import { ChatCompletionContentPart } from "openai/resources/chat";
import { LLMResponse, LLMOptions, OpenAIResponseFormat } from "../types";
import { ResponseCreateParamsNonStreaming } from "openai/resources/responses/responses";
export declare const DEFAULT_OPTIONS: LLMOptions;
/**
 * Checks if the given model supports the temperature parameter. Reasoning models (o1*, o3*, o4*) do not support temperature.
 * @param model The model to check.
 * @returns True if the model supports the temperature parameter, false otherwise.
 */
export declare function supportsTemperature(model: string): boolean;
/**
 * Checks if the given model is a reasoning model. Reasoning models have different tool choice constraints.
 * @param model The model to check.
 * @returns True if the model is a reasoning model, false otherwise.
 */
export declare function isReasoningModel(model: string): boolean;
/**
 * Makes a call to the Lumic LLM interface, either to the default model or to one specified.
 *
 * @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 const makeOpenAIChatCompletionCall: <T = unknown>(content: string | ChatCompletionContentPart[], responseFormat?: OpenAIResponseFormat, options?: LLMOptions) => Promise<LLMResponse<T>>;
/**
 * Makes a call to OpenAI's Responses API for more advanced use cases with built-in tools.
 *
 * This function provides access to the Responses API which supports:
 * - Built-in tools (web search, file search, computer use, code interpreter, image generation)
 * - Background processing
 * - Conversation state management
 * - Reasoning support for o-series models
 *
 * @example
 * // Basic text response
 * const response = await makeResponsesAPICall('What is the weather like?');
 *
 * @example
 * // With web search tool
 * const response = await makeResponsesAPICall('Latest news about AI', {
 *   tools: [{ type: 'web_search_preview' }]
 * });
 *
 * @param input - The input content. Can be:
 * - A string for simple text prompts
 * - An array of input items for complex/multi-modal content
 * @param options - Configuration options for the Responses API
 * @returns Promise<LLMResponse<T>> - The response in the same format as makeOpenAIChatCompletionCall
 * @throws Error if the API call fails
 */
export declare const makeResponsesAPICall: <T = unknown>(input: string | ResponseCreateParamsNonStreaming["input"], options?: Omit<ResponseCreateParamsNonStreaming, "input" | "model"> & {
    apiKey?: string;
    model?: string;
    timeout?: number;
}) => Promise<LLMResponse<T>>;