Class IntentsClient (1.0.0)

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

An intent represents a mapping between input from a user and an action to be taken by your application. When you pass user input to the DetectIntent (or StreamingDetectIntent) method, the Dialogflow API analyzes the input and searches for a matching intent. If no match is found, the Dialogflow API returns a fallback intent (is_fallback = true).

You can provide additional information for the Dialogflow API to use to match user input to an intent by adding the following to your intent.

Contexts - provide additional context for intent analysis. For example, if an intent is related to an object in your application that plays music, you can provide a context to determine when to match the intent if the user input is "turn it off". You can include a context that matches the intent when there is previous user input of "play music", and not when there is previous user input of "turn on the light".
Events - allow for matching an intent by using an event name instead of user input. Your application can provide an event name and related parameters to the Dialogflow API to match an intent. For example, when your application starts, you can send a welcome event with a user name parameter to the Dialogflow API to match an intent with a personalized welcome message for the user.
Training phrases - provide examples of user input to train the Dialogflow API agent to better match intents.

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

Methods

IntentsClient

IntentsClient(
    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.

agent_path

agent_path(project, agent)

Return a fully-qualified agent string.

batch_delete_intents

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

Deletes intents in the specified agent.

Operation <response: google.protobuf.Empty>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

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

TODO: Initialize intents:

intents = []

response = client.batch_delete_intents(parent, intents)

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 name of the agent to delete all entities types for. Format: `projects/`.
`intents`	`list[Union[dict, Intent]]` Required. The collection of intents to delete. Only intent `name` must be filled in. If a dict is provided, it must be of the same form as the protobuf message Intent
`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.

batch_update_intents

batch_update_intents(parent, intent_batch_uri=None, intent_batch_inline=None, language_code=None, update_mask=None, intent_view=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Updates/Creates multiple intents in the specified agent.

Operation <response: BatchUpdateIntentsResponse>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

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

response = client.batch_update_intents(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 name of the agent to update or create intents in. Format: `projects/`.
`intent_batch_uri`	`str` The URI to a Google Cloud Storage file containing intents to update or create. The file format can either be a serialized proto (of IntentBatch type) or JSON object. Note: The URI must start with "gs://".
`intent_batch_inline`	`Union[dict, IntentBatch]` The collection of intents to update or create. If a dict is provided, it must be of the same form as the protobuf message IntentBatch
`language_code`	`str` Optional. The language of training phrases, parameters and rich messages defined in `intents`. If not specified, the agent's default language is used. `Many languages https://cloud.google.com/dialogflow/docs/reference/language`__ are supported. Note: languages must be enabled in the agent before they can be used.
`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
`intent_view`	`IntentView` Optional. The resource view to apply to the returned intent.
`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.

create_intent

create_intent(parent, intent, language_code=None, intent_view=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Creates an intent in the specified agent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

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

TODO: Initialize intent:

intent = {}

response = client.create_intent(parent, intent)

Parameters
Name	Description
`parent`	`str` Required. The agent to create a intent for. Format: `projects/`.
`intent`	`Union[dict, Intent]` Required. The intent to create. If a dict is provided, it must be of the same form as the protobuf message Intent
`language_code`	`str` Optional. The language of training phrases, parameters and rich messages defined in `intent`. If not specified, the agent's default language is used. `Many languages https://cloud.google.com/dialogflow/docs/reference/language`__ are supported. Note: languages must be enabled in the agent before they can be used.
`intent_view`	`IntentView` Optional. The resource view to apply to the returned intent.
`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.

delete_intent

delete_intent(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Deletes the specified intent and its direct or indirect followup intents.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

name = client.intent_path('[PROJECT]', '[INTENT]')

client.delete_intent(name)

Parameters
Name	Description
`name`	`str` Required. The name of the intent to delete. If this intent has direct or indirect followup intents, we also delete them. 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.

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.IntentsClient`	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.IntentsClient`	The constructed client.

get_intent

get_intent(name, language_code=None, intent_view=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Retrieves the specified intent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

name = client.intent_path('[PROJECT]', '[INTENT]')

response = client.get_intent(name)

Parameters
Name	Description
`name`	`str` Required. The name of the intent. Format: `projects/`.
`language_code`	`str` Optional. The language to retrieve training phrases, parameters and rich messages for. If not specified, the agent's default language is used. `Many languages https://cloud.google.com/dialogflow/docs/reference/language`__ are supported. Note: languages must be enabled in the agent before they can be used.
`intent_view`	`IntentView` Optional. The resource view to apply to the returned intent.
`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.

intent_path

intent_path(project, intent)

Return a fully-qualified intent string.

list_intents

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

Returns the list of all intents in the specified agent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

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

Iterate over all results

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

Alternatively:

Iterate over results one page at a time

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

Parameters
Name	Description
`parent`	`str` Required. The agent to list all intents from. Format: `projects/`.
`language_code`	`str` Optional. The language to list training phrases, parameters and rich messages for. If not specified, the agent's default language is used. `Many languages https://cloud.google.com/dialogflow/docs/reference/language`__ are supported. Note: languages must be enabled in the agent before they can be used.
`intent_view`	`IntentView` Optional. The resource view to apply to the returned intent.
`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.

project_agent_path

project_agent_path(project)

Return a fully-qualified project_agent string.

update_intent

update_intent(intent, language_code=None, update_mask=None, intent_view=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Updates the specified intent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

TODO: Initialize intent:

intent = {}

response = client.update_intent(intent)

Parameters
Name	Description
`intent`	`Union[dict, Intent]` Required. The intent to update. If a dict is provided, it must be of the same form as the protobuf message Intent
`language_code`	`str` Optional. The language of training phrases, parameters and rich messages defined in `intent`. If not specified, the agent's default language is used. `Many languages https://cloud.google.com/dialogflow/docs/reference/language`__ are supported. Note: languages must be enabled in the agent before they can be used.
`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
`intent_view`	`IntentView` Optional. The resource view to apply to the returned intent.
`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 IntentsClient (1.0.0)

Methods

IntentsClient

agent_path

batch_delete_intents

TODO: Initialize `intents`:

Handle metadata.

batch_update_intents

Handle metadata.

create_intent

TODO: Initialize `intent`:

delete_intent

from_service_account_file

from_service_account_json

get_intent

intent_path

list_intents

Iterate over all results

Alternatively:

Iterate over results one page at a time

project_agent_path

update_intent

TODO: Initialize `intent`:

Class IntentsClient (1.0.0)

Methods

IntentsClient

agent_path

batch_delete_intents

TODO: Initialize intents:

Handle metadata.

batch_update_intents

Handle metadata.

create_intent

TODO: Initialize intent:

delete_intent

from_service_account_file

from_service_account_json

get_intent

intent_path

list_intents

Iterate over all results

Alternatively:

Iterate over results one page at a time

project_agent_path

update_intent

TODO: Initialize intent:

TODO: Initialize `intents`:

TODO: Initialize `intent`:

TODO: Initialize `intent`: