yuanzonghao
3bf5c92841
The Writer was the serial long pole: a single LLM call wrote the scene skeleton AND the full beats[] graph before anything downstream could start, so variable-length beat generation blew up tail latency. Split it into two calls: - Phase A (runWriterPlan): minimal skeleton the image pipeline needs (sceneSummary, sceneKey, entryBeatId, cast, entry roster, entry speaker). Serial, on the critical path, kept lightweight. - Phase B (runWriterBeats): full beats[] + storyStatePatch, written to honor the plan. Launched immediately, overlaps the ENTIRE image pipeline (cards / cinematographer / portraits / painter), awaited last. Critical path becomes PhaseA + max(imagePipeline, PhaseB), so the long beat-writing is hidden behind image gen. A Phase B failure degrades to a single playable beat synthesized from the plan. Paired distinct-payload A/B (6 content-matched stories, baseline vs split): - median end-to-end 42.6s -> 32.2s (-24%) - mean 46.4s -> 33.1s (-29%) - worst case 74.7s -> 37.6s (halved) - no content regression: total Writer output tokens 12858 -> 13699 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
16 lines
523 B
TypeScript
16 lines
523 B
TypeScript
export {
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startSession,
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requestScene,
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visionDecide,
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requestInsertBeat,
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requestBeatAudio,
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} from "./orchestrator";
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export { synthesizeBeat } from "./voice";
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export { mergeCharacters } from "./director";
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export type { SceneResult } from "./director";
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export { runArchitect } from "./agents/architect";
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export type { WriterBeatsOutput } from "./agents/writer";
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export type { CinematographerOutput } from "./agents/cinematographer";
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export type { InsertBeatPartial } from "@infiplot/types";
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export * from "./prompts";
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