Version: 3.x

rasa.core.actions.action

default_actions

def default_actions(
action_endpoint: Optional[EndpointConfig] = None) -> List["Action"]

List default actions.

action_for_index

def action_for_index(index: int, domain: Domain,
action_endpoint: Optional[EndpointConfig]) -> "Action"

Get an action based on its index in the list of available actions.

Arguments:

  • index - The index of the action. This is usually used by Policys as they predict the action index instead of the name.
  • domain - The Domain of the current model. The domain contains the actions provided by the user + the default actions.
  • action_endpoint - Can be used to run custom_actions (e.g. using the rasa-sdk).

Returns:

The instantiated Action or None if no Action was found for the given index.

is_retrieval_action

def is_retrieval_action(action_name: Text,
retrieval_intents: List[Text]) -> bool

Check if an action name is a retrieval action.

The name for a retrieval action has an extra utter_ prefix added to the corresponding retrieval intent name.

Arguments:

  • action_name - Name of the action.
  • retrieval_intents - List of retrieval intents defined in the NLU training data.

Returns:

True if the resolved intent name is present in the list of retrieval intents, False otherwise.

action_for_name_or_text

def action_for_name_or_text(
action_name_or_text: Text, domain: Domain,
action_endpoint: Optional[EndpointConfig]) -> "Action"

Retrieves an action by its name or by its text in case it's an end-to-end action.

Arguments:

  • action_name_or_text - The name of the action.
  • domain - The current model domain.
  • action_endpoint - The endpoint to execute custom actions.

Raises:

  • ActionNotFoundException - If action not in current domain.

Returns:

The instantiated action.

create_bot_utterance

def create_bot_utterance(message: Dict[Text, Any]) -> BotUttered

Create BotUttered event from message.

Action Objects

class Action()

Next action to be taken in response to a dialogue state.

name

def name() -> Text

Unique identifier of this simple action.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Execute the side effects of this action.

Arguments:

  • nlg - which nlg to use for response generation
  • output_channel - output_channel to which to send the resulting message.
  • tracker DialogueStateTracker - the state tracker for the current user. You can access slot values using tracker.get_slot(slot_name) and the most recent user message is tracker.latest_message.text.
  • ``1 Domain - the bot's domain

Returns:

A list of :class:``2 instances

__str__

def __str__() -> Text

Returns text representation of form.

event_for_successful_execution

def event_for_successful_execution(
prediction: PolicyPrediction) -> ActionExecuted

Event which should be logged for the successful execution of this action.

Arguments:

  • prediction - Prediction which led to the execution of this event.

Returns:

Event which should be logged onto the tracker.

ActionBotResponse Objects

class ActionBotResponse(Action)

An action which only effect is to utter a response when it is run.

__init__

def __init__(name: Text, silent_fail: Optional[bool] = False) -> None

Creates action.

Arguments:

  • name - Name of the action.
  • silent_fail - True if the action should fail silently in case no response was defined for this action.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Simple run implementation uttering a (hopefully defined) response.

name

def name() -> Text

Returns action name.

ActionEndToEndResponse Objects

class ActionEndToEndResponse(Action)

Action to utter end-to-end responses to the user.

__init__

def __init__(action_text: Text) -> None

Creates action.

Arguments:

  • action_text - Text of end-to-end bot response.

name

def name() -> Text

Returns action name.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action (see parent class for full docstring).

event_for_successful_execution

def event_for_successful_execution(
prediction: PolicyPrediction) -> ActionExecuted

Event which should be logged for the successful execution of this action.

Arguments:

  • prediction - Prediction which led to the execution of this event.

Returns:

Event which should be logged onto the tracker.

ActionRetrieveResponse Objects

class ActionRetrieveResponse(ActionBotResponse)

An action which queries the Response Selector for the appropriate response.

__init__

def __init__(name: Text, silent_fail: Optional[bool] = False) -> None

Creates action. See docstring of parent class.

intent_name_from_action

@staticmethod
def intent_name_from_action(action_name: Text) -> Text

Resolve the name of the intent from the action name.

get_full_retrieval_name

def get_full_retrieval_name(tracker: "DialogueStateTracker") -> Optional[Text]

Returns full retrieval name for the action.

Extracts retrieval intent from response selector and returns complete action utterance name.

Arguments:

  • tracker - Tracker containing past conversation events.

Returns:

Full retrieval name of the action if the last user utterance contains a response selector output, None otherwise.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Query the appropriate response and create a bot utterance with that.

name

def name() -> Text

Returns action name.

ActionBack Objects

class ActionBack(ActionBotResponse)

Revert the tracker state by two user utterances.

name

def name() -> Text

Returns action back name.

__init__

def __init__() -> None

Initializes action back.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

ActionListen Objects

class ActionListen(Action)

The first action in any turn - bot waits for a user message.

The bot should stop taking further actions and wait for the user to say something.

name

def name() -> Text

Returns action listen name.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

ActionRestart Objects

class ActionRestart(ActionBotResponse)

Resets the tracker to its initial state.

Utters the restart response if available.

name

def name() -> Text

Returns action restart name.

__init__

def __init__() -> None

Initializes action restart.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

ActionSessionStart Objects

class ActionSessionStart(Action)

Applies a conversation session start.

Takes all SlotSet events from the previous session and applies them to the new session.

name

def name() -> Text

Returns action start name.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

ActionDefaultFallback Objects

class ActionDefaultFallback(ActionBotResponse)

Executes the fallback action and goes back to the prev state of the dialogue.

name

def name() -> Text

Returns action default fallback name.

__init__

def __init__() -> None

Initializes action default fallback.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

ActionDeactivateLoop Objects

class ActionDeactivateLoop(Action)

Deactivates an active loop.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

RemoteAction Objects

class RemoteAction(Action)

action_response_format_spec

@staticmethod
def action_response_format_spec() -> Dict[Text, Any]

Expected response schema for an Action endpoint.

Used for validation of the response returned from the Action endpoint.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

ActionExecutionRejection Objects

class ActionExecutionRejection(RasaException)

Raising this exception will allow other policies to predict a different action.

__init__

def __init__(action_name: Text, message: Optional[Text] = None) -> None

Create a new ActionExecutionRejection exception.

ActionRevertFallbackEvents Objects

class ActionRevertFallbackEvents(Action)

Reverts events which were done during the TwoStageFallbackPolicy.

This reverts user messages and bot utterances done during a fallback of the TwoStageFallbackPolicy. By doing so it is not necessary to write custom stories for the different paths, but only of the happy path. This is deprecated and can be removed once the TwoStageFallbackPolicy is removed.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

ActionUnlikelyIntent Objects

class ActionUnlikelyIntent(Action)

An action that indicates that the intent predicted by NLU is unexpected.

This action can be predicted by UnexpecTEDIntentPolicy.

name

def name() -> Text

Returns the name of the action.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

has_user_affirmed

def has_user_affirmed(tracker: "DialogueStateTracker") -> bool

Indicates if the last executed action is action_default_ask_affirmation.

ActionDefaultAskAffirmation Objects

class ActionDefaultAskAffirmation(Action)

Default implementation which asks the user to affirm his intent.

It is suggested to overwrite this default action with a custom action to have more meaningful prompts for the affirmations. E.g. have a description of the intent instead of its identifier name.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

ActionDefaultAskRephrase Objects

class ActionDefaultAskRephrase(ActionBotResponse)

Default implementation which asks the user to rephrase his intent.

name

def name() -> Text

Returns action default ask rephrase name.

__init__

def __init__() -> None

Initializes action default ask rephrase.

ActionExtractSlots Objects

class ActionExtractSlots(Action)

Default action that runs after each user turn.

Action is executed automatically in MessageProcessor.handle_message(...) before the next predicted action is run.

Set slots to extracted values from user message according to assigned slot mappings.

__init__

def __init__(action_endpoint: Optional[EndpointConfig]) -> None

Initializes default action extract slots.

name

def name() -> Text

Returns action_extract_slots name.

run

async def run(output_channel: "OutputChannel", nlg: "NaturalLanguageGenerator",
tracker: "DialogueStateTracker",
domain: "Domain") -> List[Event]

Runs action. Please see parent class for the full docstring.

extract_slot_value_from_predefined_mapping

def extract_slot_value_from_predefined_mapping(
mapping_type: SlotMappingType, mapping: Dict[Text, Any],
tracker: "DialogueStateTracker") -> List[Any]

Extracts slot value if slot has an applicable predefined mapping.