Mind Expression Docs
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  • Mind Expression Docs
  • Why Mind Expression
  • Quickstarts
    • Create Scope
    • Add Subject
    • Test
    • Audit
  • Concepts
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    • Components
    • Sandbox
    • Conversation history
    • Webhooks and escalation
    • Knowledge
    • Live Chat
    • Target Messages
    • Analytics
  • How-to Guides
    • Set up webhooks and escalation
    • Manage global keys
    • Customize messages
    • Educate AI
      • Manage ontologies
      • Recognition Check
      • Semantic Relations
      • Manage entities
    • Steps
    • Components
      • Normal Components
        • Conditions
        • Selection Classes
        • Parameter Bundles
      • Response Components
        • Component Actions
    • Build Q&A Subjects
      • Case 1. Online Payment
      • Case 2. Data Plans
    • Build Info Search Subjects
      • Case 1. Data Usage
      • Case 2. Payment History
    • Build Query Freestyle Subjects
      • Case 1. Data Purchase
      • Case 2. Change Mobile Plan
    • Intelligent Process
      • Introduction to Mindscript
      • Mindscript with Mind Expression
      • Frequently Asked Question
      • Package: Collections and Sequenceable
      • Package: Collections Unordered
      • Package: Collections-Strings
      • Package: Engine-Conversation
      • Package: Kernel-HTTP
      • Package: Kernel-Methods
      • Package: Kernel-Numbers
      • Package: Kernel-Dates
      • Package: Kernel-Objects
      • Package: Kernel Exceptions
      • Package: Cryptography
    • Test and debug
    • Integration
      • Mind Expression API
      • Chat Widget
      • LINE
      • Facebook Messenger
      • Viber
      • Instagram
      • Discord
      • WhatsApp
      • Google Sheet
        • Google Sheet Webhook
      • Google Calendar
        • Google Calendar Webhook
        • Google Calendar: Use Cases
    • Audit AI Activities
    • Live Chat
    • Target Messages
    • Back up, import and restore Scopes
  • Reference
    • Glossary
    • API Docs
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  1. Concepts

Conversation history

PreviousSandboxNextWebhooks and escalation

Last updated 2 years ago

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Each pair of customer-AI messages is logged chronologically at the Scope level for audit. The information you can trace in Conversation History includes the input message from the customer, how the AI interpreted the message, how the reasoning engine classified the conversation model, the input parameters and response when a webhook is used, and how the AI responds. For detailed information on how to audit your sessions, see .

How-to Guides: Audit AI activities