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I have developed and deployed a chatbot using Azure AI Studio, but I encountered the following error during execution:
Error Message:
Execution failure in 'chat_with_context': (TypeError) unsupported operand type(s) for +: 'NoneType' and 'NoneType'
This error seems to occur when the chatbot attempts to process or concatenate NoneType values during the 'chat_with_context' phase. The error indicates that two NoneType values are being used with the + operator, which is causing a TypeError.
I am looking for guidance on how to troubleshoot and resolve this issue, and would appreciate any suggestions on how to handle NoneType values or avoid this error during deployment.
An Azure service that provides an integrated environment for bot development.
An Azure search service with built-in artificial intelligence capabilities that enrich information to help identify and explore relevant content at scale.
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
@Hun Hui Was this an error that occurred recently after your chatbot was first setup successfully? Which model did you use to deploy as an endpoint and use with chat?
With respect to standard OpenAI models which are deployed as endpoints, I do not think there is an option to lookup the logs of these models, if you have used any model from model catalog then the deployment will display logs when you click on the deployment or endpoint name.
If the error is from webapp deployment then you might have to lookup the webapp logs at the resource level in azure portal to check if there are more details to debug.
If all above options are already checked, please raise a support case from azure portal so that the support team can further take a look at this issue. Thanks!!
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Any updates on the issue? This seems to be also related and I'm having same problem.
https://learn.microsoft.com/en-us/answers/questions/2082208/azure-ml-prompt-flow-qna-model-works-in-worskspace?comment=question#newest-question-comment
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Hi @Rohit Mungi
I am facing the same error even after disabling the tracing. Please find the below log trace.
{
"timestamp": "2025-01-03 19:55:51 +0000",
"application": "pfserving-app",
"log_level": "ERROR",
"message": "Flow run failed with error",
"error_details": {
"message": "Execution failure in 'run_prompt_using_llm': (TypeError) unsupported operand type(s) for +: 'NoneType' and 'NoneType'",
"messageFormat": "Execution failure in '{node_name}'.",
"messageParameters": {
"node_name": "run_prompt_using_llm"
},
"referenceCode": "Tool/promptflow.tools.aoai",
"code": "UserError",
"innerError": {
"code": "ToolExecutionError",
"innerError": null
},
"additionalInfo": [
{
"type": "ToolExecutionErrorDetails",
"info": {
"type": "TypeError",
"message": "unsupported operand type(s) for +: 'NoneType' and 'NoneType'",
"traceback": "Traceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/tracing/_trace.py\", line 561, in wrapped\n token_collector.collect_openai_tokens_for_parent_span(span)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/tracing/_trace.py\", line 143, in collect_openai_tokens_for_parent_span\n merged_tokens = {\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/tracing/_trace.py\", line 144, in <dictcomp>\n key: self._span_id_to_tokens[parent_span_id].get(key, 0) + tokens.get(key, 0)\nTypeError: unsupported operand type(s) for +: 'NoneType' and 'NoneType'\n",
"filename": "/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/tracing/_trace.py",
"lineno": 144,
"name": "<dictcomp>"
}
}
],
"debugInfo": {
"type": "ToolExecutionError",
"message": "Execution failure in 'run_prompt_using_llm': (TypeError) unsupported operand type(s) for +: 'NoneType' and 'NoneType'",
"stackTrace": "\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/executor/flow_executor.py\", line 1034, in _exec\n output, aggregation_inputs = self._exec_inner_with_trace(\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/executor/flow_executor.py\", line 937, in _exec_inner_with_trace\n output, nodes_outputs = self._traverse_nodes(inputs, context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/executor/flow_executor.py\", line 1215, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context, inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/executor/flow_executor.py\", line 1270, in _submit_to_scheduler\n return scheduler.execute(self._line_timeout_sec)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/executor/_flow_nodes_scheduler.py\", line 131, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/executor/_flow_nodes_scheduler.py\", line 113, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/executor/_flow_nodes_scheduler.py\", line 160, in _collect_outputs\n each_node_result = each_future.result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/concurrent/futures/_base.py\", line 439, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/concurrent/futures/_base.py\", line 391, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/concurrent/futures/thread.py\", line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/executor/_flow_nodes_scheduler.py\", line 181, in _exec_single_node_in_thread\n result = context.invoke_tool(node, f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/_core/flow_execution_context.py\", line 90, in invoke_tool\n result = self._invoke_tool_inner(node, f, kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/_core/flow_execution_context.py\", line 206, in _invoke_tool_inner\n raise ToolExecutionError(node_name=node_name, module=module) from e\n",
"innerException": {
"type": "TypeError",
"message": "unsupported operand type(s) for +: 'NoneType' and 'NoneType'",
"stackTrace": "Traceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/_core/flow_execution_context.py\", line 182, in _invoke_tool_inner\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/tracing/_trace.py\", line 561, in wrapped\n token_collector.collect_openai_tokens_for_parent_span(span)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/tracing/_trace.py\", line 143, in collect_openai_tokens_for_parent_span\n merged_tokens = {\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.9/site-packages/promptflow/tracing/_trace.py\", line 144, in <dictcomp>\n key: self._span_id_to_tokens[parent_span_id].get(key, 0) + tokens.get(key, 0)\n",
"innerException": null
}
}
},
"query_asked_on": "2025-01-03 19:58:32 UTC"
}
@Hun Hui Posting the solution from the other thread referenced.
Please try the workaround to disable tracing and redeploy the flow by setting the env var "PF_DISABLE_TRACING" to true, this can avoid the potential error at this time.
If this answers your query, do click Accept Answer and Yes for was this answer helpful. And, if you have any further query do let us know.
It was working well with this code below on "flow.dag.yml"
Thanks!
environment_variables:
PF_DISABLE_TRACING: true
Hi Team,
Is there a permanent fix for this problem which will allow us to use the tracing feature?
This was working in the older version and my client needs this functionality.
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(140.8, 54%, 23%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EDD%3C/text%3E%3C/svg%3E)
@Denesh Mani did you manage to get an answer?
Hi @Diogo Diogo - No, not yet. Still facing the same issue.