import { LLMOptions, LLMResponse, OpenAIModel, OpenAIResponseFormat } from '../types';
import { ChatCompletionContentPart } from 'openai/resources/chat';
import { Tool } from 'openai/resources/responses/responses';
/**
 * Makes a call to the Lumic LLM interface, automatically routing to the correct
 * provider based on the model name.
 *
 * Supported providers:
 * - OpenAI: gpt-5.4, gpt-5.4-mini, gpt-5.4-nano, gpt-5, gpt-5-mini, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o1, o1-mini, o3, o3-mini, o4-mini
 * - Anthropic: claude-opus-4-6, claude-sonnet-4-6, claude-haiku-4-5
 * - Deepseek: deepseek-chat, deepseek-reasoner
 * - Kimi (Moonshot): kimi-k2-0905-preview, kimi-k2-turbo-preview, kimi-k2-thinking, kimi-k2-thinking-turbo
 * - Qwen (DashScope): qwen3.5-plus, qwen3.5-flash, qwen3-max
 * - xAI (Grok): grok-4, grok-4-fast-reasoning, grok-4-fast-non-reasoning, grok-3, grok-3-mini
 * - Gemini: gemini-3.1-pro-preview, gemini-3-flash-preview, gemini-3.1-flash-lite-preview
 *
 * @param content The content to pass to the LLM.
 * @param responseFormat The format of the response. Defaults to 'text'.
 * @param options The options for the LLM call. Defaults to an empty object.
 * @return A promise that resolves to the response from the LLM.
 */
export declare function makeLLMCall<T = unknown>(content: string | ChatCompletionContentPart[], responseFormat?: OpenAIResponseFormat, options?: LLMOptions): Promise<LLMResponse<T>>;
/**
 * Makes a call to the OpenAI Responses API for advanced use cases with built-in tools.
 * This is an OpenAI-specific API and only works with OpenAI models.
 *
 * @param input The text prompt to send to the model (e.g., "What's in this image?")
 * @param options The options for the Responses API call, including optional image data.
 * @return A promise that resolves to the response from the Responses API.
 */
export declare function makeResponsesCall<T = unknown>(input: string, options?: {
    apiKey?: string;
    model?: OpenAIModel;
    responseFormat?: 'text' | 'json';
    tools?: Tool[];
    useCodeInterpreter?: boolean;
    useWebSearch?: boolean;
    imageBase64?: string;
    imageDetail?: 'low' | 'high' | 'auto';
}): Promise<LLMResponse<T>>;