Class AgentsClient (0.7.2)

AgentsClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Agents are best described as Natural Language Understanding (NLU) modules that transform user requests into actionable data. You can include agents in your app, product, or service to determine user intent and respond to the user in a natural way.

After you create an agent, you can add Intents, Contexts, Entity Types, Webhooks, and so on to manage the flow of a conversation and match user input to predefined intents and actions.

You can create an agent using both Dialogflow Standard Edition and Dialogflow Enterprise Edition. For details, see Dialogflow Editions <https://cloud.google.com/dialogflow/docs/editions>__.

You can save your agent for backup or versioning by exporting the agent by using the ExportAgent method. You can import a saved agent by using the ImportAgent method.

Dialogflow provides several prebuilt agents <https://cloud.google.com/dialogflow/docs/agents-prebuilt>__ for common conversation scenarios such as determining a date and time, converting currency, and so on.

For more information about agents, see the Dialogflow documentation <https://cloud.google.com/dialogflow/docs/agents-overview>__.

Methods

AgentsClient

AgentsClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Constructor.

Parameters
Name	Description
`channel`	`grpc.Channel` DEPRECATED. A `Channel` instance through which to make calls. This argument is mutually exclusive with `credentials`; providing both will raise an exception.
`credentials`	`google.auth.credentials.Credentials` The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to `transport`; doing so will raise an exception.
`client_config`	`dict` DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is 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.
`client_options`	`Union[dict, google.api_core.client_options.ClientOptions]` Client options used to set user options on the client. API Endpoint should be set through client_options.

delete_agent

delete_agent(parent, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Deletes the specified agent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.AgentsClient()

parent = client.project_path('[PROJECT]')

client.delete_agent(parent)

Parameters
Name	Description
`parent`	`str` Required. The project that the agent to delete is associated with. Format: `projects/`.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will be retried using a default configuration.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

export_agent

export_agent(parent, agent_uri=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Exports the specified agent to a ZIP file.

Operation <response: ExportAgentResponse>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.AgentsClient()

parent = client.project_path('[PROJECT]')

response = client.export_agent(parent)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
Name	Description
`parent`	`str` Required. The project that the agent to export is associated with. Format: `projects/`.
`agent_uri`	`str` Required. The `Google Cloud Storage https://cloud.google.com/storage/docs/`__ URI to export the agent to. The format of this URI must be `gs://`. If left unspecified, the serialized agent is returned inline.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will be retried using a default configuration.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

from_service_account_file

from_service_account_file(filename, *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
`dialogflow_v2.AgentsClient`	The constructed client.

from_service_account_json

from_service_account_json(filename, *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
`dialogflow_v2.AgentsClient`	The constructed client.

get_agent

get_agent(parent, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Retrieves the specified agent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.AgentsClient()

parent = client.project_path('[PROJECT]')

response = client.get_agent(parent)

Parameters
Name	Description
`parent`	`str` Required. The project that the agent to fetch is associated with. Format: `projects/`.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will be retried using a default configuration.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

import_agent

import_agent(parent, agent_uri=None, agent_content=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Imports the specified agent from a ZIP file.

Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from ImportAgentRequest.

Operation <response: google.protobuf.Empty>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.AgentsClient()

parent = client.project_path('[PROJECT]')

response = client.import_agent(parent)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
Name	Description
`parent`	`str` Required. The project that the agent to import is associated with. Format: `projects/`.
`agent_uri`	`str` The URI to a Google Cloud Storage file containing the agent to import. Note: The URI must start with "gs://".
`agent_content`	`bytes` Zip compressed raw byte content for agent.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will be retried using a default configuration.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

project_path

project_path(project)

Return a fully-qualified project string.

restore_agent

restore_agent(parent, agent_uri=None, agent_content=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Restores the specified agent from a ZIP file.

Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted.

Operation <response: google.protobuf.Empty>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.AgentsClient()

parent = client.project_path('[PROJECT]')

response = client.restore_agent(parent)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
Name	Description
`parent`	`str` Required. The project that the agent to restore is associated with. Format: `projects/`.
`agent_uri`	`str` The URI to a Google Cloud Storage file containing the agent to restore. Note: The URI must start with "gs://".
`agent_content`	`bytes` Zip compressed raw byte content for agent.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will be retried using a default configuration.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

search_agents

search_agents(parent, page_size=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Returns the list of agents.

Since there is at most one conversational agent per project, this method is useful primarily for listing all agents across projects the caller has access to. One can achieve that with a wildcard project collection id "-". Refer to List Sub-Collections <https://cloud.google.com/apis/design/design_patterns#list_sub-collections>__.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.AgentsClient()

parent = client.project_path('[PROJECT]')

Iterate over all results

for element in client.search_agents(parent): ... # process element ... pass

Alternatively:

Iterate over results one page at a time

for page in client.search_agents(parent).pages: ... for element in page: ... # process element ... pass

Parameters
Name	Description
`parent`	`str` Required. The project to list agents from. Format: `projects/<Project ID or '-'>`.
`page_size`	`int` The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will be retried using a default configuration.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

set_agent

set_agent(agent, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Creates/updates the specified agent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.AgentsClient()

TODO: Initialize agent:

agent = {}

response = client.set_agent(agent)

Parameters
Name	Description
`agent`	`Union[dict, Agent]` Required. The agent to update. If a dict is provided, it must be of the same form as the protobuf message Agent
`update_mask`	`Union[dict, FieldMask]` Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will be retried using a default configuration.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

train_agent

train_agent(parent, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Trains the specified agent.

Operation <response: google.protobuf.Empty>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.AgentsClient()

parent = client.project_path('[PROJECT]')

response = client.train_agent(parent)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
Name	Description
`parent`	`str` Required. The project that the agent to train is associated with. Format: `projects/`.
`retry`	`Optional[google.api_core.retry.Retry]` A retry object used to retry requests. If `None` is specified, requests will be retried using a default configuration.
`timeout`	`Optional[float]` The amount of time, in seconds, to wait for the request to complete. Note that if `retry` is specified, the timeout applies to each individual attempt.
`metadata`	`Optional[Sequence[Tuple[str, str]]]` Additional metadata that is provided to the method.

Exceptions
Type	Description
`google.api_core.exceptions.GoogleAPICallError`	If the request failed for any reason.
`google.api_core.exceptions.RetryError`	If the request failed due to a retryable error and retry attempts failed.
`ValueError`	If the parameters are invalid.

Class AgentsClient (0.7.2)

Methods

AgentsClient

delete_agent

export_agent

Handle metadata.

from_service_account_file

from_service_account_json

get_agent

import_agent

Handle metadata.

project_path

restore_agent

Handle metadata.

search_agents

Iterate over all results

Alternatively:

Iterate over results one page at a time

set_agent

TODO: Initialize agent:

train_agent

Handle metadata.

TODO: Initialize `agent`: