fix:chatbot route now matches new datamodel interface

List endpoint (/api/chatbot/threads without workflowId): Normalizes all workflows before returning, converting maxSteps: None to 10 (the default).
Single workflow endpoint (/api/chatbot/threads?workflowId=xxx): Normalizes the workflow dict, handling both Pydantic models and plain dicts.

modules/features/chatbot/eventManager.py

@@ -109,7 +109,7 @@ class StreamingEventManager:
         Args:
             context_id: Context ID to stream events from
             event_categories: Optional list of event categories to filter by
-            timeout: Optional timeout in seconds (None = no timeout)
+            timeout: Optional timeout in seconds (None = no timeout, default: 300s for long-running streams)
             
         Yields:
             Event dictionaries
@@ -119,26 +119,30 @@ class StreamingEventManager:
             logger.warning(f"No queue found for context {context_id}")
             return
         
-        start_time = asyncio.get_event_loop().time() if timeout else None
+        # Default timeout of 5 minutes for long-running streams if not specified
+        effective_timeout = timeout if timeout is not None else 300.0
+        start_time = asyncio.get_event_loop().time()
+        last_event_time = start_time
+        heartbeat_interval = 30.0  # Send heartbeat every 30 seconds to keep connection alive
         
         while True:
             # Check timeout
-            if timeout and start_time:
             elapsed = asyncio.get_event_loop().time() - start_time
-                if elapsed > timeout:
-                    logger.debug(f"Stream timeout for context {context_id}")
+            if elapsed > effective_timeout:
+                logger.debug(f"Stream timeout for context {context_id} after {effective_timeout}s")
                 break
             
             try:
-                # Wait for event with timeout
-                wait_timeout = 1.0  # Check timeout every second
-                if timeout and start_time:
-                    remaining = timeout - (asyncio.get_event_loop().time() - start_time)
+                # Wait for event with longer timeout to avoid premature closure
+                wait_timeout = heartbeat_interval  # Check every 30 seconds
+                if effective_timeout:
+                    remaining = effective_timeout - elapsed
                     if remaining <= 0:
                         break
                     wait_timeout = min(wait_timeout, remaining)
                 
                 event = await asyncio.wait_for(queue.get(), timeout=wait_timeout)
+                last_event_time = asyncio.get_event_loop().time()
                 
                 # Filter by category if specified
                 if event_categories and event.get("category") not in event_categories:
@@ -147,10 +151,24 @@ class StreamingEventManager:
                 yield event
                 
             except asyncio.TimeoutError:
+                # Send heartbeat to keep connection alive if no events
+                time_since_last_event = asyncio.get_event_loop().time() - last_event_time
+                if time_since_last_event >= heartbeat_interval:
+                    # Send heartbeat event to keep stream alive
+                    heartbeat_event = {
+                        "type": "heartbeat",
+                        "category": "system",
+                        "timestamp": datetime.now().timestamp(),
+                        "data": {"status": "alive"},
+                        "message": None,
+                        "step": None
+                    }
+                    yield heartbeat_event
+                    last_event_time = asyncio.get_event_loop().time()
+                
                 # Check if we should continue or timeout
-                if timeout and start_time:
                 elapsed = asyncio.get_event_loop().time() - start_time
-                    if elapsed >= timeout:
+                if elapsed >= effective_timeout:
                     break
                 continue
             except Exception as e:

modules/features/chatbot/mainChatbot.py

@@ -1521,8 +1521,8 @@ async def _processChatbotMessage(
                 step="complete"
             )
         
-        # Schedule cleanup
-        await event_manager.cleanup(workflowId)
+        # Schedule cleanup with longer delay to allow stream to stay open
+        await event_manager.cleanup(workflowId, delay=300.0)  # 5 minutes delay
         
     except Exception as e:
         logger.error(f"Error processing chatbot message: {str(e)}", exc_info=True)

modules/routes/routeChatbot.py

@@ -357,11 +357,26 @@ async def get_chatbot_threads(
                     detail=f"Workflow with ID {workflowId} not found"
                 )
             
+            # Normalize workflow data to match ChatWorkflow model requirements
+            # Convert workflow object to dict if needed, and normalize None values
+            if hasattr(workflow, 'model_dump'):
+                workflow_dict = workflow.model_dump()
+            elif hasattr(workflow, 'dict'):
+                workflow_dict = workflow.dict()
+            elif isinstance(workflow, dict):
+                workflow_dict = dict(workflow)
+            else:
+                workflow_dict = workflow
+            
+            # Set maxSteps to default value of 10 if None (as per ChatWorkflow model)
+            if workflow_dict.get("maxSteps") is None:
+                workflow_dict["maxSteps"] = 10
+            
             # Get unified chat data for this workflow
             chatData = interfaceDbChat.getUnifiedChatData(workflowId, None)
             
             return {
-                "workflow": workflow,
+                "workflow": workflow_dict,
                 "chatData": chatData
             }
         
@@ -407,6 +422,16 @@ async def get_chatbot_threads(
             totalItems = len(chatbot_workflows_data)
             totalPages = 1
         
+        # Normalize workflow data to match ChatWorkflow model requirements
+        # Convert None values to defaults before response validation
+        normalized_workflows = []
+        for wf in workflows:
+            normalized_wf = dict(wf)  # Create a copy
+            # Set maxSteps to default value of 10 if None (as per ChatWorkflow model)
+            if normalized_wf.get("maxSteps") is None:
+                normalized_wf["maxSteps"] = 10
+            normalized_workflows.append(normalized_wf)
+        
         # Create paginated response
         from modules.datamodels.datamodelPagination import PaginationMetadata
         metadata = PaginationMetadata(
@@ -419,7 +444,7 @@ async def get_chatbot_threads(
         )
         
         return PaginatedResponse(
-            items=workflows,
+            items=normalized_workflows,
             pagination=metadata
         )