import * as Core from "../../../../core.js";
import { APIPromise } from "../../../../core.js";
import { APIResource } from "../../../../resource.js";
import { AssistantStream, RunCreateParamsBaseStream } from "../../../../lib/AssistantStream.js";
import { RunSubmitToolOutputsParamsStream } from "../../../../lib/AssistantStream.js";
import * as RunsAPI from "./runs.js";
import * as AssistantsAPI from "../../assistants.js";
import * as MessagesAPI from "../messages.js";
import * as ThreadsAPI from "../threads.js";
import * as StepsAPI from "./steps.js";
import { CursorPage, type CursorPageParams } from "../../../../pagination.js";
import { Stream } from "../../../../streaming.js";
export declare class Runs extends APIResource {
    steps: StepsAPI.Steps;
    /**
     * Create a run.
     */
    create(threadId: string, body: RunCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise<Run>;
    create(threadId: string, body: RunCreateParamsStreaming, options?: Core.RequestOptions): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
    create(threadId: string, body: RunCreateParamsBase, options?: Core.RequestOptions): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent> | Run>;
    /**
     * Retrieves a run.
     */
    retrieve(threadId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise<Run>;
    /**
     * Modifies a run.
     */
    update(threadId: string, runId: string, body: RunUpdateParams, options?: Core.RequestOptions): Core.APIPromise<Run>;
    /**
     * Returns a list of runs belonging to a thread.
     */
    list(threadId: string, query?: RunListParams, options?: Core.RequestOptions): Core.PagePromise<RunsPage, Run>;
    list(threadId: string, options?: Core.RequestOptions): Core.PagePromise<RunsPage, Run>;
    /**
     * Cancels a run that is `in_progress`.
     */
    cancel(threadId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise<Run>;
    /**
     * A helper to create a run an poll for a terminal state. More information on Run
     * lifecycles can be found here:
     * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
     */
    createAndPoll(threadId: string, body: RunCreateParamsNonStreaming, options?: Core.RequestOptions & {
        pollIntervalMs?: number;
    }): Promise<Run>;
    /**
     * Create a Run stream
     *
     * @deprecated use `stream` instead
     */
    createAndStream(threadId: string, body: RunCreateParamsBaseStream, options?: Core.RequestOptions): AssistantStream;
    /**
     * A helper to poll a run status until it reaches a terminal state. More
     * information on Run lifecycles can be found here:
     * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
     */
    poll(threadId: string, runId: string, options?: Core.RequestOptions & {
        pollIntervalMs?: number;
    }): Promise<Run>;
    /**
     * Create a Run stream
     */
    stream(threadId: string, body: RunCreateParamsBaseStream, options?: Core.RequestOptions): AssistantStream;
    /**
     * When a run has the `status: "requires_action"` and `required_action.type` is
     * `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
     * tool calls once they're all completed. All outputs must be submitted in a single
     * request.
     */
    submitToolOutputs(threadId: string, runId: string, body: RunSubmitToolOutputsParamsNonStreaming, options?: Core.RequestOptions): APIPromise<Run>;
    submitToolOutputs(threadId: string, runId: string, body: RunSubmitToolOutputsParamsStreaming, options?: Core.RequestOptions): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
    submitToolOutputs(threadId: string, runId: string, body: RunSubmitToolOutputsParamsBase, options?: Core.RequestOptions): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent> | Run>;
    /**
     * A helper to submit a tool output to a run and poll for a terminal run state.
     * More information on Run lifecycles can be found here:
     * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
     */
    submitToolOutputsAndPoll(threadId: string, runId: string, body: RunSubmitToolOutputsParamsNonStreaming, options?: Core.RequestOptions & {
        pollIntervalMs?: number;
    }): Promise<Run>;
    /**
     * Submit the tool outputs from a previous run and stream the run to a terminal
     * state. More information on Run lifecycles can be found here:
     * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
     */
    submitToolOutputsStream(threadId: string, runId: string, body: RunSubmitToolOutputsParamsStream, options?: Core.RequestOptions): AssistantStream;
}
export declare class RunsPage extends CursorPage<Run> {
}
/**
 * Tool call objects
 */
export interface RequiredActionFunctionToolCall {
    /**
     * The ID of the tool call. This ID must be referenced when you submit the tool
     * outputs in using the
     * [Submit tool outputs to run](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
     * endpoint.
     */
    id: string;
    /**
     * The function definition.
     */
    function: RequiredActionFunctionToolCall.Function;
    /**
     * The type of tool call the output is required for. For now, this is always
     * `function`.
     */
    type: 'function';
}
export declare namespace RequiredActionFunctionToolCall {
    /**
     * The function definition.
     */
    interface Function {
        /**
         * The arguments that the model expects you to pass to the function.
         */
        arguments: string;
        /**
         * The name of the function.
         */
        name: string;
    }
}
/**
 * Represents an execution run on a
 * [thread](https://platform.openai.com/docs/api-reference/threads).
 */
export interface Run {
    /**
     * The identifier, which can be referenced in API endpoints.
     */
    id: string;
    /**
     * The ID of the
     * [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
     * execution of this run.
     */
    assistant_id: string;
    /**
     * The Unix timestamp (in seconds) for when the run was cancelled.
     */
    cancelled_at: number | null;
    /**
     * The Unix timestamp (in seconds) for when the run was completed.
     */
    completed_at: number | null;
    /**
     * The Unix timestamp (in seconds) for when the run was created.
     */
    created_at: number;
    /**
     * The Unix timestamp (in seconds) for when the run will expire.
     */
    expires_at: number | null;
    /**
     * The Unix timestamp (in seconds) for when the run failed.
     */
    failed_at: number | null;
    /**
     * Details on why the run is incomplete. Will be `null` if the run is not
     * incomplete.
     */
    incomplete_details: Run.IncompleteDetails | null;
    /**
     * The instructions that the
     * [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
     * this run.
     */
    instructions: string;
    /**
     * The last error associated with this run. Will be `null` if there are no errors.
     */
    last_error: Run.LastError | null;
    /**
     * The maximum number of completion tokens specified to have been used over the
     * course of the run.
     */
    max_completion_tokens: number | null;
    /**
     * The maximum number of prompt tokens specified to have been used over the course
     * of the run.
     */
    max_prompt_tokens: number | null;
    /**
     * Set of 16 key-value pairs that can be attached to an object. This can be useful
     * for storing additional information about the object in a structured format. Keys
     * can be a maximum of 64 characters long and values can be a maxium of 512
     * characters long.
     */
    metadata: unknown | null;
    /**
     * The model that the
     * [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
     * this run.
     */
    model: string;
    /**
     * The object type, which is always `thread.run`.
     */
    object: 'thread.run';
    /**
     * Details on the action required to continue the run. Will be `null` if no action
     * is required.
     */
    required_action: Run.RequiredAction | null;
    /**
     * Specifies the format that the model must output. Compatible with
     * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o),
     * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4),
     * and all GPT-3.5 Turbo models since `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: ThreadsAPI.AssistantResponseFormatOption | null;
    /**
     * The Unix timestamp (in seconds) for when the run was started.
     */
    started_at: number | null;
    /**
     * The status of the run, which can be either `queued`, `in_progress`,
     * `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
     * `incomplete`, or `expired`.
     */
    status: RunStatus;
    /**
     * The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
     * that was executed on as a part of this run.
     */
    thread_id: string;
    /**
     * Controls which (if any) tool is called by the model. `none` means the model will
     * not call any tools and instead generates a message. `auto` is the default value
     * and 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 before responding
     * to the user. Specifying a particular tool like `{"type": "file_search"}` or
     * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
     * call that tool.
     */
    tool_choice: ThreadsAPI.AssistantToolChoiceOption | null;
    /**
     * The list of tools that the
     * [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
     * this run.
     */
    tools: Array<AssistantsAPI.AssistantTool>;
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    truncation_strategy: Run.TruncationStrategy | null;
    /**
     * Usage statistics related to the run. This value will be `null` if the run is not
     * in a terminal state (i.e. `in_progress`, `queued`, etc.).
     */
    usage: Run.Usage | null;
    /**
     * The sampling temperature used for this run. If not set, defaults to 1.
     */
    temperature?: number | null;
    /**
     * The nucleus sampling value used for this run. If not set, defaults to 1.
     */
    top_p?: number | null;
}
export declare namespace Run {
    /**
     * Details on why the run is incomplete. Will be `null` if the run is not
     * incomplete.
     */
    interface IncompleteDetails {
        /**
         * The reason why the run is incomplete. This will point to which specific token
         * limit was reached over the course of the run.
         */
        reason?: 'max_completion_tokens' | 'max_prompt_tokens';
    }
    /**
     * The last error associated with this run. Will be `null` if there are no errors.
     */
    interface LastError {
        /**
         * One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
         */
        code: 'server_error' | 'rate_limit_exceeded' | 'invalid_prompt';
        /**
         * A human-readable description of the error.
         */
        message: string;
    }
    /**
     * Details on the action required to continue the run. Will be `null` if no action
     * is required.
     */
    interface RequiredAction {
        /**
         * Details on the tool outputs needed for this run to continue.
         */
        submit_tool_outputs: RequiredAction.SubmitToolOutputs;
        /**
         * For now, this is always `submit_tool_outputs`.
         */
        type: 'submit_tool_outputs';
    }
    namespace RequiredAction {
        /**
         * Details on the tool outputs needed for this run to continue.
         */
        interface SubmitToolOutputs {
            /**
             * A list of the relevant tool calls.
             */
            tool_calls: Array<RunsAPI.RequiredActionFunctionToolCall>;
        }
    }
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    interface TruncationStrategy {
        /**
         * The truncation strategy to use for the thread. The default is `auto`. If set to
         * `last_messages`, the thread will be truncated to the n most recent messages in
         * the thread. When set to `auto`, messages in the middle of the thread will be
         * dropped to fit the context length of the model, `max_prompt_tokens`.
         */
        type: 'auto' | 'last_messages';
        /**
         * The number of most recent messages from the thread when constructing the context
         * for the run.
         */
        last_messages?: number | null;
    }
    /**
     * Usage statistics related to the run. This value will be `null` if the run is not
     * in a terminal state (i.e. `in_progress`, `queued`, etc.).
     */
    interface Usage {
        /**
         * Number of completion tokens used over the course of the run.
         */
        completion_tokens: number;
        /**
         * Number of prompt tokens used over the course of the run.
         */
        prompt_tokens: number;
        /**
         * Total number of tokens used (prompt + completion).
         */
        total_tokens: number;
    }
}
/**
 * The status of the run, which can be either `queued`, `in_progress`,
 * `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
 * `incomplete`, or `expired`.
 */
export type RunStatus = 'queued' | 'in_progress' | 'requires_action' | 'cancelling' | 'cancelled' | 'failed' | 'completed' | 'incomplete' | 'expired';
export type RunCreateParams = RunCreateParamsNonStreaming | RunCreateParamsStreaming;
export interface RunCreateParamsBase {
    /**
     * The ID of the
     * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
     * execute this run.
     */
    assistant_id: string;
    /**
     * Appends additional instructions at the end of the instructions for the run. This
     * is useful for modifying the behavior on a per-run basis without overriding other
     * instructions.
     */
    additional_instructions?: string | null;
    /**
     * Adds additional messages to the thread before creating the run.
     */
    additional_messages?: Array<RunCreateParams.AdditionalMessage> | null;
    /**
     * Overrides the
     * [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
     * of the assistant. This is useful for modifying the behavior on a per-run basis.
     */
    instructions?: string | null;
    /**
     * The maximum number of completion tokens that may be used over the course of the
     * run. The run will make a best effort to use only the number of completion tokens
     * specified, across multiple turns of the run. If the run exceeds the number of
     * completion tokens specified, the run will end with status `incomplete`. See
     * `incomplete_details` for more info.
     */
    max_completion_tokens?: number | null;
    /**
     * The maximum number of prompt tokens that may be used over the course of the run.
     * The run will make a best effort to use only the number of prompt tokens
     * specified, across multiple turns of the run. If the run exceeds the number of
     * prompt tokens specified, the run will end with status `incomplete`. See
     * `incomplete_details` for more info.
     */
    max_prompt_tokens?: number | null;
    /**
     * Set of 16 key-value pairs that can be attached to an object. This can be useful
     * for storing additional information about the object in a structured format. Keys
     * can be a maximum of 64 characters long and values can be a maxium of 512
     * characters long.
     */
    metadata?: unknown | null;
    /**
     * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
     * be used to execute this run. If a value is provided here, it will override the
     * model associated with the assistant. If not, the model associated with the
     * assistant will be used.
     */
    model?: (string & {}) | 'gpt-4o' | 'gpt-4o-2024-05-13' | 'gpt-4-turbo' | 'gpt-4-turbo-2024-04-09' | 'gpt-4-0125-preview' | 'gpt-4-turbo-preview' | 'gpt-4-1106-preview' | 'gpt-4-vision-preview' | 'gpt-4' | 'gpt-4-0314' | 'gpt-4-0613' | 'gpt-4-32k' | 'gpt-4-32k-0314' | 'gpt-4-32k-0613' | 'gpt-3.5-turbo' | 'gpt-3.5-turbo-16k' | 'gpt-3.5-turbo-0613' | 'gpt-3.5-turbo-1106' | 'gpt-3.5-turbo-0125' | 'gpt-3.5-turbo-16k-0613' | null;
    /**
     * Specifies the format that the model must output. Compatible with
     * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o),
     * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4),
     * and all GPT-3.5 Turbo models since `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?: ThreadsAPI.AssistantResponseFormatOption | null;
    /**
     * If `true`, returns a stream of events that happen during the Run as server-sent
     * events, terminating when the Run enters a terminal state with a `data: [DONE]`
     * message.
     */
    stream?: boolean | 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.
     */
    temperature?: number | null;
    /**
     * Controls which (if any) tool is called by the model. `none` means the model will
     * not call any tools and instead generates a message. `auto` is the default value
     * and 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 before responding
     * to the user. Specifying a particular tool like `{"type": "file_search"}` or
     * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
     * call that tool.
     */
    tool_choice?: ThreadsAPI.AssistantToolChoiceOption | null;
    /**
     * Override the tools the assistant can use for this run. This is useful for
     * modifying the behavior on a per-run basis.
     */
    tools?: Array<AssistantsAPI.AssistantTool> | 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;
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    truncation_strategy?: RunCreateParams.TruncationStrategy | null;
}
export declare namespace RunCreateParams {
    interface AdditionalMessage {
        /**
         * The text contents of the message.
         */
        content: string | Array<MessagesAPI.MessageContentPartParam>;
        /**
         * The role of the entity that is creating the message. Allowed values include:
         *
         * - `user`: Indicates the message is sent by an actual user and should be used in
         *   most cases to represent user-generated messages.
         * - `assistant`: Indicates the message is generated by the assistant. Use this
         *   value to insert messages from the assistant into the conversation.
         */
        role: 'user' | 'assistant';
        /**
         * A list of files attached to the message, and the tools they should be added to.
         */
        attachments?: Array<AdditionalMessage.Attachment> | null;
        /**
         * Set of 16 key-value pairs that can be attached to an object. This can be useful
         * for storing additional information about the object in a structured format. Keys
         * can be a maximum of 64 characters long and values can be a maxium of 512
         * characters long.
         */
        metadata?: unknown | null;
    }
    namespace AdditionalMessage {
        interface Attachment {
            /**
             * The ID of the file to attach to the message.
             */
            file_id?: string;
            /**
             * The tools to add this file to.
             */
            tools?: Array<AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool>;
        }
    }
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    interface TruncationStrategy {
        /**
         * The truncation strategy to use for the thread. The default is `auto`. If set to
         * `last_messages`, the thread will be truncated to the n most recent messages in
         * the thread. When set to `auto`, messages in the middle of the thread will be
         * dropped to fit the context length of the model, `max_prompt_tokens`.
         */
        type: 'auto' | 'last_messages';
        /**
         * The number of most recent messages from the thread when constructing the context
         * for the run.
         */
        last_messages?: number | null;
    }
    type RunCreateParamsNonStreaming = RunsAPI.RunCreateParamsNonStreaming;
    type RunCreateParamsStreaming = RunsAPI.RunCreateParamsStreaming;
}
export interface RunCreateParamsNonStreaming extends RunCreateParamsBase {
    /**
     * If `true`, returns a stream of events that happen during the Run as server-sent
     * events, terminating when the Run enters a terminal state with a `data: [DONE]`
     * message.
     */
    stream?: false | null;
}
export interface RunCreateParamsStreaming extends RunCreateParamsBase {
    /**
     * If `true`, returns a stream of events that happen during the Run as server-sent
     * events, terminating when the Run enters a terminal state with a `data: [DONE]`
     * message.
     */
    stream: true;
}
export interface RunUpdateParams {
    /**
     * Set of 16 key-value pairs that can be attached to an object. This can be useful
     * for storing additional information about the object in a structured format. Keys
     * can be a maximum of 64 characters long and values can be a maxium of 512
     * characters long.
     */
    metadata?: unknown | null;
}
export interface RunListParams extends CursorPageParams {
    /**
     * A cursor for use in pagination. `before` is an object ID that defines your place
     * in the list. For instance, if you make a list request and receive 100 objects,
     * ending with obj_foo, your subsequent call can include before=obj_foo in order to
     * fetch the previous page of the list.
     */
    before?: string;
    /**
     * Sort order by the `created_at` timestamp of the objects. `asc` for ascending
     * order and `desc` for descending order.
     */
    order?: 'asc' | 'desc';
}
export interface RunCreateAndPollParams {
    /**
     * The ID of the
     * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
     * execute this run.
     */
    assistant_id: string;
    /**
     * Appends additional instructions at the end of the instructions for the run. This
     * is useful for modifying the behavior on a per-run basis without overriding other
     * instructions.
     */
    additional_instructions?: string | null;
    /**
     * Adds additional messages to the thread before creating the run.
     */
    additional_messages?: Array<RunCreateAndPollParams.AdditionalMessage> | null;
    /**
     * Overrides the
     * [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
     * of the assistant. This is useful for modifying the behavior on a per-run basis.
     */
    instructions?: string | null;
    /**
     * The maximum number of completion tokens that may be used over the course of the
     * run. The run will make a best effort to use only the number of completion tokens
     * specified, across multiple turns of the run. If the run exceeds the number of
     * completion tokens specified, the run will end with status `incomplete`. See
     * `incomplete_details` for more info.
     */
    max_completion_tokens?: number | null;
    /**
     * The maximum number of prompt tokens that may be used over the course of the run.
     * The run will make a best effort to use only the number of prompt tokens
     * specified, across multiple turns of the run. If the run exceeds the number of
     * prompt tokens specified, the run will end with status `incomplete`. See
     * `incomplete_details` for more info.
     */
    max_prompt_tokens?: number | null;
    /**
     * Set of 16 key-value pairs that can be attached to an object. This can be useful
     * for storing additional information about the object in a structured format. Keys
     * can be a maximum of 64 characters long and values can be a maxium of 512
     * characters long.
     */
    metadata?: unknown | null;
    /**
     * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
     * be used to execute this run. If a value is provided here, it will override the
     * model associated with the assistant. If not, the model associated with the
     * assistant will be used.
     */
    model?: (string & {}) | 'gpt-4o' | 'gpt-4o-2024-05-13' | 'gpt-4-turbo' | 'gpt-4-turbo-2024-04-09' | 'gpt-4-0125-preview' | 'gpt-4-turbo-preview' | 'gpt-4-1106-preview' | 'gpt-4-vision-preview' | 'gpt-4' | 'gpt-4-0314' | 'gpt-4-0613' | 'gpt-4-32k' | 'gpt-4-32k-0314' | 'gpt-4-32k-0613' | 'gpt-3.5-turbo' | 'gpt-3.5-turbo-16k' | 'gpt-3.5-turbo-0613' | 'gpt-3.5-turbo-1106' | 'gpt-3.5-turbo-0125' | 'gpt-3.5-turbo-16k-0613' | null;
    /**
     * Specifies the format that the model must output. Compatible with
     * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o),
     * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4),
     * and all GPT-3.5 Turbo models since `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?: ThreadsAPI.AssistantResponseFormatOption | 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.
     */
    temperature?: number | null;
    /**
     * Controls which (if any) tool is called by the model. `none` means the model will
     * not call any tools and instead generates a message. `auto` is the default value
     * and 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 before responding
     * to the user. Specifying a particular tool like `{"type": "file_search"}` or
     * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
     * call that tool.
     */
    tool_choice?: ThreadsAPI.AssistantToolChoiceOption | null;
    /**
     * Override the tools the assistant can use for this run. This is useful for
     * modifying the behavior on a per-run basis.
     */
    tools?: Array<AssistantsAPI.AssistantTool> | 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;
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    truncation_strategy?: RunCreateAndPollParams.TruncationStrategy | null;
}
export declare namespace RunCreateAndPollParams {
    interface AdditionalMessage {
        /**
         * The text contents of the message.
         */
        content: string | Array<MessagesAPI.MessageContentPartParam>;
        /**
         * The role of the entity that is creating the message. Allowed values include:
         *
         * - `user`: Indicates the message is sent by an actual user and should be used in
         *   most cases to represent user-generated messages.
         * - `assistant`: Indicates the message is generated by the assistant. Use this
         *   value to insert messages from the assistant into the conversation.
         */
        role: 'user' | 'assistant';
        /**
         * A list of files attached to the message, and the tools they should be added to.
         */
        attachments?: Array<AdditionalMessage.Attachment> | null;
        /**
         * Set of 16 key-value pairs that can be attached to an object. This can be useful
         * for storing additional information about the object in a structured format. Keys
         * can be a maximum of 64 characters long and values can be a maxium of 512
         * characters long.
         */
        metadata?: unknown | null;
    }
    namespace AdditionalMessage {
        interface Attachment {
            /**
             * The ID of the file to attach to the message.
             */
            file_id?: string;
            /**
             * The tools to add this file to.
             */
            tools?: Array<AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool>;
        }
    }
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    interface TruncationStrategy {
        /**
         * The truncation strategy to use for the thread. The default is `auto`. If set to
         * `last_messages`, the thread will be truncated to the n most recent messages in
         * the thread. When set to `auto`, messages in the middle of the thread will be
         * dropped to fit the context length of the model, `max_prompt_tokens`.
         */
        type: 'auto' | 'last_messages';
        /**
         * The number of most recent messages from the thread when constructing the context
         * for the run.
         */
        last_messages?: number | null;
    }
}
export interface RunCreateAndStreamParams {
    /**
     * The ID of the
     * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
     * execute this run.
     */
    assistant_id: string;
    /**
     * Appends additional instructions at the end of the instructions for the run. This
     * is useful for modifying the behavior on a per-run basis without overriding other
     * instructions.
     */
    additional_instructions?: string | null;
    /**
     * Adds additional messages to the thread before creating the run.
     */
    additional_messages?: Array<RunCreateAndStreamParams.AdditionalMessage> | null;
    /**
     * Overrides the
     * [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
     * of the assistant. This is useful for modifying the behavior on a per-run basis.
     */
    instructions?: string | null;
    /**
     * The maximum number of completion tokens that may be used over the course of the
     * run. The run will make a best effort to use only the number of completion tokens
     * specified, across multiple turns of the run. If the run exceeds the number of
     * completion tokens specified, the run will end with status `incomplete`. See
     * `incomplete_details` for more info.
     */
    max_completion_tokens?: number | null;
    /**
     * The maximum number of prompt tokens that may be used over the course of the run.
     * The run will make a best effort to use only the number of prompt tokens
     * specified, across multiple turns of the run. If the run exceeds the number of
     * prompt tokens specified, the run will end with status `incomplete`. See
     * `incomplete_details` for more info.
     */
    max_prompt_tokens?: number | null;
    /**
     * Set of 16 key-value pairs that can be attached to an object. This can be useful
     * for storing additional information about the object in a structured format. Keys
     * can be a maximum of 64 characters long and values can be a maxium of 512
     * characters long.
     */
    metadata?: unknown | null;
    /**
     * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
     * be used to execute this run. If a value is provided here, it will override the
     * model associated with the assistant. If not, the model associated with the
     * assistant will be used.
     */
    model?: (string & {}) | 'gpt-4o' | 'gpt-4o-2024-05-13' | 'gpt-4-turbo' | 'gpt-4-turbo-2024-04-09' | 'gpt-4-0125-preview' | 'gpt-4-turbo-preview' | 'gpt-4-1106-preview' | 'gpt-4-vision-preview' | 'gpt-4' | 'gpt-4-0314' | 'gpt-4-0613' | 'gpt-4-32k' | 'gpt-4-32k-0314' | 'gpt-4-32k-0613' | 'gpt-3.5-turbo' | 'gpt-3.5-turbo-16k' | 'gpt-3.5-turbo-0613' | 'gpt-3.5-turbo-1106' | 'gpt-3.5-turbo-0125' | 'gpt-3.5-turbo-16k-0613' | null;
    /**
     * Specifies the format that the model must output. Compatible with
     * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o),
     * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4),
     * and all GPT-3.5 Turbo models since `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?: ThreadsAPI.AssistantResponseFormatOption | 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.
     */
    temperature?: number | null;
    /**
     * Controls which (if any) tool is called by the model. `none` means the model will
     * not call any tools and instead generates a message. `auto` is the default value
     * and 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 before responding
     * to the user. Specifying a particular tool like `{"type": "file_search"}` or
     * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
     * call that tool.
     */
    tool_choice?: ThreadsAPI.AssistantToolChoiceOption | null;
    /**
     * Override the tools the assistant can use for this run. This is useful for
     * modifying the behavior on a per-run basis.
     */
    tools?: Array<AssistantsAPI.AssistantTool> | 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;
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    truncation_strategy?: RunCreateAndStreamParams.TruncationStrategy | null;
}
export declare namespace RunCreateAndStreamParams {
    interface AdditionalMessage {
        /**
         * The text contents of the message.
         */
        content: string | Array<MessagesAPI.MessageContentPartParam>;
        /**
         * The role of the entity that is creating the message. Allowed values include:
         *
         * - `user`: Indicates the message is sent by an actual user and should be used in
         *   most cases to represent user-generated messages.
         * - `assistant`: Indicates the message is generated by the assistant. Use this
         *   value to insert messages from the assistant into the conversation.
         */
        role: 'user' | 'assistant';
        /**
         * A list of files attached to the message, and the tools they should be added to.
         */
        attachments?: Array<AdditionalMessage.Attachment> | null;
        /**
         * Set of 16 key-value pairs that can be attached to an object. This can be useful
         * for storing additional information about the object in a structured format. Keys
         * can be a maximum of 64 characters long and values can be a maxium of 512
         * characters long.
         */
        metadata?: unknown | null;
    }
    namespace AdditionalMessage {
        interface Attachment {
            /**
             * The ID of the file to attach to the message.
             */
            file_id?: string;
            /**
             * The tools to add this file to.
             */
            tools?: Array<AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool>;
        }
    }
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    interface TruncationStrategy {
        /**
         * The truncation strategy to use for the thread. The default is `auto`. If set to
         * `last_messages`, the thread will be truncated to the n most recent messages in
         * the thread. When set to `auto`, messages in the middle of the thread will be
         * dropped to fit the context length of the model, `max_prompt_tokens`.
         */
        type: 'auto' | 'last_messages';
        /**
         * The number of most recent messages from the thread when constructing the context
         * for the run.
         */
        last_messages?: number | null;
    }
}
export interface RunStreamParams {
    /**
     * The ID of the
     * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
     * execute this run.
     */
    assistant_id: string;
    /**
     * Appends additional instructions at the end of the instructions for the run. This
     * is useful for modifying the behavior on a per-run basis without overriding other
     * instructions.
     */
    additional_instructions?: string | null;
    /**
     * Adds additional messages to the thread before creating the run.
     */
    additional_messages?: Array<RunStreamParams.AdditionalMessage> | null;
    /**
     * Overrides the
     * [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
     * of the assistant. This is useful for modifying the behavior on a per-run basis.
     */
    instructions?: string | null;
    /**
     * The maximum number of completion tokens that may be used over the course of the
     * run. The run will make a best effort to use only the number of completion tokens
     * specified, across multiple turns of the run. If the run exceeds the number of
     * completion tokens specified, the run will end with status `incomplete`. See
     * `incomplete_details` for more info.
     */
    max_completion_tokens?: number | null;
    /**
     * The maximum number of prompt tokens that may be used over the course of the run.
     * The run will make a best effort to use only the number of prompt tokens
     * specified, across multiple turns of the run. If the run exceeds the number of
     * prompt tokens specified, the run will end with status `incomplete`. See
     * `incomplete_details` for more info.
     */
    max_prompt_tokens?: number | null;
    /**
     * Set of 16 key-value pairs that can be attached to an object. This can be useful
     * for storing additional information about the object in a structured format. Keys
     * can be a maximum of 64 characters long and values can be a maxium of 512
     * characters long.
     */
    metadata?: unknown | null;
    /**
     * The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
     * be used to execute this run. If a value is provided here, it will override the
     * model associated with the assistant. If not, the model associated with the
     * assistant will be used.
     */
    model?: (string & {}) | 'gpt-4o' | 'gpt-4o-2024-05-13' | 'gpt-4-turbo' | 'gpt-4-turbo-2024-04-09' | 'gpt-4-0125-preview' | 'gpt-4-turbo-preview' | 'gpt-4-1106-preview' | 'gpt-4-vision-preview' | 'gpt-4' | 'gpt-4-0314' | 'gpt-4-0613' | 'gpt-4-32k' | 'gpt-4-32k-0314' | 'gpt-4-32k-0613' | 'gpt-3.5-turbo' | 'gpt-3.5-turbo-16k' | 'gpt-3.5-turbo-0613' | 'gpt-3.5-turbo-1106' | 'gpt-3.5-turbo-0125' | 'gpt-3.5-turbo-16k-0613' | null;
    /**
     * Specifies the format that the model must output. Compatible with
     * [GPT-4o](https://platform.openai.com/docs/models/gpt-4o),
     * [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4),
     * and all GPT-3.5 Turbo models since `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?: ThreadsAPI.AssistantResponseFormatOption | 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.
     */
    temperature?: number | null;
    /**
     * Controls which (if any) tool is called by the model. `none` means the model will
     * not call any tools and instead generates a message. `auto` is the default value
     * and 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 before responding
     * to the user. Specifying a particular tool like `{"type": "file_search"}` or
     * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
     * call that tool.
     */
    tool_choice?: ThreadsAPI.AssistantToolChoiceOption | null;
    /**
     * Override the tools the assistant can use for this run. This is useful for
     * modifying the behavior on a per-run basis.
     */
    tools?: Array<AssistantsAPI.AssistantTool> | 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;
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    truncation_strategy?: RunStreamParams.TruncationStrategy | null;
}
export declare namespace RunStreamParams {
    interface AdditionalMessage {
        /**
         * The text contents of the message.
         */
        content: string | Array<MessagesAPI.MessageContentPartParam>;
        /**
         * The role of the entity that is creating the message. Allowed values include:
         *
         * - `user`: Indicates the message is sent by an actual user and should be used in
         *   most cases to represent user-generated messages.
         * - `assistant`: Indicates the message is generated by the assistant. Use this
         *   value to insert messages from the assistant into the conversation.
         */
        role: 'user' | 'assistant';
        /**
         * A list of files attached to the message, and the tools they should be added to.
         */
        attachments?: Array<AdditionalMessage.Attachment> | null;
        /**
         * Set of 16 key-value pairs that can be attached to an object. This can be useful
         * for storing additional information about the object in a structured format. Keys
         * can be a maximum of 64 characters long and values can be a maxium of 512
         * characters long.
         */
        metadata?: unknown | null;
    }
    namespace AdditionalMessage {
        interface Attachment {
            /**
             * The ID of the file to attach to the message.
             */
            file_id?: string;
            /**
             * The tools to add this file to.
             */
            tools?: Array<AssistantsAPI.CodeInterpreterTool | AssistantsAPI.FileSearchTool>;
        }
    }
    /**
     * Controls for how a thread will be truncated prior to the run. Use this to
     * control the intial context window of the run.
     */
    interface TruncationStrategy {
        /**
         * The truncation strategy to use for the thread. The default is `auto`. If set to
         * `last_messages`, the thread will be truncated to the n most recent messages in
         * the thread. When set to `auto`, messages in the middle of the thread will be
         * dropped to fit the context length of the model, `max_prompt_tokens`.
         */
        type: 'auto' | 'last_messages';
        /**
         * The number of most recent messages from the thread when constructing the context
         * for the run.
         */
        last_messages?: number | null;
    }
}
export type RunSubmitToolOutputsParams = RunSubmitToolOutputsParamsNonStreaming | RunSubmitToolOutputsParamsStreaming;
export interface RunSubmitToolOutputsParamsBase {
    /**
     * A list of tools for which the outputs are being submitted.
     */
    tool_outputs: Array<RunSubmitToolOutputsParams.ToolOutput>;
    /**
     * If `true`, returns a stream of events that happen during the Run as server-sent
     * events, terminating when the Run enters a terminal state with a `data: [DONE]`
     * message.
     */
    stream?: boolean | null;
}
export declare namespace RunSubmitToolOutputsParams {
    interface ToolOutput {
        /**
         * The output of the tool call to be submitted to continue the run.
         */
        output?: string;
        /**
         * The ID of the tool call in the `required_action` object within the run object
         * the output is being submitted for.
         */
        tool_call_id?: string;
    }
    type RunSubmitToolOutputsParamsNonStreaming = RunsAPI.RunSubmitToolOutputsParamsNonStreaming;
    type RunSubmitToolOutputsParamsStreaming = RunsAPI.RunSubmitToolOutputsParamsStreaming;
}
export interface RunSubmitToolOutputsParamsNonStreaming extends RunSubmitToolOutputsParamsBase {
    /**
     * If `true`, returns a stream of events that happen during the Run as server-sent
     * events, terminating when the Run enters a terminal state with a `data: [DONE]`
     * message.
     */
    stream?: false | null;
}
export interface RunSubmitToolOutputsParamsStreaming extends RunSubmitToolOutputsParamsBase {
    /**
     * If `true`, returns a stream of events that happen during the Run as server-sent
     * events, terminating when the Run enters a terminal state with a `data: [DONE]`
     * message.
     */
    stream: true;
}
export interface RunSubmitToolOutputsAndPollParams {
    /**
     * A list of tools for which the outputs are being submitted.
     */
    tool_outputs: Array<RunSubmitToolOutputsAndPollParams.ToolOutput>;
}
export declare namespace RunSubmitToolOutputsAndPollParams {
    interface ToolOutput {
        /**
         * The output of the tool call to be submitted to continue the run.
         */
        output?: string;
        /**
         * The ID of the tool call in the `required_action` object within the run object
         * the output is being submitted for.
         */
        tool_call_id?: string;
    }
}
export interface RunSubmitToolOutputsStreamParams {
    /**
     * A list of tools for which the outputs are being submitted.
     */
    tool_outputs: Array<RunSubmitToolOutputsStreamParams.ToolOutput>;
}
export declare namespace RunSubmitToolOutputsStreamParams {
    interface ToolOutput {
        /**
         * The output of the tool call to be submitted to continue the run.
         */
        output?: string;
        /**
         * The ID of the tool call in the `required_action` object within the run object
         * the output is being submitted for.
         */
        tool_call_id?: string;
    }
}
export declare namespace Runs {
    export import RequiredActionFunctionToolCall = RunsAPI.RequiredActionFunctionToolCall;
    export import Run = RunsAPI.Run;
    export import RunStatus = RunsAPI.RunStatus;
    export import RunsPage = RunsAPI.RunsPage;
    export import RunCreateParams = RunsAPI.RunCreateParams;
    export import RunCreateParamsNonStreaming = RunsAPI.RunCreateParamsNonStreaming;
    export import RunCreateParamsStreaming = RunsAPI.RunCreateParamsStreaming;
    export import RunUpdateParams = RunsAPI.RunUpdateParams;
    export import RunListParams = RunsAPI.RunListParams;
    export import RunCreateAndPollParams = RunsAPI.RunCreateAndPollParams;
    export import RunCreateAndStreamParams = RunsAPI.RunCreateAndStreamParams;
    export import RunStreamParams = RunsAPI.RunStreamParams;
    export import RunSubmitToolOutputsParams = RunsAPI.RunSubmitToolOutputsParams;
    export import RunSubmitToolOutputsParamsNonStreaming = RunsAPI.RunSubmitToolOutputsParamsNonStreaming;
    export import RunSubmitToolOutputsParamsStreaming = RunsAPI.RunSubmitToolOutputsParamsStreaming;
    export import RunSubmitToolOutputsAndPollParams = RunsAPI.RunSubmitToolOutputsAndPollParams;
    export import RunSubmitToolOutputsStreamParams = RunsAPI.RunSubmitToolOutputsStreamParams;
    export import Steps = StepsAPI.Steps;
    export import CodeInterpreterLogs = StepsAPI.CodeInterpreterLogs;
    export import CodeInterpreterOutputImage = StepsAPI.CodeInterpreterOutputImage;
    export import CodeInterpreterToolCall = StepsAPI.CodeInterpreterToolCall;
    export import CodeInterpreterToolCallDelta = StepsAPI.CodeInterpreterToolCallDelta;
    export import FileSearchToolCall = StepsAPI.FileSearchToolCall;
    export import FileSearchToolCallDelta = StepsAPI.FileSearchToolCallDelta;
    export import FunctionToolCall = StepsAPI.FunctionToolCall;
    export import FunctionToolCallDelta = StepsAPI.FunctionToolCallDelta;
    export import MessageCreationStepDetails = StepsAPI.MessageCreationStepDetails;
    export import RunStep = StepsAPI.RunStep;
    export import RunStepDelta = StepsAPI.RunStepDelta;
    export import RunStepDeltaEvent = StepsAPI.RunStepDeltaEvent;
    export import RunStepDeltaMessageDelta = StepsAPI.RunStepDeltaMessageDelta;
    export import ToolCall = StepsAPI.ToolCall;
    export import ToolCallDelta = StepsAPI.ToolCallDelta;
    export import ToolCallDeltaObject = StepsAPI.ToolCallDeltaObject;
    export import ToolCallsStepDetails = StepsAPI.ToolCallsStepDetails;
    export import RunStepsPage = StepsAPI.RunStepsPage;
    export import StepListParams = StepsAPI.StepListParams;
}
//# sourceMappingURL=runs.d.ts.map