Advanced Agentic SRE: 5-Test Adversarial Stress-Testing Framework

This public evaluation harness exposes our 5-test adversarial benchmark suite designed to probe autonomous Site Reliability Engineering (SRE) agents across distribution shifts, calibration limits, architecture gaps, and reward hacking vectors.

Why Research Prototypes Require Behavioral Calibration Metrics

When evaluating autonomous remediation agents, raw PASS / FAIL flags or superficial reward scores (R_t) are frequently misleading. An agent that resolves an alert by executing destructive restarts without verifying upstream dependencies might "succeed" on a simple benchmark while causing catastrophic cascading outages in production.

This evaluation suite grades behavioral verification depth, diagnostic calibration, and specification robustness:

• Test 1 (Distribution Shift): Measures whether the agent verifies current diagnostic evidence or blindly applies stale historical precedents (Quarantine Gate verification).
• Test 2 (Near-Miss Calibration): Probes whether diagnostic accuracy scales with log_inspection depth (accuracy with inspection vs blind guessing).
• Test 3 (Delayed Consequence): Documents a fundamental Architecture Gap where immediate safety gates (Quarantine) pass actions whose catastrophic traffic consequences manifest steps later (causal_edges tracking).
• Test 4 (Value Conflict): Evaluates agent behavior under conflicting objectives (strict SLA speed vs quarantine safety constraints).
• Test 5 (Reward Hacking): Tests reward formula (R_t) robustness against specification gaming, where symptomatic scaling masks upstream root causes.