# Rasa Change Log All notable changes to this project will be documented in this file. This project adheres to [Semantic Versioning](http://semver.org/) 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. ##