Class IntentsAsyncClient (2.17.0)

Service for managing Intents.

Returns the transport used by the client instance.

Instantiates the intents client.

Deletes intents in the specified agent.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

• metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
• response: An Empty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>__

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

async def sample_batch_delete_intents():
    # Create a client
    client = dialogflow_v2beta1.IntentsAsyncClient()

    # Initialize request argument(s)
    intents = dialogflow_v2beta1.Intent()
    intents.display_name = "display_name_value"

    request = dialogflow_v2beta1.BatchDeleteIntentsRequest(
        parent="parent_value",
        intents=intents,
    )

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

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Updates/Creates multiple intents in the specified agent.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

• metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
• response: xref_BatchUpdateIntentsResponse

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

async def sample_batch_update_intents():
    # Create a client
    client = dialogflow_v2beta1.IntentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.BatchUpdateIntentsRequest(
        intent_batch_uri="intent_batch_uri_value",
        parent="parent_value",
    )

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

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Returns a fully-qualified context string.

Creates an intent in the specified agent.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

async def sample_create_intent():
    # Create a client
    client = dialogflow_v2beta1.IntentsAsyncClient()

    # Initialize request argument(s)
    intent = dialogflow_v2beta1.Intent()
    intent.display_name = "display_name_value"

    request = dialogflow_v2beta1.CreateIntentRequest(
        parent="parent_value",
        intent=intent,
    )

    # Make the request
    response = await client.create_intent(request=request)

    # Handle the response
    print(response)

Deletes the specified intent and its direct or indirect followup intents.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

async def sample_delete_intent():
    # Create a client
    client = dialogflow_v2beta1.IntentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.DeleteIntentRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_intent(request=request)

Creates an instance of this client using the provided credentials file.

Creates an instance of this client using the provided credentials info.

Creates an instance of this client using the provided credentials file.

Retrieves the specified intent.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

async def sample_get_intent():
    # Create a client
    client = dialogflow_v2beta1.IntentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.GetIntentRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_intent(request=request)

    # Handle the response
    print(response)

Gets information about a location.

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variabel is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Gets the latest state of a long-running operation.

Returns an appropriate transport class.

Returns a fully-qualified intent string.

Returns the list of all intents in the specified agent.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

async def sample_list_intents():
    # Create a client
    client = dialogflow_v2beta1.IntentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ListIntentsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_intents(request=request)

    # Handle the response
    async for response in page_result:
        print(response)

Lists information about the supported locations for this service.

Lists operations that match the specified filter in the request.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a context path into its component segments.

Parses a intent path into its component segments.

Updates the specified intent.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

async def sample_update_intent():
    # Create a client
    client = dialogflow_v2beta1.IntentsAsyncClient()

    # Initialize request argument(s)
    intent = dialogflow_v2beta1.Intent()
    intent.display_name = "display_name_value"

    request = dialogflow_v2beta1.UpdateIntentRequest(
        intent=intent,
    )

    # Make the request
    response = await client.update_intent(request=request)

    # Handle the response
    print(response)