import * as Core from "../../core.js";
import { APIPromise } from "../../core.js";
import { APIResource } from "../../resource.js";
import * as ChatCompletionsAPI from "./completions.js";
import * as CompletionsAPI from "../completions.js";
import * as Shared from "../shared.js";
import * as ChatAPI from "./chat.js";
import { Stream } from "../../streaming.js";
export declare class Completions extends APIResource {
    /**
     * Creates a model response for the given chat conversation.
     */
    create(body: ChatCompletionCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise<ChatCompletion>;
    create(body: ChatCompletionCreateParamsStreaming, options?: Core.RequestOptions): APIPromise<Stream<ChatCompletionChunk>>;
    create(body: ChatCompletionCreateParamsBase, options?: Core.RequestOptions): APIPromise<Stream<ChatCompletionChunk> | ChatCompletion>;
}
/**
 * Represents a chat completion response returned by model, based on the provided
 * input.
 */
export interface ChatCompletion {
    /**
     * A unique identifier for the chat completion.
     */
    id: string;
    /**
     * A list of chat completion choices. Can be more than one if `n` is greater
     * than 1.
     */
    choices: Array<ChatCompletion.Choice>;
    /**
     * The Unix timestamp (in seconds) of when the chat completion was created.
     */
    created: number;
    /**
     * The model used for the chat completion.
     */
    model: string;
    /**
     * The object type, which is always `chat.completion`.
     */
    object: 'chat.completion';
    /**
     * This fingerprint represents the backend configuration that the model runs with.
     *
     * Can be used in conjunction with the `seed` request parameter to understand when
     * backend changes have been made that might impact determinism.
     */
    system_fingerprint?: string;
    /**
     * Usage statistics for the completion request.
     */
    usage?: CompletionsAPI.CompletionUsage;
}
export declare namespace ChatCompletion {
    interface Choice {
        /**
         * The reason the model stopped generating tokens. This will be `stop` if the model
         * hit a natural stop point or a provided stop sequence, `length` if the maximum
         * number of tokens specified in the request was reached, `content_filter` if
         * content was omitted due to a flag from our content filters, `tool_calls` if the
         * model called a tool, or `function_call` (deprecated) if the model called a
         * function.
         */
        finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call';
        /**
         * The index of the choice in the list of choices.
         */
        index: number;
        /**
         * Log probability information for the choice.
         */
        logprobs: Choice.Logprobs | null;
        /**
         * A chat completion message generated by the model.
         */
        message: ChatCompletionsAPI.ChatCompletionMessage;
    }
    namespace Choice {
        /**
         * Log probability information for the choice.
         */
        interface Logprobs {
            /**
             * A list of message content tokens with log probability information.
             */
            content: Array<ChatCompletionsAPI.ChatCompletionTokenLogprob> | null;
        }
    }
}
export interface ChatCompletionAssistantMessageParam {
    /**
     * The role of the messages author, in this case `assistant`.
     */
    role: 'assistant';
    /**
     * The contents of the assistant message. Required unless `tool_calls` or
     * `function_call` is specified.
     */
    content?: string | null;
    /**
     * @deprecated: Deprecated and replaced by `tool_calls`. The name and arguments of
     * a function that should be called, as generated by the model.
     */
    function_call?: ChatCompletionAssistantMessageParam.FunctionCall;
    /**
     * An optional name for the participant. Provides the model information to
     * differentiate between participants of the same role.
     */
    name?: string;
    /**
     * The tool calls generated by the model, such as function calls.
     */
    tool_calls?: Array<ChatCompletionMessageToolCall>;
}
export declare namespace ChatCompletionAssistantMessageParam {
    /**
     * @deprecated: Deprecated and replaced by `tool_calls`. The name and arguments of
     * a function that should be called, as generated by the model.
     */
    interface FunctionCall {
        /**
         * The arguments to call the function with, as generated by the model in JSON
         * format. Note that the model does not always generate valid JSON, and may
         * hallucinate parameters not defined by your function schema. Validate the
         * arguments in your code before calling your function.
         */
        arguments: string;
        /**
         * The name of the function to call.
         */
        name: string;
    }
}
/**
 * Represents a streamed chunk of a chat completion response returned by model,
 * based on the provided input.
 */
export interface ChatCompletionChunk {
    /**
     * A unique identifier for the chat completion. Each chunk has the same ID.
     */
    id: string;
    /**
     * A list of chat completion choices. Can contain more than one elements if `n` is
     * greater than 1. Can also be empty for the last chunk if you set
     * `stream_options: {"include_usage": true}`.
     */
    choices: Array<ChatCompletionChunk.Choice>;
    /**
     * The Unix timestamp (in seconds) of when the chat completion was created. Each
     * chunk has the same timestamp.
     */
    created: number;
    /**
     * The model to generate the completion.
     */
    model: string;
    /**
     * The object type, which is always `chat.completion.chunk`.
     */
    object: 'chat.completion.chunk';
    /**
     * This fingerprint represents the backend configuration that the model runs with.
     * Can be used in conjunction with the `seed` request parameter to understand when
     * backend changes have been made that might impact determinism.
     */
    system_fingerprint?: string;
    /**
     * An optional field that will only be present when you set
     * `stream_options: {"include_usage": true}` in your request. When present, it
     * contains a null value except for the last chunk which contains the token usage
     * statistics for the entire request.
     */
    usage?: CompletionsAPI.CompletionUsage;
}
export declare namespace ChatCompletionChunk {
    interface Choice {
        /**
         * A chat completion delta generated by streamed model responses.
         */
        delta: Choice.Delta;
        /**
         * The reason the model stopped generating tokens. This will be `stop` if the model
         * hit a natural stop point or a provided stop sequence, `length` if the maximum
         * number of tokens specified in the request was reached, `content_filter` if
         * content was omitted due to a flag from our content filters, `tool_calls` if the
         * model called a tool, or `function_call` (deprecated) if the model called a
         * function.
         */
        finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call' | null;
        /**
         * The index of the choice in the list of choices.
         */
        index: number;
        /**
         * Log probability information for the choice.
         */
        logprobs?: Choice.Logprobs | null;
    }
    namespace Choice {
        /**
         * A chat completion delta generated by streamed model responses.
         */
        interface Delta {
            /**
             * The contents of the chunk message.
             */
            content?: string | null;
            /**
             * @deprecated: Deprecated and replaced by `tool_calls`. The name and arguments of
             * a function that should be called, as generated by the model.
             */
            function_call?: Delta.FunctionCall;
            /**
             * The role of the author of this message.
             */
            role?: 'system' | 'user' | 'assistant' | 'tool';
            tool_calls?: Array<Delta.ToolCall>;
        }
        namespace Delta {
            /**
             * @deprecated: Deprecated and replaced by `tool_calls`. The name and arguments of
             * a function that should be called, as generated by the model.
             */
            interface FunctionCall {
                /**
                 * The arguments to call the function with, as generated by the model in JSON
                 * format. Note that the model does not always generate valid JSON, and may
                 * hallucinate parameters not defined by your function schema. Validate the
                 * arguments in your code before calling your function.
                 */
                arguments?: string;
                /**
                 * The name of the function to call.
                 */
                name?: string;
            }
            interface ToolCall {
                index: number;
                /**
                 * The ID of the tool call.
                 */
                id?: string;
                function?: ToolCall.Function;
                /**
                 * The type of the tool. Currently, only `function` is supported.
                 */
                type?: 'function';
            }
            namespace ToolCall {
                interface Function {
                    /**
                     * The arguments to call the function with, as generated by the model in JSON
                     * format. Note that the model does not always generate valid JSON, and may
                     * hallucinate parameters not defined by your function schema. Validate the
                     * arguments in your code before calling your function.
                     */
                    arguments?: string;
                    /**
                     * The name of the function to call.
                     */
                    name?: string;
                }
            }
        }
        /**
         * Log probability information for the choice.
         */
        interface Logprobs {
            /**
             * A list of message content tokens with log probability information.
             */
            content: Array<ChatCompletionsAPI.ChatCompletionTokenLogprob> | null;
        }
    }
}
export type ChatCompletionContentPart = ChatCompletionContentPartText | ChatCompletionContentPartImage;
export interface ChatCompletionContentPartImage {
    image_url: ChatCompletionContentPartImage.ImageURL;
    /**
     * The type of the content part.
     */
    type: 'image_url';
}
export declare namespace ChatCompletionContentPartImage {
    interface ImageURL {
        /**
         * Either a URL of the image or the base64 encoded image data.
         */
        url: string;
        /**
         * Specifies the detail level of the image. Learn more in the
         * [Vision guide](https://platform.openai.com/docs/guides/vision/low-or-high-fidelity-image-understanding).
         */
        detail?: 'auto' | 'low' | 'high';
    }
}
export interface ChatCompletionContentPartText {
    /**
     * The text content.
     */
    text: string;
    /**
     * The type of the content part.
     */
    type: 'text';
}
/**
 * Specifying a particular function via `{"name": "my_function"}` forces the model
 * to call that function.
 */
export interface ChatCompletionFunctionCallOption {
    /**
     * The name of the function to call.
     */
    name: string;
}
/**
 * @deprecated
 */
export interface ChatCompletionFunctionMessageParam {
    /**
     * The contents of the function message.
     */
    content: string | null;
    /**
     * The name of the function to call.
     */
    name: string;
    /**
     * The role of the messages author, in this case `function`.
     */
    role: 'function';
}
/**
 * A chat completion message generated by the model.
 */
export interface ChatCompletionMessage {
    /**
     * The contents of the message.
     */
    content: string | null;
    /**
     * The role of the author of this message.
     */
    role: 'assistant';
    /**
     * @deprecated: Deprecated and replaced by `tool_calls`. The name and arguments of
     * a function that should be called, as generated by the model.
     */
    function_call?: ChatCompletionMessage.FunctionCall;
    /**
     * The tool calls generated by the model, such as function calls.
     */
    tool_calls?: Array<ChatCompletionMessageToolCall>;
}
export declare namespace ChatCompletionMessage {
    /**
     * @deprecated: Deprecated and replaced by `tool_calls`. The name and arguments of
     * a function that should be called, as generated by the model.
     */
    interface FunctionCall {
        /**
         * The arguments to call the function with, as generated by the model in JSON
         * format. Note that the model does not always generate valid JSON, and may
         * hallucinate parameters not defined by your function schema. Validate the
         * arguments in your code before calling your function.
         */
        arguments: string;
        /**
         * The name of the function to call.
         */
        name: string;
    }
}
export type ChatCompletionMessageParam = ChatCompletionSystemMessageParam | ChatCompletionUserMessageParam | ChatCompletionAssistantMessageParam | ChatCompletionToolMessageParam | ChatCompletionFunctionMessageParam;
export interface ChatCompletionMessageToolCall {
    /**
     * The ID of the tool call.
     */
    id: string;
    /**
     * The function that the model called.
     */
    function: ChatCompletionMessageToolCall.Function;
    /**
     * The type of the tool. Currently, only `function` is supported.
     */
    type: 'function';
}
export declare namespace ChatCompletionMessageToolCall {
    /**
     * The function that the model called.
     */
    interface Function {
        /**
         * The arguments to call the function with, as generated by the model in JSON
         * format. Note that the model does not always generate valid JSON, and may
         * hallucinate parameters not defined by your function schema. Validate the
         * arguments in your code before calling your function.
         */
        arguments: string;
        /**
         * The name of the function to call.
         */
        name: string;
    }
}
/**
 * Specifies a tool the model should use. Use to force the model to call a specific
 * function.
 */
export interface ChatCompletionNamedToolChoice {
    function: ChatCompletionNamedToolChoice.Function;
    /**
     * The type of the tool. Currently, only `function` is supported.
     */
    type: 'function';
}
export declare namespace ChatCompletionNamedToolChoice {
    interface Function {
        /**
         * The name of the function to call.
         */
        name: string;
    }
}
/**
 * The role of the author of a message
 */
export type ChatCompletionRole = 'system' | 'user' | 'assistant' | 'tool' | 'function';
/**
 * Options for streaming response. Only set this when you set `stream: true`.
 */
export interface ChatCompletionStreamOptions {
    /**
     * If set, an additional chunk will be streamed before the `data: [DONE]` message.
     * The `usage` field on this chunk shows the token usage statistics for the entire
     * request, and the `choices` field will always be an empty array. All other chunks
     * will also include a `usage` field, but with a null value.
     */
    include_usage?: boolean;
}
export interface ChatCompletionSystemMessageParam {
    /**
     * The contents of the system message.
     */
    content: string;
    /**
     * The role of the messages author, in this case `system`.
     */
    role: 'system';
    /**
     * An optional name for the participant. Provides the model information to
     * differentiate between participants of the same role.
     */
    name?: string;
}
export interface ChatCompletionTokenLogprob {
    /**
     * The token.
     */
    token: string;
    /**
     * A list of integers representing the UTF-8 bytes representation of the token.
     * Useful in instances where characters are represented by multiple tokens and
     * their byte representations must be combined to generate the correct text
     * representation. Can be `null` if there is no bytes representation for the token.
     */
    bytes: Array<number> | null;
    /**
     * The log probability of this token, if it is within the top 20 most likely
     * tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
     * unlikely.
     */
    logprob: number;
    /**
     * List of the most likely tokens and their log probability, at this token
     * position. In rare cases, there may be fewer than the number of requested
     * `top_logprobs` returned.
     */
    top_logprobs: Array<ChatCompletionTokenLogprob.TopLogprob>;
}
export declare namespace ChatCompletionTokenLogprob {
    interface TopLogprob {
        /**
         * The token.
         */
        token: string;
        /**
         * A list of integers representing the UTF-8 bytes representation of the token.
         * Useful in instances where characters are represented by multiple tokens and
         * their byte representations must be combined to generate the correct text
         * representation. Can be `null` if there is no bytes representation for the token.
         */
        bytes: Array<number> | null;
        /**
         * The log probability of this token, if it is within the top 20 most likely
         * tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
         * unlikely.
         */
        logprob: number;
    }
}
export interface ChatCompletionTool {
    function: Shared.FunctionDefinition;
    /**
     * The type of the tool. Currently, only `function` is supported.
     */
    type: 'function';
}
/**
 * Controls which (if any) tool is called by the model. `none` means the model will
 * not call any tool and instead generates a message. `auto` means the model can
 * pick between generating a message or calling one or more tools. `required` means
 * the model must call one or more tools. Specifying a particular tool via
 * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
 * call that tool.
 *
 * `none` is the default when no tools are present. `auto` is the default if tools
 * are present.
 */
export type ChatCompletionToolChoiceOption = 'none' | 'auto' | 'required' | ChatCompletionNamedToolChoice;
export interface ChatCompletionToolMessageParam {
    /**
     * The contents of the tool message.
     */
    content: string;
    /**
     * The role of the messages author, in this case `tool`.
     */
    role: 'tool';
    /**
     * Tool call that this message is responding to.
     */
    tool_call_id: string;
}
export interface ChatCompletionUserMessageParam {
    /**
     * The contents of the user message.
     */
    content: string | Array<ChatCompletionContentPart>;
    /**
     * The role of the messages author, in this case `user`.
     */
    role: 'user';
    /**
     * An optional name for the participant. Provides the model information to
     * differentiate between participants of the same role.
     */
    name?: string;
}
/**
 * @deprecated ChatCompletionMessageParam should be used instead
 */
export type CreateChatCompletionRequestMessage = ChatCompletionMessageParam;
export type ChatCompletionCreateParams = ChatCompletionCreateParamsNonStreaming | ChatCompletionCreateParamsStreaming;
export interface ChatCompletionCreateParamsBase {
    /**
     * A list of messages comprising the conversation so far.
     * [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models).
     */
    messages: Array<ChatCompletionMessageParam>;
    /**
     * ID of the model to use. See the
     * [model endpoint compatibility](https://platform.openai.com/docs/models/model-endpoint-compatibility)
     * table for details on which models work with the Chat API.
     */
    model: (string & {}) | ChatAPI.ChatModel;
    /**
     * Number between -2.0 and 2.0. Positive values penalize new tokens based on their
     * existing frequency in the text so far, decreasing the model's likelihood to
     * repeat the same line verbatim.
     *
     * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation/parameter-details)
     */
    frequency_penalty?: number | null;
    /**
     * Deprecated in favor of `tool_choice`.
     *
     * Controls which (if any) function is called by the model. `none` means the model
     * will not call a function and instead generates a message. `auto` means the model
     * can pick between generating a message or calling a function. Specifying a
     * particular function via `{"name": "my_function"}` forces the model to call that
     * function.
     *
     * `none` is the default when no functions are present. `auto` is the default if
     * functions are present.
     */
    function_call?: 'none' | 'auto' | ChatCompletionFunctionCallOption;
    /**
     * Deprecated in favor of `tools`.
     *
     * A list of functions the model may generate JSON inputs for.
     */
    functions?: Array<ChatCompletionCreateParams.Function>;
    /**
     * Modify the likelihood of specified tokens appearing in the completion.
     *
     * Accepts a JSON object that maps tokens (specified by their token ID in the
     * tokenizer) to an associated bias value from -100 to 100. Mathematically, the
     * bias is added to the logits generated by the model prior to sampling. The exact
     * effect will vary per model, but values between -1 and 1 should decrease or
     * increase likelihood of selection; values like -100 or 100 should result in a ban
     * or exclusive selection of the relevant token.
     */
    logit_bias?: Record<string, number> | null;
    /**
     * Whether to return log probabilities of the output tokens or not. If true,
     * returns the log probabilities of each output token returned in the `content` of
     * `message`.
     */
    logprobs?: boolean | null;
    /**
     * The maximum number of [tokens](/tokenizer) that can be generated in the chat
     * completion.
     *
     * The total length of input tokens and generated tokens is limited by the model's
     * context length.
     * [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
     * for counting tokens.
     */
    max_tokens?: number | null;
    /**
     * How many chat completion choices to generate for each input message. Note that
     * you will be charged based on the number of generated tokens across all of the
     * choices. Keep `n` as `1` to minimize costs.
     */
    n?: number | null;
    /**
     * Number between -2.0 and 2.0. Positive values penalize new tokens based on
     * whether they appear in the text so far, increasing the model's likelihood to
     * talk about new topics.
     *
     * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/text-generation/parameter-details)
     */
    presence_penalty?: number | null;
    /**
     * An object specifying the format that the model must output. Compatible with
     * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
     * all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
     *
     * Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
     * message the model generates is valid JSON.
     *
     * **Important:** when using JSON mode, you **must** also instruct the model to
     * produce JSON yourself via a system or user message. Without this, the model may
     * generate an unending stream of whitespace until the generation reaches the token
     * limit, resulting in a long-running and seemingly "stuck" request. Also note that
     * the message content may be partially cut off if `finish_reason="length"`, which
     * indicates the generation exceeded `max_tokens` or the conversation exceeded the
     * max context length.
     */
    response_format?: ChatCompletionCreateParams.ResponseFormat;
    /**
     * This feature is in Beta. If specified, our system will make a best effort to
     * sample deterministically, such that repeated requests with the same `seed` and
     * parameters should return the same result. Determinism is not guaranteed, and you
     * should refer to the `system_fingerprint` response parameter to monitor changes
     * in the backend.
     */
    seed?: number | null;
    /**
     * Up to 4 sequences where the API will stop generating further tokens.
     */
    stop?: string | null | Array<string>;
    /**
     * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be
     * sent as data-only
     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
     * as they become available, with the stream terminated by a `data: [DONE]`
     * message.
     * [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
     */
    stream?: boolean | null;
    /**
     * Options for streaming response. Only set this when you set `stream: true`.
     */
    stream_options?: ChatCompletionStreamOptions | null;
    /**
     * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
     * make the output more random, while lower values like 0.2 will make it more
     * focused and deterministic.
     *
     * We generally recommend altering this or `top_p` but not both.
     */
    temperature?: number | null;
    /**
     * Controls which (if any) tool is called by the model. `none` means the model will
     * not call any tool and instead generates a message. `auto` means the model can
     * pick between generating a message or calling one or more tools. `required` means
     * the model must call one or more tools. Specifying a particular tool via
     * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
     * call that tool.
     *
     * `none` is the default when no tools are present. `auto` is the default if tools
     * are present.
     */
    tool_choice?: ChatCompletionToolChoiceOption;
    /**
     * A list of tools the model may call. Currently, only functions are supported as a
     * tool. Use this to provide a list of functions the model may generate JSON inputs
     * for. A max of 128 functions are supported.
     */
    tools?: Array<ChatCompletionTool>;
    /**
     * An integer between 0 and 20 specifying the number of most likely tokens to
     * return at each token position, each with an associated log probability.
     * `logprobs` must be set to `true` if this parameter is used.
     */
    top_logprobs?: number | null;
    /**
     * An alternative to sampling with temperature, called nucleus sampling, where the
     * model considers the results of the tokens with top_p probability mass. So 0.1
     * means only the tokens comprising the top 10% probability mass are considered.
     *
     * We generally recommend altering this or `temperature` but not both.
     */
    top_p?: number | null;
    /**
     * A unique identifier representing your end-user, which can help OpenAI to monitor
     * and detect abuse.
     * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
     */
    user?: string;
}
export declare namespace ChatCompletionCreateParams {
    /**
     * @deprecated
     */
    interface Function {
        /**
         * The name of the function to be called. Must be a-z, A-Z, 0-9, or contain
         * underscores and dashes, with a maximum length of 64.
         */
        name: string;
        /**
         * A description of what the function does, used by the model to choose when and
         * how to call the function.
         */
        description?: string;
        /**
         * The parameters the functions accepts, described as a JSON Schema object. See the
         * [guide](https://platform.openai.com/docs/guides/text-generation/function-calling)
         * for examples, and the
         * [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
         * documentation about the format.
         *
         * Omitting `parameters` defines a function with an empty parameter list.
         */
        parameters?: Shared.FunctionParameters;
    }
    /**
     * An object specifying the format that the model must output. Compatible with
     * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
     * all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
     *
     * Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
     * message the model generates is valid JSON.
     *
     * **Important:** when using JSON mode, you **must** also instruct the model to
     * produce JSON yourself via a system or user message. Without this, the model may
     * generate an unending stream of whitespace until the generation reaches the token
     * limit, resulting in a long-running and seemingly "stuck" request. Also note that
     * the message content may be partially cut off if `finish_reason="length"`, which
     * indicates the generation exceeded `max_tokens` or the conversation exceeded the
     * max context length.
     */
    interface ResponseFormat {
        /**
         * Must be one of `text` or `json_object`.
         */
        type?: 'text' | 'json_object';
    }
    type ChatCompletionCreateParamsNonStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsNonStreaming;
    type ChatCompletionCreateParamsStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsStreaming;
}
/**
 * @deprecated Use ChatCompletionCreateParams instead
 */
export type CompletionCreateParams = ChatCompletionCreateParams;
export interface ChatCompletionCreateParamsNonStreaming extends ChatCompletionCreateParamsBase {
    /**
     * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be
     * sent as data-only
     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
     * as they become available, with the stream terminated by a `data: [DONE]`
     * message.
     * [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
     */
    stream?: false | null;
}
/**
 * @deprecated Use ChatCompletionCreateParamsNonStreaming instead
 */
export type CompletionCreateParamsNonStreaming = ChatCompletionCreateParamsNonStreaming;
export interface ChatCompletionCreateParamsStreaming extends ChatCompletionCreateParamsBase {
    /**
     * If set, partial message deltas will be sent, like in ChatGPT. Tokens will be
     * sent as data-only
     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
     * as they become available, with the stream terminated by a `data: [DONE]`
     * message.
     * [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
     */
    stream: true;
}
/**
 * @deprecated Use ChatCompletionCreateParamsStreaming instead
 */
export type CompletionCreateParamsStreaming = ChatCompletionCreateParamsStreaming;
export declare namespace Completions {
    export import ChatCompletion = ChatCompletionsAPI.ChatCompletion;
    export import ChatCompletionAssistantMessageParam = ChatCompletionsAPI.ChatCompletionAssistantMessageParam;
    export import ChatCompletionChunk = ChatCompletionsAPI.ChatCompletionChunk;
    export import ChatCompletionContentPart = ChatCompletionsAPI.ChatCompletionContentPart;
    export import ChatCompletionContentPartImage = ChatCompletionsAPI.ChatCompletionContentPartImage;
    export import ChatCompletionContentPartText = ChatCompletionsAPI.ChatCompletionContentPartText;
    export import ChatCompletionFunctionCallOption = ChatCompletionsAPI.ChatCompletionFunctionCallOption;
    export import ChatCompletionFunctionMessageParam = ChatCompletionsAPI.ChatCompletionFunctionMessageParam;
    export import ChatCompletionMessage = ChatCompletionsAPI.ChatCompletionMessage;
    export import ChatCompletionMessageParam = ChatCompletionsAPI.ChatCompletionMessageParam;
    export import ChatCompletionMessageToolCall = ChatCompletionsAPI.ChatCompletionMessageToolCall;
    export import ChatCompletionNamedToolChoice = ChatCompletionsAPI.ChatCompletionNamedToolChoice;
    export import ChatCompletionRole = ChatCompletionsAPI.ChatCompletionRole;
    export import ChatCompletionStreamOptions = ChatCompletionsAPI.ChatCompletionStreamOptions;
    export import ChatCompletionSystemMessageParam = ChatCompletionsAPI.ChatCompletionSystemMessageParam;
    export import ChatCompletionTokenLogprob = ChatCompletionsAPI.ChatCompletionTokenLogprob;
    export import ChatCompletionTool = ChatCompletionsAPI.ChatCompletionTool;
    export import ChatCompletionToolChoiceOption = ChatCompletionsAPI.ChatCompletionToolChoiceOption;
    export import ChatCompletionToolMessageParam = ChatCompletionsAPI.ChatCompletionToolMessageParam;
    export import ChatCompletionUserMessageParam = ChatCompletionsAPI.ChatCompletionUserMessageParam;
    /**
     * @deprecated ChatCompletionMessageParam should be used instead
     */
    export import CreateChatCompletionRequestMessage = ChatCompletionsAPI.CreateChatCompletionRequestMessage;
    export import ChatCompletionCreateParams = ChatCompletionsAPI.ChatCompletionCreateParams;
    export import CompletionCreateParams = ChatCompletionsAPI.CompletionCreateParams;
    export import ChatCompletionCreateParamsNonStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsNonStreaming;
    export import CompletionCreateParamsNonStreaming = ChatCompletionsAPI.CompletionCreateParamsNonStreaming;
    export import ChatCompletionCreateParamsStreaming = ChatCompletionsAPI.ChatCompletionCreateParamsStreaming;
    export import CompletionCreateParamsStreaming = ChatCompletionsAPI.CompletionCreateParamsStreaming;
}
//# sourceMappingURL=completions.d.ts.map