Rasa Change Log

All notable changes to this project will be documented in this file. This project adheres to Semantic Versioning starting with version 1.0.

[Unreleased 1.4.7]

Added

Changed

Removed

Fixed

[1.4.6] - 2019-11-22

Fixed

• Fixed Rasa X not working when any tracker store was configured for Rasa.
• Use the matplotlib backend agg in case the tkinter package is not installed.

[1.4.5] - 2019-11-14

Fixed

• NLU-only models no longer throw warnings about parsing features not defined in the domain
• Fixed bug that stopped Dockerfiles from building version 1.4.4.
• Fixed format guessing for e2e stories with intent restated as /intent

[1.4.4] - 2019-11-13

Added

• PikaEventProducer adds the RabbitMQ App ID message property to published messages with the value of the RASA_ENVIRONMENT environment variable. The message property will not be assigned if this environment variable isn’t set.

Changed

• Updated Mattermost connector documentation to be more clear.
• Updated format strings to f-strings where appropriate.
• Updated tensorflow requirement to 1.15.0
• Dump domain using UTF-8 (to avoid \UXXXX sequences in the dumped files)

Fixed

• Fixed exporting NLU training data in json format from rasa interactive
• Fixed numpy deprecation warnings

[1.4.3] - 2019-10-29

Fixed

• Fixed Connection reset by peer errors and bot response delays when using the RabbitMQ event broker.

[1.4.2] - 2019-10-28

Removed

• TensorFlow deprecation warnings are no longer shown when running rasa x

Fixed

• Fixed 'Namespace' object has no attribute 'persist_nlu_data' error during interactive learning
• Pinned networkx~=2.3.0 to fix visualization in rasa interactive and Rasa X
• Fixed No model found error when using rasa run actions with “actions” as a directory.

[1.4.1] - 2019-10-22

Regression: changes from 1.2.12 were missing from 1.4.0, readded them.

[1.4.0] - 2019-10-19

Added

• add flag to CLI to persist NLU training data if needed
• log a warning if the Interpreter picks up an intent or an entity that does not exist in the domain file.
• added DynamoTrackerStore to support persistence of agents running on AWS
• added docstrings for TrackerStore classes
• added buttons and images to mattermost.
• CRFEntityExtractor updated to accept arbitrary token-level features like word vectors (issues/4214)
• SpacyFeaturizer updated to add ner_features for CRFEntityExtractor
• Sanitizing incoming messages from slack to remove slack formatting

Changed

• Unknown sections in markdown format (NLU data) are not ignored anymore, but instead an error is raised.
• It is now easier to add metadata to a UserMessage in existing channels.
• Tests can now be run in parallel.
• Serialise DialogueStateTracker as json instead of pickle. DEPRECATION warning: Deserialization of pickled trackers will be deprecated in version 2.0.
• Event brokers are now also passed to custom tracker stores (using the event_broker parameter).
• Don’t run the Rasa Docker image as root.
• Use multi-stage builds to reduce the size of the Rasa Docker image.
• Updated the /status api route to use the actual model file location instead of the tmp location.

Removed

• Removed Python 3.5 support

Fixed

• fixed missing tkinter dependency for running tests on Ubuntu
• fixed issue with conversation JSON serialization
• fixed the hanging HTTP call with ner_duckling_http pipeline
• fixed Interactive Learning intent payload messages saving in nlu files
• fixed DucklingHTTPExtractor dimensions by applying to the request.

[1.3.10] - 2019-10-18

Added

• Can now pass a package as an argument to the --actions parameter of the rasa run actions command.

Fixed

• Fixed visualization of stories with entities which led to a failing visualization in Rasa X.

[1.3.9] - 2019-10-10

Added

• Port of 1.2.10 (support for RabbitMQ TLS authentication and port key in event broker endpoint config).
• Port of 1.2.11 (support for passing a CA file for SSL certificate verification via the –ssl-ca-file flag).

Fixed

• Fixed the hanging HTTP call with ner_duckling_http pipeline.
• Fixed text processing of intent attribute inside CountVectorFeaturizer.
• Fixed argument of type 'NoneType' is not iterable when using rasa shell, rasa interactive / rasa run.

[1.3.8] - 2019-10-08

Changed

• Policies now only get imported if they are actually used. This removes TensorFlow warnings when starting Rasa X.

Fixed

• Fixed error Object of type 'MaxHistoryTrackerFeaturizer' is not JSON serializable when running rasa train core.
• Default channel send_ methods no longer support kwargs as they caused issues in incompatible channels.

[1.3.7] - 2019-09-27

Fixed

• re-added TLS, SRV dependencies for PyMongo
• socketio can now be run without turning on the --enable-api flag
• MappingPolicy no longer fails when the latest action doesn’t have a policy.

[1.3.6] - 2019-09-21

Added

• Added the ability for users to specify a conversation id to send a message to when using the RasaChat input channel.

[1.3.5] - 2019-09-20

Fixed

• Fixed issue where rasa init would fail without spaCy being installed.

[1.3.4] - 2019-09-20

Added

• Added the ability to set the backlog parameter in Sanics run() method using the SANIC_BACKLOG environment variable. A default value of 100 is used if the variable is not set.
• Status endpoint (/status) now also returns the number of training processes currently running.

Fixed

• Added the ability to properly deal with spaCy Doc-objects created on empty strings.
• asyncio warnings are now only printed if the callback takes more than 100ms.
• agent.load_model_from_server no longer affects logging.

Changed

• The endpoint POST /model/train no longer supports specifying an output directory for the trained model using the field out.

[1.3.3] - 2019-09-13

Fixed

• Added a check to avoid training CountVectorizer for a particular attribute of a message if no text is provided for that attribute across the training data.

[1.3.2] - 2019-09-10

Fixed

• SQL tracker events are retrieved ordered by timestamps. This fixes interactive learning events being shown in the wrong order.

[1.3.1] - 2019-09-09

Changed

• Pin gast to == 0.2.2.

[1.3.0] - 2019-09-05

Added

• Added option to persist nlu training data (default: False).
• option to save stories in e2e format for interactive learning.
• bot messages contain the timestamp of the BotUttered event.
• FallbackPolicy can now be configured to trigger when the difference between confidences of two predicted intents is too narrow.
• experimental training data importer which supports training with data of multiple sub bots.
• add example bot knowledgebasebot to showcase the usage of ActionQueryKnowledgeBase.
• softmax starspace loss for both EmbeddingPolicy and EmbeddingIntentClassifier.
• max_history parameter for EmbeddingPolicy.
• Successful predictions of the NER are written to a file if --successes is set when running rasa test nlu.

Changed

• Added character-level CountVectorsFeaturizer with empirically found parameters into the supervised_embeddings NLU pipeline template.

Fixed

• Fixed missing implementation of the keys() function for the Redis Tracker Store.

[1.1.1] - 2019-06-13

Fixed

• Fixed compatibility with Rasa SDK.
• bot responses can contain custom messages besides other message types.

👋 I can help you get started with Rasa and answer your technical questions.