yuanzonghao
e88e988de3
Three transport-only optimizations that cut per-session Vercel FOT by ~50-60%: P0 — Server strips voice.referenceAudioBase64 from already-known characters in /api/scene and /api/insert-beat responses (defense-in-depth). P1 — Client strips all voice data from session before sending to /api/scene, /api/vision, and /api/insert-beat. Voices are retained locally and re-merged from responses via mergeCharactersPreserveVoice(). The engine only needs character names + visualDescriptions for scene generation. P3 — /api/beat-audio returns binary audio (Response with Content-Type) instead of JSON-wrapped base64, saving ~33% encoding overhead. Client converts to blob URLs; PlayCanvas accepts a single audioSrc prop. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
38 lines
1.2 KiB
TypeScript
38 lines
1.2 KiB
TypeScript
import { requestInsertBeat } from "@infiplot/engine";
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import type { InsertBeatRequest } from "@infiplot/types";
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import { NextResponse } from "next/server";
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import { loadEngineConfig } from "@/lib/config";
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export const runtime = "nodejs";
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export const maxDuration = 60;
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export async function POST(req: Request) {
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let body: InsertBeatRequest;
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try {
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body = (await req.json()) as InsertBeatRequest;
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} catch {
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return NextResponse.json({ error: "Invalid JSON" }, { status: 400 });
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}
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if (!body.session || !body.freeformAction) {
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return NextResponse.json(
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{ error: "session and freeformAction are required" },
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{ status: 400 },
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);
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}
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try {
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const base = loadEngineConfig(req.headers);
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// See StartRequest.clientTts — BYO clients synth in-browser, so drop server TTS.
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const config = body.clientTts === true ? { ...base, tts: undefined } : base;
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const result = await requestInsertBeat(config, body);
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return NextResponse.json({
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...result,
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characters: result.characters.map((c) => ({ ...c, voice: undefined })),
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});
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} catch (err) {
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const message = err instanceof Error ? err.message : "Unknown error";
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return NextResponse.json({ error: message }, { status: 500 });
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}
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}
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