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Power Platform Community / Forums / Copilot Studio / Inconsistent behavior ...
Copilot Studio
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Inconsistent behavior when using GPT-5 Chat in test mode and published channel (Teams)

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Posted on by 52
Hi community,
 
I just want to ask about a strange behavior when I am using Copilot Studio with GPT-5-Chat.
 
When i test my copilot studio with debug (testing) mode with GPT-5-Chat, it work normally, but when I published to Teams channel, it always return "I am sorry" message that it couldn't return an answer. But when i switch back to GPT-4.1, the behavior is normal and consistent for both testing in debug mode and published in Teams channel. May I know if anyone encountered the same and how to fix it?
 
 
I have the same question (0)
  • Suggested answer
    11manish Profile Picture
    3,333 on at
    This behavior happens because GPT-5 Chat is more strict and sensitive to permission, data access, and tool execution failures in the Teams
     
    channel compared to test mode.
     
    While test mode runs with maker-level access, Teams runs with end-user or bot identity, which often causes connectors, flows, or knowledge
     
    sources to fail. GPT-5 then returns a fallback “I’m sorry” message instead of generating an incomplete answer.
     
    The fix is to validate permissions, connections, DLP policies, and tool accessibility in the Teams channel, and isolate whether the issue is
     
    caused by external dependencies.
  • Suggested answer
    Haque Profile Picture
    3,653 on at
    Hi @KW-18110402-0,
     
    Ah mix of good news and bad news with GPT-5 and GPT 4.1: GPT-5 Chat is more advanced and precise but can be more sensitive to environment configuration, permissions, or runtime conditions in production (Teams) compared to debug mode. GPT-4.1 is more stable and consistent but less precise.
     
     
    Here are some common causes for GPT-5 Chat Issues in Production
     
    • Permissions and Auth: The published bot may lack proper permissions or consent to access required resources or APIs.
    • Configuration Differences: Missing environment variables, connection references, or API keys in production.
    • Timeouts or Throttling: Longer processing times or throttling in production.
    • Licensing or Quota Limits: Usage limits or licensing restrictions in production.
    • Error Handling: Stricter fallback logic returning generic apology messages.

     

    Where to Troubleshoot 

    • Verify all connections and permissions for the agent and GPT-5 Chat in the production environment.
    • Check environment variables and secrets for completeness.
    • Review Power Platform and Azure AD logs for authentication or permission errors.
    • Test the published bot with minimal queries to isolate issues.
    • Monitor API usage and quotas for GPT-5 Chat.
    • Add detailed logging or telemetry to capture error details.
    • Implement fallback or retry logic to handle transient errors.

     

    Trick for Balancing Precision and Stability

    • Use GPT-5 Chat for complex or precision-required queries.
    • Use GPT-4.1 as a fallback for general or conversational queries.

    I am sure some clues I tried to give. If these clues help to resolve the issue brought you by here, please don't forget to check the box Does this answer your question? At the same time, I am pretty sure you have liked the response!
  • KW-18110402-0 Profile Picture
    52 on at
    just some more background on my chatbot, it is a simple RAG chatbot using SharePoint as knowledge source without calling any tool, all permissions work well with GPT-4.1 and license shouldn't be an issue if it works with GPT-4.1?

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