0e4c2ebef4
Squash-merge the cloudflare-migration branch (7 commits by Kai ki) into staging with conflict resolution, feature integration, and bug fixes. Engine: - Paradigm D: single-stream Writer replacing dual-phase Plan/Beats - Delete Architect agent; story bible generated via Writer <plan> tag - Modular prompt architecture (segments/registry/builder) - StreamRouter for tagged stream splitting (<plan>/<story>/<choices>) Infrastructure: - Cloudflare Workers deployment (wrangler.jsonc, OpenNext adapter) - D1 database schema + Drizzle ORM (scaffolded, not yet active) - R2 storage helpers (scaffolded, not yet active) - Story persistence API routes + client-side persistence BYOK (Bring Your Own Key): - /api/llm/user-proxy with SSRF-protected LLM proxy (+ requireUser auth) - CORS-aware fetch in ai-client: auto-detect CORS failure, fallback to server proxy transparently via OpenAI SDK custom fetch - BYO config support added to classify-freeform and vision routes - SettingsModal CORS privacy notice (keys never logged/stored) SSE streaming: - engineClient.ts: fetchSSE helper for progressive scene events - startSession/requestScene accept optional emit callback - Fix SSE error event field name (error → message) in scene/start routes i18n integration: - Wire buildLanguageDirective into paradigm D's prompt builder - Update corsNotice i18n keys (zh-CN/en/ja) with CORS proxy privacy text - Preserve Session.language + LanguageSwitcher from i18n commit Co-authored-by: Kai ki <155355644+zbf1009@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
60 lines
2.1 KiB
TypeScript
60 lines
2.1 KiB
TypeScript
import type { ChatMessage } from "@infiplot/ai-client";
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import type { Session } from "@infiplot/types";
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import { WRITER_SEGMENTS } from "./registry";
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import { buildWriterContext } from "../context";
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import { buildLanguageDirective } from "../prompts";
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/**
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* Build the full ChatMessage[] for the Writer agent.
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*
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* Segments from the registry provide the system prompt (stable zone).
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* ContextProvider supplies session-specific data (stable + dynamic zones).
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* Dynamic parts are wrapped in a user message (Plan C: pseudo-dialogue closure).
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*/
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export function buildWriterStreamMessages(session: Session): ChatMessage[] {
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const systemParts: string[] = [];
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const segments = WRITER_SEGMENTS
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.filter((s) => s.enabled)
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.sort((a, b) => {
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if (a.zone !== b.zone) return a.zone === "stable" ? -1 : 1;
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return a.order - b.order;
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});
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for (const seg of segments) {
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try {
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const content =
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typeof seg.content === "string" ? seg.content : seg.content(session);
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if (content.trim()) systemParts.push(content);
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} catch (err) {
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console.warn(`[PromptBuilder] segment "${seg.id}" render failed, skipped:`, err);
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}
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}
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const { stableParts, dynamicParts } = buildWriterContext(session);
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const messages: ChatMessage[] = [];
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// System message: segment content + stable context data
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const systemContent = [
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...systemParts,
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...stableParts.filter((p) => p.trim()),
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].join("\n\n");
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if (systemContent.trim()) {
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messages.push({ role: "system", content: systemContent });
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}
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// User message: dynamic context data + pseudo-dialogue closure (Plan C)
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const dynamicContent = dynamicParts.filter((p) => p.trim()).join("\n\n");
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if (dynamicContent.trim()) {
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const langDirective = buildLanguageDirective(session.language);
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messages.push({
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role: "user",
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content: `编剧,下面是当前情境:\n\n${dynamicContent}\n\n现在请按上述指导开始创作,严格按 <plan>→<story>→<choices> 三段输出:<plan> 用 JSON 规划,<story> 写连贯散文正文,<choices> 给出选项。${langDirective}`,
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});
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}
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return messages;
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}
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