import { LLM, type BaseLLMParams } from "@langchain/core/language_models/llms";
/**
 * Interface for the input parameters specific to the Aleph Alpha LLM.
 */
export interface AlephAlphaInput extends BaseLLMParams {
    model: string;
    maximum_tokens: number;
    minimum_tokens?: number;
    echo?: boolean;
    temperature?: number;
    top_k?: number;
    top_p?: number;
    presence_penalty?: number;
    frequency_penalty?: number;
    sequence_penalty?: number;
    sequence_penalty_min_length?: number;
    repetition_penalties_include_prompt?: boolean;
    repetition_penalties_include_completion?: boolean;
    use_multiplicative_presence_penalty?: boolean;
    use_multiplicative_frequency_penalty?: boolean;
    use_multiplicative_sequence_penalty?: boolean;
    penalty_bias?: string;
    penalty_exceptions?: string[];
    penalty_exceptions_include_stop_sequences?: boolean;
    best_of?: number;
    n?: number;
    logit_bias?: object;
    log_probs?: number;
    tokens?: boolean;
    raw_completion: boolean;
    disable_optimizations?: boolean;
    completion_bias_inclusion?: string[];
    completion_bias_inclusion_first_token_only: boolean;
    completion_bias_exclusion?: string[];
    completion_bias_exclusion_first_token_only: boolean;
    contextual_control_threshold?: number;
    control_log_additive: boolean;
    stop?: string[];
    aleph_alpha_api_key?: string;
    base_url: string;
}
/**
 * Specific implementation of a Large Language Model (LLM) designed to
 * interact with the Aleph Alpha API. It extends the base LLM class and
 * includes a variety of parameters for customizing the behavior of the
 * Aleph Alpha model.
 */
export declare class AlephAlpha extends LLM implements AlephAlphaInput {
    lc_serializable: boolean;
    model: string;
    maximum_tokens: number;
    minimum_tokens: number;
    echo: boolean;
    temperature: number;
    top_k: number;
    top_p: number;
    presence_penalty?: number;
    frequency_penalty?: number;
    sequence_penalty?: number;
    sequence_penalty_min_length?: number;
    repetition_penalties_include_prompt?: boolean;
    repetition_penalties_include_completion?: boolean;
    use_multiplicative_presence_penalty?: boolean;
    use_multiplicative_frequency_penalty?: boolean;
    use_multiplicative_sequence_penalty?: boolean;
    penalty_bias?: string;
    penalty_exceptions?: string[];
    penalty_exceptions_include_stop_sequences?: boolean;
    best_of?: number;
    n?: number;
    logit_bias?: object;
    log_probs?: number;
    tokens?: boolean;
    raw_completion: boolean;
    disable_optimizations?: boolean;
    completion_bias_inclusion?: string[];
    completion_bias_inclusion_first_token_only: boolean;
    completion_bias_exclusion?: string[];
    completion_bias_exclusion_first_token_only: boolean;
    contextual_control_threshold?: number;
    control_log_additive: boolean;
    aleph_alpha_api_key?: string | undefined;
    stop?: string[];
    base_url: string;
    constructor(fields: Partial<AlephAlpha>);
    /**
     * Validates the environment by ensuring the necessary Aleph Alpha API key
     * is available. Throws an error if the API key is missing.
     */
    validateEnvironment(): void;
    /** Get the default parameters for calling Aleph Alpha API. */
    get defaultParams(): {
        model: string;
        temperature: number;
        maximum_tokens: number;
        minimum_tokens: number;
        top_k: number;
        top_p: number;
        presence_penalty: number | undefined;
        frequency_penalty: number | undefined;
        sequence_penalty: number | undefined;
        sequence_penalty_min_length: number | undefined;
        repetition_penalties_include_prompt: boolean | undefined;
        repetition_penalties_include_completion: boolean | undefined;
        use_multiplicative_presence_penalty: boolean | undefined;
        use_multiplicative_frequency_penalty: boolean | undefined;
        use_multiplicative_sequence_penalty: boolean | undefined;
        penalty_bias: string | undefined;
        penalty_exceptions: string[] | undefined;
        penalty_exceptions_include_stop_sequences: boolean | undefined;
        best_of: number | undefined;
        n: number | undefined;
        logit_bias: object | undefined;
        log_probs: number | undefined;
        tokens: boolean | undefined;
        raw_completion: boolean;
        disable_optimizations: boolean | undefined;
        completion_bias_inclusion: string[] | undefined;
        completion_bias_inclusion_first_token_only: boolean;
        completion_bias_exclusion: string[] | undefined;
        completion_bias_exclusion_first_token_only: boolean;
        contextual_control_threshold: number | undefined;
        control_log_additive: boolean;
    };
    /** Get the identifying parameters for this LLM. */
    get identifyingParams(): {
        model: string;
        temperature: number;
        maximum_tokens: number;
        minimum_tokens: number;
        top_k: number;
        top_p: number;
        presence_penalty: number | undefined;
        frequency_penalty: number | undefined;
        sequence_penalty: number | undefined;
        sequence_penalty_min_length: number | undefined;
        repetition_penalties_include_prompt: boolean | undefined;
        repetition_penalties_include_completion: boolean | undefined;
        use_multiplicative_presence_penalty: boolean | undefined;
        use_multiplicative_frequency_penalty: boolean | undefined;
        use_multiplicative_sequence_penalty: boolean | undefined;
        penalty_bias: string | undefined;
        penalty_exceptions: string[] | undefined;
        penalty_exceptions_include_stop_sequences: boolean | undefined;
        best_of: number | undefined;
        n: number | undefined;
        logit_bias: object | undefined;
        log_probs: number | undefined;
        tokens: boolean | undefined;
        raw_completion: boolean;
        disable_optimizations: boolean | undefined;
        completion_bias_inclusion: string[] | undefined;
        completion_bias_inclusion_first_token_only: boolean;
        completion_bias_exclusion: string[] | undefined;
        completion_bias_exclusion_first_token_only: boolean;
        contextual_control_threshold: number | undefined;
        control_log_additive: boolean;
    };
    /** Get the type of LLM. */
    _llmType(): string;
    _call(prompt: string, options: this["ParsedCallOptions"]): Promise<string>;
}