Class: OpenAI::Models::Responses::ResponseTextDoneEvent::Logprob

Inherits:
Internal::Type::BaseModel show all
Defined in:
lib/openai/models/responses/response_text_done_event.rb,
sig/openai/models/responses/response_text_done_event.rbs

Defined Under Namespace

Classes: TopLogprob

Instance Attribute Summary collapse

Attributes inherited from Internal::Type::BaseModel

#last_response

Instance Method Summary collapse

Methods inherited from Internal::Type::BaseModel

==, #==, #[], #_request_id, #_set_last_response, coerce, #deconstruct_keys, #deep_to_h, dump, #encode_with, 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, coerce_with_error, 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(content_index:, item_id:, logprobs:, output_index:, sequence_number:, text:, type: :"response.output_text.done") ⇒ Object

Parameters:

  • token —

    A possible text token.

  • logprob —

    The log probability of this token.

  • top_logprobs —

    The log probabilities of up to 20 of the most likely tokens.



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# File 'lib/openai/models/responses/response_text_done_event.rb', line 75

class Logprob < OpenAI::Internal::Type::BaseModel
  # @!attribute token
  #   A possible text token.
  #
  #   @return [String]
  required :token, String

  # @!attribute logprob
  #   The log probability of this token.
  #
  #   @return [Float]
  required :logprob, Float

  # @!attribute top_logprobs
  #   The log probabilities of up to 20 of the most likely tokens.
  #
  #   @return [Array<OpenAI::Models::Responses::ResponseTextDoneEvent::Logprob::TopLogprob>, nil]
  optional(
    :top_logprobs,
    -> { OpenAI::Internal::Type::ArrayOf[OpenAI::Responses::ResponseTextDoneEvent::Logprob::TopLogprob] }
  )

  # @!method initialize(token:, logprob:, top_logprobs: nil)
  #   A logprob is the logarithmic probability that the model assigns to producing a
  #   particular token at a given position in the sequence. Less-negative (higher)
  #   logprob values indicate greater model confidence in that token choice.
  #
  #   @param token [String]
  #     A possible text token.
  #
  #   @param logprob [Float]
  #     The log probability of this token.
  #
  #   @param top_logprobs [Array<OpenAI::Models::Responses::ResponseTextDoneEvent::Logprob::TopLogprob>]
  #     The log probabilities of up to 20 of the most likely tokens.
  class TopLogprob < OpenAI::Internal::Type::BaseModel
    # @!attribute token
    #   A possible text token.
    #
    #   @return [String, nil]
    optional :token, String

    # @!attribute logprob
    #   The log probability of this token.
    #
    #   @return [Float, nil]
    optional :logprob, Float

    # @!method initialize(token: nil, logprob: nil)
    #   @param token [String]
    #     A possible text token.
    #
    #   @param logprob [Float]
    #     The log probability of this token.
  end
end

Instance Attribute Details

#logprob ⇒ Float

The log probability of this token.

Returns:

  • (Float) 


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# File 'lib/openai/models/responses/response_text_done_event.rb', line 86

required :logprob, Float

#token ⇒ String

A possible text token.

Returns:

  • (String) 


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# File 'lib/openai/models/responses/response_text_done_event.rb', line 80

required :token, String

#top_logprobs ⇒ ::Array[OpenAI::Responses::ResponseTextDoneEvent::Logprob::TopLogprob]?

The log probabilities of up to 20 of the most likely tokens.

Returns:

  • (::Array[OpenAI::Responses::ResponseTextDoneEvent::Logprob::TopLogprob], nil) 


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# File 'lib/openai/models/responses/response_text_done_event.rb', line 92

optional(
  :top_logprobs,
  -> { OpenAI::Internal::Type::ArrayOf[OpenAI::Responses::ResponseTextDoneEvent::Logprob::TopLogprob] }
)

Instance Method Details

#to_hash ⇒ {

Returns:

  • ({) 


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# File 'sig/openai/models/responses/response_text_done_event.rbs', line 105

def to_hash: -> {