notice
This is unreleased documentation for Rasa Documentation Main/Unreleased version.
For the latest released documentation, see the latest version (3.x).
Actions
When a Rasa assistant calls a custom action, it sends a request to the action server. Rasa only knows about whatever events and responses come back in the request response; it's up to the action server to call the correct code based on the action name that Rasa provides.
To better understand what happens when Rasa calls a custom action, consider the following example:
You have deployed a weather bot to both Facebook and Slack. The user
can ask for the weather with the intent ask_weather
. There is a slot location
which will be filled if the user has specified a location.
The action action_tell_weather
will use an API to get the weather forecast ,
using a default location if the user doesn't specify one.
The action will set the temperature
to the maximum temperature of the weather forecast.
The message returned will differ according to the channel they are using.
Compressed body in HTTP requests
Rasa has the capability to compress the HTTP request body for custom actions.
By default, this option is off to keep backward compatibility with older versions of
custom action servers which did not receive the compressed body in the HTTP request for custom actions.
To enable this option, set environment variable COMPRESS_ACTION_SERVER_REQUEST to True
.
Rasa SDK versions 3.2.2
, 3.3.1
, 3.4.1
and upwards,
support both compressed and non-compressed body in the HTTP request for
running custom action server. There is no additional setup required.
Custom Action Input
Your action server receives the following payload from the Rasa server:
next_action
The next_action
field tells your action server what action to run.
Your actions don't have to be implemented as classes, but they do have
to be callable by name.
In the example case, your action server should run the action action_tell_weather
.
sender_id
The sender_id
tells you the unique ID of the
user having the conversation. Its format varies according to the input channel.
What it tells you about the user also depends on the input channel and how
the user is identified by the channel.
In the example case, the sender_id
is not used for anything.
tracker
The tracker
contains information about the conversation, including a history of events
and a record of all slots:
sender_id
: The samesender_id
as is available in the top level of the payloadslots
: Each slot in your bot's domain and its value at the current timelatest_message
: The attributes of the latest messagelatest_event_time
: The timestamp at which the last event was added to the trackerfollowup_action
: The action called was a forced follow up actionpaused
: Whether the conversation is currently pausedevents
: A list of all previous eventslatest_input_channel
: The input channel from which the last user message was receivedactive_form
: The name of the currently active form, if anylatest_action_name
: The name of the last action the bot executed
In the example case, your custom action uses the value of the location
slot (if it is set)
to get the weather forecast. It also checks the latest_input_channel
property
and formats the message payload so that it will display correctly in Facebook Messenger.
domain
The domain
is a json representation of your domain.yaml
file.
It is unlikely that a custom action
will refer to its contents, as they are static and do not indicate the state
of the conversation.
You can control if an action should receive a domain or not. Visit selective-domain
version
This is the version of the Rasa server. A custom action is also unlikely to refer to this, although you might use it in a verification step if your action server is only compatible with certain Rasa versions.
Custom Action Output
The Rasa server expects a dictionary of events
and responses
as a response
to a custom action call.
events
Events are how your action server can influence the conversation.
In the example case, your custom action should store the maximum temperature
in the temperature
slot, so it needs to return a slot
event. To set the
slot and do nothing else, your response payload would look like this:
Note that events will be applied to the tracker in the order you list them; with slot
events, the order won't matter, but with other event types it can.
responses
A response can be of any of the response types described in the documentation on rich responses. See the response sample of the API spec for the expected formats.
In the example case, you want to send the user a message with the weather forecast. To send a regular text message, the response payload would look like this:
However, you want to make use of your channels' specific capabilities. Since
the latest_input_channel
was Facebook, you add a response with
a custom payload that will be rendered as a media message according to Facebook's API spec.
Your response payload then looks like this:
When this response is sent back to
the Rasa server, Rasa will apply the slot
event and two responses to the tracker,
and return both messages to the user.
Special Action Types
There are special action types that are automatically triggered under certain circumstances, namely default actions and slot validation actions. These special action types have predefined naming conventions that must be followed to maintain the automatic triggering behavior.
You can customize a default action by implementing a custom action with exactly the same name. Please see the docs on default actions for the expected behavior of each action.
Slot validation actions are run on every user turn, depending on whether a form is active or not.
A slot validation action that should run when a form is not active must be called action_validate_slot_mappings
.
A slot validation action that should run when a form is active must be called validate_<form name>
.
These actions are expected to return SlotSet
events only and to behave like the Rasa SDK ValidationAction
class
and FormValidationAction
class respectively.