On Windows, spawning the llamacpp server was causing an unwanted terminal window
to appear. This is now fixed by combining `CREATE_NO_WINDOW` with
`CREATE_NEW_PROCESS_GROUP` using `.creation_flags(...)`, ensuring that the
process runs in the background without a console window.
This change only applies to 64-bit Windows builds.
* feat: support per-model overrides in llama.cpp load()
Extend the `load()` method in the llama.cpp extension to accept optional
`overrideSettings`, allowing fine-grained per-model configuration.
This enables users to override provider-level settings such as `ctx_size`,
`chat_template`, `n_gpu_layers`, etc., when loading a specific model.
Fixes: #5818 (Feature Request - Jan v0.6.6)
Use cases enabled:
- Different context sizes per model (e.g., 4K vs 32K)
- Model-specific chat templates (ChatML, Alpaca, etc.)
- Performance tuning (threads, GPU layers)
- Better memory management per deployment
Maintains full backward compatibility with existing provider config.
* swap overrideSettings and isEmbedding argument
* fix: Enhance stream error handling and parsing
This commit improves the robustness of stream processing in the llamacpp-extension.
- Adds explicit handling for 'error:' prefixed lines in the stream, parsing the contained JSON error and throwing an appropriate JavaScript Error.
- Centralizes JSON parsing of 'data:' and 'error:' lines, ensuring consistent error propagation by re-throwing parsing exceptions.
- Ensures the async iterator terminates correctly upon encountering stream errors or malformed JSON.
* Address bot comments and cleanup
* feat: add autoqa
* chore: add auto start computer_server
* chore: add ci autoqa windows
* chore: add ci support for both windows and linux
* chore: add ci support for macos
* chore: refactor auto qa
* chore: refactor autoqa workflow
* chore: fix upload turn
* refactor: move thinking toggle to runtime settings for per-message control
Replaces the static `reasoning_budget` config with a dynamic `enable_thinking` flag under `chat_template_kwargs`, allowing models like Jan-nano and Qwen3 to enable/disable thinking behavior at runtime, even mid-conversation.
Requires UI update
* remove engine argument
* fix: Prevent spamming /health endpoint and improve startup and resolve compiler warnings
This commit introduces a delay and improved logic to the /health endpoint checks in the llamacpp extension, preventing excessive requests during model loading.
Additionally, it addresses several Rust compiler warnings by:
- Commenting out an unused `handle_app_quit` function in `src/core/mcp.rs`.
- Explicitly declaring `target_port`, `session_api_key`, and `buffered_body` as mutable in `src/core/server.rs`.
- Commenting out unused `tokio` imports in `src/core/setup.rs`.
- Enhancing the `load_llama_model` function in `src/core/utils/extensions/inference_llamacpp_extension/server.rs` to better monitor stdout/stderr for readiness and errors, and handle timeouts.
- Commenting out an unused `std::path::Prefix` import and adjusting `normalize_path` in `src/core/utils/mod.rs`.
- Updating the application version to 0.6.904 in `tauri.conf.json`.
* fix grammar!
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* fix grammar 2
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* reimport prefix but only on Windows
* remove instead of commenting
* remove redundant check
* sync app version in cargo.toml with tauri.conf
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* 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>
