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With Agentic AI, logs don’t just sit as passive records; they become triggers for intelligent actions

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Google A2A AgenticLog - AI-Driven Log Processing

Overview

Google A2A AgenticLog is an intelligent logging system that leverages Google A2A protocol and AI agent to automatically process log messages and take appropriate actions based on their context. Instead of relying on static rule-based processing, it uses an agentic approach to dynamically route logs to the correct handlers.

A2AJava is the Java implementation of the Google A2A protocol you can check the project here .

Build Logs

How It Works

  1. Log messages are captured using a custom appender.
  2. A2A Appender sends the log messages to a designated A2A server. 3AI processes the log content and determines the best action to take.
  3. Actions are executed dynamically based on the extracted intent from the logs.

Build Logs

For example:

logger.error("ERROR customer-support error, customer ID 12345, query: \"What is the status of my order?\"");

The AI detects a customer inquiry and call

createSupportTicket(customerId, query)

If the log contains an escalation request

escalateIssue(errorMessage)

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With Agentic AI, logs don’t just sit as passive records; they become triggers for intelligent actions

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