AgentOptimization.md

AgentOptimization

Properties

Name	Type	Description	Notes
access	AiConfigsAccess		[optional]
links	ParentAndSelfLinks		[optional]
id	str	The agent optimization ID
key	str	The agent optimization key
ai_config_key	str	The key of the AI Config to optimize
max_attempts	int	The maximum number of attempts
model_choices	List[str]	The models to try
judge_model	str	The model used to judge responses
variable_choices	List[Dict[str, object]]	Sets of prompt variable values to try
acceptance_statements	List[AgentOptimizationAcceptanceStatement]	Statements a response must satisfy to pass
judges	List[AgentOptimizationJudge]	Judges that score each response
user_input_options	List[str]	User inputs to test with
ground_truth_responses	List[str]	Expected responses to compare against
metric_key	str	The key of the metric to optimize	[optional]
token_limit	int	The maximum number of tokens to use	[optional]
variation_key	str	The key of the variation to start from	[optional]
label	str	A label for the optimization	[optional]
latency_optimization	bool	Whether to optimize for lower latency	[optional]
token_optimization	bool	Whether to optimize for lower token use	[optional]
auto_commit	bool	Whether to save the best result as a new variation automatically	[optional]
version	int	The version number of this resource
created_at	int	When this resource was created, in Unix milliseconds

Example

from launchdarkly_api.models.agent_optimization import AgentOptimization

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

# convert the object into a dict
agent_optimization_dict = agent_optimization_instance.to_dict()
# create an instance of AgentOptimization from a dict
agent_optimization_from_dict = AgentOptimization.from_dict(agent_optimization_dict)

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