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compute/.github/workflows/ci.yml
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Karti Tripathi 2584ea908e
ci / rust (push) Successful in 2m27s
Lumbridge Compute
Governed compute for unified-memory AI hardware — machines where CPU and GPU
share one pool and there is no separate VRAM allocation to bounce off.
Over-commit that pool and the box thrashes and wedges, SSH and ping included,
before the OOM killer gets a turn.

Compute does not run inference. It supervises the servers that do:

- Admission control against two ceilings — a declared budget, and what the
  machine actually has free. The refusal is the feature.
- A 1 Hz watchdog on MemAvailable that stops the newest model before thrash,
  and defers to a Scene transition rather than racing it.
- Scenes: named sets of models activated as one transactional unit, with
  pre-flight validation and rollback to the previously active Scene on
  failure. Scenes reference model ids, never weight paths or commands, so a
  Scene obtained from elsewhere cannot introduce code.
- Process ownership bound to (boot_id, pid, start_time_ticks, pgid == pid),
  so a reused PID can never be group-killed.
- A protocol-transparent TCP gateway, so clients keep one address while model
  runtimes move behind it.
- An MCP server, so agents drive the node as tools.
- A read-only HTTP API for dashboards: loopback by default, CORS off unless an
  origin is named, and it never mutates.

One binary, six direct dependencies, no async runtime outside the MCP and API
surfaces. Apache-2.0.

Generated from the internal monorepo by scripts/publish-compute.sh, which
refuses to publish a tree it cannot prove clean.
2026-08-03 20:39:56 -07:00

19 lines
351 B
YAML

name: ci
on:
push:
pull_request:
jobs:
rust:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: dtolnay/rust-toolchain@stable
with:
components: rustfmt, clippy
- run: cargo fmt --check
- run: cargo clippy --all-targets
- run: cargo test
- run: cargo build --release