Files
infiplot-web/lib/engine/agents/characterDesigner.ts
T
yuanzonghao ca73a41a0b feat(tts): StepFun voice selection via CharacterDesigner + provider-aware beat-audio
Make homepage cards and live sessions produce sound when the server is
configured for StepFun TTS, instead of silently failing (the prebaked
Xiaomi voice was useless on a StepFun server, and wasted ~220KB/beat in
Fast Origin Transfer).

Three coordinated changes:

1. CharacterDesigner now picks a StepFun preset voice id directly from the
   32-entry catalog in the SAME LLM call that designs the character — zero
   extra latency, LLM-grade match quality. The Xiaomi prompt path is
   byte-identical to history (verified programmatically) so cache hit rate
   and voice quality are preserved. pickStepfunVoiceId (keyword scorer)
   remains the fallback for orphan speakers / invalid LLM picks.

2. The 32-preset catalog moves to lib/tts-client/stepfun-voices.json as the
   single source of truth, shared by the scorer, the CharacterDesigner
   prompt, /api/tts-provider, and the offline enrich script.

3. A new GET /api/tts-provider endpoint lets the client probe the server's
   TTS provider at /play mount. fetchBeatAudio then shapes its request body:
   on a StepFun server it sends the lightweight stepfunVoiceId /
   voiceDescription and omits the ~220KB Xiaomi reference audio (FOT saving
   ~13MB per protagonist per session on prebaked cards). requestBeatAudio
   re-provisions on a provider mismatch before synth, so audio never goes
   silent on a cross-provider replay or mid-session provider flip.

New type fields are all optional and backward-compatible: Character.stepfunVoiceId,
BeatAudioRequest.voiceDescription/characterName/stepfunVoiceId, voice made
optional. AGENTS.md updated for the new route, type fields, dependency map,
and StepFun voice-selection flow.
2026-06-15 12:49:25 +08:00

193 lines
7.8 KiB
TypeScript

import { chat, generateImage } from "@infiplot/ai-client";
import {
isStepfun,
isValidStepfunVoiceId,
provisionVoice,
type ProvisionVoiceOptions,
} from "@infiplot/tts-client";
import type {
Character,
CharacterVoice,
EngineConfig,
Session,
} from "@infiplot/types";
import { parseJsonLoose } from "../jsonParser";
import { mockImageDataUri } from "../mockImage";
import {
buildCharacterDesignerSystem,
buildCharacterDesignerUserMessage,
buildCharacterPortraitPrompt,
} from "../prompts";
// ──────────────────────────────────────────────────────────────────────
// CharacterDesigner agent — designs ONE new character.
//
// Exposed as three GRANULAR stages so the director can schedule the slow
// parts around the Painter (a voice is never needed to paint a scene, and
// only entry-beat characters' portraits are referenced by the Painter):
//
// 1. designCharacterCard — ONE LLM call → visual + voice TEXT cards
// (intentional bundling: the same agent thinks about who this character
// IS, keeping appearance and vocal personality coherent)
// 2. renderCharacterPortrait — base portrait image (Runware URL + UUID)
// 3. provisionCharacterVoice — Xiaomi MiMo voicedesign → reference audio
//
// Each step degrades gracefully — if image gen fails the character just has
// no portrait; if voice gen fails it has no voice. The game keeps running.
// ──────────────────────────────────────────────────────────────────────
type CharacterDesignOutput = {
visualDescription?: string;
voiceDescription?: string;
/** Only present on the StepFun path (the system prompt asks for it when
* stepfun:true). Hallucinated / out-of-catalog ids are dropped before
* they reach provisioning, falling back to pickStepfunVoiceId. */
stepfunVoiceId?: string;
};
// TEMP: per-phase timing for latency diagnosis. Same convention as the
// orchestrator's tlog. Remove after we have data on real-world numbers.
function tlog(label: string, t0: number): void {
console.log(`${label}: ${Date.now() - t0}ms`);
}
async function runDesignLLM(
config: EngineConfig,
session: Session,
charName: string,
): Promise<CharacterDesignOutput> {
const raw = await chat(
config.text,
[
{ role: "system", content: buildCharacterDesignerSystem({ stepfun: stepfunEnabled(config) }) },
{
role: "user",
content: buildCharacterDesignerUserMessage(charName, session),
},
],
{ temperature: 0.7, tag: "character-designer" },
);
return parseJsonLoose<CharacterDesignOutput>(raw);
}
/** True when the server's TTS config points at StepFun (so the CharacterDesigner
* should also pick a preset voice id). Returns false when TTS is off or on the
* Xiaomi path — keeping the Xiaomi prompt byte-identical to history. */
function stepfunEnabled(config: EngineConfig): boolean {
return !!config.tts && isStepfun(config.tts);
}
// Generate the per-character base portrait. The portrait is a "concept
// sheet" — single character, neutral pose, plain background — so it works
// well as a Runware referenceImages anchor for later scenes.
//
// Returns the URL (for any client display + URL-form references) and the
// UUID (cheapest reference form for subsequent Painter calls). Both come
// back in one `imageInference` response now that we use outputType=URL —
// no separate upload step needed.
//
// In mock mode we return the data URI as basePortraitUrl with no UUID
// (Painter is short-circuited anyway, so the lack of a UUID is moot).
export async function renderCharacterPortrait(
config: EngineConfig,
charName: string,
visualDescription: string,
styleGuide: string,
): Promise<{ basePortraitUrl?: string; basePortraitUuid?: string }> {
try {
if (config.mockImage) {
return { basePortraitUrl: await mockImageDataUri() };
}
const prompt = buildCharacterPortraitPrompt(
charName,
visualDescription,
styleGuide,
);
// Portraits get the hard timeout but are never hedged — a scene already
// runs several portrait paints in parallel, and hedging those would push
// burst concurrency past Runware's recommended 2-4 in-flight requests.
const { imageUrl, imageUuid } = await generateImage(config.image, prompt, {
timeoutMs: config.imageTimeoutMs,
});
return { basePortraitUrl: imageUrl, basePortraitUuid: imageUuid };
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
console.error(`[characterDesigner] portrait gen failed for ${charName}: ${msg}`);
return {}; // no portrait at all — degrade gracefully
}
}
export async function provisionCharacterVoice(
config: EngineConfig,
voiceDescription: string,
charName: string,
opts?: ProvisionVoiceOptions,
): Promise<CharacterVoice | undefined> {
if (!config.tts) return undefined;
try {
return await provisionVoice(config.tts, voiceDescription, charName, opts);
} catch (err) {
const msg = err instanceof Error ? err.message : String(err);
console.error(`[characterDesigner] voice provision failed for ${charName}: ${msg}`);
return undefined;
}
}
// The cheap first stage: design the visual + voice TEXT cards in one LLM
// call. The director then schedules renderCharacterPortrait /
// provisionCharacterVoice around the Painter. Multiple new characters in the
// same scene run this stage in parallel at the director level.
//
// On the StepFun path the same call ALSO yields stepfunVoiceId (the model
// picks from the 32-preset catalog it sees in the system prompt). An invalid
// pick is dropped here so the downstream provision falls back to the keyword
// scorer — never trust an LLM-hallucinated id at the synth boundary.
export type CharacterCard = {
name: string;
visualDescription?: string;
voiceDescription: string;
/** Only set on the StepFun path AND only when the LLM picked a valid catalog
* id. Threads through provisionCharacterVoice → stepfunProvision. */
stepfunVoiceId?: string;
};
export async function designCharacterCard(
config: EngineConfig,
session: Session,
charName: string,
): Promise<CharacterCard> {
const tDesign = Date.now();
const design = await runDesignLLM(config, session, charName);
tlog(`[charDesigner ${charName}] design LLM`, tDesign);
// Drop invalid catalog picks before they reach provision/synth. A hallucinated
// id would 4xx at synth time; better to fall back to pickStepfunVoiceId now.
const stepfunVoiceId = isValidStepfunVoiceId(design.stepfunVoiceId)
? design.stepfunVoiceId
: undefined;
return {
name: charName,
visualDescription: design.visualDescription?.trim() || undefined,
voiceDescription:
design.voiceDescription?.trim() ||
`请根据角色名「${charName}」推断其性别、年龄与气质,生成最贴合的音色。所属世界观:${session.worldSetting}`,
stepfunVoiceId,
};
}
// Provision voice ONLY for an existing character that the LLM mentioned
// without us having designed them yet (e.g., 编剧 referenced a name that
// wasn't in `activeCharacters` but appeared as a speaker). Used by
// directInsertBeat path and as a safety net in directScene. No portrait
// is generated for these — they get a name + voice only.
export async function provisionVoiceForName(
config: EngineConfig,
session: Session,
charName: string,
): Promise<Character> {
const voiceDescription = `请根据角色名「${charName}」推断其性别、年龄与气质,生成最贴合的音色。所属世界观:${session.worldSetting}`;
const voice = await provisionCharacterVoice(config, voiceDescription, charName);
return { name: charName, voiceDescription, voice };
}