This icon doesn't do anything on chatInput but just an indicator when the proactive capability is activated. Safely remove since this can be indicated from the model dropdown
This commit introduces Japanese as a supported language in the web application.
Key changes include:
- Addition of a new `ja` locale with 15 translated JSON resource files, making the application accessible to Japanese-speaking users.
- Update of the `LanguageSwitcher.tsx` component to include '日本語' in the language selection dropdown menu, allowing users to switch to the new language.
- The localization files were added by creating a new `ja` directory under `web-app/src/locales` and translating the content from the `en` directory.
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
- Add search bar to filter projects by name in real-time
- Implement scrollable thread container with max 4 visible threads
- Add empty state for no search results
- Add clear button (X) to reset search query
* feat: add getTokensCount method to compute token usage
Implemented a new async `getTokensCount` function in the LLaMA.cpp extension.
The method validates the model session, checks process health, applies the request template, and tokenizes the resulting prompt to return the token count. Includes detailed error handling for crashed models and API failures, enabling callers to assess token usage before sending completions.
* Fix: typos
* chore: update ui token usage
* chore: remove unused code
* feat: add image token handling for multimodal LlamaCPP models
Implemented support for counting image tokens when using vision-enabled models:
- Extended `SessionInfo` with optional `mmprojPath` to store the multimodal project file.
- Propagated `mmproj_path` from the Tauri plugin into the session info.
- Added import of `chatCompletionRequestMessage` and enhanced token calculation logic in the LlamaCPP extension:
- Detects image content in messages.
- Reads GGUF metadata from `mmprojPath` to compute accurate image token counts.
- Provides a fallback estimation if metadata reading fails.
- Returns the sum of text and image tokens.
- Introduced helper methods `calculateImageTokens` and `estimateImageTokensFallback`.
- Minor clean‑ups such as comment capitalization and debug logging.
* chore: update FE send params message include content type image_url
* fix mmproj path from session info and num tokens calculation
* fix: Correct image token estimation calculation in llamacpp extension
This commit addresses an inaccurate token count for images in the llama.cpp extension.
The previous logic incorrectly calculated the token count based on image patch size and dimensions. This has been replaced with a more precise method that uses the clip.vision.projection_dim value from the model metadata.
Additionally, unnecessary debug logging was removed, and a new log was added to show the mmproj metadata for improved visibility.
* fix per image calc
* fix: crash due to force unwrap
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Co-authored-by: Faisal Amir <urmauur@gmail.com>
Co-authored-by: Louis <louis@jan.ai>
* feat: Add Jan API server Swagger UI
- Serve OpenAPI spec (`static/openapi.json`) directly from the proxy server.
- Implement Swagger UI assets (`swagger-ui.css`, `swagger-ui-bundle.js`, `favicon.ico`) and a simple HTML wrapper under `/docs`.
- Extend the proxy whitelist to include Swagger UI routes.
- Add routing logic for `/openapi.json`, `/docs`, and Swagger UI static files.
- Update whitelisted paths and integrate CORS handling for the new endpoints.
* feat: serve Swagger UI at root path
The Swagger UI endpoint previously lived under `/docs`. The route handling and
exclusion list have been updated so the UI is now served directly at `/`.
This simplifies access, aligns with the expected root URL in the Tauri
frontend, and removes the now‑unused `/docs` path handling.
* feat: add model loading state and translations for local API server
Implemented a loading indicator for model startup, updated the start/stop button to reflect model loading and server starting states, and disabled interactions while pending. Added new translation keys (`loadingModel`, `startingServer`) across all supported locales (en, de, id, pl, vn, zh-CN, zh-TW) and integrated them into the UI. Included a small delay after model start to ensure backend state consistency. This improves user feedback and prevents race conditions during server initialization.
* fix: check for env value before setting (#6266)
* fix: check for env value before setting
* Use empty instead of none
* fix: update linux build script to be consistent with CI (#6269)
The local build script for Linux was failing due to a bundling error. This commit updates the `build:tauri:linux` script in `package.json` to be consistent with the CI build pipeline, which resolves the issue.
The updated script now includes:
- **`NO_STRIP=1`**: This environment variable prevents the `linuxdeploy` utility from stripping debugging symbols, which was a potential cause of the bundling failure.
- **`--verbose`**: This flag provides more detailed output during the build, which can be useful for debugging similar issues in the future.
* fix: compatibility imported model
* fix: update copy mmproj setting desc
* fix: toggle vision for remote model
* chore: add tooltip visions
* chore: show model setting only for local provider
* fix/update-ui-info
* chore: update filter hub while searching
* fix: system monitor window permission
* chore: update credit description
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Co-authored-by: Akarshan Biswas <akarshan.biswas@gmail.com>
Co-authored-by: Faisal Amir <urmauur@gmail.com>
Co-authored-by: Minh141120 <minh.itptit@gmail.com>
Co-authored-by: Nguyen Ngoc Minh <91668012+Minh141120@users.noreply.github.com>
