- Introduced `assistent-personas.yaml` to the project and updated the `.gitignore` accordingly.
- Implemented functions to seed and merge assistent personas from local files to the VM.
- Enhanced the model capture process to include merging of wanted models from the VM into `models.yaml`.
- Updated documentation to reflect changes in the assistent personas and model management processes.
Co-authored-by: Cursor <cursoragent@cursor.com>
- Removed references to llamacpp from configuration files, scripts, and documentation, streamlining the LLM setup process to focus solely on Ollama.
- Updated environment variables and paths to eliminate llamacpp-related entries, ensuring clarity in the configuration.
- Adjusted CLI commands and help messages to reflect the removal of llamacpp, enhancing user experience and reducing confusion.
- Revised documentation to provide clear guidance on using Ollama exclusively, including updates to setup instructions and runtime options.
- Reduced default values for IDLE_MINUTES from 60 to 30 and IDLE_GRACE_MINUTES from 90 to 45 across configuration files and documentation.
- Updated related documentation to reflect the new default idle time settings, ensuring consistency in user guidance and system behavior.
- Introduced support for Hugging Face API integration, allowing fallback model resolution when Civitai fails.
- Updated configuration to include `HF_TOKEN` and `HF_TOKEN_PATH` for authentication.
- Enhanced model capture logic to differentiate between Civitai and Hugging Face sources.
- Improved error handling for model downloads, providing clearer messages for authentication issues.
- Updated documentation to reflect new environment variables and usage instructions for Hugging Face integration.
- Added tests to validate the new fallback mechanism and ensure robust model resolution.
- Increased default values for IDLE_MINUTES from 30 to 60 and IDLE_GRACE_MINUTES from 45 to 90 across configuration files and documentation.
- Updated related documentation to reflect the new default idle time settings, ensuring consistency in user guidance and system behavior.
- Updated CLI documentation to reflect the new handling of `CIVITAI_API_TOKEN`, which is now automatically passed to SwarmUI user settings during startup.
- Improved the `render_access_panel` function to include additional warnings for idle-killer failures and stack errors, enhancing user feedback.
- Introduced a new function `seed_swarmui_api_keys` to manage API key injection into SwarmUI, ensuring seamless integration with the Model Downloader.
- Enhanced GPU environment verification logic to include fail-fast checks for critical components like CUDA, improving error handling and user notifications.
- Updated tests to validate the new API key handling and access panel behavior, ensuring robustness in the integration process.
- Introduced new `capture` commands in the CLI to allow users to merge VM inventory into local manifests without downloading weights.
- Updated `README.md` and `cli.md` to include detailed instructions for the new capture functionality, including options for models and extensions.
- Enhanced `decisions.md` to clarify the role of captured links in the manifest files.
- Improved `extensions.md` to document the process of capturing installed extensions back to the local configuration.
- Added new functions in `civitai.py` to support fetching model versions by hash and generating canonical URLs for models.
- Added support for a new extension, `swarm-assistent`, in `extensions.example.yaml` with a requirement for `ollama`.
- Enhanced the README.md to clarify the setup process and provide a quick start guide for using extensions.
- Updated documentation in `llm.md` to reflect the opt-in nature of LLM support and provide clearer instructions for enabling it.
- Improved the `autocomplete.md` to detail the automatic setup of word lists during the initial launch.
- Revised `cli.md` to include new commands and options related to LLM runtime handling and extension management.
- Enhanced the `spike-notes.md` to guide users through the first live run with a focus on LLM integration.
- Updated the project structure to store configuration files (.env, models.yaml, extensions.yaml) in the project root instead of the user's home directory.
- Enhanced the setup process to automatically copy example files to the project root on first run.
- Implemented a migration function to transfer legacy configuration files from the user's home directory to the new project structure.
- Revised documentation to reflect changes in file locations and setup instructions.
- Improved code readability and maintainability by refactoring path management functions.
Leonid PershinandCursor