import { t } from '../types/mod.js';
export declare class LLMClient implements t.TaskBasedLLMClient {
    private configLoader?;
    private initialized;
    private logger;
    private manifestPath?;
    private provider?;
    constructor(options?: t.LLMClientOptions);
    /**
     * Get or create the provider instance (lazy initialization)
     */
    private getProvider;
    /**
     * Initialize the client by loading configuration
     */
    initialize(): Promise<void>;
    /**
     * Ensure the client is initialized
     */
    private ensureInitialized;
    /**
     * Get the model ID for a specific task
     */
    getModelForTask(task: string): string;
    /**
     * Get the raw configuration
     */
    getConfig(): t.LLMConfig;
    /**
     * Complete a request with either a prompt string or messages array
     * @param input - Either a prompt string or an array of LLMMessage objects
     * @param options - Optional completion options
     */
    complete(input: string | t.LLMMessage[], options?: t.CompletionOptions): Promise<t.LLMResponse>;
    /**
     * Stream a request with either a prompt string or messages array
     * @param input - Either a prompt string or an array of LLMMessage objects
     * @param options - Optional completion options
     */
    stream(input: string | t.LLMMessage[], options?: t.CompletionOptions): AsyncGenerator<t.LLMStreamChunk>;
    /**
     * Resolve model ID from options or task defaults
     */
    private resolveModelId;
    /**
     * Create a task with resolved configuration
     * @param taskName - The task name to resolve configuration for
     * @param options - Optional task-level options
     */
    createTask(taskName: string, options?: t.LLMTaskOptions): t.LLMTask;
}
/**
 * Create a new LLM client instance
 */
export declare function createLLMClient(options?: t.LLMClientOptions): t.TaskBasedLLMClient;
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