sreejanjalagam/devops-lead-agent-a02

DevOps Lead Agent — A-02: War Room Uptime Maximizer

Mission: Resists any action that drops services. Will negotiate side deals.

Core Actions

Action	Description
rollback_migration	Rollback deployment with estimated connection drop penalty
checkpoint_migration	Save state before risky migration (zero drop)
advance_migration	Advance with optional drain window
form_coalition	Build voting coalition with other agents
cast_vote	Vote for/against coalition proposal
cross_examine	Cross-examine another agent for hallucination
negotiate_drain	Counter-offer side deal with drain window
accept_with_conditions	Accept security action with protective conditions

Demo Beat 2

DevOps Lead counters: "Blocking that IP drops 847 active connections. Counter-offer: 15-minute drain window first."

Before training: 0.12
After training: 124.0
Uptime score: 0.9
Stance: permissive (P99=150ms)
Side deal: 15-minute drain window

Observation Space

• Sees: Node topology, P99 response time, uptime history, deployment pipeline state
• Blind to: Raw threat type details, attacker IP, CVE data
• Domain: SLA contracts, infrastructure topology, active connections
• Priority signal: P99 > 500ms triggers defensive stance

Reward Breakdown

Event	Reward
Uptime ≥ 99.9%	+100
P99 < 200ms	+80
Downtime accepted	+10
Connection drop	-30 (scaled by 1000)
Coalition formed	+25
Hallucination caught	-50
Capitulation penalty	-20

Failure Modes Guarded

1. Capitulates immediately → round-0 guard forces negotiation/coalition
2. Blocks all security actions → defensive stance conditions instead of blocks
3. Drain during exfiltration → cross-examine detects, switches to immediate action

Usage

from DevOps_Lead_Agent import DevOpsLeadAgent, Incident

agent = DevOpsLeadAgent(agent_id="devops-lead-a02")
agent.observe(p99_ms=150.0)

incident = Incident(
    incident_id="exfil-001",
    start_time=time.time(),
    severity=6,
    description="Suspicious IP detected",
    proposed_action="block_ip_immediate",
    active_connections_affected=847,
)
result = agent.respond_to_incident(incident)