import { Reasoning } from 'openai/resources/shared';
/**
 * Specifies how tools should be chosen by the model.
 * - 'auto': Model decides when to use tools
 * - 'required': Model must use a tool
 * - 'none': Model cannot use tools
 */
type ToolChoice = 'auto' | 'required' | 'none';
/**
 * Settings to use when calling an LLM.
 *
 * This class holds optional model configuration parameters (e.g. temperature,
 * top_p, penalties, truncation, etc.).
 *
 * Not all models/providers support all of these parameters, so please check the API documentation
 * for the specific model and provider you are using.
 */
export declare class ModelSettings {
    /** Control randomness: 0 = deterministic, 1 = maximum variety */
    temperature?: number;
    /** Nucleus sampling parameter */
    top_p?: number;
    /** Discourages repetition of tokens */
    frequency_penalty?: number;
    /** Encourages using new tokens */
    presence_penalty?: number;
    /** Controls how tools are chosen by the model */
    tool_choice?: string & ToolChoice;
    /** Whether to allow parallel tool calls when calling the model.
     * Defaults to False if not provided. */
    parallel_tool_calls?: boolean;
    /** The truncation strategy to use when calling the model */
    truncation?: 'auto' | 'disabled';
    /** The maximum number of output tokens to generate */
    max_tokens?: number;
    /** Whether to store the generated model response for later retrieval.
     * Defaults to True if not provided. */
    store?: boolean;
    /** Whether to include reasoning in the response */
    reasoning?: Reasoning | null;
    /** Additional metadata to include with the request */
    metadata?: any;
    constructor(settings?: Partial<ModelSettings>);
    /**
     * Produce a new ModelSettings instance by overlaying non-undefined values from override
     * on top of this instance.
     */
    resolve(override?: ModelSettings | null): ModelSettings;
}
export {};