Refactored `call_tool` to pass `room` and `user` for improved context during tool execution.
Introduced `Handover` and `StopProcessing` exceptions to better control the flow when calling tools involves managing exceptions and handovers between tools and text generation.
Enabled flexibility with `room` param in sending images and files, now accepting both `MatrixRoom` and `str` types.
Updated `generate_chat_response` in OpenAI class to incorporate tool usage flag and more pruned message handling for tool responses.
Introduced `orientation` option for image generation to specify landscape or portrait.
Implemented two new tool classes, `Imagine` and `Imagedescription`, to streamline image creation and description processes accordingly.
This improved error handling and additional granularity in tool invocation ensure that the bot behaves more predictably and transparently, particularly when interacting with generative AI and handling dialogue. The flexibility in both response and image generation caters to a wider range of user inputs and scenarios, ultimately enhancing the bot's user experience.
This commit adds functionality to call tools within the chat completion model. By introducing the `call_tool()` method in the `GPTBot` class, tools can now be invoked with the appropriate tool call. The commit also includes the necessary changes in the `OpenAI` class to handle tool calls during response generation. Additionally, new tool classes for geocoding and dice rolling have been implemented. This enhancement aims to expand the capabilities of the bot by allowing users to leverage various tools directly within the chat conversation.
This change adds support for voice input and output to the GPTbot. Users can enable this feature using the new `!gptbot roomsettings` command. Voice input and output are currently supported via OpenAI's TTS and Whisper models. However, note that voice input may be unreliable at the moment. This enhancement expands the capabilities of the bot, allowing users to interact with it using their voice. This addresses the need for a more user-friendly and natural way of communication.
- Replaced synchronous room check with asynchronous room check using `await`.
- Updated the code to use the `await` keyword before calling `self.room_uses_assistant(room)`.
- This change enables the code to generate assistant response asynchronously.
This commit adds a new method `room_uses_assistant` to the OpenAI class. This method allows checking whether a given room uses an assistant. It uses the `room_settings` table in the database to determine if the specified room has the `openai_assistant` setting.
The commit modifies the image generation code in the OpenAI class. The size and model of the generated image can now be dynamically set based on the provided prompt. The code has been refactored to handle different image sizes and models correctly.
- Fixed bot command prefix recognition to include prefixes starting with an asterisk (= edited messages)
- Added handling of ignoring bot commands in the '_last_n_messages' method.
Previously, there was no option to specify the model for image generation in the OpenAI configuration. This commit adds a new option called "ImageModel" where you can specify the desired model. The default value for this option is "dall-e-2".
In the `GPTBot` class, the OpenAI object is now initialized with the `ImageModel` option if it is provided in the configuration. This allows the bot to use the specified image generation model in addition to the chat model.
Furthermore, in the `OpenAI` class, the `image_api` attribute has been renamed to `image_model` to reflect its purpose more accurately. The default value has also been updated to "dall-e-2" to align with the new configuration option.
This commit ensures that the OpenAI configuration is up-to-date and allows users to specify the desired image generation model.