Skillquality 0.45

litestar-build

Auto-activate for uv build, hatch build, pyapp, Hatchling force-include, bundled frontend assets, PyApp onefile binaries, GitHub Actions build matrices, PYAPP_* env vars, cargo-zigbuild, or python-build-standalone. Use when packaging Litestar apps as wheels, onefile binaries, rel

Price
free
Protocol
skill
Verified
no

What it does

litestar-build

Build-side packaging patterns for Litestar applications: how to produce a self-contained wheel that embeds the Vite/Bun frontend, how to wrap that wheel in a PyApp onefile binary, and how to wire the whole pipeline into GitHub Actions CI and releases.

This skill is the counterpart to litestar-deployment — build is about producing artifacts, deployment is about running them.

The Core Idea: One Wheel, Self-Contained

A Litestar wheel is the single source of truth for a release. It contains:

  • Python code (src/py/app/ or app/)
  • SQL migrations, Jinja templates, INI configs
  • The built Vite/Bun frontend bundle (JS, CSS, HTML, images)
  • Email templates rendered from React/MJX to static HTML

Once produced, that wheel can be:

  1. pip installed into a container (litestar-deployment).
  2. Wrapped in a PyApp binary (dist/<app>, dist/app-x86_64-linux-gnu) for zero-dep distribution.
  3. Uploaded to PyPI or a private index.

All three paths assume the wheel is already complete — no bun run build happens at deploy/install time.

Why bundle assets into the wheel (and not serve from a CDN)

PropertyBundled wheelExternal CDN
Deploy artifacts1 (.whl or binary)2+ (wheel + CDN upload)
Version alignmentAtomic — API and UI lock-stepEasy to skew; rollback is painful
PyApp onefileRequired — the binary embeds the wheelNot possible — binary can't fetch CDN URLs at install time
Offline/air-gappedWorksDoesn't
Dev server startupInstant (files on disk next to package)Fine
Frontend-only deploysRebuild + redeploy wheelPush to CDN only

For most Litestar apps that ship as a product (CLIs, internal tools, enterprise installers), bundled-in-wheel is correct. Projects like litestar-fullstack-inertia and litestar-fullstack all bundle.

Why litestar-vite configs look the way they do in reference apps

This is the piece most developers miss. The Vite/litestar-vite configs in the reference apps are deliberately set up so the Vite output lands inside the Python package directory — because that's what makes the wheel pick them up automatically.

litestar-fullstack (src/js/web/vite.config.ts):

export default defineConfig({
  build: {
    outDir: path.resolve(__dirname, "../../py/app/server/static/web"),  // ← inside src/py/app/ (the Python package)
    emptyOutDir: true,
  },
  plugins: [
    litestar({
      bundleDir: path.resolve(__dirname, "../../py/app/server/static/web"),
      hotFile: path.resolve(__dirname, "../../py/app/server/static/web/hot"),
    }),
  ],
})

litestar-fullstack-inertia — the litestar-vite plugin resolves bundle_dir relative to the project root, and Python settings point it at a package-internal path:

# app/lib/settings.py
return ViteConfig(
    paths=PathConfig(
        root=BASE_DIR.parent,
        bundle_dir=Path("app/domain/web/public"),   # ← inside app/ (the Python package)
        resource_dir=Path("resources"),
    ),
)

Advanced reference pattern — same approach: Vite and the offline-report build write to src/py/<app>/server/public/ and src/py/<app>/domain/web/static/reports/offline/, both under the package root.

Contrast with a naïve vite build that writes to ./dist/ at the repo root: those files are outside the package directory listed in [tool.hatch.build.targets.wheel] packages = [...], so Hatchling silently drops them. The wheel ships without a frontend.

Rule: Vite's outDir and litestar-vite's bundle_dir must point inside one of the Python packages that Hatchling is told to include. Everything else flows from that.

Quick Reference

TopicReferenceKey Commands
Wheel build + asset bundlingreferences/wheel-assets.mduv build --wheel, [tool.hatch.build.targets.wheel.force-include], ignore-vcs = true
PyApp — simple (hatch-binary)references/pyapp-simple.mduv run hatch build --target binary
PyApp — advanced (offline + custom install dir)references/pyapp-advanced.mdtools/bundler.py build, cargo zigbuild
GitHub Actions CI (test matrix)references/github-ci.mdastral-sh/setup-uv@v7, oven-sh/setup-bun@v2, composite actions
GitHub Actions releasereferences/github-release.mdmatrix onefiles, cargo-zigbuild, gh release create
Upgrading Python / PyAppreferences/upgrading.mdFiles to edit in sync

Canonical Makefile Build Graph

Every Litestar app with bundled assets has some variant of this:

.PHONY: install build-assets build-wheel build-onefile

install:                          ## Install Python + JS deps
	@uv sync --all-groups
	@cd src/js/web && bun install --frozen-lockfile

build-assets:                     ## Build frontend into the Python package
	@uv run app assets install
	@uv run app assets build

build-wheel: build-assets         ## Self-contained Python wheel
	@uv build --wheel

build-onefile: build-wheel        ## Single-file PyApp binary
	@./tools/scripts/build-onefile-package.sh

The dependency chain is load-bearing: build-onefile depends on build-wheel, which depends on build-assets. Running them out of order produces an empty or broken artifact.

The two-variant story

Real projects have multiple JS build outputs that all need to land in the wheel:

js-build-all: js-build-web js-build-offline-report
build-wheel: generate-licenses build-templates js-build-all
	@uv build --wheel

Each js-build-* target emits into a distinct subdirectory of the Python package (src/py/<app>/server/public, src/py/<app>/domain/web/static/reports/offline, etc.). Because they're all inside the package, a single uv build --wheel captures everything.

<workflow>

Workflow

Step 1: Point Vite output inside the Python package

Open vite.config.ts. Set build.outDir to an absolute path inside your Python package (src/py/<pkg>/... or <pkg>/...). Set litestar({ bundleDir, hotFile }) to the same path. Do not let Vite default to ./dist/.

Step 2: Choose a Hatchling bundling strategy

  • force-include (inertia): List the built-asset directory explicitly under [tool.hatch.build.targets.wheel.force-include]. Built assets stay .gitignored. Explicit, auditable.
  • ignore-vcs = true (SPA): Tell Hatchling to ignore .gitignore. All package files ship. Simpler; requires discipline to keep dev junk out of package dirs.

See references/wheel-assets.md for full config.

Step 3: Wire Makefile targets

Create install, build-assets, build-wheel. Make the wheel target depend on the asset target. Add any secondary generators (build-templates, generate-licenses) as additional wheel prerequisites.

Step 4: Add PyApp (if shipping a binary)

Decide which flavor:

  • Simple: add [tool.hatch.build.targets.binary] to pyproject.toml and run uv run hatch build --target binary. Good when end-users have PyPI access. See pyapp-simple.md.
  • Advanced: write a tools/bundler.py that pre-installs deps into a python-build-standalone archive, patches PyApp's src/app.rs for a custom install dir, then runs cargo zigbuild. Good for air-gapped distribution or bespoke install locations. See pyapp-advanced.md.

Step 5: Add GitHub Actions CI

Start with a reusable test.yml that accepts python-version + coverage inputs. Call it from ci.yml across a matrix. Use astral-sh/setup-uv@v7 and oven-sh/setup-bun@v2. See github-ci.md.

For larger projects, factor setup-python and setup-node into .github/actions/ composite actions.

Step 6: Add release workflow

Trigger on v* tags. Run the test matrix first. Then build the wheel once. Then build PyApp onefiles in a per-target matrix (x86_64-unknown-linux-gnu, aarch64-unknown-linux-gnu, Apple, Windows). Upload to gh release create. See github-release.md.

</workflow> <guardrails>

Guardrails

  • Vite/bun output must land inside a Python package directory. Otherwise Hatchling drops it. Set build.outDir and litestar({ bundleDir }) to an absolute path under src/py/<pkg>/ or <pkg>/.
  • uv build runs last. Assets, licenses, templates, OpenAPI TypeGen all run before uv build --wheel. Hatchling can't build Vite itself.
  • Pick one bundling strategy. force-include or ignore-vcs = true, not both. Mixing them causes duplicate-file warnings and unpredictable wheel contents.
  • PyApp envs are build-time, not runtime. PYAPP_PROJECT_NAME, PYAPP_PYTHON_VERSION, PYAPP_DISTRIBUTION_EMBED are consumed when cargo build compiles PyApp — not when the resulting binary runs. Setting them at runtime does nothing.
  • PyApp version upgrades touch multiple files. pyproject.toml, build-onefile-package.sh, .github/workflows/release.yml, tools/bundler.py. See upgrading.md.
  • cargo-zigbuild for portable glibc. Plain cargo build on a modern Linux runner produces binaries that fail on older distros (glibc too new). Use cargo zigbuild --target x86_64-unknown-linux-gnu.2.17 to link against glibc 2.17 (CentOS 7-era). Required for broad compatibility.
  • Static-link native deps in PyApp. Set BZIP2_SYS_STATIC=1 and LZMA_API_STATIC=1 before cargo zigbuild, or patch Cargo.toml to add features = ["static"]. Otherwise the onefile fails to load on systems without matching libbz2.so / liblzma.so.
  • Pin uv and bun versions in CI. Use exact pinned versions (e.g., UV_VERSION=0.11.6 and BUN_INSTALL_VERSION=bun-v1.3.12). Drift in either breaks reproducible builds.
  • Create placeholder asset dirs in CI. Hatchling's wheel target fails if app/domain/web/public or src/py/app/server/static/web doesn't exist at wheel-build time. CI jobs that don't build the frontend (lint, mypy, pyright) still need mkdir -p <asset-dir> before uv sync.
  • Never commit built frontend output. Keep bundle_dir paths in .gitignore. CI rebuilds them on every run. Reason: JS builds are non-deterministic across machines and cause noisy diffs.
  • Coverage on one Python version only. Multiple versions uploading the same coverage.xml silently stomp each other. Pin it to one version in your matrix (if: matrix.python-version == '3.12').
  • Disk cleanup on self-hosted runners. GitHub's ubuntu-latest has ~30GB free; building wheels + PyApp + Docker images can blow past that. Aggressive cleanup before the build job is routine.
</guardrails> <validation>

Validation Checkpoint

Before claiming "the wheel builds":

  • make build-wheel succeeds in a clean checkout (after make install)
  • unzip -l dist/*.whl | grep -E '\.(js|css|html)$' shows the built frontend
  • The wheel installs cleanly (uv pip install dist/*.whl in a fresh venv)
  • python -c "import app; app.run()" (or equivalent) serves assets with no extra steps
  • .gitignore excludes the built asset directory
  • Vite's build.outDir is an absolute path inside a Python package dir
  • Hatchling config uses exactly one of force-include OR ignore-vcs = true

Before claiming "the PyApp binary works":

  • dist/<app> --help runs on the build machine
  • The binary is ≥ 50 MB (much smaller means it's not embedding Python)
  • On Linux, ldd dist/<app> shows ≤ libc / libm / libpthread (no libbz2, no liblzma)
  • A network-isolated docker run --rm --network=none ghcr.io/.../distroless -- <app> --help succeeds (proves no runtime PyPI fetches)
  • The install dir (~/.<app>/runtime/ or similar) is created on first run and re-used on second run

Before claiming "CI works":

  • Python matrix covers minimum + stable + latest (e.g., 3.11, 3.12, 3.13)
  • make build-wheel runs in CI and the resulting wheel is uploaded as an artifact
  • Pre-commit / ruff / mypy / pyright / slotscheck run on every PR
  • Release workflow is gated on CI (needs: [lint, test])
  • A tag push produces wheel + onefiles + GitHub release in one run
</validation>

Example Projects

Everything in this skill is distilled from three production projects. Read these for the full picture:

  • litestar-fullstack-inertia — monolithic app/ layout, Inertia.js + React 19, force-include bundling, hatch build --target binary for 4-platform PyApp.
  • litestar-fullstack — nested src/py/app/ + src/js/web/ layout, React + TanStack Router SPA, ignore-vcs = true bundling, React Email templates.

Official References

Cross-References

  • litestar-deployment — runtime deployment (Dockerfiles, K8s, Railway, Cloud Run, systemd) that consumes the artifacts this skill produces
  • litestar-vite — Vite plugin config (asset pipeline details, TypeGen, HMR)
  • litestar-granian — Granian ASGI server (what the wheel's entry-point starts)
  • litestar settings — env-driven @dataclass settings that work both in-wheel and as a PyApp binary

Shared Styleguide Baseline

Capabilities

skillsource-litestar-orgskill-litestar-buildtopic-advanced-alchemytopic-agent-skillstopic-agentskillstopic-ai-agentstopic-claude-code-plugintopic-claude-code-skillstopic-gemini-cli-extensiontopic-htmxtopic-inertiatopic-litestartopic-mcptopic-python

Install

Installnpx skills add litestar-org/litestar-skills
Transportskills-sh
Protocolskill

Quality

0.45/ 1.00

deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 7 github stars · SKILL.md body (14,575 chars)

Provenance

Indexed fromgithub
Enriched2026-05-18 19:13:53Z · deterministic:skill-github:v1 · v1
First seen2026-05-18
Last seen2026-05-18

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