Crea un'app

Crea un'app

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Per la documentazione dettagliata che include questo esempio di codice, consulta quanto segue:

Esempio di codice

Python

Per ulteriori informazioni, consulta la documentazione di riferimento dell'API Python Vertex AI Agent Builder.

Per autenticarti in Vertex AI Agent Builder, configura le credenziali predefinite dell'applicazione. Per ulteriori informazioni, consulta Configurare l'autenticazione per un ambiente di sviluppo locale. 

from typing import List

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"
# data_store_ids = ["YOUR_DATA_STORE_ID"]


def create_engine_sample(
    project_id: str, location: str, engine_id: str, data_store_ids: List[str]
) -> str:
    #  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 collection
    # e.g. projects/{project}/locations/{location}/collections/default_collection
    parent = client.collection_path(
        project=project_id,
        location=location,
        collection="default_collection",
    )

    engine = discoveryengine.Engine(
        display_name="Test Engine",
        # Options: GENERIC, MEDIA, HEALTHCARE_FHIR
        industry_vertical=discoveryengine.IndustryVertical.GENERIC,
        # Options: SOLUTION_TYPE_RECOMMENDATION, SOLUTION_TYPE_SEARCH, SOLUTION_TYPE_CHAT, SOLUTION_TYPE_GENERATIVE_CHAT
        solution_type=discoveryengine.SolutionType.SOLUTION_TYPE_SEARCH,
        # For search apps only
        search_engine_config=discoveryengine.Engine.SearchEngineConfig(
            # Options: SEARCH_TIER_STANDARD, SEARCH_TIER_ENTERPRISE
            search_tier=discoveryengine.SearchTier.SEARCH_TIER_ENTERPRISE,
            # Options: SEARCH_ADD_ON_LLM, SEARCH_ADD_ON_UNSPECIFIED
            search_add_ons=[discoveryengine.SearchAddOn.SEARCH_ADD_ON_LLM],
        ),
        # For generic recommendation apps only
        # similar_documents_config=discoveryengine.Engine.SimilarDocumentsEngineConfig,
        data_store_ids=data_store_ids,
    )

    request = discoveryengine.CreateEngineRequest(
        parent=parent,
        engine=engine,
        engine_id=engine_id,
    )

    # Make the request
    operation = client.create_engine(request=request)

    print(f"Waiting for operation to complete: {operation.operation.name}")
    response = operation.result()

    # After the operation is complete,
    # get information from operation metadata
    metadata = discoveryengine.CreateEngineMetadata(operation.metadata)

    # Handle the response
    print(response)
    print(metadata)

    return operation.operation.name

Passaggi successivi

Per cercare e filtrare i sample di codice per altri Google Cloud prodotti, consulta il Google Cloud browser di sample.