Change Log¶

Added¶

Changed¶

Removed¶

Fixed¶

Fixed¶

• visualisation using Networkx version 2.x
• add output about line of failing intent when parsing story files

Fixed¶

• Pypi readme rendering

Added¶

• log bot utterances to tracker

Fixed¶

• documentation improvements in README
• renamed interpreter argument to rasa core server

Fixed¶

• moodbot example train command in docs

Changed¶

• “sender_id” (and “DEFAULT_SENDER_ID”) keyword consistency issue #56

Fixed¶

• improved moodbot example - more nlu examples as well as better fitting of dialogue model

Changed¶

• added method to tracker to retrieve the latest entities #68

Added¶

• parameter to specify font size when rendering story visualization

Fixed¶

• fixed documentation of story visualization

Added¶

• added facebook bot example
• added support for conditional checkpoints. a checkpoint can be restricted to only allow one to use it if certain slots are set. see docs for details
• utterance templates in domain yaml support buttons and images
• validate domain yaml and raise exception on invalid file
• run script to load models and handle messages from an input channel

Changed¶

• small dropout in standard keras model to decrease reliance on exact intents
• a LOT of documentation improvements

Fixed¶

• fixed http error if action listen is not confirmed. #42

Fixed¶

• issues with restart events. They created wrong a messed up history leading to wrong predictions

Added¶

• support for Rasa Core usage as a server with remote action execution

Changed¶

• switched to max code line length 80
• removed action id - use action.name() instead. if an action implementation overrides the name, it should include the action_ prefix (as it is not automatically added anymore)
• renamed rasa_dm.util to rasa_dm.utils
• renamed the whole package to rasa_core (so rasa_dm is gone!)
• renamed Reminder attribute id to name
• a lot of documentation improvements. docs are now at https://core.rasa.ai
• use hashing when writing memorized turns into persistence - requires retraining of all models that are trained with a version prior to this
• changed agent.handle_message(...) interface for easier usage

Added¶

• support for multiple policies (e.g. one memoization and a Keras policy at the same time)
• loading domains from yaml files instead of defining them with python code
• added an api layer (called Agent) for you to use for 95% of the things you want to do (training, persistence, loading models)
• support for reminders

Changed¶

• large refactoring of code base

Added¶

• ScoringPolicy added to policy implementations (less strict than standard default policy)
• RasaNLUInterpreter to run a nlu instance within dm (instead of using the http interface)
• more tests

Changed¶

• UserUtterance now holds the complete parse data from nlu (e.g. to access attributes other than entities or intent)
• Turn has a reference to a UserUtterance instead of directly storing intent & entities (allows access to other data)
• Simplified interface of output channels
• order of actions in the DefaultPolicy in possible_actions (ActionListen now always has index 0)

Fixed¶

• RedisTrackerStore checks if tracker is stored before accessing it (otherwise a None access exception is thrown)
• RegexInterpreter checks if the regex actually matches the message instead of assuming it always does
• str implementation for all events
• Controller can be started without an input channel (e.g. messages need to be fed into the queue manually)