Improved the login logic in the bot's initialization process to require a UserID when a Password is provided for login. This update ensures a more secure and fail-proof login procedure by validating the presence of a UserID before attempting to log in, and by handling LoginError more explicitly with a clear error message. This change addresses the need for better error handling and validation during the bot's login phase to avoid silent failures and improve debuggability.
- Added LoginError import to handle login-related exceptions more gracefully.
- Refined the login process to create the AsyncClient instance with a UserID when password authentication is used, following best practices for client identification.
- Introduced explicit error raising for missing UserID configuration, enhancing configuration validation before attempting a login.
- Improved clarity and security by clearing the password from the configuration post-login, preventing inadvertent storage or reuse.
This update enhances the bot's robustness and configuration validation, ensuring smoother operations and better error handling during the initialization phase.
Introduced changes to the tool request behavior and image processing. Now, the configuration allows a dedicated model for tool requests (`ToolModel`) and enforces automatic resizing of context images to maximal dimensions, improving compatibility and performance with the AI model. The update shifts away from a rigid tool model use, accommodating varied model support for tool requests, and optimizes image handling for network and processing efficiency. These adjustments aim to enhance user experience with more flexible tool usage and efficient image handling in chat interactions.
Introduced the `ForceVision` configuration option to allow usage of third-party models for image recognition within the OpenAI setup. This change broadens the flexibility and applicability of the bot's image processing capabilities by not restricting to predefined vision models only. Also, added missing properties to the `OpenAI` class to provide comprehensive control over the bot's behavior, including options for forcing vision and tools usage, along with emulating tool capabilities in models not officially supporting them. These enhancements make the bot more adaptable to various models and user needs, especially for self-hosted setups.
Additionally, updated documentation and increment version to 0.3.12 to reflect these changes and improvements.
Refactored the handling of AI providers to support multiple AI services efficiently, introducing a `BaseAI` class from which all AI providers now inherit. This change modernizes our approach to AI integration, providing a more flexible and maintainable architecture for future expansions and enhancements.
- Adopted `gpt-4o` and `dall-e-3` as the default models for chat and image generation, respectively, aligning with the latest advancements in AI capabilities.
- Integrated `ruff` as a development dependency to enforce coding standards and improve code quality through consistent linting.
- Removed unused API keys and sections from `config.dist.ini` to streamline configuration management and clarify setup processes for new users.
- Updated the command line tool for improved usability and fixed previous issues preventing its effective operation.
- Enhanced OpenAI integration with advanced settings for temperature, top_p, frequency_penalty, and presence_penalty, enabling finer control over AI-generated outputs.
This comprehensive update not only enhances the bot's performance and usability but also lays the groundwork for incorporating additional AI providers, ensuring the project remains at the forefront of AI-driven chatbot technologies.
Resolves#13
Enhanced bot flexibility by enabling the specification of room IDs in the allowed users' list, broadening access control capabilities. This change allows for more granular control over who can interact with the bot, particularly useful in scenarios where the bot's usage needs to be restricted to specific rooms. Additionally, updated documentation and configurations reflect the inclusion of new AI models and self-hosted API support, catering to a wider range of use cases and setups. The README.md and config.dist.ini files have been updated to offer clearer guidance on setup, configuration, and troubleshooting, aiming to improve user experience and ease of deployment.
- Introduced the ability for room-specific bot access, enhancing user and room management flexibility.
- Expanded AI model support, including `gpt-4o` and `ollama`, increases the bot's versatility and application scenarios.
- Updated Python version compatibility to 3.12 to ensure users are leveraging the latest language features and improvements.
- Improved troubleshooting documentation to assist users in resolving common issues more efficiently.
Release version 0.3.9 introduces Docker support, enhancing deployment options by allowing the bot to run in a containerized environment. This update greatly simplifies deployment and scaling processes. Additionally, the inclusion of the TrackingMore dependency expands the bot's functionality, enabling advanced tracking features. These changes collectively aim to improve the bot's adaptability and efficiency in handling tasks.
Transitioned from the deprecated `pkg_resources` to `importlib.metadata` for package version retrieval, improving performance and future compatibility.
- Initialized preparations for the unreleased 0.3.9 version in the changelog.
- Updated copyright information to include 2024 and added Private.coffee Team alongside Kumi Mitterer to reflect the collaborative nature of the project going forward.
- Incremented the project version to 0.3.9.dev0 in pyproject.toml to align with upcoming development efforts.
- Modified all references from Kumi's personal repo to the Private.coffee Team's repo in README.md, LICENSE, and pyproject.toml, ensuring future contributions and issues are directed to the correct repository. This change facilitates a broader collaboration platform and acknowledges the team's growing involvement in the project's development.
These updates are critical for the upcoming development phase and for accurately representing the collaborative efforts behind the project.
Updated the CHANGELOG.md to document enhancements in versions 0.3.7 and 0.3.8, including updates to URLs in the pyproject.toml and migration of the build pipeline to Forgejo Actions. These changes aim to improve project dependency management and streamline the CI/CD process, ensuring a more efficient development workflow.
Upgraded project version to 0.3.6 to introduce a critical fix for message type detection failing on certain messages. This version also amends the package directory structure for improved organization, moving from `src/gptbot` to just `gptbot`. Additionally, updated the CHANGELOG to reflect this fix and organizational change, ensuring that it stays current with the project's progress.
- Fixes message type detection issue
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.
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.
