Configuration Overview

Elsai Guardrails provides flexible configuration options to customize guardrail behavior for your specific use case.

Configuration Methods

1. YAML Configuration - Recommended for most use cases
2. Programmatic Configuration - For dynamic configuration

Configuration Sections

LLM Configuration

Configure the language model provider and settings. See LLM Configuration for details.

Guardrails Configuration

Configure safety checks and validation rules. See Guardrails Configuration for details.

Quick Reference

llm:
  engine: "openai"           # LLM provider
  model: "gpt-4o-mini"        # Model name
  api_key: "sk-..."           # API key
  temperature: 0.7             # Generation temperature

guardrails:
  input_checks: true           # Validate input
  output_checks: true          # Validate output
  check_toxicity: true        # Enable toxicity detection
  check_sensitive_data: true  # Enable sensitive data detection
  check_semantic: true        # Enable semantic classification
  toxicity_threshold: 0.7     # Toxicity blocking threshold
  block_toxic: true           # Block toxic content
  block_sensitive_data: true  # Block sensitive data

Configuration Files

See YAML Configuration for complete configuration file examples.