Updated the project version from 0.1.5 to 0.1.6 to reflect recent changes and improvements in the codebase. Ensures compatibility and clarity in the project's release management.
Added the ability to backfill messages from an RSS feed upon adding it to a room. Users can now add the `--backfill` flag when using the `addfeed` command to retrieve and post historical entries from the feed. This enhancement improves user experience by ensuring no important feed information is missed.
Incremented the project version to 0.1.3 to prepare for the release of new functionalities and improvements. This version update signifies the addition of enhancements and possibly minor bug fixes, following our semantic versioning policy. This change is crucial for package management and distribution, ensuring users receive the latest updates and features promptly.
Added support for configurable event types for sending messages, enabling use of either "text" or "notice" message types as per user preference. Additionally, this update brings along improvements including code cleanup, updated dependencies to improve functionality and fix potential security issues, and reorganization of example configuration files into a more structured directory. Significant refactorings standardize async task creations and remove unused imports, streamlining the codebase for better maintainability and performance.
- Introduced `EventType` in `config.dist.ini` to allow users to specify the desired event type for outbound messages.
- Upgraded dependency versions in `pyproject.toml`, adding `future` for forward compatibility.
- Removed the deprecated `rssbot-pantalaimon.service` and unused image/file send functions in `bot.py`, focusing on core functionalities.
- Reorganized `pantalaimon.example.conf` into `contrib` directory for better project structure.
- Simplified logging and callback handling, removing redundant code paths and improving code readability.
- Bumped project version to 0.1.2, paving the way for new features and fixes.
This enhancement is aimed at providing users with greater flexibility in how messages are sent, accommodating different use cases and preferences.
Reorganized the script's main execution logic into a `main` function for clearer entry point definition and better maintainability. Updated the project version to 0.1.1, reflecting these changes alongside minor fixes. Adjusted the script reference in `pyproject.toml` to align with the new entry point structure, ensuring proper package execution as a console script. This refactor enhances code readability and supports more flexible future updates.
Standardize the passing of 'messages' argument across various calls to
generate_chat_response method to ensure consistency and prevent
potential bugs in the GPT bot's response generation. The 'model'
parameter in one instance has been corrected to 'original_model' for
proper context loading. These changes improve code clarity and maintain
the intended message flow within the bot's conversation handling.
Removed the '-dev' suffix from the project version indicating the transition from a development state to the official release of version 0.3.3. This version bump aligns with the completion of features and fixes slated for this iteration.
Introduced additional debug log entries in the `GPTBot` class to provide clarity on the initial sync and callback setup process. This helps with monitoring and troubleshooting during the early stages of bot deployment, making it easier to pinpoint issues around bot startup and room joining behavior.
Bumped project version to 0.3.3-dev to signal ongoing development.
Resolved an issue that prevented the bot from responding when files were uploaded to encrypted rooms by implementing a workaround. The bot now tries to generate text from uploaded files and logs errors without interrupting the message flow. Upgraded the Pantalaimon dependency to ensure compatibility. Also, refined the message processing logic to handle different message types correctly and made the download_file method asynchronous to match the matrix client's expected behavior. Additionally, updated the changelog and bumped the project version to reflect these fixes and improvements.
Known issues have been documented, including a limitation when using Pantalaimon where the bot cannot download/use files uploaded to encrypted rooms.
Upgraded bot features to interpret and respond to text, image, and voice prompts in Matrix rooms using advanced OpenAI models, including vision preview and text-to-speech. Streamlined installation process with bot now available via PyPI, simplifying setup and extending accessibility. Eliminated planned features section, signaling a shift towards realized functionalities over prospective development.
Configured Pantalaimon as an optional dependency to enable bot use in E2EE rooms while maintaining compatibility with non-encrypted rooms. Removed trackingmore dependency, indicating a refinement in the feature set towards core functionalities. Version bumped to 0.3.0, signifying major enhancements over previous iteration.
Integrated Pantalaimon support with updated configuration instructions and examples, facilitating secure communication when using the Matrix homeserver. The .gitignore is now extended to exclude a Pantalaimon configuration file, preventing sensitive information from accidental commits. Removed encryption callbacks and related functions as the application leverages Pantalaimon for E2EE, simplifying the codebase and shifting encryption responsibilities externally. Streamlined dependency management by removing the requirements.txt in favor of pyproject.toml, aligning with modern Python practices. This change overall improves security handling and eases future maintenance.
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.
