Moderation API is the service interface for classifying text or media against safety policy categories before or after model generation - it enables automated enforcement of content standards in production systems.

What Is Moderation API?

• Definition: Programmatic endpoint that returns category flags and confidence signals for policy-relevant content classes.
• Pipeline Position: Commonly used on inbound prompts and outbound model responses.
• Decision Use: Supports block, transform, warn, or escalate actions based on detected risk.
• Integration Requirement: Must be paired with clear policy logic and incident handling workflows.

Why Moderation API Matters

• Safety Automation: Provides scalable content screening at low latency.
• Risk Reduction: Prevents many harmful requests and outputs from reaching end users.
• Policy Consistency: Standardizes enforcement across applications and channels.
• Operational Monitoring: Moderation outcomes provide telemetry for safety analytics.
• Compliance Enablement: Supports governance requirements for controlled AI deployment.

How It Is Used in Practice

• Pre-Check and Post-Check: Apply moderation both before generation and before response delivery.
• Category Mapping: Translate model categories into product-specific action policies.
• Fallback Handling: Route uncertain or high-risk cases to human review or safe-response templates.

Moderation API is a core safety infrastructure component for LLM applications - reliable policy enforcement depends on tight integration between moderation signals and downstream action logic.