Agents¶

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsAsyncClient

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

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsAsyncClient

async get_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.GetAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2beta1.types.agent.Agent[source]¶

Retrieves 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_get_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2beta1.types.GetAgentRequest, dict]]) – The request object. The request message for [Agents.GetAgent][google.cloud.dialogflow.v2beta1.Agents.GetAgent].
parent (str) –
Required. The project that the agent to fetch is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>.

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

A Dialogflow agent is a virtual agent that handles conversations with your

end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system.

For more information about agents, see the [Agent guide](https://cloud.google.com/dialogflow/docs/agents-overview).

Return type

google.cloud.dialogflow_v2beta1.types.ValidationResult

async get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
retry (google.api_core.retry_async.AsyncRetry) – 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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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 variable 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.

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]¶

Gets the latest state of a long-running operation.

Parameters

request (GetOperationRequest) – The request object. Request message for GetOperation method.
retry (google.api_core.retry_async.AsyncRetry) – 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

An Operation object.

Return type

Operation

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.dialogflow_v2beta1.services.agents.transports.base.AgentsTransport]¶

Returns an appropriate transport class.

Parameters: label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
Returns: The transport class to use.

async get_validation_result(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.GetValidationResultRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2beta1.types.validation_result.ValidationResult[source]¶

Gets agent validation result. Agent validation is performed during training time and is updated automatically when training is completed.

# 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_validation_result():
    # Create a client
    client = dialogflow_v2beta1.AgentsAsyncClient()

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2beta1.types.GetValidationResultRequest, dict]]) – The request object. The request message for [Agents.GetValidationResult][google.cloud.dialogflow.v2beta1.Agents.GetValidationResult].
retry (google.api_core.retry_async.AsyncRetry) – 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

Represents the output of agent validation.

Return type

async import_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.ImportAgentRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Imports the specified agent from a ZIP file.

Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from [ImportAgentRequest][google.cloud.dialogflow.v2beta1.ImportAgentRequest]. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call [TrainAgent][google.cloud.dialogflow.v2beta1.Agents.TrainAgent] and wait for the operation it returns in order to train explicitly.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

The operation only tracks when importing is complete, not when it is done training.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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_import_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ImportAgentRequest(
        agent_uri="agent_uri_value",
        parent="parent_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2beta1.types.ImportAgentRequest, dict]]) – The request object. The request message for [Agents.ImportAgent][google.cloud.dialogflow.v2beta1.Agents.ImportAgent].
retry (google.api_core.retry_async.AsyncRetry) – 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

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);

}

Return type

async list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
retry (google.api_core.retry_async.AsyncRetry) – 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

Response message for ListLocations method.

Return type

ListLocationsResponse

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

request (ListOperationsRequest) – The request object. Request message for ListOperations method.
retry (google.api_core.retry_async.AsyncRetry) – 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

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_agent_path(path: str) → Dict[str, str]¶: Parses a agent path into its component segments.

static parse_common_billing_account_path(path: str) → Dict[str, str]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]¶: Parse a project path into its component segments.

async restore_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.RestoreAgentRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Restores the specified agent from a ZIP file.

Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. After the restore, the restored draft agent will be trained automatically (unless disabled in agent settings). However, once the restore is done, training may not be completed yet. Please call [TrainAgent][google.cloud.dialogflow.v2beta1.Agents.TrainAgent] and wait for the operation it returns in order to train explicitly.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

The operation only tracks when restoring is complete, not when it is done training.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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_restore_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.RestoreAgentRequest(
        agent_uri="agent_uri_value",
        parent="parent_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2beta1.types.RestoreAgentRequest, dict]]) – The request object. The request message for [Agents.RestoreAgent][google.cloud.dialogflow.v2beta1.Agents.RestoreAgent].
retry (google.api_core.retry_async.AsyncRetry) – 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

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);

}

Return type

google.cloud.dialogflow_v2beta1.services.agents.pagers.SearchAgentsAsyncPager

async search_agents(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.SearchAgentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2beta1.services.agents.pagers.SearchAgentsAsyncPager[source]¶

Returns the list of agents. Since there is at most one conversational agent per project, this method is useful primarily for listing all agents across projects the caller has access to. One can achieve that with a wildcard project collection id “-”. Refer to List Sub-Collections.

# 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_search_agents():
    # Create a client
    client = dialogflow_v2beta1.AgentsAsyncClient()

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

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

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

Parameters

request (Optional[Union[google.cloud.dialogflow_v2beta1.types.SearchAgentsRequest, dict]]) – The request object. The request message for [Agents.SearchAgents][google.cloud.dialogflow.v2beta1.Agents.SearchAgents].
parent (str) –
Required. The project to list agents from. Format: projects/<Project ID or '-'> or projects/<Project ID or '-'>/locations/<Location ID>.

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

The response message for: [Agents.SearchAgents][google.cloud.dialogflow.v2beta1.Agents.SearchAgents].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

async set_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.SetAgentRequest, dict]] = None, *, agent: Optional[google.cloud.dialogflow_v2beta1.types.agent.Agent] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2beta1.types.agent.Agent[source]¶

Creates/updates the specified agent.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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_set_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsAsyncClient()

    # Initialize request argument(s)
    agent = dialogflow_v2beta1.Agent()
    agent.parent = "parent_value"

    request = dialogflow_v2beta1.SetAgentRequest(
        agent=agent,
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2beta1.types.SetAgentRequest, dict]]) – The request object. The request message for [Agents.SetAgent][google.cloud.dialogflow.v2beta1.Agents.SetAgent].
agent (google.cloud.dialogflow_v2beta1.types.Agent) – Required. The agent to update. This corresponds to the agent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

A Dialogflow agent is a virtual agent that handles conversations with your

end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system.

For more information about agents, see the [Agent guide](https://cloud.google.com/dialogflow/docs/agents-overview).

Return type

async train_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.TrainAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Trains the specified agent.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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_train_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsAsyncClient()

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

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2beta1.types.TrainAgentRequest, dict]]) – The request object. The request message for [Agents.TrainAgent][google.cloud.dialogflow.v2beta1.Agents.TrainAgent].
parent (str) –
Required. The project that the agent to train is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>.

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – 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

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);

}

Return type

property transport: google.cloud.dialogflow_v2beta1.services.agents.transports.base.AgentsTransport¶

Returns the transport used by the client instance.

Returns: The transport used by the client instance.
Return type: AgentsTransport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns

The universe domain used: by the client instance.

Return type

str

class google.cloud.dialogflow_v2beta1.services.agents.AgentsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2beta1.services.agents.transports.base.AgentsTransport, typing.Callable[[...], google.cloud.dialogflow_v2beta1.services.agents.transports.base.AgentsTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]¶

Service for managing [Agents][google.cloud.dialogflow.v2beta1.Agent].

Instantiates the agents client.

Parameters

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 (Optional[Union[str,AgentsTransport,Callable[..., AgentsTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the AgentsTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “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).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS 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.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]¶: Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

static agent_path(project: str) → str[source]¶: Returns a fully-qualified agent string.

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

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.

Parameters

request (CancelOperationRequest) – The request object. Request message for CancelOperation method.
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

None

static common_billing_account_path(billing_account: str) → str[source]¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]¶: Returns a fully-qualified project string.

delete_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.DeleteAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes 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

def sample_delete_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsClient()

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

    # Make the request
    client.delete_agent(request=request)

Parameters

request (Union[google.cloud.dialogflow_v2beta1.types.DeleteAgentRequest, dict]) – The request object. The request message for [Agents.DeleteAgent][google.cloud.dialogflow.v2beta1.Agents.DeleteAgent].
parent (str) –
Required. The project that the agent to delete is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>.

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.

export_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.ExportAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Exports the specified agent to a ZIP file.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: [ExportAgentResponse][google.cloud.dialogflow.v2beta1.ExportAgentResponse]

# 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

def sample_export_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2beta1.types.ExportAgentRequest, dict]) – The request object. The request message for [Agents.ExportAgent][google.cloud.dialogflow.v2beta1.Agents.ExportAgent].
parent (str) –
Required. The project that the agent to export is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>.

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

An object representing a long-running operation.

The result type for the operation will be google.cloud.dialogflow_v2beta1.types.ExportAgentResponse The response message for: [Agents.ExportAgent][google.cloud.dialogflow.v2beta1.Agents.ExportAgent].

Return type

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsClient

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

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

AgentsClient

get_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.GetAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2beta1.types.agent.Agent[source]¶

Retrieves 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

def sample_get_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsClient()

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

    # Make the request
    response = client.get_agent(request=request)

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2beta1.types.GetAgentRequest, dict]) – The request object. The request message for [Agents.GetAgent][google.cloud.dialogflow.v2beta1.Agents.GetAgent].
parent (str) –
Required. The project that the agent to fetch is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>.

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

A Dialogflow agent is a virtual agent that handles conversations with your

end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system.

For more information about agents, see the [Agent guide](https://cloud.google.com/dialogflow/docs/agents-overview).

Return type

google.cloud.dialogflow_v2beta1.types.ValidationResult

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

Deprecated. 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 variable 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.

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]¶

Gets the latest state of a long-running operation.

Parameters

request (GetOperationRequest) – The request object. Request message for GetOperation method.
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

An Operation object.

Return type

Operation

get_validation_result(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.GetValidationResultRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2beta1.types.validation_result.ValidationResult[source]¶

Gets agent validation result. Agent validation is performed during training time and is updated automatically when training is completed.

# 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

def sample_get_validation_result():
    # Create a client
    client = dialogflow_v2beta1.AgentsClient()

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

    # Make the request
    response = client.get_validation_result(request=request)

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2beta1.types.GetValidationResultRequest, dict]) – The request object. The request message for [Agents.GetValidationResult][google.cloud.dialogflow.v2beta1.Agents.GetValidationResult].
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

Represents the output of agent validation.

Return type

import_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.ImportAgentRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Imports the specified agent from a ZIP file.

Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from [ImportAgentRequest][google.cloud.dialogflow.v2beta1.ImportAgentRequest]. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call [TrainAgent][google.cloud.dialogflow.v2beta1.Agents.TrainAgent] and wait for the operation it returns in order to train explicitly.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

The operation only tracks when importing is complete, not when it is done training.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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

def sample_import_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ImportAgentRequest(
        agent_uri="agent_uri_value",
        parent="parent_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2beta1.types.ImportAgentRequest, dict]) – The request object. The request message for [Agents.ImportAgent][google.cloud.dialogflow.v2beta1.Agents.ImportAgent].
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

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);

}

Return type

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
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

Response message for ListLocations method.

Return type

ListLocationsResponse

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

request (ListOperationsRequest) – The request object. Request message for ListOperations method.
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

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_agent_path(path: str) → Dict[str, str][source]¶: Parses a agent path into its component segments.

static parse_common_billing_account_path(path: str) → Dict[str, str][source]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]¶: Parse a project path into its component segments.

restore_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.RestoreAgentRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Restores the specified agent from a ZIP file.

Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. After the restore, the restored draft agent will be trained automatically (unless disabled in agent settings). However, once the restore is done, training may not be completed yet. Please call [TrainAgent][google.cloud.dialogflow.v2beta1.Agents.TrainAgent] and wait for the operation it returns in order to train explicitly.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

The operation only tracks when restoring is complete, not when it is done training.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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

def sample_restore_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.RestoreAgentRequest(
        agent_uri="agent_uri_value",
        parent="parent_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2beta1.types.RestoreAgentRequest, dict]) – The request object. The request message for [Agents.RestoreAgent][google.cloud.dialogflow.v2beta1.Agents.RestoreAgent].
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

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);

}

Return type

google.cloud.dialogflow_v2beta1.services.agents.pagers.SearchAgentsPager

search_agents(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.SearchAgentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2beta1.services.agents.pagers.SearchAgentsPager[source]¶

Returns the list of agents. Since there is at most one conversational agent per project, this method is useful primarily for listing all agents across projects the caller has access to. One can achieve that with a wildcard project collection id “-”. Refer to List Sub-Collections.

# 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

def sample_search_agents():
    # Create a client
    client = dialogflow_v2beta1.AgentsClient()

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

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

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

Parameters

request (Union[google.cloud.dialogflow_v2beta1.types.SearchAgentsRequest, dict]) – The request object. The request message for [Agents.SearchAgents][google.cloud.dialogflow.v2beta1.Agents.SearchAgents].
parent (str) –
Required. The project to list agents from. Format: projects/<Project ID or '-'> or projects/<Project ID or '-'>/locations/<Location ID>.

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

The response message for: [Agents.SearchAgents][google.cloud.dialogflow.v2beta1.Agents.SearchAgents].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

set_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.SetAgentRequest, dict]] = None, *, agent: Optional[google.cloud.dialogflow_v2beta1.types.agent.Agent] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2beta1.types.agent.Agent[source]¶

Creates/updates the specified agent.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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

def sample_set_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsClient()

    # Initialize request argument(s)
    agent = dialogflow_v2beta1.Agent()
    agent.parent = "parent_value"

    request = dialogflow_v2beta1.SetAgentRequest(
        agent=agent,
    )

    # Make the request
    response = client.set_agent(request=request)

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2beta1.types.SetAgentRequest, dict]) – The request object. The request message for [Agents.SetAgent][google.cloud.dialogflow.v2beta1.Agents.SetAgent].
agent (google.cloud.dialogflow_v2beta1.types.Agent) – Required. The agent to update. This corresponds to the agent 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

A Dialogflow agent is a virtual agent that handles conversations with your

end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system.

For more information about agents, see the [Agent guide](https://cloud.google.com/dialogflow/docs/agents-overview).

Return type

train_agent(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.agent.TrainAgentRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Trains the specified agent.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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

def sample_train_agent():
    # Create a client
    client = dialogflow_v2beta1.AgentsClient()

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

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

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

    response = operation.result()

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2beta1.types.TrainAgentRequest, dict]) – The request object. The request message for [Agents.TrainAgent][google.cloud.dialogflow.v2beta1.Agents.TrainAgent].
parent (str) –
Required. The project that the agent to train is associated with. Format: projects/<Project ID> or projects/<Project ID>/locations/<Location ID>.

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

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);

}

Return type