Class: OpenAI::Models::EvalListResponse

Inherits:
Internal::Type::BaseModel show all
Defined in:
lib/openai/models/eval_list_response.rb

Overview

See Also:

Defined Under Namespace

Modules: DataSourceConfig, TestingCriterion

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

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, 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(schema: , metadata: nil, type: :logs) ⇒ Object

Some parameter documentations has been truncated, see OpenAI::Models::EvalListResponse::DataSourceConfig::Logs for more details.

A LogsDataSourceConfig which specifies the metadata property of your logs query. This is usually metadata like ‘usecase=chatbot` or `prompt-version=v2`, etc. The schema returned by this data source config is used to defined what variables are available in your evals. `item` and `sample` are both defined when using this data source config.

Parameters:

  • schema (Hash{Symbol=>Object}) (defaults to: ) —

    The json schema for the run data source items.

  • metadata (Hash{Symbol=>String}, nil) (defaults to: nil) —

    Set of 16 key-value pairs that can be attached to an object. This can be

  • type (Symbol, :logs) (defaults to: :logs) —

    The type of data source. Always ‘logs`.




# File 'lib/openai/models/eval_list_response.rb', line 55

Instance Attribute Details

#created_at ⇒ Integer

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

Returns:

  • (Integer) 


17
 
# File 'lib/openai/models/eval_list_response.rb', line 17

required :created_at, Integer

#data_source_config ⇒ OpenAI::Models::EvalCustomDataSourceConfig, ...

Configuration of data sources used in runs of the evaluation.

Returns:



23
 
# File 'lib/openai/models/eval_list_response.rb', line 23

required :data_source_config, union: -> { OpenAI::Models::EvalListResponse::DataSourceConfig }

#id ⇒ String

Unique identifier for the evaluation.

Returns:

  • (String) 


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# File 'lib/openai/models/eval_list_response.rb', line 11

required :id, String

#metadata ⇒ Hash{Symbol=>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.

Returns:

  • (Hash{Symbol=>String}, nil) 


34
 
# File 'lib/openai/models/eval_list_response.rb', line 34

required :metadata, OpenAI::Internal::Type::HashOf[String], nil?: true

#name ⇒ String

The name of the evaluation.

Returns:

  • (String) 


40
 
# File 'lib/openai/models/eval_list_response.rb', line 40

required :name, String

#object ⇒ Symbol, :eval

The object type.

Returns:

  • (Symbol, :eval) 


46
 
# File 'lib/openai/models/eval_list_response.rb', line 46

required :object, const: :eval

#testing_criteria ⇒ Array<OpenAI::Models::Graders::LabelModelGrader, OpenAI::Models::Graders::StringCheckGrader, OpenAI::Models::EvalListResponse::TestingCriterion::EvalGraderTextSimilarity, OpenAI::Models::EvalListResponse::TestingCriterion::EvalGraderPython, OpenAI::Models::EvalListResponse::TestingCriterion::EvalGraderScoreModel>

A list of testing criteria.

Returns:



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# File 'lib/openai/models/eval_list_response.rb', line 52

required :testing_criteria,
-> { OpenAI::Internal::Type::ArrayOf[union: OpenAI::Models::EvalListResponse::TestingCriterion] }