Execution failure in 'chat_with_context': TypeError for unsupported operand 'NoneType' and 'NoneType' in Azure AI Studio Chatbot Deployment

Hun Hui 25 Reputation points
2024-09-27T01:31:54.5633333+00:00

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.

Azure AI Bot Service
Azure AI Bot Service
An Azure service that provides an integrated environment for bot development.
838 questions
Azure AI Search
Azure AI Search
An Azure search service with built-in artificial intelligence capabilities that enrich information to help identify and explore relevant content at scale.
1,015 questions
Azure AI services
Azure AI services
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
2,854 questions
{count} vote

Accepted answer
  1. romungi-MSFT 46,141 Reputation points Microsoft Employee
    2024-10-01T15:57:54.8066667+00:00

    @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.

    2 people found this answer helpful.

0 additional answers

Sort by: Most helpful

Your answer

Answers can be marked as Accepted Answers by the question author, which helps users to know the answer solved the author's problem.