import { fetch as undiciFetch } from 'undici';
import type { Dispatcher } from '../audit-runner.js';
/**
 * SECURITY: like the deepseek dispatcher (and decision #7's
 * anthropic-subprocess invariant), the Z.ai URL and the model-name
 * allowlist are HARDCODED. Project-local config can never redirect this
 * dispatcher at a different host or run an unsupported model. Future
 * contributors who feel tempted to read a URL from
 * `.scaffold/observability.yaml` here should re-read the parent design
 * doc's Resolved Decisions table first.
 *
 * Z.ai exposes an OpenAI-compatible chat-completions endpoint, so the
 * request/response shape mirrors the deepseek dispatcher exactly.
 */
export declare const ZAI_URL = "https://api.z.ai/api/paas/v4/chat/completions";
/**
 * Hardcoded allowlist of Z.ai (GLM) model names. The override env var may
 * pick a value from this set — never arbitrary text.
 *
 * - `glm-4.6` (default): flagship reasoning model, 200K context window.
 *   The freshness audit embeds source documents in the prompt and produces
 *   a structured JSON verdict, so a strong reasoner with a large context
 *   window is the best fit.
 * - `glm-4.5-air`: lightweight, cost-optimized variant — the cheaper
 *   override tier, mirroring deepseek's flash/pro split.
 */
declare const ALLOWED_MODELS: readonly ["glm-4.6", "glm-4.5-air"];
export type ZaiModel = typeof ALLOWED_MODELS[number];
export declare const DEFAULT_ZAI_MODEL: ZaiModel;
/** Test-injectable fetch. Production uses undici's fetch. */
export type ZaiFetch = typeof undiciFetch;
export interface BuildZaiDispatcherOptions {
    apiKey: string;
    timeoutSec: number;
    /** Optional model override (must be in the allowlist). */
    model?: string;
    /** Test-injectable fetch implementation. Default: undici's fetch. */
    fetchImpl?: ZaiFetch;
}
export declare function buildZaiDispatcher(opts: BuildZaiDispatcherOptions): Dispatcher;
export {};
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