Class: OpenAI::Models::Evals::RunCreateParams::DataSource::CreateEvalResponsesRunDataSource::Source::Responses

Inherits:

Internal::Type::BaseModel

• Object
• Internal::Type::BaseModel
• OpenAI::Models::Evals::RunCreateParams::DataSource::CreateEvalResponsesRunDataSource::Source::Responses

Defined in:

lib/openai/models/evals/run_create_params.rb,
sig/openai/models/evals/run_create_params.rbs

Instance Attribute Summary

• #created_after ⇒ Integer^?

  Only include items created after this timestamp (inclusive).

• #created_before ⇒ Integer^?

  Only include items created before this timestamp (inclusive).

• #instructions_search ⇒ String^?

  Optional string to search the 'instructions' field.

• #metadata ⇒ Object^?

  Metadata filter for the responses.

• #model ⇒ String^?

  The name of the model to find responses for.

• #reasoning_effort ⇒ Symbol, ...

  Constrains effort on reasoning for reasoning models.

• #temperature ⇒ Float^?

  Sampling temperature.

• #tools ⇒ Array<String>^?

  List of tool names.

• #top_p ⇒ Float^?

  Nucleus sampling parameter.

• #type ⇒ Symbol, :responses

  The type of run data source.

• #users ⇒ Array<String>^?

  List of user identifiers.

Instance Method Summary

• #initialize ⇒ Object constructor
• #to_hash ⇒ {

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, meta_info, new_coerce_state, type_info

Methods included from Internal::Util::SorbetRuntimeSupport

#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type

Constructor Details

#initialize ⇒ Object

# File 'sig/openai/models/evals/run_create_params.rbs', line 198

def initialize: (

Instance Attribute Details

#created_after ⇒ Integer^?

Only include items created after this timestamp (inclusive). This is a query parameter used to select responses.

Parameters:

• value (Integer, nil)

Returns:

• (Integer, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 205

optional :created_after, Integer, nil?: true

#created_before ⇒ Integer^?

Only include items created before this timestamp (inclusive). This is a query parameter used to select responses.

Parameters:

• value (Integer, nil)

Returns:

• (Integer, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 212

optional :created_before, Integer, nil?: true

#instructions_search ⇒ String^?

Optional string to search the 'instructions' field. This is a query parameter used to select responses.

Parameters:

• value (String, nil)

Returns:

• (String, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 219

optional :instructions_search, String, nil?: true

#metadata ⇒ Object^?

Metadata filter for the responses. This is a query parameter used to select responses.

Parameters:

• value (top, nil)

Returns:

• (Object, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 226

optional :metadata, OpenAI::Internal::Type::Unknown, nil?: true

#model ⇒ String^?

The name of the model to find responses for. This is a query parameter used to select responses.

Parameters:

• value (String, nil)

Returns:

• (String, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 233

optional :model, String, nil?: true

#reasoning_effort ⇒ Symbol, ...

Constrains effort on reasoning for reasoning models. Currently supported values are none, minimal, low, medium, high, xhigh, and max. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. Not all reasoning models support every value. See the reasoning guide for model-specific support.

Parameters:

• value (OpenAI::Models::reasoning_effort, nil)

Returns:

• (Symbol, OpenAI::Models::ReasoningEffort, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 244

optional :reasoning_effort, enum: -> { OpenAI::ReasoningEffort }, nil?: true

#temperature ⇒ Float^?

Sampling temperature. This is a query parameter used to select responses.

Parameters:

• value (Float, nil)

Returns:

• (Float, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 250

optional :temperature, Float, nil?: true

#tools ⇒ Array<String>^?

List of tool names. This is a query parameter used to select responses.

Parameters:

• value (::Array[String], nil)

Returns:

• (Array<String>, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 256

optional :tools, OpenAI::Internal::Type::ArrayOf[String], nil?: true

#top_p ⇒ Float^?

Nucleus sampling parameter. This is a query parameter used to select responses.

Parameters:

• value (Float, nil)

Returns:

• (Float, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 262

optional :top_p, Float, nil?: true

#type ⇒ Symbol, :responses

The type of run data source. Always responses.

Parameters:

• value (:responses)

Returns:

• (Symbol, :responses)

# File 'lib/openai/models/evals/run_create_params.rb', line 198

required :type, const: :responses

#users ⇒ Array<String>^?

List of user identifiers. This is a query parameter used to select responses.

Parameters:

• value (::Array[String], nil)

Returns:

• (Array<String>, nil)

# File 'lib/openai/models/evals/run_create_params.rb', line 268

optional :users, OpenAI::Internal::Type::ArrayOf[String], nil?: true

Instance Method Details

#to_hash ⇒ {

Returns:

• ({)

# File 'sig/openai/models/evals/run_create_params.rbs', line 212

def to_hash: -> {