Class ConversationsClient (2.14.0)

ConversationsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2beta1.services.conversations.transports.base.ConversationsTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service for managing Conversations.

Inheritance

builtins.object > ConversationsClient

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
ConversationsTransport	The transport used by the client instance.

Methods

ConversationsClient

ConversationsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2beta1.services.conversations.transports.base.ConversationsTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the conversations client.

Parameters

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

Exceptions

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

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

batch_create_messages

batch_create_messages(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation.BatchCreateMessagesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Batch ingests messages to conversation. Customers can use this RPC to ingest historical messages to conversation.

from google.cloud import dialogflow_v2beta1

def sample_batch_create_messages():
    # Create a client
    client = dialogflow_v2beta1.ConversationsClient()

    # Initialize request argument(s)
    requests = dialogflow_v2beta1.CreateMessageRequest()
    requests.parent = "parent_value"
    requests.message.content = "content_value"

    request = dialogflow_v2beta1.BatchCreateMessagesRequest(
        parent="parent_value",
        requests=requests,
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2beta1.types.BatchCreateMessagesRequest, dict]` The request object. The request message for [Conversations.BatchCreateMessagesRequest][].
parent	`str` Required. Resource identifier of the conversation to create message. 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

Type	Description
google.cloud.dialogflow_v2beta1.types.BatchCreateMessagesResponse	The request message for [Conversations.BatchCreateMessagesResponse][].

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

complete_conversation

complete_conversation(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation.CompleteConversationRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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

from google.cloud import dialogflow_v2beta1

def sample_complete_conversation():
    # Create a client
    client = dialogflow_v2beta1.ConversationsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2beta1.types.CompleteConversationRequest, dict]` The request object. The request message for 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

Type	Description
google.cloud.dialogflow_v2beta1.types.Conversation	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.

conversation_path

conversation_path(project: str, conversation: str)

Returns a fully-qualified conversation string.

conversation_profile_path

conversation_profile_path(project: str, conversation_profile: str)

Returns a fully-qualified conversation_profile string.

create_conversation

create_conversation(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation.CreateConversationRequest, dict]] = None, *, parent: Optional[str] = None, conversation: Optional[google.cloud.dialogflow_v2beta1.types.conversation.Conversation] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a 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 xref_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 xref_Intent with xref_Intent.live_agent_handoff is triggered, conversation will transfer to Assist Stage.

from google.cloud import dialogflow_v2beta1

def sample_create_conversation():
    # Create a client
    client = dialogflow_v2beta1.ConversationsClient()

    # Initialize request argument(s)
    conversation = dialogflow_v2beta1.Conversation()
    conversation.conversation_profile = "conversation_profile_value"

    request = dialogflow_v2beta1.CreateConversationRequest(
        parent="parent_value",
        conversation=conversation,
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2beta1.types.CreateConversationRequest, dict]` The request object. The request message for 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_v2beta1.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

Type	Description
google.cloud.dialogflow_v2beta1.types.Conversation	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.

from_service_account_file

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

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

Parameter

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

Returns

Type	Description
ConversationsClient	The constructed client.

from_service_account_info

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

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

Parameter

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

Returns

Type	Description
ConversationsClient	The constructed client.

from_service_account_json

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

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

Parameter

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

Returns

Type	Description
ConversationsClient	The constructed client.

get_conversation

get_conversation(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation.GetConversationRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves the specific conversation.

from google.cloud import dialogflow_v2beta1

def sample_get_conversation():
    # Create a client
    client = dialogflow_v2beta1.ConversationsClient()

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2beta1.types.GetConversationRequest, dict]` The request object. The request message for 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

Type	Description
google.cloud.dialogflow_v2beta1.types.Conversation	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.

get_mtls_endpoint_and_cert_source

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

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

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

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

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

Parameter

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

Exceptions

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

Returns

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

list_conversations

list_conversations(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation.ListConversationsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Returns the list of all conversations in the specified project.

from google.cloud import dialogflow_v2beta1

def sample_list_conversations():
    # Create a client
    client = dialogflow_v2beta1.ConversationsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.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

Name	Description
request	`Union[google.cloud.dialogflow_v2beta1.types.ListConversationsRequest, dict]` The request object. The request message for 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

Type	Description
google.cloud.dialogflow_v2beta1.services.conversations.pagers.ListConversationsPager	The response message for Conversations.ListConversations. Iterating over this object will yield results and resolve additional pages automatically.

list_messages

list_messages(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.conversation.ListMessagesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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.

from google.cloud import dialogflow_v2beta1

def sample_list_messages():
    # Create a client
    client = dialogflow_v2beta1.ConversationsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.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

Name	Description
request	`Union[google.cloud.dialogflow_v2beta1.types.ListMessagesRequest, dict]` The request object. The request message for 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

Type	Description
google.cloud.dialogflow_v2beta1.services.conversations.pagers.ListMessagesPager	The response message for Conversations.ListMessages. Iterating over this object will yield results and resolve additional pages automatically.

message_path

message_path(project: str, conversation: str, message: str)

Returns a fully-qualified message string.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_conversation_path

parse_conversation_path(path: str)

Parses a conversation path into its component segments.

parse_conversation_profile_path

parse_conversation_profile_path(path: str)

Parses a conversation_profile path into its component segments.

parse_message_path

parse_message_path(path: str)

Parses a message path into its component segments.