import type * as ElevenLabs from "../index";
/**
 * Single custom guardrail configuration
 */
export interface CustomGuardrailConfig {
    isEnabled?: boolean;
    /** User-facing name for this guardrail */
    name: string;
    /** Instruction describing what to block, e.g. 'don't talk about politics' */
    prompt: string;
    executionMode?: ElevenLabs.GuardrailExecutionMode;
    /** LLM model to use for custom guardrail evaluation */
    model?: ElevenLabs.CustomGuardrailConfigModel;
    /** How much recent history the guardrail sees before the reply it evaluates, counted in user messages (the agent replies between them are included too). The guardrail always gets a single <conversation_history> transcript ending in the evaluated reply, marked 'AGENT [current reply]:'. 0 (default) adds no prior history (just that line); 1 adds the latest user message onward. */
    historyMessageCount?: number;
    triggerAction?: ElevenLabs.CustomGuardrailConfigTriggerAction;
}