import ModelOrch from '../../index';
/**
 * LangChain call options
 */
interface LangChainLLMCallOptions {
    stop?: string[];
    callbacks?: Record<string, unknown>;
}
/**
 * LangChain LLM Adapter
 *
 * Provides backward compatibility with LangChain's BaseLLM interface.
 * Drop-in replacement for LangChain LLM models.
 *
 * @example
 * ```typescript
 * import { ModelOrchLLM} from '@modelorch/sdk/adapters/langchain';
 *
 * const client = new ModelOrch({ api_key: 'your-key' });
 * const llm = new ModelOrchLLM({
 *   client: client,
 *   modelName: 'gpt-4',
 * });
 *
 * const response = await llm.call('What is AI?');
 * ```
 */
export declare class ModelOrchLLM {
    private client;
    private modelName?;
    private temperature?;
    private maxTokens?;
    private policyId?;
    constructor(options: {
        client: ModelOrch;
        modelName?: string;
        temperature?: number;
        maxTokens?: number;
        policyId?: string;
    });
    /**
     * LangChain-compatible call method
     */
    call(prompt: string, options?: LangChainLLMCallOptions): Promise<string>;
    /**
     * LangChain-compatible generate method
     */
    generate(prompts: string[], options?: LangChainLLMCallOptions): Promise<{
        generations: {
            text: string;
        }[][];
    }>;
    /**
     * LangChain-compatible predict method
     */
    predict(text: string, options?: LangChainLLMCallOptions): Promise<string>;
    /**
     * Get model name
     */
    get _llmType(): string;
    /**
     * Get identifying parameters
     */
    get _identifyingParams(): Record<string, unknown>;
}
export {};
//# sourceMappingURL=llm.d.ts.map