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API Reference
Evals

Runs

Get eval runs
evals.runs.list(eval_id, **kwargs) -> CursorPage<RunListResponse { id, created_at, data_source, 11 more } >
GET/evals/{eval_id}/runs
Create eval run
evals.runs.create(eval_id, **kwargs) -> RunCreateResponse { id, created_at, data_source, 11 more }
POST/evals/{eval_id}/runs
Get an eval run
evals.runs.retrieve(run_id, **kwargs) -> RunRetrieveResponse { id, created_at, data_source, 11 more }
GET/evals/{eval_id}/runs/{run_id}
Cancel eval run
evals.runs.cancel(run_id, **kwargs) -> RunCancelResponse { id, created_at, data_source, 11 more }
POST/evals/{eval_id}/runs/{run_id}
Delete eval run
evals.runs.delete(run_id, **kwargs) -> RunDeleteResponse { deleted, object, run_id }
DELETE/evals/{eval_id}/runs/{run_id}
ModelsExpand Collapse
class CreateEvalCompletionsRunDataSource { source, type, input_messages, 2 more }

A CompletionsRunDataSource object describing a model sampling configuration.

source: { content, type} | { id, type} | { type, created_after, created_before, 3 more}

Determines what populates the item namespace in this run's data source.

Accepts one of the following:
class FileContent { content, type }
content: Array[{ item, sample}]

The content of the jsonl file.

item: Hash[Symbol, untyped]
sample: Hash[Symbol, untyped]
type: :file_content

The type of jsonl source. Always file_content.

class FileID { id, type }
id: String

The identifier of the file.

type: :file_id

The type of jsonl source. Always file_id.

class StoredCompletions { type, created_after, created_before, 3 more }

A StoredCompletionsRunDataSource configuration describing a set of filters

type: :stored_completions

The type of source. Always stored_completions.

created_after: Integer

An optional Unix timestamp to filter items created after this time.

created_before: Integer

An optional Unix timestamp to filter items created before this time.

limit: Integer

An optional maximum number of items to return.

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

An optional model to filter by (e.g., 'gpt-4o').

type: :completions

The type of run data source. Always completions.

input_messages: { template, type} | { item_reference, type}

Used when sampling from a model. Dictates the structure of the messages passed into the model. Can either be a reference to a prebuilt trajectory (ie, item.input_trajectory), or a template with variable references to the item namespace.

Accepts one of the following:
class Template { template, type }
template: Array[EasyInputMessage { content, role, type } | { content, role, type}]

A list of chat messages forming the prompt or context. May include variable references to the item namespace, ie {{item.name}}.

Accepts one of the following:
class EasyInputMessage { content, role, type }

A message input to the model with a role indicating instruction following hierarchy. Instructions given with the developer or system role take precedence over instructions given with the user role. Messages with the assistant role are presumed to have been generated by the model in previous interactions.

content: String | ResponseInputMessageContentList { , , }

Text, image, or audio input to the model, used to generate a response. Can also contain previous assistant responses.

Accepts one of the following:
String

A text input to the model.

Array[ResponseInputContent]

A list of one or many input items to the model, containing different content types.

Accepts one of the following:
class ResponseInputText { text, type }

A text input to the model.

text: String

The text input to the model.

type: :input_text

The type of the input item. Always input_text.

class ResponseInputImage { detail, type, file_id, image_url }

An image input to the model. Learn about image inputs.

detail: :low | :high | :auto

The detail level of the image to be sent to the model. One of high, low, or auto. Defaults to auto.

Accepts one of the following:
:low
:high
:auto
type: :input_image

The type of the input item. Always input_image.

file_id: String

The ID of the file to be sent to the model.

image_url: String

The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.

class ResponseInputFile { type, file_data, file_id, 2 more }

A file input to the model.

type: :input_file

The type of the input item. Always input_file.

file_data: String

The content of the file to be sent to the model.

file_id: String

The ID of the file to be sent to the model.

file_url: String

The URL of the file to be sent to the model.

filename: String

The name of the file to be sent to the model.

role: :user | :assistant | :system | :developer

The role of the message input. One of user, assistant, system, or developer.

Accepts one of the following:
:user
:assistant
:system
:developer
type: :message

The type of the message input. Always message.

class EvalItem { content, role, type }

A message input to the model with a role indicating instruction following hierarchy. Instructions given with the developer or system role take precedence over instructions given with the user role. Messages with the assistant role are presumed to have been generated by the model in previous interactions.

content: String | ResponseInputText { text, type } | { text, type} | 3 more

Inputs to the model - can contain template strings. Supports text, output text, input images, and input audio, either as a single item or an array of items.

Accepts one of the following:
String

A text input to the model.

class ResponseInputText { text, type }

A text input to the model.

text: String

The text input to the model.

type: :input_text

The type of the input item. Always input_text.

class OutputText { text, type }

A text output from the model.

text: String

The text output from the model.

type: :output_text

The type of the output text. Always output_text.

class InputImage { image_url, type, detail }

An image input block used within EvalItem content arrays.

image_url: String

The URL of the image input.

type: :input_image

The type of the image input. Always input_image.

detail: String

The detail level of the image to be sent to the model. One of high, low, or auto. Defaults to auto.

class ResponseInputAudio { input_audio, type }

An audio input to the model.

input_audio: { data, format_}
data: String

Base64-encoded audio data.

format_: :mp3 | :wav

The format of the audio data. Currently supported formats are mp3 and wav.

Accepts one of the following:
:mp3
:wav
type: :input_audio

The type of the input item. Always input_audio.

Array[GraderInputItem]

A list of inputs, each of which may be either an input text, output text, input image, or input audio object.

Accepts one of the following:
String

A text input to the model.

class ResponseInputText { text, type }

A text input to the model.

text: String

The text input to the model.

type: :input_text

The type of the input item. Always input_text.

class OutputText { text, type }

A text output from the model.

text: String

The text output from the model.

type: :output_text

The type of the output text. Always output_text.

class InputImage { image_url, type, detail }

An image input block used within EvalItem content arrays.

image_url: String

The URL of the image input.

type: :input_image

The type of the image input. Always input_image.

detail: String

The detail level of the image to be sent to the model. One of high, low, or auto. Defaults to auto.

class ResponseInputAudio { input_audio, type }

An audio input to the model.

input_audio: { data, format_}
data: String

Base64-encoded audio data.

format_: :mp3 | :wav

The format of the audio data. Currently supported formats are mp3 and wav.

Accepts one of the following:
:mp3
:wav
type: :input_audio

The type of the input item. Always input_audio.

role: :user | :assistant | :system | :developer

The role of the message input. One of user, assistant, system, or developer.

Accepts one of the following:
:user
:assistant
:system
:developer
type: :message

The type of the message input. Always message.

type: :template

The type of input messages. Always template.

class ItemReference { item_reference, type }
item_reference: String

A reference to a variable in the item namespace. Ie, "item.input_trajectory"

type: :item_reference

The type of input messages. Always item_reference.

model: String

The name of the model to use for generating completions (e.g. "o3-mini").

sampling_params: { max_completion_tokens, reasoning_effort, response_format, 4 more}
max_completion_tokens: Integer

The maximum number of tokens in the generated output.

reasoning_effort: ReasoningEffort

Constrains effort on reasoning for reasoning models. Currently supported values are none, minimal, low, medium, high, and xhigh. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response.

  • gpt-5.1 defaults to none, which does not perform reasoning. The supported reasoning values for gpt-5.1 are none, low, medium, and high. Tool calls are supported for all reasoning values in gpt-5.1.
  • All models before gpt-5.1 default to medium reasoning effort, and do not support none.
  • The gpt-5-pro model defaults to (and only supports) high reasoning effort.
  • xhigh is supported for all models after gpt-5.1-codex-max.
response_format: ResponseFormatText { type } | ResponseFormatJSONSchema { json_schema, type } | ResponseFormatJSONObject { type }

An object specifying the format that the model must output.

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 the older JSON mode, which ensures the message the model generates is valid JSON. Using json_schema is preferred for models that support it.

Accepts one of the following:
class ResponseFormatText { type }

Default response format. Used to generate text responses.

type: :text

The type of response format being defined. Always text.

class ResponseFormatJSONSchema { json_schema, type }

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

json_schema: { 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: String

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

schema: Hash[Symbol, untyped]

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

strict: bool

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.

class ResponseFormatJSONObject { 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.

seed: Integer

A seed value to initialize the randomness, during sampling.

temperature: Float

A higher temperature increases randomness in the outputs.

tools: Array[ChatCompletionFunctionTool { function, type } ]

A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.

function: FunctionDefinition { name, description, parameters, strict }
type: :function

The type of the tool. Currently, only function is supported.

top_p: Float

An alternative to temperature for nucleus sampling; 1.0 includes all tokens.

class CreateEvalJSONLRunDataSource { source, type }

A JsonlRunDataSource object with that specifies a JSONL file that matches the eval

source: { content, type} | { id, type}

Determines what populates the item namespace in the data source.

Accepts one of the following:
class FileContent { content, type }
content: Array[{ item, sample}]

The content of the jsonl file.

item: Hash[Symbol, untyped]
sample: Hash[Symbol, untyped]
type: :file_content

The type of jsonl source. Always file_content.

class FileID { id, type }
id: String

The identifier of the file.

type: :file_id

The type of jsonl source. Always file_id.

type: :jsonl

The type of data source. Always jsonl.

class EvalAPIError { code, message }

An object representing an error response from the Eval API.

code: String

The error code.

message: String

The error message.

RunsOutput Items

Get eval run output items
evals.runs.output_items.list(run_id, **kwargs) -> CursorPage<OutputItemListResponse { id, created_at, datasource_item, 7 more } >
GET/evals/{eval_id}/runs/{run_id}/output_items
Get an output item of an eval run
evals.runs.output_items.retrieve(output_item_id, **kwargs) -> OutputItemRetrieveResponse { id, created_at, datasource_item, 7 more }
GET/evals/{eval_id}/runs/{run_id}/output_items/{output_item_id}