From e330f08fe6d879e5405dc5c95c50afbafb82a294 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Wed, 7 Jun 2023 13:43:18 +0200 Subject: [PATCH 01/45] implemented flows using a proper stack and state machine model --- rasa/core/actions/flows.py | 11 +- rasa/core/actions/tests/test_flows.py | 27 ++ rasa/core/policies/flow_policy.py | 500 +++++++++++++++---------- rasa/core/policies/test_flow_policy.py | 37 ++ rasa/shared/core/constants.py | 2 - rasa/shared/core/domain.py | 24 +- rasa/shared/core/events.py | 6 +- rasa/shared/core/flows/flow.py | 192 ++++++++-- 8 files changed, 558 insertions(+), 241 deletions(-) create mode 100644 rasa/core/actions/tests/test_flows.py create mode 100644 rasa/core/policies/test_flow_policy.py diff --git a/rasa/core/actions/flows.py b/rasa/core/actions/flows.py index 822f0d5ead42..e2f2cbdcc83d 100644 --- a/rasa/core/actions/flows.py +++ b/rasa/core/actions/flows.py @@ -2,12 +2,11 @@ import logging from rasa.core.actions import action from rasa.core.channels import OutputChannel -from rasa.core.policies.flow_policy import FlowState +from rasa.core.policies.flow_policy import FlowStack, FlowStackFrame from rasa.shared.constants import FLOW_PREFIX from rasa.shared.core.constants import ( FLOW_STACK_SLOT, - FLOW_STATE_SLOT, ) from rasa.shared.core.domain import Domain from rasa.shared.core.events import ( @@ -46,7 +45,7 @@ async def run( metadata: Optional[Dict[Text, Any]] = None, ) -> List[Event]: """Trigger the flow.""" - return [ - SlotSet(FLOW_STACK_SLOT, None), - SlotSet(FLOW_STATE_SLOT, FlowState(flow_id=self._flow_name).as_dict()), - ] + + stack = FlowStack.from_tracker(tracker) + stack.push(FlowStackFrame(flow_id=self._flow_name)) + return [SlotSet(FLOW_STACK_SLOT, stack.as_dict())] diff --git a/rasa/core/actions/tests/test_flows.py b/rasa/core/actions/tests/test_flows.py new file mode 100644 index 000000000000..d8a9318bf57f --- /dev/null +++ b/rasa/core/actions/tests/test_flows.py @@ -0,0 +1,27 @@ +from rasa.core.actions.flows import FlowTriggerAction +from rasa.shared.core.events import SlotSet +from rasa.shared.core.flows.flow import START_STEP +from rasa.shared.core.trackers import DialogueStateTracker +from rasa.shared.core.constants import FLOW_STACK_SLOT +from rasa.shared.core.domain import Domain +from rasa.core.channels import OutputChannel +from rasa.core.nlg import NaturalLanguageGenerator + + +def test_name(): + action = FlowTriggerAction("flow_name") + assert action.name() == "flow_name" + assert action._flow_name == "name" + + +async def test_run_flow_action(): + action = FlowTriggerAction("flow_foobar") + output_channel = OutputChannel() + nlg = NaturalLanguageGenerator() + tracker = DialogueStateTracker.from_dict("foobar", []) + domain = Domain.empty() + events = await action.run(output_channel, nlg, tracker, domain) + assert len(events) == 1 + assert isinstance(events[0], SlotSet) + assert events[0].key == FLOW_STACK_SLOT + assert events[0].value == [{"flow_id": "foobar", "step_id": START_STEP}] diff --git a/rasa/core/policies/flow_policy.py b/rasa/core/policies/flow_policy.py index 8738ba9cd1a3..1d9e180b533d 100644 --- a/rasa/core/policies/flow_policy.py +++ b/rasa/core/policies/flow_policy.py @@ -15,19 +15,23 @@ from rasa.shared.core.constants import ( ACTION_LISTEN_NAME, FLOW_STACK_SLOT, - FLOW_STATE_SLOT, ) from rasa.shared.core.events import Event, SlotSet from rasa.shared.core.flows.flow import ( + END_STEP, + START_STEP, ActionFlowStep, ElseFlowLink, + EndFlowStep, Flow, FlowLinks, FlowStep, FlowsList, IfFlowLink, + QuestionScope, UserMessageStep, LinkFlowStep, + SetSlotsFlowStep, QuestionFlowStep, StaticFlowLink, ) @@ -143,16 +147,22 @@ def predict_action_probabilities( Returns: The prediction. """ + executor = FlowExecutor.from_tracker(tracker, flows) if tracker.active_loop: # we are in a loop - we don't want to handle flows in this case logger.debug("We are in a loop. Skipping prediction.") return self._create_prediction_result( action_name=None, domain=domain, score=0.0, events=[] ) + # TODO: below code is needed to start a flow while we are in an active loop + # prediction, events = executor.start_flow_if_possible(tracker) + # return self._create_prediction_result( + # action_name=prediction.action_name, domain=domain, + # score=prediction.score, events=[] + # ) # create executor and predict next action - executor = FlowExecutor.from_tracker(tracker, flows) - predicted_action, events, predicted_score = executor.select_next_action( + predicted_action, events, predicted_score = executor.advance_flows( tracker, domain ) return self._create_prediction_result( @@ -165,7 +175,7 @@ def _create_prediction_result( domain: Domain, score: float = 1.0, events: Optional[List[Event]] = None, - ) -> List[float]: + ) -> PolicyPrediction: """Creates a prediction result. Args: @@ -183,14 +193,145 @@ def _create_prediction_result( @dataclass -class FlowState: +class FlowStack: + """Represents the current flow stack.""" + + frames: List[FlowStackFrame] + + @staticmethod + def from_dict(data: List[Dict[Text, Any]]) -> FlowStack: + """Creates a `FlowStack` from a dictionary. + + Args: + data: The dictionary to create the `FlowStack` from. + + Returns: + The created `FlowStack`. + """ + return FlowStack([FlowStackFrame.from_dict(frame) for frame in data]) + + def as_dict(self) -> List[Dict[Text, Any]]: + """Returns the `FlowStack` as a dictionary. + + Returns: + The `FlowStack` as a dictionary. + """ + return [frame.as_dict() for frame in self.frames] + + def push(self, frame: FlowStackFrame) -> None: + """Pushes a new frame onto the stack. + + Args: + frame: The frame to push onto the stack. + """ + self.frames.append(frame) + + def update(self, frame: FlowStackFrame) -> None: + """Updates the topmost frame. + + Args: + frame: The frame to update. + """ + if not self.is_empty(): + self.pop() + + self.push(frame) + + def advance_top_flow(self, updated_id: Text) -> None: + """Updates the topmost flow step. + + Args: + updated_id: The updated flow step ID. + """ + if top := self.top(): + top.step_id = updated_id + + def pop(self) -> FlowStackFrame: + """Pops the topmost frame from the stack. + + Returns: + The popped frame. + """ + return self.frames.pop() + + def top(self) -> Optional[FlowStackFrame]: + """Returns the topmost frame from the stack. + + Returns: + The topmost frame. + """ + if self.is_empty(): + return None + + return self.frames[-1] + + def top_flow(self, flows: FlowsList) -> Optional[Flow]: + """Returns the topmost flow from the stack. + + Args: + flows: The flows to use. + + Returns: + The topmost flow. + """ + if not (top := self.top()): + return None + + return flows.flow_by_id(top.flow_id) + + def top_flow_step(self, flows: FlowsList) -> Optional[FlowStep]: + """Get the current flow step. + + Returns: + The current flow step or `None` if no flow is active.""" + if not (top := self.top()) or not (top_flow := self.top_flow(flows)): + return None + + return top_flow.step_for_id(top.step_id) + + def is_empty(self) -> bool: + """Checks if the stack is empty. + + Returns: + `True` if the stack is empty, `False` otherwise. + """ + return len(self.frames) == 0 + + @staticmethod + def from_tracker(tracker: DialogueStateTracker) -> FlowStack: + """Creates a `FlowStack` from a tracker. + + Args: + tracker: The tracker to create the `FlowStack` from. + + Returns: + The created `FlowStack`. + """ + flow_stack = tracker.get_slot(FLOW_STACK_SLOT) or [] + return FlowStack.from_dict(flow_stack) + + +@dataclass +class ActionPrediction: + """Represents an action prediction.""" + + action_name: Optional[Text] + """The name of the predicted action.""" + score: float + """The score of the predicted action.""" + + +@dataclass +class FlowStackFrame: """Represents the current flow step.""" flow_id: Text - step_id: Optional[Text] = None + """The ID of the current flow.""" + step_id: Text = START_STEP + """The ID of the current step.""" @staticmethod - def from_dict(data: Dict[Text, Any]) -> FlowState: + def from_dict(data: Dict[Text, Any]) -> FlowStackFrame: """Creates a `CurrentFlowStep` from a dictionary. Args: @@ -199,7 +340,7 @@ def from_dict(data: Dict[Text, Any]) -> FlowState: Returns: The created `CurrentFlowStep`. """ - return FlowState(data["flow_id"], data["step_id"]) + return FlowStackFrame(data["flow_id"], data["step_id"]) def as_dict(self) -> Dict[Text, Any]: """Returns the `CurrentFlowStep` as a dictionary. @@ -209,7 +350,7 @@ def as_dict(self) -> Dict[Text, Any]: """ return {"flow_id": self.flow_id, "step_id": self.step_id} - def with_updated_id(self, step_id: Text) -> FlowState: + def with_updated_id(self, step_id: Text) -> FlowStackFrame: """Creates a copy of the `CurrentFlowStep` with the given step id. Args: @@ -218,7 +359,7 @@ def with_updated_id(self, step_id: Text) -> FlowState: Returns: The copy of the `CurrentFlowStep` with the given step id. """ - return FlowState(self.flow_id, step_id) + return FlowStackFrame(self.flow_id, step_id) def __repr__(self) -> Text: return f"FlowState(flow_id: {self.flow_id}, step_id: {self.step_id})" @@ -227,14 +368,14 @@ def __repr__(self) -> Text: class FlowExecutor: """Executes a flow.""" - def __init__(self, flow_state: Optional[FlowState], all_flows: FlowsList) -> None: + def __init__(self, flow_stack: FlowStack, all_flows: FlowsList) -> None: """Initializes the `FlowExecutor`. Args: - flow_state: State of the flow. + flow_stack_frame: State of the flow. all_flows: All flows. """ - self.flow_state = flow_state + self.flow_stack = flow_stack self.all_flows = all_flows @staticmethod @@ -248,11 +389,8 @@ def from_tracker( Returns: The created `FlowExecutor`.""" - flow_state = tracker.get_slot(FLOW_STATE_SLOT) - return FlowExecutor( - FlowState.from_dict(flow_state) if flow_state else None, - flows or FlowsList([]), - ) + flow_stack = FlowStack.from_tracker(tracker) + return FlowExecutor(flow_stack, flows or FlowsList([])) def find_startable_flow(self, tracker: DialogueStateTracker) -> Optional[Flow]: """Finds a flow which can be started. @@ -265,16 +403,19 @@ def find_startable_flow(self, tracker: DialogueStateTracker) -> Optional[Flow]: Returns: The predicted action and the events to run. """ - if not tracker.latest_message: - # apperently, there is no message in the tracker + if ( + not tracker.latest_message + or tracker.latest_action_name != ACTION_LISTEN_NAME + ): + # flows can only be started automatically as a response to a user message return None - latest_intent = tracker.latest_message.intent.get(INTENT_NAME_KEY) - latest_entities = [ - e.get(ENTITY_ATTRIBUTE_TYPE) for e in tracker.latest_message.entities + latest_intent: Text = tracker.latest_message.intent.get(INTENT_NAME_KEY, "") + latest_entities: List[Text] = [ + e.get(ENTITY_ATTRIBUTE_TYPE, "") for e in tracker.latest_message.entities ] for flow in self.all_flows.underlying_flows: - first_step = flow.start_step() + first_step = flow.first_step_in_flow() if not first_step or not isinstance(first_step, UserMessageStep): continue @@ -314,9 +455,9 @@ def get_value( evaluation, _ = p.analyze(text_slots) return evaluation - def _evaluate_flow_links( + def _select_next_step_id( self, next: FlowLinks, domain: Domain, tracker: "DialogueStateTracker" - ) -> Optional[Text]: + ) -> Text: """Evaluate the flow links of a step.""" if len(next.links) == 1 and isinstance(next.links[0], StaticFlowLink): return next.links[0].target @@ -337,23 +478,19 @@ def _evaluate_flow_links( "No link was selected, but links are present. Links " "must cover all possible cases." ) - return None + # no links were selected. This means that the step is the last step in the flow + # and the flow should end. + return END_STEP - def _get_next_step( + def _select_next_step( self, tracker: "DialogueStateTracker", domain: Domain, current_step: FlowStep, flow_id: Text, - ) -> Optional[FlowStep]: + ) -> FlowStep: """Get the next step to execute.""" - # If the next step is not specified, we assume that the flow is done - if not current_step.has_next(): - None - - next_id = self._evaluate_flow_links(current_step.next, domain, tracker) - if next_id is None: - return None + next_id = self._select_next_step_id(current_step.next, domain, tracker) return self.all_flows.step_by_id(next_id, flow_id) def _slot_for_question(self, question: Text, domain: Domain) -> Slot: @@ -372,202 +509,177 @@ def _is_step_completed( """Check if a step is completed.""" if isinstance(step, QuestionFlowStep): return tracker.get_slot(step.question) is not None - elif isinstance(step, LinkFlowStep): - # The flow step can't be completed this way, it get's completed - # when the linked flow wraps up and returns to this flow - return False else: return True - def _get_current_flow(self) -> Optional[Flow]: - """Get the current flow. + def start_flow_if_possible( + self, tracker: DialogueStateTracker + ) -> Tuple[ActionPrediction, List[Event]]: + """Start a flow if possible. - Returns: - The current flow or `None` if no flow is active.""" - if not self.flow_state: - return None + Args: + tracker: The tracker to get the next action for. - return self.all_flows.flow_by_id(self.flow_state.flow_id) + Returns: + The predicted action and the events to run.""" + if new_flow := self.find_startable_flow(tracker): + # there are flows available, but we are not in a flow + # it looks like we can start a flow, so we'll predict the trigger action + logger.debug(f"Found startable flow: {new_flow.id}") + return (ActionPrediction(FLOW_PREFIX + new_flow.id, 1.0), []) + else: + logger.debug("No startable flow found.") + return (ActionPrediction(None, 0.0), []) - def _get_current_step(self) -> Optional[FlowStep]: - """Get the current step.""" - if not (current_flow := self._get_current_flow()) or not self.flow_state: - return None + def advance_flows( + self, tracker: DialogueStateTracker, domain: Domain + ) -> Tuple[Optional[Text], List[Event], float]: + """Advance the flows. - return current_flow.step_for_id(self.flow_state.step_id) + Either start a new flow or advance the current flow. - def start_flow( - self, tracker: DialogueStateTracker, domain: Domain - ) -> Optional[FlowStep]: - """Start the flow.""" - if not self.flow_state: - return None + Args: + tracker: The tracker to get the next action for. + domain: The domain to get the next action for. - first_step = self.all_flows.first_step(self.flow_state.flow_id) + Returns: + The predicted action and the events to run.""" - if not first_step: - return None + prediction, events = self.start_flow_if_possible(tracker) - if isinstance(first_step, UserMessageStep): - return self._get_next_step( - tracker, domain, first_step, self.flow_state.flow_id - ) + if prediction.action_name: + # if a flow can be started, we'll start it + return prediction.action_name, events, prediction.score + if self.flow_stack.is_empty(): + # if there are no flows, there is nothing to do + return (None, [], 0.0) else: - return first_step + prediction, events = self._select_next_action(tracker, domain) + if FlowStack.from_tracker(tracker).as_dict() != self.flow_stack.as_dict(): + # we need to update the flow stack to persist the state of the executor + events.append( + SlotSet( + FLOW_STACK_SLOT, + self.flow_stack.as_dict(), + ) + ) + return prediction.action_name, events, prediction.score - def select_next_action( + def _select_next_action( self, - tracker: "DialogueStateTracker", + tracker: DialogueStateTracker, domain: Domain, - ) -> Tuple[Optional[Text], List[Event], float]: - """Request the next slot and response if needed, else return `None`.""" - if not self._get_current_flow(): - if new_flow := self.find_startable_flow(tracker): - # there are flows available, but we are not in a flow - # it looks like we can start a flow, so we'll predict the trigger action - logger.debug(f"Found startable flow: {new_flow.id}") - return (FLOW_PREFIX + new_flow.id, [], 1.0) - else: - logger.debug("No startable flow found. Skipping prediction.") - return (None, [], 0.0) + ) -> Tuple[ActionPrediction, List[Event]]: + """Select the next action to execute. - # TODO: convert this to a proper step and transition model. right now - # this is a bit of a mess with the flow state and the tracker state + Advances the current flow and returns the next action to execute. A flow + is advanced until it is completed or until it predicts an action. If + the flow is completed, the next flow is popped from the stack and + advanced. If there are no more flows, the action listen is predicted. - if not (current_step := self._get_current_step()) or not self.flow_state: - # If the next step is not set, we return the first step - # if there is one - next_step = self.start_flow(tracker, domain) + Args: + tracker: The tracker to get the next action for. + domain: The domain to get the next action for. - elif not self._is_step_completed(current_step, tracker): - # TODO: figure out - raise FlowException("Not quite sure what to do here yet.") - else: - # If the step is completed, we get the next step - next_step = self._get_next_step( - tracker, domain, current_step, self.flow_state.flow_id - ) + Returns: + The next action to execute, the events that should be applied to the + tracker and the confidence of the prediction.""" + + predicted_action: Optional[ActionPrediction] = None + gathered_events = [] + + while not predicted_action: + if not (current_flow := self.flow_stack.top_flow(self.all_flows)): + # If there is no current flow, we assume that all flows are done + # and there is nothing to do. The assumption here is that every + # flow ends with an action listen. + predicted_action = ActionPrediction(ACTION_LISTEN_NAME, 1.0) + break + + if not (previous_step := self.flow_stack.top_flow_step(self.all_flows)): + raise FlowException( + "The current flow is set, but there is no current step. " + "This should not happen, if a flow is started it should be set " + "to __start__ if it ended it should be popped from the stack." + ) - if next_step: - action, events = self._get_action_for_next_step(next_step, tracker, domain) - return (action, events, 1.0) + if not self._is_step_completed(previous_step, tracker): + # TODO: figure out + raise FlowException("Not quite sure what to do here yet.") - if not (current_flow := self._get_current_flow()): - raise FlowException( - "No current flow, but no next step either. " - "This should not happen. If there wouldn't be a flow, " - "the current step should be None." + current_step = self._select_next_step( + tracker, domain, previous_step, current_flow.id ) + self.flow_stack.advance_top_flow(current_step.id) - # this flow is finished. let's clean up - events = self._reset_ephemeral_slots(current_flow, tracker) - - # there is no immediate next step, so we check if there is a stack - # and if there is, we go one level up the stack - if not (current_stack := tracker.get_slot(FLOW_STACK_SLOT)): - # If there is no stack, we assume that the flow is done - # and there is nothing to do. We reset the flow state - # and return action listen. The assumption here is that every - # flow ends with an action listen. - events.append(SlotSet(FLOW_STATE_SLOT, None)) - return (ACTION_LISTEN_NAME, events, 1.0) - else: - # If there is a stack, we pop the last item and return it - stack_step_dump = current_stack.pop() - stack_step_info = FlowState.from_dict(stack_step_dump) - stack_step = self.all_flows.step_by_id( - stack_step_info.step_id, stack_step_info.flow_id + predicted_action, events = self._run_step( + current_flow, current_step, tracker ) - next_step = self._get_next_step( - tracker, domain, stack_step, stack_step_info.flow_id - ) - action, action_events = self._get_action_for_next_step( - next_step, tracker, domain - ) - updated_state = FlowState( - stack_step_info.flow_id, - next_step.id if next_step else None, - ) - events.extend(action_events) - events.append(SlotSet(FLOW_STACK_SLOT, current_stack)) - events.append(SlotSet(FLOW_STATE_SLOT, updated_state.as_dict())) - return (action, events, 1.0) + gathered_events.extend(events) + + return (predicted_action, gathered_events) - def _reset_ephemeral_slots( + def _reset_scoped_slots( self, current_flow: Flow, tracker: DialogueStateTracker ) -> List[Event]: - """Reset all ephemeral slots.""" + """Reset all scoped slots.""" events: List[Event] = [] for step in current_flow.steps: - # reset all ephemeral slots - if isinstance(step, QuestionFlowStep) and step.ephemeral: + # reset all slots scoped to the flow + if isinstance(step, QuestionFlowStep) and step.scope == QuestionScope.FLOW: slot = tracker.slots.get(step.question, None) initial_value = slot.initial_value if slot else None events.append(SlotSet(step.question, initial_value)) return events - def _get_action_for_next_step( + def _run_step( self, - next_step: FlowStep, + flow: Flow, + step: FlowStep, tracker: DialogueStateTracker, - domain: Domain, - ) -> Tuple[Optional[Text], List[Event]]: - """Get the action for the next step.""" - if not self.flow_state: - raise FlowException( - "Trying to get the action for the next step, but there is no " - "flow state. This should not happen." - ) + ) -> Tuple[Optional[ActionPrediction], List[Event]]: + """Run a single step of a flow. - events: List[Event] = [] - action_name = None + Returns the predicted action and a list of events that were generated + during the step. The predicted action can be `None` if the step + doesn't generate an action. The list of events can be empty if the + step doesn't generate any events. - if isinstance(next_step, QuestionFlowStep): - slot = tracker.slots.get(next_step.question, None) - initial_value = slot.initial_value if slot else None - if next_step.skip_if_filled: - if slot != initial_value: - # TODO this needs more thought. we can't predict an action - # here as we need to go to the next step instead as we should - # skip this one - - # this might currently actually work due to forms - pass - elif slot != initial_value: - events.append(SlotSet(next_step.question, initial_value)) + Raises a `FlowException` if the step is invalid. - events.append( - SlotSet( - FLOW_STATE_SLOT, - self.flow_state.with_updated_id(next_step.id).as_dict(), - ) - ) - action_name = "question_" + next_step.question - elif isinstance(next_step, ActionFlowStep): - if not (action_name := next_step.action): - raise FlowException(f"Action not specified for step {next_step}") - events.append( - SlotSet( - FLOW_STATE_SLOT, - self.flow_state.with_updated_id(next_step.id).as_dict(), - ) - ) + Args: + flow: The flow that the step belongs to. + step: The step to run. + tracker: The tracker to run the step on. - elif isinstance(next_step, LinkFlowStep): - link_id = next_step.link - current_stack = tracker.get_slot(FLOW_STACK_SLOT) or [] - # TODO: double check, are id's unique across flows or only within a flow? - # if they are only unique within a flow, we need to add the flow id - current_stack.append( - self.flow_state.with_updated_id(next_step.id).as_dict() - ) - events.append(SlotSet(FLOW_STACK_SLOT, current_stack)) - action_name, sub_flow_events, _ = FlowExecutor( - FlowState(flow_id=link_id), self.all_flows - ).select_next_action(tracker, domain) + Returns: + A tuple of the predicted action and a list of events.""" + if isinstance(step, QuestionFlowStep): + slot = tracker.slots.get(step.question, None) + initial_value = slot.initial_value if slot else None + question_action = ActionPrediction("question_" + step.question, 1.0) - events.extend(sub_flow_events) + if step.skip_if_filled and slot != initial_value: + return (None, []) + elif slot != initial_value: + return (question_action, [SlotSet(step.question, initial_value)]) + else: + return (question_action, []) + elif isinstance(step, ActionFlowStep): + if not step.action: + raise FlowException(f"Action not specified for step {step}") + return (ActionPrediction(step.action, 1.0), []) + elif isinstance(step, LinkFlowStep): + self.flow_stack.push(FlowStackFrame(flow_id=step.link, step_id=START_STEP)) + return (None, []) + elif isinstance(step, SetSlotsFlowStep): + return (None, [SlotSet(slot["key"], slot["value"]) for slot in step.slots]) + elif isinstance(step, UserMessageStep): + return (None, []) + elif isinstance(step, EndFlowStep): + # this is the end of the flow, so we'll pop it from the stack + events = self._reset_scoped_slots(flow, tracker) + self.flow_stack.pop() + return (None, events) else: - raise FlowException(f"Unknown flow step type {type(next_step)}") - - return (action_name, events) + raise FlowException(f"Unknown flow step type {type(step)}") diff --git a/rasa/core/policies/test_flow_policy.py b/rasa/core/policies/test_flow_policy.py new file mode 100644 index 000000000000..1d58fd72aa4c --- /dev/null +++ b/rasa/core/policies/test_flow_policy.py @@ -0,0 +1,37 @@ +import textwrap + +from rasa.core.policies.flow_policy import ( + FlowExecutor, +) +from rasa.shared.core.domain import Domain +from rasa.shared.core.flows.yaml_flows_io import YAMLFlowsReader +from rasa.shared.core.trackers import DialogueStateTracker + + +def test_select_next_action(): + flows = YAMLFlowsReader.read_from_string( + textwrap.dedent( + """ + flows: + test_flow: + description: Test flow + steps: + - id: "1" + intent: transfer_money + next: "2" + - id: "2" + action: utter_ask_name + """ + ) + ) + tracker = DialogueStateTracker.from_dict( + "test", + [{"event": "user", "parse_data": {"intent": {"name": "transfer_money"}}}], + ) + domain = Domain.empty() + executor = FlowExecutor.from_tracker(tracker, flows) + + action, events, score = executor.advance_flows(tracker, domain) + assert action == "flow_test_flow" + assert events == [] + assert score == 1.0 diff --git a/rasa/shared/core/constants.py b/rasa/shared/core/constants.py index cd67c5e05e47..873dc0cc3460 100644 --- a/rasa/shared/core/constants.py +++ b/rasa/shared/core/constants.py @@ -79,7 +79,6 @@ ACTION_NAME_SENDER_ID_CONNECTOR_STR = "__sender_id:" REQUESTED_SLOT = "requested_slot" -FLOW_STATE_SLOT = "flow_state" FLOW_STACK_SLOT = "flow_stack" # slots for knowledge base @@ -90,7 +89,6 @@ DEFAULT_SLOT_NAMES = { REQUESTED_SLOT, - FLOW_STATE_SLOT, FLOW_STACK_SLOT, SESSION_START_METADATA_SLOT, SLOT_LISTED_ITEMS, diff --git a/rasa/shared/core/domain.py b/rasa/shared/core/domain.py index e02a085719bf..ab24f632fbab 100644 --- a/rasa/shared/core/domain.py +++ b/rasa/shared/core/domain.py @@ -975,22 +975,20 @@ def _add_flow_slots(self) -> None: Add a slot called `flow_stack_slot` to the list of slots. The value of this slot will be a call stack of the flow ids. """ - from rasa.shared.core.constants import FLOW_STATE_SLOT, FLOW_STACK_SLOT + from rasa.shared.core.constants import FLOW_STACK_SLOT slot_names = [slot.name for slot in self.slots] - flow_slots = [FLOW_STATE_SLOT, FLOW_STACK_SLOT] - for slot in flow_slots: - if slot not in slot_names: - self.slots.append( - AnySlot(slot, mappings=[], influence_conversation=False) - ) - else: - # TODO: figure out what to do here. - logger.warning( - f"Slot {slot} is reserved for the next step slot, " - f"but it already exists. 🤔" - ) + if FLOW_STACK_SLOT not in slot_names: + self.slots.append( + AnySlot(FLOW_STACK_SLOT, mappings=[], influence_conversation=False) + ) + else: + # TODO: figure out what to do here. + logger.warning( + f"Slot {FLOW_STACK_SLOT} is reserved for the next step slot, " + f"but it already exists. 🤔" + ) def _add_requested_slot(self) -> None: """Add a slot called `requested_slot` to the list of slots. diff --git a/rasa/shared/core/events.py b/rasa/shared/core/events.py index 248386f9836f..b80f4901515f 100644 --- a/rasa/shared/core/events.py +++ b/rasa/shared/core/events.py @@ -551,7 +551,11 @@ def __str__(self) -> Text: def __repr__(self) -> Text: """Returns text representation of event for debugging.""" - return f"UserUttered('{self.text}', '{self.intent_name}', {json.dumps(self.entities)})" + return ( + f"UserUttered('{self.text}', " + f"'{self.intent_name}', " + f"{json.dumps(self.entities)})" + ) @staticmethod def empty() -> "UserUttered": diff --git a/rasa/shared/core/flows/flow.py b/rasa/shared/core/flows/flow.py index 6ce9002c17f2..fbe91b8010d9 100644 --- a/rasa/shared/core/flows/flow.py +++ b/rasa/shared/core/flows/flow.py @@ -1,6 +1,7 @@ from __future__ import annotations from dataclasses import dataclass +from enum import Enum from typing import Any, Dict, List, Optional, Protocol, Set, Text from rasa.shared.exceptions import RasaException @@ -18,9 +19,9 @@ def __init__(self, step: FlowStep, flow: Flow) -> None: def __str__(self) -> Text: """Return a string representation of the exception.""" return ( - f"Step '{self.step.id}' in flow '{self.flow.id}' can not be reached from the start step. " - f"Please make sure that all steps can be reached from the start step, e.g. by " - f"checking that another step points to this step." + f"Step '{self.step.id}' in flow '{self.flow.id}' can not be reached from " + f"the start step. Please make sure that all steps can be reached from the " + f"start step, e.g. by checking that another step points to this step." ) @@ -142,11 +143,6 @@ def flow_by_id(self, id: Optional[Text]) -> Optional[Flow]: else: return None - def first_step(self, flow_id: Text) -> Optional[FlowStep]: - """Return the first step of the flow.""" - flow = self.flow_by_id(flow_id) - return flow.start_step() if flow else None - def step_by_id(self, step_id: Text, flow_id: Text) -> FlowStep: """Return the step with the given id.""" flow = self.flow_by_id(flow_id) @@ -190,7 +186,7 @@ def from_json(flow_id: Text, flow_config: Dict[Text, Any]) -> Flow: """ return Flow( id=flow_id, - name=flow_config.get("name"), + name=flow_config.get("name", ""), description=flow_config.get("description"), steps=[ step_from_json(step_config) @@ -216,7 +212,8 @@ def validate(self) -> None: This ensures that the flow semantically makes sense. E.g. it checks: - - + - whether all next links point to existing steps + - whether all steps can be reached from the start step """ self._validate_all_next_ids_are_availble_steps() self._validate_all_steps_can_be_reached() @@ -246,7 +243,7 @@ def _reachable_steps( ) return reached_steps - reached_steps = _reachable_steps(self.start_step(), set()) + reached_steps = _reachable_steps(self.first_step_in_flow(), set()) for step in self.steps: if step.id not in reached_steps: @@ -257,13 +254,20 @@ def step_for_id(self, step_id: Optional[Text]) -> Optional[FlowStep]: if not step_id: return None + if step_id == START_STEP: + first_step_in_flow = self.first_step_in_flow() + return StartFlowStep(first_step_in_flow.id if first_step_in_flow else None) + + if step_id == END_STEP: + return EndFlowStep() + for step in self.steps: if step.id == step_id: return step return None - def start_step(self) -> Optional[FlowStep]: + def first_step_in_flow(self) -> Optional[FlowStep]: """Returns the start step of this flow.""" if len(self.steps) == 0: return None @@ -289,6 +293,8 @@ def step_from_json(flow_step_config: Dict[Text, Any]) -> FlowStep: return QuestionFlowStep.from_json(flow_step_config) if "link" in flow_step_config: return LinkFlowStep.from_json(flow_step_config) + if "set_slots" in flow_step_config: + return SetSlotsFlowStep.from_json(flow_step_config) else: raise ValueError(f"Flow step is missing a type. {flow_step_config}") @@ -339,9 +345,92 @@ def as_json(self) -> Dict[Text, Any]: dump["metadata"] = self.metadata return dump - def has_next(self) -> bool: - """Returns whether the flow step has a next steps.""" - return bool(self.next.links) + +START_STEP = "__start__" + + +@dataclass +class StartFlowStep(FlowStep): + """Represents the configuration of a start flow step.""" + + def __init__(self, start_step_id: Optional[Text]) -> None: + """Initializes a start flow step. + + Args: + start_step: The step to start the flow from. + """ + if start_step_id is not None: + links: List[FlowLink] = [StaticFlowLink(target=start_step_id)] + else: + links = [] + + super().__init__( + id=START_STEP, + description=None, + metadata={}, + next=FlowLinks(links=links), + ) + + @classmethod + def from_json(cls, flow_step_config: Dict[Text, Any]) -> ActionFlowStep: + """Used to read flow steps from parsed YAML. + + Args: + flow_step_config: The parsed YAML as a dictionary. + + Returns: + The parsed flow step. + """ + raise ValueError("Start steps cannot be parsed from YAML.") + + def as_json(self) -> Dict[Text, Any]: + """Returns the flow step as a dictionary. + + Returns: + The flow step as a dictionary. + """ + raise ValueError("Start steps cannot be dumped to YAML.") + + +END_STEP = "__end__" + + +@dataclass +class EndFlowStep(FlowStep): + """Represents the configuration of an end to a flow.""" + + def __init__(self) -> None: + """Initializes a start flow step. + + Args: + start_step: The step to start the flow from. + """ + super().__init__( + id=END_STEP, + description=None, + metadata={}, + next=FlowLinks(links=[]), + ) + + @classmethod + def from_json(cls, flow_step_config: Dict[Text, Any]) -> ActionFlowStep: + """Used to read flow steps from parsed YAML. + + Args: + flow_step_config: The parsed YAML as a dictionary. + + Returns: + The parsed flow step. + """ + raise ValueError("End steps cannot be parsed from YAML.") + + def as_json(self) -> Dict[Text, Any]: + """Returns the flow step as a dictionary. + + Returns: + The flow step as a dictionary. + """ + raise ValueError("End steps cannot be dumped to YAML.") @dataclass @@ -363,7 +452,7 @@ def from_json(cls, flow_step_config: Dict[Text, Any]) -> ActionFlowStep: """ base = super()._from_json(flow_step_config) return ActionFlowStep( - action=flow_step_config.get("action"), + action=flow_step_config.get("action", ""), **base.__dict__, ) @@ -397,7 +486,7 @@ def from_json(cls, flow_step_config: Dict[Text, Any]) -> LinkFlowStep: """ base = super()._from_json(flow_step_config) return LinkFlowStep( - link=flow_step_config.get("link"), + link=flow_step_config.get("link", ""), **base.__dict__, ) @@ -422,7 +511,7 @@ class TriggerCondition: """The entities to trigger the flow.""" def is_triggered(self, intent: Text, entities: List[Text]) -> bool: - """Returns whether the trigger condition is triggered by the given intent and entities. + """Check if condition is triggered by the given intent and entities. Args: intent: The intent to check. @@ -518,6 +607,23 @@ def is_triggered(self, intent: Text, entities: List[Text]) -> bool: ) +# enumeration of question scopes. scope can either be flow or global +class QuestionScope(str, Enum): + FLOW = "flow" + GLOBAL = "global" + + @staticmethod + def from_str(label): + if label is None: + return QuestionScope.FLOW + elif label.lower() == "flow": + return QuestionScope.FLOW + elif label.lower() == "global": + return QuestionScope.GLOBAL + else: + raise NotImplementedError + + @dataclass class QuestionFlowStep(FlowStep): """Represents the configuration of a question flow step.""" @@ -526,8 +632,8 @@ class QuestionFlowStep(FlowStep): """The question of the flow step.""" skip_if_filled: bool = False """Whether to skip the question if the slot is already filled.""" - ephemeral: bool = False - """Whether the question is ephemeral.""" + scope: QuestionScope = QuestionScope.FLOW + """how the question is scoped, determins when to reset its value.""" @classmethod def from_json(cls, flow_step_config: Dict[Text, Any]) -> QuestionFlowStep: @@ -541,9 +647,9 @@ def from_json(cls, flow_step_config: Dict[Text, Any]) -> QuestionFlowStep: """ base = super()._from_json(flow_step_config) return QuestionFlowStep( - question=flow_step_config.get("question"), + question=flow_step_config.get("question", ""), skip_if_filled=flow_step_config.get("skip_if_filled", False), - ephemeral=flow_step_config.get("ephemeral", False), + scope=QuestionScope.from_str(flow_step_config.get("scope")), **base.__dict__, ) @@ -556,7 +662,7 @@ def as_json(self) -> Dict[Text, Any]: dump = super().as_json() dump["question"] = self.question dump["skip_if_filled"] = self.skip_if_filled - dump["ephemeral"] = self.ephemeral + dump["scope"] = self.scope.value return dump @@ -580,7 +686,7 @@ def from_json(cls, flow_step_config: Dict[Text, Any]) -> UserFlowStep: """ base = super()._from_json(flow_step_config) return UserFlowStep( - user=flow_step_config.get("user"), + user=flow_step_config.get("user", ""), **base.__dict__, ) @@ -595,6 +701,42 @@ def as_json(self) -> Dict[Text, Any]: return dump +@dataclass +class SetSlotsFlowStep(FlowStep): + """Represents the configuration of a set_slots flow step.""" + + slots: List[Dict[str, Any]] + """Slots to set of the flow step.""" + + @classmethod + def from_json(cls, flow_step_config: Dict[Text, Any]) -> SetSlotsFlowStep: + """Used to read flow steps from parsed YAML. + Args: + flow_step_config: The parsed YAML as a dictionary. + Returns: + The parsed flow step. + """ + base = super()._from_json(flow_step_config) + slots = [ + {"key": k, "value": v} + for slot in flow_step_config.get("set_slots", []) + for k, v in slot.items() + ] + return SetSlotsFlowStep( + slots=slots, + **base.__dict__, + ) + + def as_json(self) -> Dict[Text, Any]: + """Returns the flow step as a dictionary. + Returns: + The flow step as a dictionary. + """ + dump = super().as_json() + dump["set_slots"] = [{slot["key"]: slot["value"]} for slot in self.slots] + return dump + + @dataclass class FlowLinks: """Represents the configuration of a list of flow links.""" @@ -678,7 +820,7 @@ def as_json(self) -> Any: ... @staticmethod - def from_json(link_config: Dict[Text, Any]) -> FlowLink: + def from_json(link_config: Any) -> FlowLink: """Used to read flow links from parsed YAML. Args: From 07d4a0132c7e5666446a860cfbf42fd665cb2c21 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Thu, 8 Jun 2023 23:02:11 +0200 Subject: [PATCH 02/45] Apply suggestions from code review --- rasa/shared/core/flows/flow.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/rasa/shared/core/flows/flow.py b/rasa/shared/core/flows/flow.py index fbe91b8010d9..f1eb5ca93c5f 100644 --- a/rasa/shared/core/flows/flow.py +++ b/rasa/shared/core/flows/flow.py @@ -373,15 +373,15 @@ def __init__(self, start_step_id: Optional[Text]) -> None: @classmethod def from_json(cls, flow_step_config: Dict[Text, Any]) -> ActionFlowStep: - """Used to read flow steps from parsed YAML. + """Used to read flow steps from parsed JSON. Args: - flow_step_config: The parsed YAML as a dictionary. + flow_step_config: The parsed JSON as a dictionary. Returns: The parsed flow step. """ - raise ValueError("Start steps cannot be parsed from YAML.") + raise ValueError("A start step cannot be parsed.") def as_json(self) -> Dict[Text, Any]: """Returns the flow step as a dictionary. @@ -389,7 +389,7 @@ def as_json(self) -> Dict[Text, Any]: Returns: The flow step as a dictionary. """ - raise ValueError("Start steps cannot be dumped to YAML.") + raise ValueError("A start step cannot be dumped.") END_STEP = "__end__" @@ -414,15 +414,15 @@ def __init__(self) -> None: @classmethod def from_json(cls, flow_step_config: Dict[Text, Any]) -> ActionFlowStep: - """Used to read flow steps from parsed YAML. + """Used to read flow steps from parsed JSON. Args: - flow_step_config: The parsed YAML as a dictionary. + flow_step_config: The parsed JSON as a dictionary. Returns: The parsed flow step. """ - raise ValueError("End steps cannot be parsed from YAML.") + raise ValueError("An end step cannot be parsed.") def as_json(self) -> Dict[Text, Any]: """Returns the flow step as a dictionary. @@ -430,7 +430,7 @@ def as_json(self) -> Dict[Text, Any]: Returns: The flow step as a dictionary. """ - raise ValueError("End steps cannot be dumped to YAML.") + raise ValueError("An end step cannot be dumped.") @dataclass From 9cfd0486c18e0f54c98f14402450977de5d38c5f Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Fri, 9 Jun 2023 00:18:26 +0200 Subject: [PATCH 03/45] added interrupt and return --- rasa/core/actions/action.py | 5 ++ rasa/core/actions/flows.py | 38 ++++++++++++- rasa/core/policies/flow_policy.py | 79 ++++++++++++++++---------- rasa/core/policies/test_flow_policy.py | 32 +++++++++-- rasa/shared/constants.py | 1 + rasa/shared/importers/importer.py | 6 +- 6 files changed, 121 insertions(+), 40 deletions(-) diff --git a/rasa/core/actions/action.py b/rasa/core/actions/action.py index 8c0b3280f4cd..691096fc6526 100644 --- a/rasa/core/actions/action.py +++ b/rasa/core/actions/action.py @@ -31,6 +31,7 @@ from rasa.shared.constants import ( DOCS_BASE_URL, DEFAULT_NLU_FALLBACK_INTENT_NAME, + FLOW_INTERRUPT_RETURN_PREFIX, UTTER_PREFIX, FLOW_PREFIX, ) @@ -212,6 +213,10 @@ def action_for_name_or_text( from rasa.core.actions.flows import FlowTriggerAction return FlowTriggerAction(action_name_or_text) + if action_name_or_text.startswith(FLOW_INTERRUPT_RETURN_PREFIX): + from rasa.core.actions.flows import FlowInterruptReturnAction + + return FlowInterruptReturnAction(action_name_or_text) return RemoteAction(action_name_or_text, action_endpoint) diff --git a/rasa/core/actions/flows.py b/rasa/core/actions/flows.py index e2f2cbdcc83d..990e7fb532d3 100644 --- a/rasa/core/actions/flows.py +++ b/rasa/core/actions/flows.py @@ -3,13 +3,15 @@ from rasa.core.actions import action from rasa.core.channels import OutputChannel from rasa.core.policies.flow_policy import FlowStack, FlowStackFrame -from rasa.shared.constants import FLOW_PREFIX +from rasa.shared.constants import FLOW_INTERRUPT_RETURN_PREFIX, FLOW_PREFIX from rasa.shared.core.constants import ( FLOW_STACK_SLOT, ) from rasa.shared.core.domain import Domain from rasa.shared.core.events import ( + ActiveLoop, + BotUttered, Event, SlotSet, ) @@ -47,5 +49,35 @@ async def run( """Trigger the flow.""" stack = FlowStack.from_tracker(tracker) - stack.push(FlowStackFrame(flow_id=self._flow_name)) - return [SlotSet(FLOW_STACK_SLOT, stack.as_dict())] + stack.push(FlowStackFrame(flow_id=self._flow_name, return_to_loop=tracker.active_loop_name)) + + events: List[Event] = [SlotSet(FLOW_STACK_SLOT, stack.as_dict())] + if tracker.active_loop_name: + events.append(ActiveLoop(None)) + + return events + + +class FlowInterruptReturnAction(action.Action): + """Action which implements and executes the form logic.""" + + def __init__(self, flow_action_name: Text) -> None: + super().__init__() + self._flow_name = flow_action_name[len(FLOW_INTERRUPT_RETURN_PREFIX) :] + self._flow_action_name = flow_action_name + + def name(self) -> Text: + """Return the flow name.""" + return self._flow_action_name + + async def run( + self, + output_channel: "OutputChannel", + nlg: "NaturalLanguageGenerator", + tracker: "DialogueStateTracker", + domain: "Domain", + metadata: Optional[Dict[Text, Any]] = None, + ) -> List[Event]: + """Trigger the flow.""" + + return [BotUttered(text=f"Returning to {self._flow_name}")] \ No newline at end of file diff --git a/rasa/core/policies/flow_policy.py b/rasa/core/policies/flow_policy.py index 1d9e180b533d..a4b90a5c9bed 100644 --- a/rasa/core/policies/flow_policy.py +++ b/rasa/core/policies/flow_policy.py @@ -10,13 +10,13 @@ POLICY_PRIORITY, ) from pypred import Predicate -from rasa.shared.constants import FLOW_PREFIX +from rasa.shared.constants import FLOW_INTERRUPT_RETURN_PREFIX, FLOW_PREFIX from rasa.shared.nlu.constants import ENTITY_ATTRIBUTE_TYPE, INTENT_NAME_KEY from rasa.shared.core.constants import ( ACTION_LISTEN_NAME, FLOW_STACK_SLOT, ) -from rasa.shared.core.events import Event, SlotSet +from rasa.shared.core.events import ActiveLoop, Event, SlotSet from rasa.shared.core.flows.flow import ( END_STEP, START_STEP, @@ -150,16 +150,11 @@ def predict_action_probabilities( executor = FlowExecutor.from_tracker(tracker, flows) if tracker.active_loop: # we are in a loop - we don't want to handle flows in this case - logger.debug("We are in a loop. Skipping prediction.") + prediction, events = executor.start_flow_if_possible(tracker) return self._create_prediction_result( - action_name=None, domain=domain, score=0.0, events=[] + action_name=prediction.action_name, domain=domain, + score=prediction.score, events=[] ) - # TODO: below code is needed to start a flow while we are in an active loop - # prediction, events = executor.start_flow_if_possible(tracker) - # return self._create_prediction_result( - # action_name=prediction.action_name, domain=domain, - # score=prediction.score, events=[] - # ) # create executor and predict next action predicted_action, events, predicted_score = executor.advance_flows( @@ -329,6 +324,8 @@ class FlowStackFrame: """The ID of the current flow.""" step_id: Text = START_STEP """The ID of the current step.""" + return_to_loop: Optional[Text] = None + """The name of the loop that should be actived when this stack frame ends.""" @staticmethod def from_dict(data: Dict[Text, Any]) -> FlowStackFrame: @@ -340,7 +337,7 @@ def from_dict(data: Dict[Text, Any]) -> FlowStackFrame: Returns: The created `CurrentFlowStep`. """ - return FlowStackFrame(data["flow_id"], data["step_id"]) + return FlowStackFrame(data["flow_id"], data["step_id"], data.get("return_to_loop")) def as_dict(self) -> Dict[Text, Any]: """Returns the `CurrentFlowStep` as a dictionary. @@ -348,7 +345,7 @@ def as_dict(self) -> Dict[Text, Any]: Returns: The `CurrentFlowStep` as a dictionary. """ - return {"flow_id": self.flow_id, "step_id": self.step_id} + return {"flow_id": self.flow_id, "step_id": self.step_id, "return_to_loop": self.return_to_loop} def with_updated_id(self, step_id: Text) -> FlowStackFrame: """Creates a copy of the `CurrentFlowStep` with the given step id. @@ -359,10 +356,10 @@ def with_updated_id(self, step_id: Text) -> FlowStackFrame: Returns: The copy of the `CurrentFlowStep` with the given step id. """ - return FlowStackFrame(self.flow_id, step_id) + return FlowStackFrame(self.flow_id, step_id, self.return_to_loop) def __repr__(self) -> Text: - return f"FlowState(flow_id: {self.flow_id}, step_id: {self.step_id})" + return f"FlowState(flow_id: {self.flow_id}, step_id: {self.step_id}, return_to_loop: {self.return_to_loop})" class FlowExecutor: @@ -456,9 +453,10 @@ def get_value( return evaluation def _select_next_step_id( - self, next: FlowLinks, domain: Domain, tracker: "DialogueStateTracker" - ) -> Text: + self, current: FlowStep, domain: Domain, tracker: "DialogueStateTracker" + ) -> Optional[Text]: """Evaluate the flow links of a step.""" + next = current.next if len(next.links) == 1 and isinstance(next.links[0], StaticFlowLink): return next.links[0].target @@ -478,9 +476,13 @@ def _select_next_step_id( "No link was selected, but links are present. Links " "must cover all possible cases." ) - # no links were selected. This means that the step is the last step in the flow - # and the flow should end. - return END_STEP + if current.id != END_STEP: + # no links were selected. This means that the step is the last step in the flow + # and the flow should end. + return END_STEP + else: + # we are already at the very end of the flow. There is no next step. + return None def _select_next_step( self, @@ -488,9 +490,12 @@ def _select_next_step( domain: Domain, current_step: FlowStep, flow_id: Text, - ) -> FlowStep: + ) -> Optional[FlowStep]: """Get the next step to execute.""" - next_id = self._select_next_step_id(current_step.next, domain, tracker) + next_id = self._select_next_step_id(current_step, domain, tracker) + if next_id is None: + return None + return self.all_flows.step_by_id(next_id, flow_id) def _slot_for_question(self, question: Text, domain: Domain) -> Slot: @@ -610,12 +615,19 @@ def _select_next_action( current_step = self._select_next_step( tracker, domain, previous_step, current_flow.id ) - self.flow_stack.advance_top_flow(current_step.id) - - predicted_action, events = self._run_step( - current_flow, current_step, tracker - ) - gathered_events.extend(events) + if current_step is None: + frame = self.flow_stack.pop() + if frame.return_to_loop and self.flow_stack.top_flow_step(self.all_flows): + current_step = self.flow_stack.top_flow_step(self.all_flows) + + if current_step: + # this can't be an else, because the previous if might change this to "not None" + self.flow_stack.advance_top_flow(current_step.id) + + predicted_action, events = self._run_step( + current_flow, current_step, tracker + ) + gathered_events.extend(events) return (predicted_action, gathered_events) @@ -670,8 +682,11 @@ def _run_step( raise FlowException(f"Action not specified for step {step}") return (ActionPrediction(step.action, 1.0), []) elif isinstance(step, LinkFlowStep): - self.flow_stack.push(FlowStackFrame(flow_id=step.link, step_id=START_STEP)) - return (None, []) + self.flow_stack.push(FlowStackFrame(flow_id=step.link, step_id=START_STEP, return_to_loop=tracker.active_loop_name)) + if tracker.active_loop_name: + return (None, [ActiveLoop(None)]) + else: + return (None, []) elif isinstance(step, SetSlotsFlowStep): return (None, [SlotSet(slot["key"], slot["value"]) for slot in step.slots]) elif isinstance(step, UserMessageStep): @@ -679,7 +694,9 @@ def _run_step( elif isinstance(step, EndFlowStep): # this is the end of the flow, so we'll pop it from the stack events = self._reset_scoped_slots(flow, tracker) - self.flow_stack.pop() - return (None, events) + if (stack_frame := self.flow_stack.top()) and stack_frame.return_to_loop: + return (ActionPrediction(FLOW_INTERRUPT_RETURN_PREFIX + stack_frame.flow_id, 1.0), events) + else: + return (None, events) else: raise FlowException(f"Unknown flow step type {type(step)}") diff --git a/rasa/core/policies/test_flow_policy.py b/rasa/core/policies/test_flow_policy.py index 1d58fd72aa4c..78ce7bf8d674 100644 --- a/rasa/core/policies/test_flow_policy.py +++ b/rasa/core/policies/test_flow_policy.py @@ -4,10 +4,31 @@ FlowExecutor, ) from rasa.shared.core.domain import Domain +from rasa.shared.core.events import ActionExecuted from rasa.shared.core.flows.yaml_flows_io import YAMLFlowsReader from rasa.shared.core.trackers import DialogueStateTracker +def _run_flow_until_listen(executor: FlowExecutor, tracker: DialogueStateTracker, domain: Domain): + # Run the flow until we reach a listen action. collect and return all events and intermediate actions. + events = [] + actions = [] + while True: + action, new_events, _ = executor.advance_flows(tracker, domain) + events.extend(new_events) + actions.append(action) + tracker.update_with_events(new_events, domain) + if action: + tracker.update(ActionExecuted(action), domain) + if action == "action_listen": + break + if action == None and len(new_events) == 0: + # No action was executed and no events were generated. This means that the flow isn't + # doing anything anymore + break + return actions, events + + def test_select_next_action(): flows = YAMLFlowsReader.read_from_string( textwrap.dedent( @@ -26,12 +47,15 @@ def test_select_next_action(): ) tracker = DialogueStateTracker.from_dict( "test", - [{"event": "user", "parse_data": {"intent": {"name": "transfer_money"}}}], + [ + {"event": "action", "name": "action_listen"}, + {"event": "user", "parse_data": {"intent": {"name": "transfer_money"}}}], ) domain = Domain.empty() executor = FlowExecutor.from_tracker(tracker, flows) - action, events, score = executor.advance_flows(tracker, domain) - assert action == "flow_test_flow" + actions, events = _run_flow_until_listen(executor, tracker, domain) + + assert actions == ["flow_test_flow", None] assert events == [] - assert score == 1.0 + diff --git a/rasa/shared/constants.py b/rasa/shared/constants.py index 9e437b9561ec..d463a0565f66 100644 --- a/rasa/shared/constants.py +++ b/rasa/shared/constants.py @@ -63,6 +63,7 @@ DEFAULT_SENDER_ID = "default" UTTER_PREFIX = "utter_" FLOW_PREFIX = "flow_" +FLOW_INTERRUPT_RETURN_PREFIX = "interrupt_return_" ASSISTANT_ID_KEY = "assistant_id" ASSISTANT_ID_DEFAULT_VALUE = "placeholder_default" diff --git a/rasa/shared/importers/importer.py b/rasa/shared/importers/importer.py index 642ea6bd7b3f..a315f94b8052 100644 --- a/rasa/shared/importers/importer.py +++ b/rasa/shared/importers/importer.py @@ -380,7 +380,9 @@ def get_domain(self) -> Domain: flows = self.get_flows() - flow_names = ["flow_" + flow.id for flow in flows.underlying_flows] + flow_names = [rasa.shared.constants.FLOW_PREFIX + flow.id for flow in flows.underlying_flows] + + flow_interrupts = [rasa.shared.constants.FLOW_INTERRUPT_RETURN_PREFIX+ flow.id for flow in flows.underlying_flows] all_question_steps = [ step @@ -396,7 +398,7 @@ def get_domain(self) -> Domain: } return domain.merge( - Domain.from_dict({KEY_ACTIONS: flow_names, KEY_FORMS: forms}) + Domain.from_dict({KEY_ACTIONS: flow_names + flow_interrupts, KEY_FORMS: forms}) ) From 8fa091626664d5b5f733ed10a608ead3ddb7f9c5 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Fri, 9 Jun 2023 23:40:03 +0200 Subject: [PATCH 04/45] review improvements --- rasa/core/actions/action.py | 9 +- rasa/core/actions/flows.py | 48 ++++-- rasa/core/actions/tests/test_flows.py | 4 +- rasa/core/policies/flow_policy.py | 198 +++++++++++++++++-------- rasa/core/policies/test_flow_policy.py | 41 ++--- rasa/shared/constants.py | 1 - rasa/shared/core/constants.py | 2 + rasa/shared/core/flows/flow.py | 3 +- rasa/shared/importers/importer.py | 28 +++- 9 files changed, 230 insertions(+), 104 deletions(-) diff --git a/rasa/core/actions/action.py b/rasa/core/actions/action.py index 691096fc6526..7056d160d75e 100644 --- a/rasa/core/actions/action.py +++ b/rasa/core/actions/action.py @@ -31,7 +31,6 @@ from rasa.shared.constants import ( DOCS_BASE_URL, DEFAULT_NLU_FALLBACK_INTENT_NAME, - FLOW_INTERRUPT_RETURN_PREFIX, UTTER_PREFIX, FLOW_PREFIX, ) @@ -97,6 +96,7 @@ def default_actions(action_endpoint: Optional[EndpointConfig] = None) -> List["Action"]: """List default actions.""" from rasa.core.actions.two_stage_fallback import TwoStageFallbackAction + from rasa.core.actions.flows import ActionFlowContinueInterupted return [ ActionListen(), @@ -112,6 +112,7 @@ def default_actions(action_endpoint: Optional[EndpointConfig] = None) -> List["A ActionSendText(), ActionBack(), ActionExtractSlots(action_endpoint), + ActionFlowContinueInterupted(), ] @@ -213,10 +214,6 @@ def action_for_name_or_text( from rasa.core.actions.flows import FlowTriggerAction return FlowTriggerAction(action_name_or_text) - if action_name_or_text.startswith(FLOW_INTERRUPT_RETURN_PREFIX): - from rasa.core.actions.flows import FlowInterruptReturnAction - - return FlowInterruptReturnAction(action_name_or_text) return RemoteAction(action_name_or_text, action_endpoint) @@ -1049,7 +1046,7 @@ async def run( """Runs action. Please see parent class for the full docstring.""" fallback = {"text": ""} - message = metadata.get("message", fallback) + message = metadata.get("message", fallback) if metadata else fallback return [create_bot_utterance(message)] diff --git a/rasa/core/actions/flows.py b/rasa/core/actions/flows.py index 990e7fb532d3..a36e896f9ee0 100644 --- a/rasa/core/actions/flows.py +++ b/rasa/core/actions/flows.py @@ -2,16 +2,16 @@ import logging from rasa.core.actions import action from rasa.core.channels import OutputChannel -from rasa.core.policies.flow_policy import FlowStack, FlowStackFrame -from rasa.shared.constants import FLOW_INTERRUPT_RETURN_PREFIX, FLOW_PREFIX +from rasa.core.policies.flow_policy import FlowStack, FlowStackFrame, StackFrameType +from rasa.shared.constants import FLOW_PREFIX from rasa.shared.core.constants import ( + ACTION_FLOW_CONTINUE_INERRUPTED_NAME, FLOW_STACK_SLOT, ) from rasa.shared.core.domain import Domain from rasa.shared.core.events import ( ActiveLoop, - BotUttered, Event, SlotSet, ) @@ -49,26 +49,34 @@ async def run( """Trigger the flow.""" stack = FlowStack.from_tracker(tracker) - stack.push(FlowStackFrame(flow_id=self._flow_name, return_to_loop=tracker.active_loop_name)) - + if tracker.active_loop_name and not stack.is_empty(): + frame_type = StackFrameType.INTERRUPT + else: + frame_type = StackFrameType.REGULAR + + stack.push( + FlowStackFrame( + flow_id=self._flow_name, + frame_type=frame_type, + ) + ) + events: List[Event] = [SlotSet(FLOW_STACK_SLOT, stack.as_dict())] if tracker.active_loop_name: events.append(ActiveLoop(None)) - + return events -class FlowInterruptReturnAction(action.Action): - """Action which implements and executes the form logic.""" +UTTER_FLOW_CONTINUE_INTERRUPTED = "utter_flow_continue_interrupted" - def __init__(self, flow_action_name: Text) -> None: - super().__init__() - self._flow_name = flow_action_name[len(FLOW_INTERRUPT_RETURN_PREFIX) :] - self._flow_action_name = flow_action_name + +class ActionFlowContinueInterupted(action.Action): + """Action which implements and executes the form logic.""" def name(self) -> Text: """Return the flow name.""" - return self._flow_action_name + return ACTION_FLOW_CONTINUE_INERRUPTED_NAME async def run( self, @@ -80,4 +88,16 @@ async def run( ) -> List[Event]: """Trigger the flow.""" - return [BotUttered(text=f"Returning to {self._flow_name}")] \ No newline at end of file + fallback = {"text": "Let's return to the previous topic."} + flow_name = metadata.get("flow_name") if metadata else None + + generated = await nlg.generate( + UTTER_FLOW_CONTINUE_INTERRUPTED, + tracker, + output_channel.name(), + flow_name=flow_name, + ) + + utterance: Event = action.create_bot_utterance(generated or fallback) + + return [utterance] diff --git a/rasa/core/actions/tests/test_flows.py b/rasa/core/actions/tests/test_flows.py index d8a9318bf57f..5746fa9f6a8e 100644 --- a/rasa/core/actions/tests/test_flows.py +++ b/rasa/core/actions/tests/test_flows.py @@ -8,13 +8,13 @@ from rasa.core.nlg import NaturalLanguageGenerator -def test_name(): +def test_name() -> None: action = FlowTriggerAction("flow_name") assert action.name() == "flow_name" assert action._flow_name == "name" -async def test_run_flow_action(): +async def test_run_flow_action() -> None: action = FlowTriggerAction("flow_foobar") output_channel = OutputChannel() nlg = NaturalLanguageGenerator() diff --git a/rasa/core/policies/flow_policy.py b/rasa/core/policies/flow_policy.py index a4b90a5c9bed..c24daf1c2002 100644 --- a/rasa/core/policies/flow_policy.py +++ b/rasa/core/policies/flow_policy.py @@ -1,7 +1,8 @@ from __future__ import annotations from dataclasses import dataclass -from typing import Any, Dict, Text, List, Optional, Tuple, Union +from enum import Enum +from typing import Any, Dict, Text, List, Optional, Union import logging from rasa.core.constants import ( @@ -10,9 +11,10 @@ POLICY_PRIORITY, ) from pypred import Predicate -from rasa.shared.constants import FLOW_INTERRUPT_RETURN_PREFIX, FLOW_PREFIX +from rasa.shared.constants import FLOW_PREFIX from rasa.shared.nlu.constants import ENTITY_ATTRIBUTE_TYPE, INTENT_NAME_KEY from rasa.shared.core.constants import ( + ACTION_FLOW_CONTINUE_INERRUPTED_NAME, ACTION_LISTEN_NAME, FLOW_STACK_SLOT, ) @@ -24,7 +26,6 @@ ElseFlowLink, EndFlowStep, Flow, - FlowLinks, FlowStep, FlowsList, IfFlowLink, @@ -149,19 +150,26 @@ def predict_action_probabilities( """ executor = FlowExecutor.from_tracker(tracker, flows) if tracker.active_loop: - # we are in a loop - we don't want to handle flows in this case - prediction, events = executor.start_flow_if_possible(tracker) + # we are in a loop - likely answering a question - we need to check + # if the user responded with a trigger intent for another flow rather + # than answering the question + prediction = executor.consider_flow_switch(tracker) return self._create_prediction_result( - action_name=prediction.action_name, domain=domain, - score=prediction.score, events=[] + action_name=prediction.action_name, + domain=domain, + score=prediction.score, + events=[], + action_metadata=prediction.metadata, ) # create executor and predict next action - predicted_action, events, predicted_score = executor.advance_flows( - tracker, domain - ) + prediction = executor.advance_flows(tracker, domain) return self._create_prediction_result( - predicted_action, domain, predicted_score, events + prediction.action_name, + domain, + prediction.score, + prediction.events, + prediction.metadata, ) def _create_prediction_result( @@ -170,6 +178,7 @@ def _create_prediction_result( domain: Domain, score: float = 1.0, events: Optional[List[Event]] = None, + action_metadata: Optional[Dict[Text, Any]] = None, ) -> PolicyPrediction: """Creates a prediction result. @@ -184,7 +193,9 @@ def _create_prediction_result( result = self._default_predictions(domain) if action_name: result[domain.index_for_action(action_name)] = score - return self._prediction(result, optional_events=events) + return self._prediction( + result, optional_events=events, action_metadata=action_metadata + ) @dataclass @@ -314,6 +325,39 @@ class ActionPrediction: """The name of the predicted action.""" score: float """The score of the predicted action.""" + metadata: Optional[Dict[Text, Any]] = None + """The metadata of the predicted action.""" + events: Optional[List[Event]] = None + """The events attached to the predicted action.""" + + +class StackFrameType(str, Enum): + INTERRUPT = "interrupt" + """The frame is an interrupt frame. + + This means that the previous flow was interrupted by this flow.""" + LINK = "link" + """The frame is a link frame. + + This means that the previous flow linked to this flow.""" + REGULAR = "regular" + """The frame is a regular frame. + + In all other cases, this is the case.""" + + @staticmethod + def from_str(typ: Optional[Text]) -> "StackFrameType": + """Creates a `StackFrameType` from a string.""" + if typ is None: + return StackFrameType.REGULAR + elif typ == StackFrameType.INTERRUPT.value: + return StackFrameType.INTERRUPT + elif typ == StackFrameType.LINK.value: + return StackFrameType.LINK + elif typ == StackFrameType.REGULAR.value: + return StackFrameType.REGULAR + else: + raise NotImplementedError @dataclass @@ -324,8 +368,8 @@ class FlowStackFrame: """The ID of the current flow.""" step_id: Text = START_STEP """The ID of the current step.""" - return_to_loop: Optional[Text] = None - """The name of the loop that should be actived when this stack frame ends.""" + frame_type: StackFrameType = StackFrameType.REGULAR + """The type of the frame. Defaults to `StackFrameType.REGULAR`.""" @staticmethod def from_dict(data: Dict[Text, Any]) -> FlowStackFrame: @@ -337,7 +381,11 @@ def from_dict(data: Dict[Text, Any]) -> FlowStackFrame: Returns: The created `CurrentFlowStep`. """ - return FlowStackFrame(data["flow_id"], data["step_id"], data.get("return_to_loop")) + return FlowStackFrame( + data["flow_id"], + data["step_id"], + StackFrameType.from_str(data.get("frame_type")), + ) def as_dict(self) -> Dict[Text, Any]: """Returns the `CurrentFlowStep` as a dictionary. @@ -345,7 +393,11 @@ def as_dict(self) -> Dict[Text, Any]: Returns: The `CurrentFlowStep` as a dictionary. """ - return {"flow_id": self.flow_id, "step_id": self.step_id, "return_to_loop": self.return_to_loop} + return { + "flow_id": self.flow_id, + "step_id": self.step_id, + "frame_type": self.frame_type.value, + } def with_updated_id(self, step_id: Text) -> FlowStackFrame: """Creates a copy of the `CurrentFlowStep` with the given step id. @@ -356,10 +408,12 @@ def with_updated_id(self, step_id: Text) -> FlowStackFrame: Returns: The copy of the `CurrentFlowStep` with the given step id. """ - return FlowStackFrame(self.flow_id, step_id, self.return_to_loop) + return FlowStackFrame(self.flow_id, step_id, self.frame_type) def __repr__(self) -> Text: - return f"FlowState(flow_id: {self.flow_id}, step_id: {self.step_id}, return_to_loop: {self.return_to_loop})" + return (f"FlowState(flow_id: {self.flow_id}, " + f"step_id: {self.step_id}, " + f"frame_type: {self.frame_type.value})") class FlowExecutor: @@ -477,8 +531,8 @@ def _select_next_step_id( "must cover all possible cases." ) if current.id != END_STEP: - # no links were selected. This means that the step is the last step in the flow - # and the flow should end. + # no links were selected. This means that the step is the last + # step in the flow and the flow should end. return END_STEP else: # we are already at the very end of the flow. There is no next step. @@ -517,10 +571,8 @@ def _is_step_completed( else: return True - def start_flow_if_possible( - self, tracker: DialogueStateTracker - ) -> Tuple[ActionPrediction, List[Event]]: - """Start a flow if possible. + def consider_flow_switch(self, tracker: DialogueStateTracker) -> ActionPrediction: + """Consider switching to a new flow. Args: tracker: The tracker to get the next action for. @@ -531,14 +583,14 @@ def start_flow_if_possible( # there are flows available, but we are not in a flow # it looks like we can start a flow, so we'll predict the trigger action logger.debug(f"Found startable flow: {new_flow.id}") - return (ActionPrediction(FLOW_PREFIX + new_flow.id, 1.0), []) + return ActionPrediction(FLOW_PREFIX + new_flow.id, 1.0) else: logger.debug("No startable flow found.") - return (ActionPrediction(None, 0.0), []) + return ActionPrediction(None, 0.0) def advance_flows( self, tracker: DialogueStateTracker, domain: Domain - ) -> Tuple[Optional[Text], List[Event], float]: + ) -> ActionPrediction: """Advance the flows. Either start a new flow or advance the current flow. @@ -550,31 +602,33 @@ def advance_flows( Returns: The predicted action and the events to run.""" - prediction, events = self.start_flow_if_possible(tracker) + prediction = self.consider_flow_switch(tracker) if prediction.action_name: # if a flow can be started, we'll start it - return prediction.action_name, events, prediction.score + return prediction if self.flow_stack.is_empty(): # if there are no flows, there is nothing to do - return (None, [], 0.0) + return ActionPrediction(None, 0.0) else: - prediction, events = self._select_next_action(tracker, domain) + prediction = self._select_next_action(tracker, domain) if FlowStack.from_tracker(tracker).as_dict() != self.flow_stack.as_dict(): # we need to update the flow stack to persist the state of the executor - events.append( + if not prediction.events: + prediction.events = [] + prediction.events.append( SlotSet( FLOW_STACK_SLOT, self.flow_stack.as_dict(), ) ) - return prediction.action_name, events, prediction.score + return prediction def _select_next_action( self, tracker: DialogueStateTracker, domain: Domain, - ) -> Tuple[ActionPrediction, List[Event]]: + ) -> ActionPrediction: """Select the next action to execute. Advances the current flow and returns the next action to execute. A flow @@ -593,7 +647,7 @@ def _select_next_action( predicted_action: Optional[ActionPrediction] = None gathered_events = [] - while not predicted_action: + while not predicted_action or predicted_action.score == 0.0: if not (current_flow := self.flow_stack.top_flow(self.all_flows)): # If there is no current flow, we assume that all flows are done # and there is nothing to do. The assumption here is that every @@ -617,19 +671,21 @@ def _select_next_action( ) if current_step is None: frame = self.flow_stack.pop() - if frame.return_to_loop and self.flow_stack.top_flow_step(self.all_flows): + if frame.frame_type == StackFrameType.INTERRUPT: + # if the previous frame got interrupted, we need to run the step + # that got interrupted again current_step = self.flow_stack.top_flow_step(self.all_flows) - + if current_step: - # this can't be an else, because the previous if might change this to "not None" + # this can't be an else, because the previous if might change + # this to "not None" self.flow_stack.advance_top_flow(current_step.id) - predicted_action, events = self._run_step( - current_flow, current_step, tracker - ) - gathered_events.extend(events) + predicted_action = self._run_step(current_flow, current_step, tracker) + gathered_events.extend(predicted_action.events or []) - return (predicted_action, gathered_events) + predicted_action.events = gathered_events + return predicted_action def _reset_scoped_slots( self, current_flow: Flow, tracker: DialogueStateTracker @@ -649,7 +705,7 @@ def _run_step( flow: Flow, step: FlowStep, tracker: DialogueStateTracker, - ) -> Tuple[Optional[ActionPrediction], List[Event]]: + ) -> ActionPrediction: """Run a single step of a flow. Returns the predicted action and a list of events that were generated @@ -669,34 +725,56 @@ def _run_step( if isinstance(step, QuestionFlowStep): slot = tracker.slots.get(step.question, None) initial_value = slot.initial_value if slot else None + if step.skip_if_filled and slot != initial_value: + return ActionPrediction(None, 0.0) + question_action = ActionPrediction("question_" + step.question, 1.0) + if slot != initial_value: + question_action.events = [SlotSet(step.question, initial_value)] + return question_action - if step.skip_if_filled and slot != initial_value: - return (None, []) - elif slot != initial_value: - return (question_action, [SlotSet(step.question, initial_value)]) - else: - return (question_action, []) elif isinstance(step, ActionFlowStep): if not step.action: raise FlowException(f"Action not specified for step {step}") - return (ActionPrediction(step.action, 1.0), []) + return ActionPrediction(step.action, 1.0) elif isinstance(step, LinkFlowStep): - self.flow_stack.push(FlowStackFrame(flow_id=step.link, step_id=START_STEP, return_to_loop=tracker.active_loop_name)) + self.flow_stack.push( + FlowStackFrame( + flow_id=step.link, + step_id=START_STEP, + frame_type=StackFrameType.LINK, + ) + ) if tracker.active_loop_name: - return (None, [ActiveLoop(None)]) + return ActionPrediction(None, 0.0, events=[ActiveLoop(None)]) else: - return (None, []) + return ActionPrediction(None, 0.0) elif isinstance(step, SetSlotsFlowStep): - return (None, [SlotSet(slot["key"], slot["value"]) for slot in step.slots]) + return ActionPrediction( + None, + 0.0, + events=[SlotSet(slot["key"], slot["value"]) for slot in step.slots], + ) elif isinstance(step, UserMessageStep): - return (None, []) + return ActionPrediction(None, 0.0) elif isinstance(step, EndFlowStep): # this is the end of the flow, so we'll pop it from the stack events = self._reset_scoped_slots(flow, tracker) - if (stack_frame := self.flow_stack.top()) and stack_frame.return_to_loop: - return (ActionPrediction(FLOW_INTERRUPT_RETURN_PREFIX + stack_frame.flow_id, 1.0), events) - else: - return (None, events) + if len(self.flow_stack.frames) >= 2: + previous_frame = self.flow_stack.frames[-2] + current_frame = self.flow_stack.frames[-1] + + if current_frame.frame_type == StackFrameType.INTERRUPT: + # get stack frame that is below the current one and which will + # be continued now that this one has ended. + previous_flow = self.all_flows.flow_by_id(previous_frame.flow_id) + previous_flow_name = previous_flow.name if previous_flow else None + return ActionPrediction( + ACTION_FLOW_CONTINUE_INERRUPTED_NAME, + 1.0, + metadata={"flow_name": previous_flow_name}, + events=events, + ) + return ActionPrediction(None, 0.0, events=events) else: raise FlowException(f"Unknown flow step type {type(step)}") diff --git a/rasa/core/policies/test_flow_policy.py b/rasa/core/policies/test_flow_policy.py index 78ce7bf8d674..9b979a3c9f3e 100644 --- a/rasa/core/policies/test_flow_policy.py +++ b/rasa/core/policies/test_flow_policy.py @@ -1,35 +1,42 @@ import textwrap +from typing import List, Optional, Text, Tuple from rasa.core.policies.flow_policy import ( FlowExecutor, ) from rasa.shared.core.domain import Domain -from rasa.shared.core.events import ActionExecuted +from rasa.shared.core.events import ActionExecuted, Event from rasa.shared.core.flows.yaml_flows_io import YAMLFlowsReader from rasa.shared.core.trackers import DialogueStateTracker -def _run_flow_until_listen(executor: FlowExecutor, tracker: DialogueStateTracker, domain: Domain): - # Run the flow until we reach a listen action. collect and return all events and intermediate actions. +def _run_flow_until_listen( + executor: FlowExecutor, tracker: DialogueStateTracker, domain: Domain +) -> Tuple[List[Optional[Text]], List[Event]]: + # Run the flow until we reach a listen action. + # Collect and return all events and intermediate actions. events = [] actions = [] while True: - action, new_events, _ = executor.advance_flows(tracker, domain) - events.extend(new_events) - actions.append(action) - tracker.update_with_events(new_events, domain) - if action: - tracker.update(ActionExecuted(action), domain) - if action == "action_listen": + action_prediction = executor.advance_flows(tracker, domain) + if not action_prediction: break - if action == None and len(new_events) == 0: - # No action was executed and no events were generated. This means that the flow isn't - # doing anything anymore + + events.extend(action_prediction.events or []) + actions.append(action_prediction.action_name) + tracker.update_with_events(action_prediction.events or [], domain) + if action_prediction.action_name: + tracker.update(ActionExecuted(action_prediction.action_name), domain) + if action_prediction.action_name == "action_listen": + break + if action_prediction.action_name is None and not action_prediction.events: + # No action was executed and no events were generated. This means that + # the flow isn't doing anything anymore break return actions, events - -def test_select_next_action(): + +def test_select_next_action() -> None: flows = YAMLFlowsReader.read_from_string( textwrap.dedent( """ @@ -49,7 +56,8 @@ def test_select_next_action(): "test", [ {"event": "action", "name": "action_listen"}, - {"event": "user", "parse_data": {"intent": {"name": "transfer_money"}}}], + {"event": "user", "parse_data": {"intent": {"name": "transfer_money"}}}, + ], ) domain = Domain.empty() executor = FlowExecutor.from_tracker(tracker, flows) @@ -58,4 +66,3 @@ def test_select_next_action(): assert actions == ["flow_test_flow", None] assert events == [] - diff --git a/rasa/shared/constants.py b/rasa/shared/constants.py index d463a0565f66..9e437b9561ec 100644 --- a/rasa/shared/constants.py +++ b/rasa/shared/constants.py @@ -63,7 +63,6 @@ DEFAULT_SENDER_ID = "default" UTTER_PREFIX = "utter_" FLOW_PREFIX = "flow_" -FLOW_INTERRUPT_RETURN_PREFIX = "interrupt_return_" ASSISTANT_ID_KEY = "assistant_id" ASSISTANT_ID_DEFAULT_VALUE = "placeholder_default" diff --git a/rasa/shared/core/constants.py b/rasa/shared/core/constants.py index 873dc0cc3460..5b2aef13eaf9 100644 --- a/rasa/shared/core/constants.py +++ b/rasa/shared/core/constants.py @@ -37,6 +37,7 @@ RULE_SNIPPET_ACTION_NAME = "..." ACTION_EXTRACT_SLOTS = "action_extract_slots" ACTION_VALIDATE_SLOT_MAPPINGS = "action_validate_slot_mappings" +ACTION_FLOW_CONTINUE_INERRUPTED_NAME = "action_flow_continue_interrupted" DEFAULT_ACTION_NAMES = [ @@ -54,6 +55,7 @@ ACTION_SEND_TEXT, RULE_SNIPPET_ACTION_NAME, ACTION_EXTRACT_SLOTS, + ACTION_FLOW_CONTINUE_INERRUPTED_NAME, ] ACTION_SHOULD_SEND_DOMAIN = "send_domain" diff --git a/rasa/shared/core/flows/flow.py b/rasa/shared/core/flows/flow.py index f1eb5ca93c5f..b2bfebcd8b44 100644 --- a/rasa/shared/core/flows/flow.py +++ b/rasa/shared/core/flows/flow.py @@ -613,7 +613,8 @@ class QuestionScope(str, Enum): GLOBAL = "global" @staticmethod - def from_str(label): + def from_str(label: Optional[Text]) -> "QuestionScope": + """Converts a string to a QuestionScope.""" if label is None: return QuestionScope.FLOW elif label.lower() == "flow": diff --git a/rasa/shared/importers/importer.py b/rasa/shared/importers/importer.py index a315f94b8052..01a2296dc8c2 100644 --- a/rasa/shared/importers/importer.py +++ b/rasa/shared/importers/importer.py @@ -10,6 +10,7 @@ import rasa.shared.utils.io from rasa.shared.core.domain import ( KEY_FORMS, + KEY_RESPONSES_TEXT, Domain, KEY_E2E_ACTIONS, KEY_INTENTS, @@ -376,13 +377,32 @@ class FlowSyncImporter(PassThroughImporter): @rasa.shared.utils.common.cached_method def get_domain(self) -> Domain: """Merge existing domain with properties of flows.""" + from rasa.core.actions.flows import UTTER_FLOW_CONTINUE_INTERRUPTED + from rasa.shared.core.training_data.story_reader.yaml_story_reader import ( + KEY_METADATA, + ) + domain = self._importer.get_domain() flows = self.get_flows() - flow_names = [rasa.shared.constants.FLOW_PREFIX + flow.id for flow in flows.underlying_flows] + flow_names = [ + rasa.shared.constants.FLOW_PREFIX + flow.id + for flow in flows.underlying_flows + ] - flow_interrupts = [rasa.shared.constants.FLOW_INTERRUPT_RETURN_PREFIX+ flow.id for flow in flows.underlying_flows] + if UTTER_FLOW_CONTINUE_INTERRUPTED not in domain.responses: + text = "Let's continue with the previous topic off {flow_name}." + responses = { + UTTER_FLOW_CONTINUE_INTERRUPTED: [ + { + KEY_RESPONSES_TEXT: text, + KEY_METADATA: {"allow_variation": True}, + } + ] + } + else: + responses = {} all_question_steps = [ step @@ -398,7 +418,9 @@ def get_domain(self) -> Domain: } return domain.merge( - Domain.from_dict({KEY_ACTIONS: flow_names + flow_interrupts, KEY_FORMS: forms}) + Domain.from_dict( + {KEY_ACTIONS: flow_names, KEY_FORMS: forms, KEY_RESPONSES: responses} + ) ) From ccd2ab3308eee27c89fb11602340bc0ffecd3b3e Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Fri, 9 Jun 2023 23:47:26 +0200 Subject: [PATCH 05/45] review comments --- rasa/core/policies/flow_policy.py | 31 +++++++++++++++++-------------- 1 file changed, 17 insertions(+), 14 deletions(-) diff --git a/rasa/core/policies/flow_policy.py b/rasa/core/policies/flow_policy.py index c24daf1c2002..216ede4f7bb7 100644 --- a/rasa/core/policies/flow_policy.py +++ b/rasa/core/policies/flow_policy.py @@ -373,13 +373,13 @@ class FlowStackFrame: @staticmethod def from_dict(data: Dict[Text, Any]) -> FlowStackFrame: - """Creates a `CurrentFlowStep` from a dictionary. + """Creates a `FlowStackFrame` from a dictionary. Args: - data: The dictionary to create the `CurrentFlowStep` from. + data: The dictionary to create the `FlowStackFrame` from. Returns: - The created `CurrentFlowStep`. + The created `FlowStackFrame`. """ return FlowStackFrame( data["flow_id"], @@ -388,10 +388,10 @@ def from_dict(data: Dict[Text, Any]) -> FlowStackFrame: ) def as_dict(self) -> Dict[Text, Any]: - """Returns the `CurrentFlowStep` as a dictionary. + """Returns the `FlowStackFrame` as a dictionary. Returns: - The `CurrentFlowStep` as a dictionary. + The `FlowStackFrame` as a dictionary. """ return { "flow_id": self.flow_id, @@ -400,20 +400,22 @@ def as_dict(self) -> Dict[Text, Any]: } def with_updated_id(self, step_id: Text) -> FlowStackFrame: - """Creates a copy of the `CurrentFlowStep` with the given step id. + """Creates a copy of the `FlowStackFrame` with the given step id. Args: step_id: The step id to use for the copy. Returns: - The copy of the `CurrentFlowStep` with the given step id. + The copy of the `FlowStackFrame` with the given step id. """ return FlowStackFrame(self.flow_id, step_id, self.frame_type) def __repr__(self) -> Text: - return (f"FlowState(flow_id: {self.flow_id}, " - f"step_id: {self.step_id}, " - f"frame_type: {self.frame_type.value})") + return ( + f"FlowState(flow_id: {self.flow_id}, " + f"step_id: {self.step_id}, " + f"frame_type: {self.frame_type.value})" + ) class FlowExecutor: @@ -431,12 +433,13 @@ def __init__(self, flow_stack: FlowStack, all_flows: FlowsList) -> None: @staticmethod def from_tracker( - tracker: DialogueStateTracker, flows: Optional[FlowsList] + tracker: DialogueStateTracker, flows: FlowsList ) -> FlowExecutor: """Creates a `FlowExecutor` from a tracker. Args: tracker: The tracker to create the `FlowExecutor` from. + flows: The flows to use. Returns: The created `FlowExecutor`.""" @@ -509,7 +512,7 @@ def get_value( def _select_next_step_id( self, current: FlowStep, domain: Domain, tracker: "DialogueStateTracker" ) -> Optional[Text]: - """Evaluate the flow links of a step.""" + """Selects the next step id based on the current step.""" next = current.next if len(next.links) == 1 and isinstance(next.links[0], StaticFlowLink): return next.links[0].target @@ -531,8 +534,8 @@ def _select_next_step_id( "must cover all possible cases." ) if current.id != END_STEP: - # no links were selected. This means that the step is the last - # step in the flow and the flow should end. + # we've reached the end of the user defined steps in the flow. + # every flow should end with an end step, so we add it here. return END_STEP else: # we are already at the very end of the flow. There is no next step. From 765df4cfa1b7211a9c06670956129fb4cbb203e7 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Sat, 10 Jun 2023 00:05:19 +0200 Subject: [PATCH 06/45] chat: improved chat --- rasa/core/channels/chat.html | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/rasa/core/channels/chat.html b/rasa/core/channels/chat.html index ac5950201328..9e69fcb675ee 100644 --- a/rasa/core/channels/chat.html +++ b/rasa/core/channels/chat.html @@ -90,6 +90,9 @@

Happy chatting!

}) .then(data => { let storyBlock = document.getElementById("json-data"); + if (storyBlock.textContent === data) { + return; + } storyBlock.textContent = data; if (window.hljs) { hljs.highlightElement(storyBlock); @@ -131,6 +134,9 @@

Happy chatting!

} let trackerUpdate = JSON.stringify(trackerUpdates, null, 2); let updateBlock = document.getElementById("tracker-update"); + if(updateBlock.textContent === trackerUpdate){ + return; + } updateBlock.textContent = trackerUpdate; if (window.hljs) { hljs.highlightElement(updateBlock); From 86225884f17e99fe2c89943544a323ca199086a3 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Sun, 11 Jun 2023 21:56:43 +0200 Subject: [PATCH 07/45] fixed style --- rasa/core/policies/flow_policy.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/rasa/core/policies/flow_policy.py b/rasa/core/policies/flow_policy.py index 216ede4f7bb7..c1409b332b46 100644 --- a/rasa/core/policies/flow_policy.py +++ b/rasa/core/policies/flow_policy.py @@ -148,7 +148,7 @@ def predict_action_probabilities( Returns: The prediction. """ - executor = FlowExecutor.from_tracker(tracker, flows) + executor = FlowExecutor.from_tracker(tracker, flows or FlowsList([])) if tracker.active_loop: # we are in a loop - likely answering a question - we need to check # if the user responded with a trigger intent for another flow rather @@ -432,9 +432,7 @@ def __init__(self, flow_stack: FlowStack, all_flows: FlowsList) -> None: self.all_flows = all_flows @staticmethod - def from_tracker( - tracker: DialogueStateTracker, flows: FlowsList - ) -> FlowExecutor: + def from_tracker(tracker: DialogueStateTracker, flows: FlowsList) -> FlowExecutor: """Creates a `FlowExecutor` from a tracker. Args: From b818ea24bdcc6e48ec7847ecbbef5b3b85e97962 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Tue, 13 Jun 2023 10:07:53 +0200 Subject: [PATCH 08/45] properly access slot value when checking for scope --- rasa/core/policies/flow_policy.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/rasa/core/policies/flow_policy.py b/rasa/core/policies/flow_policy.py index c1409b332b46..ad67a6c2e827 100644 --- a/rasa/core/policies/flow_policy.py +++ b/rasa/core/policies/flow_policy.py @@ -665,7 +665,7 @@ def _select_next_action( if not self._is_step_completed(previous_step, tracker): # TODO: figure out - raise FlowException("Not quite sure what to do here yet.") + raise FlowException(f"Not quite sure what to do here yet. {previous_step}") current_step = self._select_next_step( tracker, domain, previous_step, current_flow.id @@ -726,11 +726,11 @@ def _run_step( if isinstance(step, QuestionFlowStep): slot = tracker.slots.get(step.question, None) initial_value = slot.initial_value if slot else None - if step.skip_if_filled and slot != initial_value: + if step.skip_if_filled and slot.value != initial_value: return ActionPrediction(None, 0.0) question_action = ActionPrediction("question_" + step.question, 1.0) - if slot != initial_value: + if slot.value != initial_value: question_action.events = [SlotSet(step.question, initial_value)] return question_action From ec9c64c9405e45ed525f9f637d31ffe4ffb5ec77 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Tue, 13 Jun 2023 10:23:02 +0200 Subject: [PATCH 09/45] fixed style --- rasa/core/policies/flow_policy.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/rasa/core/policies/flow_policy.py b/rasa/core/policies/flow_policy.py index ad67a6c2e827..a1fba19b57d0 100644 --- a/rasa/core/policies/flow_policy.py +++ b/rasa/core/policies/flow_policy.py @@ -665,7 +665,9 @@ def _select_next_action( if not self._is_step_completed(previous_step, tracker): # TODO: figure out - raise FlowException(f"Not quite sure what to do here yet. {previous_step}") + raise FlowException( + f"Not quite sure what to do here yet. {previous_step}" + ) current_step = self._select_next_step( tracker, domain, previous_step, current_flow.id From 4fecf71647c06a9d719c85241e11197accef1fcf Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Tue, 13 Jun 2023 10:35:44 +0200 Subject: [PATCH 10/45] added default flow continue interrupted utterance --- rasa/cli/initial_project/domain.yml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/rasa/cli/initial_project/domain.yml b/rasa/cli/initial_project/domain.yml index 932195fe3877..2d24633677c7 100644 --- a/rasa/cli/initial_project/domain.yml +++ b/rasa/cli/initial_project/domain.yml @@ -20,6 +20,10 @@ responses: utter_did_that_help: - text: "Did that help you?" + utter_flow_continue_interrupted: + - text: Let's continue with the previous topic {flow_name}. + metadata: {allow_variation: True} + utter_happy: - text: "Great, carry on!" From 660384f6ecb20e035a846eb609b3ba48f411730f Mon Sep 17 00:00:00 2001 From: Thomas Werkmeister Date: Mon, 12 Jun 2023 18:47:32 +0200 Subject: [PATCH 11/45] wip llm steering --- rasa/core/policies/flow_policy.py | 81 ++++++++++++++++++- .../core/policies/flow_prompt_template.jinja2 | 34 ++++++++ rasa/shared/constants.py | 2 + rasa/shared/core/flows/flow.py | 8 ++ rasa/utils/llm.py | 79 ++++++++++++++++++ 5 files changed, 202 insertions(+), 2 deletions(-) create mode 100644 rasa/core/policies/flow_prompt_template.jinja2 create mode 100644 rasa/utils/llm.py diff --git a/rasa/core/policies/flow_policy.py b/rasa/core/policies/flow_policy.py index ad67a6c2e827..c9c65d685d48 100644 --- a/rasa/core/policies/flow_policy.py +++ b/rasa/core/policies/flow_policy.py @@ -3,7 +3,10 @@ from dataclasses import dataclass from enum import Enum from typing import Any, Dict, Text, List, Optional, Union +import re import logging +import importlib.resources +from jinja2 import Template from rasa.core.constants import ( DEFAULT_POLICY_PRIORITY, @@ -48,10 +51,68 @@ from rasa.shared.core.trackers import ( DialogueStateTracker, ) - +from rasa.utils.llm import tracker_as_readable_transcript, generate_text_openai_chat logger = logging.getLogger(__name__) +PROMPT_TEMPLATE = Template( + importlib.resources.read_text("rasa.core.policies", "flow_prompt_template.jinja2")) + +def parse_action_list(actions: str, flows: FlowsList) -> ActionPrediction: + start_flow_actions = [] + slot_sets = [] + slot_set_re = re.compile(r"SetSlot\(([a-zA-Z_][a-zA-Z0-9_-]*?),([^)]*)\)") + start_flow_re = re.compile(r"StartFlow\(([a-zA-Z_][a-zA-Z0-9_-]*?)\)") + for action in actions.strip().splitlines(): + if m := slot_set_re.search(action): + slot_sets.append(SlotSet(m.group(1).strip(), m.group(2).strip())) + elif m:= start_flow_re.search(action): + start_flow_actions.append(m.group(1).strip()) + + if len(start_flow_actions) > 0: + return ActionPrediction(FLOW_PREFIX + start_flow_actions[0], + 1.0, events=slot_sets) + else: + return ActionPrediction(None, 1.0, events=slot_sets) + +def create_flow_inputs(flows: FlowsList) -> List[dict[str, str]]: + result = [] + for flow in flows.underlying_flows: + result.append({ + "name": flow.id, + "description": flow.description, + "slots": ", ".join(flow.slots()) + }) + return result + + +def render_template(tracker: DialogueStateTracker, flows: FlowsList) -> str: + flow_stack = FlowStack.from_tracker(tracker) + top_flow = flow_stack.top_flow(flows) if flow_stack is not None else None + current_step = flow_stack.top_flow_step(flows) if flow_stack is not None else None + if top_flow is not None: + flow_slots = [{ + "name": k, + "value": (tracker.get_slot(k) or "undefined"), + "type": tracker.slots[k].type_name + } for k in top_flow.slots()] + else: + flow_slots = [] + + question = current_step.question \ + if current_step is not None and isinstance(current_step, QuestionFlowStep) \ + else None + + inputs = { + "available_flows": create_flow_inputs(flows), + "current_conversation": tracker_as_readable_transcript(tracker), + "flow_slots": flow_slots, + "current_flow": top_flow.id if top_flow is not None else None, + "question": question + } + + return PROMPT_TEMPLATE.render(**inputs) + class FlowException(Exception): """Exception that is raised when there is a problem with a flow.""" @@ -149,6 +210,21 @@ def predict_action_probabilities( The prediction. """ executor = FlowExecutor.from_tracker(tracker, flows or FlowsList([])) + if len(tracker.events) > 0 and tracker.events[-1].type_name == "user": + logger.info(flows) + flow_prompt = render_template(tracker, flows or FlowsList([])) + logger.info(flow_prompt) + action_list = generate_text_openai_chat(flow_prompt) + logger.info(action_list) + prediction = parse_action_list(action_list, flows or FlowsList([])) + logger.info(prediction) + return self._create_prediction_result( + prediction.action_name, + domain, + prediction.score, + prediction.events, + prediction.metadata, + ) if tracker.active_loop: # we are in a loop - likely answering a question - we need to check # if the user responded with a trigger intent for another flow rather @@ -194,7 +270,7 @@ def _create_prediction_result( if action_name: result[domain.index_for_action(action_name)] = score return self._prediction( - result, optional_events=events, action_metadata=action_metadata + result, events=events, action_metadata=action_metadata ) @@ -663,6 +739,7 @@ def _select_next_action( "to __start__ if it ended it should be popped from the stack." ) + logger.info(previous_step) if not self._is_step_completed(previous_step, tracker): # TODO: figure out raise FlowException(f"Not quite sure what to do here yet. {previous_step}") diff --git a/rasa/core/policies/flow_prompt_template.jinja2 b/rasa/core/policies/flow_prompt_template.jinja2 new file mode 100644 index 000000000000..d0faf489d66e --- /dev/null +++ b/rasa/core/policies/flow_prompt_template.jinja2 @@ -0,0 +1,34 @@ +You are a chatbot that helps our company's customers achieve a variety of tasks. The tasks you can help our customers with are outlined in a format we call flows which is similar to flow diagrams. The user has just send you a new message. Your task is to decide what to do next. + +Here is the necessary context: + +These are the flows that can be started and their description: +{% for flow in available_flows %} +- {{ flow.name }}: {{ flow.description }} (slots: {{ flow.slots }}) +{%- endfor %} + +Here is the current conversation: +{{ current_conversation }} + +{% if flow_slots|length > 0 %} +Here are the currently stored slots with their names and values: +{% for slot in flow_slots %} +- {{ slot.name }}: {{ slot.value }} (type: {{ slot.type }}) +{% endfor %} +{% else %} +There are currently no active slots, however if you start a flow you can already fill +that flow's slots with any information the user provided after starting the flow. +{% endif %} + +{% if current_flow != None %} +You are currently in the flow {{ current_flow }}. +You have just asked the user for {{ question }}. +{% else %} +You are currently not in any flow. +{% endif %} + +Based on this information generate a list of actions you want to take. Your job is to fill slots, start flows, or resolve ambiguities. Any logic of what happens next afterwards is handled by the underlying flow. These are your available actions: +* Slot setting, described by "SetSlot(slot_name, slot_value)". An example would be "SetSlot(recipient, Freddy)" +* Starting another flow, described by "StartFlow(flow_name)". An example would be "StartFlow(transfer_money)" + +The list of actions you would take, with one per line. Strictly adhere to the provided action types above: diff --git a/rasa/shared/constants.py b/rasa/shared/constants.py index 9e437b9561ec..d139fbb2dc0c 100644 --- a/rasa/shared/constants.py +++ b/rasa/shared/constants.py @@ -107,3 +107,5 @@ RESPONSE_CONDITION = "condition" CHANNEL = "channel" + +OPENAI_API_KEY_ENV_VAR = "OPENAI_API_KEY" diff --git a/rasa/shared/core/flows/flow.py b/rasa/shared/core/flows/flow.py index b2bfebcd8b44..c98982079e09 100644 --- a/rasa/shared/core/flows/flow.py +++ b/rasa/shared/core/flows/flow.py @@ -273,6 +273,14 @@ def first_step_in_flow(self) -> Optional[FlowStep]: return None return self.steps[0] + def slots(self) -> List[str]: + """Return the names of the slots used in this flow.""" + result = [] + for step in self.steps: + if isinstance(step, QuestionFlowStep) and step.question not in result: + result.append(step.question) + return result + def step_from_json(flow_step_config: Dict[Text, Any]) -> FlowStep: """Used to read flow steps from parsed YAML. diff --git a/rasa/utils/llm.py b/rasa/utils/llm.py new file mode 100644 index 000000000000..40125fcb770a --- /dev/null +++ b/rasa/utils/llm.py @@ -0,0 +1,79 @@ +from typing import Optional +import os +import json +import requests +import logging + +from rasa_sdk import Tracker + +from rasa.shared.constants import OPENAI_API_KEY_ENV_VAR +from rasa.shared.core.trackers import DialogueStateTracker + +logger = logging.getLogger(__name__) + + +def generate_text_openai_chat(prompt: str, + model: str = "gpt-3.5-turbo") -> Optional[str]: + api_key = os.getenv(OPENAI_API_KEY_ENV_VAR) + response = requests.post("https://api.openai.com/v1/chat/completions", + headers={"Content-Type": "application/json", + "Authorization": f"Bearer {api_key}"}, + json={ + "model": model, + "messages": [ + {"role": "user", "content": prompt} + ]}) + if response.status_code == 200: + return response.json()["choices"][0]["message"]["content"] + else: + # TODO: better error handling, depending on the case, retry connection + logger.error(json.dumps(response.json(), ensure_ascii=False, indent=2)) + return None + + +def tracker_as_readable_transcript( + tracker: DialogueStateTracker, human_prefix: str = "USER", ai_prefix: str = "AI" +) -> str: + """Creates a readable dialogue from a tracker. + + Args: + tracker: the tracker to convert + human_prefix: the prefix to use for human utterances + ai_prefix: the prefix to use for ai utterances + + Example: + >>> tracker = Tracker( + ... sender_id="test", + ... slots=[], + ... events=[ + ... UserUttered("hello"), + ... BotUttered("hi"), + ... ], + ... ) + >>> tracker_as_readable_transcript(tracker) + HUMAN: hello + AI: hi + + Returns: + A string representing the transcript of the tracker""" + transcript = [] + + for event in tracker.events: + if event.type_name == "user": + transcript.append( + f"{human_prefix}: {sanitize_message_for_prompt(event.text)}" + ) + if event.type_name == "bot": + transcript.append(f"{ai_prefix}: {sanitize_message_for_prompt(event.text)}") + return "\n".join(transcript) + + +def sanitize_message_for_prompt(text: Optional[str]) -> str: + """Removes new lines from a string. + + Args: + text: the text to sanitize + + Returns: + A string with new lines removed.""" + return text.replace("\n", " ") if text else "" From 673cc02446996cc4f6f6a8223227049d49f81d58 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Tue, 13 Jun 2023 20:55:07 +0200 Subject: [PATCH 12/45] some docs --- docs/docs/flows.mdx | 162 ++++++++++++++++++++++++++++++ docs/docs/llms/llm-intent.mdx | 0 docs/docs/llms/llm-intentless.mdx | 0 docs/docs/llms/llm-nlg.mdx | 0 docs/sidebars.js | 1 + 5 files changed, 163 insertions(+) create mode 100644 docs/docs/flows.mdx create mode 100644 docs/docs/llms/llm-intent.mdx create mode 100644 docs/docs/llms/llm-intentless.mdx create mode 100644 docs/docs/llms/llm-nlg.mdx diff --git a/docs/docs/flows.mdx b/docs/docs/flows.mdx new file mode 100644 index 000000000000..92f88224cf40 --- /dev/null +++ b/docs/docs/flows.mdx @@ -0,0 +1,162 @@ +--- +id: flows +sidebar_label: Flows +title: Flows +abstract: Flows in Rasa offer a structured way to design conversation-driven business logic. The documentation details the rules for effectively using and managing Flows within Rasa. +--- + +## Overview + +**Flow** is a novel Rasa feature designed to build intuitive, conversation-centric business logic for your chatbots. Flows are primarily devised using Studio's Flow builder. However, as a Rasa core feature, they also offer a YAML counterpart, yielding a specification for creating Flow primitives in YAML. + +In essence, a **Flow** embodies a conversational state machine in the form of a directed graph. The primary building block of a Flow is a **Step**, equivalent to a node in the graph. Each step outlines the potential subsequent steps, which may be associated with certain conditions. Hence, graph vertices are embedded in steps. + +### YAML Specification for Flow + +A Flow is defined using the following structure: + +```yaml +flow: A flow # a name +id: a_flow # an id +description: optional description of a flow +steps: [] # a list of steps +``` + +## Steps + +A `Flow` comprises `step`s. All steps share these common properties: + +```yaml +id: a_required_unique_id +description: an optional human readable description of the step +metadata: {} # an optional dict +next: an id or conditionals to determine which step should be executed next +``` + +Steps can manifest in one of three types: `user_message`, `action`, or `question`. + +### User Message (`user_message`) + +This step signifies a user utterance. Here's an example: + +```yaml +- step: + id: a_required_unique_id + intent: open_bank_account + entities: [] # optional + description: open a bank account + metadata: {} # an optional dict + next: "5" +``` + +In this example, the user intent is to open a bank account. The `next` field indicates the ID of the next step to be taken in the flow, which would be the step with the ID "5". + +A `user_message` step can also support `OR` statements. This means that the flow can proceed if either of the conditions in the `OR` statement are met: + +```yaml +- step: + id: a_required_unique_id + or: + - intent: complaint + entities: [] # optional + - intent: talk_to_agent + entities: [] # optional + description: handle a complaint or talk to an agent + metadata: {} # an optional dict + next: "5" +``` + +Here, if the user intent is either to make a complaint or to talk to an agent, the flow would proceed to the step with ID "5". + +### Action (`action`) + +An `action` step is where the bot performs a specific action or utters a message. Here are two examples: + +```yaml +action: action_xyz +``` + +This could be a custom action where the bot performs a specific function defined in your custom actions script. + +```yaml +action: utter_xyz +``` + +This is an utterance action where the bot sends a predefined message to the user. The message for "utter_xyz" would be defined in the domain file under responses. + +### Question (`question`) + +In a `question` step, the bot asks a question, with the aim usually being to fill a slot. Here is an example: + +```yaml +question: account_type # slot name +``` + +In this example, the bot is + + asking the user to provide their account type. The response will be used to fill the "account_type" slot. + +A question can be configured to be skipped if the slot is already filled, as shown below: + +```yaml +question: first_name # slot name +skip_if_filled: true +``` + +In this scenario, if the "first_name" slot is already filled, the bot will skip this question. + +The slot can also be configured to be cleared at the end of the flow execution. The following configuration would clear the slot when a leaf of the flow is reached OR when exiting a `link`ed node: + +```yaml +question: yes_or_no # slot name +scope: flow | global +``` + +For the `slot_type`, it's recommended to use `text` slots in Flows. + +### Scope (`scope`) + +Scopes determine the lifespan of a slot or variable. There are two types of scopes available: + +- **flow**: The variable exists only for the duration of the flow. Once the flow ends, the variable ceases to exist. +- **global**: The variable persists across flows until it is explicitly changed. + +### Fill (`fill`) + +`Fill` refers to the process of filling slots based on user responses. It is a simplified version of slot mapping. Below is an example of mapping from entities: + +```yaml +fill: + entity: entity_name + window: question | flow | global +``` + +Here, the "entity_name" entity from the user's message is extracted and used to fill a corresponding slot. + +Or mapping from intent (or button payload): + +```yaml +fill: + intent: affirm + value: "true" + window: question +``` + +Here, if the user's intent is "affirm", the corresponding slot will be filled with the value "true". + +### Next (`next`) + +The `next` field in steps allows for branching logic. For instance: + +```yaml +- step: + id: "2" + question: Do you have any other questions? + next: + - intent: affirm + id: "3" + - intent: deny + id: "4" +``` + +In this example, depending on whether the user's intent is "affirm" or "deny", the flow will proceed to step "3" or "4", respectively. This allows you to create complex and dynamic conversational flows that adapt to user inputs. \ No newline at end of file diff --git a/docs/docs/llms/llm-intent.mdx b/docs/docs/llms/llm-intent.mdx new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/docs/docs/llms/llm-intentless.mdx b/docs/docs/llms/llm-intentless.mdx new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/docs/docs/llms/llm-nlg.mdx b/docs/docs/llms/llm-nlg.mdx new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/docs/sidebars.js b/docs/sidebars.js index f9451b4594ce..6ae598ce4eed 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -109,6 +109,7 @@ module.exports = { 'rules', ], }, + 'flows', 'domain', { type: 'category', From 4762a765f484db947c9f884904db95446229d5d0 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Tue, 13 Jun 2023 22:04:33 +0200 Subject: [PATCH 13/45] run rule within flow --- rasa/core/policies/flow_policy.py | 149 ++++++++++++------ .../validators/default_recipe_validator.py | 12 +- 2 files changed, 109 insertions(+), 52 deletions(-) diff --git a/rasa/core/policies/flow_policy.py b/rasa/core/policies/flow_policy.py index c9c65d685d48..b07ba56c8e12 100644 --- a/rasa/core/policies/flow_policy.py +++ b/rasa/core/policies/flow_policy.py @@ -14,6 +14,7 @@ POLICY_PRIORITY, ) from pypred import Predicate +from rasa.core.policies.rule_policy import RulePolicy from rasa.shared.constants import FLOW_PREFIX from rasa.shared.nlu.constants import ENTITY_ATTRIBUTE_TYPE, INTENT_NAME_KEY from rasa.shared.core.constants import ( @@ -56,7 +57,9 @@ logger = logging.getLogger(__name__) PROMPT_TEMPLATE = Template( - importlib.resources.read_text("rasa.core.policies", "flow_prompt_template.jinja2")) + importlib.resources.read_text("rasa.core.policies", "flow_prompt_template.jinja2") +) + def parse_action_list(actions: str, flows: FlowsList) -> ActionPrediction: start_flow_actions = [] @@ -66,23 +69,27 @@ def parse_action_list(actions: str, flows: FlowsList) -> ActionPrediction: for action in actions.strip().splitlines(): if m := slot_set_re.search(action): slot_sets.append(SlotSet(m.group(1).strip(), m.group(2).strip())) - elif m:= start_flow_re.search(action): + elif m := start_flow_re.search(action): start_flow_actions.append(m.group(1).strip()) if len(start_flow_actions) > 0: - return ActionPrediction(FLOW_PREFIX + start_flow_actions[0], - 1.0, events=slot_sets) + return ActionPrediction( + FLOW_PREFIX + start_flow_actions[0], 1.0, events=slot_sets + ) else: return ActionPrediction(None, 1.0, events=slot_sets) + def create_flow_inputs(flows: FlowsList) -> List[dict[str, str]]: result = [] for flow in flows.underlying_flows: - result.append({ - "name": flow.id, - "description": flow.description, - "slots": ", ".join(flow.slots()) - }) + result.append( + { + "name": flow.id, + "description": flow.description, + "slots": ", ".join(flow.slots()), + } + ) return result @@ -91,24 +98,29 @@ def render_template(tracker: DialogueStateTracker, flows: FlowsList) -> str: top_flow = flow_stack.top_flow(flows) if flow_stack is not None else None current_step = flow_stack.top_flow_step(flows) if flow_stack is not None else None if top_flow is not None: - flow_slots = [{ - "name": k, - "value": (tracker.get_slot(k) or "undefined"), - "type": tracker.slots[k].type_name - } for k in top_flow.slots()] + flow_slots = [ + { + "name": k, + "value": (tracker.get_slot(k) or "undefined"), + "type": tracker.slots[k].type_name, + } + for k in top_flow.slots() + ] else: flow_slots = [] - question = current_step.question \ - if current_step is not None and isinstance(current_step, QuestionFlowStep) \ + question = ( + current_step.question + if current_step is not None and isinstance(current_step, QuestionFlowStep) else None + ) inputs = { "available_flows": create_flow_inputs(flows), "current_conversation": tracker_as_readable_transcript(tracker), "flow_slots": flow_slots, "current_flow": top_flow.id if top_flow is not None else None, - "question": question + "question": question, } return PROMPT_TEMPLATE.render(**inputs) @@ -188,6 +200,34 @@ def train( # or do some preprocessing here. return self.resource + @staticmethod + def _is_first_prediction_after_user_message(tracker: DialogueStateTracker) -> bool: + """Checks whether the tracker ends with an action listen. + If the tracker ends with an action listen, it means that we've just received + a user message. + Args: + tracker: The tracker. + Returns: + `True` if the tracker is the first one after a user message, `False` + otherwise. + """ + return tracker.latest_action_name == ACTION_LISTEN_NAME + + def _llm_state_update( + self, tracker: DialogueStateTracker, flows: Optional[FlowsList] + ) -> ActionPrediction: + if self._is_first_prediction_after_user_message(tracker): + logger.info(flows) + flow_prompt = render_template(tracker, flows or FlowsList([])) + logger.info(flow_prompt) + action_list = generate_text_openai_chat(flow_prompt) + logger.info(action_list) + prediction = parse_action_list(action_list, flows or FlowsList([])) + logger.info(prediction) + return prediction + else: + return ActionPrediction(None, 0.0) + def predict_action_probabilities( self, tracker: DialogueStateTracker, @@ -210,14 +250,11 @@ def predict_action_probabilities( The prediction. """ executor = FlowExecutor.from_tracker(tracker, flows or FlowsList([])) - if len(tracker.events) > 0 and tracker.events[-1].type_name == "user": - logger.info(flows) - flow_prompt = render_template(tracker, flows or FlowsList([])) - logger.info(flow_prompt) - action_list = generate_text_openai_chat(flow_prompt) - logger.info(action_list) - prediction = parse_action_list(action_list, flows or FlowsList([])) - logger.info(prediction) + + collected_events = [] + + prediction = self._llm_state_update(tracker, flows) + if prediction.action_name is not None: return self._create_prediction_result( prediction.action_name, domain, @@ -225,26 +262,17 @@ def predict_action_probabilities( prediction.events, prediction.metadata, ) - if tracker.active_loop: - # we are in a loop - likely answering a question - we need to check - # if the user responded with a trigger intent for another flow rather - # than answering the question - prediction = executor.consider_flow_switch(tracker) - return self._create_prediction_result( - action_name=prediction.action_name, - domain=domain, - score=prediction.score, - events=[], - action_metadata=prediction.metadata, - ) + else: + collected_events.extend(prediction.events or []) # create executor and predict next action prediction = executor.advance_flows(tracker, domain) + collected_events.extend(prediction.events or []) return self._create_prediction_result( prediction.action_name, domain, prediction.score, - prediction.events, + collected_events, prediction.metadata, ) @@ -269,9 +297,7 @@ def _create_prediction_result( result = self._default_predictions(domain) if action_name: result[domain.index_for_action(action_name)] = score - return self._prediction( - result, events=events, action_metadata=action_metadata - ) + return self._prediction(result, events=events, action_metadata=action_metadata) @dataclass @@ -740,9 +766,17 @@ def _select_next_action( ) logger.info(previous_step) - if not self._is_step_completed(previous_step, tracker): - # TODO: figure out - raise FlowException(f"Not quite sure what to do here yet. {previous_step}") + predicted_action = self._wrap_up_previous_step( + current_flow, previous_step, tracker + ) + gathered_events.extend(predicted_action.events or []) + + if predicted_action.action_name: + # if the previous step predicted an action, we'll stop here + # the step is not completed yet and we need to predict the + # action first before we can try again to wrap up this step and + # advance to the next one + break current_step = self._select_next_step( tracker, domain, previous_step, current_flow.id @@ -778,6 +812,33 @@ def _reset_scoped_slots( events.append(SlotSet(step.question, initial_value)) return events + def _wrap_up_previous_step( + self, + flow: Flow, + step: FlowStep, + tracker: DialogueStateTracker, + ) -> ActionPrediction: + """Try to wrap up the previous step. + + Args: + current_flow: The current flow. + step: The previous step. + tracker: The tracker to run the step on. + + Returns: + The predicted action and the events to run.""" + if isinstance(step, QuestionFlowStep): + # the question is only finished once the slot is set and the loop + # is finished + active_loop_name, _ = RulePolicy._find_action_from_loop_happy_path(tracker) + if active_loop_name: + # loop is not yet done + return ActionPrediction(active_loop_name, 1.0) + else: + return ActionPrediction(None, 0.0) + else: + return ActionPrediction(None, 0.0) + def _run_step( self, flow: Flow, diff --git a/rasa/graph_components/validators/default_recipe_validator.py b/rasa/graph_components/validators/default_recipe_validator.py index 1d2aab15f702..43e6fdeb2604 100644 --- a/rasa/graph_components/validators/default_recipe_validator.py +++ b/rasa/graph_components/validators/default_recipe_validator.py @@ -383,7 +383,7 @@ def _validate_core(self, story_graph: StoryGraph, domain: Domain) -> None: if not self._policy_schema_nodes: return self._warn_if_no_rule_policy_is_contained() - self._raise_if_domain_contains_form_names_but_no_rule_policy_given(domain) + self._warn_if_domain_contains_form_names_but_no_rule_policy_given(domain) self._raise_if_a_rule_policy_is_incompatible_with_domain(domain) self._validate_policy_priorities() self._warn_if_rule_based_data_is_unused_or_missing(story_graph=story_graph) @@ -400,14 +400,10 @@ def _warn_if_no_rule_policy_is_contained(self) -> None: docs=DOCS_URL_DEFAULT_ACTIONS, ) - def _raise_if_domain_contains_form_names_but_no_rule_policy_given( + def _warn_if_domain_contains_form_names_but_no_rule_policy_given( self, domain: Domain ) -> None: - """Validates that there exists a rule policy if forms are defined. - - Raises: - `InvalidConfigException` if domain and rule policies do not match - """ + """Validates that there exists a rule policy if forms are defined.""" contains_rule_policy = any( schema_node for schema_node in self._graph_schema.nodes.values() @@ -415,7 +411,7 @@ def _raise_if_domain_contains_form_names_but_no_rule_policy_given( ) if domain.form_names and not contains_rule_policy: - raise InvalidDomain( + rasa.shared.utils.io.raise_warning( "You have defined a form action, but have not added the " f"'{RulePolicy.__name__}' to your policy ensemble. " f"Either remove all forms from your domain or add the " From 55cf52ea25ce98b401046515b8e8bcd4f7207261 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Wed, 14 Jun 2023 08:54:25 +0200 Subject: [PATCH 14/45] Update rasa/core/actions/flows.py --- rasa/core/actions/flows.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/rasa/core/actions/flows.py b/rasa/core/actions/flows.py index a36e896f9ee0..3fc98989da0c 100644 --- a/rasa/core/actions/flows.py +++ b/rasa/core/actions/flows.py @@ -72,7 +72,7 @@ async def run( class ActionFlowContinueInterupted(action.Action): - """Action which implements and executes the form logic.""" + """Action triggered when an interrupted flow is continued.""" def name(self) -> Text: """Return the flow name.""" From e73ed794b037db08471f655fd560508c0720c954 Mon Sep 17 00:00:00 2001 From: Tom Bocklisch Date: Wed, 14 Jun 2023 17:03:51 +0200 Subject: [PATCH 15/45] added some docs --- docs/docs/llms/large-language-models.mdx | 10 + docs/docs/llms/llm-intent.mdx | 6 + docs/docs/llms/llm-intentless.mdx | 6 + docs/docs/llms/llm-nlg-example.png | Bin 0 -> 340400 bytes docs/docs/llms/llm-nlg.mdx | 215 ++++++++++++++++++++++ docs/docs/llms/llm-setup.mdx | 6 + docs/docs/llms/llm-usage-architecture.png | Bin 0 -> 11333510 bytes docs/sidebars.js | 13 ++ rasa/core/channels/chat.html | 17 +- 9 files changed, 265 insertions(+), 8 deletions(-) create mode 100644 docs/docs/llms/large-language-models.mdx create mode 100644 docs/docs/llms/llm-nlg-example.png create mode 100644 docs/docs/llms/llm-setup.mdx create mode 100644 docs/docs/llms/llm-usage-architecture.png diff --git a/docs/docs/llms/large-language-models.mdx b/docs/docs/llms/large-language-models.mdx new file mode 100644 index 000000000000..9bee0c192b71 --- /dev/null +++ b/docs/docs/llms/large-language-models.mdx @@ -0,0 +1,10 @@ +--- +id: large-language-models +sidebar_label: Using LLMs in Rasa +title: Using LLMs +abstract: +--- + +import llmUsageArchitecture from './llm-usage-architecture.png'; + + diff --git a/docs/docs/llms/llm-intent.mdx b/docs/docs/llms/llm-intent.mdx index e69de29bb2d1..484f9edadc32 100644 --- a/docs/docs/llms/llm-intent.mdx +++ b/docs/docs/llms/llm-intent.mdx @@ -0,0 +1,6 @@ +--- +id: llm-intent +sidebar_label: Intent Classification with LLMs +title: Using LLMs for Intent Classification +abstract: +--- diff --git a/docs/docs/llms/llm-intentless.mdx b/docs/docs/llms/llm-intentless.mdx index e69de29bb2d1..c65b288c2418 100644 --- a/docs/docs/llms/llm-intentless.mdx +++ b/docs/docs/llms/llm-intentless.mdx @@ -0,0 +1,6 @@ +--- +id: llm-intentless +sidebar_label: Dialogue Handling using LLMs +title: LLMs for Dialogue Handling +abstract: +--- diff --git a/docs/docs/llms/llm-nlg-example.png 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If you are +interested in using this feature, please contact us at +[rasa.com/contact](https://rasa.com/contact). + +The functionality might be changed or removed in the future. +::: + + + +## Key Features + +1. **Guardrails**: Using an LLM to rephrase static response templates ensures + that the generated responses are always relevant to the conversation and + provide more control than free-form generation. +2. **Dynamic Responses**: By employing the LLM to rephrase static response + templates, the responses generated by your bot will sound more natural and + conversational, enhancing user interaction. +3. **Contextual Awareness**: The LLM uses the context and previous conversation + to rephrase the template, making the chatbot better understand and engage + with users. +4. **Easy to Implement**: The LLM is easy to implement and can be used with + existing chatbots without any changes to the interaction flow. + +## Demo + +The following example shows a demo of a chatbot using the LLM to rephrase static +response templates. Both, the right and left hand side of the conversation +show the same bot, the only difference is that the left hand side uses the LLM +to rephrase the response templates. + +import llmNlgExample from './llm-nlg-example.png'; + + + +:::info + +The interaction flow, such as intents, slots, and actions, remains the same +whether the LLM is used or not. The LLM only modifies the responses sent back to +the user. + +::: + +## How to Use Rephrasing in Your Bot + +Using rephrasing in your assistant requires a modification to your +`endpoints.yml` file as follows: + +```yaml-rasa title="endpoints.yml" +nlg: + type: rasa_plus.ml.LLMResponseRephraser +``` + +By default, rephrasing is only enabled for responses that specify +`allow_rephrasing: true` in the response template. To enable rephrasing +for a response, add this property to the responses metadata: + +```yaml-rasa title="domain.yml" +responses: + utter_greet: + - text: "Hey! How can I help you?" + metadata: + allow_rephrasing: true +``` + +If you want to enable rephrasing for all responses, you can set the +`rephrase_all` property to `true` in the `endpoints.yml` file: + +```yaml-rasa title="endpoints.yml" +nlg: + type: rasa_plus.ml.LLMResponseRephraser + rephrase_all: true +``` + +This implementation uses a custom Natural Language Generator based on templated +responses. When a template is predicted, a prompt is created for the LLM to +rephrase the template given the current conversation. The rephrased prompt is +then returned as the response instead of the predicted template response. + +## Customizing + +You can customize the LLM by modifying the following parameters in the +`endpoints.yml` file. + +### Rephrasing all responses +Instead of enabling rephrasing per response, you can enable it for all +responses by setting the `rephrase_all` property to `true` in the +`endpoints.yml` file: + +```yaml-rasa title="endpoints.yml" +nlg: + type: rasa_plus.ml.LLMResponseRephraser + rephrase_all: true +``` + +Defaults to `false`. Setting this property to `true` will enable rephrasing for +all responses, even if they don't specify `allow_rephrasing: true` in the +response metadata. If you want to disable rephrasing for a specific response, +you can set `allow_rephrasing: false` in the response metadata. + +### OpenAI Model +You can specify the openai model to use for rephrasing by setting the +`model_name` property in the `endpoints.yml` file: + +```yaml-rasa title="endpoints.yml" +nlg: + type: rasa_plus.ml.LLMResponseRephraser + model_name: text-davinci-003 +``` + +Defaults to `text-davinci-003`. The model name needs to be set to a generative +model using the completions API of [OpenAI](https://platform.openai.com/docs/guides/gpt/completions-api). + +### Temperature +The temperature allows you to control the diversity of the generated responses. +You can specify the temperature to use for rephrasing by setting the +`temperature` property in the `endpoints.yml` file: + +```yaml-rasa title="endpoints.yml" +nlg: + type: rasa_plus.ml.LLMResponseRephraser + temperature: 0.7 +``` + +Defaults to `0.7`. The temperature is a value between 0 and 1 that controls the +diversity of the generated responses. Lower temperatures result in more +predictable responses, while higher temperatures result in more surprising +responses. + +### Prompt +You can change the prompt used to rephrase the response by setting the +`prompt` property in the `endpoints.yml` file: + +```yaml-rasa title="endpoints.yml" +nlg: + type: rasa_plus.ml.LLMResponseRephraser + prompt: | + The following is a conversation with + an AI assistant. The assistant is helpful, creative, clever, and very friendly. + Rephrase the AI response staying close to the original message and retaining + its meaning. Use simple english. + + Summary of the conversation: + {{history}} + + {{current_input}} + AI Response: {{suggested_response}} + + Rephrased Response: +``` + +The prompt is a [Jinja2](https://jinja.palletsprojects.com/en/3.0.x/) template +that can be used to customize the prompt. The following variables are available +in the prompt: + +- `history`: The conversation history as a summary of the prior conversation, e.g. + ``` + User greeted the assistant. + ``` +- `current_input`: The current user input, e.g. + ``` + HUMAN: I want to open a bank account + ``` +- `suggested_response`: The suggested response from the LLM. e.g. + ``` + What type of account would you like to open? + ``` + +## Observations + +Rephrasing responses is a great way to enhance your chatbot's responses. Here +are some observations to keep in mind when using the LLM: + +### Success Cases + +LLM shows great potential in the following scenarios: + +- **Repeated Responses**: When the bot cannot understand or process a request, + it tends to repeat the same response. With LLMs, these repetitions sound more + natural and less robotic. + +- **General Conversation**: Overall, responses generated by LLM feel more + conversational, even if the original templated response isn't well-crafted. + This significantly lowers the bar for creating well-formulated responses. + +### Limitations + +While the LLM delivers impressive results, there are a few situations where it +may fall short: + +- **Structured Responses**: If the template response contains structured + information (e.g., bullet points), this structure might be lost during + rephrasing. We are working on resolving this limitation of the current system. + +- **Meaning Alteration**: In some cases, rephrasing might slightly change the + original meaning of the message. We are working on addressing this issue to + ensure consistent information delivery. diff --git a/docs/docs/llms/llm-setup.mdx b/docs/docs/llms/llm-setup.mdx new file mode 100644 index 000000000000..cf8994f454a4 --- /dev/null +++ b/docs/docs/llms/llm-setup.mdx @@ -0,0 +1,6 @@ +--- +id: llm-setup +sidebar_label: Setting up LLMs +title: Setting up LLMs +abstract: +--- \ No newline at end of file diff --git a/docs/docs/llms/llm-usage-architecture.png b/docs/docs/llms/llm-usage-architecture.png new file mode 100644 index 0000000000000000000000000000000000000000..9af16061ccc66c95c015723aeca4630acb793823 GIT binary patch literal 11333510 zcmafa2|U#6_y1?Cm5{4zXOv1MhOsk7CDfHADk*D>C2MBvW00b0042aQc}{gR#H{6x3PEBaWFAOowGta*qFF!i37m#5T{2)YGqmn zKWnCFH_F{-;^l!qP-_0N&-u2c&_QL<%d{yvk+{9K*dr&jZ?o#2ScYCJ)pK}%|FXkv zhXd#6S-PX;PUKp;_Jm*VJls<;M3IR`=joSlYjFyZsE&_44Y~N~MRs%kpog!2tj-(r zj8_S#_N`M2Cgz(Kdo=IssTVjO=+M*;uNMh-j-}G^q8PNqRYh`9dYjJ#akBM=JP5N5 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