API Reference

Beta

Threads

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Create thread and run

Deprecated: The Assistants API is deprecated in favor of the Responses API

beta.threads.create_and_run(**kwargs) -> Run { id, assistant_id, cancelled_at, 24 more }

POST/threads/runs

Create a thread and run it in one request.

ParametersExpand Collapse

assistant_id: String

The ID of the assistant to use to execute this run.

instructions: String

Override the default system message of the assistant. This is useful for modifying the behavior on a per-run basis.

max_completion_tokens: Integer

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.

minimum256

max_prompt_tokens: Integer

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.

minimum256

metadata: Metadata

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, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.

model: String | ChatModel

The ID of the Model 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.

parallel_tool_calls: bool

Whether to enable parallel function calling during tool use.

response_format: AssistantResponseFormatOption

Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

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.

stream: bool

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.

temperature: Float

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.

minimum0

maximum2

thread: Thread{ messages, metadata, tool_resources}

Options to create a new thread. If no thread is provided when running a request, an empty thread will be created.

tool_choice: AssistantToolChoiceOption

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_resources: ToolResources{ code_interpreter, file_search}

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.

tools: Array[AssistantTool]

Override the tools the assistant can use for this run. This is useful for modifying the behavior on a per-run basis.

top_p: Float

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.

minimum0

maximum1

truncation_strategy: TruncationStrategy{ type, last_messages}

Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run.

ReturnsExpand Collapse

class Run { id, assistant_id, cancelled_at, 24 more }

Represents an execution run on a thread.

id: String

The identifier, which can be referenced in API endpoints.

assistant_id: String

The ID of the assistant used for execution of this run.

cancelled_at: Integer

The Unix timestamp (in seconds) for when the run was cancelled.

formatunixtime

completed_at: Integer

The Unix timestamp (in seconds) for when the run was completed.

formatunixtime

created_at: Integer

The Unix timestamp (in seconds) for when the run was created.

formatunixtime

expires_at: Integer

The Unix timestamp (in seconds) for when the run will expire.

formatunixtime

failed_at: Integer

The Unix timestamp (in seconds) for when the run failed.

formatunixtime

incomplete_details: IncompleteDetails{ reason}

Details on why the run is incomplete. Will be null if the run is not incomplete.

instructions: String

The instructions that the assistant used for this run.

last_error: LastError{ code, message}

The last error associated with this run. Will be null if there are no errors.

max_completion_tokens: Integer

The maximum number of completion tokens specified to have been used over the course of the run.

minimum256

max_prompt_tokens: Integer

The maximum number of prompt tokens specified to have been used over the course of the run.

minimum256

metadata: Metadata

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, and querying for objects via API or the dashboard.

Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.

model: String

The model that the assistant used for this run.

object: :"thread.run"

The object type, which is always thread.run.

parallel_tool_calls: bool

Whether to enable parallel function calling during tool use.

required_action: RequiredAction{ submit_tool_outputs, type}

Details on the action required to continue the run. Will be null if no action is required.

response_format: AssistantResponseFormatOption

Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, 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.

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.

started_at: Integer

The Unix timestamp (in seconds) for when the run was started.

formatunixtime

status: RunStatus

The status of the run, which can be either queued, in_progress, requires_action, cancelling, cancelled, failed, completed, incomplete, or expired.

thread_id: String

The ID of the thread that was executed on as a part of this run.

tool_choice: AssistantToolChoiceOption

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.

tools: Array[AssistantTool]

The list of tools that the assistant used for this run.

truncation_strategy: TruncationStrategy{ type, last_messages}

Controls for how a thread will be truncated prior to the run. Use this to control the initial context window of the run.

usage: Usage{ completion_tokens, prompt_tokens, total_tokens}

Usage statistics related to the run. This value will be null if the run is not in a terminal state (i.e. in_progress, queued, etc.).

temperature: Float

The sampling temperature used for this run. If not set, defaults to 1.

top_p: Float

The nucleus sampling value used for this run. If not set, defaults to 1.

Create thread and run

Ruby

HTTP

Python

TypeScript

Go

Ruby

Java

CLI Tool

require "openai"

openai = OpenAI::Client.new(api_key: "My API Key")

run = openai.beta.threads.create_and_run(assistant_id: "assistant_id")

puts(run)

{
  "id": "run_abc123",
  "object": "thread.run",
  "created_at": 1699076792,
  "assistant_id": "asst_abc123",
  "thread_id": "thread_abc123",
  "status": "queued",
  "started_at": null,
  "expires_at": 1699077392,
  "cancelled_at": null,
  "failed_at": null,
  "completed_at": null,
  "required_action": null,
  "last_error": null,
  "model": "gpt-4o",
  "instructions": "You are a helpful assistant.",
  "tools": [],
  "tool_resources": {},
  "metadata": {},
  "temperature": 1.0,
  "top_p": 1.0,
  "max_completion_tokens": null,
  "max_prompt_tokens": null,
  "truncation_strategy": {
    "type": "auto",
    "last_messages": null
  },
  "incomplete_details": null,
  "usage": null,
  "response_format": "auto",
  "tool_choice": "auto",
  "parallel_tool_calls": true
}

Returns Examples

{
  "id": "run_abc123",
  "object": "thread.run",
  "created_at": 1699076792,
  "assistant_id": "asst_abc123",
  "thread_id": "thread_abc123",
  "status": "queued",
  "started_at": null,
  "expires_at": 1699077392,
  "cancelled_at": null,
  "failed_at": null,
  "completed_at": null,
  "required_action": null,
  "last_error": null,
  "model": "gpt-4o",
  "instructions": "You are a helpful assistant.",
  "tools": [],
  "tool_resources": {},
  "metadata": {},
  "temperature": 1.0,
  "top_p": 1.0,
  "max_completion_tokens": null,
  "max_prompt_tokens": null,
  "truncation_strategy": {
    "type": "auto",
    "last_messages": null
  },
  "incomplete_details": null,
  "usage": null,
  "response_format": "auto",
  "tool_choice": "auto",
  "parallel_tool_calls": true
}