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Hello sample bridge — Rust flavor

One of two parallel reference bridges for the Adom Desktop bridge SDK. The Rust flavor is a single static binary — no Python install on the user's machine, no pip install, no runtime dependencies. Fork this when you want a self-contained native bridge (one .exe to ship, faster cold start, type-safe error handling, ideal for CPU-bound work). Kept in lock-step with skills/BRIDGE_SDK.md — every current author contract is demonstrated in src/main.rs.

The Python sibling lives at scripts/sample-bridges/hello-python/ — same surface, different verb prefix (hellopy_ vs hellors_). Both use port: 0 (v1.8.31+ dynamic OS-assigned ports), so they can be installed simultaneously with no port-collision worry.

What it does

Three verbs:

  • hellors_ping → returns {"success": true, "output": "Hello from the Rust sample bridge v1.3.0!", "language": "rust", ...}
  • hellors_echo with {"message": "..."} → echoes the message back as "echo (rust): <msg>"
  • hellors_describe → the self-doc catalog AD renders in its Verbs tab (one entry per verb, with hint/related/pitfalls)

It also demonstrates the current author contracts you should copy: loopback bind via ADOM_BIND_HOST, the self-reported status-chip LED, rich _hints, caller-provenance logging (it prints which AI thread + container drove each call), and a throttled _reportIssues line inviting bug reports.

How it gets installed end-to-end

Relay calls (from a cloud container / galliaApril) each need --ai-thread "<your thread name>" — AD refuses a relayed command with no caller identity (errorCode: caller_identity_required). Shown on the first line; add it to every relayed call. A LOCAL adom-desktop-cli.exe on the same PC as AD does not need it.

# (from galliaApril, or any machine with adom-desktop CLI on PATH)
adom-desktop --ai-thread "my-thread" bridge_install '{"manifestUrl":"https://wiki.adom.inc/api/v1/pages/adom-desktop-hello-rust-bridge/files/adom-bridge-hello-rust-manifest.json"}'

# Confirm it's loaded
adom-desktop --ai-thread "my-thread" bridge_list
# → "hello-rust" appears alongside the bundled bridges + any other installed third-party bridges

# Call a verb
adom-desktop --ai-thread "my-thread" hellors_ping
adom-desktop --ai-thread "my-thread" hellors_echo '{"message":"world"}'

# Uninstall when done
adom-desktop --ai-thread "my-thread" bridge_uninstall '{"name":"hello-rust"}'

Anatomy

File Purpose
bridge.json Required manifest. Declares name, version, spawn config (kind: "exe"), verb prefixes.
BRIDGE_VERSION Convenience version line (kept in sync with bridge.json's version).
Cargo.toml Rust crate manifest. Two deps: tiny_http (~5K LOC HTTP/1.1) + serde/serde_json.
src/main.rs The bridge runtime. ~180 lines including comments.
hello-rust.exe Pre-built Windows x64 binary, included in the wiki-shipped zip. Linux/macOS users rebuild.

Why pick Rust over Python (see hello-python)

  • Single static binary. Users don't need Python installed. One .exe in the zip, no pip install, no virtualenv setup. Cold start in <10ms vs Python's ~100ms.
  • CPU-bound work scales. Heavy parsing, image processing, encoding/decoding — Rust is dramatically faster than Python for the same algorithm.
  • Static typing + strict error handling. Catches a class of bugs at compile time (missing fields, nullable returns) that Python only hits at runtime when a user invokes the broken verb.
  • Tight memory. A bridge listening on a port costs ~3 MB resident in Rust vs ~30 MB for the Python interpreter + stdlib.

Why pick Python over Rust (see hello-python)

  • Vendor has Python bindings. KiCad's pcbnew, Autodesk Fusion 360's add-in API, MATLAB Engine, NI-VISA, etc. all have first-class Python.
  • No build step. Edit server.py, restart the bridge, done. Zero compile latency during development.
  • Shorter for I/O-bound work. Spawning subprocesses, parsing files, talking to HTTP services — Python's stdlib gets you there in fewer lines.

Building from source

# Windows (Adom Desktop's primary host platform)
cd scripts/sample-bridges/hello-rust
cargo build --release
cp target/release/hello-rust.exe .          # the zip ships the binary next to bridge.json

# Linux / macOS (rebuild for your platform before zipping)
cargo build --release
cp target/release/hello-rust .              # note: no .exe suffix
#   then edit bridge.json: "entrypoint": "hello-rust" (drop the .exe)
#   and "platforms.linux.supported": true (or macos)

The release profile is tuned for binary size (opt-level = "z", LTO, panic = "abort", strip) — expect ~1-2 MB on Windows x64. tiny_http + serde are the only deps.

Shipping a new version

# 1. Bump BRIDGE_VERSION + bridge.json's "version" + Cargo.toml's "version" (all three together)
# 2. Rebuild the binary
cd scripts/sample-bridges/hello-rust && cargo build --release && cp target/release/hello-rust.exe .

# 3. Package + upload to wiki
bash scripts/release-bridge.sh hello-rust

# 4. Tell installed clients to refresh
adom-desktop refresh_bridges

What's NOT in the zip (intentionally)

  • No target/ directory — only the final binary at the bridge root. Keeps the zip small (~1-2 MB vs ~80 MB for full target/).
  • No source at all in the runtime zip — the zip ships only hello-rust.exe + bridge.json. Source (src/, Cargo.toml, Cargo.lock) lives in this repo for fork-and-rebuild; ship Cargo.lock in the SOURCE repo for reproducible rebuilds, not in the runtime zip.

When to scale up from this template

Two verbs and a static dispatch match aren't a real bridge. For a real bridge that drives a complex application (Altium, MATLAB), you'd add:

  • A handlers/ module pattern (one .rs per verb category, see the Python plugins/kicad/handlers/ for the layout).
  • A vendor SDK crate as a dependency (e.g. pyo3 if you're wrapping a Python lib, windows crate for COM automation).
  • Persistent state (a RwLock<State> shared across requests) for connection pools, document caches, etc.
  • Caller-provenance forwarding if your bridge calls AD back: forward the X-Adom-Caller-* headers it received + add X-Adom-Caller-Delegate: hello-rust (BRIDGE_SDK.md "Caller provenance"). This sample only reads + logs them.
  • A skills pkg (USER docs) published separately from the runtime zip — the two-artifact layout in the SDK. This sample ships runtime-only.

For inspiration, look at the bundled Puppeteer bridge (plugins/puppeteer/) — it's a Node bridge but the same architectural patterns translate directly to Rust.