* 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
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Co-authored-by: Louis <louis@jan.ai>
* feat: improve local provider connectivity with CORS bypass
- Add @tauri-apps/plugin-http dependency
- Implement dual fetch strategy for local vs remote providers
- Auto-detect local providers (localhost, Ollama:11434, LM Studio:1234)
- Make API key optional for local providers
- Add comprehensive test coverage for provider fetching
refactor: simplify fetchModelsFromProvider by removing preflight check logic
* feat: extend config options to include custom fetch function for CORS handling
* feat: conditionally use Tauri's fetch for openai-compatible providers to handle CORS
* 🐛fix: setting provider hide model capabilities
* 🐛fix: hide tools icon on dropdown model providers
* fix: stop server on app close or reload
* ✨enhancement: reset heading class
---------
Co-authored-by: Louis <louis@jan.ai>
* chore: simple onboarding local model
* chore: update new model and improve flow e2e onboarding local model
* fix: default tool support models
---------
Co-authored-by: Louis <louis@jan.ai>
* fix: relocate jan data folder failed
* fix: avoid infinite recursion
* chore: kill background processes to unblock factory reset
* chore: stop models before reset factory
* chore: clean up
* chore: clean up
* fix: show error
* chore: get active models should not have retry
Modified the `onDragEnd` handler in `ThreadList.tsx` to use the complete global thread list from the `useThreads` store. This resolves a bug where dragging and dropping threads could lead to items disappearing from "Favorites" or "Recents" sections by ensuring the reordering logic operates on the full dataset.
Additionally, the default `order: 1` initialization for new threads in `useThreads.ts` and `services/threads.ts` has been commented out this make thread sorted by newest to oldest
