fe1dd90836
Adds the four internal-only fields every v1.1.x stateful service needs
to isolate by app and audit by caller:
- app_id — owning app for this invocation
- principal — Option<Principal>; data-plane is unauthenticated
today so the orchestrator passes None until the
opportunistic middleware lands in the next commit
- trigger_depth — 0 for direct invocations; the triggers framework
(v1.1.1) bounds runaway feedback loops via this
- root_execution_id — equal to execution_id for direct invocations;
preserved across trigger fan-out for audit grouping
ExecRequest stays serializable (cluster mode still has to ship it across
processes when v1.3+ arrives). principal is `#[serde(skip)]` because
shared::Principal has no wire derivation today — when cluster mode lands
the wire-Principal question gets revisited properly.
Engine now carries a Services bundle (empty in v1.1.0). Engine::execute
constructs an SdkCallCx from the request and hands it to sdk::register_all
just after the per-call Rhai engine is built. The hook is a no-op in v1.1.0;
v1.1.1 KV registers its first native fns there.
Adds ExecError::Overloaded { retry_after_secs } and the matching 503 +
Retry-After mapping in orchestrator-core's IntoResponse. The gate that
actually produces this variant lands in the next commit.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
PiCloud
A lightweight, self-hosted, event-driven serverless compute platform. Upload a Rhai script, get an HTTP endpoint. Designed to run on a single modest server with no idle CPU cost, and to scale out to a small cluster when you need it.
Status: Phase 1 — MVP scaffolding in progress.
The authoritative design lives in
serverless_cloud_blueprint.md.
Why
Existing serverless platforms are either cloud-locked, heavyweight, or both. PiCloud aims for the opposite end of the spectrum: one binary, one database, one reverse proxy — running on hardware you already own.
Architecture (one paragraph)
PiCloud splits into three logical services — manager (control plane: scripts, schedules, dashboard), orchestrator (per-node event ingress and dispatch), and executor (per-node Rhai sandbox) — each backed by a *-core Rust library. In MVP they run in a single process; in cluster mode they run as three binaries with one manager and one orchestrator + executor per node. Caddy fronts everything; PostgreSQL is the single source of truth.
See CLAUDE.md for working notes and serverless_cloud_blueprint.md for the full design.
Quick Start
Coming as scaffolding lands. For now:
# Rust toolchain (pinned via rust-toolchain.toml)
cargo check --workspace
# Run the all-in-one MVP binary (once main.rs is wired up)
cargo run -p picloud
Repository Layout
crates/
shared/ cross-cutting types
executor-core/ Rhai engine + sandbox
orchestrator-core/ event ingress, dispatch
manager-core/ control plane
picloud/ MVP all-in-one binary
picloud-{manager,orchestrator,executor}/ cluster-mode binaries (skeleton)
dashboard/ SvelteKit
caddy/ Caddyfile
docker/ Dockerfiles
docs/
git-workflow.md Trunk-based workflow
Contributing
See docs/git-workflow.md for the branching and commit conventions. TL;DR: trunk-based, short-lived branches, Conventional Commits, no force-pushing main.
License
TBD.