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    Class AgentsClient (1.0.0) 

      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_v2beta1

    client = dialogflow_v2beta1.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_v2beta1

    client = dialogflow_v2beta1.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

    Optional. 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 
 ( 
 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_v2beta1.AgentsClient
    The constructed client.
      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_v2beta1.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_v2beta1

    client = dialogflow_v2beta1.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.

    get_validation_result

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

    Gets agent validation result. Agent validation is performed during training time and is updated automatically when training is completed.

    .. rubric:: Example

    import dialogflow_v2beta1

    client = dialogflow_v2beta1.AgentsClient()

    response = client.get_validation_result()

    Parameters
    Name
    Description
    parent
    str

    Required. The project that the agent is associated with. Format: projects/ .

    language_code
    str

    Optional. The language for which you want a validation result. 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.

    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_v2beta1

    client = dialogflow_v2beta1.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_v2beta1

    client = dialogflow_v2beta1.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_v2beta1

    client = dialogflow_v2beta1.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_v2beta1

    client = dialogflow_v2beta1.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_v2beta1

    client = dialogflow_v2beta1.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.
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