Agent Service Status Verification via Periodic Health Checks
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Solution Overview
Problem
Excessive network transmissions of network traffic data can lead to inefficient processing and response times, particularly when computing devices are at or above their processing capacity, and can result in invalid or improper function calls between digital assistant applications and agent services, causing breakdowns in their interfacing and making it difficult to determine the full capabilities of agent services.
Innovation Solution
A system and method that includes a data processing system with components like a response logger, probe monitor, status evaluator, and agent manager to monitor the performance of agent services by analyzing response logs and querying the agent service, determining operational statuses, and configuring digital assistant applications based on these statuses to ensure efficient interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the digital assistant application continuously transmits requests to the agent service to maintain interface functionality, then the application can detect operational status changes, but excessive network transmissions occur which degrade processing efficiency and bandwidth utilization
Solution Approach 1:
The system implements periodic health check requests at predetermined time intervals to monitor agent service operational status. This periodic action replaces continuous transmission, reducing network traffic while maintaining reliable detection of status changes. The probe monitor component sends requests only at scheduled intervals rather than continuously, resolving the contradiction between maintaining interface functionality and preserving processing efficiency.
2Loss of time
If the system increases monitoring frequency to detect operational status changes timely, then response time improves, but network traffic and processing load increase
Solution Approach 1:
The system performs preliminary actions by sending probe requests at predetermined intervals before actual operational failures occur. This allows early detection of status changes without requiring continuous monitoring. The health check mechanism proactively checks status at scheduled times, reducing detection response time while avoiding excessive network traffic that would result from continuous monitoring.
3Reliability
If the digital assistant application maintains persistent connection to agent service, then interface reliability is improved, but system complexity increases to handle connection management and error recovery
Solution Approach 1:
The agent service autonomously manages its own operational status and responds to health check requests with current status information. This self-service approach eliminates the need for complex connection management logic in the digital assistant application. The agent service independently handles its state, and the application simply queries status at predetermined intervals, reducing overall system complexity while maintaining interface reliability.
Data Source
AI summary
The present disclosure is generally related to a data processing system to determine operational statuses of agents interfacing with digital assistant applications. The data processing system can access a log database. The log database can maintain response metrics for an agent service. Each response metric can correspond to a response by the agent service to a request generated by a digital assistant application responsive to an input audio signal. The data processing system can transmit a ping request to the agent service and can wait for a second response from the agent service. The data processing system can determine an operational status of the agent service based on the response metrics and on a time elapsed since the transmission of the ping request. The data processing system can cause the digital assistant application to perform an action based on the operational status.