A user-configurable page should be available to adjust the following settings:

1. The number of historical messages to be sent to the LLM.
2. The preferred LLM model to be used.
3. The speed and accent of the voice used for text-to-speech conversion.
4. The option to switch between light and dark modes.
5. Additional configurable options (if any).

A mechanism for audio playback is necessary:

1. Automatic playback of newly received audio should occur. If audio is already playing, the newly received audio should be queued.
2. Pressing the ESC key should stop and clear the queue, as well as halt the currently playing audio.
3. When the recorder is activated, the playing audio should pause, and it should resume playing once the recorder is deactivated.

The current implementation of the listbox via Downshift has its limitations. It may be beneficial to consider a rework using Floating UI.

• With absolute positioning, some elements of the list are concealed due to overflow.
• When the position is set to fixed, the list dramatically shifts away from the button.

This guy has precisely encountered the same predicament I've endured: floating-ui/floating-ui#1709

It is very practical to add a button which enables users to revoke their voice.
For example, after I click the 'Spacebar' to speak, a submit button and a cancel button are showed.
Users can use the cancel button to revoke.

The message (text or audio) lacks a timeout feature. Here is a proposed implementation for the timeout mechanism:

1. Each message is expected to arrive within 15 seconds, and a consecutive message should arrive within 15 seconds after the previous message has been fully received.

2. Any message that has not arrived within 1 minute, it will be marked as a timeout.

A means to clear the message list should be available before the session list is prepared, be it in the form of a button or an alternative method.

One possible solution: https://github.com/arronhunt/highlightjs-copy

Additional context
Version: 1.2.2

Describe the solution you'd like
It would be preferable to include butterfly icons at the bottom corner of a message along with a count. This way, users can easily identify what messages and how many messages are attached without having to scroll up.

Additional context
Version: 1.2.2

A methodology ought to be in place for data migration within IndexedDB whenever a fresh version is rolled out.

Given my proficiency in frontend development, it seems appropriate now to utilise a framework to manage aspects such as routing, authentication, and multi-language support.

I attempted to utilise https://github.com/bvaughn/react-window, but encountered a few challenges:

• List items may intersect
• The message list's scrolling is not smooth enough when audio is being retrieved from IndexedDB
• Frequent DOM refreshing as assistant types

Potential solutions to explore:

• Use an LRU cache for audio blobs
• Limit audio rendering to the most recent N messages. Avoid rendering older audios unless specifically clicked by the user.

ChatGPT returned an error.

got error from LLM sever: error, status code: 400, 
message: This model's maximum context length is 4097 tokens. 
However, you requested 4315 tokens (315 in the messages, 4000 in the completion). 
Please reduce the length of the messages or completion.

By subtracting the number of tokens in the request from MaxToken, the user's mental load can be reduced

• How to calculate the number of tokens before sending the message?
• What about languages other than English?

When the message list is long, loading audio as a wave can be a time-consuming process. Consider using the library "react-window" from the GitHub repository "https://github.com/bvaughn/react-window" as a potential solution.

Currently, there is only one session available. Users would benefit from having a session list to manage various topics.

Implementing this feature without a suitable framework like Next.js might pose challenges. Since I lack familiarity with this subject, it would be ideal for someone knowledgeable to handle it.

Here's the current appearance of the chat list:

Possible solutions:

• https://shopify.github.io/draggable/
• https://bevacqua.github.io/dragula/

This can be accomplished by introducing a divider within the list, distinguishing between favourite conversations and the remaining chats.