2.8.6

• #9302: Fix rules not being applied when a featurised categorical slot has as one of its allowed
  values none, NoNe, None or a similar value.

2.8.5

• #9476: AugmentedMemoizationPolicy is accelerated for large trackers
• #9542: Bump tensorflow to 2.3.4 to address security vulnerabilities

2.8.4

• #5546: Increase speed of augmented lookup for AugmentedMemoizationPolicy

Bugfixes

• #7362: Fix --data being treated as if non-optional on sub-commands of rasa data convert
• #9490: Fixes bug where hide_rule_turn was defaulting to None when ActionExecuted was deserialised.

Miscellaneous internal changes

• #8682

2.8.3

• #7695: Ignore checking that intent is in domain for E2E story utterances when running rasa data validate. Previously data validation would fail on E2E stories.

2.7.2

• #7695: Ignore checking that intent is in domain for E2E story utterances when running rasa data validate. Previously data validation would fail on E2E stories.
• #8711: Fix for unnecessary retrain and duplication of folders in the model

2.8.2

• #9203: Fixes a bug which caused training of UnexpecTEDIntentPolicy to crash when end-to-end training stories were included in the training data.

  Stories with end-to-end training data will now be skipped for the training of UnexpecTEDIntentPolicy.

Improved Documentation

• #8024: Removing the experimental feature warning for the story validation tool from the rasa docs.
  The behaviour of the feature remains unchanged.
• #8791: Removing the experimental feature warning for entity roles and groups from the rasa docs,
  and from the code where it previously appeared as a print statement.
  The behaviour of the feature remains otherwise unchanged.

2.8.1

• #9085: Add support for cafile parameter in endpoints.yaml.
  This will load a custom local certificate file and use it when making requests to that endpoint.

  For example:

  action_endpoint:
    url: https://localhost:5055/webhook
    cafile: ./cert.pem

  This means that requests to the action server localhost:5055 will use the certificate cert.pem located in the current working directory.

Bugfixes

• #9182: Fixes wrong overriding of epochs parameter when TEDPolicy or UnexpecTEDIntentPolicy is not loaded in finetune mode.

2.8.0

• #9045: The option model_confidence=linear_norm is deprecated and will be removed in Rasa Open Source 3.0.0.

  Rasa Open Source 2.3.0 introduced linear_norm as a possible value for model_confidence
  parameter in machine learning components such as DIETClassifier, ResponseSelector and TEDPolicy.
  Based on user feedback, we have identified multiple problems with this option.
  Therefore, model_confidence=linear_norm is now deprecated and
  will be removed in Rasa Open Source 3.0.0. If you were using model_confidence=linear_norm for any of the mentioned components,
  we recommend to revert it back to model_confidence=softmax and re-train the assistant. After re-training,
  we also recommend to re-tune the thresholds for fallback components.

• #9091: The fallback mechanism for spaCy models has now been removed in Rasa 3.0.0.

  Rasa Open Source 2.5.0 introduced support for spaCy 3.0. This introduced a
  breaking feature because models would no longer be manually linked. To make
  the transition smooth Rasa would rely on the language parameter in the
  config.yml to fallback to a medium spaCy model if no model was configured
  for the SpacyNLP component. In Rasa Open Source 3.0.0 and onwards the
  SpacyNLP component will require the model name (like "en_core_web_md")
  to be passed explicitly.

Features

• #8724: Added sasl_mechanism as an optional configurable parameters for the Kafka Producer.

• #8913: Introduces a new policy called UnexpecTEDIntentPolicy.

  UnexpecTEDIntentPolicy helps you review conversations
  and also allows your bot to react to unexpected user turns in conversations.
  It is an auxiliary policy that should only be used in conjunction with
  at least one other policy, as the only action that it can trigger
  is the special and newly introduced
  action_unlikely_intent action.

  The auto-configuration will include UnexpecTEDIntentPolicy in your
  configuration automatically, but you can also include it yourself
  in the policies section of the configuration:

  policies:
    - name: UnexpecTEDIntentPolicy
      epochs: 200
      max_history: 5
  

  As part of the feature, it also introduces:

  • IntentMaxHistoryTrackerFeaturizer
    to featurize the trackers for UnexpecTEDIntentPolicy.
  • MultiLabelDotProductLoss to support UnexpecTEDIntentPolicy's multi-label training objective.
  • A new default action called action_unlikely_intent.

  rasa test command has also been adapted to UnexpecTEDIntentPolicy:

  • If a test story contains action_unlikely_intent and the policy ensemble does not trigger it, this leads to
    a test error (wrongly predicted action) and the corresponding story will be logged in failed_test_stories.yml.
  • If the story does not contain action_unlikely_intent and Rasa Open Source does predict it then
    the prediction of action_unlikely_intent will be ignored for the evaluation (and hence not lead
    to a prediction error) but the story will be logged in a file called stories_with_warnings.yml.

  The rasa data validate command will warn if action_unlikely_intent is
  included in the training stories. Accordingly, YAMLStoryWriter and MarkdownStoryWriter have been updated to not dump action_unlikely_intent when writing stories to a file.

  :::caution
  The introduction of a new default action breaks backward compatibility of previously trained models.
  It is not possible to load models trained with previous versions of Rasa Open Source. Please re-train
  your assistant before trying to use this version.

  :::

Improvements

• #8127: Added detailed json schema validation for UserUttered, SlotSet, ActionExecuted and EntitiesAdded events both sent and received from the action server, as well as covered at high-level the validation of the rest of the 20 events.
  In case the events are invalid, a ValidationError will be raised.

• #8232: Users don't need to specify an additional buffer size for sparse featurizers anymore during incremental training.

  Space for new sparse features are created dynamically inside the downstream machine learning
  models - DIETClassifier, ResponseSelector. In other words, no extra buffer is created in
  advance for additional vocabulary items and space will be dynamically allocated for them inside the model.

  This means there's no need to specify additional_vocabulary_size for CountVectorsFeaturizer or
  number_additional_patterns for RegexFeaturizer. These parameters are now deprecated.

  Before

  pipeline:
    - name: "WhitespaceTokenizer"
    - name: "RegexFeaturizer"
      number_additional_patterns: 100
    - name: "CountVectorsFeaturizer"
      additional_vocabulary_size: {text: 100, response: 20}

  Now

  pipeline:
    - name: "WhitespaceTokenizer"
    - name: "RegexFeaturizer"
    - name: "CountVectorsFeaturizer"

  Also, all custom layers specifically built for machine learning models - RasaSequenceLayer, RasaFeatureCombiningLayer
  and ConcatenateSparseDenseFeatures now inherit from RasaCustomLayer so that they support flexible incremental training out of the box.

• #8295: Speed up the contradiction check of the RulePolicy
  by a factor of 3.

• #8801: Change the confidence score assigned by FallbackClassifier to fallback intent to be the same as the fallback threshold.

• #8926: Issue a UserWarning if a specified domain folder contains files that look like YML files but cannot be parsed successfully.
  Only invoked if user specifies a folder path in --domain paramater. Previously those invalid files in the specified folder were silently ignored.
  Does not apply to individually specified domain YAML files, e.g. --domain /some/path/domain.yml, those being invalid will still raise an exception.

Bugfixes

• #8711: Fix for unnecessary retrain and duplication of folders in the model

Miscellaneous internal changes

• #8241, #8525, #8694, #8704

1.10.26

Features

• #8876: Added sasl_mechanism as an optional configurable parameter for the event-brokers-kafka{.interpreted-text role="ref"}.

2.5.2

Features

• #8892: Added sasl_mechanism as an optional configurable parameters for the Kafka Producer.