获取应用

获取应用

代码示例

Python

如需了解详情，请参阅 Vertex AI Agent Builder Python API 参考文档。

如需向 Vertex AI Agent Builder 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

from google.api_core.client_options import ClientOptions
from google.cloud import discoveryengine_v1 as discoveryengine

# TODO(developer): Uncomment these variables before running the sample.
# project_id = "YOUR_PROJECT_ID"
# location = "YOUR_LOCATION" # Values: "global"
# engine_id = "YOUR_ENGINE_ID"


def get_engine_sample(
    project_id: str,
    location: str,
    engine_id: str,
) -> discoveryengine.Engine:
    #  For more information, refer to:
    # https://cloud.google.com/generative-ai-app-builder/docs/locations#specify_a_multi-region_for_your_data_store
    client_options = (
        ClientOptions(api_endpoint=f"{location}-discoveryengine.googleapis.com")
        if location != "global"
        else None
    )

    # Create a client
    client = discoveryengine.EngineServiceClient(client_options=client_options)

    # The full resource name of the engine
    # e.g. projects/{project}/locations/{location}/collections/default_collection/engines/{engine_id}
    name = client.engine_path(
        project=project_id,
        location=location,
        collection="default_collection",
        engine=engine_id,
    )

    # Make the request
    response = client.get_engine(name=name)

    # Handle response
    print(response)

    return response

后续步骤

如需搜索和过滤其他 Google Cloud 产品的代码示例，请参阅 Google Cloud 示例浏览器。