Universal Language Model API for Cross-Platform Log Troubleshooting
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Solution Overview
Problem
Traditional network troubleshooting methods are labor-intensive, prone to errors, and lack the ability to fully understand and interpret the rich context generated in modern network computing environments, leading to inefficiencies and delays in issue resolution.
Innovation Solution
A computing system utilizing a language model to generate information retrieval queries and recommended troubleshooting steps, integrated with application programming interfaces (APIs) to process and analyze log files across diverse network configurations, enhancing processing capabilities and optimizing network resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual log analysis and network topology examination are used, then troubleshooting can be performed with basic tools, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The patent replaces manual mechanical analysis of log files and network topologies with an automated language model system. The language model processes log files, generates troubleshooting queries, and provides recommendations automatically, eliminating the need for manual examination while significantly increasing troubleshooting speed and reducing labor intensity.
Solution Approach 2:
The system enables self-service troubleshooting by automatically analyzing log files and generating troubleshooting steps without requiring expert human intervention. The language model independently processes network data, formulates queries, and produces actionable recommendations, allowing the system to serve itself in the troubleshooting process.
2Productivity
If automated tools are used to process log files, then troubleshooting speed increases, but the ability to understand rich context is reduced
Solution Approach 1:
The language model acts as an intermediary between automated processing and context understanding. It automatically processes log files at high speed while simultaneously comprehending the rich contextual information within them. The model generates natural language queries and explanations that preserve contextual understanding, bridging the gap between automated speed and human-like comprehension.
3Adaptability or versatility
If multiple specialized tools are used for different network configurations, then support for diverse networks improves, but system complexity and integration difficulty increase
Solution Approach 1:
The patent implements a universal language model system that handles multiple network configurations and platforms through a single integrated interface. The model processes log files from various network devices, generates appropriate troubleshooting queries, and provides recommendations across different network types without requiring separate specialized tools, thereby reducing integration complexity while maintaining broad adaptability.
Data Source
AI summary
A computing system for cross-platform support and log summarization includes a language model, APIs, processors, and memories to generate queries and troubleshooting steps from log files and IR system results. A method involves obtaining log files, generating IR system queries, and creating troubleshooting steps using a language model. A non-transitory computer readable medium contains instructions for obtaining log files, generating queries, and creating troubleshooting steps based on log files and IR results.