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Amazon Q Business conversation log query examples - Amazon Q Business

Amazon Q Business will no longer be open to new customers starting on July 31, 2026. If you would like to use the service, please sign up prior to July 30. For capabilities similar to Q Business, explore Amazon Quick. Learn more.

Amazon Q Business conversation log query examples

You can use CloudWatch Logs insights to interact with conversation and feedback logs from Amazon Q Business. The following are examples of common queries.

  • Query for all the feedback type logs.

    filter log_type = "Feedback"

  • Query for all the chat type logs.

    filter log_type = "VendedAnalyticsChat"

  • Query for chat logs related to particular conversation.

    filter conversation_id = <conversation_id>

  • Query for chat logs where customer message with certain pattern.

    filter customer_message like /pattern/

  • Query for chat logs where system response message with certain pattern.

    filter system_message like /pattern/

  • Query for chat logs where system not able to provide answer.

    filter system_message like /Sorry, I could not find relevant information to complete your request./

  • Query for chat logs where system not able to provide answer.

    filter output_metrics_is_message_with_no_answer = 1

  • Query for chat logs where customer message was blocked.

    filter output_metrics_is_message_blocked = 1

  • Query for all the feedback logs where system answer was marked useful.

    filter usefulness = "USEFUL"

  • Query for all the feedback logs where system answer was marked not useful.

    filter usefulness = "NOT_USEFUL"

  • Query for all the feedback logs where system answer was marked not useful with reason “Other”.

    filter usefulness = "NOT_USEFUL" and usefulness_reason = "OTHER"

  • Query all feedback logs where system message was hallucinated

    filter hallucinated_message != "NOT TRIGGERED" and hallucinated_message != NO HALLUCINATION DETECTED