_7e0eace7-7a9e-4c26-b2eb-a94f086b5889",
-  "actionMethod": "ai",
-  "actionName": "process",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022049_1_1_3/message_text.txt

@@ -1,6 +0,0 @@
-**Action 3/1 (ai.process)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including specified file attachment and appointment change summary
-
-AI prompt is required
-

test-chat/obj/m20251005-022103_1_1_4/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_a8de1b70-a6ac-4c1e-9c2a-2fcbc2716821",
-  "workflowId": "64cb4501-ae6f-401e-b473-248d0f304e55",
-  "parentMessageId": null,
-  "message": "**Action 4/1 (ai.process)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including specified file attachment and appointment change summary\n\nAI prompt is required\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 7,
-  "publishedAt": 1759623663.6067572,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 4,
-  "documentsLabel": "round1_task1_action4_results",
-  "actionId": "action_2d6b398c-9227-4dfc-91b1-edbbde98901c",
-  "actionMethod": "ai",
-  "actionName": "process",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022103_1_1_4/message_text.txt

@@ -1,6 +0,0 @@
-**Action 4/1 (ai.process)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including specified file attachment and appointment change summary
-
-AI prompt is required
-

test-chat/obj/m20251005-022557_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_352465fd-58b8-44c9-bb65-9ac435dbb668",
-  "workflowId": "b8da1ea3-eccd-4dee-ba82-f1d2ffe12621",
-  "parentMessageId": null,
-  "message": "Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.",
-  "role": "user",
-  "status": "first",
-  "sequenceNr": 1,
-  "publishedAt": 1759623957.7326982,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "round1_task0_action0_context",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022557_1_0_0/message_text.txt

@@ -1 +0,0 @@
-Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.

test-chat/obj/m20251005-022602_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_ac3f5ded-cc3f-460f-883a-e302d75e8a10",
-  "workflowId": "b8da1ea3-eccd-4dee-ba82-f1d2ffe12621",
-  "parentMessageId": null,
-  "message": "🚀 **Task 1/1**\n\n💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met including the attachment and summary.",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 3,
-  "publishedAt": 1759623962.7682924,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_start",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022602_1_1_0/message_text.txt

@@ -1,3 +0,0 @@
-🚀 **Task 1/1**
-
-💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met including the attachment and summary.

test-chat/obj/m20251005-022616_1_1_1/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_60ad4026-7b17-4beb-b39f-290e8d7fd3d4",
-  "workflowId": "b8da1ea3-eccd-4dee-ba82-f1d2ffe12621",
-  "parentMessageId": null,
-  "message": "**Action 1/1 (ai.process)**\n\n✅ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including file attachment and appointment summary\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 4,
-  "publishedAt": 1759623976.8178117,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 1,
-  "documentsLabel": "round1_task1_action1_results",
-  "actionId": "action_c71579e1-56de-405c-a079-d2cb1c293bd3",
-  "actionMethod": "ai",
-  "actionName": "process",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022616_1_1_1/message_text.txt

@@ -1,4 +0,0 @@
-**Action 1/1 (ai.process)**
-
-✅ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including file attachment and appointment summary
-

test-chat/obj/m20251005-022616_1_1_1/round1_task1_action1_results/document_001_metadata.json

@@ -1,12 +0,0 @@
-{
-  "id": "fb083d24-36f8-4544-a940-4a1320d595d2",
-  "messageId": "msg_60ad4026-7b17-4beb-b39f-290e8d7fd3d4",
-  "fileId": "ba153afc-0e12-48e6-880a-4e723066bfb2",
-  "fileName": "ai_result_r0t0a0_134.txt",
-  "fileSize": 955,
-  "mimeType": "text/plain",
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 1,
-  "actionId": "action_c71579e1-56de-405c-a079-d2cb1c293bd3"
-}

test-chat/obj/m20251005-022621_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_16085073-a3bb-4f96-9877-2b62fc7cb579",
-  "workflowId": "b8da1ea3-eccd-4dee-ba82-f1d2ffe12621",
-  "parentMessageId": null,
-  "message": "Workflow completed.\n\nProcessed 1 user inputs and generated 4 responses.\nWorkflow status: running",
-  "role": "assistant",
-  "status": "last",
-  "sequenceNr": 6,
-  "publishedAt": 1759623981.367755,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "workflow_feedback",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022621_1_0_0/message_text.txt

@@ -1,4 +0,0 @@
-Workflow completed.
-
-Processed 1 user inputs and generated 4 responses.
-Workflow status: running

test-chat/obj/m20251005-022621_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_b75318e7-6948-494d-971b-434809f3a094",
-  "workflowId": "b8da1ea3-eccd-4dee-ba82-f1d2ffe12621",
-  "parentMessageId": null,
-  "message": "🎯 **Task 1/1**\n\n✅ Task completed successfully\n📊 Score 8/10",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 5,
-  "publishedAt": 1759623981.2375298,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_completion",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-022621_1_1_0/message_text.txt

@@ -1,4 +0,0 @@
-🎯 **Task 1/1**
-
-✅ Task completed successfully
-📊 Score 8/10

test-chat/obj/m20251005-024356_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_831890a3-dda8-453a-a19b-8608c40ad3cd",
-  "workflowId": "0d37016c-6423-48be-b18b-2b19d2b36eb3",
-  "parentMessageId": null,
-  "message": "Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.",
-  "role": "user",
-  "status": "first",
-  "sequenceNr": 1,
-  "publishedAt": 1759625036.7117429,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "round1_task0_action0_context",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024356_1_0_0/message_text.txt

@@ -1 +0,0 @@
-Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.

test-chat/obj/m20251005-024402_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_517dc114-ce1c-4dbc-b6de-05dbc8d6618c",
-  "workflowId": "0d37016c-6423-48be-b18b-2b19d2b36eb3",
-  "parentMessageId": null,
-  "message": "🚀 **Task 1/1**\n\n💬 I will compose and send a formal email to reschedule your appointment, making sure to include the attachment and a summary.",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 3,
-  "publishedAt": 1759625042.2269123,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_start",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024402_1_1_0/message_text.txt

@@ -1,3 +0,0 @@
-🚀 **Task 1/1**
-
-💬 I will compose and send a formal email to reschedule your appointment, making sure to include the attachment and a summary.

test-chat/obj/m20251005-024410_1_1_1/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_346c257b-7428-486b-9732-c82684da9a2c",
-  "workflowId": "0d37016c-6423-48be-b18b-2b19d2b36eb3",
-  "parentMessageId": null,
-  "message": "**Action 1/1 (outlook.composeAndSendEmailWithContext)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file\n\nNo valid Microsoft connection found\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 4,
-  "publishedAt": 1759625050.6817548,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 1,
-  "documentsLabel": "round1_task1_action1_results",
-  "actionId": "action_9900d227-5af0-4ea3-8fb0-0b515ebb88d2",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmailWithContext",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024410_1_1_1/message_text.txt

@@ -1,6 +0,0 @@
-**Action 1/1 (outlook.composeAndSendEmailWithContext)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file
-
-No valid Microsoft connection found
-

test-chat/obj/m20251005-024420_1_1_2/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_9c5b0385-8647-4870-9ad7-ffbb8959a36c",
-  "workflowId": "0d37016c-6423-48be-b18b-2b19d2b36eb3",
-  "parentMessageId": null,
-  "message": "**Action 2/1 (outlook.composeAndSendEmailWithContext)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file\n\nNo valid Microsoft connection found\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 5,
-  "publishedAt": 1759625059.9721742,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 2,
-  "documentsLabel": "round1_task1_action2_results",
-  "actionId": "action_578545dd-8d77-4e6f-bf83-6070f03aa77a",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmailWithContext",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024420_1_1_2/message_text.txt

@@ -1,6 +0,0 @@
-**Action 2/1 (outlook.composeAndSendEmailWithContext)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file
-
-No valid Microsoft connection found
-

test-chat/obj/m20251005-024429_1_1_3/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_451a684c-0497-4b86-9f53-2b07225ef8c7",
-  "workflowId": "0d37016c-6423-48be-b18b-2b19d2b36eb3",
-  "parentMessageId": null,
-  "message": "**Action 3/1 (outlook.composeAndSendEmailWithContext)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file\n\nNo valid Microsoft connection found\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 6,
-  "publishedAt": 1759625069.1750748,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 3,
-  "documentsLabel": "round1_task1_action3_results",
-  "actionId": "action_50f45a96-0f7f-43bf-841a-6541438508bd",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmailWithContext",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024429_1_1_3/message_text.txt

@@ -1,6 +0,0 @@
-**Action 3/1 (outlook.composeAndSendEmailWithContext)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file
-
-No valid Microsoft connection found
-

test-chat/obj/m20251005-024438_1_1_4/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_29673c33-26f4-43bc-a8ca-5224010e58f3",
-  "workflowId": "0d37016c-6423-48be-b18b-2b19d2b36eb3",
-  "parentMessageId": null,
-  "message": "**Action 4/1 (outlook.composeAndSendEmailWithContext)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file\n\nNo valid Microsoft connection found\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 7,
-  "publishedAt": 1759625078.349944,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 4,
-  "documentsLabel": "round1_task1_action4_results",
-  "actionId": "action_4a3a8696-1b77-470b-9f87-118fe0eb6823",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmailWithContext",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024438_1_1_4/message_text.txt

@@ -1,6 +0,0 @@
-**Action 4/1 (outlook.composeAndSendEmailWithContext)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file
-
-No valid Microsoft connection found
-

test-chat/obj/m20251005-024448_1_1_5/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_dd4ee677-36f4-482a-8255-f7170dfe97ba",
-  "workflowId": "0d37016c-6423-48be-b18b-2b19d2b36eb3",
-  "parentMessageId": null,
-  "message": "**Action 5/1 (outlook.composeAndSendEmailWithContext)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file\n\nNo valid Microsoft connection found\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 8,
-  "publishedAt": 1759625088.0344517,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 5,
-  "documentsLabel": "round1_task1_action5_results",
-  "actionId": "action_83c47e1d-5ac8-4ff6-affe-d422ed0cd25b",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmailWithContext",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024448_1_1_5/message_text.txt

@@ -1,6 +0,0 @@
-**Action 5/1 (outlook.composeAndSendEmailWithContext)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including attachment and summary of the attached file
-
-No valid Microsoft connection found
-

test-chat/obj/m20251005-024449_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_4afa8240-566c-4a8f-a832-2cab396e4144",
-  "workflowId": "0d37016c-6423-48be-b18b-2b19d2b36eb3",
-  "parentMessageId": null,
-  "message": "Workflow completed.\n\nProcessed 1 user inputs and generated 8 responses.\nWorkflow status: running",
-  "role": "assistant",
-  "status": "last",
-  "sequenceNr": 10,
-  "publishedAt": 1759625089.7135806,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "workflow_feedback",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024449_1_0_0/message_text.txt

@@ -1,4 +0,0 @@
-Workflow completed.
-
-Processed 1 user inputs and generated 8 responses.
-Workflow status: running

test-chat/obj/m20251005-024449_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_f30d9f5b-f4d9-41c6-a349-18729c78ed5a",
-  "workflowId": "0d37016c-6423-48be-b18b-2b19d2b36eb3",
-  "parentMessageId": null,
-  "message": "🎯 **Task 1/1**\n\n✅ Email task not started yet - need to compose formal email to reschedule appointment and attach file\n📊 Score 8/10",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 9,
-  "publishedAt": 1759625089.5139394,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_completion",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024449_1_1_0/message_text.txt

@@ -1,4 +0,0 @@
-🎯 **Task 1/1**
-
-✅ Email task not started yet - need to compose formal email to reschedule appointment and attach file
-📊 Score 8/10

test-chat/obj/m20251005-024837_1_0_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_dfee5962-a9c4-43f7-b5b1-517a690dffd0",
-  "workflowId": "783b6cb7-838a-440e-8f8e-cf5e4f678f82",
-  "parentMessageId": null,
-  "message": "Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.",
-  "role": "user",
-  "status": "first",
-  "sequenceNr": 1,
-  "publishedAt": 1759625317.8185117,
-  "roundNumber": 1,
-  "taskNumber": 0,
-  "actionNumber": 0,
-  "documentsLabel": "round1_task0_action0_context",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024837_1_0_0/message_text.txt

@@ -1 +0,0 @@
-Sende eine formelle E-Mail an peter.muster@domain.com von meinem valueon account aus, um meinen Termin von 10 Uhr auf Freitag zu scheiben. lege diese datei im mail als anhang bei und erfasse eine zusammenfasung im mail.

test-chat/obj/m20251005-024843_1_1_0/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_9ca0090c-c91f-43f8-a9a0-4cb565df1c91",
-  "workflowId": "783b6cb7-838a-440e-8f8e-cf5e4f678f82",
-  "parentMessageId": null,
-  "message": "🚀 **Task 1/1**\n\n💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met including the attachment and summary.",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 3,
-  "publishedAt": 1759625323.495257,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 0,
-  "documentsLabel": "task_1_start",
-  "actionId": null,
-  "actionMethod": null,
-  "actionName": null,
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024843_1_1_0/message_text.txt

@@ -1,3 +0,0 @@
-🚀 **Task 1/1**
-
-💬 I will compose and send a formal email to reschedule your appointment, ensuring all requirements are met including the attachment and summary.

test-chat/obj/m20251005-024852_1_1_1/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_a817e1bf-c6cd-4e8e-815e-e62ace0c0753",
-  "workflowId": "783b6cb7-838a-440e-8f8e-cf5e4f678f82",
-  "parentMessageId": null,
-  "message": "**Action 1/1 (outlook.composeAndSendEmailWithContext)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including file attachment and appointment summary\n\nNo valid Microsoft connection found\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 4,
-  "publishedAt": 1759625332.1686268,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 1,
-  "documentsLabel": "round1_task1_action1_results",
-  "actionId": "action_7dd0dfb2-6be5-4003-b343-5a8fd9096e02",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmailWithContext",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024852_1_1_1/message_text.txt

@@ -1,6 +0,0 @@
-**Action 1/1 (outlook.composeAndSendEmailWithContext)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including file attachment and appointment summary
-
-No valid Microsoft connection found
-

test-chat/obj/m20251005-024901_1_1_2/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_f37b998f-2523-4c6a-81b5-1b2f91bdbf7a",
-  "workflowId": "783b6cb7-838a-440e-8f8e-cf5e4f678f82",
-  "parentMessageId": null,
-  "message": "**Action 2/1 (outlook.composeAndSendEmailWithContext)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including file attachment and appointment summary\n\nNo valid Microsoft connection found\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 5,
-  "publishedAt": 1759625341.6090837,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 2,
-  "documentsLabel": "round1_task1_action2_results",
-  "actionId": "action_78dcd807-5e37-4e6e-a011-98432a9ebaf6",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmailWithContext",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024901_1_1_2/message_text.txt

@@ -1,6 +0,0 @@
-**Action 2/1 (outlook.composeAndSendEmailWithContext)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including file attachment and appointment summary
-
-No valid Microsoft connection found
-

test-chat/obj/m20251005-024911_1_1_3/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_13ce6a34-ee71-4152-a453-5b714470eed5",
-  "workflowId": "783b6cb7-838a-440e-8f8e-cf5e4f678f82",
-  "parentMessageId": null,
-  "message": "**Action 3/1 (outlook.composeAndSendEmailWithContext)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including file attachment and appointment summary\n\nNo valid Microsoft connection found\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 6,
-  "publishedAt": 1759625351.761903,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 3,
-  "documentsLabel": "round1_task1_action3_results",
-  "actionId": "action_28b3fc09-ed1a-42fa-884e-fbeaa2a73a51",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmailWithContext",
-  "success": null,
-  "documents": []
-}

test-chat/obj/m20251005-024911_1_1_3/message_text.txt

@@ -1,6 +0,0 @@
-**Action 3/1 (outlook.composeAndSendEmailWithContext)**
-
-❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including file attachment and appointment summary
-
-No valid Microsoft connection found
-

test-chat/obj/m20251005-024922_1_1_4/message.json

@@ -1,19 +0,0 @@
-{
-  "id": "msg_30d89cfa-57f9-4189-a752-162553feda7a",
-  "workflowId": "783b6cb7-838a-440e-8f8e-cf5e4f678f82",
-  "parentMessageId": null,
-  "message": "**Action 4/1 (outlook.composeAndSendEmailWithContext)**\n\n❌ Compose and send formal email from valueon account to peter.muster@domain.com to reschedule 10:00 appointment to Friday, including file attachment and appointment summary\n\nNo valid Microsoft connection found\n\n",
-  "role": "assistant",
-  "status": "step",
-  "sequenceNr": 7,
-  "publishedAt": 1759625362.0207365,
-  "roundNumber": 1,
-  "taskNumber": 1,
-  "actionNumber": 4,
-  "documentsLabel": "round1_task1_action4_results",
-  "actionId": "action_a66f7cc5-bc11-44b1-affe-6dd0828697da",
-  "actionMethod": "outlook",
-  "actionName": "composeAndSendEmailWithContext",
-  "success": null,
-  "documents": []
-}