@juspay/neurolink/dist/cli/utils/ollamaUtils.d.ts

The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types — generate, stream and decide. `decide` returns typed, calibrated judgements from a non-generative model (~400ms, ~$0.00002

import { type SpawnSyncReturns, type SpawnSyncOptions } from "child_process";
import type { AllowedCommand } from "../../types/index.js";
/**
 * Shared Ollama utilities for CLI commands
 */
export declare class OllamaUtils {
    /**
     * Secure wrapper around spawnSync to prevent command injection.
     */
    static safeSpawn(command: AllowedCommand, args: string[], options?: SpawnSyncOptions): SpawnSyncReturns<string>;
    /**
     * Whether a `safeSpawn` call actually succeeded.
     *
     * `spawnSync` reports failure by RETURNING — `error` set (ENOENT, ETIMEDOUT)
     * or a non-zero `status` — never by throwing. Every `try/catch` around one of
     * these calls was therefore dead code, which is why several fallbacks in this
     * file had never run.
     */
    private static spawnSucceeded;
    /**
     * Check if Ollama command line is available
     */
    private static isOllamaCommandReady;
    /**
     * Validate HTTP API response from Ollama
     */
    private static validateApiResponse;
    /**
     * Check if Ollama HTTP API is ready
     */
    private static isOllamaApiReady;
    /**
     * Wait for Ollama service to become ready with exponential backoff
     */
    static waitForOllamaReady(maxAttempts?: number, initialDelay?: number): Promise<boolean>;
    /**
     * Check if Ollama service is already running
     */
    static isOllamaRunning(): boolean;
    /**
     * Unified Ollama start logic that works across platforms
     */
    static startOllamaService(): Promise<void>;
}