@nifrajs/deno

Run a nifra app on Deno via Deno.serve.

deno add npm:@nifrajs/deno   # or import npm:@nifrajs/deno directly

import { server } from "@nifrajs/core/server"
import { serve } from "@nifrajs/deno"

const app = server().get("/users/:id", (c) => ({ id: c.params.id }))

const running = await serve(app, { port: 3000 })
// running.port           → the bound port (resolved; useful with `port: 0`)
// await running.stop()   → drain in-flight (Deno's shutdown()), then force-close

Because Deno.serve's handler already speaks Web Request/Response, the app's fetch is the handler - there's no stream bridge (unlike @nifrajs/node). This adapter just adds a Bun-listen()-style graceful stop() and opt-in signals.

Graceful shutdown on signals

await serve(app, { port: 3000, signals: true }) // SIGTERM/SIGINT → graceful stop()

What you get for free

The request timeout (server({ requestTimeoutMs }) → 503 request_timeout) and body-size cap live inside app.fetch, so they apply through this adapter automatically.

Works with any { fetch(req): Promise<Response> } handler, not just nifra. ESM/TS. MIT.

For AI agents

Start with LLM.md - this package's contract card (the exports you call + its footguns), one cheap read instead of the whole corpus. For the wider framework: the repo's AGENTS.md is the copy-paste quick reference, and llms-full.txt is the full machine-readable corpus. Run nifra check as the done-gate, or nifra mcp to give the agent live project tools.