2.8.14

• #10241: #10241: Bump TensorFlow version to 2.6.2.
• #10257: #10257: Downgrade google-auth to <2.

3.0.0rc2

Pre-release version

2.8.13

• #9949: Fixed new intent creation in rasa interactive command. Previously, this failed with 500
  from the server due to UnexpecTEDIntentPolicy trying to predict with the new intent not in
  domain.
• #9982: Install mitie library when preparing test runs. This step was missing before
  and tests were thus failing as we have many tests which rely on mitie library.
  Previously, make install-full was required.

Miscellaneous internal changes

• #10146, #9989

Release candidate 3.0.0rc1 (#10093)

Pre-release version

2.8.12

• #9771: Fixed a bug where rasa test --fail-on-prediction-errors would raise a
  WrongPredictionException for entities which were actually predicted correctly.

  This happened in two ways:

  1. if for a user message some entities were extracted multiple times (by multiple entity
     extractors) but listed only once in the test story,
  2. if the order in which entities from a message were extracted didn't match the order
     in which they were listed in the test story.

Improved Documentation

• #9691: Improve the documentation for training TEDPolicy with data augmentation.

2.8.11

• #9858: Updates dependency on sanic-jwt (1.5.0 -> ">=1.6.0, <1.7.0")

  This removes the need to pin the version of pyjwt as the newer version of sanic-jwt
  manages this properly.

2.8.10

• #5657: Add List handling in the send_custom_json method on channels/facebook.py.
  Bellow are some examples that could cause en error before.

  Example 1: when the whole json is a List

  [
      {
          "blocks": {
              "type": "progression_bar",
              "text": {"text": "progression 1", "level": "1"},
          }
      },
      {"sender": {"id": "example_id"}},
  ]
  

  Example 2: instead of being a Dict, blocks is a List when there are 2 type
  keys under it

  {
      "blocks": [
          {"type": "title", "text": {"text": "Conversation progress"}},
          {
              "type": "progression_bar",
              "text": {"text": "Look how far we are...", "level": "1"},
          },
      ]
  }
  

• #7676: Fixed bug when using wit.ai training data to train.
  Training failed with an error similarly to this:

    File "./venv/lib/python3.8/site-packages/rasa/nlu/classifiers/diet_classifier.py", line 803, in train
      self.check_correct_entity_annotations(training_data)
    File "./venv/lib/python3.8/site-packages/rasa/nlu/extractors/extractor.py", line 418, in check_correct_entity_annotations
      entities_repr = [
    File "./venv/lib/python3.8/site-packages/rasa/nlu/extractors/extractor.py", line 422, in <listcomp>
      entity[ENTITY_ATTRIBUTE_VALUE],
  KeyError: 'value'

• #9851: Fix CVE-2021-41127

2.8.9

• #7619: Bump TensorFlow version to 2.6.

  This update brings some security benefits (see TensorFlow
  release notes
  for details). However, internal experiments suggest that it is also associated with
  increased train and inference time, as well as increased memory usage.

  You can read more about why we decided to update TensorFlow, and what the expected
  impact is here.

  If you experience a significant increase in train time, inference time, and/or memory
  usage, please let us know in the forum.

  Users can no longer set TF_DETERMINISTIC_OPS=1 if they are using GPU(s) because a
  tf.errors.UnimplementedError will be thrown by TensorFlow (read more
  here).

  :::caution
  This 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.

  :::

2.8.8

Improvements

• #7250: Added a function to display the actual text of a Token when inspecting
  a Message in a pipeline, making it easier to debug.

Improved Documentation

• #9780: Removing the experimental feature warning for conditional response variations from the Rasa docs.
  The behaviour of the feature remains unchanged.
• #9782: Updates quick install documentation with optional venv step, better pip install instructions, & M1 warning

2.8.7

• #9678: Explicitly set the upper limit for currently compatible TensorFlow versions.