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PlaybooksClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflowcx_v3beta1.services.playbooks.transports.base.PlaybooksTransport, typing.Callable[[...], google.cloud.dialogflowcx_v3beta1.services.playbooks.transports.base.PlaybooksTransport]]] = 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 Playbooks.
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 |
PlaybooksTransport |
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
PlaybooksClient
PlaybooksClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflowcx_v3beta1.services.playbooks.transports.base.PlaybooksTransport, typing.Callable[[...], google.cloud.dialogflowcx_v3beta1.services.playbooks.transports.base.PlaybooksTransport]]] = 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 playbooks 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,PlaybooksTransport,Callable[..., PlaybooksTransport]]]
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 PlaybooksTransport 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.
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, str]] = ()
) -> 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, str]]
Strings which should be sent along with the request as metadata. |
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.
create_playbook
create_playbook(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3beta1.types.playbook.CreatePlaybookRequest, dict
]
] = None,
*,
parent: typing.Optional[str] = None,
playbook: typing.Optional[
google.cloud.dialogflowcx_v3beta1.types.playbook.Playbook
] = 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, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.playbook.Playbook
Creates a playbook in a specified agent.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflowcx_v3beta1
def sample_create_playbook():
# Create a client
client = dialogflowcx_v3beta1.PlaybooksClient()
# Initialize request argument(s)
playbook = dialogflowcx_v3beta1.Playbook()
playbook.display_name = "display_name_value"
playbook.goal = "goal_value"
request = dialogflowcx_v3beta1.CreatePlaybookRequest(
parent="parent_value",
playbook=playbook,
)
# Make the request
response = client.create_playbook(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3beta1.types.CreatePlaybookRequest, dict]
The request object. The request message for Playbooks.CreatePlaybook. |
parent |
str
Required. The agent to create a playbook for. Format: |
playbook |
google.cloud.dialogflowcx_v3beta1.types.Playbook
Required. The playbook 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3beta1.types.Playbook |
Playbook is the basic building block to instruct the LLM how to execute a certain task. A playbook consists of a goal to accomplish, an optional list of step by step instructions (the step instruction may refers to name of the custom or default plugin tools to use) to perform the task, a list of contextual input data to be passed in at the beginning of the invoked, and a list of output parameters to store the playbook result. |
create_playbook_version
create_playbook_version(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3beta1.types.playbook.CreatePlaybookVersionRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
playbook_version: typing.Optional[
google.cloud.dialogflowcx_v3beta1.types.playbook.PlaybookVersion
] = 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, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.playbook.PlaybookVersion
Creates a version for the specified Playbook.
# 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 dialogflowcx_v3beta1
def sample_create_playbook_version():
# Create a client
client = dialogflowcx_v3beta1.PlaybooksClient()
# Initialize request argument(s)
request = dialogflowcx_v3beta1.CreatePlaybookVersionRequest(
parent="parent_value",
)
# Make the request
response = client.create_playbook_version(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3beta1.types.CreatePlaybookVersionRequest, dict]
The request object. The request message for Playbooks.CreatePlaybookVersion. |
parent |
str
Required. The playbook to create a version for. Format: |
playbook_version |
google.cloud.dialogflowcx_v3beta1.types.PlaybookVersion
Required. The playbook version 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3beta1.types.PlaybookVersion |
Playbook version is a snapshot of the playbook at certain timestamp. |
delete_playbook
delete_playbook(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3beta1.types.playbook.DeletePlaybookRequest, 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, str]] = ()
) -> None
Deletes a specified playbook.
# 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 dialogflowcx_v3beta1
def sample_delete_playbook():
# Create a client
client = dialogflowcx_v3beta1.PlaybooksClient()
# Initialize request argument(s)
request = dialogflowcx_v3beta1.DeletePlaybookRequest(
name="name_value",
)
# Make the request
client.delete_playbook(request=request)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3beta1.types.DeletePlaybookRequest, dict]
The request object. The request message for Playbooks.DeletePlaybook. |
name |
str
Required. The name of the playbook to delete. 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, str]]
Strings which should be sent along with the request as metadata. |
delete_playbook_version
delete_playbook_version(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3beta1.types.playbook.DeletePlaybookVersionRequest,
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, str]] = ()
) -> None
Deletes the specified version of the Playbook.
# 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 dialogflowcx_v3beta1
def sample_delete_playbook_version():
# Create a client
client = dialogflowcx_v3beta1.PlaybooksClient()
# Initialize request argument(s)
request = dialogflowcx_v3beta1.DeletePlaybookVersionRequest(
name="name_value",
)
# Make the request
client.delete_playbook_version(request=request)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3beta1.types.DeletePlaybookVersionRequest, dict]
The request object. The request message for Playbooks.DeletePlaybookVersion. |
name |
str
Required. The name of the playbook version to delete. 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, str]]
Strings which should be sent along with the request as metadata. |
example_path
example_path(
project: str, location: str, agent: str, playbook: str, example: str
) -> str
Returns a fully-qualified example string.
flow_path
flow_path(project: str, location: str, agent: str, flow: str) -> str
Returns a fully-qualified flow string.
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
PlaybooksClient |
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 |
PlaybooksClient |
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 |
PlaybooksClient |
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, str]] = ()
) -> 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, str]]
Strings which should be sent along with the request as metadata. |
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, str]] = ()
) -> 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
|
An Operation object. |
get_playbook
get_playbook(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3beta1.types.playbook.GetPlaybookRequest, 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, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.playbook.Playbook
Retrieves the specified Playbook.
# 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 dialogflowcx_v3beta1
def sample_get_playbook():
# Create a client
client = dialogflowcx_v3beta1.PlaybooksClient()
# Initialize request argument(s)
request = dialogflowcx_v3beta1.GetPlaybookRequest(
name="name_value",
)
# Make the request
response = client.get_playbook(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3beta1.types.GetPlaybookRequest, dict]
The request object. The request message for Playbooks.GetPlaybook. |
name |
str
Required. The name of the playbook. 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3beta1.types.Playbook |
Playbook is the basic building block to instruct the LLM how to execute a certain task. A playbook consists of a goal to accomplish, an optional list of step by step instructions (the step instruction may refers to name of the custom or default plugin tools to use) to perform the task, a list of contextual input data to be passed in at the beginning of the invoked, and a list of output parameters to store the playbook result. |
get_playbook_version
get_playbook_version(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3beta1.types.playbook.GetPlaybookVersionRequest,
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, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.playbook.PlaybookVersion
Retrieves the specified version of the Playbook.
# 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 dialogflowcx_v3beta1
def sample_get_playbook_version():
# Create a client
client = dialogflowcx_v3beta1.PlaybooksClient()
# Initialize request argument(s)
request = dialogflowcx_v3beta1.GetPlaybookVersionRequest(
name="name_value",
)
# Make the request
response = client.get_playbook_version(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3beta1.types.GetPlaybookVersionRequest, dict]
The request object. The request message for Playbooks.GetPlaybookVersion. |
name |
str
Required. The name of the playbook version. 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3beta1.types.PlaybookVersion |
Playbook version is a snapshot of the playbook at certain timestamp. |
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, str]] = ()
) -> 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, str]]
Strings which should be sent along with the request as metadata. |
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, str]] = ()
) -> 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
|
Response message for ListOperations method. |
list_playbook_versions
list_playbook_versions(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3beta1.types.playbook.ListPlaybookVersionsRequest,
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, str]] = ()
) -> (
google.cloud.dialogflowcx_v3beta1.services.playbooks.pagers.ListPlaybookVersionsPager
)
Lists versions for the specified Playbook.
# 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 dialogflowcx_v3beta1
def sample_list_playbook_versions():
# Create a client
client = dialogflowcx_v3beta1.PlaybooksClient()
# Initialize request argument(s)
request = dialogflowcx_v3beta1.ListPlaybookVersionsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_playbook_versions(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3beta1.types.ListPlaybookVersionsRequest, dict]
The request object. The request message for Playbooks.ListPlaybookVersions. |
parent |
str
Required. The playbook to list versions 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3beta1.services.playbooks.pagers.ListPlaybookVersionsPager |
The response message for Playbooks.ListPlaybookVersions. Iterating over this object will yield results and resolve additional pages automatically. |
list_playbooks
list_playbooks(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3beta1.types.playbook.ListPlaybooksRequest, 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, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.services.playbooks.pagers.ListPlaybooksPager
Returns a list of playbooks in the specified agent.
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflowcx_v3beta1
def sample_list_playbooks():
# Create a client
client = dialogflowcx_v3beta1.PlaybooksClient()
# Initialize request argument(s)
request = dialogflowcx_v3beta1.ListPlaybooksRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_playbooks(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3beta1.types.ListPlaybooksRequest, dict]
The request object. The request message for Playbooks.ListPlaybooks. |
parent |
str
Required. The agent to list playbooks 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, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3beta1.services.playbooks.pagers.ListPlaybooksPager |
The response message for Playbooks.ListPlaybooks. Iterating over this object will yield results and resolve additional pages automatically. |
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_example_path
parse_example_path(path: str) -> typing.Dict[str, str]
Parses a example path into its component segments.
parse_flow_path
parse_flow_path(path: str) -> typing.Dict[str, str]
Parses a flow path into its component segments.
parse_playbook_path
parse_playbook_path(path: str) -> typing.Dict[str, str]
Parses a playbook path into its component segments.
parse_playbook_version_path
parse_playbook_version_path(path: str) -> typing.Dict[str, str]
Parses a playbook_version path into its component segments.
parse_tool_path
parse_tool_path(path: str) -> typing.Dict[str, str]
Parses a tool path into its component segments.
playbook_path
playbook_path(project: str, location: str, agent: str, playbook: str) -> str
Returns a fully-qualified playbook string.
playbook_version_path
playbook_version_path(
project: str, location: str, agent: str, playbook: str, version: str
) -> str
Returns a fully-qualified playbook_version string.
tool_path
tool_path(project: str, location: str, agent: str, tool: str) -> str
Returns a fully-qualified tool string.
update_playbook
update_playbook(
request: typing.Optional[
typing.Union[
google.cloud.dialogflowcx_v3beta1.types.playbook.UpdatePlaybookRequest, dict
]
] = None,
*,
playbook: typing.Optional[
google.cloud.dialogflowcx_v3beta1.types.playbook.Playbook
] = 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, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.playbook.Playbook
Updates the specified Playbook.
# 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 dialogflowcx_v3beta1
def sample_update_playbook():
# Create a client
client = dialogflowcx_v3beta1.PlaybooksClient()
# Initialize request argument(s)
playbook = dialogflowcx_v3beta1.Playbook()
playbook.display_name = "display_name_value"
playbook.goal = "goal_value"
request = dialogflowcx_v3beta1.UpdatePlaybookRequest(
playbook=playbook,
)
# Make the request
response = client.update_playbook(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3beta1.types.UpdatePlaybookRequest, dict]
The request object. The request message for Playbooks.UpdatePlaybook. |
playbook |
google.cloud.dialogflowcx_v3beta1.types.Playbook
Required. The playbook to update. This corresponds to the |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
The mask to control which fields get updated. If the mask is not present, all fields will be updated. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3beta1.types.Playbook |
Playbook is the basic building block to instruct the LLM how to execute a certain task. A playbook consists of a goal to accomplish, an optional list of step by step instructions (the step instruction may refers to name of the custom or default plugin tools to use) to perform the task, a list of contextual input data to be passed in at the beginning of the invoked, and a list of output parameters to store the playbook result. |