/** Default base URL for the local Ollama server (OpenAI-compat endpoint lives under /v1). */
export declare const DEFAULT_OLLAMA_BASE_URL = "http://localhost:11434";
export interface CustomBackend {
    /** Base URL (no trailing /v1/chat/completions — run.ts normalizes that). */
    url: string;
    /** True when this resolved from the `ollama` alias (enables model auto-pick). */
    isOllama: boolean;
}
/**
 * Resolve a custom (keyless, OpenAI-compatible) LLM backend from env + persisted
 * config, or null when none applies (a cloud provider or nothing is configured).
 *
 *   - http(s):// URL in WIGOLO_LLM_PROVIDER → { url, isOllama: false }
 *   - `ollama` in WIGOLO_LLM_PROVIDER or config.json llmProvider
 *       → { url: WIGOLO_LLM_BASE_URL ?? http://localhost:11434, isOllama: true }
 *   - anything else (provider id, unset) → null
 *
 * Env wins over persisted config: a URL or cloud-provider id in
 * WIGOLO_LLM_PROVIDER is authoritative and short-circuits the config.json check.
 */
export declare function resolveCustomBackend(env?: Record<string, string | undefined>): CustomBackend | null;
/**
 * Synthesis models known to produce decent prose, highest priority first. The
 * runner picks the first installed prefix match from /api/tags before falling
 * back to the first installed model, then to RECOMMENDED_OLLAMA_MODEL.
 */
export declare const OLLAMA_MODEL_PRIORITY: readonly string[];
/** Fallback model name when /api/tags is unreachable or returns nothing. */
export declare const RECOMMENDED_OLLAMA_MODEL = "llama3.1";
/**
 * Pick an Ollama model for synthesis from the running server's installed list.
 *   1. first installed model whose name starts with a priority prefix
 *   2. else the first installed model
 *   3. else (tags query fails / empty) the recommended fallback name
 *
 * `fetchImpl` is injected for testability; defaults to global fetch.
 */
export declare function pickOllamaModel(baseUrl: string, fetchImpl?: typeof fetch, signal?: AbortSignal): Promise<string>;
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