* feat: Enhance Llama.cpp backend management with persistence
This commit introduces significant improvements to how the Llama.cpp extension manages and updates its backend installations, focusing on user preference persistence and smarter auto-updates.
Key changes include:
* **Persistent Backend Type Preference:** The extension now stores the user's preferred backend type (e.g., `cuda`, `cpu`, `metal`) in `localStorage`. This ensures that even after updates or restarts, the system attempts to use the user's previously selected backend type, if available.
* **Intelligent Auto-Update:** The auto-update mechanism has been refined to prioritize updating to the **latest version of the *currently selected backend type*** rather than always defaulting to the "best available" backend (which might change). This respects user choice while keeping the chosen backend type up-to-date.
* **Improved Initial Installation/Configuration:** For fresh installations or cases where the `version_backend` setting is invalid, the system now intelligently determines and installs the best available backend, then persists its type.
* **Refined Old Backend Cleanup:** The `removeOldBackends` function has been renamed to `removeOldBackend` and modified to specifically clean up *older versions of the currently selected backend type*, preventing the accumulation of unnecessary files while preserving other backend types the user might switch to.
* **Robust Local Storage Handling:** New private methods (`getStoredBackendType`, `setStoredBackendType`, `clearStoredBackendType`) are introduced to safely interact with `localStorage`, including error handling for potential `localStorage` access issues.
* **Version Filtering Utility:** A new utility `findLatestVersionForBackend` helps in identifying the latest available version for a specific backend type from a list of supported backends.
These changes provide a more stable, user-friendly, and maintainable backend management experience for the Llama.cpp extension.
Fixes: #5883
* fix: cortex models migration should be done once
* feat: Optimize Llama.cpp backend preference storage and UI updates
This commit refines the Llama.cpp extension's backend management by:
* **Optimizing `localStorage` Writes:** The system now only writes the backend type preference to `localStorage` if the new value is different from the currently stored one. This reduces unnecessary `localStorage` operations.
* **Ensuring UI Consistency on Initial Setup:** When a fresh installation or an invalid backend configuration is detected, the UI settings are now explicitly updated to reflect the newly determined `effectiveBackendString`, ensuring the displayed setting matches the active configuration.
These changes improve performance by reducing redundant storage operations and enhance user experience by maintaining UI synchronization with the backend state.
* Revert "fix: provider settings should be refreshed on page load (#5887)"
This reverts commit ce6af62c7df4a7e7ea8c0896f307309d6bf38771.
* fix: add loader version backend llamacpp
* fix: wrong key name
* fix: model setting issues
* fix: virtual dom hub
* chore: cleanup
* chore: hide device ofload setting
---------
Co-authored-by: Louis <louis@jan.ai>
Co-authored-by: Faisal Amir <urmauur@gmail.com>
* fix: support load model configurations
* chore: remove log
* chore: sampling params add from send completion
* chore: remove comment
* chore: remove comment on predefined file
* chore: update test model service
* feat: Improve llamacpp server error reporting and model load stability
This commit introduces significant improvements to how the llamacpp server
process is managed and how its errors are reported.
Key changes:
- **Enhanced Error Reporting:** The llamacpp server's stdout and stderr
are now piped and captured. If the llamacpp process exits prematurely
or fails to start, its stderr output is captured and returned as a
`LlamacppError`. This provides much more specific and actionable
diagnostic information for users and developers.
- **Increased Model Load Timeout:** The `waitForModelLoad` timeout has
been increased from 30 seconds to 240 seconds (4 minutes). This
addresses issues where larger models or slower systems would
prematurely time out during the model loading phase.
- **API Secret Update:** The internal API secret for the llamacpp
extension has been updated from 'Jan' to 'JustAskNow'.
- **Version Bump:** The application version in `tauri.conf.json` has
been incremented to `0.6.901`.
* fix: should not spam load requests
* test: add test to cover the fix
* refactor: clean up
* test: add more test case
---------
Co-authored-by: Louis <louis@jan.ai>
