WASM operator notes (R wasm)

Goal: Run deterministic work (parse, aggregate, scoring) in WASM so it does not consume LLM tokens.

Registration

adapters/openclaw_integration.py registers WasmAdapter when wasmtime is available and demo modules exist under demo/wasm/ (metrics, health — .wasm or .wat).

Custom deployments: extend the same pattern — map logical names to absolute paths via env or code, then call R wasm CALL ... from AINL (see runtime WasmAdapter contract).

Safe rollout

1. Identify a hot path that is pure/deterministic (same inputs → same outputs).
2. Add or reuse a small module; unit-test the WASM boundary.
3. Route one label or monitor to WASM; keep the Python fallback until parity is proven.
4. Expand only after benchmarks show real savings.

This is not a substitute for gateway caps or embedding retrieval — it removes LLM calls only where logic is already non-LLM.