Agent Mode Correlates Deployments and Fixes API Failures

Quick Overview

Agent Mode successfully identified API failures in session management endpoints, correlated these failures directly to a recent deployment (PR15), automatically generated a fix, and validated that the fix resolved the 82% error rate, resulting in all tests passing with 200 OK responses upon merging the change.

Key Points: Agent Mode identified that session management endpoints, specifically token invalidation and logout, had the highest error rates at 82% composed entirely of 500 server errors. The probable root cause analysis suggested a backend service dependency issue concentrated in the failing session endpoints. Agent Mode confirmed a strong correlation between the 500 error spike and a recent deployment, stating, "500 errors in session management endpoints are directly correlated with PR15 by me." After being asked to fix the issues, Agent Mode provided a sequence for running requests correctly (register user, log in, log out) which immediately returned a 200 OK, fixing the two failing requests. The fix was committed, a PR was opened and merged, and subsequent checks confirmed that "zero requests failed," with the previously failing get active sessions request now returning 200 OK. The demonstration confirms Agent Mode's capability to identify failures, correlate them with deployments, fix the failing API requests, and verify the resolution via Git integration checks.

Context: The transcript details a demonstration of 'Agent Mode' functionality, likely an AI or automation tool integrated with API testing and deployment systems like API Catalog and GitHub. A QA engineer initiates the process by querying the system to find test coverage gaps and endpoints with high error rates, leading to the discovery of critical failures in session management functionality.

Detailed Analysis

The demonstration showcases Agent Mode's end-to-end capabilities for identifying, diagnosing, fixing, and verifying API failures. Starting as a QA engineer, the user first queries Agent Mode to find endpoints with low pass rates, revealing that session management endpoints (token invalidation, logout) suffer from an 82% error rate due to 500 server errors. Agent Mode immediately correlates these errors to a specific deployment, PR15, noting that failures began exactly when it was merged and that every run since has failed. Upon instructing Agent Mode to fix the issues, it provided prerequisite steps for running the collection correctly, and upon execution, the failing requests returned 200 OK. The agent fixed the two failing requests, which the user then committed, opened a PR for, and merged. Finally, upon checking the GitHub job, the system verified that zero requests failed, confirming the fix for the previously failing 'get active sessions' endpoint.