Then use a data action or another source to retrieve the values during the bot conversation and store them in a string collection variable. That said, scoped slots are still useful in cases where we need to both encapsulate logic and compose visual output, like in the example. In fact, this is very close to how scoped slots are compiled, and how you would use scoped slots in manual render functions. However, there are cases where it could be useful if a slot’s content can make use of data from both the parent scope and the child scope. To achieve that, we need a way for the child to pass data to a slot when rendering it.
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- Slot Fill is heavily inspired by the react-slot-fill library, but uses React’s own portal rendering API.
- You can define a custom slot type and use that location slot to map locations in your utterances.
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If your custom slot type data is a set of predefined words in the utterance, say like location names, use the list slot type. List slot types help you define the set of words that the bot must recognize to capture a slot. The config key in the domain file maintains the store_entities_as_slots parameter. This parameter is used only in the context of reading stories and turning them into trackers.
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Slot mappings are specified as a YAML list of dictionaries under the key mappings in the domain file. Slot mappings are prioritized in the order they are listed in the domain. The first slot mapping found to apply will be used to fill the slot. Slots are defined in the slots section of your domain with their name,
type and if and how they should influence the assistant’s
behavior. The following example defines a slot with name “slot_name”, type text and
predefined slot mapping from_entity. In this example, the bot author wants to add slots and slot types for automobile manufacturers.
At the root of your application, you must render a SlotFillProvider which coordinates Slot and Fill rendering. Slot Fill is heavily inspired by the react-slot-fill library, but uses React’s own portal rendering API. If requested_slot is not mentioned,
then the slot will be set if relevant information is extracted, regardless of which slot is being
requested by the form.
If intent_name is None, the slot will be filled regardless of intent name. Otherwise, the slot will only be filled if the user’s intent is intent_name. Excluded entities for intents will be unfeaturized and therefore
will not impact the next action predictions. This is useful when you have
an intent where you don’t care about the entities being picked up. Excluded entities for those intents will be unfeaturized and therefore
will not impact the next action predictions.
It is a pattern for component extensibility, where a single Slot may be occupied by an indeterminate number of Fills elsewhere in the application. You can define the period of inactivity after which a new conversation
session is triggered in the domain under the session_config key. This limitation exists to prevent a form from filling multiple required slots with the same extracted entity value.
If you list your intents without this parameter, and without setting
influence_conversation to false for any entities, all entities will be