Class: OpenAI::Models::Beta::BetaResponseTextDoneEvent::Logprob

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

Defined Under Namespace

Classes: TopLogprob

Instance Attribute 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, 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:, agent: nil, type: :"response.output_text.done") ⇒ Object

Some parameter documentations has been truncated, see OpenAI::Models::Beta::BetaResponseTextDoneEvent for more details.

Emitted when text content is finalized.

Parameters:

  • content_index (Integer) —

    The index of the content part that the text content is finalized.

  • item_id (String) —

    The ID of the output item that the text content is finalized.

  • logprobs (Array<OpenAI::Models::Beta::BetaResponseTextDoneEvent::Logprob>) —

    The log probabilities of the tokens in the delta.

  • output_index (Integer) —

    The index of the output item that the text content is finalized.

  • sequence_number (Integer) —

    The sequence number for this event.

  • text (String) —

    The text content that is finalized.

  • agent (OpenAI::Models::Beta::BetaResponseTextDoneEvent::Agent, nil) (defaults to: nil) —

    The agent that owns this multi-agent streaming event.

  • type (Symbol, :"response.output_text.done") (defaults to: :"response.output_text.done") —

    The type of the event. Always response.output_text.done.



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# File 'lib/openai/models/beta/beta_response_text_done_event.rb', line 78

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::Beta::BetaResponseTextDoneEvent::Logprob::TopLogprob>, nil]
  optional :top_logprobs,
           -> { OpenAI::Internal::Type::ArrayOf[OpenAI::Beta::BetaResponseTextDoneEvent::Logprob::TopLogprob] }

  # @!method initialize(token:, logprob:, top_logprobs: nil)
  #   Some parameter documentations has been truncated, see
  #   {OpenAI::Models::Beta::BetaResponseTextDoneEvent::Logprob} for more details.
  #
  #   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::Beta::BetaResponseTextDoneEvent::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.

Parameters:

  • value (Float)

Returns:

  • (Float) 


89
 
# File 'lib/openai/models/beta/beta_response_text_done_event.rb', line 89

required :logprob, Float

#token ⇒ String

A possible text token.

Parameters:

  • value (String)

Returns:

  • (String) 


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# File 'lib/openai/models/beta/beta_response_text_done_event.rb', line 83

required :token, String

#top_logprobs ⇒ Array<OpenAI::Models::Beta::BetaResponseTextDoneEvent::Logprob::TopLogprob>?

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

Returns:



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# File 'lib/openai/models/beta/beta_response_text_done_event.rb', line 95

optional :top_logprobs,
-> { OpenAI::Internal::Type::ArrayOf[OpenAI::Beta::BetaResponseTextDoneEvent::Logprob::TopLogprob] }

Instance Method Details

#to_hash ⇒ {

Returns:

  • ({) 


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# File 'sig/openai/models/beta/beta_response_text_done_event.rbs', line 81

def to_hash: -> {