Skip to content
Primary navigation

Suggested
API Dashboard
API Reference
Beta
Threads

Runs

Build Assistants that can call models and use tools.

List runs
Deprecated
$ openai beta:threads:runs list
GET/threads/{thread_id}/runs
Create run
Deprecated
$ openai beta:threads:runs create
POST/threads/{thread_id}/runs
Retrieve run
Deprecated
$ openai beta:threads:runs retrieve
GET/threads/{thread_id}/runs/{run_id}
Modify run
Deprecated
$ openai beta:threads:runs update
POST/threads/{thread_id}/runs/{run_id}
Submit tool outputs to run
Deprecated
$ openai beta:threads:runs submit-tool-outputs
POST/threads/{thread_id}/runs/{run_id}/submit_tool_outputs
Cancel a run
Deprecated
$ openai beta:threads:runs cancel
POST/threads/{thread_id}/runs/{run_id}/cancel
ModelsExpand Collapse
required_action_function_tool_call: object { id, function, type }

Tool call objects

id: string

The ID of the tool call. This ID must be referenced when you submit the tool outputs in using the Submit tool outputs to run endpoint.

function: object { arguments, name }

The function definition.

arguments: string

The arguments that the model expects you to pass to the function.

name: string

The name of the function.

type: "function"

The type of tool call the output is required for. For now, this is always function.

run: object { 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: number

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

completed_at: number

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

created_at: number

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

expires_at: number

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

failed_at: number

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

incomplete_details: object { reason }

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

reason: optional "max_completion_tokens" or "max_prompt_tokens"

The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run.

"max_completion_tokens"
"max_prompt_tokens"
instructions: string

The instructions that the assistant used for this run.

last_error: object { code, message }

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

code: "server_error" or "rate_limit_exceeded" or "invalid_prompt"

One of server_error, rate_limit_exceeded, or invalid_prompt.

"server_error"
"rate_limit_exceeded"
"invalid_prompt"
message: string

A human-readable description of the error.

max_completion_tokens: number

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

max_prompt_tokens: number

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

metadata: map[string]

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: boolean

Whether to enable parallel function calling during tool use.

required_action: object { submit_tool_outputs, type }

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

submit_tool_outputs: object { tool_calls }

Details on the tool outputs needed for this run to continue.

tool_calls: array of RequiredActionFunctionToolCall { id, function, type }

A list of the relevant tool calls.

id: string

The ID of the tool call. This ID must be referenced when you submit the tool outputs in using the Submit tool outputs to run endpoint.

function: object { arguments, name }

The function definition.

arguments: string

The arguments that the model expects you to pass to the function.

name: string

The name of the function.

type: "function"

The type of tool call the output is required for. For now, this is always function.

type: "submit_tool_outputs"

For now, this is always submit_tool_outputs.

response_format: "auto" or ResponseFormatText { type } or ResponseFormatJSONObject { type } or ResponseFormatJSONSchema { json_schema, type }

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.

union_member_0: "auto"

auto is the default value

response_format_text: object { type }

Default response format. Used to generate text responses.

type: "text"

The type of response format being defined. Always text.

response_format_json_object: object { type }

JSON object response format. An older method of generating JSON responses. Using json_schema is recommended for models that support it. Note that the model will not generate JSON without a system or user message instructing it to do so.

type: "json_object"

The type of response format being defined. Always json_object.

response_format_json_schema: object { json_schema, type }

JSON Schema response format. Used to generate structured JSON responses. Learn more about Structured Outputs.

json_schema: object { name, description, schema, strict }

Structured Outputs configuration options, including a JSON Schema.

name: string

The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.

description: optional string

A description of what the response format is for, used by the model to determine how to respond in the format.

schema: optional map[unknown]

The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas here.

strict: optional boolean

Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the schema field. Only a subset of JSON Schema is supported when strict is true. To learn more, read the Structured Outputs guide.

type: "json_schema"

The type of response format being defined. Always json_schema.

started_at: number

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

status: "queued" or "in_progress" or "requires_action" or 6 more

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

"queued"
"in_progress"
"requires_action"
"cancelling"
"cancelled"
"failed"
"completed"
"incomplete"
"expired"
thread_id: string

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

tool_choice: "none" or "auto" or "required" or AssistantToolChoice { type, function }

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.

Auto: "none" or "auto" or "required"

none means the model will not call any tools and instead generates a message. auto means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools before responding to the user.

"none"
"auto"
"required"
assistant_tool_choice: object { type, function }

Specifies a tool the model should use. Use to force the model to call a specific tool.

type: "function" or "code_interpreter" or "file_search"

The type of the tool. If type is function, the function name must be set

"function"
"code_interpreter"
"file_search"
function: optional object { name }
name: string

The name of the function to call.

tools: array of AssistantTool

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

code_interpreter_tool: object { type }
type: "code_interpreter"

The type of tool being defined: code_interpreter

file_search_tool: object { type, file_search }
type: "file_search"

The type of tool being defined: file_search

function_tool: object { function, type }
function: object { name, description, parameters, strict }
name: string

The name of the function to be called. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.

description: optional string

A description of what the function does, used by the model to choose when and how to call the function.

parameters: optional map[unknown]

The parameters the functions accepts, described as a JSON Schema object. See the guide for examples, and the JSON Schema reference for documentation about the format.

Omitting parameters defines a function with an empty parameter list.

strict: optional boolean

Whether to enable strict schema adherence when generating the function call. If set to true, the model will follow the exact schema defined in the parameters field. Only a subset of JSON Schema is supported when strict is true. Learn more about Structured Outputs in the function calling guide.

type: "function"

The type of tool being defined: function

truncation_strategy: object { 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.

type: "auto" or "last_messages"

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.

"auto"
"last_messages"
last_messages: optional number

The number of most recent messages from the thread when constructing the context for the run.

usage: object { 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.).

completion_tokens: number

Number of completion tokens used over the course of the run.

prompt_tokens: number

Number of prompt tokens used over the course of the run.

total_tokens: number

Total number of tokens used (prompt + completion).

temperature: optional number

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

top_p: optional number

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

run_status: "queued" or "in_progress" or "requires_action" or 6 more

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

"queued"
"in_progress"
"requires_action"
"cancelling"
"cancelled"
"failed"
"completed"
"incomplete"
"expired"

RunsSteps

Build Assistants that can call models and use tools.

List run steps
Deprecated
$ openai beta:threads:runs:steps list
GET/threads/{thread_id}/runs/{run_id}/steps
Retrieve run step
Deprecated
$ openai beta:threads:runs:steps retrieve
GET/threads/{thread_id}/runs/{run_id}/steps/{step_id}
ModelsExpand Collapse
code_interpreter_logs: object { index, type, logs }

Text output from the Code Interpreter tool call as part of a run step.

index: number

The index of the output in the outputs array.

type: "logs"

Always logs.

logs: optional string

The text output from the Code Interpreter tool call.

code_interpreter_output_image: object { index, type, image }
index: number

The index of the output in the outputs array.

type: "image"

Always image.

image: optional object { file_id }
file_id: optional string

The file ID of the image.

code_interpreter_tool_call: object { id, code_interpreter, type }

Details of the Code Interpreter tool call the run step was involved in.

id: string

The ID of the tool call.

code_interpreter: object { input, outputs }

The Code Interpreter tool call definition.

input: string

The input to the Code Interpreter tool call.

outputs: array of object { logs, type } or object { image, type }

The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (logs) or images (image). Each of these are represented by a different object type.

logs: object { logs, type }

Text output from the Code Interpreter tool call as part of a run step.

logs: string

The text output from the Code Interpreter tool call.

type: "logs"

Always logs.

image: object { image, type }
image: object { file_id }
file_id: string

The file ID of the image.

type: "image"

Always image.

type: "code_interpreter"

The type of tool call. This is always going to be code_interpreter for this type of tool call.

code_interpreter_tool_call_delta: object { index, type, id, code_interpreter }

Details of the Code Interpreter tool call the run step was involved in.

index: number

The index of the tool call in the tool calls array.

type: "code_interpreter"

The type of tool call. This is always going to be code_interpreter for this type of tool call.

id: optional string

The ID of the tool call.

code_interpreter: optional object { input, outputs }

The Code Interpreter tool call definition.

input: optional string

The input to the Code Interpreter tool call.

outputs: optional array of CodeInterpreterLogs { index, type, logs } or CodeInterpreterOutputImage { index, type, image }

The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (logs) or images (image). Each of these are represented by a different object type.

code_interpreter_logs: object { index, type, logs }

Text output from the Code Interpreter tool call as part of a run step.

index: number

The index of the output in the outputs array.

type: "logs"

Always logs.

logs: optional string

The text output from the Code Interpreter tool call.

code_interpreter_output_image: object { index, type, image }
index: number

The index of the output in the outputs array.

type: "image"

Always image.

image: optional object { file_id }
file_id: optional string

The file ID of the image.

file_search_tool_call: object { id, file_search, type }
id: string

The ID of the tool call object.

content: optional array of object { text, type }

The content of the result that was found. The content is only included if requested via the include query parameter.

text: optional string

The text content of the file.

type: optional "text"

The type of the content.

"text"
type: "file_search"

The type of tool call. This is always going to be file_search for this type of tool call.

file_search_tool_call_delta: object { file_search, index, type, id }
index: number

The index of the tool call in the tool calls array.

type: "file_search"

The type of tool call. This is always going to be file_search for this type of tool call.

id: optional string

The ID of the tool call object.

function_tool_call: object { id, function, type }
id: string

The ID of the tool call object.

function: object { arguments, name, output }

The definition of the function that was called.

arguments: string

The arguments passed to the function.

name: string

The name of the function.

output: string

The output of the function. This will be null if the outputs have not been submitted yet.

type: "function"

The type of tool call. This is always going to be function for this type of tool call.

function_tool_call_delta: object { index, type, id, function }
index: number

The index of the tool call in the tool calls array.

type: "function"

The type of tool call. This is always going to be function for this type of tool call.

id: optional string

The ID of the tool call object.

function: optional object { arguments, name, output }

The definition of the function that was called.

arguments: optional string

The arguments passed to the function.

name: optional string

The name of the function.

output: optional string

The output of the function. This will be null if the outputs have not been submitted yet.

message_creation_step_details: object { message_creation, type }

Details of the message creation by the run step.

message_creation: object { message_id }
message_id: string

The ID of the message that was created by this run step.

type: "message_creation"

Always message_creation.

run_step: object { id, assistant_id, cancelled_at, 13 more }

Represents a step in execution of a run.

id: string

The identifier of the run step, which can be referenced in API endpoints.

assistant_id: string

The ID of the assistant associated with the run step.

cancelled_at: number

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

completed_at: number

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

created_at: number

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

expired_at: number

The Unix timestamp (in seconds) for when the run step expired. A step is considered expired if the parent run is expired.

failed_at: number

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

last_error: object { code, message }

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

code: "server_error" or "rate_limit_exceeded"

One of server_error or rate_limit_exceeded.

"server_error"
"rate_limit_exceeded"
message: string

A human-readable description of the error.

metadata: map[string]

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.

object: "thread.run.step"

The object type, which is always thread.run.step.

run_id: string

The ID of the run that this run step is a part of.

status: "in_progress" or "cancelled" or "failed" or 2 more

The status of the run step, which can be either in_progress, cancelled, failed, completed, or expired.

"in_progress"
"cancelled"
"failed"
"completed"
"expired"
step_details: MessageCreationStepDetails { message_creation, type } or ToolCallsStepDetails { tool_calls, type }

The details of the run step.

message_creation_step_details: object { message_creation, type }

Details of the message creation by the run step.

message_creation: object { message_id }
message_id: string

The ID of the message that was created by this run step.

type: "message_creation"

Always message_creation.

tool_calls_step_details: object { tool_calls, type }

Details of the tool call.

tool_calls: array of ToolCall

An array of tool calls the run step was involved in. These can be associated with one of three types of tools: code_interpreter, file_search, or function.

code_interpreter_tool_call: object { id, code_interpreter, type }

Details of the Code Interpreter tool call the run step was involved in.

id: string

The ID of the tool call.

code_interpreter: object { input, outputs }

The Code Interpreter tool call definition.

input: string

The input to the Code Interpreter tool call.

outputs: array of object { logs, type } or object { image, type }

The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (logs) or images (image). Each of these are represented by a different object type.

logs: object { logs, type }

Text output from the Code Interpreter tool call as part of a run step.

logs: string

The text output from the Code Interpreter tool call.

type: "logs"

Always logs.

image: object { image, type }
image: object { file_id }
file_id: string

The file ID of the image.

type: "image"

Always image.

type: "code_interpreter"

The type of tool call. This is always going to be code_interpreter for this type of tool call.

file_search_tool_call: object { id, file_search, type }
id: string

The ID of the tool call object.

content: optional array of object { text, type }

The content of the result that was found. The content is only included if requested via the include query parameter.

text: optional string

The text content of the file.

type: optional "text"

The type of the content.

"text"
type: "file_search"

The type of tool call. This is always going to be file_search for this type of tool call.

function_tool_call: object { id, function, type }
id: string

The ID of the tool call object.

function: object { arguments, name, output }

The definition of the function that was called.

arguments: string

The arguments passed to the function.

name: string

The name of the function.

output: string

The output of the function. This will be null if the outputs have not been submitted yet.

type: "function"

The type of tool call. This is always going to be function for this type of tool call.

type: "tool_calls"

Always tool_calls.

thread_id: string

The ID of the thread that was run.

type: "message_creation" or "tool_calls"

The type of run step, which can be either message_creation or tool_calls.

"message_creation"
"tool_calls"
usage: object { completion_tokens, prompt_tokens, total_tokens }

Usage statistics related to the run step. This value will be null while the run step’s status is in_progress.

completion_tokens: number

Number of completion tokens used over the course of the run step.

prompt_tokens: number

Number of prompt tokens used over the course of the run step.

total_tokens: number

Total number of tokens used (prompt + completion).

run_step_delta: object { step_details }

The delta containing the fields that have changed on the run step.

step_details: optional RunStepDeltaMessageDelta { type, message_creation } or ToolCallDeltaObject { type, tool_calls }

The details of the run step.

run_step_delta_message_delta: object { type, message_creation }

Details of the message creation by the run step.

type: "message_creation"

Always message_creation.

message_creation: optional object { message_id }
message_id: optional string

The ID of the message that was created by this run step.

tool_call_delta_object: object { type, tool_calls }

Details of the tool call.

type: "tool_calls"

Always tool_calls.

tool_calls: optional array of ToolCallDelta

An array of tool calls the run step was involved in. These can be associated with one of three types of tools: code_interpreter, file_search, or function.

code_interpreter_tool_call_delta: object { index, type, id, code_interpreter }

Details of the Code Interpreter tool call the run step was involved in.

index: number

The index of the tool call in the tool calls array.

type: "code_interpreter"

The type of tool call. This is always going to be code_interpreter for this type of tool call.

id: optional string

The ID of the tool call.

code_interpreter: optional object { input, outputs }

The Code Interpreter tool call definition.

input: optional string

The input to the Code Interpreter tool call.

outputs: optional array of CodeInterpreterLogs { index, type, logs } or CodeInterpreterOutputImage { index, type, image }

The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (logs) or images (image). Each of these are represented by a different object type.

code_interpreter_logs: object { index, type, logs }

Text output from the Code Interpreter tool call as part of a run step.

index: number

The index of the output in the outputs array.

type: "logs"

Always logs.

logs: optional string

The text output from the Code Interpreter tool call.

code_interpreter_output_image: object { index, type, image }
index: number

The index of the output in the outputs array.

type: "image"

Always image.

image: optional object { file_id }
file_id: optional string

The file ID of the image.

file_search_tool_call_delta: object { file_search, index, type, id }
index: number

The index of the tool call in the tool calls array.

type: "file_search"

The type of tool call. This is always going to be file_search for this type of tool call.

id: optional string

The ID of the tool call object.

function_tool_call_delta: object { index, type, id, function }
index: number

The index of the tool call in the tool calls array.

type: "function"

The type of tool call. This is always going to be function for this type of tool call.

id: optional string

The ID of the tool call object.

function: optional object { arguments, name, output }

The definition of the function that was called.

arguments: optional string

The arguments passed to the function.

name: optional string

The name of the function.

output: optional string

The output of the function. This will be null if the outputs have not been submitted yet.

run_step_delta_event: object { id, delta, object }

Represents a run step delta i.e. any changed fields on a run step during streaming.

id: string

The identifier of the run step, which can be referenced in API endpoints.

delta: object { step_details }

The delta containing the fields that have changed on the run step.

step_details: optional RunStepDeltaMessageDelta { type, message_creation } or ToolCallDeltaObject { type, tool_calls }

The details of the run step.

run_step_delta_message_delta: object { type, message_creation }

Details of the message creation by the run step.

type: "message_creation"

Always message_creation.

message_creation: optional object { message_id }
message_id: optional string

The ID of the message that was created by this run step.

tool_call_delta_object: object { type, tool_calls }

Details of the tool call.

type: "tool_calls"

Always tool_calls.

tool_calls: optional array of ToolCallDelta

An array of tool calls the run step was involved in. These can be associated with one of three types of tools: code_interpreter, file_search, or function.

code_interpreter_tool_call_delta: object { index, type, id, code_interpreter }

Details of the Code Interpreter tool call the run step was involved in.

index: number

The index of the tool call in the tool calls array.

type: "code_interpreter"

The type of tool call. This is always going to be code_interpreter for this type of tool call.

id: optional string

The ID of the tool call.

code_interpreter: optional object { input, outputs }

The Code Interpreter tool call definition.

input: optional string

The input to the Code Interpreter tool call.

outputs: optional array of CodeInterpreterLogs { index, type, logs } or CodeInterpreterOutputImage { index, type, image }

The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (logs) or images (image). Each of these are represented by a different object type.

code_interpreter_logs: object { index, type, logs }

Text output from the Code Interpreter tool call as part of a run step.

index: number

The index of the output in the outputs array.

type: "logs"

Always logs.

logs: optional string

The text output from the Code Interpreter tool call.

code_interpreter_output_image: object { index, type, image }
index: number

The index of the output in the outputs array.

type: "image"

Always image.

image: optional object { file_id }
file_id: optional string

The file ID of the image.

file_search_tool_call_delta: object { file_search, index, type, id }
index: number

The index of the tool call in the tool calls array.

type: "file_search"

The type of tool call. This is always going to be file_search for this type of tool call.

id: optional string

The ID of the tool call object.

function_tool_call_delta: object { index, type, id, function }
index: number

The index of the tool call in the tool calls array.

type: "function"

The type of tool call. This is always going to be function for this type of tool call.

id: optional string

The ID of the tool call object.

function: optional object { arguments, name, output }

The definition of the function that was called.

arguments: optional string

The arguments passed to the function.

name: optional string

The name of the function.

output: optional string

The output of the function. This will be null if the outputs have not been submitted yet.

object: "thread.run.step.delta"

The object type, which is always thread.run.step.delta.

run_step_delta_message_delta: object { type, message_creation }

Details of the message creation by the run step.

type: "message_creation"

Always message_creation.

message_creation: optional object { message_id }
message_id: optional string

The ID of the message that was created by this run step.

run_step_include: "step_details.tool_calls[*].file_search.results[*].content"
"step_details.tool_calls[*].file_search.results[*].content"
tool_call: CodeInterpreterToolCall { id, code_interpreter, type } or FileSearchToolCall { id, file_search, type } or FunctionToolCall { id, function, type }

Details of the Code Interpreter tool call the run step was involved in.

code_interpreter_tool_call: object { id, code_interpreter, type }

Details of the Code Interpreter tool call the run step was involved in.

id: string

The ID of the tool call.

code_interpreter: object { input, outputs }

The Code Interpreter tool call definition.

input: string

The input to the Code Interpreter tool call.

outputs: array of object { logs, type } or object { image, type }

The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (logs) or images (image). Each of these are represented by a different object type.

logs: object { logs, type }

Text output from the Code Interpreter tool call as part of a run step.

logs: string

The text output from the Code Interpreter tool call.

type: "logs"

Always logs.

image: object { image, type }
image: object { file_id }
file_id: string

The file ID of the image.

type: "image"

Always image.

type: "code_interpreter"

The type of tool call. This is always going to be code_interpreter for this type of tool call.

file_search_tool_call: object { id, file_search, type }
id: string

The ID of the tool call object.

content: optional array of object { text, type }

The content of the result that was found. The content is only included if requested via the include query parameter.

text: optional string

The text content of the file.

type: optional "text"

The type of the content.

"text"
type: "file_search"

The type of tool call. This is always going to be file_search for this type of tool call.

function_tool_call: object { id, function, type }
id: string

The ID of the tool call object.

function: object { arguments, name, output }

The definition of the function that was called.

arguments: string

The arguments passed to the function.

name: string

The name of the function.

output: string

The output of the function. This will be null if the outputs have not been submitted yet.

type: "function"

The type of tool call. This is always going to be function for this type of tool call.

tool_call_delta: CodeInterpreterToolCallDelta { index, type, id, code_interpreter } or FileSearchToolCallDelta { file_search, index, type, id } or FunctionToolCallDelta { index, type, id, function }

Details of the Code Interpreter tool call the run step was involved in.

code_interpreter_tool_call_delta: object { index, type, id, code_interpreter }

Details of the Code Interpreter tool call the run step was involved in.

index: number

The index of the tool call in the tool calls array.

type: "code_interpreter"

The type of tool call. This is always going to be code_interpreter for this type of tool call.

id: optional string

The ID of the tool call.

code_interpreter: optional object { input, outputs }

The Code Interpreter tool call definition.

input: optional string

The input to the Code Interpreter tool call.

outputs: optional array of CodeInterpreterLogs { index, type, logs } or CodeInterpreterOutputImage { index, type, image }

The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (logs) or images (image). Each of these are represented by a different object type.

code_interpreter_logs: object { index, type, logs }

Text output from the Code Interpreter tool call as part of a run step.

index: number

The index of the output in the outputs array.

type: "logs"

Always logs.

logs: optional string

The text output from the Code Interpreter tool call.

code_interpreter_output_image: object { index, type, image }
index: number

The index of the output in the outputs array.

type: "image"

Always image.

image: optional object { file_id }
file_id: optional string

The file ID of the image.

file_search_tool_call_delta: object { file_search, index, type, id }
index: number

The index of the tool call in the tool calls array.

type: "file_search"

The type of tool call. This is always going to be file_search for this type of tool call.

id: optional string

The ID of the tool call object.

function_tool_call_delta: object { index, type, id, function }
index: number

The index of the tool call in the tool calls array.

type: "function"

The type of tool call. This is always going to be function for this type of tool call.

id: optional string

The ID of the tool call object.

function: optional object { arguments, name, output }

The definition of the function that was called.

arguments: optional string

The arguments passed to the function.

name: optional string

The name of the function.

output: optional string

The output of the function. This will be null if the outputs have not been submitted yet.

tool_call_delta_object: object { type, tool_calls }

Details of the tool call.

type: "tool_calls"

Always tool_calls.

tool_calls: optional array of ToolCallDelta

An array of tool calls the run step was involved in. These can be associated with one of three types of tools: code_interpreter, file_search, or function.

code_interpreter_tool_call_delta: object { index, type, id, code_interpreter }

Details of the Code Interpreter tool call the run step was involved in.

index: number

The index of the tool call in the tool calls array.

type: "code_interpreter"

The type of tool call. This is always going to be code_interpreter for this type of tool call.

id: optional string

The ID of the tool call.

code_interpreter: optional object { input, outputs }

The Code Interpreter tool call definition.

input: optional string

The input to the Code Interpreter tool call.

outputs: optional array of CodeInterpreterLogs { index, type, logs } or CodeInterpreterOutputImage { index, type, image }

The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (logs) or images (image). Each of these are represented by a different object type.

code_interpreter_logs: object { index, type, logs }

Text output from the Code Interpreter tool call as part of a run step.

index: number

The index of the output in the outputs array.

type: "logs"

Always logs.

logs: optional string

The text output from the Code Interpreter tool call.

code_interpreter_output_image: object { index, type, image }
index: number

The index of the output in the outputs array.

type: "image"

Always image.

image: optional object { file_id }
file_id: optional string

The file ID of the image.

file_search_tool_call_delta: object { file_search, index, type, id }
index: number

The index of the tool call in the tool calls array.

type: "file_search"

The type of tool call. This is always going to be file_search for this type of tool call.

id: optional string

The ID of the tool call object.

function_tool_call_delta: object { index, type, id, function }
index: number

The index of the tool call in the tool calls array.

type: "function"

The type of tool call. This is always going to be function for this type of tool call.

id: optional string

The ID of the tool call object.

function: optional object { arguments, name, output }

The definition of the function that was called.

arguments: optional string

The arguments passed to the function.

name: optional string

The name of the function.

output: optional string

The output of the function. This will be null if the outputs have not been submitted yet.

tool_calls_step_details: object { tool_calls, type }

Details of the tool call.

tool_calls: array of ToolCall

An array of tool calls the run step was involved in. These can be associated with one of three types of tools: code_interpreter, file_search, or function.

code_interpreter_tool_call: object { id, code_interpreter, type }

Details of the Code Interpreter tool call the run step was involved in.

id: string

The ID of the tool call.

code_interpreter: object { input, outputs }

The Code Interpreter tool call definition.

input: string

The input to the Code Interpreter tool call.

outputs: array of object { logs, type } or object { image, type }

The outputs from the Code Interpreter tool call. Code Interpreter can output one or more items, including text (logs) or images (image). Each of these are represented by a different object type.

logs: object { logs, type }

Text output from the Code Interpreter tool call as part of a run step.

logs: string

The text output from the Code Interpreter tool call.

type: "logs"

Always logs.

image: object { image, type }
image: object { file_id }
file_id: string

The file ID of the image.

type: "image"

Always image.

type: "code_interpreter"

The type of tool call. This is always going to be code_interpreter for this type of tool call.

file_search_tool_call: object { id, file_search, type }
id: string

The ID of the tool call object.

content: optional array of object { text, type }

The content of the result that was found. The content is only included if requested via the include query parameter.

text: optional string

The text content of the file.

type: optional "text"

The type of the content.

"text"
type: "file_search"

The type of tool call. This is always going to be file_search for this type of tool call.

function_tool_call: object { id, function, type }
id: string

The ID of the tool call object.

function: object { arguments, name, output }

The definition of the function that was called.

arguments: string

The arguments passed to the function.

name: string

The name of the function.

output: string

The output of the function. This will be null if the outputs have not been submitted yet.

type: "function"

The type of tool call. This is always going to be function for this type of tool call.

type: "tool_calls"

Always tool_calls.