Class AsyncPromptOptimizer (1.121.0)
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AsyncPromptOptimizer(api_client_: google.genai._api_client.BaseApiClient)Prompt Optimizer
Methods
optimize
optimize(
method: str,
config: typing.Union[
vertexai._genai.types.PromptOptimizerVAPOConfig,
vertexai._genai.types.PromptOptimizerVAPOConfigDict,
],
) -> vertexai._genai.types.CustomJobCall async Vertex AI Prompt Optimizer (VAPO).
Note: The wait_for_completion parameter in the config will be
ignored when using the AsyncClient, as it is not supported.
Example usage: client = vertexai.Client(project=PROJECT_NAME, location='us-central1') vapo_config = vertexai.types.PromptOptimizerVAPOConfig( config_path='gs://you-bucket-name/your-config.json', service_account=service_account, ) job = await client.aio.prompt_optimizer.optimize( method='vapo', config=vapo_config)
optimize_prompt
optimize_prompt(
*, prompt: str, config: typing.Optional[vertexai._genai.types.OptimizeConfig] = None
) -> vertexai._genai.types.OptimizeResponseMakes an async request to _optimize_prompt and returns an optimized prompt.
Example usage: client = vertexai.Client(project=PROJECT_NAME, location='us-central1') prompt = "Generate system instructions for analyzing medical articles" response = await client.aio.prompt_optimizer.optimize_prompt(prompt=prompt)