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- counterfactual: Agent vs optimal action delta per step
endpoints:
reset:
method: POST
path: /reset
params:
difficulty: query[easy|medium|hard]
step:
method: POST
path: /step
params:
difficulty: query[easy|medium|hard]
body: Action
state:
method: GET
path: /state
params:
difficulty: query[easy|medium|hard]
health:
method: GET
path: /health
tasks:
method: GET
path: /tasks
deployment:
platform: huggingface-spaces
runtime: docker
port: 7860
health_check: /health
name: autonomous-enterprise-chaosops-arena
version: "1.0.0"
description: >
AI training environment simulating an enterprise DevOps + Incident Response
engineer operating under dynamic, chaotic conditions. Agents must triage
incidents, diagnose failures, and stabilize production systems under pressure.
author: ACEA Team
license: MIT
environment:
class: ACEAEnvironment
module: env.environment
api_version: "openenv-1.0"
api:
reset:
description: Reset environment to initial state for given difficulty
returns: Observation
step:
description: Execute one action step
input: Action
returns:
observation: Observation
reward: float
done: bool
info: dict
state:
description: Return full internal environment state
returns: dict
observation_space:
type: structured
schema: env.models.Observation
fields:
alerts:
type: list[Alert]
description: Active system alerts with severity and service attribution
logs:
type: list[LogEntry]
description: Recent system logs (AWS/Kubernetes style)
tickets:
type: list[Ticket]
description: Customer support tickets including escalations
system_health:
type: SystemHealth
description: Real-time system metrics (CPU, memory, latency, uptime, error_rate)
active_incidents:
type: list[Incident]
description: Currently active incidents requiring resolution
risk_level:
type: enum[low, medium, high, critical]
description: Overall system risk classification
time_elapsed:
type: int
description: Seconds elapsed since episode start
chaos_events:
type: list[ChaosEvent]
description: Chaos events injected this step
step_count:
type: int
description: Current step index
action_space:
type: structured
schema: env.models.Action
fields:
type:
type: enum