ParticipantsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2.services.participants.transports.base.ParticipantsTransport, typing.Callable[[...], google.cloud.dialogflow_v2.services.participants.transports.base.ParticipantsTransport]]] = 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>)
Service for managing Participants.
Properties
api_endpoint
Return the API endpoint used by the client instance.
Returns | |
---|---|
Type | Description |
str |
The API endpoint used by the client instance. |
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
ParticipantsTransport |
The transport used by the client instance. |
universe_domain
Return the universe domain used by the client instance.
Returns | |
---|---|
Type | Description |
str |
The universe domain used by the client instance. |
Methods
ParticipantsClient
ParticipantsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2.services.participants.transports.base.ParticipantsTransport, typing.Callable[[...], google.cloud.dialogflow_v2.services.participants.transports.base.ParticipantsTransport]]] = 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>)
Instantiates the participants 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 |
Optional[Union[str,ParticipantsTransport,Callable[..., ParticipantsTransport]]]
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 ParticipantsTransport 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 |
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 |
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.
analyze_content
analyze_content(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.participant.AnalyzeContentRequest, dict
]
] = None,
*,
participant: typing.Optional[str] = None,
text_input: typing.Optional[
google.cloud.dialogflow_v2.types.session.TextInput
] = None,
event_input: typing.Optional[
google.cloud.dialogflow_v2.types.session.EventInput
] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2.types.participant.AnalyzeContentResponse
Adds a text (chat, for example), or audio (phone recording, for example) message from a participant into the conversation.
Note: Always use agent versions for production traffic sent to
virtual agents. See Versions and
environments <https://cloud.google.com/dialogflow/es/docs/agents-versions>
__.
# 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_analyze_content():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
text_input = dialogflow_v2.TextInput()
text_input.text = "text_value"
text_input.language_code = "language_code_value"
request = dialogflow_v2.AnalyzeContentRequest(
text_input=text_input,
participant="participant_value",
)
# Make the request
response = client.analyze_content(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.AnalyzeContentRequest, dict]
The request object. The request message for Participants.AnalyzeContent. |
participant |
str
Required. The name of the participant this text comes from. Format: |
text_input |
google.cloud.dialogflow_v2.types.TextInput
The natural language text to be processed. This corresponds to the |
event_input |
google.cloud.dialogflow_v2.types.EventInput
An input event to send to Dialogflow. This corresponds to the |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.AnalyzeContentResponse |
The response message for Participants.AnalyzeContent. |
answer_record_path
answer_record_path(project: str, answer_record: str) -> str
Returns a fully-qualified answer_record string.
cancel_operation
cancel_operation(
request: typing.Optional[
google.longrunning.operations_pb2.CancelOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None
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 | |
---|---|
Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
common_billing_account_path
common_billing_account_path(billing_account: str) -> str
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str) -> str
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str) -> str
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str) -> str
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str) -> str
Returns a fully-qualified project string.
context_path
context_path(project: str, session: str, context: str) -> str
Returns a fully-qualified context string.
create_participant
create_participant(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.participant.CreateParticipantRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
participant: typing.Optional[
google.cloud.dialogflow_v2.types.participant.Participant
] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2.types.participant.Participant
Creates a new participant in a 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_create_participant():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
request = dialogflow_v2.CreateParticipantRequest(
parent="parent_value",
)
# Make the request
response = client.create_participant(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.CreateParticipantRequest, dict]
The request object. The request message for Participants.CreateParticipant. |
parent |
str
Required. Resource identifier of the conversation adding the participant. Format: |
participant |
google.cloud.dialogflow_v2.types.Participant
Required. The participant to create. This corresponds to the |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.Participant |
Represents a conversation participant (human agent, virtual agent, end-user). |
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 |
ParticipantsClient |
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 |
ParticipantsClient |
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 |
ParticipantsClient |
The constructed client. |
get_location
get_location(
request: typing.Optional[
google.cloud.location.locations_pb2.GetLocationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.location.locations_pb2.Location
Gets information about a location.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
|
Location object. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: typing.Optional[
google.api_core.client_options.ClientOptions
] = None,
)
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.
Parameter | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError |
If any errors happen. |
Returns | |
---|---|
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] |
returns the API endpoint and the client cert source to use. |
get_operation
get_operation(
request: typing.Optional[
google.longrunning.operations_pb2.GetOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.Operation
Gets the latest state of a long-running operation.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
|
An Operation object. |
get_participant
get_participant(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.participant.GetParticipantRequest, dict
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2.types.participant.Participant
Retrieves a conversation participant.
# 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_participant():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
request = dialogflow_v2.GetParticipantRequest(
name="name_value",
)
# Make the request
response = client.get_participant(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.GetParticipantRequest, dict]
The request object. The request message for Participants.GetParticipant. |
name |
str
Required. The name of the participant. Format: |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.Participant |
Represents a conversation participant (human agent, virtual agent, end-user). |
intent_path
intent_path(project: str, intent: str) -> str
Returns a fully-qualified intent string.
list_locations
list_locations(
request: typing.Optional[
google.cloud.location.locations_pb2.ListLocationsRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse
Lists information about the supported locations for this service.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
|
Response message for ListLocations method. |
list_operations
list_operations(
request: typing.Optional[
google.longrunning.operations_pb2.ListOperationsRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse
Lists operations that match the specified filter in the request.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
|
Response message for ListOperations method. |
list_participants
list_participants(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.participant.ListParticipantsRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2.services.participants.pagers.ListParticipantsPager
Returns the list of all participants in the specified 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_list_participants():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
request = dialogflow_v2.ListParticipantsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_participants(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.ListParticipantsRequest, dict]
The request object. The request message for Participants.ListParticipants. |
parent |
str
Required. The conversation to list all participants from. Format: |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.services.participants.pagers.ListParticipantsPager |
The response message for Participants.ListParticipants. Iterating over this object will yield results and resolve additional pages automatically. |
message_path
message_path(project: str, conversation: str, message: str) -> str
Returns a fully-qualified message string.
parse_answer_record_path
parse_answer_record_path(path: str) -> typing.Dict[str, str]
Parses a answer_record path into its component segments.
parse_common_billing_account_path
parse_common_billing_account_path(path: str) -> typing.Dict[str, str]
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str) -> typing.Dict[str, str]
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str) -> typing.Dict[str, str]
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str) -> typing.Dict[str, str]
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str) -> typing.Dict[str, str]
Parse a project path into its component segments.
parse_context_path
parse_context_path(path: str) -> typing.Dict[str, str]
Parses a context path into its component segments.
parse_intent_path
parse_intent_path(path: str) -> typing.Dict[str, str]
Parses a intent path into its component segments.
parse_message_path
parse_message_path(path: str) -> typing.Dict[str, str]
Parses a message path into its component segments.
parse_participant_path
parse_participant_path(path: str) -> typing.Dict[str, str]
Parses a participant path into its component segments.
parse_phrase_set_path
parse_phrase_set_path(path: str) -> typing.Dict[str, str]
Parses a phrase_set path into its component segments.
parse_session_entity_type_path
parse_session_entity_type_path(path: str) -> typing.Dict[str, str]
Parses a session_entity_type path into its component segments.
participant_path
participant_path(project: str, conversation: str, participant: str) -> str
Returns a fully-qualified participant string.
phrase_set_path
phrase_set_path(project: str, location: str, phrase_set: str) -> str
Returns a fully-qualified phrase_set string.
session_entity_type_path
session_entity_type_path(project: str, session: str, entity_type: str) -> str
Returns a fully-qualified session_entity_type string.
streaming_analyze_content
streaming_analyze_content(
requests: typing.Optional[
typing.Iterator[
google.cloud.dialogflow_v2.types.participant.StreamingAnalyzeContentRequest
]
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> typing.Iterable[
google.cloud.dialogflow_v2.types.participant.StreamingAnalyzeContentResponse
]
Adds a text (chat, for example), or audio (phone recording, for example) message from a participant into the conversation. Note: This method is only available through the gRPC API (not REST).
The top-level message sent to the client by the server is
StreamingAnalyzeContentResponse
. Multiple response messages
can be returned in order. The first one or more messages contain
the recognition_result
field. Each result represents a more
complete transcript of what the user said. The next message
contains the reply_text
field and potentially the
reply_audio
field. The message can also contain the
automated_agent_reply
field.
Note: Always use agent versions for production traffic sent to
virtual agents. See Versions and
environments <https://cloud.google.com/dialogflow/es/docs/agents-versions>
__.
# 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_streaming_analyze_content():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
audio_config = dialogflow_v2.InputAudioConfig()
audio_config.audio_encoding = "AUDIO_ENCODING_ALAW"
audio_config.sample_rate_hertz = 1817
audio_config.language_code = "language_code_value"
request = dialogflow_v2.StreamingAnalyzeContentRequest(
audio_config=audio_config,
input_audio=b'input_audio_blob',
participant="participant_value",
)
# This method expects an iterator which contains
# 'dialogflow_v2.StreamingAnalyzeContentRequest' objects
# Here we create a generator that yields a single `request` for
# demonstrative purposes.
requests = [request]
def request_generator():
for request in requests:
yield request
# Make the request
stream = client.streaming_analyze_content(requests=request_generator())
# Handle the response
for response in stream:
print(response)
Parameters | |
---|---|
Name | Description |
requests |
Iterator[google.cloud.dialogflow_v2.types.StreamingAnalyzeContentRequest]
The request object iterator. The top-level message sent by the client to the Participants.StreamingAnalyzeContent method. Multiple request messages should be sent in order: 1. The first message must contain participant, config and optionally query_params. If you want to receive an audio response, it should also contain reply_audio_config. The message must not contain input. 2. If config in the first message was set to audio_config, all subsequent messages must contain input_audio to continue with Speech recognition. However, note that: - Dialogflow will bill you for the audio so far. - Dialogflow discards all Speech recognition results in favor of the text input. 3. If StreamingAnalyzeContentRequest.config in the first message was set to StreamingAnalyzeContentRequest.text_config, then the second message must contain only input_text. Moreover, you must not send more than two messages. After you sent all input, you must half-close or abort the request stream. |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
Iterable[google.cloud.dialogflow_v2.types.StreamingAnalyzeContentResponse] |
The top-level message returned from the StreamingAnalyzeContent method. Multiple response messages can be returned in order: 1. If the input was set to streaming audio, the first one or more messages contain recognition_result. Each recognition_result represents a more complete transcript of what the user said. The last recognition_result has is_final set to true. 2. In virtual agent stage: if enable_partial_automated_agent_reply is true, the following N (currently 1 <= n=""><= 4)="" messages="" contain="" automated_agent_reply="" and="" optionally="" reply_audio="" returned="" by="" the="" virtual="" agent.="" the="" first="" (n-1)="" automated_agent_replys="" will="" have="" automated_agent_reply_type="" set="" to="" partial.="" the="" last="" automated_agent_reply="" has="" automated_agent_reply_type="" set="" to="" final.="" if="" enable_partial_automated_agent_reply="" is="" not="" enabled,="" response="" stream="" only="" contains="" the="" final="" reply.="" in="" human="" assist="" stage:="" the="" following="" n="" (n="">= 1) messages contain human_agent_suggestion_results, end_user_suggestion_results or message. |
suggest_articles
suggest_articles(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.participant.SuggestArticlesRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2.types.participant.SuggestArticlesResponse
Gets suggested articles for a participant based on specific historical messages.
# 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_articles():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
request = dialogflow_v2.SuggestArticlesRequest(
parent="parent_value",
)
# Make the request
response = client.suggest_articles(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.SuggestArticlesRequest, dict]
The request object. The request message for Participants.SuggestArticles. |
parent |
str
Required. The name of the participant to fetch suggestion for. Format: |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.SuggestArticlesResponse |
The response message for Participants.SuggestArticles. |
suggest_faq_answers
suggest_faq_answers(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.participant.SuggestFaqAnswersRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2.types.participant.SuggestFaqAnswersResponse
Gets suggested faq answers for a participant based on specific historical messages.
# 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_faq_answers():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
request = dialogflow_v2.SuggestFaqAnswersRequest(
parent="parent_value",
)
# Make the request
response = client.suggest_faq_answers(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.SuggestFaqAnswersRequest, dict]
The request object. The request message for Participants.SuggestFaqAnswers. |
parent |
str
Required. The name of the participant to fetch suggestion for. Format: |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.SuggestFaqAnswersResponse |
The request message for Participants.SuggestFaqAnswers. |
suggest_knowledge_assist
suggest_knowledge_assist(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.participant.SuggestKnowledgeAssistRequest,
dict,
]
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2.types.participant.SuggestKnowledgeAssistResponse
Gets knowledge assist suggestions based on historical messages.
# 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_knowledge_assist():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
request = dialogflow_v2.SuggestKnowledgeAssistRequest(
parent="parent_value",
)
# Make the request
response = client.suggest_knowledge_assist(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.SuggestKnowledgeAssistRequest, dict]
The request object. The request message for Participants.SuggestKnowledgeAssist. |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.SuggestKnowledgeAssistResponse |
The response message for Participants.SuggestKnowledgeAssist. |
suggest_smart_replies
suggest_smart_replies(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.participant.SuggestSmartRepliesRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2.types.participant.SuggestSmartRepliesResponse
Gets smart replies for a participant based on specific historical messages.
# 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_smart_replies():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
request = dialogflow_v2.SuggestSmartRepliesRequest(
parent="parent_value",
)
# Make the request
response = client.suggest_smart_replies(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.SuggestSmartRepliesRequest, dict]
The request object. The request message for Participants.SuggestSmartReplies. |
parent |
str
Required. The name of the participant to fetch suggestion for. Format: |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.SuggestSmartRepliesResponse |
The response message for Participants.SuggestSmartReplies. |
update_participant
update_participant(
request: typing.Optional[
typing.Union[
google.cloud.dialogflow_v2.types.participant.UpdateParticipantRequest, dict
]
] = None,
*,
participant: typing.Optional[
google.cloud.dialogflow_v2.types.participant.Participant
] = None,
update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.dialogflow_v2.types.participant.Participant
Updates the specified participant.
# 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_update_participant():
# Create a client
client = dialogflow_v2.ParticipantsClient()
# Initialize request argument(s)
request = dialogflow_v2.UpdateParticipantRequest(
)
# Make the request
response = client.update_participant(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.UpdateParticipantRequest, dict]
The request object. The request message for Participants.UpdateParticipant. |
participant |
google.cloud.dialogflow_v2.types.Participant
Required. The participant to update. This corresponds to the |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
Required. The mask to specify which fields to update. This corresponds to the |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.Participant |
Represents a conversation participant (human agent, virtual agent, end-user). |