/**
 * kosha-discovery — llama.cpp (local) discoverer.
 *
 * I target `llama-server`'s OpenAI-compatible `/v1/models` endpoint so
 * Chitragupta can treat llama.cpp as a first-class local runtime without
 * inventing a second local discovery protocol.
 * @module
 */
import type { CredentialResult, ModelCard } from "../types.js";
import { BaseDiscoverer } from "./base.js";
/**
 * Discover locally served models from a llama.cpp `llama-server` process.
 *
 * The server is local and unauthenticated, so discovery returns an empty list
 * instead of throwing when the daemon is absent.
 */
export declare class LlamaCppDiscoverer extends BaseDiscoverer {
    readonly providerId = "llama.cpp";
    readonly providerName = "llama.cpp (Local)";
    readonly baseUrl: string;
    /**
     * @param baseUrl - Override the default llama.cpp server URL.
     */
    constructor(baseUrl?: string);
    /**
     * Query the local OpenAI-compatible `/v1/models` endpoint.
     */
    discover(_credential: CredentialResult, options?: {
        timeout?: number;
    }): Promise<ModelCard[]>;
    /** Convert an OpenAI-compatible model payload into a normalized card. */
    private toModelCard;
    /** Strip path-like prefixes so local file-system details do not leak into IDs. */
    private normalizeLocalModelId;
    /** Infer the model mode from the normalized model ID. */
    private inferMode;
    /** Infer the free-form raw capability list for compatibility surfaces. */
    private inferRawCapabilities;
    /** Build best-effort local runtime metadata from model payload fields. */
    private buildRuntimeMetadata;
    private normalizeComputeTarget;
    /** Check whether the error represents an unavailable local server. */
    private isConnectionError;
}
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