1.9.5

Improvements

• #5533: Support for
  PostgreSQL schemas in
  sql-tracker-store. The SQLTrackerStore
  accesses schemas defined by the POSTGRESQL_SCHEMA environment variable if
  connected to a PostgreSQL database.

  The schema is added to the connection string option's -csearch_path key, e.g.
  -options=-csearch_path=<SCHEMA_NAME> (see
  https://www.postgresql.org/docs/11/contrib-dblink-connect.html for more details).
  As before, if no POSTGRESQL_SCHEMA is defined, Rasa uses the database's default
  schema (public).

  The schema has to exist in the database before connecting, i.e. it needs to have been
  created with

  CREATE SCHEMA schema_name;
  

Bugfixes

• #5547: Fixed ambiguous logging in DIETClassifier by adding the name of the calling class to the log message.

1.9.4

Bugfixes

• #5529: Fix memory leak problem on increasing number of calls to /model/parse endpoint.

1.9.3

Bugfixes

[\#5505](https://github.com/rasahq/rasa/issues/5505): Set default value for `weight_sparsity` in `ResponseSelector` to `0`.

:   This fixes a bug in the default behaviour of `ResponseSelector` which was accidentally introduced in `rasa==1.8.0`.
    Users should update to this version and re-train their models if `ResponseSelector` was used in their pipeline.

1.8.3

Bugfixes

• #5405: Fixes issue where model always gets retrained if multiple NLU/story files are in a
  directory, by sorting the list of files.
• #5444: Fixed ambiguous logging in DIETClassifier by adding the name of the calling class to the log message.

[\#5506](https://github.com/rasahq/rasa/issues/5506): Set default value for `weight_sparsity` in `ResponseSelector` to `0`.

:   This fixes a bug in the default behaviour of `ResponseSelector` which was accidentally introduced in `rasa==1.8.0`.
    Users should update to this version or `rasa>=1.9.3` and re-train their models if `ResponseSelector` was used in their pipeline.

Improved Documentation

• #5302: Improved documentation on how to build and deploy an action server image for use on other servers such as Rasa X deployments.

1.9.2

Improved Documentation

• #5497: Fix documentation to bring back Sara.

1.9.1

Bugfixes

• #5492: Fix an issue where the deprecated queue parameter for the event-brokers-pika
  was ignored and Rasa Open Source published the events to the rasa_core_events
  queue instead. Note that this does not change the fact that the queue argument
  is deprecated in favor of the queues argument.

1.9.0

Features

• #5006: Channel hangouts for Rasa integration with Google Hangouts Chat is now supported out-of-the-box.

• #5389: Add an optional path to a specific directory to download and cache the pre-trained model weights for HFTransformersNLP.

• #5422: Add options tensorboard_log_directory and tensorboard_log_level to EmbeddingIntentClassifier,
  DIETClasifier, ResponseSelector, EmbeddingPolicy and TEDPolicy.

  By default tensorboard_log_directory is None. If a valid directory is provided,
  metrics are written during training. After the model is trained you can take a look
  at the training metrics in tensorboard. Execute tensorboard --logdir <path-to-given-directory>.

  Metrics can either be written after every epoch (default) or for every training step.
  You can specify when to write metrics using the variable tensorboard_log_level.
  Valid values are 'epoch' and 'minibatch'.

  We also write down a model summary, i.e. layers with inputs and types, to the given directory.

Improvements

• #4756: Make response timeout configurable.
  rasa run, rasa shell and rasa x can now be started with
  --response-timeout <int> to configure a response timeout of <int> seconds.

• #4826: Add full retrieval intent name to message data
  ResponseSelector will now add the full retrieval intent name
  e.g. faq/which_version to the prediction, making it accessible
  from the tracker.

• #5258: Added PikaEventBroker (event-brokers-pika) support for publishing to
  multiple queues. Messages are now published to a fanout exchange with name
  rasa-exchange (see
  exchange-fanout
  for more information on fanout exchanges).

  The former queue key is deprecated. Queues should now be
  specified as a list in the endpoints.yml event broker config under a new key
  queues. Example config:

  event_broker:
    type: pika
    url: localhost
    username: username
    password: password
    queues:
      - queue-1
      - queue-2
      - queue-3
  

• #5416: Change rasa init to include tests/conversation_tests.md file by default.

• #5446: The endpoint PUT /conversations/<conversation_id>/tracker/events no longer
  adds session start events (to learn more about conversation sessions, please
  see session_config) in addition to the events which were sent in the request
  payload. To achieve the old behavior send a
  GET /conversations/<conversation_id>/tracker
  request before appending events.

• #5482: Make scale_loss for intents behave the same way as in versions below 1.8, but
  only scale if some of the examples in a batch has probability of the golden label more than 0.5.
  Introduce scale_loss for entities in DIETClassifier.

Bugfixes

• #5205: Fixed the bug when FormPolicy was overwriting MappingPolicy prediction (e.g. /restart).
  Priorities for mapping-policy and form-policy are no longer linear:
  FormPolicy priority is 5, but its prediction is ignored if MappingPolicy is used for prediction.

• #5215: Fixed issue related to storing Python float values as decimal.Decimal objects
  in DynamoDB tracker stores. All decimal.Decimal objects are now converted to
  float on tracker retrieval.

  Added a new docs section on tracker-stores-dynamo.

• #5356: Fixed bug where FallbackPolicy would always fall back if the fallback action is
  action_listen.

• #5361: Fixed bug where starting or ending a response with \n\n led to one of the responses returned being empty.

• #5405: Fixes issue where model always gets retrained if multiple NLU/story files are in a
  directory, by sorting the list of files.

• #5444: Fixed ambiguous logging in DIETClassifier by adding the name of the calling class to the log message.

Improved Documentation

• #2237: Restructure the "Evaluating models" documentation page and rename this page to testing-your-assistant.
• #5302: Improved documentation on how to build and deploy an action server image for use on other servers such as Rasa X deployments.

Miscellaneous internal changes

• #5340

1.8.2

Bugfixes

• #5438: Fixed bug when installing rasa with poetry.
• #5413: Fixed bug with EmbeddingIntentClassifier, where results
  weren't the same as in 1.7.x. Fixed by setting weight sparsity to 0.

Improved Documentation

• #5404: Explain how to run commands as root user in Rasa SDK Docker images since version
  1.8.0. Since version 1.8.0 the Rasa SDK Docker images does not longer run as
  root user by default. For commands which require root user usage, you have to
  switch back to the root user in your Docker image as described in
  deploying-your-rasa-assistant_custom-dependencies.
• #5402: Made improvements to Building Assistants tutorial

1.8.1

Bugfixes

• #5354: Fixed issue with using language models like xlnet along with entity_recognition set to True inside DIETClassifier.

Miscellaneous internal changes

• #5330, #5348

1.7.4

patch release fixing duplicate  events