Class: Vellum::MlModelUsage

Inherits:
Object
  • Object
show all
Defined in:
lib/vellum_ai/types/ml_model_usage.rb

Constant Summary collapse

OMIT = 
Object.new

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(output_token_count: OMIT, input_token_count: OMIT, input_char_count: OMIT, output_char_count: OMIT, compute_nanos: OMIT, cache_creation_input_tokens: OMIT, cache_read_input_tokens: OMIT, additional_properties: nil) ⇒ Vellum::MlModelUsage

Parameters:

  • output_token_count (Integer) (defaults to: OMIT)
  • input_token_count (Integer) (defaults to: OMIT)
  • input_char_count (Integer) (defaults to: OMIT)
  • output_char_count (Integer) (defaults to: OMIT)
  • compute_nanos (Integer) (defaults to: OMIT)
  • cache_creation_input_tokens (Integer) (defaults to: OMIT)
  • cache_read_input_tokens (Integer) (defaults to: OMIT)
  • additional_properties (OpenStruct) (defaults to: nil) —

    Additional properties unmapped to the current class definition



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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 38

def initialize(output_token_count: OMIT, input_token_count: OMIT, input_char_count: OMIT, output_char_count: OMIT, compute_nanos: OMIT, cache_creation_input_tokens: OMIT, cache_read_input_tokens: OMIT, additional_properties: nil)
  @output_token_count = output_token_count if output_token_count != OMIT
  @input_token_count = input_token_count if input_token_count != OMIT
  @input_char_count = input_char_count if input_char_count != OMIT
  @output_char_count = output_char_count if output_char_count != OMIT
  @compute_nanos = compute_nanos if compute_nanos != OMIT
  @cache_creation_input_tokens = cache_creation_input_tokens if cache_creation_input_tokens != OMIT
  @cache_read_input_tokens = cache_read_input_tokens if cache_read_input_tokens != OMIT
  @additional_properties = additional_properties
  @_field_set = { "output_token_count": output_token_count, "input_token_count": input_token_count, "input_char_count": input_char_count, "output_char_count": output_char_count, "compute_nanos": compute_nanos, "cache_creation_input_tokens": cache_creation_input_tokens, "cache_read_input_tokens": cache_read_input_tokens }.reject do | _k, v |
  v == OMIT
end
end

Instance Attribute Details

#additional_properties ⇒ OpenStruct (readonly)

Returns Additional properties unmapped to the current class definition.

Returns:

  • (OpenStruct) —

    Additional properties unmapped to the current class definition



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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 22

def additional_properties
  @additional_properties
end

#cache_creation_input_tokens ⇒ Integer (readonly)

Returns:

  • (Integer) 


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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 18

def cache_creation_input_tokens
  @cache_creation_input_tokens
end

#cache_read_input_tokens ⇒ Integer (readonly)

Returns:

  • (Integer) 


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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 20

def cache_read_input_tokens
  @cache_read_input_tokens
end

#compute_nanos ⇒ Integer (readonly)

Returns:

  • (Integer) 


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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 16

def compute_nanos
  @compute_nanos
end

#input_char_count ⇒ Integer (readonly)

Returns:

  • (Integer) 


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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 12

def input_char_count
  @input_char_count
end

#input_token_count ⇒ Integer (readonly)

Returns:

  • (Integer) 


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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 10

def input_token_count
  @input_token_count
end

#output_char_count ⇒ Integer (readonly)

Returns:

  • (Integer) 


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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 14

def output_char_count
  @output_char_count
end

#output_token_count ⇒ Integer (readonly)

Returns:

  • (Integer) 


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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 8

def output_token_count
  @output_token_count
end

Class Method Details

.from_json(json_object:) ⇒ Vellum::MlModelUsage

Parameters:

  • json_object (String)

Returns:



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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 55

def self.from_json(json_object:)
  struct = JSON.parse(json_object, object_class: OpenStruct)
  parsed_json = JSON.parse(json_object)
  output_token_count = parsed_json["output_token_count"]
  input_token_count = parsed_json["input_token_count"]
  input_char_count = parsed_json["input_char_count"]
  output_char_count = parsed_json["output_char_count"]
  compute_nanos = parsed_json["compute_nanos"]
  cache_creation_input_tokens = parsed_json["cache_creation_input_tokens"]
  cache_read_input_tokens = parsed_json["cache_read_input_tokens"]
  new(
    output_token_count: output_token_count,
    input_token_count: input_token_count,
    input_char_count: input_char_count,
    output_char_count: output_char_count,
    compute_nanos: compute_nanos,
    cache_creation_input_tokens: cache_creation_input_tokens,
    cache_read_input_tokens: cache_read_input_tokens,
    additional_properties: struct
  )
end

.validate_raw(obj:) ⇒ Void

Parameters:

  • obj (Object)

Returns:

  • (Void) 


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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 88

def self.validate_raw(obj:)
  obj.output_token_count&.is_a?(Integer) != false || raise("Passed value for field obj.output_token_count is not the expected type, validation failed.")
  obj.input_token_count&.is_a?(Integer) != false || raise("Passed value for field obj.input_token_count is not the expected type, validation failed.")
  obj.input_char_count&.is_a?(Integer) != false || raise("Passed value for field obj.input_char_count is not the expected type, validation failed.")
  obj.output_char_count&.is_a?(Integer) != false || raise("Passed value for field obj.output_char_count is not the expected type, validation failed.")
  obj.compute_nanos&.is_a?(Integer) != false || raise("Passed value for field obj.compute_nanos is not the expected type, validation failed.")
  obj.cache_creation_input_tokens&.is_a?(Integer) != false || raise("Passed value for field obj.cache_creation_input_tokens is not the expected type, validation failed.")
  obj.cache_read_input_tokens&.is_a?(Integer) != false || raise("Passed value for field obj.cache_read_input_tokens is not the expected type, validation failed.")
end

Instance Method Details

#to_json ⇒ String

Returns:

  • (String) 


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# File 'lib/vellum_ai/types/ml_model_usage.rb', line 79

def to_json
  @_field_set&.to_json
end