* feat: Introduce structured error handling for llamacpp extension
This commit introduces a structured error handling system for the `llamacpp` extension. Instead of returning simple string errors, we now use a custom `LlamacppError` struct with a specific `ErrorCode` enum. This allows the frontend to display more user-friendly and actionable error messages based on the code, rather than raw debug logs.
The changes include:
- A new `ErrorCode` enum to categorize errors (e.g., `OutOfMemory`, `ModelArchNotSupported`, `BinaryNotFound`).
- A `LlamacppError` struct to encapsulate the code, a user-facing message, and optional detailed logs.
- A static method `from_stderr` that intelligently parses llama.cpp's standard error output to identify and map common issues like Out of Memory errors to a specific error code.
- Refactored `ServerError` enum to wrap the new `LlamacppError` and provide a consistent serialization format for the Tauri frontend.
- Updated all relevant functions (`load_llama_model`, `get_devices`) to return the new structured error type, ensuring a more robust and predictable error flow.
- A reduced timeout for model loading from 300 to 180 seconds.
This work lays the groundwork for a more intuitive and helpful user experience, as the application can now provide clear guidance to users when a model fails to load.
* Update src-tauri/src/core/utils/extensions/inference_llamacpp_extension/server.rs
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* Update src-tauri/src/core/utils/extensions/inference_llamacpp_extension/server.rs
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* chore: update FE handle error object from extension
* chore: fix property type
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Co-authored-by: Faisal Amir <urmauur@gmail.com>
* refactor: Use more precise terminology in API server logs and error messages
This commit refactors several log and error messages to use more accurate and consistent terminology.
- Replaced "backend servers" and "backend model servers" with "models" or "sessions" to better reflect the service's internal structure.
- Changed "Proxy server" to "Jan API server" to more accurately describe the server's function.
- Removed a redundant debug log message.
These changes are cosmetic and improve the readability and consistency of the logging output.
* Update src-tauri/src/core/server.rs
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Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* refactor: move session management & port allocation to backend
- Remove the in‑process `activeSessions` map and its cleanup logic from the TypeScript side.
- Introduce new Tauri commands in Rust:
- `get_random_port` – picks an unused port using a seeded RNG and checks availability.
- `find_session_by_model` – returns the `SessionInfo` for a given model ID.
- `get_loaded_models` – returns a list of currently loaded model IDs.
- Update the extension’s TypeScript code to use these commands via `invoke`:
- `findSessionByModel`, `load`, `unload`, `chat`, `getLoadedModels`, and `embed` now operate asynchronously and query the backend.
- Remove the old `is_port_available` command and the custom port‑checking loop.
- Simplify `onUnload` – session termination is now handled by the backend.
- Drop unused helpers (`sleep`, `waitForModelLoad`) and related port‑availability code.
- Add missing Rust imports (`rand::{StdRng,Rng,SeedableRng}`, `HashSet`) and improve error handling.
- Register the new commands in `src-tauri/src/lib.rs` (replace `is_port_available` with the three new commands).
This refactor centralises session state and port allocation in the Rust backend, eliminates duplicated logic, and resolves race conditions around model loading and session cleanup.
* Use String(e) for error
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