Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

update release notes v1.5.0 #91

Merged
merged 1 commit into from
Nov 14, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 10 additions & 7 deletions docs/source/release_notes/v1.5.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -4,14 +4,17 @@ Version 1.5.0
New Features
-------------

- Markdown and HTML replies in WebSocketPlatform
- Chat Widget UI
- New Processor: UserAdaptationProcessor
- Reply image in WebSocektPlatform
- LLM Global and User context
- New User Interface for the WebSocketPlatform: :doc:`Chat Widget <../wiki/platforms/websocket_platform/chat_widget>`.
- New Processor: :any:`user-adaptation-processor`
- New LLM feature: :any:`llm-context`
- New types of replies included in the WebSocketPlatform:

- HTML Text
- Markdown Text
- Images

Improvements
-------------

- Upgrade Streamlit v1.40.0
- Typing effect on bot messages in streamlit UI
- Upgraded Streamlit version to 1.40.0, updating the Streamlit UI with the latest improvements
- Added typing effect on bot messages in Streamlit UI
2 changes: 1 addition & 1 deletion docs/source/wiki/core/processors.rst
Original file line number Diff line number Diff line change
Expand Up @@ -111,7 +111,7 @@ When processed, the recognized language will be stored as a session variable in
UserAdaptationProcessor
~~~~~~~~~~~~~~~~~~~~~~~~~~

The :class:`UserAdaptationProcessor <besser.bot.core.processors.language_detection_processor.UserAdaptationProcessor>`
The :class:`UserAdaptationProcessor <besser.bot.core.processors.user_adaptation_processor.UserAdaptationProcessor>`
attempts to adapt the bot's responses based on the user's profile. The user profile can be added using the following call:

.. code:: python
Expand Down
2 changes: 2 additions & 0 deletions docs/source/wiki/nlp/llm.rst
Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,8 @@ This LLM can be used within any bot state (in both the body and the fallback bod
There are plenty of possibilities to take advantage of LLMs in a chatbot. The previous is a very simple use case, but
we can do more advanced tasks through prompt engineering.

.. _llm-context:

Adding context information to an LLM
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Expand Down