Interactive LLM Network Troubleshooting With Real-Time Step Updates
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Solution Overview
Problem
Large language models (LLMs) used for network troubleshooting can take significant time to provide answers due to multiple steps and their opaque nature, leading to user frustration and distrust, especially when intermediate steps are hidden.
Innovation Solution
A highly interactive LLM-based troubleshooting agent that provides real-time updates and allows user collaboration, using a series of steps to troubleshoot issues and trigger actions, with mechanisms to determine issue resolution and improve agent training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the agent performs multiple steps to troubleshoot network issues using LLMs, then the troubleshooting capability and accuracy are improved, but the response time increases significantly (minutes)
Solution Approach 1:
The patent segments the troubleshooting process into multiple discrete steps that can be executed and tracked independently. Each step represents a specific action or information gathering task, allowing the system to break down complex troubleshooting into manageable units that can be processed more efficiently and presented to users in a structured manner.
Solution Approach 2:
The patent implements preliminary actions by pre-defining troubleshooting steps and potential actions that the agent can take. The system prepares a structured framework of possible troubleshooting paths in advance, allowing it to quickly select and execute appropriate steps rather than generating everything from scratch during the interaction.
2Reliability
If the agent executes multiple intermediate steps to produce an answer, then the troubleshooting thoroughness is improved, but the transparency to the user deteriorates as steps become hidden
Solution Approach 1:
The patent implements feedback mechanisms that provide users with visible updates on the agent's progress through each troubleshooting step. The system feeds back information about what actions are being taken, what information is being gathered, and the current state of the troubleshooting process, making the otherwise hidden intermediate steps visible and understandable to users.
Solution Approach 2:
By segmenting the troubleshooting process into discrete, identifiable steps, the patent enables the system to present each step separately to the user. This segmentation allows for granular transparency where users can see and understand individual actions rather than a black-box process, maintaining trust while preserving thoroughness.
3Measurement precision
If the agent takes considerable time to refine its plan and execute steps, then the answer accuracy is improved, but the user experience deteriorates due to uncertainty and delay
Solution Approach 1:
The patent implements periodic action by providing users with regular status updates at defined intervals during the troubleshooting process. Rather than requiring users to wait passively for the final answer, the system periodically communicates progress, current step status, and next anticipated actions, reducing uncertainty and improving perceived responsiveness.
Solution Approach 2:
The system performs preliminary actions by pre-structuring the troubleshooting plan and communicating it to users upfront. This allows users to understand what to expect and reduces anxiety about the process duration, improving ease of operation while maintaining the thoroughness needed for accurate answers.
Data Source
AI summary
In one implementation, a device obtains a prompt from a user interface that requests a network troubleshooting agent complete a task with respect to a computer network using one or more language models. The device identifies, using the network troubleshooting agent, a series of steps for the network troubleshooting agent to perform in order to complete the task. The device uses the network troubleshooting agent to perform the series of steps using the one or more language models. The device provides update information to the user interface regarding performance of one or more of the series of steps by the network troubleshooting agent.