Class AsyncPromptOptimizer (1.129.0)

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AsyncPromptOptimizer(api_client_: google.genai._api_client.BaseApiClient)

Prompt Optimizer

Methods

optimize

optimize(
    method: vertexai._genai.types.common.PromptOptimizerMethod,
    config: typing.Union[
        vertexai._genai.types.common.PromptOptimizerConfig,
        vertexai._genai.types.common.PromptOptimizerConfigDict,
    ],
) -> vertexai._genai.types.common.CustomJob

Call 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.PromptOptimizerConfig( config_path='gs://you-bucket-name/your-config.json', service_account=service_account, ) job = await client.aio.prompt_optimizer.optimize( method=types.PromptOptimizerMethod.VAPO, config=vapo_config)

optimize_prompt

optimize_prompt(
    *,
    prompt: str,
    config: typing.Optional[vertexai._genai.types.common.OptimizeConfig] = None
) -> vertexai._genai.types.common.OptimizeResponse

Makes 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)