1194 lines
53 KiB
TypeScript
1194 lines
53 KiB
TypeScript
import * as Core from "../../../../core.js";
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import { APIPromise } from "../../../../core.js";
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import { APIResource } from "../../../../resource.js";
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import { AssistantStream, RunCreateParamsBaseStream } from "../../../../lib/AssistantStream.js";
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import { RunSubmitToolOutputsParamsStream } from "../../../../lib/AssistantStream.js";
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import * as RunsAPI from "./runs.js";
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import * as AssistantsAPI from "../../assistants.js";
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import * as MessagesAPI from "../messages.js";
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import * as ThreadsAPI from "../threads.js";
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import * as StepsAPI from "./steps.js";
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import { CursorPage, type CursorPageParams } from "../../../../pagination.js";
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import { Stream } from "../../../../streaming.js";
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export declare class Runs extends APIResource {
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steps: StepsAPI.Steps;
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/**
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* Create a run.
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*/
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create(threadId: string, body: RunCreateParamsNonStreaming, options?: Core.RequestOptions): APIPromise<Run>;
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create(threadId: string, body: RunCreateParamsStreaming, options?: Core.RequestOptions): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
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create(threadId: string, body: RunCreateParamsBase, options?: Core.RequestOptions): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent> | Run>;
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/**
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* Retrieves a run.
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*/
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retrieve(threadId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise<Run>;
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/**
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* Modifies a run.
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*/
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update(threadId: string, runId: string, body: RunUpdateParams, options?: Core.RequestOptions): Core.APIPromise<Run>;
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/**
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* Returns a list of runs belonging to a thread.
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*/
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list(threadId: string, query?: RunListParams, options?: Core.RequestOptions): Core.PagePromise<RunsPage, Run>;
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list(threadId: string, options?: Core.RequestOptions): Core.PagePromise<RunsPage, Run>;
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/**
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* Cancels a run that is `in_progress`.
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*/
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cancel(threadId: string, runId: string, options?: Core.RequestOptions): Core.APIPromise<Run>;
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/**
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* A helper to create a run an poll for a terminal state. More information on Run
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* lifecycles can be found here:
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* https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
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*/
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createAndPoll(threadId: string, body: RunCreateParamsNonStreaming, options?: Core.RequestOptions & {
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pollIntervalMs?: number;
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}): Promise<Run>;
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/**
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* Create a Run stream
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*
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* @deprecated use `stream` instead
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*/
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createAndStream(threadId: string, body: RunCreateParamsBaseStream, options?: Core.RequestOptions): AssistantStream;
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/**
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* A helper to poll a run status until it reaches a terminal state. More
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* information on Run lifecycles can be found here:
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* https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
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*/
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poll(threadId: string, runId: string, options?: Core.RequestOptions & {
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pollIntervalMs?: number;
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}): Promise<Run>;
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/**
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* Create a Run stream
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*/
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stream(threadId: string, body: RunCreateParamsBaseStream, options?: Core.RequestOptions): AssistantStream;
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/**
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* When a run has the `status: "requires_action"` and `required_action.type` is
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* `submit_tool_outputs`, this endpoint can be used to submit the outputs from the
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* tool calls once they're all completed. All outputs must be submitted in a single
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* request.
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*/
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submitToolOutputs(threadId: string, runId: string, body: RunSubmitToolOutputsParamsNonStreaming, options?: Core.RequestOptions): APIPromise<Run>;
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submitToolOutputs(threadId: string, runId: string, body: RunSubmitToolOutputsParamsStreaming, options?: Core.RequestOptions): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>;
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submitToolOutputs(threadId: string, runId: string, body: RunSubmitToolOutputsParamsBase, options?: Core.RequestOptions): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent> | Run>;
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/**
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* A helper to submit a tool output to a run and poll for a terminal run state.
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* More information on Run lifecycles can be found here:
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* https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
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*/
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submitToolOutputsAndPoll(threadId: string, runId: string, body: RunSubmitToolOutputsParamsNonStreaming, options?: Core.RequestOptions & {
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pollIntervalMs?: number;
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}): Promise<Run>;
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/**
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* Submit the tool outputs from a previous run and stream the run to a terminal
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* state. More information on Run lifecycles can be found here:
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* https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
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*/
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submitToolOutputsStream(threadId: string, runId: string, body: RunSubmitToolOutputsParamsStream, options?: Core.RequestOptions): AssistantStream;
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}
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export declare class RunsPage extends CursorPage<Run> {
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}
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/**
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* Tool call objects
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*/
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export interface RequiredActionFunctionToolCall {
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/**
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* The ID of the tool call. This ID must be referenced when you submit the tool
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* outputs in using the
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* [Submit tool outputs to run](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
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* endpoint.
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*/
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id: string;
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/**
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* The function definition.
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*/
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function: RequiredActionFunctionToolCall.Function;
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/**
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* The type of tool call the output is required for. For now, this is always
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* `function`.
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*/
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type: 'function';
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}
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export declare namespace RequiredActionFunctionToolCall {
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/**
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* The function definition.
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*/
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interface Function {
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/**
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* The arguments that the model expects you to pass to the function.
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*/
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arguments: string;
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/**
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* The name of the function.
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*/
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name: string;
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}
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}
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/**
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* Represents an execution run on a
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* [thread](https://platform.openai.com/docs/api-reference/threads).
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*/
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export interface Run {
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/**
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* The identifier, which can be referenced in API endpoints.
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*/
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id: string;
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/**
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* The ID of the
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* [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
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* execution of this run.
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*/
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assistant_id: string;
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/**
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* The Unix timestamp (in seconds) for when the run was cancelled.
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*/
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cancelled_at: number | null;
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/**
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* The Unix timestamp (in seconds) for when the run was completed.
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*/
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completed_at: number | null;
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/**
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* The Unix timestamp (in seconds) for when the run was created.
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*/
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created_at: number;
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/**
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* The Unix timestamp (in seconds) for when the run will expire.
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*/
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expires_at: number | null;
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/**
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* The Unix timestamp (in seconds) for when the run failed.
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*/
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failed_at: number | null;
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/**
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* Details on why the run is incomplete. Will be `null` if the run is not
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* incomplete.
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*/
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incomplete_details: Run.IncompleteDetails | null;
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/**
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* The instructions that the
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* [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
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* this run.
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*/
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instructions: string;
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/**
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* The last error associated with this run. Will be `null` if there are no errors.
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*/
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last_error: Run.LastError | null;
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/**
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* The maximum number of completion tokens specified to have been used over the
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* course of the run.
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*/
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max_completion_tokens: number | null;
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/**
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* The maximum number of prompt tokens specified to have been used over the course
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* of the run.
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*/
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max_prompt_tokens: number | null;
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/**
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* Set of 16 key-value pairs that can be attached to an object. This can be useful
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* for storing additional information about the object in a structured format. Keys
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* can be a maximum of 64 characters long and values can be a maxium of 512
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* characters long.
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*/
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metadata: unknown | null;
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/**
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* The model that the
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* [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
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* this run.
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*/
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model: string;
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/**
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* The object type, which is always `thread.run`.
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*/
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object: 'thread.run';
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/**
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* Details on the action required to continue the run. Will be `null` if no action
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* is required.
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*/
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required_action: Run.RequiredAction | null;
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/**
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* Specifies the format that the model must output. Compatible with
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* [GPT-4o](https://platform.openai.com/docs/models/gpt-4o),
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* [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4),
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* and all GPT-3.5 Turbo models since `gpt-3.5-turbo-1106`.
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*
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* Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
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* message the model generates is valid JSON.
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*
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* **Important:** when using JSON mode, you **must** also instruct the model to
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* produce JSON yourself via a system or user message. Without this, the model may
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* generate an unending stream of whitespace until the generation reaches the token
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* limit, resulting in a long-running and seemingly "stuck" request. Also note that
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* the message content may be partially cut off if `finish_reason="length"`, which
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* indicates the generation exceeded `max_tokens` or the conversation exceeded the
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* max context length.
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*/
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response_format: ThreadsAPI.AssistantResponseFormatOption | null;
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/**
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* The Unix timestamp (in seconds) for when the run was started.
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*/
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started_at: number | null;
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/**
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* The status of the run, which can be either `queued`, `in_progress`,
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* `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
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* `incomplete`, or `expired`.
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*/
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status: RunStatus;
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/**
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* The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
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* that was executed on as a part of this run.
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*/
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thread_id: string;
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/**
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* Controls which (if any) tool is called by the model. `none` means the model will
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* not call any tools and instead generates a message. `auto` is the default value
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* and means the model can pick between generating a message or calling one or more
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* tools. `required` means the model must call one or more tools before responding
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* to the user. Specifying a particular tool like `{"type": "file_search"}` or
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* `{"type": "function", "function": {"name": "my_function"}}` forces the model to
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* call that tool.
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*/
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tool_choice: ThreadsAPI.AssistantToolChoiceOption | null;
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/**
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* The list of tools that the
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* [assistant](https://platform.openai.com/docs/api-reference/assistants) used for
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* this run.
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*/
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tools: Array<AssistantsAPI.AssistantTool>;
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/**
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* Controls for how a thread will be truncated prior to the run. Use this to
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* control the intial context window of the run.
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*/
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truncation_strategy: Run.TruncationStrategy | null;
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/**
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* Usage statistics related to the run. This value will be `null` if the run is not
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* in a terminal state (i.e. `in_progress`, `queued`, etc.).
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*/
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usage: Run.Usage | null;
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/**
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* The sampling temperature used for this run. If not set, defaults to 1.
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*/
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temperature?: number | null;
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/**
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* The nucleus sampling value used for this run. If not set, defaults to 1.
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*/
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top_p?: number | null;
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}
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export declare namespace Run {
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/**
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* Details on why the run is incomplete. Will be `null` if the run is not
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* incomplete.
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*/
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interface IncompleteDetails {
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/**
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* The reason why the run is incomplete. This will point to which specific token
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* limit was reached over the course of the run.
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*/
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reason?: 'max_completion_tokens' | 'max_prompt_tokens';
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}
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/**
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* The last error associated with this run. Will be `null` if there are no errors.
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*/
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interface LastError {
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/**
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* One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
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*/
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code: 'server_error' | 'rate_limit_exceeded' | 'invalid_prompt';
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/**
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* A human-readable description of the error.
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*/
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message: string;
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}
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/**
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* Details on the action required to continue the run. Will be `null` if no action
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* is required.
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*/
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interface RequiredAction {
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/**
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* Details on the tool outputs needed for this run to continue.
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*/
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submit_tool_outputs: RequiredAction.SubmitToolOutputs;
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/**
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* For now, this is always `submit_tool_outputs`.
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*/
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type: 'submit_tool_outputs';
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}
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namespace RequiredAction {
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/**
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* Details on the tool outputs needed for this run to continue.
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*/
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interface SubmitToolOutputs {
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/**
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* A list of the relevant tool calls.
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*/
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tool_calls: Array<RunsAPI.RequiredActionFunctionToolCall>;
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}
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}
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/**
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* Controls for how a thread will be truncated prior to the run. Use this to
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* control the intial context window of the run.
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*/
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interface TruncationStrategy {
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/**
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* The truncation strategy to use for the thread. The default is `auto`. If set to
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* `last_messages`, the thread will be truncated to the n most recent messages in
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* the thread. When set to `auto`, messages in the middle of the thread will be
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* dropped to fit the context length of the model, `max_prompt_tokens`.
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*/
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type: 'auto' | 'last_messages';
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/**
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* The number of most recent messages from the thread when constructing the context
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* for the run.
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*/
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last_messages?: number | null;
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}
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/**
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* Usage statistics related to the run. This value will be `null` if the run is not
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* in a terminal state (i.e. `in_progress`, `queued`, etc.).
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*/
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interface Usage {
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/**
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* Number of completion tokens used over the course of the run.
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*/
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completion_tokens: number;
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/**
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* Number of prompt tokens used over the course of the run.
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*/
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prompt_tokens: number;
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/**
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* Total number of tokens used (prompt + completion).
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*/
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total_tokens: number;
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}
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}
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/**
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* The status of the run, which can be either `queued`, `in_progress`,
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* `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
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* `incomplete`, or `expired`.
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*/
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export type RunStatus = 'queued' | 'in_progress' | 'requires_action' | 'cancelling' | 'cancelled' | 'failed' | 'completed' | 'incomplete' | 'expired';
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export type RunCreateParams = RunCreateParamsNonStreaming | RunCreateParamsStreaming;
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export interface RunCreateParamsBase {
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/**
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* The ID of the
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* [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
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* execute this run.
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*/
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assistant_id: string;
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/**
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* Appends additional instructions at the end of the instructions for the run. This
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* is useful for modifying the behavior on a per-run basis without overriding other
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* instructions.
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*/
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additional_instructions?: string | null;
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/**
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* Adds additional messages to the thread before creating the run.
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*/
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additional_messages?: Array<RunCreateParams.AdditionalMessage> | null;
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/**
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* Overrides the
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* [instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
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* of the assistant. This is useful for modifying the behavior on a per-run basis.
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*/
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instructions?: string | null;
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/**
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* The maximum number of completion tokens that may be used over the course of the
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* run. The run will make a best effort to use only the number of completion tokens
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* specified, across multiple turns of the run. If the run exceeds the number of
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* completion tokens specified, the run will end with status `incomplete`. See
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* `incomplete_details` for more info.
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*/
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max_completion_tokens?: number | null;
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/**
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* The maximum number of prompt tokens that may be used over the course of the run.
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* The run will make a best effort to use only the number of prompt tokens
|
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* specified, across multiple turns of the run. If the run exceeds the number of
|
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* prompt tokens specified, the run will end with status `incomplete`. See
|
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* `incomplete_details` for more info.
|
|
*/
|
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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;
|
|
/**
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* The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
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* be used to execute this run. If a value is provided here, it will override the
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* model associated with the assistant. If not, the model associated with the
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* assistant will be used.
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*/
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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.
|
|
*/
|
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response_format?: ThreadsAPI.AssistantResponseFormatOption | null;
|
|
/**
|
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* If `true`, returns a stream of events that happen during the Run as server-sent
|
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* events, terminating when the Run enters a terminal state with a `data: [DONE]`
|
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* message.
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*/
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stream?: boolean | null;
|
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/**
|
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* 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.
|
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*/
|
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temperature?: number | null;
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/**
|
|
* 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
|