docs(folio): add llm action-backend example spec

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// LLM action-backend variant of spec.ts.
//
// The properties and the login `setup` are reused verbatim; only the action
// generator changes. Instead of the seeded fuzzer drawing a random candidate,
// `llm({ model })` hands selection to an OpenRouter vision model: each step it
// sees the screenshot plus the candidate list the system already enumerates and
// returns which candidate to act on. The candidate set, the typed input values,
// action execution, and the trace are all identical to the seeded run.
//
// Requirements:
// - OPENROUTER_API_KEY in the environment.
// - A model that supports image input AND strict json_schema structured
// outputs (e.g. "openai/gpt-4o"). A model lacking either fails clearly.
import { llm } from "@sanderling/spec";
export { properties, setup } from "./spec";
export const actionsRoot = llm({ model: "openai/gpt-4o" });