OpenAI released the [official API for ChatGPT](https://openai.com/blog/introducing-chatgpt-and-whisper-apis). Thus, we no longer have to use any older models or any models which kept on being turned off by OpenAI. This means the bot is now way more stable and way faster. However, please note: The usage of the API is **no longer free**. If you use this bot, your OpenAI account **will be charged**! You might want to limit your budget in your account using the [OpenAI website](https://platform.openai.com/account/billing).
You need to remove the `CHATGPT_MODEL` variable from your environment, if you changed the value.
- You can change the chat-model by setting the `CHATGPT_API_MODEL` in your `.env` file. ChatGPT is the `gpt-3.5-turbo`-model which is the default. Please note that depending on the model your OpenAI account will be charged.
If you prefer you can use a docker-compose file. Copy the content below and save it in a file named `docker-compose.yml`. Either with a self-build image (run `docker build . -t matrix-chatgpt-bot` from your local git repo location) or with the latest stable pre-built release from this repo (the **recommended** way).
The script will look for the `.env` file in the same folder as the `docker-compose.yml`. The key storage folder `storage` will be created in the same folder as well. Adjust the locations to your needs.
**Important**: It is strongly recommended to run this package under Docker to not need to install various dependencies manually.
Nevertheless, you can also run it by using the package manager yarn (get it via `apt install -y yarn`). You might also need to have a newer version of Node.js and other missing packages.
- You can use a [Keyv](https://github.com/jaredwray/keyv) storage backend for persistence if you prefer (advanced).
- The bot uses threads by default, to keep the context you should reply to this thread or the bot will think its a new conversation. "Threads" were previously experimental, you may need to activate them in your client's settings (e.g. in Element in the "lab"-section).
- There is support to set the context to work at either the:
- room level
- thread level
- both (threads fork the conversation from the main room)
- Don't use a `MATRIX_ACCESS_TOKEN` extracted via Element-App, use the generated token from the bot based on your `MATRIX_BOT_USERNAME`&`MATRIX_BOT_PASSWORD` set in the `env`file. It will be visible in the console at start up if the `MATRIX_ACCESS_TOKEN` is not already set:
1) Remove the `MATRIX_ACCESS_TOKEN` from the `env` file and make sure `MATRIX_BOT_USERNAME`&`MATRIX_BOT_PASSWORD` are set
2) Re-run the bot
3) Copy the token from console output to your `env` file
- If all fails, you can always reset your key storage. It's important to exercise all of the following steps, because any remaining data could lead to the next encryption error. Once everything is working, make sure to not touch the "storage" folder anymore:
- Set `MATRIX_ENCRYPTION=false` in your env-file and restart the bot. If it previously was running with encryption switched on, you need to create a new room with the bot as encryption can't be switched off once it was activated.
