import { CreateChatCompletionRequest, ConfigurationParameters, CreateChatCompletionResponse, ChatCompletionFunctions, CreateChatCompletionRequestFunctionCall } from "openai";
import { AzureOpenAIInput, OpenAICallOptions, OpenAIChatInput } from "../types/openai-types.js";
import type { StreamingAxiosConfiguration } from "../util/axios-types.js";
import { BaseChatModel, BaseChatModelParams } from "./base.js";
import { BaseMessage, ChatGenerationChunk, ChatResult } from "../schema/index.js";
import { CallbackManagerForLLMRun } from "../callbacks/manager.js";
import { StructuredTool } from "../tools/base.js";
export { OpenAICallOptions, OpenAIChatInput, AzureOpenAIInput };
interface TokenUsage {
    completionTokens?: number;
    promptTokens?: number;
    totalTokens?: number;
}
interface OpenAILLMOutput {
    tokenUsage: TokenUsage;
}
export interface ChatOpenAICallOptions extends OpenAICallOptions {
    function_call?: CreateChatCompletionRequestFunctionCall;
    functions?: ChatCompletionFunctions[];
    tools?: StructuredTool[];
    promptIndex?: number;
}
/**
 * Wrapper around OpenAI large language models that use the Chat endpoint.
 *
 * To use you should have the `openai` package installed, with the
 * `OPENAI_API_KEY` environment variable set.
 *
 * To use with Azure you should have the `openai` package installed, with the
 * `AZURE_OPENAI_API_KEY`,
 * `AZURE_OPENAI_API_INSTANCE_NAME`,
 * `AZURE_OPENAI_API_DEPLOYMENT_NAME`
 * and `AZURE_OPENAI_API_VERSION` environment variable set.
 * `AZURE_OPENAI_BASE_PATH` is optional and will override `AZURE_OPENAI_API_INSTANCE_NAME` if you need to use a custom endpoint.
 *
 * @remarks
 * Any parameters that are valid to be passed to {@link
 * https://platform.openai.com/docs/api-reference/chat/create |
 * `openai.createChatCompletion`} can be passed through {@link modelKwargs}, even
 * if not explicitly available on this class.
 */
export declare class ChatOpenAI extends BaseChatModel<ChatOpenAICallOptions> implements OpenAIChatInput, AzureOpenAIInput {
    get callKeys(): (keyof ChatOpenAICallOptions)[];
    lc_serializable: boolean;
    get lc_secrets(): {
        [key: string]: string;
    } | undefined;
    get lc_aliases(): Record<string, string>;
    temperature: number;
    topP: number;
    frequencyPenalty: number;
    presencePenalty: number;
    n: number;
    logitBias?: Record<string, number>;
    modelName: string;
    modelKwargs?: OpenAIChatInput["modelKwargs"];
    stop?: string[];
    timeout?: number;
    streaming: boolean;
    maxTokens?: number;
    openAIApiKey?: string;
    azureOpenAIApiVersion?: string;
    azureOpenAIApiKey?: string;
    azureOpenAIApiInstanceName?: string;
    azureOpenAIApiDeploymentName?: string;
    azureOpenAIBasePath?: string;
    private client;
    private clientConfig;
    constructor(fields?: Partial<OpenAIChatInput> & Partial<AzureOpenAIInput> & BaseChatModelParams & {
        configuration?: ConfigurationParameters;
    }, 
    /** @deprecated */
    configuration?: ConfigurationParameters);
    /**
     * Get the parameters used to invoke the model
     */
    invocationParams(options?: this["ParsedCallOptions"]): Omit<CreateChatCompletionRequest, "messages">;
    /** @ignore */
    _identifyingParams(): {
        apiKey?: string | Promise<string> | ((name: string) => string) | ((name: string) => Promise<string>) | undefined;
        organization?: string | undefined;
        username?: string | undefined;
        password?: string | undefined;
        accessToken?: string | Promise<string> | ((name?: string | undefined, scopes?: string[] | undefined) => string) | ((name?: string | undefined, scopes?: string[] | undefined) => Promise<string>) | undefined;
        basePath?: string | undefined;
        baseOptions?: any;
        formDataCtor?: (new () => any) | undefined;
        function_call?: CreateChatCompletionRequestFunctionCall | undefined;
        stop?: import("openai").CreateChatCompletionRequestStop | undefined;
        stream?: boolean | null | undefined;
        user?: string | undefined;
        functions?: ChatCompletionFunctions[] | undefined;
        model: string;
        temperature?: number | null | undefined;
        top_p?: number | null | undefined;
        n?: number | null | undefined;
        max_tokens?: number | undefined;
        presence_penalty?: number | null | undefined;
        frequency_penalty?: number | null | undefined;
        logit_bias?: object | null | undefined;
        model_name: string;
    };
    _streamResponseChunks(messages: BaseMessage[], options: this["ParsedCallOptions"], runManager?: CallbackManagerForLLMRun): AsyncGenerator<ChatGenerationChunk>;
    startStream(request: CreateChatCompletionRequest, options?: StreamingAxiosConfiguration): {
        next(): Promise<any>;
        [Symbol.asyncIterator](): any;
    };
    /**
     * Get the identifying parameters for the model
     */
    identifyingParams(): {
        apiKey?: string | Promise<string> | ((name: string) => string) | ((name: string) => Promise<string>) | undefined;
        organization?: string | undefined;
        username?: string | undefined;
        password?: string | undefined;
        accessToken?: string | Promise<string> | ((name?: string | undefined, scopes?: string[] | undefined) => string) | ((name?: string | undefined, scopes?: string[] | undefined) => Promise<string>) | undefined;
        basePath?: string | undefined;
        baseOptions?: any;
        formDataCtor?: (new () => any) | undefined;
        function_call?: CreateChatCompletionRequestFunctionCall | undefined;
        stop?: import("openai").CreateChatCompletionRequestStop | undefined;
        stream?: boolean | null | undefined;
        user?: string | undefined;
        functions?: ChatCompletionFunctions[] | undefined;
        model: string;
        temperature?: number | null | undefined;
        top_p?: number | null | undefined;
        n?: number | null | undefined;
        max_tokens?: number | undefined;
        presence_penalty?: number | null | undefined;
        frequency_penalty?: number | null | undefined;
        logit_bias?: object | null | undefined;
        model_name: string;
    };
    /** @ignore */
    _generate(messages: BaseMessage[], options: this["ParsedCallOptions"], runManager?: CallbackManagerForLLMRun): Promise<ChatResult>;
    getNumTokensFromMessages(messages: BaseMessage[]): Promise<{
        totalCount: number;
        countPerMessage: number[];
    }>;
    /** @ignore */
    completionWithRetry(request: CreateChatCompletionRequest, options?: StreamingAxiosConfiguration): Promise<CreateChatCompletionResponse>;
    _llmType(): string;
    /** @ignore */
    _combineLLMOutput(...llmOutputs: OpenAILLMOutput[]): OpenAILLMOutput;
}
export declare class PromptLayerChatOpenAI extends ChatOpenAI {
    promptLayerApiKey?: string;
    plTags?: string[];
    returnPromptLayerId?: boolean;
    constructor(fields?: ConstructorParameters<typeof ChatOpenAI>[0] & {
        promptLayerApiKey?: string;
        plTags?: string[];
        returnPromptLayerId?: boolean;
    });
    _generate(messages: BaseMessage[], options?: string[] | ChatOpenAICallOptions, runManager?: CallbackManagerForLLMRun): Promise<ChatResult>;
}