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The official TypeScript library for the OpenAI API

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// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. import { APIResource } from '../../../resource'; import { isRequestOptions } from '../../../core'; import { AssistantStream, ThreadCreateAndRunParamsBaseStream } from '../../../lib/AssistantStream'; import { APIPromise } from '../../../core'; import * as Core from '../../../core'; import * as ThreadsAPI from './threads'; import * as Shared from '../../shared'; import * as AssistantsAPI from '../assistants'; import * as ChatAPI from '../../chat/chat'; import * as MessagesAPI from './messages'; import { Annotation, AnnotationDelta, FileCitationAnnotation, FileCitationDeltaAnnotation, FilePathAnnotation, FilePathDeltaAnnotation, ImageFile, ImageFileContentBlock, ImageFileDelta, ImageFileDeltaBlock, ImageURL, ImageURLContentBlock, ImageURLDelta, ImageURLDeltaBlock, Message as MessagesAPIMessage, MessageContent, MessageContentDelta, MessageContentPartParam, MessageCreateParams, MessageDeleted, MessageDelta, MessageDeltaEvent, MessageListParams, MessageUpdateParams, Messages, MessagesPage, RefusalContentBlock, RefusalDeltaBlock, Text, TextContentBlock, TextContentBlockParam, TextDelta, TextDeltaBlock, } from './messages'; import * as VectorStoresAPI from '../vector-stores/vector-stores'; import * as RunsAPI from './runs/runs'; import { RequiredActionFunctionToolCall, Run, RunCreateAndPollParams, RunCreateAndStreamParams, RunCreateParams, RunCreateParamsNonStreaming, RunCreateParamsStreaming, RunListParams, RunStatus, RunStreamParams, RunSubmitToolOutputsAndPollParams, RunSubmitToolOutputsParams, RunSubmitToolOutputsParamsNonStreaming, RunSubmitToolOutputsParamsStreaming, RunSubmitToolOutputsStreamParams, RunUpdateParams, Runs, RunsPage, } from './runs/runs'; import { Stream } from '../../../streaming'; export class Threads extends APIResource { runs: RunsAPI.Runs = new RunsAPI.Runs(this._client); messages: MessagesAPI.Messages = new MessagesAPI.Messages(this._client); /** * Create a thread. */ create(body?: ThreadCreateParams, options?: Core.RequestOptions): Core.APIPromise<Thread>; create(options?: Core.RequestOptions): Core.APIPromise<Thread>; create( body: ThreadCreateParams | Core.RequestOptions = {}, options?: Core.RequestOptions, ): Core.APIPromise<Thread> { if (isRequestOptions(body)) { return this.create({}, body); } return this._client.post('/threads', { body, ...options, headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, }); } /** * Retrieves a thread. */ retrieve(threadId: string, options?: Core.RequestOptions): Core.APIPromise<Thread> { return this._client.get(`/threads/${threadId}`, { ...options, headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, }); } /** * Modifies a thread. */ update(threadId: string, body: ThreadUpdateParams, options?: Core.RequestOptions): Core.APIPromise<Thread> { return this._client.post(`/threads/${threadId}`, { body, ...options, headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, }); } /** * Delete a thread. */ del(threadId: string, options?: Core.RequestOptions): Core.APIPromise<ThreadDeleted> { return this._client.delete(`/threads/${threadId}`, { ...options, headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, }); } /** * Create a thread and run it in one request. */ createAndRun( body: ThreadCreateAndRunParamsNonStreaming, options?: Core.RequestOptions, ): APIPromise<RunsAPI.Run>; createAndRun( body: ThreadCreateAndRunParamsStreaming, options?: Core.RequestOptions, ): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>; createAndRun( body: ThreadCreateAndRunParamsBase, options?: Core.RequestOptions, ): APIPromise<Stream<AssistantsAPI.AssistantStreamEvent> | RunsAPI.Run>; createAndRun( body: ThreadCreateAndRunParams, options?: Core.RequestOptions, ): APIPromise<RunsAPI.Run> | APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>> { return this._client.post('/threads/runs', { body, ...options, headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers }, stream: body.stream ?? false, }) as APIPromise<RunsAPI.Run> | APIPromise<Stream<AssistantsAPI.AssistantStreamEvent>>; } /** * A helper to create a thread, start a run and then 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 */ async createAndRunPoll( body: ThreadCreateAndRunParamsNonStreaming, options?: Core.RequestOptions & { pollIntervalMs?: number }, ): Promise<Threads.Run> { const run = await this.createAndRun(body, options); return await this.runs.poll(run.thread_id, run.id, options); } /** * Create a thread and stream the run back */ createAndRunStream( body: ThreadCreateAndRunParamsBaseStream, options?: Core.RequestOptions, ): AssistantStream { return AssistantStream.createThreadAssistantStream(body, this._client.beta.threads, options); } } /** * 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_schema", "json_schema": {...} }` enables Structured * Outputs which ensures the model will match your supplied JSON schema. Learn more * in the * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). * * Setting to `{ "type": "json_object" }` enables JSON mode, which ensures 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. */ export type AssistantResponseFormatOption = | 'auto' | Shared.ResponseFormatText | Shared.ResponseFormatJSONObject | Shared.ResponseFormatJSONSchema; /** * Specifies a tool the model should use. Use to force the model to call a specific * tool. */ export interface AssistantToolChoice { /** * The type of the tool. If type is `function`, the function name must be set */ type: 'function' | 'code_interpreter' | 'file_search'; function?: AssistantToolChoiceFunction; } export interface AssistantToolChoiceFunction { /** * The name of the function to call. */ name: 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. */ export type AssistantToolChoiceOption = 'none' | 'auto' | 'required' | AssistantToolChoice; /** * Represents a thread that contains * [messages](https://platform.openai.com/docs/api-reference/messages). */ export interface Thread { /** * The identifier, which can be referenced in API endpoints. */ id: string; /** * The Unix timestamp (in seconds) for when the thread was created. */ created_at: number; /** * 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 object type, which is always `thread`. */ object: 'thread'; /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ tool_resources: Thread.ToolResources | null; } export namespace Thread { /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ export interface ToolResources { code_interpreter?: ToolResources.CodeInterpreter; file_search?: ToolResources.FileSearch; } export namespace ToolResources { export interface CodeInterpreter { /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made * available to the `code_interpreter` tool. There can be a maximum of 20 files * associated with the tool. */ file_ids?: Array<string>; } export interface FileSearch { /** * The * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * attached to this thread. There can be a maximum of 1 vector store attached to * the thread. */ vector_store_ids?: Array<string>; } } } export interface ThreadDeleted { id: string; deleted: boolean; object: 'thread.deleted'; } export interface ThreadCreateParams { /** * A list of [messages](https://platform.openai.com/docs/api-reference/messages) to * start the thread with. */ messages?: Array<ThreadCreateParams.Message>; /** * 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; /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ tool_resources?: ThreadCreateParams.ToolResources | null; } export namespace ThreadCreateParams { export interface Message { /** * 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<Message.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; } export namespace Message { export 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 | Attachment.FileSearch>; } export namespace Attachment { export interface FileSearch { /** * The type of tool being defined: `file_search` */ type: 'file_search'; } } } /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ export interface ToolResources { code_interpreter?: ToolResources.CodeInterpreter; file_search?: ToolResources.FileSearch; } export namespace ToolResources { export interface CodeInterpreter { /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made * available to the `code_interpreter` tool. There can be a maximum of 20 files * associated with the tool. */ file_ids?: Array<string>; } export interface FileSearch { /** * The * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * attached to this thread. There can be a maximum of 1 vector store attached to * the thread. */ vector_store_ids?: Array<string>; /** * A helper to create a * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * with file_ids and attach it to this thread. There can be a maximum of 1 vector * store attached to the thread. */ vector_stores?: Array<FileSearch.VectorStore>; } export namespace FileSearch { export interface VectorStore { /** * The chunking strategy used to chunk the file(s). If not set, will use the `auto` * strategy. Only applicable if `file_ids` is non-empty. */ chunking_strategy?: VectorStoresAPI.FileChunkingStrategyParam; /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to * add to the vector store. There can be a maximum of 10000 files in a vector * store. */ file_ids?: Array<string>; /** * Set of 16 key-value pairs that can be attached to a vector store. This can be * useful for storing additional information about the vector store 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; } } } } export interface ThreadUpdateParams { /** * 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; /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ tool_resources?: ThreadUpdateParams.ToolResources | null; } export namespace ThreadUpdateParams { /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ export interface ToolResources { code_interpreter?: ToolResources.CodeInterpreter; file_search?: ToolResources.FileSearch; } export namespace ToolResources { export interface CodeInterpreter { /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made * available to the `code_interpreter` tool. There can be a maximum of 20 files * associated with the tool. */ file_ids?: Array<string>; } export interface FileSearch { /** * The * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * attached to this thread. There can be a maximum of 1 vector store attached to * the thread. */ vector_store_ids?: Array<string>; } } } export type ThreadCreateAndRunParams = | ThreadCreateAndRunParamsNonStreaming | ThreadCreateAndRunParamsStreaming; export interface ThreadCreateAndRunParamsBase { /** * The ID of the * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to * execute this run. */ assistant_id: string; /** * Override the default system message 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 & {}) | ChatAPI.ChatModel | null; /** * Whether to enable * [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling) * during tool use. */ parallel_tool_calls?: boolean; /** * 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_schema", "json_schema": {...} }` enables Structured * Outputs which ensures the model will match your supplied JSON schema. Learn more * in the * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs). * * Setting to `{ "type": "json_object" }` enables JSON mode, which ensures 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?: 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; /** * If no thread is provided, an empty thread will be created. */ thread?: ThreadCreateAndRunParams.Thread; /** * 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?: AssistantToolChoiceOption | null; /** * A set of resources that are used by the assistant's tools. The resources are * specific to the type of tool. For example, the `code_interpreter` tool requires * a list of file IDs, while the `file_search` tool requires a list of vector store * IDs. */ tool_resources?: ThreadCreateAndRunParams.ToolResources | 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.CodeInterpreterTool | AssistantsAPI.FileSearchTool | AssistantsAPI.FunctionTool > | 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?: ThreadCreateAndRunParams.TruncationStrategy | null; } export namespace ThreadCreateAndRunParams { /** * If no thread is provided, an empty thread will be created. */ export interface Thread { /** * A list of [messages](https://platform.openai.com/docs/api-reference/messages) to * start the thread with. */ messages?: Array<Thread.Message>; /** * 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; /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ tool_resources?: Thread.ToolResources | null; } export namespace Thread { export interface Message { /** * 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<Message.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; } export namespace Message { export 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 | Attachment.FileSearch>; } export namespace Attachment { export interface FileSearch { /** * The type of tool being defined: `file_search` */ type: 'file_search'; } } } /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ export interface ToolResources { code_interpreter?: ToolResources.CodeInterpreter; file_search?: ToolResources.FileSearch; } export namespace ToolResources { export interface CodeInterpreter { /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made * available to the `code_interpreter` tool. There can be a maximum of 20 files * associated with the tool. */ file_ids?: Array<string>; } export interface FileSearch { /** * The * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * attached to this thread. There can be a maximum of 1 vector store attached to * the thread. */ vector_store_ids?: Array<string>; /** * A helper to create a * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * with file_ids and attach it to this thread. There can be a maximum of 1 vector * store attached to the thread. */ vector_stores?: Array<FileSearch.VectorStore>; } export namespace FileSearch { export interface VectorStore { /** * The chunking strategy used to chunk the file(s). If not set, will use the `auto` * strategy. Only applicable if `file_ids` is non-empty. */ chunking_strategy?: VectorStoresAPI.FileChunkingStrategyParam; /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to * add to the vector store. There can be a maximum of 10000 files in a vector * store. */ file_ids?: Array<string>; /** * Set of 16 key-value pairs that can be attached to a vector store. This can be * useful for storing additional information about the vector store 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; } } } } /** * A set of resources that are used by the assistant's tools. The resources are * specific to the type of tool. For example, the `code_interpreter` tool requires * a list of file IDs, while the `file_search` tool requires a list of vector store * IDs. */ export interface ToolResources { code_interpreter?: ToolResources.CodeInterpreter; file_search?: ToolResources.FileSearch; } export namespace ToolResources { export interface CodeInterpreter { /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made * available to the `code_interpreter` tool. There can be a maximum of 20 files * associated with the tool. */ file_ids?: Array<string>; } export interface FileSearch { /** * The ID of the * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * attached to this assistant. There can be a maximum of 1 vector store attached to * the assistant. */ vector_store_ids?: Array<string>; } } /** * Controls for how a thread will be truncated prior to the run. Use this to * control the intial context window of the run. */ export 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 ThreadCreateAndRunParamsNonStreaming = ThreadsAPI.ThreadCreateAndRunParamsNonStreaming; export type ThreadCreateAndRunParamsStreaming = ThreadsAPI.ThreadCreateAndRunParamsStreaming; } export interface ThreadCreateAndRunParamsNonStreaming extends ThreadCreateAndRunParamsBase { /** * 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 ThreadCreateAndRunParamsStreaming extends ThreadCreateAndRunParamsBase { /** * 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 ThreadCreateAndRunPollParams { /** * The ID of the * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to * execute this run. */ assistant_id: string; /** * Override the default system message 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?: 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; /** * If no thread is provided, an empty thread will be created. */ thread?: ThreadCreateAndRunPollParams.Thread; /** * 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?: AssistantToolChoiceOption | null; /** * A set of resources that are used by the assistant's tools. The resources are * specific to the type of tool. For example, the `code_interpreter` tool requires * a list of file IDs, while the `file_search` tool requires a list of vector store * IDs. */ tool_resources?: ThreadCreateAndRunPollParams.ToolResources | 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.CodeInterpreterTool | AssistantsAPI.FileSearchTool | AssistantsAPI.FunctionTool > | 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?: ThreadCreateAndRunPollParams.TruncationStrategy | null; } export namespace ThreadCreateAndRunPollParams { /** * If no thread is provided, an empty thread will be created. */ export interface Thread { /** * A list of [messages](https://platform.openai.com/docs/api-reference/messages) to * start the thread with. */ messages?: Array<Thread.Message>; /** * 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; /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ tool_resources?: Thread.ToolResources | null; } export namespace Thread { export interface Message { /** * 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<Message.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; } export namespace Message { export 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>; } } /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ export interface ToolResources { code_interpreter?: ToolResources.CodeInterpreter; file_search?: ToolResources.FileSearch; } export namespace ToolResources { export interface CodeInterpreter { /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made * available to the `code_interpreter` tool. There can be a maximum of 20 files * associated with the tool. */ file_ids?: Array<string>; } export interface FileSearch { /** * The * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * attached to this thread. There can be a maximum of 1 vector store attached to * the thread. */ vector_store_ids?: Array<string>; /** * A helper to create a * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * with file_ids and attach it to this thread. There can be a maximum of 1 vector * store attached to the thread. */ vector_stores?: Array<FileSearch.VectorStore>; } export namespace FileSearch { export interface VectorStore { /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs to * add to the vector store. There can be a maximum of 10000 files in a vector * store. */ file_ids?: Array<string>; /** * Set of 16 key-value pairs that can be attached to a vector store. This can be * useful for storing additional information about the vector store 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; } } } } /** * A set of resources that are used by the assistant's tools. The resources are * specific to the type of tool. For example, the `code_interpreter` tool requires * a list of file IDs, while the `file_search` tool requires a list of vector store * IDs. */ export interface ToolResources { code_interpreter?: ToolResources.CodeInterpreter; file_search?: ToolResources.FileSearch; } export namespace ToolResources { export interface CodeInterpreter { /** * A list of [file](https://platform.openai.com/docs/api-reference/files) IDs made * available to the `code_interpreter` tool. There can be a maximum of 20 files * associated with the tool. */ file_ids?: Array<string>; } export interface FileSearch { /** * The ID of the * [vector store](https://platform.openai.com/docs/api-reference/vector-stores/object) * attached to this assistant. There can be a maximum of 1 vector store attached to * the assistant. */ vector_store_ids?: Array<string>; } } /** * Controls for how a thread will be truncated prior to the run. Use this to * control the intial context window of the run. */ export 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 ThreadCreateAndRunStreamParams { /** * The ID of the * [assistant](https://platform.openai.com/docs/api-reference/assistants) to use to * execute this run. */ assistant_id: string; /** * Override the default system message 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?: 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; /** * If no thread is provided, an empty thread will be created. */ thread?: ThreadCreateAndRunStreamParams.Thread; /** * 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?: AssistantToolChoiceOption | null; /** * A set of resources that are used by the assistant's tools. The resources are * specific to the type of tool. For example, the `code_interpreter` tool requires * a list of file IDs, while the `file_search` tool requires a list of vector store * IDs. */ tool_resources?: ThreadCreateAndRunStreamParams.ToolResources | 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.CodeInterpreterTool | AssistantsAPI.FileSearchTool | AssistantsAPI.FunctionTool > | 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?: ThreadCreateAndRunStreamParams.TruncationStrategy | null; } export namespace ThreadCreateAndRunStreamParams { /** * If no thread is provided, an empty thread will be created. */ export interface Thread { /** * A list of [messages](https://platform.openai.com/docs/api-reference/messages) to * start the thread with. */ messages?: Array<Thread.Message>; /** * 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; /** * A set of resources that are made available to the assistant's tools in this * thread. The resources are specific to the type of tool. For example, the * `code_interpreter` tool requires a list of file IDs, while the `file_search` * tool requires a list of vector store IDs. */ tool_resources?: Thread.ToolResources | null; } export namespace Thread { export interface Message { /** * 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