Module: OpenAI::Models::EvalCreateParams::DataSourceConfig

Extended by:

Internal::Type::Union

Defined in:

lib/openai/models/eval_create_params.rb,
sig/openai/models/eval_create_params.rbs

Overview

The configuration for the data source used for the evaluation runs. Dictates the schema of the data used in the evaluation.

Defined Under Namespace

Classes: Custom, Logs, StoredCompletions

Instance Method Summary

• #initialize(metadata: nil, type: :logs) ⇒ Object

  A data source config which specifies the metadata property of your logs query.

• #self?.variants ⇒ ::Array[OpenAI::Models::EvalCreateParams::data_source_config]

Methods included from Internal::Type::Union

==, ===, coerce, derefed_variants, dump, hash, inspect, to_sorbet_type, variants, variants

Methods included from Internal::Util::SorbetRuntimeSupport

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

Methods included from Internal::Type::Converter

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

Instance Method Details

#initialize(metadata: nil, type: :logs) ⇒ Object

A data source config which specifies the metadata property of your logs query. This is usually metadata like usecase=chatbot or prompt-version=v2, etc.

Parameters:

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

  Metadata filters for the logs data source.

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

  The type of data source. Always logs.

# File 'lib/openai/models/eval_create_params.rb', line 98

#self?.variants ⇒ ::Array[OpenAI::Models::EvalCreateParams::data_source_config]

Returns:

• (::Array[OpenAI::Models::EvalCreateParams::data_source_config])

# File 'sig/openai/models/eval_create_params.rbs', line 114

def self?.variants: -> ::Array[OpenAI::Models::EvalCreateParams::data_source_config]