As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Conversations¶

class google.cloud.dialogflow_v2.services.conversations.ConversationsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2.services.conversations.transports.base.ConversationsTransport, typing.Callable[[...], google.cloud.dialogflow_v2.services.conversations.transports.base.ConversationsTransport]]] = 'grpc_asyncio', client_options: typing.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>)[source]¶

Service for managing [Conversations][google.cloud.dialogflow.v2.Conversation].

Instantiates the conversations async 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,ConversationsTransport,Callable[..., ConversationsTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the ConversationsTransport 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 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.

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

static answer_record_path(project: str, answer_record: str) → str¶: Returns a fully-qualified answer_record 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

async cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = 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]] = ()) → 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_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

None

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

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

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

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

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

async complete_conversation(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.CompleteConversationRequest, dict]] = None, *, name: 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_v2.types.conversation.Conversation[source]¶

Completes the specified conversation. Finished conversations are purged from the database after 30 days.

# 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_v2

async def sample_complete_conversation():
    # Create a client
    client = dialogflow_v2.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.CompleteConversationRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.CompleteConversationRequest, dict]]) – The request object. The request message for [Conversations.CompleteConversation][google.cloud.dialogflow.v2.Conversations.CompleteConversation].
name (str) –
Required. Resource identifier of the conversation to close. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>.

This corresponds to the name 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

Represents a conversation. A conversation is an interaction between an agent, including live agents and Dialogflow agents, and a support customer. Conversations can include phone calls and text-based chat sessions.

Return type

google.cloud.dialogflow_v2.types.Conversation

static conversation_model_path(project: str, location: str, conversation_model: str) → str¶: Returns a fully-qualified conversation_model string.

static conversation_path(project: str, conversation: str) → str¶: Returns a fully-qualified conversation string.

static conversation_profile_path(project: str, conversation_profile: str) → str¶: Returns a fully-qualified conversation_profile string.

async create_conversation(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.CreateConversationRequest, dict]] = None, *, parent: Optional[str] = None, conversation: Optional[google.cloud.dialogflow_v2.types.conversation.Conversation] = 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_v2.types.conversation.Conversation[source]¶

Creates a new conversation. Conversations are auto-completed after 24 hours.

Conversation Lifecycle: There are two stages during a conversation: Automated Agent Stage and Assist Stage.

For Automated Agent Stage, there will be a dialogflow agent responding to user queries.

For Assist Stage, there’s no dialogflow agent responding to user queries. But we will provide suggestions which are generated from conversation.

If [Conversation.conversation_profile][google.cloud.dialogflow.v2.Conversation.conversation_profile] is configured for a dialogflow agent, conversation will start from Automated Agent Stage, otherwise, it will start from Assist Stage. And during Automated Agent Stage, once an [Intent][google.cloud.dialogflow.v2.Intent] with [Intent.live_agent_handoff][google.cloud.dialogflow.v2.Intent.live_agent_handoff] is triggered, conversation will transfer to Assist Stage.

# 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_v2

async def sample_create_conversation():
    # Create a client
    client = dialogflow_v2.ConversationsAsyncClient()

    # Initialize request argument(s)
    conversation = dialogflow_v2.Conversation()
    conversation.conversation_profile = "conversation_profile_value"

    request = dialogflow_v2.CreateConversationRequest(
        parent="parent_value",
        conversation=conversation,
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.CreateConversationRequest, dict]]) – The request object. The request message for [Conversations.CreateConversation][google.cloud.dialogflow.v2.Conversations.CreateConversation].
parent (str) –
Required. Resource identifier of the project creating the conversation. Format: 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.
conversation (google.cloud.dialogflow_v2.types.Conversation) – Required. The conversation to create. This corresponds to the conversation 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

Represents a conversation. A conversation is an interaction between an agent, including live agents and Dialogflow agents, and a support customer. Conversations can include phone calls and text-based chat sessions.

Return type

google.cloud.dialogflow_v2.types.Conversation

static cx_security_settings_path(project: str, location: str, security_settings: str) → str¶: Returns a fully-qualified cx_security_settings string.

static data_store_path(project: str, location: str, collection: str, data_store: str) → str¶: Returns a fully-qualified data_store string.

static document_path(project: str, knowledge_base: str, document: str) → str¶: Returns a fully-qualified document string.

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

ConversationsAsyncClient

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

ConversationsAsyncClient

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

ConversationsAsyncClient

async generate_stateless_suggestion(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.GenerateStatelessSuggestionRequest, 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_v2.types.conversation.GenerateStatelessSuggestionResponse[source]¶

Generates and returns a suggestion for a conversation that does not have a resource created for it.

# 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_v2

async def sample_generate_stateless_suggestion():
    # Create a client
    client = dialogflow_v2.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.GenerateStatelessSuggestionRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.GenerateStatelessSuggestionRequest, dict]]) – The request object. The request message for [Conversations.GenerateStatelessSuggestion][google.cloud.dialogflow.v2.Conversations.GenerateStatelessSuggestion].
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: [Conversations.GenerateStatelessSuggestion][google.cloud.dialogflow.v2.Conversations.GenerateStatelessSuggestion].

Return type

google.cloud.dialogflow_v2.types.GenerateStatelessSuggestionResponse

async generate_stateless_summary(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.GenerateStatelessSummaryRequest, 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_v2.types.conversation.GenerateStatelessSummaryResponse[source]¶

Generates and returns a summary for a conversation that does not have a resource created for it.

# 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_v2

async def sample_generate_stateless_summary():
    # Create a client
    client = dialogflow_v2.ConversationsAsyncClient()

    # Initialize request argument(s)
    stateless_conversation = dialogflow_v2.MinimalConversation()
    stateless_conversation.messages.content = "content_value"
    stateless_conversation.parent = "parent_value"

    conversation_profile = dialogflow_v2.ConversationProfile()
    conversation_profile.display_name = "display_name_value"

    request = dialogflow_v2.GenerateStatelessSummaryRequest(
        stateless_conversation=stateless_conversation,
        conversation_profile=conversation_profile,
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.GenerateStatelessSummaryRequest, dict]]) – The request object. The request message for [Conversations.GenerateStatelessSummary][google.cloud.dialogflow.v2.Conversations.GenerateStatelessSummary].
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: [Conversations.GenerateStatelessSummary][google.cloud.dialogflow.v2.Conversations.GenerateStatelessSummary].

Return type

google.cloud.dialogflow_v2.types.GenerateStatelessSummaryResponse

static generator_path(project: str, location: str, generator: str) → str¶: Returns a fully-qualified generator string.

async get_conversation(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.GetConversationRequest, dict]] = None, *, name: 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_v2.types.conversation.Conversation[source]¶

Retrieves the specific conversation.

# 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_v2

async def sample_get_conversation():
    # Create a client
    client = dialogflow_v2.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.GetConversationRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.GetConversationRequest, dict]]) – The request object. The request message for [Conversations.GetConversation][google.cloud.dialogflow.v2.Conversations.GetConversation].
name (str) –
Required. The name of the conversation. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>.

This corresponds to the name 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

Represents a conversation. A conversation is an interaction between an agent, including live agents and Dialogflow agents, and a support customer. Conversations can include phone calls and text-based chat sessions.

Return type

google.cloud.dialogflow_v2.types.Conversation

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_v2.services.conversations.transports.base.ConversationsTransport]¶

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.

static knowledge_base_path(project: str, knowledge_base: str) → str¶: Returns a fully-qualified knowledge_base string.

async list_conversations(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.ListConversationsRequest, 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_v2.services.conversations.pagers.ListConversationsAsyncPager[source]¶

Returns the list of all conversations in the specified project.

# 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_v2

async def sample_list_conversations():
    # Create a client
    client = dialogflow_v2.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ListConversationsRequest(
        parent="parent_value",
    )

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

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

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.ListConversationsRequest, dict]]) – The request object. The request message for [Conversations.ListConversations][google.cloud.dialogflow.v2.Conversations.ListConversations].
parent (str) –
Required. The project from which to list all conversation. Format: 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

The response message for: [Conversations.ListConversations][google.cloud.dialogflow.v2.Conversations.ListConversations].

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

Return type

google.cloud.dialogflow_v2.services.conversations.pagers.ListConversationsAsyncPager

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_messages(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.ListMessagesRequest, 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_v2.services.conversations.pagers.ListMessagesAsyncPager[source]¶

Lists messages that belong to a given conversation. messages are ordered by create_time in descending order. To fetch updates without duplication, send request with filter create_time_epoch_microseconds > [first item's create_time of previous request] and empty page_token.

# 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_v2

async def sample_list_messages():
    # Create a client
    client = dialogflow_v2.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ListMessagesRequest(
        parent="parent_value",
    )

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

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

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.ListMessagesRequest, dict]]) – The request object. The request message for [Conversations.ListMessages][google.cloud.dialogflow.v2.Conversations.ListMessages].
parent (str) –
Required. The name of the conversation to list messages for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation 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: [Conversations.ListMessages][google.cloud.dialogflow.v2.Conversations.ListMessages].

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

Return type

google.cloud.dialogflow_v2.services.conversations.pagers.ListMessagesAsyncPager

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 message_path(project: str, conversation: str, message: str) → str¶: Returns a fully-qualified message string.

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

static parse_answer_record_path(path: str) → Dict[str, str]¶: Parses a answer_record 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.

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

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

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

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

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

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

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

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

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

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

static phrase_set_path(project: str, location: str, phrase_set: str) → str¶: Returns a fully-qualified phrase_set string.

async search_knowledge(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.SearchKnowledgeRequest, 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_v2.types.conversation.SearchKnowledgeResponse[source]¶

Get answers for the given query based on knowledge documents.

# 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_v2

async def sample_search_knowledge():
    # Create a client
    client = dialogflow_v2.ConversationsAsyncClient()

    # Initialize request argument(s)
    query = dialogflow_v2.TextInput()
    query.text = "text_value"
    query.language_code = "language_code_value"

    request = dialogflow_v2.SearchKnowledgeRequest(
        parent="parent_value",
        query=query,
        conversation_profile="conversation_profile_value",
        session_id="session_id_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.SearchKnowledgeRequest, dict]]) – The request object. The request message for [Conversations.SearchKnowledge][google.cloud.dialogflow.v2.Conversations.SearchKnowledge].
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: [Conversations.SearchKnowledge][google.cloud.dialogflow.v2.Conversations.SearchKnowledge].

Return type

google.cloud.dialogflow_v2.types.SearchKnowledgeResponse

async suggest_conversation_summary(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.SuggestConversationSummaryRequest, dict]] = None, *, conversation: 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_v2.types.conversation.SuggestConversationSummaryResponse[source]¶

Suggests summary for a conversation based on specific historical messages. The range of the messages to be used for summary can be specified in the request.

# 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_v2

async def sample_suggest_conversation_summary():
    # Create a client
    client = dialogflow_v2.ConversationsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.SuggestConversationSummaryRequest(
        conversation="conversation_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.SuggestConversationSummaryRequest, dict]]) – The request object. The request message for [Conversations.SuggestConversationSummary][google.cloud.dialogflow.v2.Conversations.SuggestConversationSummary].
conversation (str) –
Required. The conversation to fetch suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>.

This corresponds to the conversation 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: [Conversations.SuggestConversationSummary][google.cloud.dialogflow.v2.Conversations.SuggestConversationSummary].

Return type

google.cloud.dialogflow_v2.types.SuggestConversationSummaryResponse

property transport: google.cloud.dialogflow_v2.services.conversations.transports.base.ConversationsTransport¶

Returns the transport used by the client instance.

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

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_v2.services.conversations.ConversationsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2.services.conversations.transports.base.ConversationsTransport, typing.Callable[[...], google.cloud.dialogflow_v2.services.conversations.transports.base.ConversationsTransport]]] = 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 [Conversations][google.cloud.dialogflow.v2.Conversation].

Instantiates the conversations 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,ConversationsTransport,Callable[..., ConversationsTransport]]]) – 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 ConversationsTransport 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.

static answer_record_path(project: str, answer_record: str) → str[source]¶: Returns a fully-qualified answer_record 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.

complete_conversation(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.CompleteConversationRequest, dict]] = None, *, name: 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_v2.types.conversation.Conversation[source]¶

Completes the specified conversation. Finished conversations are purged from the database after 30 days.

# 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_v2

def sample_complete_conversation():
    # Create a client
    client = dialogflow_v2.ConversationsClient()

    # Initialize request argument(s)
    request = dialogflow_v2.CompleteConversationRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.CompleteConversationRequest, dict]) – The request object. The request message for [Conversations.CompleteConversation][google.cloud.dialogflow.v2.Conversations.CompleteConversation].
name (str) –
Required. Resource identifier of the conversation to close. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>.

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

Represents a conversation. A conversation is an interaction between an agent, including live agents and Dialogflow agents, and a support customer. Conversations can include phone calls and text-based chat sessions.

Return type

google.cloud.dialogflow_v2.types.Conversation

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

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

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

create_conversation(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.CreateConversationRequest, dict]] = None, *, parent: Optional[str] = None, conversation: Optional[google.cloud.dialogflow_v2.types.conversation.Conversation] = 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_v2.types.conversation.Conversation[source]¶

Creates a new conversation. Conversations are auto-completed after 24 hours.

Conversation Lifecycle: There are two stages during a conversation: Automated Agent Stage and Assist Stage.

For Automated Agent Stage, there will be a dialogflow agent responding to user queries.

For Assist Stage, there’s no dialogflow agent responding to user queries. But we will provide suggestions which are generated from conversation.

If [Conversation.conversation_profile][google.cloud.dialogflow.v2.Conversation.conversation_profile] is configured for a dialogflow agent, conversation will start from Automated Agent Stage, otherwise, it will start from Assist Stage. And during Automated Agent Stage, once an [Intent][google.cloud.dialogflow.v2.Intent] with [Intent.live_agent_handoff][google.cloud.dialogflow.v2.Intent.live_agent_handoff] is triggered, conversation will transfer to Assist Stage.

# 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_v2

def sample_create_conversation():
    # Create a client
    client = dialogflow_v2.ConversationsClient()

    # Initialize request argument(s)
    conversation = dialogflow_v2.Conversation()
    conversation.conversation_profile = "conversation_profile_value"

    request = dialogflow_v2.CreateConversationRequest(
        parent="parent_value",
        conversation=conversation,
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.CreateConversationRequest, dict]) – The request object. The request message for [Conversations.CreateConversation][google.cloud.dialogflow.v2.Conversations.CreateConversation].
parent (str) –
Required. Resource identifier of the project creating the conversation. Format: 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.
conversation (google.cloud.dialogflow_v2.types.Conversation) – Required. The conversation to create. This corresponds to the conversation 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

Represents a conversation. A conversation is an interaction between an agent, including live agents and Dialogflow agents, and a support customer. Conversations can include phone calls and text-based chat sessions.

Return type

google.cloud.dialogflow_v2.types.Conversation

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

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

static document_path(project: str, knowledge_base: str, document: str) → str[source]¶: Returns a fully-qualified document string.

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

ConversationsClient

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

ConversationsClient

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

ConversationsClient

generate_stateless_suggestion(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.GenerateStatelessSuggestionRequest, 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_v2.types.conversation.GenerateStatelessSuggestionResponse[source]¶

Generates and returns a suggestion for a conversation that does not have a resource created for it.

# 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_v2

def sample_generate_stateless_suggestion():
    # Create a client
    client = dialogflow_v2.ConversationsClient()

    # Initialize request argument(s)
    request = dialogflow_v2.GenerateStatelessSuggestionRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.GenerateStatelessSuggestionRequest, dict]) – The request object. The request message for [Conversations.GenerateStatelessSuggestion][google.cloud.dialogflow.v2.Conversations.GenerateStatelessSuggestion].
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: [Conversations.GenerateStatelessSuggestion][google.cloud.dialogflow.v2.Conversations.GenerateStatelessSuggestion].

Return type

google.cloud.dialogflow_v2.types.GenerateStatelessSuggestionResponse

generate_stateless_summary(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.GenerateStatelessSummaryRequest, 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_v2.types.conversation.GenerateStatelessSummaryResponse[source]¶

Generates and returns a summary for a conversation that does not have a resource created for it.

# 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_v2

def sample_generate_stateless_summary():
    # Create a client
    client = dialogflow_v2.ConversationsClient()

    # Initialize request argument(s)
    stateless_conversation = dialogflow_v2.MinimalConversation()
    stateless_conversation.messages.content = "content_value"
    stateless_conversation.parent = "parent_value"

    conversation_profile = dialogflow_v2.ConversationProfile()
    conversation_profile.display_name = "display_name_value"

    request = dialogflow_v2.GenerateStatelessSummaryRequest(
        stateless_conversation=stateless_conversation,
        conversation_profile=conversation_profile,
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.GenerateStatelessSummaryRequest, dict]) – The request object. The request message for [Conversations.GenerateStatelessSummary][google.cloud.dialogflow.v2.Conversations.GenerateStatelessSummary].
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: [Conversations.GenerateStatelessSummary][google.cloud.dialogflow.v2.Conversations.GenerateStatelessSummary].

Return type

google.cloud.dialogflow_v2.types.GenerateStatelessSummaryResponse

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

get_conversation(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.GetConversationRequest, dict]] = None, *, name: 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_v2.types.conversation.Conversation[source]¶

Retrieves the specific conversation.

# 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_v2

def sample_get_conversation():
    # Create a client
    client = dialogflow_v2.ConversationsClient()

    # Initialize request argument(s)
    request = dialogflow_v2.GetConversationRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.GetConversationRequest, dict]) – The request object. The request message for [Conversations.GetConversation][google.cloud.dialogflow.v2.Conversations.GetConversation].
name (str) –
Required. The name of the conversation. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>.

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

Represents a conversation. A conversation is an interaction between an agent, including live agents and Dialogflow agents, and a support customer. Conversations can include phone calls and text-based chat sessions.

Return type

google.cloud.dialogflow_v2.types.Conversation

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

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

list_conversations(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.ListConversationsRequest, 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_v2.services.conversations.pagers.ListConversationsPager[source]¶

Returns the list of all conversations in the specified project.

# 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_v2

def sample_list_conversations():
    # Create a client
    client = dialogflow_v2.ConversationsClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ListConversationsRequest(
        parent="parent_value",
    )

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

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

Parameters

request (Union[google.cloud.dialogflow_v2.types.ListConversationsRequest, dict]) – The request object. The request message for [Conversations.ListConversations][google.cloud.dialogflow.v2.Conversations.ListConversations].
parent (str) –
Required. The project from which to list all conversation. Format: 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

The response message for: [Conversations.ListConversations][google.cloud.dialogflow.v2.Conversations.ListConversations].

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

Return type

google.cloud.dialogflow_v2.services.conversations.pagers.ListConversationsPager

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_messages(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.ListMessagesRequest, 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_v2.services.conversations.pagers.ListMessagesPager[source]¶

Lists messages that belong to a given conversation. messages are ordered by create_time in descending order. To fetch updates without duplication, send request with filter create_time_epoch_microseconds > [first item's create_time of previous request] and empty page_token.

# 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_v2

def sample_list_messages():
    # Create a client
    client = dialogflow_v2.ConversationsClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ListMessagesRequest(
        parent="parent_value",
    )

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

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

Parameters

request (Union[google.cloud.dialogflow_v2.types.ListMessagesRequest, dict]) – The request object. The request message for [Conversations.ListMessages][google.cloud.dialogflow.v2.Conversations.ListMessages].
parent (str) –
Required. The name of the conversation to list messages for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation 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: [Conversations.ListMessages][google.cloud.dialogflow.v2.Conversations.ListMessages].

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

Return type

google.cloud.dialogflow_v2.services.conversations.pagers.ListMessagesPager

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 message_path(project: str, conversation: str, message: str) → str[source]¶: Returns a fully-qualified message string.

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

static parse_answer_record_path(path: str) → Dict[str, str][source]¶: Parses a answer_record 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.

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

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

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

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

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

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

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

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

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

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

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

search_knowledge(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.SearchKnowledgeRequest, 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_v2.types.conversation.SearchKnowledgeResponse[source]¶

Get answers for the given query based on knowledge documents.

# 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_v2

def sample_search_knowledge():
    # Create a client
    client = dialogflow_v2.ConversationsClient()

    # Initialize request argument(s)
    query = dialogflow_v2.TextInput()
    query.text = "text_value"
    query.language_code = "language_code_value"

    request = dialogflow_v2.SearchKnowledgeRequest(
        parent="parent_value",
        query=query,
        conversation_profile="conversation_profile_value",
        session_id="session_id_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.SearchKnowledgeRequest, dict]) – The request object. The request message for [Conversations.SearchKnowledge][google.cloud.dialogflow.v2.Conversations.SearchKnowledge].
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: [Conversations.SearchKnowledge][google.cloud.dialogflow.v2.Conversations.SearchKnowledge].

Return type

google.cloud.dialogflow_v2.types.SearchKnowledgeResponse

suggest_conversation_summary(request: Optional[Union[google.cloud.dialogflow_v2.types.conversation.SuggestConversationSummaryRequest, dict]] = None, *, conversation: 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_v2.types.conversation.SuggestConversationSummaryResponse[source]¶

Suggests summary for a conversation based on specific historical messages. The range of the messages to be used for summary can be specified in the request.

# 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_v2

def sample_suggest_conversation_summary():
    # Create a client
    client = dialogflow_v2.ConversationsClient()

    # Initialize request argument(s)
    request = dialogflow_v2.SuggestConversationSummaryRequest(
        conversation="conversation_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.SuggestConversationSummaryRequest, dict]) – The request object. The request message for [Conversations.SuggestConversationSummary][google.cloud.dialogflow.v2.Conversations.SuggestConversationSummary].
conversation (str) –
Required. The conversation to fetch suggestion for. Format: projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>.

This corresponds to the conversation 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: [Conversations.SuggestConversationSummary][google.cloud.dialogflow.v2.Conversations.SuggestConversationSummary].

Return type

google.cloud.dialogflow_v2.types.SuggestConversationSummaryResponse

property transport: google.cloud.dialogflow_v2.services.conversations.transports.base.ConversationsTransport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

ConversationsTransport

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_v2.services.conversations.pagers.ListConversationsAsyncPager(method: Callable[[...], Awaitable[google.cloud.dialogflow_v2.types.conversation.ListConversationsResponse]], request: google.cloud.dialogflow_v2.types.conversation.ListConversationsRequest, response: google.cloud.dialogflow_v2.types.conversation.ListConversationsResponse, *, 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]] = ())[source]¶

A pager for iterating through list_conversations requests.

This class thinly wraps an initial google.cloud.dialogflow_v2.types.ListConversationsResponse object, and provides an __aiter__ method to iterate through its conversations field.

If there are more pages, the __aiter__ method will make additional ListConversations requests and continue to iterate through the conversations field on the corresponding responses.

All the usual google.cloud.dialogflow_v2.types.ListConversationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dialogflow_v2.types.ListConversationsRequest) – The initial request object.
response (google.cloud.dialogflow_v2.types.ListConversationsResponse) – The initial response object.
retry (google.api_core.retry.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.

class google.cloud.dialogflow_v2.services.conversations.pagers.ListConversationsPager(method: Callable[[...], google.cloud.dialogflow_v2.types.conversation.ListConversationsResponse], request: google.cloud.dialogflow_v2.types.conversation.ListConversationsRequest, response: google.cloud.dialogflow_v2.types.conversation.ListConversationsResponse, *, 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]] = ())[source]¶

A pager for iterating through list_conversations requests.

This class thinly wraps an initial google.cloud.dialogflow_v2.types.ListConversationsResponse object, and provides an __iter__ method to iterate through its conversations field.

If there are more pages, the __iter__ method will make additional ListConversations requests and continue to iterate through the conversations field on the corresponding responses.

All the usual google.cloud.dialogflow_v2.types.ListConversationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dialogflow_v2.types.ListConversationsRequest) – The initial request object.
response (google.cloud.dialogflow_v2.types.ListConversationsResponse) – The initial response object.
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.

class google.cloud.dialogflow_v2.services.conversations.pagers.ListMessagesAsyncPager(method: Callable[[...], Awaitable[google.cloud.dialogflow_v2.types.conversation.ListMessagesResponse]], request: google.cloud.dialogflow_v2.types.conversation.ListMessagesRequest, response: google.cloud.dialogflow_v2.types.conversation.ListMessagesResponse, *, 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]] = ())[source]¶

A pager for iterating through list_messages requests.

This class thinly wraps an initial google.cloud.dialogflow_v2.types.ListMessagesResponse object, and provides an __aiter__ method to iterate through its messages field.

If there are more pages, the __aiter__ method will make additional ListMessages requests and continue to iterate through the messages field on the corresponding responses.

All the usual google.cloud.dialogflow_v2.types.ListMessagesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dialogflow_v2.types.ListMessagesRequest) – The initial request object.
response (google.cloud.dialogflow_v2.types.ListMessagesResponse) – The initial response object.
retry (google.api_core.retry.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.

class google.cloud.dialogflow_v2.services.conversations.pagers.ListMessagesPager(method: Callable[[...], google.cloud.dialogflow_v2.types.conversation.ListMessagesResponse], request: google.cloud.dialogflow_v2.types.conversation.ListMessagesRequest, response: google.cloud.dialogflow_v2.types.conversation.ListMessagesResponse, *, 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]] = ())[source]¶

A pager for iterating through list_messages requests.

This class thinly wraps an initial google.cloud.dialogflow_v2.types.ListMessagesResponse object, and provides an __iter__ method to iterate through its messages field.

If there are more pages, the __iter__ method will make additional ListMessages requests and continue to iterate through the messages field on the corresponding responses.

All the usual google.cloud.dialogflow_v2.types.ListMessagesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dialogflow_v2.types.ListMessagesRequest) – The initial request object.
response (google.cloud.dialogflow_v2.types.ListMessagesResponse) – The initial response object.
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.

Conversations¶

google-cloud-dialogflow

Navigation

Related Topics