Getting started

Labello runs as two processes during development: an API server and a Trunk server for the browser client. Use the same hostname for both throughout login.

Start the application

Install Rustup. From the repository root, install the pinned compiler and Trunk:

rustup show
cargo install --locked trunk --version 0.21.14
cargo run --locked -p labello-server

The repository selects Rust 1.98.0, rustfmt, Clippy, and wasm32-unknown-unknown. Native inspector builds additionally need the graphics libraries listed in verification.

The API creates labello.server.toml if it is missing, uses datasets/ for data, and listens at 127.0.0.1:8080. In a second terminal:

cd apps/labello-wasm
trunk serve --locked --address 127.0.0.1 --port 8081

Open http://127.0.0.1:8081. The login page checks the session and available sign-in methods before showing them. Choose Continue as local admin for the local setup. This signs in as the first bootstrap administrator, admin by default. Keep this login disabled on an internet-facing installation.

Create the first dataset

1. In Setup, create a dataset with a new ID and name. Only bootstrap administrators can create datasets.
2. Leave Copy schema from at None to define new classes and workflows, or select a dataset where you have DataAdmin access. Check its preview before creation; schema copies retain compatible IDs and keypoint ordering.
3. In Administration, configure classes and box or skeleton workflows. Choose whether submission completes work or sends it to approval review.
4. Add images through a browser folder or configured relative filesystem roots, then ingest them. Ingestion identifies duplicates by content hash.
5. Assign annotator, reviewer, and data-admin roles as needed.
6. Open Annotate, select a workflow, and label the assigned image. Use Review for submitted work and Inspect to browse images without claiming them.

See administration for schema-copy boundaries and dataset settings, and annotation and review for workspace controls. To bring existing labels into a new dataset, use Import a dataset when the server advertises that capability.

Connect and sign in

The browser resolves its API URL from the api query parameter, then public labello.client.json, then port 8080 on the browser's hostname. Configure a hosted default using the browser configuration. Advanced connection on the login page permits an endpoint override.

GitHub OAuth requires the server settings and callback described in configuration. GitHub accounts use internal IDs such as github_123456. On first login they receive annotator access to existing datasets without a role assignment; data admins can change that access. Dataset creation still requires inclusion in bootstrapAdmins.

The browser prepares two upcoming assignments by default. Dataset administrators can set a target from 1 through 200 in Administration > Automation, in addition to current work. The old queueSize URL parameter is ignored. See preloading configuration and resource costs before choosing a large queue.

Troubleshooting

Symptom	Check
No login method	Confirm the server enables local development login or GitHub OAuth; retry failed option discovery separately from the session check
Browser cannot reach the API	Confirm both processes are running, the API URL is correct, and browserOrigins contains the exact browser origin
OAuth returns without a session	Keep localhost and 127.0.0.1 consistent; verify the public callback path and proxy prefix
Startup reports invalid browser configuration	Check JSON syntax, the absolute URL, and a trailing slash on path prefixes; missing runtime files must return 404, not index.html
No assignment	Check the selected workflow, role, enabled tasks, active leases, imported coverage, and balance window
Image load fails	Use Retry image load; the browser never fetches a larger image as a fallback
A request fails	Record the displayed request ID and consult redacted server logs

About is available before and after sign-in and can copy browser/server build information. For production installation and backups, continue with deployment and operations.