Class FlowsAsyncClient (1.12.1)

FlowsAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflowcx_v3.services.flows.transports.base.FlowsTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service for managing Flows.

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
`FlowsTransport`	The transport used by the client instance.

Methods

FlowsAsyncClient

FlowsAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflowcx_v3.services.flows.transports.base.FlowsTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the flows client.

Parameters
Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Union[str, .FlowsTransport]` The transport to use. If set to None, a transport is chosen automatically.
`client_options`	`ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

Exceptions
Type	Description
`google.auth.exceptions.MutualTlsChannelError`	If mutual TLS transport creation failed for any reason.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_flow

create_flow(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.CreateFlowRequest, dict]] = None, *, parent: Optional[str] = None, flow: Optional[google.cloud.dialogflowcx_v3.types.flow.Flow] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a flow in the specified agent.

Note: You should always train a flow prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>__.

from google.cloud import dialogflowcx_v3

async def sample_create_flow():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    flow = dialogflowcx_v3.Flow()
    flow.display_name = "display_name_value"

    request = dialogflowcx_v3.CreateFlowRequest(
        parent="parent_value",
        flow=flow,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.CreateFlowRequest, dict]` The request object. The request message for Flows.CreateFlow.
`parent`	`str` Required. The agent to create a flow for. Format: `projects/`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`flow`	`Flow` Required. The flow to create. This corresponds to the `flow` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.cloud.dialogflowcx_v3.types.Flow Flows represents the conversation flows when you build your chatbot agent. A flow consists of many pages connected by the transition routes. Conversations always start with the built-in Start Flow (with an all-0 ID). Transition routes can direct the conversation session from the current flow (parent flow) to another flow (sub flow). When the sub flow is finished, Dialogflow will bring the session back to the parent flow, where the sub flow is started. Usually, when a transition route is followed by a matched intent, the intent will be "consumed". This means the intent won't activate more transition routes. However, when the followed transition route moves the conversation session into a different flow, the matched intent can be carried over and to be consumed in the target flow.

delete_flow

delete_flow(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.DeleteFlowRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a specified flow.

from google.cloud import dialogflowcx_v3

async def sample_delete_flow():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.DeleteFlowRequest(
        name="name_value",
    )

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

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.DeleteFlowRequest, dict]` The request object. The request message for Flows.DeleteFlow.
`name`	`str` Required. The name of the flow to delete. Format: `projects/`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

export_flow

export_flow(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.ExportFlowRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Exports the specified flow to a binary file.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. 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_ExportFlowResponse

Note that resources (e.g. intents, entities, webhooks) that the flow references will also be exported.

from google.cloud import dialogflowcx_v3

async def sample_export_flow():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.ExportFlowRequest(
        name="name_value",
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.ExportFlowRequest, dict]` The request object. The request message for Flows.ExportFlow.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be ExportFlowResponse The response message for Flows.ExportFlow.

flow_path

flow_path(project: str, location: str, agent: str, flow: str)

Returns a fully-qualified flow string.

flow_validation_result_path

flow_validation_result_path(project: str, location: str, agent: str, flow: str)

Returns a fully-qualified flow_validation_result string.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

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

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`FlowsAsyncClient`	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

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

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
Type	Description
`FlowsAsyncClient`	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

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

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`FlowsAsyncClient`	The constructed client.

get_flow

get_flow(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.GetFlowRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves the specified flow.

from google.cloud import dialogflowcx_v3

async def sample_get_flow():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.GetFlowRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.GetFlowRequest, dict]` The request object. The response message for Flows.GetFlow.
`name`	`str` Required. The name of the flow to get. Format: `projects/`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

get_flow_validation_result

get_flow_validation_result(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.GetFlowValidationResultRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets the latest flow validation result. Flow validation is performed when ValidateFlow is called.

from google.cloud import dialogflowcx_v3

async def sample_get_flow_validation_result():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.GetFlowValidationResultRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.GetFlowValidationResultRequest, dict]` The request object. The request message for Flows.GetFlowValidationResult.
`name`	`str` Required. The flow name. Format: `projects/`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dialogflowcx_v3.types.FlowValidationResult`	The response message for Flows.GetFlowValidationResult.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)

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.

Parameter
Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

get_transport_class

get_transport_class()

Returns an appropriate transport class.

import_flow

import_flow(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.ImportFlowRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Imports the specified flow to the specified agent from a binary file.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. 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_ImportFlowResponse

Note: You should always train a flow prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>__.

from google.cloud import dialogflowcx_v3

async def sample_import_flow():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.ImportFlowRequest(
        flow_uri="flow_uri_value",
        parent="parent_value",
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.ImportFlowRequest, dict]` The request object. The request message for Flows.ImportFlow.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be ImportFlowResponse The response message for Flows.ImportFlow.

intent_path

intent_path(project: str, location: str, agent: str, intent: str)

Returns a fully-qualified intent string.

list_flows

list_flows(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.ListFlowsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Returns the list of all flows in the specified agent.

from google.cloud import dialogflowcx_v3

async def sample_list_flows():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.ListFlowsRequest(
        parent="parent_value",
    )

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

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

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.ListFlowsRequest, dict]` The request object. The request message for Flows.ListFlows.
`parent`	`str` Required. The agent containing the flows. Format: `projects/`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dialogflowcx_v3.services.flows.pagers.ListFlowsAsyncPager`	The response message for Flows.ListFlows. Iterating over this object will yield results and resolve additional pages automatically.

page_path

page_path(project: str, location: str, agent: str, flow: str, page: str)

Returns a fully-qualified page string.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_flow_path

parse_flow_path(path: str)

Parses a flow path into its component segments.

parse_flow_validation_result_path

parse_flow_validation_result_path(path: str)

Parses a flow_validation_result path into its component segments.

parse_intent_path

parse_intent_path(path: str)

Parses a intent path into its component segments.

parse_page_path

parse_page_path(path: str)

Parses a page path into its component segments.

parse_transition_route_group_path

parse_transition_route_group_path(path: str)

Parses a transition_route_group path into its component segments.

parse_webhook_path

parse_webhook_path(path: str)

Parses a webhook path into its component segments.

train_flow

train_flow(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.TrainFlowRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Trains the specified flow. Note that only the flow in 'draft' environment is trained.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. 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 a flow prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>__.

from google.cloud import dialogflowcx_v3

async def sample_train_flow():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.TrainFlowRequest(
        name="name_value",
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.TrainFlowRequest, dict]` The request object. The request message for Flows.TrainFlow.
`name`	`str` Required. The flow to train. Format: `projects/`. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

transition_route_group_path

transition_route_group_path(
    project: str, location: str, agent: str, flow: str, transition_route_group: str
)

Returns a fully-qualified transition_route_group string.

update_flow

update_flow(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.UpdateFlowRequest, dict]] = None, *, flow: Optional[google.cloud.dialogflowcx_v3.types.flow.Flow] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates the specified flow.

Note: You should always train a flow prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>__.

from google.cloud import dialogflowcx_v3

async def sample_update_flow():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    flow = dialogflowcx_v3.Flow()
    flow.display_name = "display_name_value"

    request = dialogflowcx_v3.UpdateFlowRequest(
        flow=flow,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.UpdateFlowRequest, dict]` The request object. The request message for Flows.UpdateFlow.
`flow`	`Flow` Required. The flow to update. This corresponds to the `flow` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The mask to control which fields get updated. If the mask is not present, all fields will be updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type Description

validate_flow

validate_flow(request: Optional[Union[google.cloud.dialogflowcx_v3.types.flow.ValidateFlowRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Validates the specified flow and creates or updates validation results. Please call this API after the training is completed to get the complete validation results.

from google.cloud import dialogflowcx_v3

async def sample_validate_flow():
    # Create a client
    client = dialogflowcx_v3.FlowsAsyncClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3.ValidateFlowRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.dialogflowcx_v3.types.ValidateFlowRequest, dict]` The request object. The request message for Flows.ValidateFlow.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns
Type	Description
`google.cloud.dialogflowcx_v3.types.FlowValidationResult`	The response message for Flows.GetFlowValidationResult.

webhook_path

webhook_path(project: str, location: str, agent: str, webhook: str)

Returns a fully-qualified webhook string.