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name: content-guard-env
version: "1.0.0"
description: >
An OpenEnv-compliant training environment for AI content moderation agents.
Simulates Meta-scale Trust & Safety decisions across three progressive tasks:
violation detection, enforcement action, and appeal report generation.
author: mj064
tags:
- openenv
- content-moderation
- trust-and-safety
- meta
- llama-3
- agent-environment
tasks:
- id: easy
name: Violation Classification
description: Mapping social media content against Meta's primary community standard categories.
difficulty: easy
reward_range: [0.05, 0.95]
- id: medium
name: Enforcement Proximity
description: Determining the proportionate enforcement action and severity for a detected policy violation.
difficulty: medium
reward_range: [0.05, 0.95]
- id: hard
name: Appellate Adjudication
description: Generating high-fidelity moderation rulings with evidence-backed policy rationale.
difficulty: hard
reward_range: [0.0, 1.0]
hardware:
cpu: 2
memory_gb: 8
environment:
port: 7860
api:
rest: true
websocket: true
endpoints:
reset: POST /reset
step: POST /step/{episode_id}
state: GET /state/{episode_id}
websocket: WS /ws
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