Metrics.md

Metrics

Properties

Name	Type	Description	Notes
input_tokens	int		[optional]
output_tokens	int		[optional]
total_tokens	int		[optional]
generation_count	int	Number of attempted generations	[optional]
generation_success_count	int	Number of successful generations	[optional]
generation_error_count	int	Number of generations with errors	[optional]
thumbs_up	int		[optional]
thumbs_down	int		[optional]
duration_ms	int		[optional]
time_to_first_token_ms	int		[optional]
satisfaction_rating	float	A value between 0 and 1 representing satisfaction rating	[optional]
input_cost	float	Cost of input tokens in USD	[optional]
output_cost	float	Cost of output tokens in USD	[optional]
judge_accuracy	float	Average accuracy judge score (0.0-1.0)	[optional]
judge_relevance	float	Average relevance judge score (0.0-1.0)	[optional]
judge_toxicity	float	Average toxicity judge score (0.0-1.0)	[optional]

Example

from launchdarkly_api.models.metrics import Metrics

# TODO update the JSON string below
json = "{}"
# create an instance of Metrics from a JSON string
metrics_instance = Metrics.from_json(json)
# print the JSON string representation of the object
print(Metrics.to_json())

# convert the object into a dict
metrics_dict = metrics_instance.to_dict()
# create an instance of Metrics from a dict
metrics_from_dict = Metrics.from_dict(metrics_dict)

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