Chat Bot Diagnostic Visualization via Middleware Adapter
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Solution Overview
Problem
Current chat bot debugging processes are inefficient due to the need for offline debugging, lack of real-time visual insights, and difficulty in understanding chat bot interactions with third-party applications/services, leading to poor user experiences and increased development time.
Innovation Solution
A chat bot diagnostic tool that generates and presents real-time visual insights through a graphical user interface, utilizing a middleware adapter to trace and filter data traffic between the chat bot and its channel, enabling developers to identify and debug issues efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If developers manually review code and add breakpoints to debug chat bot issues, then they can identify and fix bugs, but the process becomes extremely time-consuming and burdensome
Solution Approach 1:
The patent introduces an intermediary component (debugging interface/middleware) that sits between the chat bot execution and the developer. This intermediary automatically captures execution data, message activity, and task state information, presenting it in a correlated visual format that eliminates the need for developers to manually add breakpoints and review code line-by-line.
Solution Approach 2:
The patent replaces the manual mechanical process of code review and breakpoint management with an automated system that continuously monitors and visualizes chat bot execution. The system automatically correlates messages with task states and provides real-time debugging information without requiring manual code inspection.
2Reliability
If chat bot debugging is performed offline as traditional debuggers require, then developers can analyze code, but real-time adaptation during conversational processing becomes impossible
Solution Approach 1:
The patent transforms the static offline debugging process into a dynamic real-time system. The debugging interface continuously updates during chat bot execution, allowing developers to observe and adapt to actual runtime behavior as it occurs, rather than analyzing pre-recorded or offline data.
Solution Approach 2:
The patent enables continuous debugging monitoring during chat bot operation. The system maintains uninterrupted observation of message activity and task states, allowing developers to identify and address issues as they occur in real-time conversational processing, ensuring continuous useful action rather than intermittent offline analysis.
3Reliability
If developers need to understand chat bot interactions with third-party applications/services, then they can debug integration issues, but the complexity of tracing protocol data across multiple systems increases significantly
Solution Approach 1:
The patent merges the visualization of messages and task states into a single correlated display that shows the complete interaction flow between chat bot and third-party systems. This unified view combines protocol data, message activity, and task state changes in one interface, reducing the complexity of understanding multi-system interactions.
Solution Approach 2:
The patent creates a universal debugging interface that can handle and visualize various types of data (messages, protocol data, task states, integration events) from multiple sources (chat bot, third-party applications/services) through a single multi-functional system, eliminating the need for separate debugging tools for each system.
4Ease of operation
If no visual correlation is provided between messages and task state, then the debugging interface remains simple, but developers cannot efficiently understand chat bot behavior and identify issues
Solution Approach 1:
The patent adds a new dimension of visualization by correlating messages with task states in a multi-dimensional display. Instead of showing messages and task states separately, the system creates a correlated view that shows their relationship across different dimensions (time, state transitions, message flow), enabling efficient understanding of chat bot behavior.
Data Source
Figure 1A
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Figure 1C
AI summary
The present disclosure relates to processing operations configured to generate and present a chat bot diagnostic visualization that provides real-time visual insights into operation of a chat bot for debugging assistance. A chat bot diagnostic tool is programmed to launch a graphical user interface that displays a visual representation of diagnostic data for debugging a chat bot in real-time. To enable conversational specific data to be reviewed, the present disclosure is configured to implement a middleware adapter within in a run-time stack of a chat bot that is configured to trace data traffic between a chat bot and a channel of an application/service. This enables the chat bot diagnostic tool to observe data traffic and filter the data traffic to identify relevant data for debugging a chat bot. A debugging data visualization of a chat bot interaction is emulated through a graphical user interface of the chat bot diagnostic tool.