# Description of Changes Redesign AI engine so that it autogenerates the `tool_models.py` file from the OpenAPI spec so the Python has access to the Java API parameters and the full list of Java tools that it can run. CI ensures that whenever someone modifies a tool endpoint that the AI enigne tool models get updated as well (the dev gets told to run `task engine:tool-models`). There's loads of advantages to having the Java be the one that actually executes the tools, rather than the frontend as it was previously set up to theoretically use: - The AI gets much better descriptions of the params from the API docs - It'll be usable headless in the future so a Java daemon could run to execute ops on files in a folder without the need for the UI to run - The Java already has all the logic it needs to execute the tools - We don't need to parse the TypeScript to find the API (which is hard because the TS wasn't designed to be computer-read to extract the API) I've also hooked up the prototype frontend to ensure it's working properly, and have built it in a way that all the tool names can be translated properly, which was always an issue with previous prototypes of this. --------- Co-authored-by: Anthony Stirling <[email protected]> Co-authored-by: EthanHealy01 <[email protected]>
Frontend
All frontend commands are run from the repository root using Task:
task frontend:dev— start Vite dev server (localhost:5173)task frontend:build— production buildtask frontend:test— run teststask frontend:test:watch— run tests in watch modetask frontend:lint— run ESLint + cycle detectiontask frontend:typecheck— run TypeScript type checkingtask frontend:check— run typecheck + lint + testtask frontend:install— install npm dependencies
For desktop app development, see the Tauri section below.
Environment Variables
The frontend requires environment variables to be set before running. task frontend:dev will create a .env file for you automatically on first run using the defaults from config/.env.example - for most development work this is all you need.
If you need to configure specific services (Google Drive, Supabase, Stripe, PostHog), edit your local .env file. The values in config/.env.example show what each variable does and provides sensible defaults where applicable.
For desktop (Tauri) development, task desktop:dev will additionally create a .env.desktop file from config/.env.desktop.example.
Docker Setup
For Docker deployments and configuration, see the Docker README.
Tauri
All desktop tasks are available via Task. From the root of the repo:
Dev
task desktop:dev
This ensures the JLink runtime and backend JAR exist (skipping if already built), then starts Tauri in dev mode.
Build
task desktop:build
This does a full clean rebuild of the backend JAR and JLink runtime, then builds the Tauri app for production.
Platform-specific dev builds are also available:
task desktop:build:dev # No bundling
task desktop:build:dev:mac # macOS .app bundle
task desktop:build:dev:windows # Windows NSIS installer
task desktop:build:dev:linux # Linux AppImage
JLink Tasks
You can also run JLink steps individually:
task desktop:jlink # Build JAR + create JLink runtime
task desktop:jlink:jar # Build backend JAR only
task desktop:jlink:runtime # Create JLink custom JRE only
task desktop:jlink:clean # Remove JLink artifacts
Clean
task desktop:clean
Removes all desktop build artifacts including JLink runtime, bundled JARs, Cargo build, and dist/build directories.
Note
Desktop builds require additional environment variables. See Environment Variables above -
task desktop:devwill set these up automatically fromconfig/.env.desktop.exampleon first run.