From 48b73913650e8163c140a4437e2750ffc0918e87 Mon Sep 17 00:00:00 2001 From: azumonya Date: Wed, 29 Jul 2026 11:42:41 +0800 Subject: [PATCH] demo --- .env.example | 13 + .gitignore | 47 + AGENTS.md | 5 + CLAUDE.md | 1 + README.md | 105 + components.json | 21 + eslint.config.mjs | 18 + next.config.ts | 7 + package-lock.json | 10522 ++++++++++++++++ package.json | 53 + pnpm-lock.yaml | 7086 +++++++++++ pnpm-workspace.yaml | 5 + postcss.config.mjs | 7 + public/file.svg | 1 + public/globe.svg | 1 + public/next.svg | 1 + public/vercel.svg | 1 + public/window.svg | 1 + scripts/acceptance.mjs | 1051 ++ src/app/api/chat/route.ts | 120 + src/app/api/chat/runs/[id]/stop/route.ts | 22 + src/app/api/chat/runs/[id]/stream/route.ts | 51 + src/app/api/conversation/route.ts | 32 + src/app/api/skills/[id]/route.ts | 96 + src/app/api/skills/builder/[id]/stop/route.ts | 15 + src/app/api/skills/builder/route.ts | 60 + .../api/skills/builder/suggestions/route.ts | 15 + src/app/api/skills/route.ts | 58 + src/app/favicon.ico | Bin 0 -> 25931 bytes src/app/globals.css | 277 + src/app/layout.tsx | 27 + src/app/page.tsx | 6 + src/app/skills/[id]/page.tsx | 9 + src/app/skills/new/page.tsx | 6 + src/components/assistant-builder-chat.tsx | 293 + src/components/assistant-chat.tsx | 635 + src/components/brand-mark.tsx | 30 + src/components/builder-composer.tsx | 44 + src/components/chat-composer.tsx | 335 + src/components/chat-error-notice.tsx | 49 + src/components/chat-workspace.tsx | 548 + src/components/conversation-actions.tsx | 196 + src/components/skill-builder.tsx | 609 + src/components/skill-picker.tsx | 421 + src/components/skill-progress.tsx | 84 + src/components/skill-tag.tsx | 100 + src/components/streaming-markdown.tsx | 310 + src/components/tool-fallback.tsx | 612 + src/components/ui/alert-dialog.tsx | 196 + src/components/ui/button.tsx | 64 + src/components/ui/collapsible.tsx | 33 + src/components/ui/dialog.tsx | 158 + src/components/ui/input.tsx | 21 + src/components/ui/popover.tsx | 89 + src/components/use-smooth-follow.ts | 121 + src/lib/api.ts | 17 + src/lib/builder-runs.ts | 129 + src/lib/chat-runs.ts | 530 + src/lib/client-sse.ts | 38 + src/lib/db.ts | 1096 ++ src/lib/deepseek.ts | 1264 ++ src/lib/model-usage.ts | 261 + src/lib/skill-capabilities.ts | 95 + src/lib/skill-continuation.ts | 142 + src/lib/skill-node-quality.ts | 108 + src/lib/skill-recommendation-scope.ts | 60 + src/lib/sse.ts | 19 + src/lib/types.ts | 241 + src/lib/utils.ts | 45 + src/lib/validation.ts | 143 + tsconfig.json | 34 + 71 files changed, 28910 insertions(+) create mode 100644 .env.example create mode 100644 .gitignore create mode 100644 AGENTS.md create mode 100644 CLAUDE.md create mode 100644 README.md create mode 100644 components.json create mode 100644 eslint.config.mjs create mode 100644 next.config.ts create mode 100644 package-lock.json create mode 100644 package.json create mode 100644 pnpm-lock.yaml create mode 100644 pnpm-workspace.yaml create mode 100644 postcss.config.mjs create mode 100644 public/file.svg create mode 100644 public/globe.svg create mode 100644 public/next.svg create mode 100644 public/vercel.svg create mode 100644 public/window.svg create mode 100644 scripts/acceptance.mjs create mode 100644 src/app/api/chat/route.ts create mode 100644 src/app/api/chat/runs/[id]/stop/route.ts create mode 100644 src/app/api/chat/runs/[id]/stream/route.ts create mode 100644 src/app/api/conversation/route.ts create mode 100644 src/app/api/skills/[id]/route.ts create mode 100644 src/app/api/skills/builder/[id]/stop/route.ts create mode 100644 src/app/api/skills/builder/route.ts create mode 100644 src/app/api/skills/builder/suggestions/route.ts create mode 100644 src/app/api/skills/route.ts create mode 100644 src/app/favicon.ico create mode 100644 src/app/globals.css create mode 100644 src/app/layout.tsx create mode 100644 src/app/page.tsx create mode 100644 src/app/skills/[id]/page.tsx create mode 100644 src/app/skills/new/page.tsx create mode 100644 src/components/assistant-builder-chat.tsx create mode 100644 src/components/assistant-chat.tsx create mode 100644 src/components/brand-mark.tsx create mode 100644 src/components/builder-composer.tsx create mode 100644 src/components/chat-composer.tsx create mode 100644 src/components/chat-error-notice.tsx create mode 100644 src/components/chat-workspace.tsx create mode 100644 src/components/conversation-actions.tsx create mode 100644 src/components/skill-builder.tsx create mode 100644 src/components/skill-picker.tsx create mode 100644 src/components/skill-progress.tsx create mode 100644 src/components/skill-tag.tsx create mode 100644 src/components/streaming-markdown.tsx create mode 100644 src/components/tool-fallback.tsx create mode 100644 src/components/ui/alert-dialog.tsx create mode 100644 src/components/ui/button.tsx create mode 100644 src/components/ui/collapsible.tsx create mode 100644 src/components/ui/dialog.tsx create mode 100644 src/components/ui/input.tsx create mode 100644 src/components/ui/popover.tsx create mode 100644 src/components/use-smooth-follow.ts create mode 100644 src/lib/api.ts create mode 100644 src/lib/builder-runs.ts create mode 100644 src/lib/chat-runs.ts create mode 100644 src/lib/client-sse.ts create mode 100644 src/lib/db.ts create mode 100644 src/lib/deepseek.ts create mode 100644 src/lib/model-usage.ts create mode 100644 src/lib/skill-capabilities.ts create mode 100644 src/lib/skill-continuation.ts create mode 100644 src/lib/skill-node-quality.ts create mode 100644 src/lib/skill-recommendation-scope.ts create mode 100644 src/lib/sse.ts create mode 100644 src/lib/types.ts create mode 100644 src/lib/utils.ts create mode 100644 src/lib/validation.ts create mode 100644 tsconfig.json diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..1612bde --- /dev/null +++ b/.env.example @@ -0,0 +1,13 @@ +# DeepSeek API（不配置时应用会自动进入可操作的本地演示模式） +DEEPSEEK_API_KEY= + +# 可选覆盖项 +DEEPSEEK_MODEL=deepseek-v4-flash +DEEPSEEK_BASE_URL=https://api.deepseek.com +DATABASE_PATH=./data/skillloom.db + +# 可选：覆盖当前模型的人民币单价（每百万 Token） +DEEPSEEK_PRICE_CACHE_HIT_INPUT_CNY_PER_MILLION=0.02 +DEEPSEEK_PRICE_CACHE_MISS_INPUT_CNY_PER_MILLION=1 +DEEPSEEK_PRICE_OUTPUT_CNY_PER_MILLION=2 +DEEPSEEK_PRICE_VERSION=deepseek-2026-04-24 diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..6651eba --- /dev/null +++ b/.gitignore @@ -0,0 +1,47 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files (can opt-in for committing if needed) +.env* +!.env.example + +# local sqlite data +/data/*.db +/data/*.db-* +/.acceptance/ + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..8bd0e39 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,5 @@ + +# This is NOT the Next.js you know + +This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` before writing any code. Heed deprecation notices. + diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..43c994c --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..852b421 --- /dev/null +++ b/README.md @@ -0,0 +1,105 @@ +# Skill Loom + +一个可直接运行的单会话 AI Skill 工作台。用户可以组合多个 Skill 发起一轮对话，也可以通过与 AI 对话，按顺序完成五个节点来创建或编辑 Skill。 + +## 已实现 + +- 单会话聊天、SQLite 持久化与首轮 AI 主题标题 +- 标题编辑、会话重置（重置后标题清空） +- DeepSeek V4 Flash 流式回答 +- Skill 多选、拖拽排序、标签移除与 `/` 快速提示 +- 每轮由 AI 独立判断实际使用哪些已选 Skill +- 候选 Skill 与实际使用 Skill 的差异化高亮反馈 +- 回答中止；中止作为本轮终态处理，并清空本轮 Skill +- SSE 事件持久化、序号去重与断线续传 +- Skill 新建、AI 对话编辑、删除与列表自动刷新 +- 五节点严格顺序：触发条件、输入参数、执行步骤、输出格式、约束与测试 +- 已完成节点可回改，未解锁节点不可跳过 +- 右侧节点内容完全只读，只能通过 AI 对话修改 +- 所有节点完成后才允许保存 +- AI JSON 输出经过严格结构校验、纠错重试和服务端二次约束 +- 无 API Key 时自动进入可操作的本地演示模式 + +## 本地运行 + +要求 Node.js 24 或更高版本（项目使用 Node 内置的 `node:sqlite`）。 + +```bash +npm install +``` + +复制环境变量模板： + +```powershell +Copy-Item .env.example .env.local +``` + +在 `.env.local` 中设置： + +```env +DEEPSEEK_API_KEY=你的_API_Key +DEEPSEEK_MODEL=deepseek-v4-flash +DEEPSEEK_BASE_URL=https://api.deepseek.com +DATABASE_PATH=./data/skillloom.db +``` + +启动： + +```bash +npm run dev +``` + +访问 `http://localhost:3000`。未配置 `DEEPSEEK_API_KEY` 时也可以完整体验 UI、Skill 创建流程、流式状态、中止和重连。 + +## 数据与流式设计 + +SQLite 默认写入 `data/skillloom.db`，包含： + +- `skills` / `skill_nodes` +- `conversations` / `messages` +- `chat_runs` / `chat_run_events` + +主聊天采用“两步式 Run”： + +1. `POST /api/chat` 幂等创建回答任务。 +2. `GET /api/chat/runs/:id/stream?after=:seq` 订阅 SSE。 + +每个事件先写入 SQLite 并获得单调递增的 `seq`，浏览器断线后携带最后序号重连，因此不会重复拼接 token。显式中止使用独立接口，不会把普通网络断开误判为用户中止。 + +结构化 AI 输出经过四层保护： + +1. DeepSeek JSON Output； +2. Zod `.strict()` 结构校验； +3. 校验失败后自动纠错重试一次； +4. 服务端过滤非法 Skill ID，并强制 Skill 节点顺序。 + +## 验证 + +```bash +npm run lint +npm run build +npm run test:acceptance +``` + +自动验收会使用独立临时 SQLite 和本地演示模型，覆盖： + +- AI 对话按序创建 Skill +- 仅通过 AI 对话编辑 Skill +- 删除 Skill 与列表刷新 +- 聊天选择和实际调用 Skill +- 返回是否调用及具体 Skill +- 中止作为终态 +- 首轮 AI 主题标题、标题编辑与会话重置 +- SSE 断线重连、事件去重和继续生成 + +## 主要目录 + +```text +src/ + app/api/ API 与 SSE 路由 + components/ 聊天、Skill 面板与 Builder UI + lib/db.ts SQLite schema 与数据访问 + lib/deepseek.ts DeepSeek、严格 JSON 与提示词 + lib/chat-runs.ts 可恢复的聊天 Run +scripts/acceptance.mjs 自动验收 +``` diff --git a/components.json b/components.json new file mode 100644 index 0000000..771d288 --- /dev/null +++ b/components.json @@ -0,0 +1,21 @@ +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "new-york", + "rsc": true, + "tsx": true, + "tailwind": { + "config": "", + "css": "src/app/globals.css", + "baseColor": "neutral", + "cssVariables": true, + "prefix": "" + }, + "iconLibrary": "lucide", + "aliases": { + "components": "@/components", + "utils": "@/lib/utils", + "ui": "@/components/ui", + "lib": "@/lib", + "hooks": "@/hooks" + } +} diff --git a/eslint.config.mjs b/eslint.config.mjs new file mode 100644 index 0000000..05e726d --- /dev/null +++ b/eslint.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig, globalIgnores } from "eslint/config"; +import nextVitals from "eslint-config-next/core-web-vitals"; +import nextTs from "eslint-config-next/typescript"; + +const eslintConfig = defineConfig([ + ...nextVitals, + ...nextTs, + // Override default ignores of eslint-config-next. + globalIgnores([ + // Default ignores of eslint-config-next: + ".next/**", + "out/**", + "build/**", + "next-env.d.ts", + ]), +]); + +export default eslintConfig; diff --git a/next.config.ts b/next.config.ts new file mode 100644 index 0000000..e9ffa30 --- /dev/null +++ b/next.config.ts @@ -0,0 +1,7 @@ +import type { NextConfig } from "next"; + +const nextConfig: NextConfig = { + /* config options here */ +}; + +export 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punycode: 2.3.1 + + use-callback-ref@1.3.3(@types/react@19.2.17)(react@19.2.4): + dependencies: + react: 19.2.4 + tslib: 2.8.1 + optionalDependencies: + '@types/react': 19.2.17 + + use-composed-ref@1.4.0(@types/react@19.2.17)(react@19.2.4): + dependencies: + react: 19.2.4 + optionalDependencies: + '@types/react': 19.2.17 + + use-effect-event@2.0.3(react@19.2.4): + dependencies: + react: 19.2.4 + + use-isomorphic-layout-effect@1.2.1(@types/react@19.2.17)(react@19.2.4): + dependencies: + react: 19.2.4 + optionalDependencies: + '@types/react': 19.2.17 + + use-latest@1.3.0(@types/react@19.2.17)(react@19.2.4): + dependencies: + react: 19.2.4 + use-isomorphic-layout-effect: 1.2.1(@types/react@19.2.17)(react@19.2.4) + optionalDependencies: + '@types/react': 19.2.17 + + use-sidecar@1.1.3(@types/react@19.2.17)(react@19.2.4): + dependencies: + detect-node-es: 1.1.0 + react: 19.2.4 + tslib: 2.8.1 + optionalDependencies: + '@types/react': 19.2.17 + + vfile-message@4.0.3: + dependencies: + '@types/unist': 3.0.3 + unist-util-stringify-position: 4.0.0 + + vfile@6.0.3: + dependencies: + '@types/unist': 3.0.3 + vfile-message: 4.0.3 + + which-boxed-primitive@1.1.1: + dependencies: + is-bigint: 1.1.0 + is-boolean-object: 1.2.2 + is-number-object: 1.1.1 + is-string: 1.1.1 + is-symbol: 1.1.1 + + which-builtin-type@1.2.1: + dependencies: + call-bound: 1.0.4 + function.prototype.name: 1.2.0 + has-tostringtag: 1.0.2 + is-async-function: 2.1.1 + is-date-object: 1.1.0 + is-finalizationregistry: 1.1.1 + is-generator-function: 1.1.2 + is-regex: 1.2.1 + is-weakref: 1.1.1 + isarray: 2.0.5 + which-boxed-primitive: 1.1.1 + which-collection: 1.0.2 + which-typed-array: 1.1.22 + + which-collection@1.0.2: + dependencies: + is-map: 2.0.3 + is-set: 2.0.3 + is-weakmap: 2.0.2 + is-weakset: 2.0.4 + + which-typed-array@1.1.22: + dependencies: + available-typed-arrays: 1.0.7 + call-bind: 1.0.9 + call-bound: 1.0.4 + for-each: 0.3.5 + get-proto: 1.0.1 + gopd: 1.2.0 + has-tostringtag: 1.0.2 + + which@2.0.2: + dependencies: + isexe: 2.0.0 + + word-wrap@1.2.5: {} + + yallist@3.1.1: {} + + yocto-queue@0.1.0: {} + + zod-validation-error@4.0.2(zod@4.4.3): + dependencies: + zod: 4.4.3 + + zod@4.4.3: {} + + zustand@5.0.14(@types/react@19.2.17)(react@19.2.4): + optionalDependencies: + '@types/react': 19.2.17 + react: 19.2.4 + + zwitch@2.0.4: {} diff --git a/pnpm-workspace.yaml b/pnpm-workspace.yaml new file mode 100644 index 0000000..6356c05 --- /dev/null +++ b/pnpm-workspace.yaml @@ -0,0 +1,5 @@ +allowBuilds: + sharp: true + unrs-resolver: true +minimumReleaseAgeExclude: + - '@types/node@26.1.2' diff --git a/postcss.config.mjs b/postcss.config.mjs new file mode 100644 index 0000000..61e3684 --- /dev/null +++ b/postcss.config.mjs @@ -0,0 +1,7 @@ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/public/file.svg b/public/file.svg new file mode 100644 index 0000000..004145c --- /dev/null +++ b/public/file.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/globe.svg b/public/globe.svg new file mode 100644 index 0000000..567f17b --- /dev/null +++ b/public/globe.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/next.svg b/public/next.svg new file mode 100644 index 0000000..5174b28 --- /dev/null +++ b/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/vercel.svg b/public/vercel.svg new file mode 100644 index 0000000..7705396 --- /dev/null +++ b/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/window.svg b/public/window.svg new file mode 100644 index 0000000..b2b2a44 --- /dev/null +++ b/public/window.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/scripts/acceptance.mjs b/scripts/acceptance.mjs new file mode 100644 index 0000000..a11b160 --- /dev/null +++ b/scripts/acceptance.mjs @@ -0,0 +1,1051 @@ +import assert from "node:assert/strict"; +import { spawn } from "node:child_process"; +import { mkdirSync, rmSync } from "node:fs"; +import { DatabaseSync } from "node:sqlite"; +import path from "node:path"; +import { fileURLToPath } from "node:url"; +import { + classifyContinuationReply, + detectConversationContinuation, + isActionableSkillContinuation, + isLikelySkillContinuationReply, +} from "../src/lib/skill-continuation.ts"; +import { + findUnsupportedSkillCapabilities, + getSkillCapabilityViolations, +} from "../src/lib/skill-capabilities.ts"; +import { isSuggestionWithinNodeScope } from "../src/lib/skill-recommendation-scope.ts"; +import { + evaluateSkillNodeQuality, + getSkillNodeQualityIssues, +} from "../src/lib/skill-node-quality.ts"; +import { estimateDeepSeekCallUsage } from "../src/lib/model-usage.ts"; + +const root = path.resolve(path.dirname(fileURLToPath(import.meta.url)), ".."); +const port = 3310 + (process.pid % 200); +const baseUrl = `http://127.0.0.1:${port}`; +const tempDir = path.join(root, ".acceptance"); +const databasePath = path.join(tempDir, `skillloom-${process.pid}.db`); +const nextBin = path.join(root, "node_modules", "next", "dist", "bin", "next"); + +mkdirSync(tempDir, { recursive: true }); +const legacyDatabase = new DatabaseSync(databasePath); +legacyDatabase.exec(` + CREATE TABLE conversations ( + id TEXT PRIMARY KEY, + title TEXT NOT NULL, + retained_skill_ids TEXT NOT NULL DEFAULT '[]', + created_at TEXT NOT NULL, + updated_at TEXT NOT NULL + ); + INSERT INTO conversations + (id, title, retained_skill_ids, created_at, updated_at) + VALUES + ('legacy_conversation', '', '["skill_sql_guard"]', + '2026-01-01T00:00:00.000Z', '2026-01-01T00:00:00.000Z'); +`); +legacyDatabase.close(); + +const server = spawn(process.execPath, [nextBin, "start", "-p", String(port)], { + cwd: root, + env: { + ...process.env, + DATABASE_PATH: databasePath, + DEEPSEEK_API_KEY: "", + NEXT_TELEMETRY_DISABLED: "1", + }, + stdio: ["ignore", "pipe", "pipe"], +}); + +let serverLog = ""; +server.stdout.on("data", (chunk) => { + serverLog += chunk.toString(); +}); +server.stderr.on("data", (chunk) => { + serverLog += chunk.toString(); +}); + +async function waitForServer() { + for (let attempt = 0; attempt < 60; attempt += 1) { + try { + const response = await fetch(`${baseUrl}/api/chat`); + if (response.ok) return; + } catch { + // The server has not opened its port yet. + } + await new Promise((resolve) => setTimeout(resolve, 250)); + } + throw new Error(`测试服务未启动：\n${serverLog}`); +} + +async function jsonRequest(url, init) { + const response = await fetch(`${baseUrl}${url}`, init); + const payload = await response.json().catch(() => null); + if (!response.ok) { + throw new Error(`${init?.method ?? "GET"} ${url}: ${JSON.stringify(payload)}`); + } + return payload; +} + +async function readSse(response) { + assert.equal(response.ok, true, `SSE 请求失败：${response.status}`); + assert.ok(response.body, "SSE 响应没有 body"); + const reader = response.body.getReader(); + const decoder = new TextDecoder(); + let buffer = ""; + const events = []; + + while (true) { + const { done, value } = await reader.read(); + if (done) break; + buffer += decoder.decode(value, { stream: true }); + const blocks = buffer.split(/\r?\n\r?\n/); + buffer = blocks.pop() ?? ""; + for (const block of blocks) { + const data = block + .split(/\r?\n/) + .filter((line) => line.startsWith("data:")) + .map((line) => line.slice(5).trim()) + .join("\n"); + if (data) events.push(JSON.parse(data)); + } + } + return events; +} + +async function readFirstSseBatch(response) { + assert.ok(response.body, "SSE 响应没有 body"); + const reader = response.body.getReader(); + const decoder = new TextDecoder(); + const { value } = await reader.read(); + await reader.cancel(); + const text = decoder.decode(value); + return text + .split(/\r?\n\r?\n/) + .map((block) => + block + .split(/\r?\n/) + .filter((line) => line.startsWith("data:")) + .map((line) => line.slice(5).trim()) + .join("\n"), + ) + .filter(Boolean) + .map((data) => JSON.parse(data)); +} + +const definitions = [ + ["trigger", "触发条件", "什么时候应该使用这个 Skill，以及不适用的边界。"], + ["inputs", "输入参数", "执行所需的信息、字段、格式和默认值。"], + ["steps", "执行步骤", "AI 应严格遵循的行动顺序与关键判断。"], + ["output", "输出格式", "最终交付物的结构、字段、语气和示例。"], + ["constraints", "约束与测试", "禁止事项、质量门槛、失败处理和验收用例。"], +]; + +let nodes = definitions.map(([key, title, description]) => ({ + key, + title, + description, + content: "", + ready: false, + completed: false, +})); +let skillName = "未命名 Skill"; +let skillDescription = ""; +let builderMessages = []; + +async function builderTurn(message) { + const clientRequestId = `acceptance_builder_${crypto.randomUUID()}`; + const requestBody = (afterSeq) => + JSON.stringify({ + clientRequestId, + afterSeq, + skillId: null, + message, + skillName, + skillDescription, + nodes, + messages: builderMessages, + }); + const response = await fetch(`${baseUrl}/api/skills/builder`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: requestBody(0), + }); + + let events; + if (builderMessages.length === 0) { + const firstEvents = await readFirstSseBatch(response); + const cursor = Math.max(...firstEvents.map((event) => event.seq ?? 0)); + const resumed = await fetch(`${baseUrl}/api/skills/builder`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: requestBody(cursor), + }); + events = [...firstEvents, ...(await readSse(resumed))]; + const sequences = events.map((event) => event.seq).filter(Boolean); + assert.equal( + new Set(sequences).size, + sequences.length, + "Builder 重连不得重复事件", + ); + } else { + events = await readSse(response); + } + const update = events.find((event) => event.type === "builder_update"); + assert.ok(update, "Builder 必须返回结构化节点更新"); + assert.ok( + Array.isArray(update.evaluation.suggestions) && + update.evaluation.suggestions.length >= 2 && + update.evaluation.suggestions.length <= 4, + "Builder 必须返回 2-4 条结构化 AI 智能建议", + ); + assert.equal( + update.evaluation.suggestionNodeKey, + update.evaluation.activeNode, + "Builder 推荐必须明确归属于当前待完善节点", + ); + assert.equal( + update.evaluation.nodeQuality.length, + 5, + "Builder 必须返回五节点质量判定，便于排查进度原因", + ); + assert.ok( + events.some((event) => event.type === "complete"), + "Builder 必须发出完成事件", + ); + nodes = update.evaluation.nodes; + skillName = update.evaluation.skillName; + skillDescription = update.evaluation.skillDescription; + const reply = events + .filter((event) => event.type === "token") + .map((event) => event.token) + .join(""); + builderMessages.push( + { role: "user", content: message }, + { role: "assistant", content: reply }, + ); + return { evaluation: update.evaluation, reply }; +} + +async function runAcceptance() { + await waitForServer(); + console.log("✓ 测试服务与独立 SQLite 已启动"); + + const migratedChat = await jsonRequest("/api/chat"); + assert.equal(migratedChat.continuation.state, "awaiting_input"); + assert.deepEqual(migratedChat.continuation.skillIds, ["skill_sql_guard"]); + assert.equal(migratedChat.continuation.source, "fallback"); + console.log("✓ 旧版 retained_skill_ids 已兼容迁移为显式续接状态"); + + const pricedUsage = estimateDeepSeekCallUsage({ + model: "deepseek-v4-flash", + promptTokens: 3_000, + promptCacheHitTokens: 1_000, + promptCacheMissTokens: 2_000, + completionTokens: 800, + }); + assert.equal(pricedUsage.totalTokens, 3_800); + assert.equal( + pricedUsage.estimatedCostMicros, + 3_620, + "费用必须分别按缓存命中输入、未命中输入和输出计算", + ); + console.log("✓ Token 用量按模型价格快照计算预计费用"); + + const concreteOffer = + "需要我根据你的实际可用时间调整这份学习计划吗？"; + assert.equal( + isActionableSkillContinuation(concreteOffer), + true, + "带有明确动作和对象的后续提议必须保留 Skill", + ); + assert.equal( + detectConversationContinuation(concreteOffer)?.state, + "offer_pending", + "具体后续提议必须显式记录为等待确认", + ); + assert.equal(classifyContinuationReply("需要"), "accept"); + assert.equal(classifyContinuationReply("每天 1 小时"), "answer"); + assert.equal(classifyContinuationReply("不用了"), "decline"); + assert.equal( + isActionableSkillContinuation("如果需要，我可以继续帮助你。"), + false, + "泛泛的礼貌性邀请不得让 Skill 一直保留", + ); + assert.equal( + isLikelySkillContinuationReply("需要", [ + { role: "assistant", content: concreteOffer }, + ]), + true, + "简短的接受回复必须识别为上一轮的延续", + ); + assert.equal( + isLikelySkillContinuationReply("帮我查一下天气", [ + { role: "assistant", content: concreteOffer }, + ]), + false, + "用户切换到新任务时不得强制沿用旧 Skill", + ); + console.log("✓ 具体后续提议可续接，礼貌邀请与新话题不会粘住 Skill"); + + assert.deepEqual( + findUnsupportedSkillCapabilities( + "自动调用外部 API 获取数据，再运行 Python 脚本生成报告。", + ), + ["运行脚本、代码或命令", "调用外部 API 或第三方服务"], + "必须识别当前工作台无法执行的能力承诺", + ); + assert.deepEqual( + findUnsupportedSkillCapabilities( + "审阅用户提供的 API 文档；不得调用外部 API 或运行本地脚本。", + ), + [], + "允许审阅 API/脚本内容，也允许把禁止调用写入约束", + ); + assert.deepEqual( + findUnsupportedSkillCapabilities( + "指导用户如何调用 API，并要求用户手动运行脚本后粘贴结果。", + ), + [], + "允许提供手动操作指导，只禁止 Skill 声称自行执行", + ); + console.log("✓ Skill 能力边界只拦截执行承诺，不误伤审阅类任务"); + + assert.equal( + isSuggestionWithinNodeScope( + "trigger", + "当用户需要把会议记录整理成行动项时触发", + ), + true, + ); + assert.equal( + isSuggestionWithinNodeScope( + "trigger", + "输出使用 Markdown 表格并包含责任人字段", + ), + false, + "触发条件阶段不得推荐输出格式内容", + ); + assert.equal( + isSuggestionWithinNodeScope( + "output", + "新增一个资源推荐模块并给出部署方案", + ), + false, + "不得推荐五个节点以外的额外模块或部署方案", + ); + console.log("✓ 推荐内容严格归属于当前五节点之一"); + + assert.equal( + evaluateSkillNodeQuality("steps", "分析内容并生成结果").complete, + false, + "没有明确顺序和多个动作的执行步骤不得完成", + ); + assert.equal( + evaluateSkillNodeQuality( + "steps", + "先检查输入，再提取关键信息，然后生成结果并复核。", + ).complete, + true, + "满足确定性标准的执行步骤应当完成", + ); + console.log("✓ 节点完成度由确定性质量标准复核"); + + const initialSuggestions = await jsonRequest( + "/api/skills/builder/suggestions", + { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + skillName, + skillDescription, + nodes, + }), + }, + ); + assert.equal( + initialSuggestions.source, + "demo", + "无 AI 配置时必须明确标记为演示建议", + ); + assert.equal( + initialSuggestions.nodeKey, + "trigger", + "推荐结果必须明确声明所属节点", + ); + assert.ok( + initialSuggestions.suggestions.length >= 2 && + initialSuggestions.suggestions.length <= 4, + "节点进入时必须返回 2-4 条可直接发送的建议", + ); + assert.equal( + initialSuggestions.suggestions.some( + (suggestion) => + findUnsupportedSkillCapabilities(suggestion).length > 0 || + !isSuggestionWithinNodeScope("trigger", suggestion), + ), + false, + "节点推荐不得越出当前节点或包含不支持的能力", + ); + console.log("✓ 节点进入建议有明确来源和严格结构"); + + const guidanceTurn = await builderTurn("有哪些典型任务"); + assert.equal( + guidanceTurn.evaluation.intent, + "request_guidance", + "向 AI 索要示例时必须识别为求助意图", + ); + assert.equal( + guidanceTurn.evaluation.updatedNodeKeys.length, + 0, + "求助问题不得写入任何 Skill 节点", + ); + assert.equal( + nodes.filter((node) => node.completed).length, + 0, + "求助问题不得完成当前节点", + ); + assert.match( + guidanceTurn.reply, + /例如|比如|常见/, + "AI 应先提供示例或解释，再继续追问", + ); + console.log("✓ 求助/索要示例不会写入或完成 Skill 节点"); + + const unsupportedTurn = await builderTurn( + "执行步骤：调用外部 API 获取实时数据，再运行 Python 脚本生成报告。", + ); + assert.equal( + unsupportedTurn.evaluation.intent, + "request_guidance", + "超出工作台能力边界的要求必须转为引导", + ); + assert.deepEqual( + unsupportedTurn.evaluation.updatedNodeKeys, + [], + "脚本执行和外部 API 调用不得写入 Skill 节点", + ); + assert.match( + unsupportedTurn.reply, + /不支持|用户.*提供|手动/, + "必须解释限制并提供对话内可执行的替代方案", + ); + console.log("✓ Builder 拒绝脚本/API 执行能力并给出可行替代"); + + const incompleteTurn = await builderTurn("做一套清单"); + assert.equal( + nodes.filter((node) => node.completed).length, + 0, + "信息不足时节点不能提前完成", + ); + assert.match(incompleteTurn.reply, /[？?]/, "信息不足时 AI 必须继续追问"); + + const multiNodeTurn = await builderTurn( + [ + "触发条件：当用户需要把产品需求整理成验收清单时触发，不处理闲聊。", + "输入参数：必填产品需求和目标用户，可选优先级、平台与发布日期。", + "执行步骤：先拆目标，再识别用户路径，然后生成正常、异常和边界场景。", + "约束与测试：不得臆测未给出的业务规则，每条必须可独立执行并包含反例。", + ].join("；"), + ); + assert.deepEqual( + multiNodeTurn.evaluation.updatedNodeKeys, + ["trigger", "inputs", "steps", "constraints"], + "一条连贯消息涵盖多个节点时，AI 必须一次归类全部内容", + ); + assert.equal( + nodes.filter((node) => node.completed).length, + 3, + "第 4 节点缺失时，只能连续完成第 1-3 节点", + ); + assert.equal( + nodes.find((node) => node.key === "constraints")?.ready, + true, + "第 5 节点的合格内容必须保留为待解锁", + ); + assert.equal( + nodes.find((node) => node.key === "constraints")?.completed, + false, + "存在第 4 节点缺口时不得跳到第 5 节点", + ); + + const filledGap = await builderTurn( + "输出格式：输出 Markdown 表格，字段为编号、前置条件、操作、预期结果。", + ); + assert.deepEqual( + filledGap.evaluation.updatedNodeKeys, + ["output"], + "补充缺口时 AI 应更新第 4 节点", + ); + assert.equal( + nodes.filter((node) => node.completed).length, + 5, + "第 4 节点补齐后，已准备好的第 5 节点必须自动完成", + ); + assert.doesNotMatch( + filledGap.reply, + /约束与测试[^。]*[？?]/, + "全部节点自动完成后不得继续追问已经解锁的节点", + ); + console.log("✓ 一轮可完成多个连续节点，缺口补齐后自动解锁后续节点"); + + assert.deepEqual( + getSkillNodeQualityIssues(nodes), + [], + "全部完成的五个节点必须通过发布质量标准", + ); + const lowQualityNodes = nodes.map((node) => + node.key === "steps" + ? { ...node, content: "分析内容并生成结果", completed: true } + : node, + ); + const lowQualitySaveResponse = await fetch(`${baseUrl}/api/skills`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + name: `${skillName}质量测试`, + description: skillDescription, + nodes: lowQualityNodes, + status: "active", + }), + }); + assert.equal( + lowQualitySaveResponse.status, + 409, + "即使前端标记 completed，低质量节点也不得发布", + ); + assert.match( + (await lowQualitySaveResponse.json()).error, + /尚未达到可发布标准|明确顺序/, + ); + console.log("✓ 保存接口独立复核五节点质量"); + + const duplicateNodeResponse = await fetch(`${baseUrl}/api/skills`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + name: `${skillName}重复节点测试`, + description: skillDescription, + nodes: nodes.map((node) => ({ ...node, key: "trigger" })), + status: "active", + }), + }); + assert.equal( + duplicateNodeResponse.status, + 400, + "五个重复节点不得绕过固定流程校验", + ); + assert.match( + JSON.stringify(await duplicateNodeResponse.json()), + /必须且只能包含/, + ); + console.log("✓ 保存接口强制五种节点各一个"); + + const unsupportedNodes = nodes.map((node) => + node.key === "steps" + ? { + ...node, + content: "调用外部 API 获取实时数据，再运行 Python 脚本生成报告。", + } + : node, + ); + assert.ok( + getSkillCapabilityViolations({ + name: skillName, + description: skillDescription, + nodes: unsupportedNodes, + }).length >= 2, + "保存前能力校验必须定位违规节点", + ); + const unsupportedSaveResponse = await fetch(`${baseUrl}/api/skills`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + name: `${skillName}越界测试`, + description: skillDescription, + nodes: unsupportedNodes, + status: "active", + }), + }); + const unsupportedSavePayload = await unsupportedSaveResponse.json(); + assert.equal( + unsupportedSaveResponse.status, + 409, + "绕过 Builder 直接保存越界 Skill 时也必须拒绝", + ); + assert.match(unsupportedSavePayload.error, /不支持.*脚本.*API/); + console.log("✓ 保存接口拒绝包含脚本/API 执行承诺的 Skill"); + + const created = await jsonRequest("/api/skills", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + name: skillName, + description: skillDescription, + nodes, + status: "active", + }), + }); + const skillId = created.skill.id; + assert.ok(skillId, "必须自动创建 Skill"); + console.log("✓ 自动创建 Skill"); + + const editedTurn = await builderTurn( + "补充规则：当需求只有一句话时，先追问目标用户再生成清单。", + ); + assert.ok( + editedTurn.evaluation.updatedNodeKeys.includes("trigger"), + "编辑时也必须由 AI 自动判断目标节点", + ); + await jsonRequest(`/api/skills/${skillId}`, { + method: "PUT", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + name: skillName, + description: skillDescription, + nodes, + status: "active", + }), + }); + const edited = await jsonRequest(`/api/skills/${skillId}`); + assert.match(edited.skill.nodes[0].content, /目标用户/); + console.log("✓ 只能通过 Builder 对话并由 AI 自动归类编辑 Skill 内容"); + + const chat = await jsonRequest("/api/chat"); + assert.equal(chat.conversation.title, "", "新会话默认标题必须为空"); + + const firstChatClientRequestId = `acceptance_${crypto.randomUUID()}`; + const firstChatRequestBody = { + conversationId: chat.conversation.id, + message: "产品需求 验收清单 输入参数 输出格式，请帮我整理。", + selectedSkillIds: [skillId], + clientRequestId: firstChatClientRequestId, + }; + const runPayload = await jsonRequest("/api/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(firstChatRequestBody), + }); + const runId = runPayload.run.id; + + const firstResponse = await fetch( + `${baseUrl}/api/chat/runs/${runId}/stream?after=0`, + ); + const firstEvents = await readFirstSseBatch(firstResponse); + const cursor = Math.max(...firstEvents.map((event) => event.seq ?? 0)); + assert.ok(cursor > 0, "断连前必须拿到可恢复序号"); + + await new Promise((resolve) => setTimeout(resolve, 180)); + const resumedResponse = await fetch( + `${baseUrl}/api/chat/runs/${runId}/stream?after=${cursor}`, + ); + const resumedEvents = await readSse(resumedResponse); + const allEvents = [...firstEvents, ...resumedEvents]; + const sequences = allEvents.map((event) => event.seq).filter(Boolean); + assert.equal(new Set(sequences).size, sequences.length, "重连不得重复事件"); + const usage = allEvents.find((event) => event.type === "skill_usage"); + assert.deepEqual(usage?.skillIds, [skillId], "必须反馈实际用到的 Skill"); + assert.equal(usage?.source, "keyword_fallback"); + assert.ok(usage?.reason, "Skill 使用事件必须记录判断来源和原因"); + const usageSummary = allEvents + .filter((event) => event.type === "usage") + .at(-1)?.usage; + assert.equal( + usageSummary?.status, + "demo", + "本地演示回答必须明确标记为零费用演示用量", + ); + assert.equal(usageSummary?.totalTokens, 0); + assert.equal(usageSummary?.estimatedCostMicros, 0); + assert.ok( + usageSummary?.durationMs >= 0, + "每轮回答必须记录端到端用时", + ); + const completedRetention = allEvents.find( + (event) => event.type === "skill_retention", + ); + assert.equal( + completedRetention?.state, + "complete", + "任务已交付完成时必须清空 Skill", + ); + assert.deepEqual(completedRetention?.skillIds, []); + assert.ok( + allEvents.some((event) => event.type === "complete"), + "聊天必须完成", + ); + assert.ok( + allEvents.some( + (event) => event.type === "conversation_title" && event.title, + ), + "第一轮结束后必须自动生成标题", + ); + const generatedTitle = allEvents.find( + (event) => event.type === "conversation_title", + )?.title; + assert.equal( + generatedTitle, + "产品需求与验收梳理", + "标题必须提炼主题，不能直接截断用户原句", + ); + assert.ok(generatedTitle.length <= 18, "自动标题不得超过 18 个字符"); + const chatAfterMeasuredRun = await jsonRequest("/api/chat"); + const persistedUsage = chatAfterMeasuredRun.messages.find( + (message) => message.id === runPayload.run.assistantMessageId, + )?.usage; + assert.equal( + persistedUsage?.status, + "demo", + "刷新后必须恢复回答的 Token 与费用摘要", + ); + assert.equal( + persistedUsage?.durationMs, + usageSummary.durationMs, + "刷新后必须恢复本轮用时", + ); + const messagesBeforeIdempotentRetry = + chatAfterMeasuredRun.messages.length; + const idempotentRetry = await jsonRequest("/api/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(firstChatRequestBody), + }); + assert.equal( + idempotentRetry.run.id, + runPayload.run.id, + "相同 clientRequestId 重试必须返回原 Run", + ); + assert.equal( + (await jsonRequest("/api/chat")).messages.length, + messagesBeforeIdempotentRetry, + "幂等重试不得重复写入消息", + ); + console.log("✓ Skill 选择、实际调用反馈与 SSE 断线续传"); + + const unusedSkillPayload = await jsonRequest("/api/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + conversationId: chat.conversation.id, + message: "请写一句关于春天的问候。", + selectedSkillIds: [skillId], + clientRequestId: `acceptance_unused_skill_${crypto.randomUUID()}`, + }), + }); + const unusedSkillEvents = await readSse( + await fetch( + `${baseUrl}/api/chat/runs/${unusedSkillPayload.run.id}/stream?after=0`, + ), + ); + const unusedSkillUsage = unusedSkillEvents.find( + (event) => event.type === "skill_usage", + ); + assert.deepEqual( + unusedSkillUsage?.skillIds, + [], + "不相关任务不得调用已选择的 Skill", + ); + const unusedSkillStatuses = unusedSkillEvents + .filter((event) => event.type === "status") + .map((event) => event.label); + assert.ok( + unusedSkillStatuses.includes("正在思考"), + "未调用 Skill 时应使用普通思考状态", + ); + assert.equal( + unusedSkillStatuses.some((label) => /无需调用|未使用 Skill/.test(label)), + false, + "未调用 Skill 时不得展示内部路由结论", + ); + console.log("✓ 未调用 Skill 时只展示普通思考状态"); + + const staleUserMessageId = `stale_user_${crypto.randomUUID()}`; + const staleAssistantMessageId = `stale_assistant_${crypto.randomUUID()}`; + const staleRunId = `stale_run_${crypto.randomUUID()}`; + const staleDatabase = new DatabaseSync(databasePath); + staleDatabase.exec("PRAGMA busy_timeout = 5000;"); + const insertSyntheticMessage = staleDatabase.prepare(` + INSERT INTO messages + (id, conversation_id, role, content, selected_skill_ids, + used_skill_ids, status, error_message, usage_json, created_at) + VALUES (?, ?, ?, ?, '[]', '[]', ?, '', '', ?) + `); + insertSyntheticMessage.run( + staleUserMessageId, + chat.conversation.id, + "user", + "模拟服务重启前的用户消息", + "complete", + "2026-01-01T00:00:00.000Z", + ); + insertSyntheticMessage.run( + staleAssistantMessageId, + chat.conversation.id, + "assistant", + "", + "streaming", + "2026-01-01T00:00:00.001Z", + ); + staleDatabase + .prepare( + `INSERT INTO chat_runs + (id, client_request_id, conversation_id, user_message_id, + assistant_message_id, status, cancel_requested, created_at, updated_at) + VALUES (?, ?, ?, ?, ?, 'running', 0, ?, ?)`, + ) + .run( + staleRunId, + `stale_client_${crypto.randomUUID()}`, + chat.conversation.id, + staleUserMessageId, + staleAssistantMessageId, + "2026-01-01T00:00:00.000Z", + "2026-01-01T00:00:00.000Z", + ); + staleDatabase.close(); + const staleRunEvents = await readSse( + await fetch(`${baseUrl}/api/chat/runs/${staleRunId}/stream?after=0`), + ); + assert.ok( + staleRunEvents.some( + (event) => + event.type === "error" && /服务重启|超时/.test(event.message), + ), + "孤儿 Run 必须自动进入错误终态并关闭 SSE", + ); + const chatAfterStaleRun = await jsonRequest("/api/chat"); + assert.equal( + chatAfterStaleRun.messages.find( + (message) => message.id === staleAssistantMessageId, + )?.status, + "error", + "孤儿 Run 对应的助手消息必须标记失败", + ); + assert.equal(chatAfterStaleRun.continuation.state, "complete"); + console.log("✓ 服务重启或超时遗留的孤儿 Run 会自动回收"); + + const seededSkills = await jsonRequest("/api/skills"); + const sqlReviewSkill = seededSkills.skills.find( + (skill) => skill.name === "SQL 安全审阅", + ); + assert.ok(sqlReviewSkill, "预置的 SQL 安全审阅 Skill 必须存在"); + const explainSkillPayload = await jsonRequest("/api/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + conversationId: chat.conversation.id, + message: "这个 Skill 是干嘛的？", + selectedSkillIds: [sqlReviewSkill.id], + clientRequestId: `acceptance_explain_skill_${crypto.randomUUID()}`, + }), + }); + const explainSkillEvents = await readSse( + await fetch( + `${baseUrl}/api/chat/runs/${explainSkillPayload.run.id}/stream?after=0`, + ), + ); + const explainSkillUsage = explainSkillEvents.find( + (event) => event.type === "skill_usage", + ); + const explainSkillContent = explainSkillEvents + .filter((event) => event.type === "token") + .map((event) => event.token) + .join(""); + assert.deepEqual( + explainSkillUsage?.skillIds, + [sqlReviewSkill.id], + "询问已选 Skill 的用途时必须使用该 Skill 的真实资料", + ); + assert.match(explainSkillContent, /检查 SQL 的正确性、性能风险与数据安全边界/); + assert.match(explainSkillContent, /当用户提供 SQL、查询计划或数据库变更/); + assert.match(explainSkillContent, /任何 DELETE、UPDATE、DDL 建议必须附回滚方案/); + assert.doesNotMatch( + explainSkillContent, + /报错弹窗|缺少 DLL|代理配置错误/, + "Skill 介绍不得串用其他 Skill 的内容", + ); + console.log("✓ 询问 Skill 用途时严格返回已选 Skill 的真实定义"); + + const followUpPayload = await jsonRequest("/api/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + conversationId: chat.conversation.id, + message: + "产品需求 验收清单：我还没提供具体内容，请先询问我需要补充的信息。", + selectedSkillIds: [skillId], + clientRequestId: `acceptance_follow_up_${crypto.randomUUID()}`, + }), + }); + const followUpEvents = await readSse( + await fetch( + `${baseUrl}/api/chat/runs/${followUpPayload.run.id}/stream?after=0`, + ), + ); + const followUpRetention = followUpEvents.find( + (event) => event.type === "skill_retention", + ); + assert.equal( + followUpRetention?.state, + "awaiting_input", + "AI 要求用户补充必要信息时，任务必须保持继续状态", + ); + assert.deepEqual( + followUpRetention?.skillIds, + [skillId], + "未完成的多轮任务必须保留实际使用的 Skill", + ); + const chatWithRetainedSkill = await jsonRequest("/api/chat"); + assert.deepEqual( + chatWithRetainedSkill.retainedSkillIds, + [skillId], + "刷新页面后仍必须恢复待继续任务的 Skill", + ); + assert.equal( + chatWithRetainedSkill.continuation.state, + "awaiting_input", + "刷新后必须恢复显式续接状态", + ); + assert.ok( + chatWithRetainedSkill.continuation.expectedInput, + "续接状态必须记录下一轮期待用户补充的内容", + ); + assert.equal( + chatWithRetainedSkill.continuation.source, + "deterministic", + "明确追问应由确定性规则识别，不依赖 AI 猜测", + ); + console.log("✓ AI 追问时跨轮保留 Skill，并持久化到 SQLite"); + + const continuedPayload = await jsonRequest("/api/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + conversationId: chat.conversation.id, + message: "需要", + selectedSkillIds: [skillId], + clientRequestId: `acceptance_continued_skill_${crypto.randomUUID()}`, + }), + }); + const continuedEvents = await readSse( + await fetch( + `${baseUrl}/api/chat/runs/${continuedPayload.run.id}/stream?after=0`, + ), + ); + const continuedUsage = continuedEvents.find( + (event) => event.type === "skill_usage", + ); + assert.deepEqual( + continuedUsage?.skillIds, + [skillId], + "用户用“需要”等短回复接受上一轮提议时必须继续使用保留的 Skill", + ); + assert.equal( + continuedUsage?.source, + "continuation", + "省略回复必须通过显式续接状态恢复 Skill", + ); + console.log("✓ “需要”等省略回复会继续使用上一轮保留的 Skill"); + + const stopPayload = await jsonRequest("/api/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + conversationId: chat.conversation.id, + message: "请生成一份很长的补充清单。", + selectedSkillIds: [], + clientRequestId: `acceptance_stop_${crypto.randomUUID()}`, + }), + }); + const conflictResponse = await fetch(`${baseUrl}/api/chat`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + conversationId: chat.conversation.id, + message: "这条并发冲突消息不应写入数据库。", + selectedSkillIds: [], + clientRequestId: `acceptance_conflict_${crypto.randomUUID()}`, + }), + }); + assert.equal( + conflictResponse.status, + 409, + "同一会话同时只能创建一个活动 Run", + ); + const visibleStoppedContent = "客户端点击中止时已经显示的内容"; + await jsonRequest(`/api/chat/runs/${stopPayload.run.id}/stop`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ visibleContent: visibleStoppedContent }), + }); + const stoppedEvents = await readSse( + await fetch( + `${baseUrl}/api/chat/runs/${stopPayload.run.id}/stream?after=0`, + ), + ); + assert.ok( + stoppedEvents.some((event) => event.type === "aborted"), + "中止必须作为终态被记录", + ); + const chatAfterStop = await jsonRequest("/api/chat"); + const stoppedMessage = chatAfterStop.messages.find( + (message) => message.id === stopPayload.run.assistantMessageId, + ); + assert.equal(stoppedMessage?.status, "stopped"); + assert.equal( + stoppedMessage?.content, + visibleStoppedContent, + "中止后只保留用户点击时已经看到的内容", + ); + assert.ok( + stoppedMessage?.usage?.durationMs >= 0, + "中止回答也必须记录端到端用时", + ); + assert.equal( + chatAfterStop.messages.some( + (message) => message.content === "这条并发冲突消息不应写入数据库。", + ), + false, + "并发冲突事务不得留下孤立消息", + ); + console.log("✓ 中止被视为一轮完成"); + + const renamed = await jsonRequest("/api/conversation", { + method: "PATCH", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ title: "验收测试会话" }), + }); + assert.equal(renamed.conversation.title, "验收测试会话"); + const reset = await jsonRequest("/api/conversation", { method: "DELETE" }); + assert.equal(reset.conversation.title, ""); + const resetChat = await jsonRequest("/api/chat"); + assert.equal(resetChat.messages.length, 0); + assert.equal(resetChat.continuation.state, "complete"); + assert.deepEqual(resetChat.continuation.skillIds, []); + console.log("✓ 标题编辑与会话重置"); + + await fetch(`${baseUrl}/api/skills/${skillId}`, { method: "DELETE" }).then( + (response) => assert.equal(response.status, 204), + ); + const skillsAfterDelete = await jsonRequest("/api/skills"); + assert.equal( + skillsAfterDelete.skills.some((skill) => skill.id === skillId), + false, + ); + console.log("✓ 删除 Skill 并刷新列表"); +} + +try { + await runAcceptance(); + console.log("\n验收通过：创建、编辑、删除、选择、调用反馈、中止、标题与重连均正常。"); +} finally { + server.kill("SIGTERM"); + await new Promise((resolve) => { + const timeout = setTimeout(resolve, 2_000); + server.once("exit", () => { + clearTimeout(timeout); + resolve(); + }); + }); + rmSync(tempDir, { recursive: true, force: true }); +} diff --git a/src/app/api/chat/route.ts b/src/app/api/chat/route.ts new file mode 100644 index 0000000..4b2b881 --- /dev/null +++ b/src/app/api/chat/route.ts @@ -0,0 +1,120 @@ +import { apiError } from "@/lib/api"; +import { startChatRun } from "@/lib/chat-runs"; +import { + createChatRunWithMessages, + getActiveChatRun, + getConversation, + getConversationContinuation, + getDefaultConversation, + getSkill, + listMessages, +} from "@/lib/db"; +import { hasDeepSeekApiKey } from "@/lib/deepseek"; +import type { ChatMessage, Skill } from "@/lib/types"; +import { createId } from "@/lib/utils"; +import { chatRequestSchema } from "@/lib/validation"; + +export const runtime = "nodejs"; +export const maxDuration = 120; + +export async function GET() { + try { + const conversation = getDefaultConversation(); + const continuation = getConversationContinuation(conversation.id); + return Response.json({ + conversation, + messages: listMessages(conversation.id), + activeRun: getActiveChatRun(conversation.id), + retainedSkillIds: continuation.skillIds, + continuation, + apiConfigured: hasDeepSeekApiKey(), + }); + } catch (error) { + return apiError(error, "无法读取聊天记录"); + } +} + +export async function POST(request: Request) { + try { + const input = chatRequestSchema.parse(await request.json()); + if (!getConversation(input.conversationId)) { + return Response.json({ error: "会话不存在" }, { status: 404 }); + } + const existingMessages = listMessages(input.conversationId); + const continuation = getConversationContinuation( + input.conversationId, + ); + const selectedSkills = [...new Set(input.selectedSkillIds)] + .map((id) => getSkill(id)) + .filter( + (skill): skill is Skill => skill?.status === "active", + ); + + const userMessageId = createId("message"); + const assistantMessageId = createId("message"); + const runId = createId("run"); + const now = new Date().toISOString(); + + const creation = createChatRunWithMessages({ + conversationId: input.conversationId, + userMessage: { + id: userMessageId, + role: "user", + content: input.message, + selectedSkillIds: selectedSkills.map((skill) => skill.id), + usedSkillIds: [], + status: "complete", + createdAt: now, + }, + assistantMessage: { + id: assistantMessageId, + role: "assistant", + content: "", + selectedSkillIds: selectedSkills.map((skill) => skill.id), + usedSkillIds: [], + status: "streaming", + createdAt: new Date(Date.now() + 1).toISOString(), + }, + run: { + id: runId, + clientRequestId: input.clientRequestId, + userMessageId, + assistantMessageId, + }, + }); + if (creation.outcome === "existing") { + return Response.json({ run: creation.run }); + } + if (creation.outcome === "active_conflict") { + return Response.json( + { error: "当前已有一轮回答正在进行", run: creation.run }, + { status: 409 }, + ); + } + const run = creation.run; + + const history = existingMessages + .filter((message) => message.status !== "error") + .slice(-20) + .map((message) => ({ + role: message.role, + content: message.content, + })) satisfies Array<{ + role: ChatMessage["role"]; + content: string; + }>; + + startChatRun({ + runId, + conversationId: input.conversationId, + userMessage: input.message, + selectedSkills, + continuation, + history, + }); + + return Response.json({ run }, { status: 202 }); + } catch (error) { + return apiError(error, "无法发送消息"); + } +} diff --git a/src/app/api/chat/runs/[id]/stop/route.ts b/src/app/api/chat/runs/[id]/stop/route.ts new file mode 100644 index 0000000..13b55bf --- /dev/null +++ b/src/app/api/chat/runs/[id]/stop/route.ts @@ -0,0 +1,22 @@ +import { stopChatRun } from "@/lib/chat-runs"; + +export const runtime = "nodejs"; + +export async function POST( + request: Request, + context: RouteContext<"/api/chat/runs/[id]/stop">, +) { + const { id } = await context.params; + const payload = (await request.json().catch(() => null)) as { + visibleContent?: unknown; + } | null; + const visibleContent = + typeof payload?.visibleContent === "string" + ? payload.visibleContent.slice(0, 200_000) + : undefined; + const result = await stopChatRun(id, { visibleContent }); + if (!result.found) { + return Response.json({ error: "回答任务不存在" }, { status: 404 }); + } + return Response.json(result); +} diff --git a/src/app/api/chat/runs/[id]/stream/route.ts b/src/app/api/chat/runs/[id]/stream/route.ts new file mode 100644 index 0000000..e735742 --- /dev/null +++ b/src/app/api/chat/runs/[id]/stream/route.ts @@ -0,0 +1,51 @@ +import { getChatRun, listChatRunEvents } from "@/lib/db"; +import { encodeSse, sseResponse } from "@/lib/sse"; + +export const runtime = "nodejs"; +export const maxDuration = 120; + +const terminalStatuses = new Set(["complete", "stopped", "error"]); + +export async function GET( + request: Request, + context: RouteContext<"/api/chat/runs/[id]/stream">, +) { + const { id } = await context.params; + if (!getChatRun(id)) { + return Response.json({ error: "回答任务不存在" }, { status: 404 }); + } + + const url = new URL(request.url); + let cursor = Math.max(0, Number(url.searchParams.get("after") ?? "0") || 0); + + const stream = new ReadableStream({ + async start(controller) { + try { + while (!request.signal.aborted) { + const events = listChatRunEvents(id, cursor); + for (const event of events) { + controller.enqueue(encodeSse(event)); + cursor = Math.max(cursor, event.seq ?? cursor); + } + + const run = getChatRun(id); + if (!run || terminalStatuses.has(run.status)) { + controller.close(); + return; + } + + await new Promise((resolve) => setTimeout(resolve, 140)); + } + } catch { + try { + controller.close(); + } catch { + // The browser disconnected between polling cycles. + } + } + }, + }); + + return sseResponse(stream); +} + diff --git a/src/app/api/conversation/route.ts b/src/app/api/conversation/route.ts new file mode 100644 index 0000000..91b78b6 --- /dev/null +++ b/src/app/api/conversation/route.ts @@ -0,0 +1,32 @@ +import { apiError } from "@/lib/api"; +import { + getDefaultConversation, + renameConversation, + resetConversation, +} from "@/lib/db"; +import { renameConversationSchema } from "@/lib/validation"; + +export const runtime = "nodejs"; + +export async function PATCH(request: Request) { + try { + const input = renameConversationSchema.parse(await request.json()); + const conversation = getDefaultConversation(); + const updated = renameConversation(conversation.id, input.title); + return Response.json({ conversation: updated }); + } catch (error) { + return apiError(error, "无法修改会话标题"); + } +} + +export async function DELETE() { + try { + const conversation = getDefaultConversation(); + return Response.json({ + conversation: resetConversation(conversation.id), + }); + } catch (error) { + return apiError(error, "无法重置会话"); + } +} + diff --git a/src/app/api/skills/[id]/route.ts b/src/app/api/skills/[id]/route.ts new file mode 100644 index 0000000..5b1bfa6 --- /dev/null +++ b/src/app/api/skills/[id]/route.ts @@ -0,0 +1,96 @@ +import { apiError } from "@/lib/api"; +import { deleteSkill, getSkill, saveSkill } from "@/lib/db"; +import { + getSkillCapabilityViolations, + skillCapabilityErrorMessage, +} from "@/lib/skill-capabilities"; +import { + getSkillNodeQualityIssues, + skillNodeQualityErrorMessage, +} from "@/lib/skill-node-quality"; +import { saveSkillSchema } from "@/lib/validation"; + +export const runtime = "nodejs"; + +export async function GET( + _request: Request, + context: RouteContext<"/api/skills/[id]">, +) { + try { + const { id } = await context.params; + const skill = getSkill(id); + + if (!skill) { + return Response.json({ error: "Skill 不存在" }, { status: 404 }); + } + + return Response.json({ skill }); + } catch (error) { + return apiError(error, "无法读取 Skill"); + } +} + +export async function PUT( + request: Request, + context: RouteContext<"/api/skills/[id]">, +) { + try { + const { id } = await context.params; + if (!getSkill(id)) { + return Response.json({ error: "Skill 不存在" }, { status: 404 }); + } + + const input = saveSkillSchema.parse({ + ...(await request.json()), + id, + }); + const capabilityViolations = getSkillCapabilityViolations(input); + if (capabilityViolations.length > 0) { + return Response.json( + { error: skillCapabilityErrorMessage(capabilityViolations) }, + { status: 409 }, + ); + } + + if ( + (input.status ?? "active") === "active" && + input.nodes.some((node) => !node.completed) + ) { + return Response.json( + { error: "五个节点全部完成后才能保存 Skill" }, + { status: 409 }, + ); + } + if ((input.status ?? "active") === "active") { + const qualityIssues = getSkillNodeQualityIssues(input.nodes); + if (qualityIssues.length > 0) { + return Response.json( + { error: skillNodeQualityErrorMessage(qualityIssues) }, + { status: 409 }, + ); + } + } + + return Response.json({ skill: saveSkill(input) }); + } catch (error) { + return apiError(error, "无法更新 Skill"); + } +} + +export async function DELETE( + _request: Request, + context: RouteContext<"/api/skills/[id]">, +) { + try { + const { id } = await context.params; + const deleted = deleteSkill(id); + + if (!deleted) { + return Response.json({ error: "Skill 不存在" }, { status: 404 }); + } + + return new Response(null, { status: 204 }); + } catch (error) { + return apiError(error, "无法删除 Skill"); + } +} diff --git a/src/app/api/skills/builder/[id]/stop/route.ts b/src/app/api/skills/builder/[id]/stop/route.ts new file mode 100644 index 0000000..294ffd1 --- /dev/null +++ b/src/app/api/skills/builder/[id]/stop/route.ts @@ -0,0 +1,15 @@ +import { stopBuilderRun } from "@/lib/builder-runs"; + +export const runtime = "nodejs"; + +export async function POST( + _request: Request, + context: RouteContext<"/api/skills/builder/[id]/stop">, +) { + const { id } = await context.params; + if (!stopBuilderRun(id)) { + return Response.json({ error: "节点任务不存在或已过期" }, { status: 404 }); + } + return Response.json({ stopped: true }); +} + diff --git a/src/app/api/skills/builder/route.ts b/src/app/api/skills/builder/route.ts new file mode 100644 index 0000000..7fb9ad2 --- /dev/null +++ b/src/app/api/skills/builder/route.ts @@ -0,0 +1,60 @@ +import { apiError } from "@/lib/api"; +import { + getBuilderRunEvents, + getOrStartBuilderRun, +} from "@/lib/builder-runs"; +import { encodeSse, sseResponse } from "@/lib/sse"; +import { builderRequestSchema } from "@/lib/validation"; + +export const runtime = "nodejs"; +export const maxDuration = 120; + +const terminalStatuses = new Set(["complete", "stopped", "error"]); + +export async function POST(request: Request) { + try { + const input = builderRequestSchema.parse(await request.json()); + const run = getOrStartBuilderRun(input); + let cursor = input.afterSeq; + + const stream = new ReadableStream({ + async start(controller) { + try { + while (!request.signal.aborted) { + const snapshot = getBuilderRunEvents(run.id, cursor); + if (!snapshot) { + controller.enqueue( + encodeSse({ type: "error", message: "节点任务已过期" }), + ); + controller.close(); + return; + } + + for (const event of snapshot.events) { + controller.enqueue(encodeSse(event)); + cursor = Math.max(cursor, event.seq ?? cursor); + } + + if (terminalStatuses.has(snapshot.status)) { + controller.close(); + return; + } + + await new Promise((resolve) => setTimeout(resolve, 100)); + } + } catch { + try { + controller.close(); + } catch { + // A disconnected editor can reconnect with the last event seq. + } + } + }, + }); + + return sseResponse(stream); + } catch (error) { + return apiError(error, "无法处理 Skill 对话"); + } +} + diff --git a/src/app/api/skills/builder/suggestions/route.ts b/src/app/api/skills/builder/suggestions/route.ts new file mode 100644 index 0000000..bef3c24 --- /dev/null +++ b/src/app/api/skills/builder/suggestions/route.ts @@ -0,0 +1,15 @@ +import { apiError } from "@/lib/api"; +import { generateBuilderSuggestions } from "@/lib/deepseek"; +import { builderSuggestionsRequestSchema } from "@/lib/validation"; + +export const runtime = "nodejs"; +export const maxDuration = 30; + +export async function POST(request: Request) { + try { + const input = builderSuggestionsRequestSchema.parse(await request.json()); + return Response.json(await generateBuilderSuggestions(input)); + } catch (error) { + return apiError(error, "无法生成节点建议"); + } +} diff --git a/src/app/api/skills/route.ts b/src/app/api/skills/route.ts new file mode 100644 index 0000000..65b1b32 --- /dev/null +++ b/src/app/api/skills/route.ts @@ -0,0 +1,58 @@ +import { apiError } from "@/lib/api"; +import { listSkills, saveSkill } from "@/lib/db"; +import { + getSkillCapabilityViolations, + skillCapabilityErrorMessage, +} from "@/lib/skill-capabilities"; +import { + getSkillNodeQualityIssues, + skillNodeQualityErrorMessage, +} from "@/lib/skill-node-quality"; +import { saveSkillSchema } from "@/lib/validation"; + +export const runtime = "nodejs"; + +export async function GET() { + try { + return Response.json({ skills: listSkills() }); + } catch (error) { + return apiError(error, "无法读取 Skill"); + } +} + +export async function POST(request: Request) { + try { + const input = saveSkillSchema.parse(await request.json()); + const capabilityViolations = getSkillCapabilityViolations(input); + if (capabilityViolations.length > 0) { + return Response.json( + { error: skillCapabilityErrorMessage(capabilityViolations) }, + { status: 409 }, + ); + } + + if ( + (input.status ?? 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--popover-foreground: #18181b; + --primary: #18181b; + --primary-foreground: #fafafa; + --secondary: #f4f4f5; + --secondary-foreground: #27272a; + --muted: #f4f4f5; + --muted-foreground: #71717a; + --accent: #f4f4f5; + --accent-foreground: #18181b; + --destructive: #dc2626; + --border: #e4e4e7; + --input: #e4e4e7; + --ring: #a1a1aa; + + --canvas: var(--background); + --surface: #ffffff; + --ink: var(--foreground); + --slate: var(--muted-foreground); + --line: var(--border); + --cobalt: #18181b; + --cobalt-soft: #f4f4f5; + --mint: #16a34a; + --mint-dark: #166534; + --mint-soft: #f0fdf4; + --coral: var(--destructive); + --coral-soft: #fef2f2; +} + +@theme inline { + --color-background: var(--background); + --color-foreground: var(--foreground); + --color-card: var(--card); + --color-card-foreground: var(--card-foreground); + --color-popover: var(--popover); + --color-popover-foreground: var(--popover-foreground); + --color-primary: var(--primary); + --color-primary-foreground: var(--primary-foreground); + --color-secondary: var(--secondary); + --color-secondary-foreground: var(--secondary-foreground); + --color-muted: var(--muted); + --color-muted-foreground: var(--muted-foreground); + --color-accent: var(--accent); + --color-accent-foreground: var(--accent-foreground); + --color-destructive: var(--destructive); + --color-border: var(--border); + --color-input: var(--input); + --color-ring: var(--ring); + --radius-sm: calc(var(--radius) - 4px); + --radius-md: calc(var(--radius) - 2px); + --radius-lg: var(--radius); + --radius-xl: calc(var(--radius) + 4px); + --color-canvas: var(--canvas); + --color-surface: var(--surface); + --color-ink: var(--ink); + --color-line: var(--line); + --color-cobalt: var(--cobalt); + --color-cobalt-soft: var(--cobalt-soft); + --color-mint: var(--mint); + --color-mint-dark: var(--mint-dark); + --color-mint-soft: var(--mint-soft); + --color-coral: var(--coral); + --color-coral-soft: var(--coral-soft); + --font-sans: + "Manrope Variable", "Noto Sans SC", "PingFang SC", "Microsoft YaHei UI", + sans-serif; + --font-display: + "Manrope Variable", "Noto Sans SC", "PingFang SC", "Microsoft YaHei UI", + sans-serif; + --font-mono: "IBM Plex Mono", "SFMono-Regular", Consolas, monospace; + @keyframes collapsible-down { + from { + height: 0; + } + to { + height: var( + --radix-collapsible-content-height, + var(--collapsible-panel-height, auto) + ); + } + } + @keyframes collapsible-up { + from { + height: var( + --radix-collapsible-content-height, + var(--collapsible-panel-height, auto) + ); + } + to { + height: 0; + } + } +} + +* { + box-sizing: border-box; +} + +html, +body { + min-height: 100%; +} + +body { + margin: 0; + background: var(--canvas); + color: var(--ink); + font-family: + "Manrope Variable", "Noto Sans SC", "PingFang SC", "Microsoft YaHei UI", + sans-serif; + -webkit-font-smoothing: antialiased; + text-rendering: optimizeLegibility; +} + +button { + cursor: pointer; +} + +button:disabled { + cursor: default; +} + +::selection { + background: rgba(59, 130, 246, 0.28); + color: inherit; +} + +::-webkit-scrollbar { + width: 7px; + height: 7px; +} + +::-webkit-scrollbar-track { + background: transparent; +} + +::-webkit-scrollbar-thumb { + border: 2px solid transparent; + border-radius: 999px; + background: rgba(113, 113, 122, 0.2); + background-clip: padding-box; +} + +::-webkit-scrollbar-thumb:hover { + background: rgba(113, 113, 122, 0.34); + background-clip: padding-box; +} + +.markdown { + overflow-wrap: anywhere; +} + +.markdown > :first-child { + margin-top: 0; +} + +.markdown > :last-child { + margin-bottom: 0; +} + +.markdown p { + margin: 0.62em 0; +} + +.markdown h1, +.markdown h2, +.markdown h3 { + margin: 1.15em 0 0.42em; + font-family: + "Manrope Variable", "Noto Sans SC", "PingFang SC", "Microsoft YaHei UI", + sans-serif; + font-weight: 800; + letter-spacing: -0.025em; + line-height: 1.35; +} + +.markdown h1 { + font-size: 1.3em; +} + +.markdown h2 { + font-size: 1.16em; +} + +.markdown h3 { + font-size: 1.04em; +} + +.markdown ul, +.markdown ol { + margin: 0.65em 0; + padding-left: 1.3em; +} + +.markdown li { + margin: 0.22em 0; +} + +.markdown li::marker { + color: var(--muted-foreground); +} + +.markdown blockquote { + margin: 0.8em 0; + border-left: 2px solid var(--border); + border-radius: 0 8px 8px 0; + background: var(--muted); + padding: 0.5em 0.8em; + color: var(--muted-foreground); +} + +.markdown code { + border-radius: 5px; + background: #eef1f5; + padding: 0.14em 0.36em; + font-family: "IBM Plex Mono", Consolas, monospace; + font-size: 0.88em; +} + +.markdown pre { + max-width: 100%; + overflow-x: auto; + border-radius: 12px; + background: #18181b; + padding: 1em; + color: #eef2fb; +} + +.markdown pre code { + background: transparent; + padding: 0; + color: inherit; +} + +.markdown table { + display: block; + max-width: 100%; + overflow-x: auto; + border-collapse: collapse; + font-size: 0.92em; +} + +.markdown th, +.markdown td { + border: 1px solid var(--line); + padding: 0.45em 0.7em; + text-align: left; +} + +.markdown th { + background: var(--canvas); + font-weight: 750; +} + +@media (prefers-reduced-motion: reduce) { + *, + *::before, + *::after { + scroll-behavior: auto !important; + animation-duration: 0.01ms !important; + animation-iteration-count: 1 !important; + transition-duration: 0.01ms !important; + } +} + +@custom-variant data-open (&:where([data-state="open"], [data-open]:not([data-open="false"]))); + +@custom-variant data-closed (&:where([data-state="closed"], [data-closed]:not([data-closed="false"]))); diff --git a/src/app/layout.tsx b/src/app/layout.tsx new file mode 100644 index 0000000..1ecc36c --- /dev/null +++ b/src/app/layout.tsx @@ -0,0 +1,27 @@ +import type { Metadata } from "next"; +import "@fontsource-variable/manrope"; +import "@fontsource/ibm-plex-mono/500.css"; +import "@fontsource/ibm-plex-mono/600.css"; +import "./globals.css"; + +export const metadata: Metadata = { + title: { + default: "Skill Loom · AI Skill 工作台", + template: "%s · Skill Loom", + }, + description: + "组合、创建并在单轮 AI 对话中智能调用可复用 Skill 的工作台。", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + {children} + + ); +} + diff --git a/src/app/page.tsx b/src/app/page.tsx new file mode 100644 index 0000000..13921b6 --- /dev/null +++ b/src/app/page.tsx @@ -0,0 +1,6 @@ +import { ChatWorkspace } from "@/components/chat-workspace"; + +export default function Home() { + return ; +} + diff --git a/src/app/skills/[id]/page.tsx b/src/app/skills/[id]/page.tsx new file mode 100644 index 0000000..35e123e --- /dev/null +++ b/src/app/skills/[id]/page.tsx @@ -0,0 +1,9 @@ +import { SkillBuilder } from "@/components/skill-builder"; + +export default async function EditSkillPage( + props: PageProps<"/skills/[id]">, +) { + const { id } = await props.params; + return ; +} + diff --git a/src/app/skills/new/page.tsx b/src/app/skills/new/page.tsx new file mode 100644 index 0000000..e567bda --- /dev/null +++ b/src/app/skills/new/page.tsx @@ -0,0 +1,6 @@ +import { SkillBuilder } from "@/components/skill-builder"; + +export default function NewSkillPage() { + return ; +} + diff --git a/src/components/assistant-builder-chat.tsx b/src/components/assistant-builder-chat.tsx new file mode 100644 index 0000000..74be785 --- /dev/null +++ b/src/components/assistant-builder-chat.tsx @@ -0,0 +1,293 @@ +"use client"; + +import { LoaderCircle, Sparkles } from "lucide-react"; +import { + AssistantRuntimeProvider, + MessagePrimitive, + ThreadPrimitive, + useAuiState, + useExternalStoreRuntime, + type AppendMessage, + type TextMessagePartProps, + type ThreadMessageLike, +} from "@assistant-ui/react"; +import { BuilderComposer } from "@/components/builder-composer"; +import { ChatErrorNotice } from "@/components/chat-error-notice"; +import { StreamingMarkdown } from "@/components/streaming-markdown"; +import { useSmoothFollow } from "@/components/use-smooth-follow"; +import { + type BuilderMessage, + type BuilderSuggestionSource, + type SkillNodeKey, +} from "@/lib/types"; +import { formatRelativeTime } from "@/lib/utils"; + +type BuilderMetadata = { + updatedNodeKeys?: SkillNodeKey[]; + generationStatus?: string; +}; + +function getText(message: AppendMessage) { + return message.content + .filter((part) => part.type === "text") + .map((part) => part.text) + .join("") + .trim(); +} + +function convertBuilderMessage( + message: BuilderMessage, + index: number, + messages: BuilderMessage[], + streaming: boolean, + generationStatus: string, +): ThreadMessageLike { + const running = + message.role === "assistant" && + streaming && + index === messages.length - 1; + + return { + id: message.id, + role: message.role, + content: message.content, + createdAt: new Date(message.createdAt), + ...(message.role === "assistant" + ? { + status: running + ? ({ type: "running" } as const) + : ({ type: "complete", reason: "stop" } as const), + } + : {}), + metadata: { + custom: { + updatedNodeKeys: message.updatedNodeKeys ?? [message.nodeKey], + generationStatus, + } satisfies BuilderMetadata, + }, + }; +} + +function BuilderMessageTime() { + const createdAt = useAuiState((state) => state.message.createdAt); + return {formatRelativeTime(createdAt.toISOString())}; +} + +function BuilderUserText({ text }: TextMessagePartProps) { + return

{text}

; +} + +function BuilderAssistantText() { + const metadata = useAuiState( + (state) => state.message.metadata.custom as BuilderMetadata, + ); + + return ( + + + {metadata.generationStatus || "思考中"} + + } + /> + ); +} + +function BuilderUserMessage() { + return ( + +
+
+ +
+
+ +
+
+ + ); +} + +function BuilderAssistantMessage() { + return ( + +
+
+ Skill 设计助手 + +
+
+ +
+
+ + ); +} + +function BuilderSuggestions({ + suggestions, + source, + onSend, +}: { + suggestions: string[]; + source: BuilderSuggestionSource; + onSend: (message: string) => Promise; +}) { + const styles = [ + "border-emerald-200 bg-emerald-50/70 text-emerald-800", + "border-sky-200 bg-sky-50/70 text-sky-800", + "border-violet-200 bg-violet-50/70 text-violet-800", + ]; + + if (source === "idle") return null; + if (suggestions.length === 0 && source !== "loading") return null; + const generatedByAi = source === "ai"; + + return ( +
+
+ {source === "loading" ? ( + + ) : ( + + )} + {source === "loading" + ? "正在生成建议" + : generatedByAi + ? "DeepSeek 建议" + : "示例建议"} +
+
+ {suggestions.map((suggestion, index) => { + const style = styles[index % styles.length]; + return ( + + ); + })} +
+
+ ); +} + +export function AssistantBuilderChat({ + messages, + loading, + streaming, + generationStatus, + suggestions, + suggestionSource, + sendFailure, + onSend, + onStop, + onRetry, + onDismissFailure, +}: { + messages: BuilderMessage[]; + loading: boolean; + streaming: boolean; + generationStatus: string; + suggestions: string[]; + suggestionSource: BuilderSuggestionSource; + sendFailure: { content: string; detail: string } | null; + onSend: (message: string) => Promise; + onStop: () => void; + onRetry: () => void; + onDismissFailure: () => void; +}) { + const runtime = useExternalStoreRuntime({ + messages, + isLoading: loading, + isRunning: streaming, + convertMessage: (message, index) => + convertBuilderMessage( + message, + index, + messages, + streaming, + generationStatus, + ), + onNew: async (message) => { + const text = getText(message); + if (text) await onSend(text); + }, + onCancel: async () => onStop(), + }); + const latestMessage = messages.at(-1); + const smoothFollow = useSmoothFollow( + streaming, + latestMessage?.id ?? "empty", + ); + + return ( + + + {loading ? ( +
+
+ + 正在载入 Skill +
+
+ ) : ( + <> + +
+ + {!streaming && ( + + )} +
+ + +
+
+ {sendFailure && ( + + )} + +
+
+ + )} + + + ); +} diff --git a/src/components/assistant-chat.tsx b/src/components/assistant-chat.tsx new file mode 100644 index 0000000..324b9d8 --- /dev/null +++ b/src/components/assistant-chat.tsx @@ -0,0 +1,635 @@ +"use client"; + +import { + AlertTriangle, + Check, + CircleStop, + Copy, + LoaderCircle, + Plus, + ReceiptText, + Sparkles, +} from "lucide-react"; +import { + AssistantRuntimeProvider, + MessagePrimitive, + ThreadPrimitive, + useAuiState, + useExternalStoreRuntime, + type AppendMessage, + type TextMessagePartProps, + type ThreadMessageLike, +} from "@assistant-ui/react"; +import Link from "next/link"; +import { useState } from "react"; +import { toast } from "sonner"; +import { ChatComposer } from "@/components/chat-composer"; +import { ChatErrorNotice } from "@/components/chat-error-notice"; +import { StreamingMarkdown } from "@/components/streaming-markdown"; +import { ToolFallback } from "@/components/tool-fallback"; +import { useSmoothFollow } from "@/components/use-smooth-follow"; +import { + Popover, + PopoverContent, + PopoverDescription, + PopoverHeader, + PopoverTitle, + PopoverTrigger, +} from "@/components/ui/popover"; +import type { ChatMessage, Skill } from "@/lib/types"; +import { cn, formatRelativeTime } from "@/lib/utils"; + +type SendFailure = { + content: string; + selectedIds: string[]; + detail: string; +}; + +type ChatMessageMetadata = { + selectedSkillIds?: string[]; + usedSkillIds?: string[]; + skillDecisionResolved?: boolean; + generationStatus?: string; + errorMessage?: string; + sourceStatus?: ChatMessage["status"]; + rawContent?: string; + usage?: ChatMessage["usage"]; +}; + +const exactTokenFormatter = new Intl.NumberFormat("zh-CN"); +const compactTokenFormatter = new Intl.NumberFormat("zh-CN", { + notation: "compact", + maximumFractionDigits: 1, +}); + +function formatCompactTokens(value: number) { + return value < 10_000 + ? exactTokenFormatter.format(value) + : compactTokenFormatter.format(value); +} + +function formatCost(costMicros: number | undefined) { + if (typeof costMicros !== "number") return "费用待配置"; + if (costMicros === 0) return "¥0"; + + const yuan = costMicros / 1_000_000; + if (yuan < 0.0001) return "< ¥0.0001"; + if (yuan < 0.01) return `¥${yuan.toFixed(4)}`; + return `¥${yuan.toFixed(3)}`; +} + +function formatDuration(durationMs: number | undefined) { + if (typeof durationMs !== "number") return ""; + if (durationMs < 1_000) { + return `${Math.max(1, Math.round(durationMs))} 毫秒`; + } + if (durationMs < 10_000) { + return `${(durationMs / 1_000).toFixed(1).replace(/\.0$/, "")} 秒`; + } + + const totalSeconds = Math.round(durationMs / 1_000); + if (totalSeconds < 60) return `${totalSeconds} 秒`; + + const minutes = Math.floor(totalSeconds / 60); + const seconds = totalSeconds % 60; + return seconds > 0 ? `${minutes} 分 ${seconds} 秒` : `${minutes} 分钟`; +} + +function getText(message: AppendMessage) { + return message.content + .filter((part) => part.type === "text") + .map((part) => part.text) + .join("") + .trim(); +} + +function toAssistantMessage( + message: ChatMessage, + skills: Skill[], + generationStatus: string, + resolvedSkillIds: string[] | null, +): ThreadMessageLike { + const usedSkills = message.usedSkillIds + .map((id) => skills.find((skill) => skill.id === id)) + .filter((skill): skill is Skill => Boolean(skill)); + const isRunning = message.status === "streaming"; + type AssistantContentPart = Exclude< + ThreadMessageLike["content"], + string + >[number]; + const content: AssistantContentPart[] = []; + + for (const [position, skill] of usedSkills.entries()) { + content.push({ + type: "tool-call", + toolCallId: `skill_${message.id}_${skill.id}`, + toolName: skill.name, + args: { + skillName: skill.name, + description: skill.description, + position: position + 1, + }, + ...(isRunning + ? {} + : { + result: { + used: true, + skillName: skill.name, + }, + }), + }); + } + + if (message.content) { + content.push({ type: "text", text: message.content }); + } + + const status: ThreadMessageLike["status"] = + message.status === "streaming" + ? { type: "running" } + : message.status === "stopped" + ? { type: "incomplete", reason: "cancelled" } + : message.status === "error" + ? { + type: "incomplete", + reason: "error", + error: message.errorMessage ?? "回答生成失败", + } + : { type: "complete", reason: "stop" }; + + return { + id: message.id, + role: "assistant", + content, + createdAt: new Date(message.createdAt), + status, + metadata: { + custom: { + selectedSkillIds: message.selectedSkillIds, + usedSkillIds: message.usedSkillIds, + skillDecisionResolved: isRunning + ? resolvedSkillIds !== null + : true, + generationStatus, + errorMessage: message.errorMessage, + sourceStatus: message.status, + rawContent: message.content, + usage: message.usage, + } satisfies ChatMessageMetadata, + }, + }; +} + +function convertMessage( + message: ChatMessage, + skills: Skill[], + generationStatus: string, + resolvedSkillIds: string[] | null, +): ThreadMessageLike { + if (message.role === "assistant") { + return toAssistantMessage( + message, + skills, + generationStatus, + resolvedSkillIds, + ); + } + + return { + id: message.id, + role: "user", + content: message.content, + createdAt: new Date(message.createdAt), + metadata: { + custom: { + selectedSkillIds: message.selectedSkillIds, + sourceStatus: message.status, + } satisfies ChatMessageMetadata, + }, + }; +} + +function UserText({ text }: TextMessagePartProps) { + return

{text}

; +} + +function AssistantText() { + const metadata = useAuiState( + (state) => state.message.metadata.custom as ChatMessageMetadata, + ); + + return ( + + + {metadata.generationStatus || "正在思考"} + + } + /> + ); +} + +function MessageTime() { + const createdAt = useAuiState((state) => state.message.createdAt); + return {formatRelativeTime(createdAt.toISOString())}; +} + +function UserMessage() { + return ( + +
+
+ +
+
+ +
+
+ + ); +} + +function UsageDetails({ + usage, +}: { + usage: NonNullable; +}) { + const rows = [ + ["输入 Token", exactTokenFormatter.format(usage.promptTokens)], + ["缓存命中", exactTokenFormatter.format(usage.promptCacheHitTokens)], + ["缓存未命中", exactTokenFormatter.format(usage.promptCacheMissTokens)], + ["输出 Token", exactTokenFormatter.format(usage.completionTokens)], + ...(usage.reasoningTokens > 0 + ? ([ + [ + "其中推理", + exactTokenFormatter.format(usage.reasoningTokens), + ], + ] as const) + : []), + ["总 Token", exactTokenFormatter.format(usage.totalTokens)], + ...(typeof usage.durationMs === "number" + ? ([["本轮用时", formatDuration(usage.durationMs)]] as const) + : []), + ] as const; + + return ( + + + + + 本轮运行信息 + + + 用时从请求受理到回答结束，费用按调用时配置价格估算。 + + + + {usage.status === "demo" ? ( +
+

当前回答由本地演示模式生成，没有产生模型 Token 或费用。

+ {typeof usage.durationMs === "number" && ( +

+ 本轮用时 {formatDuration(usage.durationMs)} +

+ )} +
+ ) : usage.status === "unavailable" ? ( +
+

这条回答没有可用的供应商用量数据。

+ {typeof usage.durationMs === "number" && ( +

+ 本轮用时 {formatDuration(usage.durationMs)} +

+ )} +
+ ) : ( + <> +
+ {rows.map(([label, value]) => ( +
+
{label}
+
+ {value} +
+
+ ))} +
+
+
+

+ {usage.models.join("、") || "模型未记录"} +

+

+ {usage.callCount} 次调用 + {usage.status === "partial" ? " · 数据可能不完整" : ""} +

+
+
+

+ {formatCost(usage.estimatedCostMicros)} +

+

预计模型费用

+
+
+ + )} + + ); +} + +function MessageReceipt() { + const metadata = useAuiState( + (state) => state.message.metadata.custom as ChatMessageMetadata, + ); + const [copied, setCopied] = useState(false); + const content = metadata.rawContent?.trim() ?? ""; + const isFinished = + metadata.sourceStatus === "complete" || + metadata.sourceStatus === "stopped" || + metadata.sourceStatus === "error"; + + if (!content || !isFinished) return null; + + async function copyAnswer() { + try { + await navigator.clipboard.writeText(content); + setCopied(true); + window.setTimeout(() => setCopied(false), 1_800); + } catch { + toast.error("无法复制，请手动选择回答内容"); + } + } + + const usage = metadata.usage; + const durationLabel = formatDuration(usage?.durationMs); + const usageLabel = usage + ? usage.status === "demo" + ? ["演示模式", durationLabel, "¥0"].filter(Boolean).join(" · ") + : usage.status === "unavailable" + ? ["用量未记录", durationLabel].filter(Boolean).join(" · ") + : [ + `${formatCompactTokens(usage.totalTokens)} tokens`, + durationLabel, + `约 ${formatCost(usage.estimatedCostMicros)}`, + ] + .filter(Boolean) + .join(" · ") + : ""; + + return ( +
+ + + {usage && ( + <> + + + + + + + + + )} +
+ ); +} + +function AssistantMessage() { + const metadata = useAuiState( + (state) => state.message.metadata.custom as ChatMessageMetadata, + ); + + return ( + +
+
+ Skill Loom + +
+ +
+ +
+ + {metadata.sourceStatus === "error" && ( +
+
+ +
+

回答没有完成

+

+ {metadata.errorMessage || + "生成回答时发生错误，请重新发送这条消息。"} +

+
+
+
+ )} + + {metadata.sourceStatus === "stopped" && ( +
+ + 本轮已中止 +
+ )} + + +
+ + ); +} + +function Welcome({ + onOpenSkillPicker, +}: { + onOpenSkillPicker: () => void; +}) { + return ( +
+
+
+ +
+

+ 有什么我可以帮你？ +

+

+ 说说你的目标、问题或想法，我们从这里开始。 +

+
+ + + + 创建自己的 Skill + +
+
+
+ ); +} + +export function AssistantChat({ + skills, + messages, + selectedIds, + resolvedSkillIds, + loading, + streaming, + stopping, + generationStatus, + sendFailure, + canSend, + onSelectedChange, + onOpenSkillPicker, + onSend, + onStop, + onRetry, + onDismissFailure, +}: { + skills: Skill[]; + messages: ChatMessage[]; + selectedIds: string[]; + resolvedSkillIds: string[] | null; + loading: boolean; + streaming: boolean; + stopping: boolean; + generationStatus: string; + sendFailure: SendFailure | null; + canSend: boolean; + onSelectedChange: (ids: string[]) => void; + onOpenSkillPicker: () => void; + onSend: (message: string) => Promise; + onStop: () => Promise; + onRetry: () => void; + onDismissFailure: () => void; +}) { + const runtime = useExternalStoreRuntime({ + messages, + isLoading: loading, + isRunning: streaming, + isSendDisabled: !canSend, + convertMessage: (message) => + convertMessage( + message, + skills, + generationStatus, + resolvedSkillIds, + ), + onNew: async (message) => { + const text = getText(message); + if (text) await onSend(text); + }, + onCancel: onStop, + }); + const latestMessage = messages.at(-1); + const smoothFollow = useSmoothFollow( + streaming, + latestMessage?.id ?? "empty", + ); + + return ( + + + {loading ? ( +
+
+ + 正在打开工作台 +
+
+ ) : ( + <> + + {messages.length === 0 ? ( + + ) : ( +
+ +
+ )} + + +
+
+ {sendFailure && ( + + )} + +
+
+ + )} + + + ); +} diff --git a/src/components/brand-mark.tsx b/src/components/brand-mark.tsx new file mode 100644 index 0000000..d96a0ca --- /dev/null +++ b/src/components/brand-mark.tsx @@ -0,0 +1,30 @@ +import { Braces } from "lucide-react"; +import { cn } from "@/lib/utils"; + +export function BrandMark({ + compact = false, + className, +}: { + compact?: boolean; + className?: string; +}) { + return ( +
+
+ + +
+ {!compact && ( +
+
+ Skill Loom +
+
+ AI Skill Workspace +
+
+ )} +
+ ); +} + diff --git a/src/components/builder-composer.tsx b/src/components/builder-composer.tsx new file mode 100644 index 0000000..d992cb8 --- /dev/null +++ b/src/components/builder-composer.tsx @@ -0,0 +1,44 @@ +"use client"; + +import { ArrowUp, CornerDownLeft, Square } from "lucide-react"; +import { ComposerPrimitive } from "@assistant-ui/react"; + +export function BuilderComposer({ + isStreaming, +}: { + isStreaming: boolean; +}) { + return ( + + +
+ + + Enter 发送 · Shift + Enter 换行 + + + {isStreaming ? ( + + + + ) : ( + + + + )} +
+ + ); +} diff --git a/src/components/chat-composer.tsx b/src/components/chat-composer.tsx new file mode 100644 index 0000000..1e8bf87 --- /dev/null +++ b/src/components/chat-composer.tsx @@ -0,0 +1,335 @@ +"use client"; + +import { + ArrowUpDown, + ArrowUp, + ChevronsRight, + Command, + CornerDownLeft, + LoaderCircle, + Plus, + Square, + X, +} from "lucide-react"; +import { + ComposerPrimitive, + useAui, + useAuiState, +} from "@assistant-ui/react"; +import { + Fragment, + useId, + useMemo, + useRef, + useState, + type KeyboardEvent, +} from "react"; +import type { Skill } from "@/lib/types"; +import { cn } from "@/lib/utils"; +import { SkillTag } from "@/components/skill-tag"; + +export function ChatComposer({ + skills, + selectedIds, + resolvedSkillIds, + onSelectedChange, + onOpenSkillPicker, + isStreaming, + isStopping, +}: { + skills: Skill[]; + selectedIds: string[]; + resolvedSkillIds: string[] | null; + onSelectedChange: (ids: string[]) => void; + onOpenSkillPicker: () => void; + isStreaming: boolean; + isStopping: boolean; +}) { + const aui = useAui(); + const value = useAuiState((state) => state.composer.text); + const textareaRef = useRef(null); + const listboxId = useId(); + const [activeSuggestionId, setActiveSuggestionId] = useState( + null, + ); + + const slashMatch = value.match(/(?:^|\s)\/([^\s/]*)$/); + const slashQuery = slashMatch?.[1]?.toLowerCase() ?? null; + const availableSuggestions = useMemo(() => { + if (slashQuery === null) return []; + return skills + .filter((skill) => !selectedIds.includes(skill.id)) + .filter((skill) => + `${skill.name} ${skill.description}` + .toLowerCase() + .includes(slashQuery), + ) + .slice(0, 6); + }, [skills, selectedIds, slashQuery]); + const matchedSuggestionIndex = availableSuggestions.findIndex( + (skill) => skill.id === activeSuggestionId, + ); + const activeSuggestionIndex = + matchedSuggestionIndex === -1 ? 0 : matchedSuggestionIndex; + + const selectedSkills = selectedIds + .map((id) => skills.find((skill) => skill.id === id)) + .filter((skill): skill is Skill => Boolean(skill)); + const routeResolved = isStreaming && resolvedSkillIds !== null; + + function handleKeyDown(event: KeyboardEvent) { + if (!slashMatch || event.nativeEvent.isComposing) return; + + if (event.key === "Escape") { + event.preventDefault(); + event.stopPropagation(); + closeSlashMenu(); + return; + } + + if (availableSuggestions.length === 0) return; + + if (event.key === "ArrowDown" || event.key === "ArrowUp") { + event.preventDefault(); + event.stopPropagation(); + const direction = event.key === "ArrowDown" ? 1 : -1; + const nextIndex = + (activeSuggestionIndex + direction + availableSuggestions.length) % + availableSuggestions.length; + setActiveSuggestionId(availableSuggestions[nextIndex].id); + return; + } + + if ( + (event.key === "Enter" && !event.shiftKey) || + event.key === "Tab" + ) { + event.preventDefault(); + event.stopPropagation(); + addSkill( + availableSuggestions[ + Math.min(activeSuggestionIndex, availableSuggestions.length - 1) + ], + ); + } + } + + function closeSlashMenu() { + setActiveSuggestionId(null); + aui.composer().setText(value.replace(/(?:^|\s)\/([^\s/]*)$/, (match) => + match.startsWith(" ") ? " " : "", + )); + requestAnimationFrame(() => textareaRef.current?.focus()); + } + + function addSkill(skill: Skill) { + setActiveSuggestionId(null); + onSelectedChange([...selectedIds, skill.id]); + aui.composer().setText( + value.replace(/(?:^|\s)\/([^\s/]*)$/, (match) => + match.startsWith(" ") ? " " : "", + ), + ); + requestAnimationFrame(() => textareaRef.current?.focus()); + } + + return ( + + {slashMatch && ( +
+
+ + 插入 Skill + + + + 移动 + · + + 选择 + +
+ {availableSuggestions.length > 0 ? ( +
+ {availableSuggestions.map((skill, index) => ( + + ))} +
+ ) : ( +
+ 没有更多可添加的 Skill +
+ )} +
+ )} + +
+ {selectedSkills.length > 0 && ( +
+
+ {selectedSkills.map((skill, index) => { + const status = !isStreaming + ? "selected" + : !routeResolved + ? "checking" + : resolvedSkillIds.includes(skill.id) + ? "used" + : "unused"; + return ( + + {index > 0 && ( + + ); + })} +
+
+ )} + + 0 + ? `${listboxId}-${ + availableSuggestions[ + Math.min( + activeSuggestionIndex, + availableSuggestions.length - 1, + ) + ].id + }` + : undefined + } + rows={1} + maxRows={7} + placeholder="说说你想解决什么，输入 / 添加 Skill…" + className="block min-h-[68px] w-full resize-none bg-transparent px-4 pb-1.5 pt-3.5 text-[15px] leading-6 text-foreground outline-none placeholder:text-muted-foreground/70" + aria-label="聊天输入" + /> + +
+ + +
+ + + Enter 发送 + + {isStreaming ? ( + + {isStopping ? ( + + ) : ( + + )} + + ) : ( + + + + )} +
+
+
+
+ AI 可能犯错，请核对重要信息 + {slashMatch && ( + <> + · + + + )} +
+ + ); +} diff --git a/src/components/chat-error-notice.tsx b/src/components/chat-error-notice.tsx new file mode 100644 index 0000000..135e54d --- /dev/null +++ b/src/components/chat-error-notice.tsx @@ -0,0 +1,49 @@ +"use client"; + +import { AlertCircle, RotateCcw, X } from "lucide-react"; +import { Button } from "@/components/ui/button"; + +export function ChatErrorNotice({ + detail, + onRetry, + onDismiss, +}: { + detail: string; + onRetry: () => void; + onDismiss: () => void; +}) { + return ( +
+ + + +
+

消息没有发送

+

+ {detail} +

+ +
+ +
+ ); +} diff --git a/src/components/chat-workspace.tsx b/src/components/chat-workspace.tsx new file mode 100644 index 0000000..dadac63 --- /dev/null +++ b/src/components/chat-workspace.tsx @@ -0,0 +1,548 @@ +"use client"; + +import { + CircleDot, + MessageSquareText, + WifiOff, +} from "lucide-react"; +import { useCallback, useEffect, useRef, useState } from "react"; +import { Toaster, toast } from "sonner"; +import type { + ChatMessage, + ChatRun, + Conversation, + Skill, + SseEvent, +} from "@/lib/types"; +import { consumeSse } from "@/lib/client-sse"; +import { AssistantChat } from "@/components/assistant-chat"; +import { ConversationActions } from "@/components/conversation-actions"; +import { SkillPicker } from "@/components/skill-picker"; + +function wait(ms: number, signal: AbortSignal) { + return new Promise((resolve, reject) => { + const timeout = window.setTimeout(resolve, ms); + signal.addEventListener( + "abort", + () => { + window.clearTimeout(timeout); + reject(new DOMException("Aborted", "AbortError")); + }, + { once: true }, + ); + }); +} + +export function ChatWorkspace() { + const [skills, setSkills] = useState([]); + const [messages, setMessages] = useState([]); + const [conversation, setConversation] = useState(null); + const [selectedIds, setSelectedIds] = useState([]); + const [pickerOpen, setPickerOpen] = useState(false); + const [loading, setLoading] = useState(true); + const [streaming, setStreaming] = useState(false); + const [generationStatus, setGenerationStatus] = useState(""); + const [apiConfigured, setApiConfigured] = useState(false); + const [activeRun, setActiveRun] = useState(null); + const [stopping, setStopping] = useState(false); + const [resolvedSkillIds, setResolvedSkillIds] = useState( + null, + ); + const activeRunRef = useRef(null); + const stopRequestedRef = useRef(false); + const visibleAssistantContentRef = useRef(""); + const [sendFailure, setSendFailure] = useState<{ + content: string; + selectedIds: string[]; + detail: string; + } | null>(null); + + const loadSkills = useCallback(async () => { + const response = await fetch("/api/skills", { cache: "no-store" }); + if (!response.ok) throw new Error("无法读取 Skill 列表"); + const payload = (await response.json()) as { skills: Skill[] }; + setSkills(payload.skills); + setSelectedIds((ids) => + ids.filter((id) => payload.skills.some((skill) => skill.id === id)), + ); + }, []); + + useEffect(() => { + let cancelled = false; + + async function load() { + try { + const [skillsResponse, chatResponse] = await Promise.all([ + fetch("/api/skills", { cache: "no-store" }), + fetch("/api/chat", { cache: "no-store" }), + ]); + if (!skillsResponse.ok || !chatResponse.ok) { + throw new Error("工作台加载失败"); + } + const skillPayload = (await skillsResponse.json()) as { + skills: Skill[]; + }; + const chatPayload = (await chatResponse.json()) as { + conversation: Conversation; + messages: ChatMessage[]; + activeRun: ChatRun | null; + retainedSkillIds: string[]; + apiConfigured: boolean; + }; + if (cancelled) return; + + const hydratedMessages = chatPayload.activeRun + ? chatPayload.messages.map((message) => + message.id === chatPayload.activeRun?.assistantMessageId + ? { + ...message, + content: "", + usedSkillIds: [], + status: "streaming" as const, + } + : message, + ) + : chatPayload.messages; + + setSkills(skillPayload.skills); + setConversation(chatPayload.conversation); + setMessages(hydratedMessages); + if (chatPayload.activeRun) { + const activeMessage = chatPayload.messages.find( + (message) => + message.id === chatPayload.activeRun?.assistantMessageId, + ); + setSelectedIds( + (activeMessage?.selectedSkillIds ?? []).filter((id) => + skillPayload.skills.some((skill) => skill.id === id), + ), + ); + setResolvedSkillIds(null); + } else { + setSelectedIds( + (chatPayload.retainedSkillIds ?? []).filter((id) => + skillPayload.skills.some((skill) => skill.id === id), + ), + ); + } + setApiConfigured(chatPayload.apiConfigured); + activeRunRef.current = chatPayload.activeRun; + setActiveRun(chatPayload.activeRun); + setStreaming(Boolean(chatPayload.activeRun)); + if (chatPayload.activeRun) setGenerationStatus("正在恢复本轮回答"); + } catch (error) { + if (!cancelled) { + toast.error(error instanceof Error ? error.message : "工作台加载失败"); + } + } finally { + if (!cancelled) setLoading(false); + } + } + + void load(); + return () => { + cancelled = true; + }; + }, []); + + useEffect(() => { + const refresh = () => void loadSkills().catch(() => undefined); + window.addEventListener("focus", refresh); + window.addEventListener("pageshow", refresh); + return () => { + window.removeEventListener("focus", refresh); + window.removeEventListener("pageshow", refresh); + }; + }, [loadSkills]); + + useEffect(() => { + if (!activeRun) return; + + const controller = new AbortController(); + let cursor = 0; + let terminal = false; + let retainedForNextTurn: string[] = []; + + const updateAssistant = ( + updater: (message: ChatMessage) => ChatMessage, + ) => { + setMessages((items) => + items.map((message) => + message.id === activeRun.assistantMessageId + ? updater(message) + : message, + ), + ); + }; + + async function followRun() { + for (let attempt = 0; attempt < 12 && !terminal; attempt += 1) { + try { + if (attempt > 0) { + setGenerationStatus(`连接已恢复，正在续传（${attempt}/11）`); + } + const response = await fetch( + `/api/chat/runs/${activeRun!.id}/stream?after=${cursor}`, + { + cache: "no-store", + signal: controller.signal, + }, + ); + + await consumeSse(response, (event: SseEvent) => { + if (typeof event.seq === "number") { + cursor = Math.max(cursor, event.seq); + } + if (event.type === "status") setGenerationStatus(event.label); + if (event.type === "skill_usage") { + setResolvedSkillIds(event.skillIds); + updateAssistant((message) => ({ + ...message, + usedSkillIds: event.skillIds, + })); + } + if (event.type === "skill_retention") { + retainedForNextTurn = event.skillIds; + setSelectedIds(event.skillIds); + } + if (event.type === "token") { + if (stopRequestedRef.current) return; + visibleAssistantContentRef.current += event.token; + updateAssistant((message) => ({ + ...message, + content: message.content + event.token, + })); + } + if (event.type === "usage") { + updateAssistant((message) => ({ + ...message, + usage: event.usage, + })); + } + if (event.type === "conversation_title") { + setConversation((current) => + current ? { ...current, title: event.title } : current, + ); + } + if (event.type === "complete") { + if (stopRequestedRef.current) return; + terminal = true; + updateAssistant((message) => ({ + ...message, + status: "complete", + })); + } + if (event.type === "aborted") { + terminal = true; + updateAssistant((message) => ({ + ...message, + content: message.content || "本轮回答已中止。", + status: "stopped", + })); + } + if (event.type === "error") { + terminal = true; + updateAssistant((message) => ({ + ...message, + status: "error", + errorMessage: event.message, + })); + toast.error(event.message); + } + }); + + if (!terminal) { + if (stopRequestedRef.current) { + setGenerationStatus("正在中止本轮回答"); + await wait(160, controller.signal); + } else { + setGenerationStatus("连接短暂中断，正在自动续传"); + await wait( + Math.min(700 * 2 ** attempt, 5_000), + controller.signal, + ); + } + } + } catch { + if (controller.signal.aborted) return; + setGenerationStatus( + stopRequestedRef.current + ? "正在中止本轮回答" + : "连接短暂中断，正在自动续传", + ); + try { + await wait( + stopRequestedRef.current + ? 160 + : Math.min(700 * 2 ** attempt, 5_000), + controller.signal, + ); + } catch { + return; + } + if (attempt === 11) { + toast.error("暂时无法恢复连接，刷新页面会从已保存进度继续"); + } + } + } + + if (terminal) { + stopRequestedRef.current = false; + activeRunRef.current = null; + setStopping(false); + setStreaming(false); + setGenerationStatus(""); + setSelectedIds(retainedForNextTurn); + setResolvedSkillIds(null); + setActiveRun(null); + } + } + + void followRun(); + return () => { + controller.abort(); + }; + }, [activeRun]); + + async function sendMessage(content: string, selectedOverride?: string[]) { + if (!conversation || streaming) return; + + stopRequestedRef.current = false; + visibleAssistantContentRef.current = ""; + setStopping(false); + const selectedForTurn = [...(selectedOverride ?? selectedIds)]; + const userLocalId = `local_user_${crypto.randomUUID()}`; + const assistantLocalId = `local_assistant_${crypto.randomUUID()}`; + const clientRequestId = `client_${crypto.randomUUID()}`; + const now = new Date().toISOString(); + const userMessage: ChatMessage = { + id: userLocalId, + role: "user", + content, + selectedSkillIds: selectedForTurn, + usedSkillIds: [], + status: "complete", + createdAt: now, + }; + const assistantMessage: ChatMessage = { + id: assistantLocalId, + role: "assistant", + content: "", + selectedSkillIds: selectedForTurn, + usedSkillIds: [], + status: "streaming", + createdAt: new Date(Date.now() + 1).toISOString(), + }; + + setSendFailure(null); + setResolvedSkillIds(null); + setMessages((items) => [...items, userMessage, assistantMessage]); + setStreaming(true); + setGenerationStatus("正在建立安全连接"); + + try { + const response = await fetch("/api/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + conversationId: conversation.id, + message: content, + selectedSkillIds: selectedForTurn, + clientRequestId, + }), + }); + const payload = (await response.json().catch(() => null)) as { + run?: ChatRun; + error?: string; + } | null; + if (!response.ok || !payload?.run) { + throw new Error(payload?.error ?? "无法创建回答任务"); + } + const run = payload.run; + + setMessages((items) => + items.map((message) => { + if (message.id === userLocalId) { + return { ...message, id: run.userMessageId }; + } + if (message.id === assistantLocalId) { + return { ...message, id: run.assistantMessageId }; + } + return message; + }), + ); + activeRunRef.current = run; + setActiveRun(run); + if (stopRequestedRef.current) { + try { + await requestRunStop( + run.id, + visibleAssistantContentRef.current, + ); + } catch (error) { + stopRequestedRef.current = false; + setStopping(false); + toast.error( + error instanceof Error ? error.message : "中止请求失败", + ); + } + } + } catch (error) { + const message = error instanceof Error ? error.message : "发送消息失败"; + setMessages((items) => + items.filter( + (item) => + item.id !== userLocalId && item.id !== assistantLocalId, + ), + ); + setSelectedIds(selectedForTurn); + setResolvedSkillIds(null); + stopRequestedRef.current = false; + activeRunRef.current = null; + setStopping(false); + setSendFailure({ + content, + selectedIds: selectedForTurn, + detail: message, + }); + setStreaming(false); + setGenerationStatus(""); + } + } + + async function requestRunStop(runId: string, visibleContent: string) { + const response = await fetch(`/api/chat/runs/${runId}/stop`, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ visibleContent }), + }); + if (!response.ok) throw new Error("中止请求失败"); + } + + async function stopGeneration() { + if (stopRequestedRef.current) return; + stopRequestedRef.current = true; + setStopping(true); + setGenerationStatus("正在中止本轮回答"); + + const run = activeRunRef.current; + if (!run) return; + + try { + await requestRunStop( + run.id, + visibleAssistantContentRef.current, + ); + } catch (error) { + stopRequestedRef.current = false; + setStopping(false); + toast.error(error instanceof Error ? error.message : "中止请求失败"); + } + } + + return ( +
+ + +
+
+
+
+
+ + + {conversation?.title || "未命名对话"} + + {messages.length > 0 && ( + + {messages.filter((message) => message.role === "user").length}{" "} + 轮 + + )} + {generationStatus.includes("连接") && ( + + )} +
+
+
+
+ + {apiConfigured ? "AI 已连接" : "演示模式"} +
+ {conversation && ( + { + setConversation(updated); + setMessages([]); + setSelectedIds([]); + setResolvedSkillIds(null); + setSendFailure(null); + stopRequestedRef.current = false; + activeRunRef.current = null; + setStopping(false); + setActiveRun(null); + setStreaming(false); + }} + /> + )} +
+
+ + { + setSelectedIds(ids); + if (!streaming) setResolvedSkillIds(null); + }} + onOpenSkillPicker={() => setPickerOpen(true)} + onSend={sendMessage} + onStop={stopGeneration} + onRetry={() => + void (sendFailure && + sendMessage(sendFailure.content, sendFailure.selectedIds)) + } + onDismissFailure={() => setSendFailure(null)} + /> +
+
+ + {pickerOpen && ( + { + setSelectedIds(ids); + setResolvedSkillIds(null); + }} + onSkillsChange={setSkills} + /> + )} +
+ ); +} diff --git a/src/components/conversation-actions.tsx b/src/components/conversation-actions.tsx new file mode 100644 index 0000000..39a975d --- /dev/null +++ b/src/components/conversation-actions.tsx @@ -0,0 +1,196 @@ +"use client"; + +import * as Dialog from "@radix-ui/react-dialog"; +import * as Popover from "@radix-ui/react-popover"; +import { + Check, + MoreHorizontal, + Pencil, + RotateCcw, + X, +} from "lucide-react"; +import { useState } from "react"; +import { toast } from "sonner"; +import type { Conversation } from "@/lib/types"; +import { Button } from "@/components/ui/button"; +import { Input } from "@/components/ui/input"; + +export function ConversationActions({ + conversation, + disabled, + onConversationChange, + onReset, +}: { + conversation: Conversation; + disabled: boolean; + onConversationChange: (conversation: Conversation) => void; + onReset: (conversation: Conversation) => void; +}) { + const [menuOpen, setMenuOpen] = useState(false); + const [dialogMode, setDialogMode] = useState<"edit" | "reset" | null>(null); + const [title, setTitle] = useState(conversation.title); + const [saving, setSaving] = useState(false); + + function openDialog(mode: "edit" | "reset") { + setMenuOpen(false); + setTitle(conversation.title); + setDialogMode(mode); + } + + async function updateTitle() { + if (!title.trim() || saving) return; + setSaving(true); + try { + const response = await fetch("/api/conversation", { + method: "PATCH", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ title }), + }); + const payload = (await response.json()) as { + conversation?: Conversation; + error?: string; + }; + if (!response.ok || !payload.conversation) { + throw new Error(payload.error ?? "标题修改失败"); + } + onConversationChange(payload.conversation); + setDialogMode(null); + toast.success("标题已更新"); + } catch (error) { + toast.error(error instanceof Error ? error.message : "标题修改失败"); + } finally { + setSaving(false); + } + } + + async function reset() { + if (saving) return; + setSaving(true); + try { + const response = await fetch("/api/conversation", { + method: "DELETE", + }); + const payload = (await response.json()) as { + conversation?: Conversation; + error?: string; + }; + if (!response.ok || !payload.conversation) { + throw new Error(payload.error ?? "会话重置失败"); + } + onReset(payload.conversation); + setDialogMode(null); + toast.success("会话已重置"); + } catch (error) { + toast.error(error instanceof Error ? error.message : "会话重置失败"); + } finally { + setSaving(false); + } + } + + return ( + <> + + + + + + + + + + + + + !open && setDialogMode(null)} + > + + + +
+
+ + {dialogMode === "edit" ? "编辑会话标题" : "重置当前会话"} + + + {dialogMode === "edit" + ? "标题最多 40 个字符，后续不会被自动覆盖。" + : "聊天内容会清空，标题也会恢复为空。Skill 库不会受到影响。"} + +
+ + + +
+ + {dialogMode === "edit" && ( + setTitle(event.target.value)} + onKeyDown={(event) => { + if (event.key === "Enter") void updateTitle(); + }} + placeholder="输入会话标题" + className="mt-5 h-11 rounded-lg bg-transparent text-sm font-medium" + /> + )} + +
+ + + + +
+ + + + + ); +} diff --git a/src/components/skill-builder.tsx b/src/components/skill-builder.tsx new file mode 100644 index 0000000..fe3f5eb --- /dev/null +++ b/src/components/skill-builder.tsx @@ -0,0 +1,609 @@ +"use client"; + +import { + Check, + ChevronLeft, + CircleDot, + LoaderCircle, + Save, +} from "lucide-react"; +import { useRouter } from "next/navigation"; +import { useCallback, useEffect, useMemo, useRef, useState } from "react"; +import { Toaster, toast } from "sonner"; +import { AssistantBuilderChat } from "@/components/assistant-builder-chat"; +import { SkillProgress } from "@/components/skill-progress"; +import { Button } from "@/components/ui/button"; +import { consumeSse } from "@/lib/client-sse"; +import type { + BuilderMessage, + BuilderSuggestionSource, + Skill, + SkillNode, + SkillNodeKey, + SseEvent, +} from "@/lib/types"; +import { SKILL_NODE_DEFINITIONS } from "@/lib/types"; +import { cn } from "@/lib/utils"; + +function createEmptyNodes(): SkillNode[] { + return SKILL_NODE_DEFINITIONS.map((definition) => ({ + key: definition.key, + title: definition.title, + description: definition.description, + content: "", + ready: false, + completed: false, + })); +} + +function createBuilderMessage( + role: BuilderMessage["role"], + content: string, + nodeKey: SkillNodeKey, + updatedNodeKeys: SkillNodeKey[] = [nodeKey], +): BuilderMessage { + return { + id: `builder_${crypto.randomUUID()}`, + role, + content, + nodeKey, + updatedNodeKeys, + createdAt: new Date().toISOString(), + }; +} + +export function SkillBuilder({ skillId }: { skillId?: string }) { + const router = useRouter(); + const [name, setName] = useState("未命名 Skill"); + const [description, setDescription] = useState(""); + const [nodes, setNodes] = useState(createEmptyNodes); + const [messages, setMessages] = useState([]); + const [loading, setLoading] = useState(Boolean(skillId)); + const [streaming, setStreaming] = useState(false); + const [saving, setSaving] = useState(false); + const [status, setStatus] = useState(""); + const [suggestions, setSuggestions] = useState([]); + const [suggestionSource, setSuggestionSource] = + useState("loading"); + const [apiConfigured, setApiConfigured] = useState(false); + const [sendFailure, setSendFailure] = useState<{ + content: string; + detail: string; + } | null>(null); + const connectionAbortRef = useRef(null); + const builderRunIdRef = useRef(null); + const suggestionRequestRef = useRef(0); + + const completedCount = nodes.filter((node) => node.completed).length; + const allComplete = completedCount === nodes.length; + const progress = Math.round((completedCount / nodes.length) * 100); + + const requestNodeSuggestions = useCallback( + async ( + skillNodes: SkillNode[], + skillName: string, + skillDescription: string, + ) => { + if (skillNodes.every((node) => node.completed)) { + setSuggestions([]); + setSuggestionSource("idle"); + return; + } + + const requestId = suggestionRequestRef.current + 1; + const activeIndex = skillNodes.findIndex((node) => !node.completed); + const fallbackIndex = + activeIndex === -1 + ? SKILL_NODE_DEFINITIONS.length - 1 + : activeIndex; + const expectedNodeKey = SKILL_NODE_DEFINITIONS[fallbackIndex].key; + suggestionRequestRef.current = requestId; + setSuggestions([]); + setSuggestionSource("loading"); + + try { + const response = await fetch("/api/skills/builder/suggestions", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + skillName, + skillDescription, + nodes: skillNodes, + }), + }); + const payload = (await response.json().catch(() => null)) as { + nodeKey?: SkillNode["key"]; + suggestions?: string[]; + source?: Exclude; + } | null; + if ( + !response.ok || + payload?.nodeKey !== expectedNodeKey || + !payload.suggestions?.length + ) { + throw new Error("节点建议生成失败"); + } + if (requestId !== suggestionRequestRef.current) return; + setSuggestions(payload.suggestions); + setSuggestionSource(payload.source ?? "fallback"); + } catch { + if (requestId !== suggestionRequestRef.current) return; + setSuggestions([ + ...SKILL_NODE_DEFINITIONS[fallbackIndex].suggestions, + ]); + setSuggestionSource("fallback"); + } + }, + [], + ); + + useEffect(() => { + async function load() { + try { + const statusRequest = fetch("/api/chat", { cache: "no-store" }); + + if (skillId) { + const [skillResponse, chatResponse] = await Promise.all([ + fetch(`/api/skills/${skillId}`, { cache: "no-store" }), + statusRequest, + ]); + if (!skillResponse.ok) throw new Error("Skill 不存在或已被删除"); + const skillPayload = (await skillResponse.json()) as { skill: Skill }; + const chatPayload = (await chatResponse.json()) as { + apiConfigured: boolean; + }; + setApiConfigured(chatPayload.apiConfigured); + setName(skillPayload.skill.name); + setDescription(skillPayload.skill.description); + setNodes(skillPayload.skill.nodes); + void requestNodeSuggestions( + skillPayload.skill.nodes, + skillPayload.skill.name, + skillPayload.skill.description, + ); + setMessages([ + createBuilderMessage( + "assistant", + `已载入「${skillPayload.skill.name}」。直接告诉我想补充或修改什么，我会判断应该更新哪些节点。`, + "constraints", + SKILL_NODE_DEFINITIONS.map((node) => node.key), + ), + ]); + } else { + const chatResponse = await statusRequest; + const chatPayload = (await chatResponse.json()) as { + apiConfigured: boolean; + }; + setApiConfigured(chatPayload.apiConfigured); + void requestNodeSuggestions( + createEmptyNodes(), + "未命名 Skill", + "", + ); + setMessages([ + createBuilderMessage( + "assistant", + `我们从使用时机开始，把想法一步步变成可执行 Skill。\n\n${SKILL_NODE_DEFINITIONS[0].prompt}`, + "trigger", + ), + ]); + } + } catch (error) { + toast.error(error instanceof Error ? error.message : "加载失败"); + } finally { + setLoading(false); + } + } + + void load(); + }, [requestNodeSuggestions, skillId]); + + useEffect( + () => () => { + connectionAbortRef.current?.abort(); + }, + [], + ); + + const currentIndex = useMemo(() => { + const index = nodes.findIndex((node) => !node.completed); + return index === -1 ? nodes.length - 1 : index; + }, [nodes]); + const activeNode = SKILL_NODE_DEFINITIONS[currentIndex].key; + + async function sendBuilderMessage(content: string) { + if (streaming) return; + const userMessage = createBuilderMessage("user", content, activeNode, []); + const assistantMessage = createBuilderMessage( + "assistant", + "", + activeNode, + [], + ); + const previousMessages = [...messages]; + + setSendFailure(null); + setMessages((items) => [...items, userMessage, assistantMessage]); + setStreaming(true); + setStatus("思考中"); + + const clientRequestId = `builder_run_${crypto.randomUUID()}`; + const controller = new AbortController(); + connectionAbortRef.current = controller; + builderRunIdRef.current = clientRequestId; + let cursor = 0; + let terminal = false; + + try { + for (let attempt = 0; attempt < 10 && !terminal; attempt += 1) { + try { + const response = await fetch("/api/skills/builder", { + method: "POST", + headers: { "Content-Type": "application/json" }, + signal: controller.signal, + body: JSON.stringify({ + clientRequestId, + afterSeq: cursor, + skillId: skillId ?? null, + message: content, + skillName: name, + skillDescription: description, + nodes, + messages: previousMessages.map((message) => ({ + role: message.role, + content: message.content, + })), + }), + }); + + await consumeSse(response, (event: SseEvent) => { + if (typeof event.seq === "number") { + cursor = Math.max(cursor, event.seq); + } + if (event.type === "status") setStatus(event.label); + if (event.type === "builder_update") { + setName(event.evaluation.skillName); + setDescription(event.evaluation.skillDescription); + setNodes(event.evaluation.nodes); + const suggestionsMatchNode = + event.evaluation.suggestionNodeKey === + event.evaluation.activeNode; + setSuggestions( + suggestionsMatchNode + ? event.evaluation.suggestions + : [ + ...SKILL_NODE_DEFINITIONS.find( + (definition) => + definition.key === event.evaluation.activeNode, + )!.suggestions, + ], + ); + setSuggestionSource( + suggestionsMatchNode + ? apiConfigured + ? "ai" + : "demo" + : "fallback", + ); + setMessages((items) => + items + .map((message) => + message.id === assistantMessage.id + ? { + ...message, + nodeKey: + event.evaluation.updatedNodeKeys[0] ?? + event.evaluation.activeNode, + updatedNodeKeys: event.evaluation.updatedNodeKeys, + } + : message, + ) + .filter( + (message) => + event.evaluation.activeNode === activeNode || + message.id === assistantMessage.id, + ), + ); + } + if (event.type === "token") { + setMessages((items) => + items.map((message) => + message.id === assistantMessage.id + ? { ...message, content: message.content + event.token } + : message, + ), + ); + } + if (event.type === "complete") terminal = true; + if (event.type === "aborted") { + terminal = true; + setMessages((items) => + items.map((message) => + message.id === assistantMessage.id + ? { + ...message, + content: message.content || "这轮节点整理已中止。", + } + : message, + ), + ); + } + if (event.type === "error") { + terminal = true; + setMessages((items) => + items.filter( + (message) => + message.id !== userMessage.id && + message.id !== assistantMessage.id, + ), + ); + setSendFailure({ content, detail: event.message }); + } + }); + + if (!terminal) { + setStatus("连接中断，正在恢复"); + await new Promise((resolve) => + setTimeout(resolve, Math.min(600 * 2 ** attempt, 4_000)), + ); + } + } catch { + if (controller.signal.aborted) break; + setStatus("连接中断，正在恢复"); + await new Promise((resolve) => + setTimeout(resolve, Math.min(600 * 2 ** attempt, 4_000)), + ); + } + } + + if (!terminal && !controller.signal.aborted) { + throw new Error("暂时无法恢复节点连接，请重新发送这条消息"); + } + } catch (error) { + if (!controller.signal.aborted) { + const message = + error instanceof Error ? error.message : "节点整理失败"; + setMessages((items) => + items.filter( + (item) => + item.id !== userMessage.id && item.id !== assistantMessage.id, + ), + ); + setSendFailure({ content, detail: message }); + } + } finally { + connectionAbortRef.current = null; + builderRunIdRef.current = null; + setStreaming(false); + setStatus(""); + } + } + + function stop() { + const id = builderRunIdRef.current; + if (!id) return; + setStatus("正在中止本轮节点整理"); + void fetch(`/api/skills/builder/${id}/stop`, { method: "POST" }).catch( + () => { + connectionAbortRef.current?.abort(); + setStreaming(false); + setStatus(""); + toast.error("中止请求失败"); + }, + ); + } + + async function save() { + if (!allComplete || saving) return; + setSaving(true); + try { + const response = await fetch( + skillId ? `/api/skills/${skillId}` : "/api/skills", + { + method: skillId ? "PUT" : "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ + name, + description, + nodes, + status: "active", + }), + }, + ); + const payload = (await response.json().catch(() => null)) as { + skill?: Skill; + error?: string; + } | null; + if (!response.ok) throw new Error(payload?.error ?? "保存失败"); + toast.success(skillId ? "Skill 已更新" : "Skill 已创建"); + setTimeout(() => router.push("/"), 350); + } catch (error) { + toast.error(error instanceof Error ? error.message : "保存失败"); + } finally { + setSaving(false); + } + } + + return ( +
+ + +
+
+
+
+
+
+
+

+ {name} +

+ + {skillId ? "Edit" : "New"} + +
+

+ {description || "通过对话定义一套可复用的工作规范"} +

+
+
+
+
+ + {apiConfigured ? "AI 判断模式" : "本地演示模式"} +
+ +
+
+
+ +
+
+ + 生成步骤： + + {nodes.map((node, index) => { + const selected = node.key === activeNode && !node.completed; + return ( +
+
+ + {index + 1} + + {node.title} +
+ {index < nodes.length - 1 && ( + + )} +
+ ); + })} +
+
+ + + void (sendFailure && sendBuilderMessage(sendFailure.content)) + } + onDismissFailure={() => setSendFailure(null)} + /> +
+ + +
+
+ ); +} diff --git a/src/components/skill-picker.tsx b/src/components/skill-picker.tsx new file mode 100644 index 0000000..2402e49 --- /dev/null +++ b/src/components/skill-picker.tsx @@ -0,0 +1,421 @@ +"use client"; + +import { + DndContext, + PointerSensor, + closestCenter, + useSensor, + useSensors, + type DragEndEvent, +} from "@dnd-kit/core"; +import { + SortableContext, + arrayMove, + useSortable, + verticalListSortingStrategy, +} from "@dnd-kit/sortable"; +import { CSS } from "@dnd-kit/utilities"; +import { + Check, + GripVertical, + Pencil, + Plus, + Search, + Trash2, + X, +} from "lucide-react"; +import { useRouter } from "next/navigation"; +import { useMemo, useState } from "react"; +import { toast } from "sonner"; +import type { Skill } from "@/lib/types"; +import { cn } from "@/lib/utils"; +import { Button } from "@/components/ui/button"; +import { + AlertDialog, + AlertDialogAction, + AlertDialogCancel, + AlertDialogContent, + AlertDialogDescription, + AlertDialogFooter, + AlertDialogHeader, + AlertDialogTitle, +} from "@/components/ui/alert-dialog"; +import { + Dialog, + DialogClose, + DialogContent, + DialogDescription, + DialogTitle, +} from "@/components/ui/dialog"; + +function SortableSkill({ + skill, + index, + onRemove, +}: { + skill: Skill; + index: number; + onRemove: () => void; +}) { + const { + attributes, + listeners, + setNodeRef, + transform, + transition, + isDragging, + } = useSortable({ id: skill.id }); + + return ( +
+ + + + + {String(index + 1).padStart(2, "0")} + +
+
{skill.name}
+
+ {skill.description} +
+
+ +
+ ); +} + +export function SkillPicker({ + open, + onOpenChange, + skills, + selectedIds, + onConfirm, + onSkillsChange, +}: { + open: boolean; + onOpenChange: (open: boolean) => void; + skills: Skill[]; + selectedIds: string[]; + onConfirm: (ids: string[]) => void; + onSkillsChange: (skills: Skill[]) => void; +}) { + const router = useRouter(); + const [workingIds, setWorkingIds] = useState(selectedIds); + const [query, setQuery] = useState(""); + const [deletingSkill, setDeletingSkill] = useState(null); + const sensors = useSensors( + useSensor(PointerSensor, { activationConstraint: { distance: 6 } }), + ); + + const filteredSkills = useMemo(() => { + const needle = query.trim().toLowerCase(); + if (!needle) return skills; + return skills.filter((skill) => + `${skill.name} ${skill.description}`.toLowerCase().includes(needle), + ); + }, [query, skills]); + + const selectedSkills = workingIds + .map((id) => skills.find((skill) => skill.id === id)) + .filter((skill): skill is Skill => Boolean(skill)); + + function toggleSkill(id: string) { + setWorkingIds((current) => + current.includes(id) + ? current.filter((item) => item !== id) + : [...current, id], + ); + } + + function handleDragEnd(event: DragEndEvent) { + const { active, over } = event; + if (!over || active.id === over.id) return; + setWorkingIds((items) => { + const oldIndex = items.indexOf(String(active.id)); + const newIndex = items.indexOf(String(over.id)); + if (oldIndex < 0 || newIndex < 0) return items; + return arrayMove(items, oldIndex, newIndex); + }); + } + + async function handleDelete(skill: Skill) { + try { + const response = await fetch(`/api/skills/${skill.id}`, { + method: "DELETE", + }); + if (!response.ok) { + const payload = (await response.json()) as { error?: string }; + throw new Error(payload.error ?? "删除失败"); + } + setWorkingIds((ids) => ids.filter((id) => id !== skill.id)); + onSkillsChange(skills.filter((item) => item.id !== skill.id)); + setDeletingSkill(null); + toast.success("Skill 已删除"); + } catch (error) { + toast.error(error instanceof Error ? error.message : "删除失败"); + } + } + + function openBuilder(path: string) { + onOpenChange(false); + router.push(path); + } + + return ( + <> + + +
+
+ + 选择本轮 Skill + + + 只有与问题相关的 Skill 才会被 AI 实际调用。 + +
+ + + +
+ +
+
+
+ + +
+ +
+
+ Skill 库 +
+ + {filteredSkills.length} 个可用 + +
+ +
+ {filteredSkills.map((skill) => { + const selected = workingIds.includes(skill.id); + return ( +
toggleSkill(skill.id)} + > +
+ {selected && } +
+
+
+ {skill.name} +
+
+ {skill.description} +
+
+
+ + +
+
+ ); + })} + + {filteredSkills.length === 0 && ( +
+
+
+ 没有匹配的 Skill +
+

+ 换个关键词，或创建一套新规范。 +

+
+
+ )} +
+
+ +
+
+
+
+ 执行顺序 +
+

+ 已选择 · {selectedSkills.length} +

+
+ 拖动调整顺序 +
+ +
+ {selectedSkills.length > 0 ? ( + + +
+ {selectedSkills.map((skill, index) => ( + + setWorkingIds((ids) => + ids.filter((id) => id !== skill.id), + ) + } + /> + ))} +
+ + + ) : ( +
+
+
+ +
+
+ 还没有选择 +
+

+ 从左侧添加 Skill。顺序会显示在输入框上方。 +

+
+
+ )} +
+ +
+ + +
+
+
+ + + + !isOpen && setDeletingSkill(null)} + > + + + 删除「{deletingSkill?.name}」？ + + 这会永久删除该 Skill，并同时从当前已选择列表中移除。 + + + + 取消 + + deletingSkill && void handleDelete(deletingSkill) + } + > + 删除 Skill + + + + + + ); +} diff --git a/src/components/skill-progress.tsx b/src/components/skill-progress.tsx new file mode 100644 index 0000000..65b6ab2 --- /dev/null +++ b/src/components/skill-progress.tsx @@ -0,0 +1,84 @@ +"use client"; + +import { useEffect, useRef } from "react"; +import { Check, Hourglass } from "lucide-react"; +import type { SkillNode, SkillNodeKey } from "@/lib/types"; +import { cn } from "@/lib/utils"; + +export function SkillProgress({ + nodes, + activeNode, +}: { + nodes: SkillNode[]; + activeNode: SkillNodeKey; +}) { + const activeStepRef = useRef(null); + const completedCount = nodes.filter((node) => node.completed).length; + const scrollSignal = `${activeNode}:${completedCount}`; + + useEffect(() => { + activeStepRef.current?.scrollIntoView({ + behavior: "smooth", + block: "center", + }); + }, [scrollSignal]); + + return ( +
+ {nodes.map((node) => { + const active = node.key === activeNode && !node.completed; + const complete = node.completed; + + return ( +
+
+

+ {node.title} +

+ + {complete && } + {complete ? "已完成" : active ? "进行中" : "未开始"} + +
+ +
+ {complete ? ( +

{node.content}

+ ) : active ? ( + + ) : ( + - + )} +
+
+ ); + })} +
+ ); +} diff --git a/src/components/skill-tag.tsx b/src/components/skill-tag.tsx new file mode 100644 index 0000000..0cdc733 --- /dev/null +++ b/src/components/skill-tag.tsx @@ -0,0 +1,100 @@ +"use client"; + +import { + CheckCircle2, + CircleMinus, + GripVertical, + LoaderCircle, + Sparkles, + X, +} from "lucide-react"; +import { cn } from "@/lib/utils"; + +export function SkillTag({ + name, + index, + onRemove, + active = false, + muted = false, + draggable = false, + status = "selected", + showStatusLabel = true, + className, +}: { + name: string; + index?: number; + onRemove?: () => void; + active?: boolean; + muted?: boolean; + draggable?: boolean; + status?: "selected" | "checking" | "used" | "unused"; + showStatusLabel?: boolean; + className?: string; +}) { + return ( + + {draggable ? ( + + ) : active ? ( + + ) : null} + {typeof index === "number" && ( + + {String(index + 1).padStart(2, "0")} + + )} + {name} + {showStatusLabel && status === "checking" && ( + + + 判断中 + + )} + {showStatusLabel && status === "used" && ( + + + 已触发 + + )} + {showStatusLabel && status === "unused" && ( + + + 未触发 + + )} + {onRemove && ( + + )} + + ); +} diff --git a/src/components/streaming-markdown.tsx b/src/components/streaming-markdown.tsx new file mode 100644 index 0000000..77a9fc8 --- /dev/null +++ b/src/components/streaming-markdown.tsx @@ -0,0 +1,310 @@ +"use client"; + +import { useMessagePartText } from "@assistant-ui/react"; +import { + createContext, + useContext, + useEffect, + useRef, + useState, + type ComponentPropsWithoutRef, + type ReactNode, +} from "react"; +import ReactMarkdown, { + type Components, + type ExtraProps, +} from "react-markdown"; +import remarkGfm from "remark-gfm"; +import { cn } from "@/lib/utils"; + +const graphemeSegmenter = new Intl.Segmenter("zh-CN", { + granularity: "grapheme", +}); +const sentenceEnding = /[。！？!?]/; +const phraseEnding = /[，、；：,;:\n]/; +const minimumChunkSize = 6; +const preferredChunkSize = 12; +const maximumChunkSize = 18; +const revealIntervalMs = 10; + +const TailRevealContext = createContext({ + animate: false, + textLength: 0, +}); + +function useTailReveal(node: ExtraProps["node"]) { + const { animate, textLength } = useContext(TailRevealContext); + const endOffset = node?.position?.end.offset ?? -1; + return animate && endOffset >= textLength - 1; +} + +function StreamingParagraph({ + node, + className, + children, + ...props +}: ComponentPropsWithoutRef<"p"> & ExtraProps) { + const reveal = useTailReveal(node); + return ( +

+ {children} +

+ ); +} + +function StreamingUnorderedList({ + node, + className, + children, + ...props +}: ComponentPropsWithoutRef<"ul"> & ExtraProps) { + const reveal = useTailReveal(node); + return ( +
    + {children} +
+ ); +} + +function StreamingOrderedList({ + node, + className, + children, + ...props +}: ComponentPropsWithoutRef<"ol"> & ExtraProps) { + const reveal = useTailReveal(node); + return ( +
    + {children} +
+ ); +} + +function StreamingPreformatted({ + node, + className, + children, + ...props +}: ComponentPropsWithoutRef<"pre"> & ExtraProps) { + const reveal = useTailReveal(node); + return ( + 
+      {children}
+
+ ); +} + +function StreamingHeadingOne({ + node, + className, + children, + ...props +}: ComponentPropsWithoutRef<"h1"> & ExtraProps) { + const reveal = useTailReveal(node); + return ( +

+ {children} +

+ ); +} + +function StreamingHeadingTwo({ + node, + className, + children, + ...props +}: ComponentPropsWithoutRef<"h2"> & ExtraProps) { + const reveal = useTailReveal(node); + return ( +

+ {children} +

+ ); +} + +function StreamingHeadingThree({ + node, + className, + children, + ...props +}: ComponentPropsWithoutRef<"h3"> & ExtraProps) { + const reveal = useTailReveal(node); + return ( +

+ {children} +

+ ); +} + +function StreamingTable({ + node, + className, + children, + ...props +}: ComponentPropsWithoutRef<"table"> & ExtraProps) { + const reveal = useTailReveal(node); + return ( + + {children} +
+ ); +} + +const streamingComponents = { + p: StreamingParagraph, + h1: StreamingHeadingOne, + h2: StreamingHeadingTwo, + h3: StreamingHeadingThree, + ul: StreamingUnorderedList, + ol: StreamingOrderedList, + pre: StreamingPreformatted, + table: StreamingTable, +} satisfies Components; + +function nextRevealChunk(backlog: string, sourceRunning: boolean) { + const graphemes = Array.from( + graphemeSegmenter.segment(backlog), + ({ segment }) => segment, + ); + if (graphemes.length === 0) return ""; + if ( + sourceRunning && + graphemes.length < minimumChunkSize && + !sentenceEnding.test(graphemes.at(-1) ?? "") && + !phraseEnding.test(graphemes.at(-1) ?? "") + ) { + return ""; + } + + const upperBound = Math.min(maximumChunkSize, graphemes.length); + const lowerBound = Math.min(minimumChunkSize, upperBound); + let chunkSize = Math.min(preferredChunkSize, upperBound); + + for (let index = lowerBound - 1; index < upperBound; index += 1) { + const grapheme = graphemes[index]; + if (sentenceEnding.test(grapheme)) { + chunkSize = index + 1; + break; + } + if ( + phraseEnding.test(grapheme) && + index + 1 <= preferredChunkSize + 3 + ) { + chunkSize = index + 1; + break; + } + } + + return graphemes.slice(0, chunkSize).join(""); +} + +function useSegmentReveal() { + const source = useMessagePartText(); + const targetRef = useRef(source.text); + const sourceRunningRef = useRef(source.status.type === "running"); + const [displayedText, setDisplayedText] = useState( + source.status.type === "running" ? "" : source.text, + ); + + useEffect(() => { + targetRef.current = source.text; + sourceRunningRef.current = source.status.type === "running"; + }, [source.status.type, source.text]); + + useEffect(() => { + const interval = window.setInterval(() => { + setDisplayedText((currentText) => { + const targetText = targetRef.current; + if (!targetText.startsWith(currentText)) { + return sourceRunningRef.current ? "" : targetText; + } + if ( + window.matchMedia("(prefers-reduced-motion: reduce)").matches + ) { + return targetText; + } + + const backlog = targetText.slice(currentText.length); + if (!backlog) return currentText; + const chunk = nextRevealChunk(backlog, sourceRunningRef.current); + return chunk ? currentText + chunk : currentText; + }); + }, revealIntervalMs); + + return () => window.clearInterval(interval); + }, []); + + return { + text: displayedText, + status: + displayedText === source.text + ? source.status + : ({ type: "running" } as const), + sourceRunning: source.status.type === "running", + }; +} + +export function StreamingMarkdown({ + pending, + className, +}: { + pending: ReactNode; + className?: string; +}) { + const { text, status, sourceRunning } = useSegmentReveal(); + const [wasStreamed] = useState(sourceRunning); + const animateTail = wasStreamed || status.type === "running"; + + if (!text && status.type === "running") return pending; + if (!text) return null; + + return ( + +
+ + {text} + +
+ + ); +} diff --git a/src/components/tool-fallback.tsx b/src/components/tool-fallback.tsx new file mode 100644 index 0000000..b3e52bf --- /dev/null +++ b/src/components/tool-fallback.tsx @@ -0,0 +1,612 @@ +"use client"; + +import { memo, useCallback, useRef, useState } from "react"; +import { + AlertCircleIcon, + CheckIcon, + ChevronDownIcon, + LoaderIcon, + XCircleIcon, +} from "lucide-react"; +import { + useScrollLock, + useToolCallElapsed, + type ToolApprovalOption, + type ToolCallMessagePart, + type ToolCallMessagePartProps, + type ToolCallMessagePartStatus, + type ToolCallMessagePartComponent, +} from "@assistant-ui/react"; +import { + Collapsible, + CollapsibleContent, + CollapsibleTrigger, +} from "@/components/ui/collapsible"; +import { cn } from "@/lib/utils"; +import { Button } from "@/components/ui/button"; + +const ANIMATION_DURATION = 200; + +const pressable = "active:scale-[0.98]"; + +export type ToolFallbackRootProps = Omit< + React.ComponentProps, + "open" | "onOpenChange" +> & { + open?: boolean; + onOpenChange?: (open: boolean) => void; + defaultOpen?: boolean; +}; + +function ToolFallbackRoot({ + className, + open: controlledOpen, + onOpenChange: controlledOnOpenChange, + defaultOpen = false, + children, + ...props +}: ToolFallbackRootProps) { + const collapsibleRef = useRef(null); + const [uncontrolledOpen, setUncontrolledOpen] = useState(defaultOpen); + const lockScroll = useScrollLock(collapsibleRef, ANIMATION_DURATION); + + const isControlled = controlledOpen !== undefined; + const isOpen = isControlled ? controlledOpen : uncontrolledOpen; + + const handleOpenChange = useCallback( + (open: boolean) => { + lockScroll(); + if (!isControlled) { + setUncontrolledOpen(open); + } + controlledOnOpenChange?.(open); + }, + [lockScroll, isControlled, controlledOnOpenChange], + ); + + return ( + + {children} + + ); +} + +type ToolStatus = ToolCallMessagePartStatus["type"]; + +const statusIconMap: Record = { + running: LoaderIcon, + complete: CheckIcon, + incomplete: XCircleIcon, + "requires-action": AlertCircleIcon, +}; + +const formatToolDuration = (ms: number) => { + if (ms < 1000) return "<1s"; + const seconds = ms / 1000; + if (seconds < 10) return `${(Math.floor(seconds * 10) / 10).toFixed(1)}s`; + if (seconds < 60) return `${Math.floor(seconds)}s`; + return `${Math.floor(seconds / 60)}m ${Math.floor(seconds % 60)}s`; +}; + +function ToolFallbackDuration({ + className, + ...props +}: React.ComponentProps<"span">) { + const elapsedMs = useToolCallElapsed(); + if (elapsedMs === undefined) return null; + + return ( + + {formatToolDuration(elapsedMs)} + + ); +} + +function ToolFallbackTrigger({ + toolName, + status, + className, + ...props +}: React.ComponentProps & { + toolName: string; + status?: ToolCallMessagePartStatus; +}) { + const statusType = status?.type ?? "complete"; + const isRunning = statusType === "running"; + const isCancelled = + status?.type === "incomplete" && status.reason === "cancelled"; + + const Icon = statusIconMap[statusType]; + const label = isCancelled + ? "已中止 Skill" + : isRunning + ? "正在使用 Skill" + : statusType === "incomplete" + ? "Skill 调用失败" + : "已使用 Skill"; + + return ( + + + + + {label}: {toolName} + + {isRunning && ( + + {label}: {toolName} + + )} + + + + + ); +} + +function ToolFallbackContent({ + className, + children, + ...props +}: React.ComponentProps) { + return ( + +
+ {children} +
+ + ); +} + +function ToolFallbackArgs({ + argsText, + className, + ...props +}: React.ComponentProps<"div"> & { + argsText?: string; +}) { + if (!argsText) return null; + + return ( +
+ 
+        {argsText}
+
+
+ ); +} + +function ToolFallbackResult({ + result, + className, + ...props +}: React.ComponentProps<"div"> & { + result?: unknown; +}) { + if (result === undefined) return null; + + return ( +
+

+ 执行结果 +

+ 
+        {typeof result === "string" ? result : JSON.stringify(result, null, 2)}
+
+
+ ); +} + +function ToolFallbackError({ + status, + className, + ...props +}: React.ComponentProps<"div"> & { + status?: ToolCallMessagePartStatus; +}) { + if (status?.type !== "incomplete") return null; + + const error = status.error; + const errorText = error + ? typeof error === "string" + ? error + : JSON.stringify(error) + : null; + + if (!errorText) return null; + + const isCancelled = status.reason === "cancelled"; + const headerText = isCancelled ? "中止原因" : "错误"; + + return ( +
+

+ {headerText} +

+

+ {errorText} +

+
+ ); +} + +const APPROVED_RESULT = "Approved by user"; +const DENIED_RESULT = "User denied tool execution"; + +const APPROVAL_OPTION_DEFAULT_LABELS: Record = { + "allow-once": "Allow", + "allow-always": "Always allow", + "reject-once": "Deny", + "reject-always": "Always deny", +}; + +const isAllowKind = (kind: string) => + kind === "allow-once" || kind === "allow-always"; + +const approvalOptionLabel = (option: ToolApprovalOption) => + option.label ?? + (Object.hasOwn(APPROVAL_OPTION_DEFAULT_LABELS, option.kind) + ? APPROVAL_OPTION_DEFAULT_LABELS[option.kind] + : undefined) ?? + option.id; + +function ToolFallbackApproval({ + className, + addResult, + resume, + interrupt, + approval, + respondToApproval, + ...props +}: React.ComponentProps<"div"> & + Partial< + Pick + > & { + interrupt?: ToolCallMessagePart["interrupt"]; + approval?: ToolCallMessagePart["approval"]; + }) { + const [submitted, setSubmitted] = useState(false); + const [confirmingId, setConfirmingId] = useState(null); + + if ( + approval != null && + (approval.approved !== undefined || approval.resolution !== undefined) + ) + return null; + + // Custom (`_`-prefixed) kinds cannot be resolved to a boolean by the kit; + // hosts using custom kinds render their own bar. A declared option list is + // a host constraint: the kit never adds an approval path beyond it, but + // always preserves a refusal path. + const declaredOptions = respondToApproval ? approval?.options : undefined; + const options = declaredOptions?.filter((o) => + Object.hasOwn(APPROVAL_OPTION_DEFAULT_LABELS, o.kind), + ); + + const respond = (approved: boolean) => { + if (submitted) return; + if ( + approval != null && + approval.approved === undefined && + respondToApproval + ) { + respondToApproval({ approved }); + } else if (interrupt) { + resume?.({ approved }); + } else { + addResult?.(approved ? APPROVED_RESULT : DENIED_RESULT); + } + setSubmitted(true); + }; + + const respondWithOption = (option: ToolApprovalOption) => { + if (submitted) return; + respondToApproval?.({ optionId: option.id }); + setSubmitted(true); + setConfirmingId(null); + }; + + const handleOption = (option: ToolApprovalOption) => { + if (option.confirm) { + setConfirmingId(option.id); + } else { + respondWithOption(option); + } + }; + + const confirming = + confirmingId != null + ? options?.find((o) => o.id === confirmingId) + : undefined; + + if (confirming) { + const confirmMeta = + typeof confirming.confirm === "object" ? confirming.confirm : undefined; + const confirmDescription = + confirmMeta?.description ?? confirming.description; + return ( +
+

+ {confirmMeta?.title ?? `${approvalOptionLabel(confirming)}?`} +

+ {confirmDescription && ( +

+ {confirmDescription} +

+ )} + {confirming.grants && confirming.grants.length > 0 && ( +
    + {confirming.grants.map((grant) => ( +
  • + + {grant} + +
    • + ))} +
+ )} +
+ + +
+
+ ); + } + + if (declaredOptions && declaredOptions.length > 0) { + const allowOptions = options?.filter((o) => isAllowKind(o.kind)) ?? []; + const rejectOptions = options?.filter((o) => !isAllowKind(o.kind)) ?? []; + return ( +
+ {[...allowOptions, ...rejectOptions].map((option) => ( + + ))} + {rejectOptions.length === 0 && ( + + )} +
+ ); + } + + return ( +
+ + +
+ ); +} + +const ToolFallbackImpl: ToolCallMessagePartComponent = ({ + toolName, + argsText, + result, + status, + addResult, + resume, + interrupt, + approval, + respondToApproval, +}) => { + const isCancelled = + status?.type === "incomplete" && status.reason === "cancelled"; + const isRequiresAction = status?.type === "requires-action"; + + const [open, setOpen] = useState(isRequiresAction); + const [prevRequiresAction, setPrevRequiresAction] = + useState(isRequiresAction); + if (isRequiresAction !== prevRequiresAction) { + setPrevRequiresAction(isRequiresAction); + if (isRequiresAction) setOpen(true); + } + + return ( + + + + + + {isRequiresAction && ( + + )} + {!isCancelled && } + + + ); +}; + +const ToolFallback = memo( + ToolFallbackImpl, +) as unknown as ToolCallMessagePartComponent & { + Root: typeof ToolFallbackRoot; + Trigger: typeof ToolFallbackTrigger; + Content: typeof ToolFallbackContent; + Args: typeof ToolFallbackArgs; + Result: typeof ToolFallbackResult; + Error: typeof ToolFallbackError; + Approval: typeof ToolFallbackApproval; +}; + +ToolFallback.displayName = "ToolFallback"; +ToolFallback.Root = ToolFallbackRoot; +ToolFallback.Trigger = ToolFallbackTrigger; +ToolFallback.Content = ToolFallbackContent; +ToolFallback.Args = ToolFallbackArgs; +ToolFallback.Result = ToolFallbackResult; +ToolFallback.Error = ToolFallbackError; +ToolFallback.Approval = ToolFallbackApproval; + +export { + ToolFallback, + ToolFallbackRoot, + ToolFallbackTrigger, + ToolFallbackContent, + ToolFallbackArgs, + ToolFallbackResult, + ToolFallbackError, + ToolFallbackApproval, +}; diff --git a/src/components/ui/alert-dialog.tsx b/src/components/ui/alert-dialog.tsx new file mode 100644 index 0000000..dad3273 --- /dev/null +++ b/src/components/ui/alert-dialog.tsx @@ -0,0 +1,196 @@ +"use client" + +import * as React from "react" +import { AlertDialog as AlertDialogPrimitive } from "radix-ui" + +import { cn } from "@/lib/utils" +import { Button } from "@/components/ui/button" + +function AlertDialog({ + ...props +}: React.ComponentProps) { + return +} + +function AlertDialogTrigger({ + ...props +}: React.ComponentProps) { + return ( + + ) +} + +function AlertDialogPortal({ + ...props +}: React.ComponentProps) { + return ( + + ) +} + +function AlertDialogOverlay({ + className, + ...props +}: React.ComponentProps) { + return ( + + ) +} + +function AlertDialogContent({ + className, + size = "default", + ...props +}: React.ComponentProps & { + size?: "default" | "sm" +}) { + return ( + + + + + ) +} + +function AlertDialogHeader({ + className, + ...props +}: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function AlertDialogFooter({ + className, + ...props +}: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function AlertDialogTitle({ + className, + ...props +}: React.ComponentProps) { + return ( + + ) +} + +function AlertDialogDescription({ + className, + ...props +}: React.ComponentProps) { + return ( + + ) +} + +function AlertDialogMedia({ + className, + ...props +}: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function AlertDialogAction({ + className, + variant = "default", + size = "default", + ...props +}: React.ComponentProps & + Pick, "variant" | "size">) { + return ( + + ) +} + +function AlertDialogCancel({ + className, + variant = "outline", + size = "default", + ...props +}: React.ComponentProps & + Pick, "variant" | "size">) { + return ( + + ) +} + +export { + AlertDialog, + AlertDialogAction, + AlertDialogCancel, + AlertDialogContent, + AlertDialogDescription, + AlertDialogFooter, + AlertDialogHeader, + AlertDialogMedia, + AlertDialogOverlay, + AlertDialogPortal, + AlertDialogTitle, + AlertDialogTrigger, +} diff --git a/src/components/ui/button.tsx b/src/components/ui/button.tsx new file mode 100644 index 0000000..4d38506 --- /dev/null +++ b/src/components/ui/button.tsx @@ -0,0 +1,64 @@ +import * as React from "react" +import { cva, type VariantProps } from "class-variance-authority" +import { Slot } from "radix-ui" + +import { cn } from "@/lib/utils" + +const buttonVariants = cva( + "inline-flex shrink-0 items-center justify-center gap-2 rounded-md text-sm font-medium whitespace-nowrap transition-all outline-none focus-visible:border-ring focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:pointer-events-none disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4", + { + variants: { + variant: { + default: "bg-primary text-primary-foreground hover:bg-primary/90", + destructive: + "bg-destructive text-white hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:bg-destructive/60 dark:focus-visible:ring-destructive/40", + outline: + "border bg-background shadow-xs hover:bg-accent hover:text-accent-foreground dark:border-input dark:bg-input/30 dark:hover:bg-input/50", + secondary: + "bg-secondary text-secondary-foreground hover:bg-secondary/80", + ghost: + "hover:bg-accent hover:text-accent-foreground dark:hover:bg-accent/50", + link: "text-primary underline-offset-4 hover:underline", + }, + size: { + default: "h-9 px-4 py-2 has-[>svg]:px-3", + xs: "h-6 gap-1 rounded-md px-2 text-xs has-[>svg]:px-1.5 [&_svg:not([class*='size-'])]:size-3", + sm: "h-8 gap-1.5 rounded-md px-3 has-[>svg]:px-2.5", + lg: "h-10 rounded-md px-6 has-[>svg]:px-4", + icon: "size-9", + "icon-xs": "size-6 rounded-md [&_svg:not([class*='size-'])]:size-3", + "icon-sm": "size-8", + "icon-lg": "size-10", + }, + }, + defaultVariants: { + variant: "default", + size: "default", + }, + } +) + +function Button({ + className, + variant = "default", + size = "default", + asChild = false, + ...props +}: React.ComponentProps<"button"> & + VariantProps & { + asChild?: boolean + }) { + const Comp = asChild ? Slot.Root : "button" + + return ( + + ) +} + +export { Button, buttonVariants } diff --git a/src/components/ui/collapsible.tsx b/src/components/ui/collapsible.tsx new file mode 100644 index 0000000..2f7a4e7 --- /dev/null +++ b/src/components/ui/collapsible.tsx @@ -0,0 +1,33 @@ +"use client" + +import { Collapsible as CollapsiblePrimitive } from "radix-ui" + +function Collapsible({ + ...props +}: React.ComponentProps) { + return +} + +function CollapsibleTrigger({ + ...props +}: React.ComponentProps) { + return ( + + ) +} + +function CollapsibleContent({ + ...props +}: React.ComponentProps) { + return ( + + ) +} + +export { Collapsible, CollapsibleTrigger, CollapsibleContent } diff --git a/src/components/ui/dialog.tsx b/src/components/ui/dialog.tsx new file mode 100644 index 0000000..84bdef4 --- /dev/null +++ b/src/components/ui/dialog.tsx @@ -0,0 +1,158 @@ +"use client" + +import * as React from "react" +import { XIcon } from "lucide-react" +import { Dialog as DialogPrimitive } from "radix-ui" + +import { cn } from "@/lib/utils" +import { Button } from "@/components/ui/button" + +function Dialog({ + ...props +}: React.ComponentProps) { + return +} + +function DialogTrigger({ + ...props +}: React.ComponentProps) { + return +} + +function DialogPortal({ + ...props +}: React.ComponentProps) { + return +} + +function DialogClose({ + ...props +}: React.ComponentProps) { + return +} + +function DialogOverlay({ + className, + ...props +}: React.ComponentProps) { + return ( + + ) +} + +function DialogContent({ + className, + children, + showCloseButton = true, + ...props +}: React.ComponentProps & { + showCloseButton?: boolean +}) { + return ( + + + + {children} + {showCloseButton && ( + + + Close + + )} + + + ) +} + +function DialogHeader({ className, ...props }: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function DialogFooter({ + className, + showCloseButton = false, + children, + ...props +}: React.ComponentProps<"div"> & { + showCloseButton?: boolean +}) { + return ( +
+ {children} + {showCloseButton && ( + + + + )} +
+ ) +} + +function DialogTitle({ + className, + ...props +}: React.ComponentProps) { + return ( + + ) +} + +function DialogDescription({ + className, + ...props +}: React.ComponentProps) { + return ( + + ) +} + +export { + Dialog, + DialogClose, + DialogContent, + DialogDescription, + DialogFooter, + DialogHeader, + DialogOverlay, + DialogPortal, + DialogTitle, + DialogTrigger, +} diff --git a/src/components/ui/input.tsx b/src/components/ui/input.tsx new file mode 100644 index 0000000..f1124ae --- /dev/null +++ b/src/components/ui/input.tsx @@ -0,0 +1,21 @@ +import * as React from "react" + +import { cn } from "@/lib/utils" + +function Input({ className, type, ...props }: React.ComponentProps<"input">) { + return ( + + ) +} + +export { Input } diff --git a/src/components/ui/popover.tsx b/src/components/ui/popover.tsx new file mode 100644 index 0000000..30058c4 --- /dev/null +++ b/src/components/ui/popover.tsx @@ -0,0 +1,89 @@ +"use client" + +import * as React from "react" +import { Popover as PopoverPrimitive } from "radix-ui" + +import { cn } from "@/lib/utils" + +function Popover({ + ...props +}: React.ComponentProps) { + return +} + +function PopoverTrigger({ + ...props +}: React.ComponentProps) { + return +} + +function PopoverContent({ + className, + align = "center", + sideOffset = 4, + ...props +}: React.ComponentProps) { + return ( + + + + ) +} + +function PopoverAnchor({ + ...props +}: React.ComponentProps) { + return +} + +function PopoverHeader({ className, ...props }: React.ComponentProps<"div">) { + return ( +
+ ) +} + +function PopoverTitle({ className, ...props }: React.ComponentProps<"h2">) { + return ( +
+ ) +} + +function PopoverDescription({ + className, + ...props +}: React.ComponentProps<"p">) { + return ( +

+ ) +} + +export { + Popover, + PopoverTrigger, + PopoverContent, + PopoverAnchor, + PopoverHeader, + PopoverTitle, + PopoverDescription, +} diff --git a/src/components/use-smooth-follow.ts b/src/components/use-smooth-follow.ts new file mode 100644 index 0000000..f9b8498 --- /dev/null +++ b/src/components/use-smooth-follow.ts @@ -0,0 +1,121 @@ +"use client"; + +import { + useCallback, + useEffect, + useRef, + useState, + type KeyboardEventHandler, + type PointerEventHandler, + type UIEventHandler, + type WheelEventHandler, +} from "react"; + +const bottomThreshold = 32; + +export function useSmoothFollow(active: boolean, resetKey: string) { + const [viewport, setViewport] = useState(null); + const followingRef = useRef(true); + const pointerActiveRef = useRef(false); + const animationFrameRef = useRef(null); + + const scrollToLatest = useCallback(() => { + if (!viewport || !followingRef.current) return; + if (animationFrameRef.current !== null) { + window.cancelAnimationFrame(animationFrameRef.current); + } + + animationFrameRef.current = window.requestAnimationFrame(() => { + animationFrameRef.current = null; + const reduceMotion = window.matchMedia( + "(prefers-reduced-motion: reduce)", + ).matches; + viewport.scrollTo({ + top: viewport.scrollHeight, + behavior: reduceMotion ? "auto" : "smooth", + }); + }); + }, [viewport]); + + useEffect(() => { + followingRef.current = true; + scrollToLatest(); + }, [resetKey, scrollToLatest]); + + useEffect(() => { + if (!active) return; + scrollToLatest(); + }, [active, scrollToLatest]); + + useEffect(() => { + if (!viewport) return; + + const observer = new MutationObserver(scrollToLatest); + observer.observe(viewport, { + childList: true, + subtree: true, + characterData: true, + }); + + return () => observer.disconnect(); + }, [scrollToLatest, viewport]); + + useEffect( + () => () => { + if (animationFrameRef.current !== null) { + window.cancelAnimationFrame(animationFrameRef.current); + } + }, + [], + ); + + const onScroll = useCallback>((event) => { + const element = event.currentTarget; + const distanceFromBottom = + element.scrollHeight - element.scrollTop - element.clientHeight; + + if (distanceFromBottom <= bottomThreshold) { + followingRef.current = true; + } else { + followingRef.current = false; + } + }, []); + + const onWheel = useCallback>((event) => { + if (event.deltaY < 0) { + followingRef.current = false; + } + }, []); + + const onPointerDown = useCallback>(() => { + pointerActiveRef.current = true; + }, []); + + const onPointerUp = useCallback>(() => { + pointerActiveRef.current = false; + }, []); + + const onKeyDown = useCallback>( + (event) => { + if ( + event.key === "ArrowUp" || + event.key === "PageUp" || + event.key === "Home" + ) { + followingRef.current = false; + } + }, + [], + ); + + return { + ref: setViewport, + onScroll, + onWheel, + onPointerDown, + onPointerUp, + onPointerCancel: onPointerUp, + onPointerLeave: onPointerUp, + onKeyDown, + }; +} diff --git a/src/lib/api.ts b/src/lib/api.ts new file mode 100644 index 0000000..888648c --- /dev/null +++ b/src/lib/api.ts @@ -0,0 +1,17 @@ +import { ZodError } from "zod"; + +export function apiError(error: unknown, fallback = "请求处理失败") { + if (error instanceof ZodError) { + return Response.json( + { + error: "请求数据不完整", + details: error.issues.map((issue) => issue.message), + }, + { status: 400 }, + ); + } + + const message = error instanceof Error ? error.message : fallback; + return Response.json({ error: message }, { status: 500 }); +} + diff --git a/src/lib/builder-runs.ts b/src/lib/builder-runs.ts new file mode 100644 index 0000000..958f636 --- /dev/null +++ b/src/lib/builder-runs.ts @@ -0,0 +1,129 @@ +import { evaluateBuilderTurn, hasDeepSeekApiKey } from "@/lib/deepseek"; +import type { + BuilderEvaluation, + SkillNode, + SseEvent, +} from "@/lib/types"; + +type BuilderRunInput = { + clientRequestId: string; + message: string; + nodes: SkillNode[]; + skillName: string; + skillDescription: string; + messages: Array<{ role: "user" | "assistant"; content: string }>; +}; + +type BuilderRunState = { + id: string; + status: "running" | "complete" | "stopped" | "error"; + events: SseEvent[]; + controller: AbortController; +}; + +const globalForBuilderRuns = globalThis as unknown as { + skillLoomBuilderRuns?: Map; +}; + +const builderRuns = + globalForBuilderRuns.skillLoomBuilderRuns ?? + new Map(); +globalForBuilderRuns.skillLoomBuilderRuns = builderRuns; + +function emit(run: BuilderRunState, event: SseEvent) { + run.events.push({ ...event, seq: run.events.length + 1 } as SseEvent); +} + +function scheduleCleanup(id: string) { + const timeout = setTimeout(() => builderRuns.delete(id), 5 * 60_000); + timeout.unref(); +} + +export function getOrStartBuilderRun(input: BuilderRunInput) { + const existing = builderRuns.get(input.clientRequestId); + if (existing) return existing; + + const run: BuilderRunState = { + id: input.clientRequestId, + status: "running", + events: [], + controller: new AbortController(), + }; + builderRuns.set(run.id, run); + + emit(run, { + type: "status", + label: hasDeepSeekApiKey() + ? "思考中" + : "正在整理回复", + }); + + void (async () => { + try { + const evaluation = await evaluateBuilderTurn({ + message: input.message, + nodes: input.nodes, + skillName: input.skillName, + skillDescription: input.skillDescription, + messages: input.messages, + signal: run.controller.signal, + }); + + const reply = evaluation.reply; + emit(run, { + type: "builder_update", + evaluation: { + ...evaluation, + reply: "", + } satisfies BuilderEvaluation, + }); + + const chunks = reply.match(/[\s\S]{1,7}/g) ?? [reply]; + for (const token of chunks) { + if (run.controller.signal.aborted) { + throw new DOMException("Aborted", "AbortError"); + } + emit(run, { type: "token", token }); + await new Promise((resolve) => setTimeout(resolve, 18)); + } + + run.status = "complete"; + emit(run, { type: "complete" }); + } catch (error) { + const stopped = + run.controller.signal.aborted || + (error instanceof Error && error.name === "AbortError"); + run.status = stopped ? "stopped" : "error"; + emit( + run, + stopped + ? { type: "aborted" } + : { + type: "error", + message: + error instanceof Error ? error.message : "节点整理失败", + }, + ); + } finally { + scheduleCleanup(run.id); + } + })(); + + return run; +} + +export function getBuilderRunEvents(id: string, afterSeq: number) { + const run = builderRuns.get(id); + if (!run) return null; + return { + status: run.status, + events: run.events.filter((event) => (event.seq ?? 0) > afterSeq), + }; +} + +export function stopBuilderRun(id: string) { + const run = builderRuns.get(id); + if (!run) return false; + if (run.status === "running") run.controller.abort(); + return true; +} diff --git a/src/lib/chat-runs.ts b/src/lib/chat-runs.ts new file mode 100644 index 0000000..178da16 --- /dev/null +++ b/src/lib/chat-runs.ts @@ -0,0 +1,530 @@ +import { + buildSkillExplanationResponse, + buildChatSystemPrompt, + decideSkillContinuation, + decideSkillUsage, + demoChatResponse, + fallbackConversationTitle, + generateConversationTitle, + hasDeepSeekApiKey, + isSkillExplanationRequest, + streamTextCompletion, +} from "@/lib/deepseek"; +import { + appendChatRunEvent, + completeChatRunIfNotCancelled, + getConversation, + getChatRun, + getMessage, + isChatRunStopRequested, + requestChatRunStop, + setConversationContinuation, + setConversationTitleIfEmpty, + updateChatRunStatus, + updateMessage, + updateMessageUsage, +} from "@/lib/db"; +import { + addModelCallUsage, + createMessageUsage, + finalizeMessageUsage, +} from "@/lib/model-usage"; +import type { + ChatMessage, + ChatRunStatus, + ConversationContinuation, + ModelCallUsage, + Skill, +} from "@/lib/types"; + +type RunningChat = { + controller: AbortController; + timedOut: boolean; + stopContent?: string; +}; + +const globalForRuns = globalThis as unknown as { + skillLoomRuns?: Map; +}; + +const runningChats = globalForRuns.skillLoomRuns ?? new Map(); +globalForRuns.skillLoomRuns = runningChats; + +async function streamDemo( + content: string, + signal: AbortSignal, + onToken: (token: string) => void, +) { + const segments = content.match(/[\s\S]{1,8}/g) ?? [content]; + for (const segment of segments) { + if (signal.aborted) throw new DOMException("Aborted", "AbortError"); + onToken(segment); + await new Promise((resolve) => setTimeout(resolve, 22)); + } +} + +async function completeTitle( + runId: string, + titlePromise: Promise, +) { + const run = getChatRun(runId); + if (!run) return ""; + const existing = getConversation(run.conversationId); + if (!existing || existing.title) return existing?.title ?? ""; + + const generatedTitle = await titlePromise; + const title = setConversationTitleIfEmpty( + run.conversationId, + generatedTitle, + ); + if (title) { + appendChatRunEvent(runId, { type: "conversation_title", title }); + } + return title; +} + +async function titleWithin( + titlePromise: Promise, + fallback: string, + timeoutMs: number, +) { + let timeout: ReturnType | undefined; + try { + return await Promise.race([ + titlePromise, + new Promise((resolve) => { + timeout = setTimeout(() => resolve(fallback), timeoutMs); + }), + ]); + } finally { + if (timeout) clearTimeout(timeout); + } +} + +export function startChatRun(input: { + runId: string; + conversationId: string; + userMessage: string; + selectedSkills: Skill[]; + continuation: ConversationContinuation; + history: Array<{ role: ChatMessage["role"]; content: string }>; +}) { + if (runningChats.has(input.runId)) return; + + const run = getChatRun(input.runId); + if (!run || !["pending", "running"].includes(run.status)) return; + const createdAtMs = Date.parse(run.createdAt); + const runStartedAt = Number.isFinite(createdAtMs) + ? createdAtMs + : Date.now(); + + const controller = new AbortController(); + const state: RunningChat = { controller, timedOut: false }; + runningChats.set(input.runId, state); + updateChatRunStatus(input.runId, "running"); + + appendChatRunEvent(input.runId, { + type: "meta", + runId: input.runId, + userMessageId: run.userMessageId, + assistantMessageId: run.assistantMessageId, + }); + appendChatRunEvent(input.runId, { + type: "status", + label: "正在思考", + }); + + const timeout = setTimeout(() => { + state.timedOut = true; + controller.abort(); + }, 110_000); + + void (async () => { + let content = ""; + let usedSkillIds: string[] = []; + let lastPersistedAt = 0; + let titlePromise: Promise | null = null; + let usage = createMessageUsage( + hasDeepSeekApiKey() ? "provider" : "demo", + ); + let usageTerminalStatus: + | Extract + | undefined; + let terminalDurationMs: number | undefined; + + const persistUsage = () => { + if (usageTerminalStatus) { + usage = finalizeMessageUsage( + usage, + usageTerminalStatus, + terminalDurationMs, + ); + } + updateMessageUsage(run.assistantMessageId, usage); + appendChatRunEvent(input.runId, { type: "usage", usage }); + }; + const onUsage = (callUsage: ModelCallUsage) => { + usage = addModelCallUsage(usage, callUsage); + persistUsage(); + }; + const completeUsage = ( + status: Extract, + ) => { + usageTerminalStatus = status; + terminalDurationMs = Math.max(0, Date.now() - runStartedAt); + persistUsage(); + }; + const throwIfStopRequested = () => { + if ( + controller.signal.aborted || + isChatRunStopRequested(input.runId) + ) { + throw new DOMException("Aborted", "AbortError"); + } + }; + + try { + const isExplanationRequest = isSkillExplanationRequest( + input.userMessage, + ); + const skillDecision = isExplanationRequest + ? { + skillIds: input.selectedSkills.map((skill) => skill.id), + source: "explicit_explanation" as const, + reason: "用户明确询问已选 Skill 的用途。", + } + : await decideSkillUsage( + input.userMessage, + input.selectedSkills, + { + signal: controller.signal, + history: input.history, + continuation: input.continuation, + onUsage, + }, + ); + usedSkillIds = skillDecision.skillIds; + const usedSkills = input.selectedSkills.filter((skill) => + usedSkillIds.includes(skill.id), + ); + if (!getConversation(input.conversationId)?.title) { + titlePromise = generateConversationTitle({ + userMessage: input.userMessage, + usedSkills, + onUsage, + }); + } + + appendChatRunEvent(input.runId, { + type: "skill_usage", + skillIds: usedSkillIds, + source: skillDecision.source, + reason: skillDecision.reason, + }); + appendChatRunEvent(input.runId, { + type: "status", + label: + usedSkills.length > 0 + ? `正在应用 ${usedSkills.map((skill) => skill.name).join("、")}` + : "正在思考", + }); + + const onToken = (token: string) => { + if (isChatRunStopRequested(input.runId)) { + controller.abort(); + return; + } + content += token; + appendChatRunEvent(input.runId, { type: "token", token }); + + const now = Date.now(); + if (now - lastPersistedAt > 250) { + lastPersistedAt = now; + updateMessage(run.assistantMessageId, { + content, + usedSkillIds, + status: "streaming", + }); + } + }; + + if (isExplanationRequest) { + await streamDemo( + buildSkillExplanationResponse(usedSkills), + controller.signal, + onToken, + ); + } else if (hasDeepSeekApiKey()) { + await streamTextCompletion({ + messages: [ + { + role: "system", + content: buildChatSystemPrompt(usedSkills), + }, + ...input.history, + { role: "user", content: input.userMessage }, + ], + signal: controller.signal, + onToken, + onUsage, + }); + } else { + await streamDemo( + demoChatResponse(input.userMessage, usedSkills), + controller.signal, + onToken, + ); + } + throwIfStopRequested(); + + if (!content.trim()) { + throw new Error("AI 返回了空答案，请重新发送"); + } + + appendChatRunEvent(input.runId, { + type: "status", + label: "正在确认任务是否需要继续", + }); + const continuation = await decideSkillContinuation({ + userMessage: input.userMessage, + assistantResponse: content, + usedSkills, + onUsage, + }); + throwIfStopRequested(); + const persistedContinuation = setConversationContinuation( + input.conversationId, + continuation, + ); + appendChatRunEvent(input.runId, { + type: "skill_retention", + state: persistedContinuation.state, + skillIds: persistedContinuation.skillIds, + expectedInput: persistedContinuation.expectedInput, + reason: persistedContinuation.reason, + source: persistedContinuation.source, + }); + + updateMessage(run.assistantMessageId, { + content, + usedSkillIds, + status: "complete", + }); + if (titlePromise) { + appendChatRunEvent(input.runId, { + type: "status", + label: "正在提炼会话主题", + }); + await completeTitle( + input.runId, + titleWithin( + titlePromise, + fallbackConversationTitle(input.userMessage, usedSkills), + 1_200, + ), + ); + } + throwIfStopRequested(); + completeUsage("complete"); + appendChatRunEvent(input.runId, { + type: "complete", + messageId: run.assistantMessageId, + }); + if (!completeChatRunIfNotCancelled(input.runId)) { + throw new DOMException("Aborted", "AbortError"); + } + } catch (error) { + const stopped = + !state.timedOut && + (controller.signal.aborted || + isChatRunStopRequested(input.runId) || + (error instanceof Error && error.name === "AbortError")); + + if (stopped) { + const stoppedContent = + (state.stopContent ?? content) || "本轮回答已中止。"; + setConversationContinuation(input.conversationId, { + state: "complete", + skillIds: [], + expectedInput: "", + reason: "本轮回答已中止，不保留 Skill 续接状态。", + source: "deterministic", + }); + appendChatRunEvent(input.runId, { + type: "skill_retention", + state: "complete", + skillIds: [], + expectedInput: "", + reason: "本轮回答已中止，不保留 Skill 续接状态。", + source: "deterministic", + }); + updateMessage(run.assistantMessageId, { + content: stoppedContent, + usedSkillIds, + status: "stopped", + }); + const stoppedSkills = input.selectedSkills.filter((skill) => + usedSkillIds.includes(skill.id), + ); + const fallbackTitle = fallbackConversationTitle( + input.userMessage, + stoppedSkills, + ); + await completeTitle( + input.runId, + titleWithin( + titlePromise ?? + generateConversationTitle({ + userMessage: input.userMessage, + usedSkills: stoppedSkills, + onUsage, + }), + fallbackTitle, + 400, + ), + ); + completeUsage("stopped"); + appendChatRunEvent(input.runId, { type: "aborted" }); + updateChatRunStatus(input.runId, "stopped"); + } else { + setConversationContinuation(input.conversationId, { + state: "complete", + skillIds: [], + expectedInput: "", + reason: "本轮回答失败，不保留 Skill 续接状态。", + source: "deterministic", + }); + appendChatRunEvent(input.runId, { + type: "skill_retention", + state: "complete", + skillIds: [], + expectedInput: "", + reason: "本轮回答失败，不保留 Skill 续接状态。", + source: "deterministic", + }); + const message = state.timedOut + ? "回答超时，已安全结束本轮" + : error instanceof Error + ? error.message + : "生成回答时发生错误"; + updateMessage(run.assistantMessageId, { + content, + usedSkillIds, + status: "error", + errorMessage: message, + }); + completeUsage("error"); + appendChatRunEvent(input.runId, { type: "error", message }); + updateChatRunStatus(input.runId, "error"); + } + } finally { + clearTimeout(timeout); + runningChats.delete(input.runId); + } + })(); +} + +export async function stopChatRun( + id: string, + options?: { visibleContent?: string }, +) { + const run = getChatRun(id); + if (!run) return { found: false, stopped: false, title: "" }; + const requestedContent = options?.visibleContent; + const persistStoppedUsage = (message: ChatMessage | null) => { + const createdAtMs = Date.parse(run.createdAt); + const durationMs = Math.max( + 0, + Number.isFinite(createdAtMs) ? Date.now() - createdAtMs : 0, + ); + const usage = finalizeMessageUsage( + message?.usage ?? + createMessageUsage( + hasDeepSeekApiKey() ? "provider" : "demo", + ), + "stopped", + durationMs, + ); + updateMessageUsage(run.assistantMessageId, usage); + appendChatRunEvent(id, { type: "usage", usage }); + }; + + if (!["pending", "running"].includes(run.status)) { + if (run.status === "complete" && requestedContent !== undefined) { + const assistantMessage = getMessage(run.assistantMessageId); + updateMessage(run.assistantMessageId, { + content: requestedContent || "本轮回答已中止。", + usedSkillIds: assistantMessage?.usedSkillIds ?? [], + status: "stopped", + }); + setConversationContinuation(run.conversationId, { + state: "complete", + skillIds: [], + expectedInput: "", + reason: "用户在回答展示完成前请求中止，不保留 Skill 续接状态。", + source: "deterministic", + }); + persistStoppedUsage(assistantMessage); + appendChatRunEvent(id, { + type: "skill_retention", + state: "complete", + skillIds: [], + expectedInput: "", + reason: "用户在回答展示完成前请求中止，不保留 Skill 续接状态。", + source: "deterministic", + }); + appendChatRunEvent(id, { type: "aborted" }); + updateChatRunStatus(id, "stopped"); + return { found: true, stopped: true, title: "" }; + } + return { + found: true, + stopped: run.status === "stopped", + title: "", + }; + } + + requestChatRunStop(id); + const active = runningChats.get(id); + if (active) { + active.stopContent = requestedContent; + active.controller.abort(); + return { found: true, stopped: true, title: "" }; + } + + const userMessage = getMessage(run.userMessageId); + const assistantMessage = getMessage(run.assistantMessageId); + updateMessage(run.assistantMessageId, { + content: + requestedContent || + assistantMessage?.content || + "本轮回答已中止。", + usedSkillIds: assistantMessage?.usedSkillIds ?? [], + status: "stopped", + }); + setConversationContinuation(run.conversationId, { + state: "complete", + skillIds: [], + expectedInput: "", + reason: "本轮回答已中止，不保留 Skill 续接状态。", + source: "deterministic", + }); + const title = await completeTitle( + id, + Promise.resolve( + fallbackConversationTitle(userMessage?.content ?? "", []), + ), + ); + persistStoppedUsage(assistantMessage); + appendChatRunEvent(id, { + type: "skill_retention", + state: "complete", + skillIds: [], + expectedInput: "", + reason: "本轮回答已中止，不保留 Skill 续接状态。", + source: "deterministic", + }); + appendChatRunEvent(id, { type: "aborted" }); + updateChatRunStatus(id, "stopped"); + return { found: true, stopped: true, title }; +} diff --git a/src/lib/client-sse.ts b/src/lib/client-sse.ts new file mode 100644 index 0000000..1c9882c --- /dev/null +++ b/src/lib/client-sse.ts @@ -0,0 +1,38 @@ +import type { SseEvent } from "@/lib/types"; + +export async function consumeSse( + response: Response, + onEvent: (event: SseEvent) => void, +) { + if (!response.ok) { + const payload = (await response.json().catch(() => null)) as { + error?: string; + } | null; + throw new Error(payload?.error ?? `请求失败 (${response.status})`); + } + + if (!response.body) throw new Error("服务端没有返回数据流"); + + const reader = response.body.getReader(); + const decoder = new TextDecoder(); + let buffer = ""; + + while (true) { + const { done, value } = await reader.read(); + if (done) break; + buffer += decoder.decode(value, { stream: true }); + + const blocks = buffer.split(/\r?\n\r?\n/); + buffer = blocks.pop() ?? ""; + + for (const block of blocks) { + const data = block + .split(/\r?\n/) + .filter((line) => line.startsWith("data:")) + .map((line) => line.slice(5).trim()) + .join("\n"); + if (!data) continue; + onEvent(JSON.parse(data) as SseEvent); + } + } +} diff --git a/src/lib/db.ts b/src/lib/db.ts new file mode 100644 index 0000000..c434834 --- /dev/null +++ b/src/lib/db.ts @@ -0,0 +1,1096 @@ +import { mkdirSync } from "node:fs"; +import path from "node:path"; +import { DatabaseSync } from "node:sqlite"; +import type { + ChatMessage, + ChatRun, + ChatRunStatus, + Conversation, + ConversationContinuation, + Skill, + SkillNode, + SseEvent, +} from "@/lib/types"; +import { SKILL_NODE_DEFINITIONS } from "@/lib/types"; +import { parseMessageUsage } from "@/lib/model-usage"; +import { createId, safeJsonArray } from "@/lib/utils"; + +type SkillRow = { + id: string; + name: string; + description: string; + status: "draft" | "active"; + created_at: string; + updated_at: string; +}; + +type SkillNodeRow = { + node_key: SkillNode["key"]; + content: string; + ready: number; + completed: number; + updated_at: string; +}; + +type MessageRow = { + id: string; + role: ChatMessage["role"]; + content: string; + selected_skill_ids: string; + used_skill_ids: string; + status: ChatMessage["status"]; + error_message: string; + usage_json: string; + created_at: string; +}; + +type ConversationRow = { + id: string; + title: string; + retained_skill_ids: string; + continuation_state: ConversationContinuation["state"]; + continuation_expected_input: string; + continuation_reason: string; + continuation_source: ConversationContinuation["source"]; + created_at: string; + updated_at: string; +}; + +type ChatRunRow = { + id: string; + client_request_id: string; + conversation_id: string; + user_message_id: string; + assistant_message_id: string; + status: ChatRunStatus; + cancel_requested: number; + created_at: string; + updated_at: string; +}; + +type ChatRunEventRow = { + seq: number; + event_json: string; +}; + +const globalForDb = globalThis as unknown as { + skillLoomDb?: DatabaseSync; + skillLoomDbSchemaVersion?: number; +}; + +const DATABASE_SCHEMA_VERSION = 3; + +function initializeDatabase(database: DatabaseSync) { + database.exec("PRAGMA journal_mode = WAL;"); + database.exec("PRAGMA foreign_keys = ON;"); + database.exec("PRAGMA busy_timeout = 5000;"); + + database.exec(` + CREATE TABLE IF NOT EXISTS skills ( + id TEXT PRIMARY KEY, + name TEXT NOT NULL, + description TEXT NOT NULL DEFAULT '', + status TEXT NOT NULL DEFAULT 'active' CHECK (status IN ('draft', 'active')), + created_at TEXT NOT NULL, + updated_at TEXT NOT NULL + ); + + CREATE TABLE IF NOT EXISTS skill_nodes ( + id TEXT PRIMARY KEY, + skill_id TEXT NOT NULL REFERENCES skills(id) ON DELETE CASCADE, + node_key TEXT NOT NULL, + position INTEGER NOT NULL, + content TEXT NOT NULL DEFAULT '', + ready INTEGER NOT NULL DEFAULT 0, + completed INTEGER NOT NULL DEFAULT 0, + updated_at TEXT NOT NULL, + UNIQUE(skill_id, node_key) + ); + + CREATE TABLE IF NOT EXISTS conversations ( + id TEXT PRIMARY KEY, + title TEXT NOT NULL, + retained_skill_ids TEXT NOT NULL DEFAULT '[]', + continuation_state TEXT NOT NULL DEFAULT 'complete' + CHECK (continuation_state IN ('complete', 'awaiting_input', 'offer_pending')), + continuation_expected_input TEXT NOT NULL DEFAULT '', + continuation_reason TEXT NOT NULL DEFAULT '', + continuation_source TEXT NOT NULL DEFAULT 'none' + CHECK (continuation_source IN ('none', 'deterministic', 'ai', 'fallback')), + created_at TEXT NOT NULL, + updated_at TEXT NOT NULL + ); + + CREATE TABLE IF NOT EXISTS messages ( + id TEXT PRIMARY KEY, + conversation_id TEXT NOT NULL REFERENCES conversations(id) ON DELETE CASCADE, + role TEXT NOT NULL CHECK (role IN ('user', 'assistant')), + content TEXT NOT NULL DEFAULT '', + selected_skill_ids TEXT NOT NULL DEFAULT '[]', + used_skill_ids TEXT NOT NULL DEFAULT '[]', + status TEXT NOT NULL DEFAULT 'complete', + error_message TEXT NOT NULL DEFAULT '', + usage_json TEXT NOT NULL DEFAULT '', + created_at TEXT NOT NULL + ); + + CREATE TABLE IF NOT EXISTS chat_runs ( + id TEXT PRIMARY KEY, + client_request_id TEXT NOT NULL UNIQUE, + conversation_id TEXT NOT NULL REFERENCES conversations(id) ON DELETE CASCADE, + user_message_id TEXT NOT NULL REFERENCES messages(id) ON DELETE CASCADE, + assistant_message_id TEXT NOT NULL REFERENCES messages(id) ON DELETE CASCADE, + status TEXT NOT NULL DEFAULT 'pending', + cancel_requested INTEGER NOT NULL DEFAULT 0, + created_at TEXT NOT NULL, + updated_at TEXT NOT NULL + ); + + CREATE TABLE IF NOT EXISTS chat_run_events ( + run_id TEXT NOT NULL REFERENCES chat_runs(id) ON DELETE CASCADE, + seq INTEGER NOT NULL, + event_json TEXT NOT NULL, + created_at TEXT NOT NULL, + PRIMARY KEY (run_id, seq) + ); + + CREATE INDEX IF NOT EXISTS idx_messages_conversation + ON messages(conversation_id, created_at); + CREATE INDEX IF NOT EXISTS idx_skill_nodes_skill + ON skill_nodes(skill_id, position); + CREATE INDEX IF NOT EXISTS idx_chat_runs_conversation + ON chat_runs(conversation_id, created_at); + CREATE INDEX IF NOT EXISTS idx_chat_run_events_run + ON chat_run_events(run_id, seq); + `); + database.exec(` + UPDATE messages + SET status = 'error', + error_message = '并发产生的重复回答任务已自动终止' + WHERE id IN ( + SELECT older.assistant_message_id + FROM chat_runs AS older + WHERE older.status IN ('pending', 'running') + AND EXISTS ( + SELECT 1 + FROM chat_runs AS newer + WHERE newer.conversation_id = older.conversation_id + AND newer.status IN ('pending', 'running') + AND ( + newer.created_at > older.created_at + OR (newer.created_at = older.created_at AND newer.id > older.id) + ) + ) + ); + + UPDATE chat_runs AS older + SET status = 'error', updated_at = datetime('now') + WHERE older.status IN ('pending', 'running') + AND EXISTS ( + SELECT 1 + FROM chat_runs AS newer + WHERE newer.conversation_id = older.conversation_id + AND newer.status IN ('pending', 'running') + AND ( + newer.created_at > older.created_at + OR (newer.created_at = older.created_at AND newer.id > older.id) + ) + ); + + CREATE UNIQUE INDEX IF NOT EXISTS idx_chat_runs_one_active + ON chat_runs(conversation_id) + WHERE status IN ('pending', 'running'); + `); + + const messageColumns = database + .prepare("PRAGMA table_info(messages)") + .all() as unknown as Array<{ name: string }>; + if (!messageColumns.some((column) => column.name === "error_message")) { + database.exec( + "ALTER TABLE messages ADD COLUMN error_message TEXT NOT NULL DEFAULT '';", + ); + } + if (!messageColumns.some((column) => column.name === "usage_json")) { + database.exec( + "ALTER TABLE messages ADD COLUMN usage_json TEXT NOT NULL DEFAULT '';", + ); + } + + const conversationColumns = database + .prepare("PRAGMA table_info(conversations)") + .all() as unknown as Array<{ name: string }>; + if ( + !conversationColumns.some( + (column) => column.name === "retained_skill_ids", + ) + ) { + database.exec( + "ALTER TABLE conversations ADD COLUMN retained_skill_ids TEXT NOT NULL DEFAULT '[]';", + ); + } + if ( + !conversationColumns.some( + (column) => column.name === "continuation_state", + ) + ) { + database.exec( + "ALTER TABLE conversations ADD COLUMN continuation_state TEXT NOT NULL DEFAULT 'complete';", + ); + database.exec( + "UPDATE conversations SET continuation_state = 'awaiting_input' WHERE retained_skill_ids <> '[]';", + ); + } + if ( + !conversationColumns.some( + (column) => column.name === "continuation_expected_input", + ) + ) { + database.exec( + "ALTER TABLE conversations ADD COLUMN continuation_expected_input TEXT NOT NULL DEFAULT '';", + ); + } + if ( + !conversationColumns.some( + (column) => column.name === "continuation_reason", + ) + ) { + database.exec( + "ALTER TABLE conversations ADD COLUMN continuation_reason TEXT NOT NULL DEFAULT '';", + ); + } + if ( + !conversationColumns.some( + (column) => column.name === "continuation_source", + ) + ) { + database.exec( + "ALTER TABLE conversations ADD COLUMN continuation_source TEXT NOT NULL DEFAULT 'none';", + ); + } + database.exec( + "UPDATE conversations SET continuation_source = 'fallback' WHERE continuation_state <> 'complete' AND continuation_source = 'none';", + ); + + const skillNodeColumns = database + .prepare("PRAGMA table_info(skill_nodes)") + .all() as unknown as Array<{ name: string }>; + if (!skillNodeColumns.some((column) => column.name === "ready")) { + database.exec( + "ALTER TABLE skill_nodes ADD COLUMN ready INTEGER NOT NULL DEFAULT 0;", + ); + database.exec("UPDATE skill_nodes SET ready = completed;"); + } + + database.exec(` + UPDATE conversations + SET title = '' + WHERE title = '新的对话' + AND NOT EXISTS ( + SELECT 1 FROM messages WHERE messages.conversation_id = conversations.id + ); + `); + + seedSkills(database); +} + +function createDatabase() { + const databasePath = + process.env.DATABASE_PATH ?? + path.join(process.cwd(), "data", "skillloom.db"); + + mkdirSync(path.dirname(databasePath), { recursive: true }); + + const database = new DatabaseSync(databasePath); + initializeDatabase(database); + return database; +} + +function seedSkills(database: DatabaseSync) { + const count = database + .prepare("SELECT COUNT(*) AS count FROM skills WHERE status = 'active'") + .get() as { count: number }; + + if (count.count > 0) return; + + const samples = [ + { + id: "skill_meeting_signal", + name: "会议萃取器", + description: "把散乱的会议记录压缩成结论、责任人和下一步。", + contents: [ + "当用户提供会议录音转写、会议笔记或多人讨论内容，并希望得到可执行摘要时使用。闲聊或单一事实问答不触发。", + "必填：会议原文。可选：参会人、会议目标、截止日期规则、关注主题。", + "1. 识别议题与参与者；2. 分离事实、观点和决策；3. 提取行动项及责任人；4. 标记未决问题；5. 检查是否有无主任务。", + "按「结论 / 行动项 / 风险与待确认」三段输出。行动项使用表格，包含任务、责任人、截止时间和状态。", + "不得臆测责任人或日期；缺失信息标为「待确认」。每个行动项必须可执行，摘要不超过原文的 20%。", + ], + }, + { + id: "skill_decision_note", + name: "决策备忘录", + description: "把复杂选项整理成有依据、可复盘的决策建议。", + contents: [ + "当用户需要在两个或更多方案中做选择，或需要记录一次重要决策时使用。", + "必填：目标、候选方案。可选：预算、时间、风险偏好、不可妥协项、决策人。", + "1. 澄清目标与约束；2. 建立比较维度；3. 逐项评估证据；4. 找出不可逆风险；5. 给出建议与复盘节点。", + "输出一页式备忘录：背景、比较矩阵、建议、关键风险、下一步。结论置顶，并注明信心等级。", + "区分事实与假设；没有证据时不得给出精确概率。至少提出一个反方观点和一个可逆的验证动作。", + ], + }, + { + id: "skill_sql_guard", + name: "SQL 安全审阅", + description: "检查 SQL 的正确性、性能风险与数据安全边界。", + contents: [ + "当用户提供 SQL、查询计划或数据库变更，并要求审阅、优化或排错时使用。", + "必填：SQL 与数据库类型。可选：表结构、索引、数据规模、查询计划、目标延迟。", + "1. 判断语义正确性；2. 检查全表扫描与索引；3. 检查锁与事务；4. 检查注入和权限风险；5. 给出可验证的改写。", + "先列风险等级，再给修改后的 SQL，最后给验证步骤。每个修改必须说明预期影响。", + "默认只读；任何 DELETE、UPDATE、DDL 建议必须附回滚方案。缺少表结构时明确标注推断。", + ], + }, + ]; + + const now = new Date().toISOString(); + const insertSkill = database.prepare(` + INSERT INTO skills (id, name, description, status, created_at, updated_at) + VALUES (?, ?, ?, 'active', ?, ?) + `); + const insertNode = database.prepare(` + INSERT INTO skill_nodes + (id, skill_id, node_key, position, content, ready, completed, updated_at) + VALUES (?, ?, ?, ?, ?, 1, 1, ?) + `); + + database.exec("BEGIN"); + try { + for (const sample of samples) { + insertSkill.run( + sample.id, + sample.name, + sample.description, + now, + now, + ); + SKILL_NODE_DEFINITIONS.forEach((definition, index) => { + insertNode.run( + createId("node"), + sample.id, + definition.key, + index, + sample.contents[index], + now, + ); + }); + } + database.exec("COMMIT"); + } catch (error) { + database.exec("ROLLBACK"); + throw error; + } +} + +function getDatabase() { + if (!globalForDb.skillLoomDb) { + globalForDb.skillLoomDb = createDatabase(); + globalForDb.skillLoomDbSchemaVersion = DATABASE_SCHEMA_VERSION; + } else if ( + globalForDb.skillLoomDbSchemaVersion !== DATABASE_SCHEMA_VERSION + ) { + // Next.js development HMR keeps the process-global connection alive while + // reloading this module. Re-run the idempotent migrations so a schema change + // is available without requiring developers to restart the server. + initializeDatabase(globalForDb.skillLoomDb); + globalForDb.skillLoomDbSchemaVersion = DATABASE_SCHEMA_VERSION; + } + return globalForDb.skillLoomDb; +} + +// Route modules are evaluated in parallel during `next build`. Keeping this +// proxy lazy prevents build workers from racing to migrate the same SQLite file. +const db = new Proxy({} as DatabaseSync, { + get(_target, property) { + const database = getDatabase(); + const value = Reflect.get(database, property); + return typeof value === "function" ? value.bind(database) : value; + }, +}); + +function rowsToSkill(row: SkillRow, nodeRows: SkillNodeRow[]): Skill { + const nodeMap = new Map(nodeRows.map((node) => [node.node_key, node])); + + return { + id: row.id, + name: row.name, + description: row.description, + status: row.status, + createdAt: row.created_at, + updatedAt: row.updated_at, + nodes: SKILL_NODE_DEFINITIONS.map((definition) => { + const node = nodeMap.get(definition.key); + return { + key: definition.key, + title: definition.title, + description: definition.description, + content: node?.content ?? "", + ready: Boolean(node?.ready ?? node?.completed), + completed: Boolean(node?.completed), + updatedAt: node?.updated_at, + }; + }), + }; +} + +export function listSkills(options?: { includeDrafts?: boolean }) { + const rows = db + .prepare( + `SELECT * FROM skills + ${options?.includeDrafts ? "" : "WHERE status = 'active'"} + ORDER BY updated_at DESC`, + ) + .all() as unknown as SkillRow[]; + + const nodeStatement = db.prepare( + "SELECT node_key, content, ready, completed, updated_at FROM skill_nodes WHERE skill_id = ? ORDER BY position", + ); + + return rows.map((row) => + rowsToSkill( + row, + nodeStatement.all(row.id) as unknown as SkillNodeRow[], + ), + ); +} + +export function getSkill(id: string) { + const row = db + .prepare("SELECT * FROM skills WHERE id = ?") + .get(id) as SkillRow | undefined; + + if (!row) return null; + + const nodes = db + .prepare( + "SELECT node_key, content, ready, completed, updated_at FROM skill_nodes WHERE skill_id = ? ORDER BY position", + ) + .all(id) as unknown as SkillNodeRow[]; + + return rowsToSkill(row, nodes); +} + +export function saveSkill(input: { + id?: string; + name: string; + description: string; + nodes: SkillNode[]; + status?: Skill["status"]; +}) { + const now = new Date().toISOString(); + const id = input.id ?? createId("skill"); + const existing = getSkill(id); + + db.exec("BEGIN"); + try { + if (existing) { + db.prepare( + `UPDATE skills + SET name = ?, description = ?, status = ?, updated_at = ? + WHERE id = ?`, + ).run( + input.name, + input.description, + input.status ?? "active", + now, + id, + ); + } else { + db.prepare( + `INSERT INTO skills + (id, name, description, status, created_at, updated_at) + VALUES (?, ?, ?, ?, ?, ?)`, + ).run( + id, + input.name, + input.description, + input.status ?? "active", + now, + now, + ); + } + + const upsertNode = db.prepare(` + INSERT INTO skill_nodes + (id, skill_id, node_key, position, content, ready, completed, updated_at) + VALUES (?, ?, ?, ?, ?, ?, ?, ?) + ON CONFLICT(skill_id, node_key) DO UPDATE SET + position = excluded.position, + content = excluded.content, + ready = excluded.ready, + completed = excluded.completed, + updated_at = excluded.updated_at + `); + + SKILL_NODE_DEFINITIONS.forEach((definition, index) => { + const node = input.nodes.find((item) => item.key === definition.key); + upsertNode.run( + createId("node"), + id, + definition.key, + index, + node?.content ?? "", + (node?.ready ?? node?.completed) ? 1 : 0, + node?.completed ? 1 : 0, + now, + ); + }); + + db.exec("COMMIT"); + } catch (error) { + db.exec("ROLLBACK"); + throw error; + } + + return getSkill(id)!; +} + +export function deleteSkill(id: string) { + const result = db.prepare("DELETE FROM skills WHERE id = ?").run(id); + return Number(result.changes) > 0; +} + +export function getDefaultConversation(): Conversation { + let row = db + .prepare("SELECT * FROM conversations ORDER BY created_at LIMIT 1") + .get() as ConversationRow | undefined; + + if (!row) { + const now = new Date().toISOString(); + row = { + id: createId("conversation"), + title: "", + retained_skill_ids: "[]", + continuation_state: "complete", + continuation_expected_input: "", + continuation_reason: "", + continuation_source: "none", + created_at: now, + updated_at: now, + }; + db.prepare( + "INSERT INTO conversations (id, title, created_at, updated_at) VALUES (?, ?, ?, ?)", + ).run(row.id, row.title, row.created_at, row.updated_at); + } + + return { + id: row.id, + title: row.title, + createdAt: row.created_at, + updatedAt: row.updated_at, + }; +} + +export function getConversation(id: string): Conversation | null { + const row = db + .prepare("SELECT * FROM conversations WHERE id = ?") + .get(id) as ConversationRow | undefined; + + if (!row) return null; + + return { + id: row.id, + title: row.title, + createdAt: row.created_at, + updatedAt: row.updated_at, + }; +} + +export function renameConversation(id: string, title: string) { + const now = new Date().toISOString(); + const result = db + .prepare( + "UPDATE conversations SET title = ?, updated_at = ? WHERE id = ?", + ) + .run(title.trim().slice(0, 40), now, id); + return Number(result.changes) > 0 ? getConversation(id) : null; +} + +export function setConversationTitleIfEmpty(id: string, title: string) { + const existing = getConversation(id); + if (!existing) return ""; + if (existing.title) return existing.title; + + const normalizedTitle = title.trim().slice(0, 40); + if (!normalizedTitle) return ""; + const now = new Date().toISOString(); + db.prepare( + `UPDATE conversations + SET title = ?, updated_at = ? + WHERE id = ? AND title = ''`, + ).run(normalizedTitle, now, id); + + return getConversation(id)?.title ?? normalizedTitle; +} + +export function getConversationRetainedSkillIds(id: string) { + return getConversationContinuation(id).skillIds; +} + +export function setConversationRetainedSkillIds( + id: string, + skillIds: string[], +) { + return setConversationContinuation(id, { + state: skillIds.length > 0 ? "awaiting_input" : "complete", + skillIds, + expectedInput: "", + reason: skillIds.length > 0 ? "legacy_retention" : "", + source: skillIds.length > 0 ? "fallback" : "none", + }).skillIds; +} + +export function getConversationContinuation( + id: string, +): ConversationContinuation { + const row = db + .prepare( + `SELECT retained_skill_ids, continuation_state, + continuation_expected_input, continuation_reason, + continuation_source, updated_at + FROM conversations WHERE id = ?`, + ) + .get(id) as + | Pick< + ConversationRow, + | "retained_skill_ids" + | "continuation_state" + | "continuation_expected_input" + | "continuation_reason" + | "continuation_source" + | "updated_at" + > + | undefined; + + const validStates = new Set([ + "complete", + "awaiting_input", + "offer_pending", + ]); + const validSources = new Set(["none", "deterministic", "ai", "fallback"]); + const state = validStates.has(row?.continuation_state ?? "") + ? row!.continuation_state + : "complete"; + const source = validSources.has(row?.continuation_source ?? "") + ? row!.continuation_source + : "none"; + + return { + state, + skillIds: + state === "complete" + ? [] + : safeJsonArray(row?.retained_skill_ids ?? "[]"), + expectedInput: row?.continuation_expected_input ?? "", + reason: row?.continuation_reason ?? "", + source, + updatedAt: row?.updated_at, + }; +} + +export function setConversationContinuation( + id: string, + continuation: Omit, +) { + const requestedSkillIds = [...new Set(continuation.skillIds)].slice(0, 12); + const state = + continuation.state === "complete" || requestedSkillIds.length === 0 + ? ("complete" as const) + : continuation.state; + const uniqueIds = state === "complete" ? [] : requestedSkillIds; + const now = new Date().toISOString(); + db.prepare( + `UPDATE conversations + SET retained_skill_ids = ?, continuation_state = ?, + continuation_expected_input = ?, continuation_reason = ?, + continuation_source = ?, updated_at = ? + WHERE id = ?`, + ).run( + JSON.stringify(uniqueIds), + state, + state === "complete" ? "" : continuation.expectedInput.slice(0, 240), + continuation.reason.slice(0, 400), + continuation.source, + now, + id, + ); + return { + state, + skillIds: uniqueIds, + expectedInput: + state === "complete" ? "" : continuation.expectedInput.slice(0, 240), + reason: continuation.reason.slice(0, 400), + source: continuation.source, + updatedAt: now, + } satisfies ConversationContinuation; +} + +export function resetConversation(id: string) { + const active = db + .prepare( + `SELECT COUNT(*) AS count FROM chat_runs + WHERE conversation_id = ? AND status IN ('pending', 'running')`, + ) + .get(id) as { count: number }; + + if (active.count > 0) { + throw new Error("当前回答结束后才能重置会话"); + } + + const now = new Date().toISOString(); + db.exec("BEGIN"); + try { + db.prepare( + "DELETE FROM chat_run_events WHERE run_id IN (SELECT id FROM chat_runs WHERE conversation_id = ?)", + ).run(id); + db.prepare("DELETE FROM chat_runs WHERE conversation_id = ?").run(id); + db.prepare("DELETE FROM messages WHERE conversation_id = ?").run(id); + db.prepare( + `UPDATE conversations + SET title = '', retained_skill_ids = '[]', + continuation_state = 'complete', + continuation_expected_input = '', + continuation_reason = '', + continuation_source = 'none', + updated_at = ? + WHERE id = ?`, + ).run(now, id); + db.exec("COMMIT"); + } catch (error) { + db.exec("ROLLBACK"); + throw error; + } + + return getConversation(id); +} + +export function listMessages(conversationId: string): ChatMessage[] { + const rows = db + .prepare( + "SELECT * FROM messages WHERE conversation_id = ? ORDER BY created_at", + ) + .all(conversationId) as unknown as MessageRow[]; + + return rows.map((row) => ({ + id: row.id, + role: row.role, + content: row.content, + selectedSkillIds: safeJsonArray(row.selected_skill_ids), + usedSkillIds: safeJsonArray(row.used_skill_ids), + status: row.status, + errorMessage: row.error_message || undefined, + usage: parseMessageUsage(row.usage_json), + createdAt: row.created_at, + })); +} + +export function getMessage(id: string): ChatMessage | null { + const row = db + .prepare("SELECT * FROM messages WHERE id = ?") + .get(id) as MessageRow | undefined; + if (!row) return null; + + return { + id: row.id, + role: row.role, + content: row.content, + selectedSkillIds: safeJsonArray(row.selected_skill_ids), + usedSkillIds: safeJsonArray(row.used_skill_ids), + status: row.status, + errorMessage: row.error_message || undefined, + usage: parseMessageUsage(row.usage_json), + createdAt: row.created_at, + }; +} + +export function insertMessage( + conversationId: string, + message: Omit & { createdAt?: string }, +) { + const createdAt = message.createdAt ?? new Date().toISOString(); + + db.prepare( + `INSERT INTO messages + (id, conversation_id, role, content, selected_skill_ids, used_skill_ids, status, error_message, usage_json, created_at) + VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`, + ).run( + message.id, + conversationId, + message.role, + message.content, + JSON.stringify(message.selectedSkillIds), + JSON.stringify(message.usedSkillIds), + message.status, + message.errorMessage ?? "", + message.usage ? JSON.stringify(message.usage) : "", + createdAt, + ); + + db.prepare( + "UPDATE conversations SET updated_at = ? WHERE id = ?", + ).run(createdAt, conversationId); +} + +export function updateMessage( + id: string, + input: Pick & { + errorMessage?: string; + }, +) { + db.prepare( + "UPDATE messages SET content = ?, used_skill_ids = ?, status = ?, error_message = ? WHERE id = ?", + ).run( + input.content, + JSON.stringify(input.usedSkillIds), + input.status, + input.errorMessage ?? "", + id, + ); +} + +export function updateMessageUsage( + id: string, + usage: NonNullable, +) { + db.prepare("UPDATE messages SET usage_json = ? WHERE id = ?").run( + JSON.stringify(usage), + id, + ); +} + +function rowToChatRun(row: ChatRunRow): ChatRun { + return { + id: row.id, + conversationId: row.conversation_id, + userMessageId: row.user_message_id, + assistantMessageId: row.assistant_message_id, + status: row.status, + createdAt: row.created_at, + updatedAt: row.updated_at, + }; +} + +export function createChatRun(input: { + id: string; + clientRequestId: string; + conversationId: string; + userMessageId: string; + assistantMessageId: string; +}) { + const now = new Date().toISOString(); + db.prepare( + `INSERT INTO chat_runs + (id, client_request_id, conversation_id, user_message_id, assistant_message_id, status, created_at, updated_at) + VALUES (?, ?, ?, ?, ?, 'pending', ?, ?)`, + ).run( + input.id, + input.clientRequestId, + input.conversationId, + input.userMessageId, + input.assistantMessageId, + now, + now, + ); + return getChatRun(input.id)!; +} + +export function createChatRunWithMessages(input: { + conversationId: string; + userMessage: Omit & { createdAt?: string }; + assistantMessage: Omit & { + createdAt?: string; + }; + run: { + id: string; + clientRequestId: string; + userMessageId: string; + assistantMessageId: string; + }; +}) { + db.exec("BEGIN IMMEDIATE"); + try { + const existing = getChatRunByClientRequestId(input.run.clientRequestId); + if (existing) { + db.exec("COMMIT"); + return { outcome: "existing" as const, run: existing }; + } + + const active = getActiveChatRun(input.conversationId); + if (active) { + db.exec("COMMIT"); + return { outcome: "active_conflict" as const, run: active }; + } + + insertMessage(input.conversationId, input.userMessage); + insertMessage(input.conversationId, input.assistantMessage); + const run = createChatRun({ + ...input.run, + conversationId: input.conversationId, + }); + db.exec("COMMIT"); + return { outcome: "created" as const, run }; + } catch (error) { + db.exec("ROLLBACK"); + throw error; + } +} + +export function getChatRun(id: string) { + const row = db + .prepare("SELECT * FROM chat_runs WHERE id = ?") + .get(id) as ChatRunRow | undefined; + return row ? rowToChatRun(row) : null; +} + +export function getChatRunByClientRequestId(clientRequestId: string) { + const row = db + .prepare("SELECT * FROM chat_runs WHERE client_request_id = ?") + .get(clientRequestId) as ChatRunRow | undefined; + return row ? rowToChatRun(row) : null; +} + +export function getActiveChatRun(conversationId: string) { + let row = db + .prepare( + `SELECT * FROM chat_runs + WHERE conversation_id = ? AND status IN ('pending', 'running') + ORDER BY created_at DESC LIMIT 1`, + ) + .get(conversationId) as ChatRunRow | undefined; + if (row && expireStaleChatRun(row.id)) { + row = db + .prepare( + `SELECT * FROM chat_runs + WHERE conversation_id = ? AND status IN ('pending', 'running') + ORDER BY created_at DESC LIMIT 1`, + ) + .get(conversationId) as ChatRunRow | undefined; + } + return row ? rowToChatRun(row) : null; +} + +export function expireStaleChatRun(id: string, maxAgeMs = 180_000) { + const row = db + .prepare("SELECT * FROM chat_runs WHERE id = ?") + .get(id) as ChatRunRow | undefined; + if (!row || !["pending", "running"].includes(row.status)) return false; + + const updatedAt = Date.parse(row.updated_at); + if ( + Number.isFinite(updatedAt) && + Date.now() - updatedAt <= maxAgeMs + ) { + return false; + } + + const now = new Date().toISOString(); + const result = db + .prepare( + `UPDATE chat_runs + SET status = 'error', updated_at = ? + WHERE id = ? AND status IN ('pending', 'running')`, + ) + .run(now, id); + if (Number(result.changes) === 0) return false; + + db.prepare( + `UPDATE messages + SET status = 'error', + error_message = '回答任务因服务重启或超时而中断' + WHERE id = ? AND status = 'streaming'`, + ).run(row.assistant_message_id); + db.prepare( + `UPDATE conversations + SET retained_skill_ids = '[]', + continuation_state = 'complete', + continuation_expected_input = '', + continuation_reason = '活动 Run 超时回收', + continuation_source = 'deterministic', + updated_at = ? + WHERE id = ?`, + ).run(now, row.conversation_id); + appendChatRunEvent(id, { + type: "error", + message: "回答任务因服务重启或超时而中断，请重新发送", + }); + return true; +} + +export function updateChatRunStatus(id: string, status: ChatRunStatus) { + const now = new Date().toISOString(); + db.prepare( + "UPDATE chat_runs SET status = ?, updated_at = ? WHERE id = ?", + ).run(status, now, id); +} + +export function completeChatRunIfNotCancelled(id: string) { + const now = new Date().toISOString(); + const result = db + .prepare( + `UPDATE chat_runs + SET status = 'complete', updated_at = ? + WHERE id = ? + AND status IN ('pending', 'running') + AND cancel_requested = 0`, + ) + .run(now, id); + return Number(result.changes) > 0; +} + +export function requestChatRunStop(id: string) { + const now = new Date().toISOString(); + const result = db + .prepare( + `UPDATE chat_runs + SET cancel_requested = 1, updated_at = ? + WHERE id = ? AND status IN ('pending', 'running')`, + ) + .run(now, id); + return Number(result.changes) > 0; +} + +export function isChatRunStopRequested(id: string) { + const row = db + .prepare("SELECT cancel_requested FROM chat_runs WHERE id = ?") + .get(id) as { cancel_requested: number } | undefined; + return Boolean(row?.cancel_requested); +} + +export function appendChatRunEvent(id: string, event: SseEvent) { + const row = db + .prepare( + "SELECT COALESCE(MAX(seq), 0) + 1 AS next_seq FROM chat_run_events WHERE run_id = ?", + ) + .get(id) as { next_seq: number }; + const sequenced = { ...event, seq: row.next_seq } satisfies SseEvent; + db.prepare( + `INSERT INTO chat_run_events (run_id, seq, event_json, created_at) + VALUES (?, ?, ?, ?)`, + ).run( + id, + row.next_seq, + JSON.stringify(sequenced), + new Date().toISOString(), + ); + return sequenced; +} + +export function listChatRunEvents(id: string, afterSeq = 0) { + expireStaleChatRun(id); + const rows = db + .prepare( + `SELECT seq, event_json FROM chat_run_events + WHERE run_id = ? AND seq > ? ORDER BY seq`, + ) + .all(id, afterSeq) as unknown as ChatRunEventRow[]; + + return rows.map((row) => JSON.parse(row.event_json) as SseEvent); +} diff --git a/src/lib/deepseek.ts b/src/lib/deepseek.ts new file mode 100644 index 0000000..f14bb28 --- /dev/null +++ b/src/lib/deepseek.ts @@ -0,0 +1,1264 @@ +import type { + BuilderEvaluation, + ConversationContinuation, + ModelCallUsage, + Skill, + SkillNode, + SkillNodeKey, +} from "@/lib/types"; +import { SKILL_NODE_DEFINITIONS } from "@/lib/types"; +import { + classifyContinuationReply, + detectConversationContinuation, + isLikelySkillContinuationReply, + type ConversationTurn, +} from "@/lib/skill-continuation"; +import { + findUnsupportedSkillCapabilities, + SKILL_CAPABILITY_BOUNDARY, + skillCapabilityErrorMessage, +} from "@/lib/skill-capabilities"; +import { + isSuggestionWithinNodeScope, + SKILL_RECOMMENDATION_SCOPE_POLICY, +} from "@/lib/skill-recommendation-scope"; +import { evaluateSkillNodeQuality } from "@/lib/skill-node-quality"; +import { + builderModelResultSchema, + builderSuggestionsResultSchema, + conversationTitleResultSchema, + skillContinuationResultSchema, + skillRouterResultSchema, +} from "@/lib/validation"; +import { estimateDeepSeekCallUsage } from "@/lib/model-usage"; +import type { z } from "zod"; + +type AiMessage = { + role: "system" | "user" | "assistant"; + content: string; +}; + +type DeepSeekUsagePayload = { + prompt_tokens?: number; + prompt_cache_hit_tokens?: number; + prompt_cache_miss_tokens?: number; + completion_tokens?: number; + total_tokens?: number; + completion_tokens_details?: { + reasoning_tokens?: number; + }; +}; + +const DEEPSEEK_BASE_URL = + process.env.DEEPSEEK_BASE_URL ?? "https://api.deepseek.com"; +const DEEPSEEK_MODEL = + process.env.DEEPSEEK_MODEL ?? "deepseek-v4-flash"; + +export function hasDeepSeekApiKey() { + return Boolean(process.env.DEEPSEEK_API_KEY); +} + +function reportDeepSeekUsage( + model: string | undefined, + usage: DeepSeekUsagePayload | null | undefined, + onUsage?: (usage: ModelCallUsage) => void, +) { + if (!usage || !onUsage) return; + onUsage( + estimateDeepSeekCallUsage({ + model: model || DEEPSEEK_MODEL, + promptTokens: usage.prompt_tokens ?? 0, + promptCacheHitTokens: usage.prompt_cache_hit_tokens, + promptCacheMissTokens: usage.prompt_cache_miss_tokens, + completionTokens: usage.completion_tokens ?? 0, + reasoningTokens: + usage.completion_tokens_details?.reasoning_tokens ?? 0, + totalTokens: usage.total_tokens, + }), + ); +} + +async function requestDeepSeek( + body: Record, + signal?: AbortSignal, +) { + const apiKey = process.env.DEEPSEEK_API_KEY; + if (!apiKey) { + throw new Error("DEEPSEEK_API_KEY is not configured"); + } + + const response = await fetch(`${DEEPSEEK_BASE_URL}/chat/completions`, { + method: "POST", + headers: { + Authorization: `Bearer ${apiKey}`, + "Content-Type": "application/json", + }, + body: JSON.stringify({ + model: DEEPSEEK_MODEL, + thinking: { type: "disabled" }, + ...body, + }), + signal, + }); + + if (!response.ok) { + const detail = await response.text(); + throw new Error( + `DeepSeek 请求失败 (${response.status}): ${detail.slice(0, 300)}`, + ); + } + + return response; +} + +function parseJsonObject(content: string): T { + const normalized = content + .trim() + .replace(/^```(?:json)?\s*/i, "") + .replace(/\s*```$/, ""); + return JSON.parse(normalized) as T; +} + +async function getJsonCompletion( + messages: AiMessage[], + signal?: AbortSignal, + onUsage?: (usage: ModelCallUsage) => void, +) { + const response = await requestDeepSeek( + { + messages, + response_format: { type: "json_object" }, + temperature: 0.2, + max_tokens: 2_400, + stream: false, + }, + signal, + ); + const payload = (await response.json()) as { + model?: string; + choices?: Array<{ message?: { content?: string } }>; + usage?: DeepSeekUsagePayload; + }; + reportDeepSeekUsage(payload.model, payload.usage, onUsage); + const content = payload.choices?.[0]?.message?.content; + + if (!content) { + throw new Error("DeepSeek 返回了空内容"); + } + + return content; +} + +async function getValidatedJsonCompletion( + schema: z.ZodType, + messages: AiMessage[], + signal?: AbortSignal, + onUsage?: (usage: ModelCallUsage) => void, +) { + let correction = ""; + let lastError: unknown; + + for (let attempt = 0; attempt < 2; attempt += 1) { + try { + const content = await getJsonCompletion( + correction + ? [ + ...messages, + { + role: "user", + content: `上次输出未通过结构校验：${correction}。请只返回符合指定结构的 JSON，不要增加字段或说明。`, + }, + ] + : messages, + signal, + onUsage, + ); + return schema.parse(parseJsonObject(content)); + } catch (error) { + lastError = error; + correction = + error instanceof Error ? error.message.slice(0, 500) : "JSON 结构错误"; + } + } + + throw new Error( + `AI 连续两次返回了不符合约定的数据结构：${ + lastError instanceof Error ? lastError.message : "未知结构错误" + }`, + ); +} + +function normalizeConversationTitle(value: string) { + return value + .replace(/^(?:会话|对话|聊天)?标题\s*[:：]\s*/i, "") + .replace(/^[「『“"'《【\s]+|[」』”"'》】\s]+$/g, "") + .replace(/\s+/g, " ") + .replace(/[。！？!?，,；;：:、]+$/g, "") + .trim() + .slice(0, 18); +} + +export function fallbackConversationTitle( + userMessage: string, + usedSkills: Skill[], +) { + const source = userMessage + .replace(/https?:\/\/\S+/g, " ") + .replace(/[`#>*_[\](){}]/g, " ") + .replace(/\s+/g, " ") + .trim(); + + if (/会议|纪要|行动项|责任人/.test(source)) { + return "会议结论与行动项"; + } + if (/产品需求|验收清单|PRD/i.test(source)) { + return "产品需求与验收梳理"; + } + if (/SQL|数据库|查询语句/i.test(source)) { + return "SQL 查询与安全审阅"; + } + if (/诗|词|押韵|古典|意象/.test(source)) { + return "古典诗词创作"; + } + if (/报错|异常|失败|bug|错误/i.test(source)) { + return "问题排查与修复"; + } + + const skillName = usedSkills[0]?.name + .replace(/生成$/, "创作") + .replace(/(?:助手|工具)$/, "") + .trim(); + if (skillName) return normalizeConversationTitle(skillName); + + const topic = source + .replace( + /^(?:请|请你|请帮我|帮我|麻烦|能否|可以|我想|我希望|请问)+/g, + "", + ) + .split(/[。！？?!，,；;：:]/)[0] + .replace(/(?:一下|好吗|可以吗|谢谢)$/g, "") + .trim(); + + if (!topic) return "新话题讨论"; + return normalizeConversationTitle( + topic.length > 12 ? `${topic.slice(0, 12)}…` : `${topic}主题`, + ); +} + +export async function generateConversationTitle(input: { + userMessage: string; + usedSkills: Skill[]; + onUsage?: (usage: ModelCallUsage) => void; +}) { + const fallback = fallbackConversationTitle( + input.userMessage, + input.usedSkills, + ); + if (!hasDeepSeekApiKey()) return fallback; + + try { + const result = await getValidatedJsonCompletion( + conversationTitleResultSchema, + [ + { + role: "system", + content: `你是会话标题编辑器。根据用户首轮问题，为整段会话提炼一个便于快速识别的中文标题。 + +要求： +- 标题是任务主题或核心意图，不是用户原句的机械截断； +- 优先使用 6-14 个汉字，最多 18 个字符； +- 使用简洁名词短语，保留有辨识度的主题或对象； +- 删除“请帮我”“我想”“如何”等对话性前缀； +- 不要使用句号、问号、引号、Markdown、冒号或“会话标题”等前缀； +- Skill 名称只是语义提示，不能在无关时强行写入标题； +- 不要回答用户问题。 + +示例： +“请把会议记录整理成结论和行动项” → “会议结论与行动项” +“今天的风儿甚是喧嚣”（使用古典诗词 Skill）→ “秋风意象诗词创作” +“这个接口一直 Failed to fetch” → “接口请求失败排查” + +只输出 JSON：{"title":"精炼后的标题"}`, + }, + { + role: "user", + content: JSON.stringify({ + firstUserMessage: input.userMessage.slice(0, 2_000), + actuallyUsedSkills: input.usedSkills.map((skill) => skill.name), + }), + }, + ], + AbortSignal.timeout(12_000), + input.onUsage, + ); + const title = normalizeConversationTitle(result.title); + const normalizedSource = normalizeConversationTitle(input.userMessage); + + if (!title || title === normalizedSource) return fallback; + return title; + } catch { + // Title metadata must never turn an otherwise successful answer into an error. + return fallback; + } +} + +export async function streamTextCompletion(input: { + messages: AiMessage[]; + signal: AbortSignal; + onToken: (token: string) => void; + onUsage?: (usage: ModelCallUsage) => void; +}) { + const response = await requestDeepSeek( + { + messages: input.messages, + temperature: 0.55, + max_tokens: 4_000, + stream: true, + stream_options: { include_usage: true }, + }, + input.signal, + ); + + if (!response.body) { + throw new Error("DeepSeek 没有返回流"); + } + + const reader = response.body.getReader(); + const decoder = new TextDecoder(); + let buffer = ""; + + while (true) { + const { done, value } = await reader.read(); + if (done) break; + buffer += decoder.decode(value, { stream: true }); + + const lines = buffer.split(/\r?\n/); + buffer = lines.pop() ?? ""; + + for (const line of lines) { + if (!line.startsWith("data:")) continue; + const data = line.slice(5).trim(); + if (!data || data === "[DONE]") continue; + + try { + const chunk = JSON.parse(data) as { + model?: string; + choices?: Array<{ delta?: { content?: string | null } }>; + usage?: DeepSeekUsagePayload | null; + }; + reportDeepSeekUsage(chunk.model, chunk.usage, input.onUsage); + const token = chunk.choices?.[0]?.delta?.content; + if (token) input.onToken(token); + } catch { + // A malformed upstream SSE line should not break an otherwise healthy stream. + } + } + } +} + +function skillSearchText(skill: Skill) { + return [ + skill.name, + skill.description, + ...skill.nodes.map((node) => node.content), + ] + .join(" ") + .toLowerCase(); +} + +function keywordSkillDecision(message: string, skills: Skill[]) { + const tokens = message + .toLowerCase() + .split(/[\s，。！？、；：,.!?;:()[\]{}"'“”‘’/\\_-]+/) + .filter((token) => token.length >= 2); + + return skills + .map((skill) => { + const haystack = skillSearchText(skill); + const score = tokens.reduce( + (total, token) => total + (haystack.includes(token) ? 1 : 0), + 0, + ); + return { id: skill.id, score }; + }) + .filter((item) => item.score > 0) + .sort((a, b) => b.score - a.score) + .slice(0, 3) + .map((item) => item.id); +} + +export async function decideSkillUsage( + message: string, + skills: Skill[], + options?: { + signal?: AbortSignal; + history?: ConversationTurn[]; + continuation?: ConversationContinuation; + onUsage?: (usage: ModelCallUsage) => void; + }, +) { + if (skills.length === 0) { + return { + skillIds: [], + source: "no_candidates" as const, + reason: "本轮没有候选 Skill。", + }; + } + + const allowed = new Set(skills.map((skill) => skill.id)); + const retainedSkillIds = (options?.continuation?.skillIds ?? []).filter( + (id) => allowed.has(id), + ); + const recentConversation = (options?.history ?? []).slice(-6); + const continuationReply = classifyContinuationReply(message); + + if ( + retainedSkillIds.length > 0 && + (continuationReply === "accept" || continuationReply === "answer") + ) { + return { + skillIds: retainedSkillIds, + source: "continuation" as const, + reason: `用户正在回应上一轮的${options?.continuation?.state === "offer_pending" ? "具体提议" : "必要追问"}。`, + }; + } + if (retainedSkillIds.length > 0 && continuationReply === "decline") { + return { + skillIds: [], + source: "continuation_declined" as const, + reason: "用户明确拒绝了上一轮的后续动作。", + }; + } + + if (!hasDeepSeekApiKey()) { + if ( + retainedSkillIds.length > 0 && + isLikelySkillContinuationReply(message, recentConversation) + ) { + return { + skillIds: retainedSkillIds, + source: "continuation" as const, + reason: "本地模式识别为上一轮的上下文回复。", + }; + } + return { + skillIds: keywordSkillDecision(message, skills), + source: "keyword_fallback" as const, + reason: "本地演示模式根据当前消息与候选 Skill 的语义词进行匹配。", + }; + } + + const result = await getValidatedJsonCompletion( + skillRouterResultSchema, + [ + { + role: "system", + content: `你是 Skill 路由器。你必须完全独立判断候选 Skill 是否真正有助于回答当前问题。 +只选择与任务直接相关、会实质改变回答过程或格式的 Skill；不要因为用户选中了就使用。 +结合最近对话理解“需要”“可以”“1 小时”等省略回复；如果它是在回答上一轮的具体提议或必要追问，应继续选择相关的候选 Skill。 +如果用户已经切换到新话题，不要沿用上一轮保留的 Skill。 +逐个判断所有候选项；可以一个都不选、只选一个或选择多个。 +reason 用一句话解释本轮选择依据。 +输出 JSON，格式：{"usedSkillIds":["skill_id"],"reason":"选择依据"}。只能返回候选 ID，不得使用关键词匹配等外部规则代替判断。`, + }, + { + role: "user", + content: JSON.stringify({ + question: message, + recentConversation: recentConversation.map((turn) => ({ + role: turn.role, + content: turn.content.slice(-2_000), + })), + retainedCandidateIds: retainedSkillIds, + continuation: options?.continuation + ? { + state: options.continuation.state, + expectedInput: options.continuation.expectedInput, + reason: options.continuation.reason, + } + : null, + candidates: skills.map((skill) => ({ + id: skill.id, + name: skill.name, + description: skill.description, + trigger: skill.nodes.find((node) => node.key === "trigger") + ?.content, + })), + }), + }, + ], + options?.signal, + options?.onUsage, + ); + + return { + skillIds: (result.usedSkillIds ?? []).filter((id) => allowed.has(id)), + source: "ai" as const, + reason: result.reason, + }; +} + +export function isSkillExplanationRequest(message: string) { + const normalized = message.replace(/\s+/g, " ").trim(); + if (!normalized || normalized.length > 100) return false; + + const refersToSkill = /(?:skill|技能)/i.test(normalized); + const asksAboutSkill = + /(?:干嘛|做什么|什么用|用途|作用|功能|介绍|解释|说明|怎么用|如何使用|适用(?:于|场景))/i.test( + normalized, + ); + const includesAnotherTask = + /```|(?:select|insert|update|delete|create|alter)\s+|(?:然后|同时|顺便|另外|接着).{0,12}(?:帮|请|审|查|生成|写|改|优化|处理)/i.test( + normalized, + ); + + return refersToSkill && asksAboutSkill && !includesAnotherTask; +} + +export function buildSkillExplanationResponse(skills: Skill[]) { + if (skills.length === 0) { + return "当前没有可介绍的 Skill。请先选择一个 Skill。"; + } + + return skills + .map((skill) => { + const details = skill.nodes + .filter((node) => node.content.trim()) + .map((node) => `- **${node.title}**：${node.content.trim()}`) + .join("\n"); + + return `### ${skill.name} + +${skill.description.trim()} + +${details}`; + }) + .join("\n\n"); +} + +function fallbackSkillContinuation( + assistantResponse: string, + usedSkills: Skill[], +) { + const detected = + usedSkills.length > 0 + ? detectConversationContinuation(assistantResponse) + : null; + return { + detected, + skillIds: detected ? usedSkills.map((skill) => skill.id) : [], + }; +} + +export async function decideSkillContinuation(input: { + userMessage: string; + assistantResponse: string; + usedSkills: Skill[]; + onUsage?: (usage: ModelCallUsage) => void; +}) { + const fallback = fallbackSkillContinuation( + input.assistantResponse, + input.usedSkills, + ); + const fallbackIds = fallback.skillIds; + if (input.usedSkills.length === 0) { + return { + state: "complete" as const, + skillIds: [], + expectedInput: "", + reason: "本轮未使用 Skill，不需要保留续接状态。", + source: "deterministic" as const, + }; + } + if (fallback.detected) { + return { + state: fallback.detected.state, + skillIds: fallbackIds, + expectedInput: fallback.detected.expectedInput, + reason: fallback.detected.reason, + source: "deterministic" as const, + }; + } + if (!hasDeepSeekApiKey()) { + return { + state: "complete" as const, + skillIds: [], + expectedInput: "", + reason: "本地规则未检测到待续接动作。", + source: "fallback" as const, + }; + } + + try { + const result = await getValidatedJsonCompletion( + skillContinuationResultSchema, + [ + { + role: "system", + content: `你是多轮任务状态判断器。判断助手本轮回复后，当前任务是否明确停在“等待用户提供必要信息、确认选择或补充材料”的状态。 + +规则： +- awaiting_input：助手明确要求用户补充完成任务所必需的信息； +- offer_pending：助手提出了一个具体、可执行的后续动作并正在等待用户接受或拒绝； +- complete：本轮已经交付完成且没有等待用户回应。泛泛的“如果需要我可以继续”“还有什么可以帮你”等礼貌性邀请属于 complete； +- “需要我根据你的时间调整计划吗”“要不要我继续生成迁移步骤”等有明确动作和对象的提议属于 offer_pending； +- 只能保留本轮 actuallyUsedSkills 中下一轮仍必需的 Skill； +- 未实际使用的 Skill 永远不能保留； +- 如果 state 是 complete，keepSkillIds 必须为空； +- expectedInput 简洁描述下一轮期待用户回答的内容；complete 时必须为空； +- reason 用一句话说明状态依据； +- 不要根据问号单独判断，要区分必要追问与可选邀请。 + +只输出 JSON： +{"state":"awaiting_input","keepSkillIds":["skill_id"],"expectedInput":"需要用户补充的内容","reason":"判断理由"}`, + }, + { + role: "user", + content: JSON.stringify({ + userMessage: input.userMessage.slice(0, 4_000), + assistantResponse: input.assistantResponse.slice(-8_000), + actuallyUsedSkills: input.usedSkills.map((skill) => ({ + id: skill.id, + name: skill.name, + description: skill.description, + })), + }), + }, + ], + AbortSignal.timeout(10_000), + input.onUsage, + ); + + const allowedIds = new Set(input.usedSkills.map((skill) => skill.id)); + const modelSkillIds = + result.state !== "complete" + ? result.keepSkillIds.filter((id) => allowedIds.has(id)) + : []; + const state = + modelSkillIds.length > 0 ? result.state : ("complete" as const); + return { + state, + skillIds: state === "complete" ? [] : modelSkillIds, + expectedInput: state === "complete" ? "" : result.expectedInput, + reason: + state === "complete" && result.state !== "complete" + ? "模型未返回有效的待续接 Skill。" + : result.reason, + source: "ai" as const, + }; + } catch { + return { + state: "complete" as const, + skillIds: [], + expectedInput: "", + reason: "状态判断失败，按完成处理以避免 Skill 意外粘连。", + source: "fallback" as const, + }; + } +} + +export function buildChatSystemPrompt(usedSkills: Skill[]) { + const base = `你是 Skill Loom 中的 AI 助手。用清晰、直接、可执行的中文回答。 +不要声称使用了没有提供的工具或外部数据。需要说明不确定性时要具体。 +回答使用 Markdown，但避免不必要的多级标题。 +当用户询问 Skill 本身的用途、能力、使用方式或适用场景时，只能依据提供的 Skill 名称、描述和节点内容回答，不得套用其他 Skill 的说明或自行补充不存在的能力。`; + + if (usedSkills.length === 0) return base; + + const instructions = usedSkills + .map((skill, index) => { + const nodes = skill.nodes + .map((node) => `- ${node.title}：${node.content}`) + .join("\n"); + return `### Skill ${index + 1}: ${skill.name}\n${skill.description}\n${nodes}`; + }) + .join("\n\n"); + + return `${base} + +本轮已由路由器选定以下 Skill。把它们当作工作规范执行；多个 Skill 冲突时，优先保证事实准确与用户的明确要求。不要在正文中泄露内部路由过程。 + +${instructions}`; +} + +export function demoChatResponse(message: string, usedSkills: Skill[]) { + const skillLine = + usedSkills.length > 0 + ? `我会按「${usedSkills.map((skill) => skill.name).join(" → ")}」的规范处理这次问题。\n\n` + : ""; + + if ( + usedSkills.length > 0 && + /(?:还没提供|尚未提供|信息不足|请先询问|需要补充)/.test(message) + ) { + return `${skillLine}要继续完成这项任务，还缺少必要信息。请补充具体的任务原文、目标和期望输出格式？`; + } + + return `${skillLine}这是当前的本地演示回答。你问的是： + +${message + .split("\n") + .map((line) => `> ${line}`) + .join("\n")} + +应用的数据存储、Skill 编排、流式状态和中止逻辑已经工作；配置 \`DEEPSEEK_API_KEY\` 后，这里会由 DeepSeek V4 Flash 实时生成完整答案。 + +你现在可以试试： + +- 输入 \`/\` 快速添加一个 Skill； +- 发送后点击中止按钮； +- 打开 Skill 面板，新建一套自己的工作规范。`; +} + +type BuilderModelResult = { + intent?: "provide_spec" | "request_guidance"; + skillName?: string; + skillDescription?: string; + updates?: Array<{ + nodeKey: SkillNodeKey; + content: string; + completed: boolean; + }>; + suggestions?: string[]; + suggestionNodeKey?: SkillNodeKey; + reply?: string; +}; + +function activeNodeIndex(nodes: SkillNode[]) { + const index = nodes.findIndex((node) => !node.completed); + return index === -1 ? nodes.length - 1 : index; +} + +function fallbackBuilderSuggestions(nodes: SkillNode[]) { + const activeIndex = activeNodeIndex(nodes); + return [...SKILL_NODE_DEFINITIONS[activeIndex].suggestions]; +} + +export async function generateBuilderSuggestions(input: { + nodes: SkillNode[]; + skillName: string; + skillDescription: string; +}) { + const fallback = fallbackBuilderSuggestions(input.nodes); + + if (!hasDeepSeekApiKey()) { + return { + nodeKey: SKILL_NODE_DEFINITIONS[activeNodeIndex(input.nodes)].key, + suggestions: fallback, + source: "demo" as const, + }; + } + + const activeIndex = activeNodeIndex(input.nodes); + const activeDefinition = SKILL_NODE_DEFINITIONS[activeIndex]; + + try { + const result = await getValidatedJsonCompletion( + builderSuggestionsResultSchema, + [ + { + role: "system", + content: `你是 Skill 构建器的快捷答案生成器。根据当前 Skill 上下文，为正在完善的唯一节点生成 2-4 条中文候选答案。 + +要求： +- 每条都是用户点击后可直接发送并写入节点的完整答案，不是问题、标题、操作说明或空泛提示； +- 候选答案要覆盖不同但合理的方向，结合已完成节点避免前后冲突； +- 每条不超过 80 个字符，不使用 Markdown，不要写“你可以”“请补充”等引导语； +- 只为 currentNode 生成，不能提前替用户完成后续节点； +- 候选答案必须遵守下面的工作台能力边界，不得推荐当前系统无法执行的动作； + +${SKILL_RECOMMENDATION_SCOPE_POLICY} + +${SKILL_CAPABILITY_BOUNDARY} + +- nodeKey 必须等于 currentNode.key； +- 只输出 JSON：{"nodeKey":"trigger","suggestions":["完整候选答案一","完整候选答案二"]}`, + }, + { + role: "user", + content: JSON.stringify({ + skill: { + name: input.skillName, + description: input.skillDescription, + completedNodes: input.nodes + .filter((node) => node.completed) + .map((node) => ({ + key: node.key, + title: node.title, + content: node.content, + })), + }, + currentNode: { + key: activeDefinition.key, + title: activeDefinition.title, + goal: activeDefinition.description, + existingContent: input.nodes[activeIndex].content, + }, + }), + }, + ], + AbortSignal.timeout(12_000), + ); + + const suggestions = + result.nodeKey === activeDefinition.key + ? result.suggestions + .map((suggestion) => suggestion.trim()) + .filter( + (suggestion, index, suggestions) => + suggestions.indexOf(suggestion) === index && + findUnsupportedSkillCapabilities(suggestion).length === 0 && + isSuggestionWithinNodeScope( + activeDefinition.key, + suggestion, + ), + ) + .slice(0, 4) + : []; + + return suggestions.length >= 2 + ? { + nodeKey: activeDefinition.key, + suggestions, + source: "ai" as const, + } + : { + nodeKey: activeDefinition.key, + suggestions: fallback, + source: "fallback" as const, + }; + } catch { + // Suggestions are optional accelerators. A provider failure must not block + // the builder, but the UI must clearly identify the local fallback. + return { + nodeKey: activeDefinition.key, + suggestions: fallback, + source: "fallback" as const, + }; + } +} + +function normalizeBuilderResult(input: { + result: BuilderModelResult; + nodes: SkillNode[]; + skillName: string; + skillDescription: string; +}) { + const allowedKeys = new Set( + SKILL_NODE_DEFINITIONS.map((node) => node.key), + ); + const updates = new Map< + SkillNodeKey, + { content: string; completed: boolean } + >(); + const intent = input.result.intent ?? "provide_spec"; + + if (intent === "provide_spec") { + for (const update of input.result.updates ?? []) { + if (!allowedKeys.has(update.nodeKey)) continue; + const content = update.content.trim(); + if (!content) continue; + if (findUnsupportedSkillCapabilities(content).length > 0) continue; + const quality = evaluateSkillNodeQuality(update.nodeKey, content); + updates.set(update.nodeKey, { + content, + completed: Boolean(update.completed && quality.complete), + }); + } + } + + const now = new Date().toISOString(); + const nodes = input.nodes.map((node) => { + const update = updates.get(node.key); + if (!update) { + return { + ...node, + ready: node.ready ?? node.completed, + }; + } + const ready = update.completed; + return { + ...node, + content: update.content, + ready, + completed: ready, + updatedAt: now, + }; + }); + + // `ready` records the AI's semantic completeness decision. `completed` is + // the visible contiguous progress, so later ready nodes unlock immediately + // after the first missing node is completed. + let blockedByEarlierNode = false; + const sequentialNodes = nodes.map((node) => { + const completed = + !blockedByEarlierNode && + Boolean(node.ready) && + evaluateSkillNodeQuality(node.key, node.content).complete; + if (!completed) blockedByEarlierNode = true; + return { ...node, completed }; + }); + + const activeIndex = activeNodeIndex(sequentialNodes); + const allComplete = sequentialNodes.every((node) => node.completed); + const automaticallyUnlocked = sequentialNodes.filter( + (node, index) => + node.completed && + !input.nodes[index].completed && + !updates.has(node.key), + ); + const defaultReply = allComplete + ? "五个节点都已经形成可执行规范。你可以继续描述想修改的内容，或保存这个 Skill。" + : SKILL_NODE_DEFINITIONS[activeIndex].prompt; + let reply = input.result.reply?.trim() || defaultReply; + const qualityFailures = [...updates.entries()].flatMap(([key, update]) => { + if (update.completed) return []; + const quality = evaluateSkillNodeQuality(key, update.content); + if (quality.complete) return []; + const title = SKILL_NODE_DEFINITIONS.find( + (definition) => definition.key === key, + )?.title; + return quality.missing.map( + (missing) => `${title ?? key}还缺少：${missing}`, + ); + }); + + if (qualityFailures.length > 0) { + reply = `已保存本轮提供的内容，但还不能标记为完成：${qualityFailures.join("；")}。\n\n${SKILL_NODE_DEFINITIONS[activeIndex].prompt}`; + } else if (allComplete) { + const updatedTitles = [...updates.keys()] + .map( + (key) => + SKILL_NODE_DEFINITIONS.find((definition) => definition.key === key) + ?.title, + ) + .filter(Boolean) + .join("、"); + const unlockedTitles = automaticallyUnlocked + .map((node) => node.title) + .join("、"); + reply = [ + updatedTitles ? `已更新「${updatedTitles}」。` : "", + unlockedTitles ? `之前准备好的「${unlockedTitles}」也已自动解锁。` : "", + "五个节点都已经形成可执行规范，你可以继续描述修改内容，或保存这个 Skill。", + ].join(""); + } else if (!/[？?]/.test(reply)) { + reply = `${reply}\n\n${SKILL_NODE_DEFINITIONS[activeIndex].prompt}`; + } + + return { + reply, + intent, + skillName: + input.result.skillName?.trim().slice(0, 40) || + input.skillName || + "未命名 Skill", + skillDescription: + input.result.skillDescription?.trim().slice(0, 180) || + input.skillDescription, + activeNode: SKILL_NODE_DEFINITIONS[activeIndex].key, + updatedNodeKeys: [...updates.keys()], + suggestionNodeKey: SKILL_NODE_DEFINITIONS[activeIndex].key, + nodeQuality: sequentialNodes.map((node) => { + const quality = evaluateSkillNodeQuality(node.key, node.content); + return { + key: node.key, + passed: quality.complete, + missing: quality.missing, + }; + }), + suggestions: (() => { + const modelSuggestions = ( + input.result.suggestions?.map((item) => item.trim()).filter(Boolean) ?? + [] + ) + .filter( + (item, index, items) => + items.indexOf(item) === index && + findUnsupportedSkillCapabilities(item).length === 0 && + isSuggestionWithinNodeScope( + SKILL_NODE_DEFINITIONS[activeIndex].key, + item, + ), + ) + .slice(0, 4); + + return input.result.suggestionNodeKey === + SKILL_NODE_DEFINITIONS[activeIndex].key && + modelSuggestions.length >= 2 + ? modelSuggestions + : fallbackBuilderSuggestions(sequentialNodes); + })(), + nodes: sequentialNodes, + } satisfies BuilderEvaluation; +} + +function demoBuilderEvaluation(input: { + message: string; + nodes: SkillNode[]; + skillName: string; + skillDescription: string; +}) { + const currentDefinition = + SKILL_NODE_DEFINITIONS[activeNodeIndex(input.nodes)]; + const guidanceRequestPatterns = [ + /^(?:请问|我想问|想问)?(?:有哪些|有什么|举(?:个|些)例|比如呢|什么意思|怎么(?:填|写|回答)|如何(?:填|写|回答)|可以(?:给|举)|能否(?:给|举)|请(?:给|举)|帮我(?:想|列)|我不知道|不确定)/, + /(?:给我|帮我).*(?:例子|示例|建议|选项)/, + /(?:有哪些|有什么).*(?:任务|场景|例子|示例|选择)/, + /(?:是什么意思|该怎么回答|应该怎么写)/, + ]; + const trimmedMessage = input.message.trim(); + const hasExplicitSpecificationFraming = + /(?:当用户|应当触发|不应触发|适用于|不适用于|必须|不得|输入为|输出为|先.+再)/.test( + trimmedMessage, + ); + const requestsGuidance = + !hasExplicitSpecificationFraming && + guidanceRequestPatterns.some((pattern) => pattern.test(trimmedMessage)); + + if (requestsGuidance) { + const guidanceReplies: Record = { + trigger: + "可以。典型任务例如：把会议记录整理成行动清单、检查一段 SQL 的安全风险、把零散信息整理成决策备忘录。你可以选一个接近的方向，或者告诉我你希望这个 Skill 主要帮谁解决什么问题？", + inputs: + "可以从三类输入考虑：用户必须提供的内容、可选的偏好，以及缺失时可采用的默认值。这个 Skill 最少需要用户提供哪一项信息才能开始？", + steps: + "常见执行步骤是：接收并检查输入、分析任务、按规则生成结果、最后复核。你的 Skill 在收到输入后，第一件必须做的事是什么？", + output: + "常见输出可以是 Markdown 报告、结构化 JSON、表格或一段简洁建议。你希望用户最终拿到哪一种？", + constraints: + "常见约束包括：不得编造信息、缺少关键输入时必须追问、输出必须通过格式检查。哪一条对你的 Skill 最重要？", + }; + + return normalizeBuilderResult({ + result: { + intent: "request_guidance", + updates: [], + suggestions: [...currentDefinition.suggestions], + suggestionNodeKey: currentDefinition.key, + reply: guidanceReplies[currentDefinition.key], + }, + nodes: input.nodes, + skillName: input.skillName, + skillDescription: input.skillDescription, + }); + } + + const routeSignals: Array<[SkillNodeKey, RegExp[]]> = [ + [ + "trigger", + [/触发/, /适用/, /何时|什么时候/, /当.+时/, /使用场景/, /不处理/], + ], + ["inputs", [/输入/, /参数/, /必填/, /可选/, /默认值/, /需要提供/]], + ["steps", [/步骤/, /流程/, /先.+再/, /然后/, /依次/, /执行过程/]], + ["output", [/输出/, /格式/, /表格/, /结构/, /篇幅/, /语气/, /交付物/]], + [ + "constraints", + [/约束/, /禁止/, /不得/, /必须/, /验收/, /测试/, /反例/, /质量门槛/], + ], + ]; + const segments = input.message + .split(/[\n；;]+/) + .map((segment) => segment.trim()) + .filter(Boolean); + const routedSegments = new Map(); + + for (const segment of segments) { + const match = routeSignals + .map(([key, patterns]) => ({ + key, + score: patterns.filter((pattern) => pattern.test(segment)).length, + })) + .sort((left, right) => right.score - left.score) + .find((item) => item.score > 0); + if (!match) continue; + routedSegments.set(match.key, [ + ...(routedSegments.get(match.key) ?? []), + segment, + ]); + } + + if (routedSegments.size === 0) { + const routedKey = + routeSignals + .map(([key, patterns]) => ({ + key, + score: patterns.filter((pattern) => pattern.test(input.message)) + .length, + })) + .sort((left, right) => right.score - left.score) + .find((item) => item.score > 0)?.key ?? + SKILL_NODE_DEFINITIONS[activeNodeIndex(input.nodes)].key; + routedSegments.set(routedKey, [input.message]); + } + + const routedUpdates = SKILL_NODE_DEFINITIONS.flatMap((definition, index) => { + const additions = routedSegments.get(definition.key); + if (!additions) return []; + const existing = input.nodes[index]; + const addition = additions.join("\n"); + return [ + { + nodeKey: definition.key, + content: existing.content + ? `${existing.content}\n补充：${addition}` + : addition, + completed: addition.trim().length >= 6, + }, + ]; + }); + const routedKeys = routedUpdates.map((update) => update.nodeKey); + const shortSource = input.message + .replace(/^当用户(?:需要|希望)?/, "") + .replace(/^把/, "") + .replace(/[，。！？、；：,.!?;:]/g, " ") + .trim() + .slice(0, 8); + + return normalizeBuilderResult({ + result: { + intent: "provide_spec", + skillName: + input.skillName === "未命名 Skill" + ? `${shortSource || "自定义"}助手` + : input.skillName, + skillDescription: + input.skillDescription || + `根据对话沉淀的「${shortSource || "自定义任务"}」执行规范。`, + updates: routedUpdates, + reply: + routedUpdates.length > 1 + ? `AI 判断这段信息同时涵盖「${routedKeys + .map( + (key) => + SKILL_NODE_DEFINITIONS.find((node) => node.key === key) + ?.title, + ) + .join("、")}」，已一并整理；进度会按顺序解锁。` + : routedUpdates[0].completed + ? `AI 判断这段信息属于「${SKILL_NODE_DEFINITIONS.find((node) => node.key === routedUpdates[0].nodeKey)?.title}」，已完成更新。` + : `AI 判断这段信息属于「${SKILL_NODE_DEFINITIONS.find((node) => node.key === routedUpdates[0].nodeKey)?.title}」，但还需要一个更具体的例子。`, + }, + nodes: input.nodes, + skillName: input.skillName, + skillDescription: input.skillDescription, + }); +} + +export async function evaluateBuilderTurn(input: { + message: string; + nodes: SkillNode[]; + skillName: string; + skillDescription: string; + messages: Array<{ role: "user" | "assistant"; content: string }>; + signal?: AbortSignal; +}) { + const unsupportedCapabilities = findUnsupportedSkillCapabilities( + input.message, + ); + if (unsupportedCapabilities.length > 0) { + return normalizeBuilderResult({ + result: { + intent: "request_guidance", + updates: [], + suggestions: fallbackBuilderSuggestions(input.nodes), + suggestionNodeKey: + SKILL_NODE_DEFINITIONS[activeNodeIndex(input.nodes)].key, + reply: `${skillCapabilityErrorMessage(unsupportedCapabilities)}你希望改成“由用户粘贴运行结果后分析”，还是“仅提供手动操作步骤和示例代码”？`, + }, + nodes: input.nodes, + skillName: input.skillName, + skillDescription: input.skillDescription, + }); + } + + if (!hasDeepSeekApiKey()) { + return demoBuilderEvaluation(input); + } + + const result = await getValidatedJsonCompletion( + builderModelResultSchema, + [ + { + role: "system", + content: `你是 Skill 规范设计师。你要通过自然对话把模糊需求整理成可执行 Skill。 + +五个节点必须严格按顺序完成：触发条件 → 输入参数 → 执行步骤 → 输出格式 → 约束与测试。 +用户不会手动指定要编辑哪个节点。你必须根据最新消息的语义，自主判断它应该更新一个或多个节点。 +如果一条消息同时涵盖多个节点，updates 必须包含所有真正被覆盖的节点，不能只更新当前节点。 +可以修改已经完成的节点，也可以提前评估后续节点的内容。completed 表示该节点内容本身是否已经具体、完整、可执行；即使前置节点尚未完成，只要后续节点内容本身合格，也应返回 completed: true。服务端会保存这个判断并控制界面只能按顺序解锁。 +例如用户一次提供了第 1、2、3、5 节点的合格内容，应为这四个节点都返回 completed: true；界面只会先完成 1、2、3。用户之后补齐第 4 节点时，之前准备好的第 5 节点会自动完成。 +不要反问用户“想修改哪个节点”，直接根据内容归类。 + +先判断本轮意图： +- provide_spec：用户正在陈述、确认或补充 Skill 规范，只有这种意图才允许 updates 包含节点更新； +- request_guidance：用户在提问、索要示例/建议、表示不知道如何回答，或只是要求 AI 解释。此时 updates 必须为空，不得将用户的问题当成节点内容，也不得完成节点；reply 应先直接提供帮助，再提出一个更容易回答的跟进问题。 +- “有哪些典型任务”“能给几个例子吗”“这个是什么意思”“我不知道怎么写”都属于 request_guidance。 + +完成标准： +- 内容必须具体、可执行，不能只有愿望或口号； +- 所有节点、Skill 描述和 suggestions 都必须遵守下面的工作台能力边界； +- 如果用户要求超出能力边界，不得写入 updates；应解释限制，并建议改为让用户提供外部执行结果后再分析； + +${SKILL_RECOMMENDATION_SCOPE_POLICY} + +${SKILL_CAPABILITY_BOUNDARY} + +- updates 只包含本轮真正需要修改的节点；如果本轮只是澄清或无法归类，可以返回空数组； +- 每个 update 的 content 是合并旧内容与新信息后的完整规范，不是聊天摘要； +- 信息足够时将对应节点 completed 设为 true； +- 仍有任一未完成节点时，reply 必须继续追问一个最关键、可直接回答的问题； +- 如果 intent 为 provide_spec 且最近两次已经问过近似问题，可以采用合理默认值、明确告知用户，并将当前节点完成，避免卡住；request_guidance 永远不能因此完成节点； +- reply 先说明 AI 判断更新了哪些节点，再提出唯一的下一问题；全部完成时才不再追问； +- suggestions 必须给出 2-4 个针对当前待完善节点、用户可直接采用或继续补充的短建议；不能重复用户已经确认的内容； +- suggestionNodeKey 必须等于应用本轮 updates 后的第一个未完成节点；全部节点完成时仍填写 constraints； +- 根据已有内容持续改进 skillName（2-12 个汉字为佳）与 skillDescription。 + +只输出 JSON： +{ + "intent": "provide_spec", + "skillName": "名称", + "skillDescription": "一句话说明", + "updates": [ + { + "nodeKey": "trigger", + "content": "合并整理后的完整节点内容", + "completed": true + } + ], + "suggestionNodeKey": "inputs", + "suggestions": ["可直接采用的建议一", "可直接采用的建议二", "可直接采用的建议三"], + "reply": "对用户的简洁回复" +}`, + }, + { + role: "user", + content: JSON.stringify({ + currentSkill: { + name: input.skillName, + description: input.skillDescription, + nodes: input.nodes.map((node) => ({ + key: node.key, + title: node.title, + content: node.content, + ready: node.ready ?? node.completed, + completed: node.completed, + })), + }, + recentConversation: input.messages.slice(-10), + firstIncompleteNode: + SKILL_NODE_DEFINITIONS[activeNodeIndex(input.nodes)].key, + latestUserMessage: input.message, + }), + }, + ], + input.signal, + ); + + return normalizeBuilderResult({ + result, + nodes: input.nodes, + skillName: input.skillName, + skillDescription: input.skillDescription, + }); +} diff --git a/src/lib/model-usage.ts b/src/lib/model-usage.ts new file mode 100644 index 0000000..862f26d --- /dev/null +++ b/src/lib/model-usage.ts @@ -0,0 +1,261 @@ +import type { + MessageUsage, + ModelCallUsage, + TokenUsage, +} from "@/lib/types"; + +type DeepSeekPricing = { + cacheHitInputCnyPerMillion: number; + cacheMissInputCnyPerMillion: number; + outputCnyPerMillion: number; + version: string; +}; + +const ZERO_TOKENS: TokenUsage = { + promptTokens: 0, + promptCacheHitTokens: 0, + promptCacheMissTokens: 0, + completionTokens: 0, + reasoningTokens: 0, + totalTokens: 0, +}; + +const DEFAULT_DEEPSEEK_PRICING: Record = { + "deepseek-v4-flash": { + cacheHitInputCnyPerMillion: 0.02, + cacheMissInputCnyPerMillion: 1, + outputCnyPerMillion: 2, + version: "deepseek-2026-04-24", + }, + "deepseek-v4-pro": { + cacheHitInputCnyPerMillion: 0.025, + cacheMissInputCnyPerMillion: 3, + outputCnyPerMillion: 6, + version: "deepseek-2026-04-24", + }, +}; + +function finiteNonNegative(value: unknown) { + return typeof value === "number" && Number.isFinite(value) && value >= 0 + ? value + : 0; +} + +function configuredRate(name: string, fallback: number) { + const value = Number(process.env[name]); + return Number.isFinite(value) && value >= 0 ? value : fallback; +} + +function getDeepSeekPricing(model: string): DeepSeekPricing | null { + const defaults = DEFAULT_DEEPSEEK_PRICING[model]; + if (!defaults) return null; + + return { + cacheHitInputCnyPerMillion: configuredRate( + "DEEPSEEK_PRICE_CACHE_HIT_INPUT_CNY_PER_MILLION", + defaults.cacheHitInputCnyPerMillion, + ), + cacheMissInputCnyPerMillion: configuredRate( + "DEEPSEEK_PRICE_CACHE_MISS_INPUT_CNY_PER_MILLION", + defaults.cacheMissInputCnyPerMillion, + ), + outputCnyPerMillion: configuredRate( + "DEEPSEEK_PRICE_OUTPUT_CNY_PER_MILLION", + defaults.outputCnyPerMillion, + ), + version: + process.env.DEEPSEEK_PRICE_VERSION?.trim() || defaults.version, + }; +} + +export function createMessageUsage( + mode: "provider" | "demo", +): MessageUsage { + return { + ...ZERO_TOKENS, + status: mode === "demo" ? "demo" : "unavailable", + models: [], + callCount: 0, + estimatedCostMicros: mode === "demo" ? 0 : undefined, + currency: "CNY", + }; +} + +export function estimateDeepSeekCallUsage(input: { + model: string; + promptTokens: number; + promptCacheHitTokens?: number; + promptCacheMissTokens?: number; + completionTokens: number; + reasoningTokens?: number; + totalTokens?: number; +}): ModelCallUsage { + const promptTokens = Math.round(finiteNonNegative(input.promptTokens)); + const promptCacheHitTokens = Math.min( + promptTokens, + Math.round(finiteNonNegative(input.promptCacheHitTokens)), + ); + const promptCacheMissTokens = Math.min( + promptTokens - promptCacheHitTokens, + Math.round( + input.promptCacheMissTokens === undefined + ? promptTokens - promptCacheHitTokens + : finiteNonNegative(input.promptCacheMissTokens), + ), + ); + const completionTokens = Math.round( + finiteNonNegative(input.completionTokens), + ); + const reasoningTokens = Math.min( + completionTokens, + Math.round(finiteNonNegative(input.reasoningTokens)), + ); + const totalTokens = Math.round( + finiteNonNegative( + input.totalTokens ?? promptTokens + completionTokens, + ), + ); + const pricing = getDeepSeekPricing(input.model); + const estimatedCostMicros = pricing + ? Math.round( + promptCacheHitTokens * pricing.cacheHitInputCnyPerMillion + + promptCacheMissTokens * pricing.cacheMissInputCnyPerMillion + + completionTokens * pricing.outputCnyPerMillion, + ) + : undefined; + + return { + model: input.model, + promptTokens, + promptCacheHitTokens, + promptCacheMissTokens, + completionTokens, + reasoningTokens, + totalTokens, + estimatedCostMicros, + currency: pricing ? "CNY" : undefined, + pricingVersion: pricing?.version, + }; +} + +export function addModelCallUsage( + summary: MessageUsage, + call: ModelCallUsage, +): MessageUsage { + const hasComparableCost = + call.currency === "CNY" && + typeof call.estimatedCostMicros === "number"; + const canAggregateCost = + hasComparableCost && + (summary.callCount === 0 || + typeof summary.estimatedCostMicros === "number"); + const previousCost = + typeof summary.estimatedCostMicros === "number" + ? summary.estimatedCostMicros + : 0; + + return { + status: "measured", + models: summary.models.includes(call.model) + ? summary.models + : [...summary.models, call.model], + callCount: summary.callCount + 1, + promptTokens: summary.promptTokens + call.promptTokens, + promptCacheHitTokens: + summary.promptCacheHitTokens + call.promptCacheHitTokens, + promptCacheMissTokens: + summary.promptCacheMissTokens + call.promptCacheMissTokens, + completionTokens: + summary.completionTokens + call.completionTokens, + reasoningTokens: summary.reasoningTokens + call.reasoningTokens, + totalTokens: summary.totalTokens + call.totalTokens, + estimatedCostMicros: canAggregateCost + ? previousCost + call.estimatedCostMicros! + : undefined, + currency: "CNY", + pricingVersion: + summary.pricingVersion && + summary.pricingVersion !== call.pricingVersion + ? "mixed" + : call.pricingVersion ?? summary.pricingVersion, + }; +} + +export function finalizeMessageUsage( + usage: MessageUsage, + terminalStatus: "complete" | "stopped" | "error", + durationMs?: number, +): MessageUsage { + const finalizedDuration = + typeof durationMs === "number" + ? Math.round(finiteNonNegative(durationMs)) + : usage.durationMs; + if (usage.status === "demo") { + return { ...usage, durationMs: finalizedDuration }; + } + if (usage.callCount === 0) { + return { + ...usage, + status: "unavailable", + durationMs: finalizedDuration, + }; + } + return { + ...usage, + status: terminalStatus === "complete" ? "measured" : "partial", + durationMs: finalizedDuration, + }; +} + +export function parseMessageUsage(value: unknown) { + if (typeof value !== "string" || !value.trim()) return undefined; + + try { + const usage = JSON.parse(value) as Partial; + if ( + !["measured", "partial", "demo", "unavailable"].includes( + usage.status ?? "", + ) || + !Array.isArray(usage.models) + ) { + return undefined; + } + + return { + status: usage.status!, + models: usage.models.filter( + (model): model is string => typeof model === "string", + ), + callCount: Math.round(finiteNonNegative(usage.callCount)), + promptTokens: Math.round(finiteNonNegative(usage.promptTokens)), + promptCacheHitTokens: Math.round( + finiteNonNegative(usage.promptCacheHitTokens), + ), + promptCacheMissTokens: Math.round( + finiteNonNegative(usage.promptCacheMissTokens), + ), + completionTokens: Math.round( + finiteNonNegative(usage.completionTokens), + ), + reasoningTokens: Math.round( + finiteNonNegative(usage.reasoningTokens), + ), + totalTokens: Math.round(finiteNonNegative(usage.totalTokens)), + durationMs: + typeof usage.durationMs === "number" + ? Math.round(finiteNonNegative(usage.durationMs)) + : undefined, + estimatedCostMicros: + typeof usage.estimatedCostMicros === "number" + ? Math.round(finiteNonNegative(usage.estimatedCostMicros)) + : undefined, + currency: "CNY" as const, + pricingVersion: + typeof usage.pricingVersion === "string" + ? usage.pricingVersion + : undefined, + } satisfies MessageUsage; + } catch { + return undefined; + } +} diff --git a/src/lib/skill-capabilities.ts b/src/lib/skill-capabilities.ts new file mode 100644 index 0000000..68e3a80 --- /dev/null +++ b/src/lib/skill-capabilities.ts @@ -0,0 +1,95 @@ +export const SKILL_CAPABILITY_BOUNDARY = `能力边界： +- Skill 只能基于当前对话中用户提供的文字、代码片段、数据和上下文进行分析、整理、改写、生成与推理； +- Skill 不能声称会执行或运行脚本、代码、命令和程序； +- Skill 不能声称会调用、请求、连接或对接外部 API、第三方服务； +- Skill 不能自行联网搜索、抓取实时数据，也不能读取或修改用户本地文件； +- 如果任务依赖这些外部操作，应要求用户粘贴相关内容或运行结果，再对其进行分析；也可以提供由用户手动执行的步骤、示例代码或检查清单。`; + +const unsupportedClaims = [ + { + label: "运行脚本、代码或命令", + pattern: + /(?:执行|运行|启动|调用|编译|安装|部署).{0,16}(?:脚本|代码|命令|程序|shell|bash|powershell|python|node(?:\.js)?|npm)/gi, + }, + { + label: "调用外部 API 或第三方服务", + pattern: + /(?:调用|请求|访问|连接|对接|集成).{0,16}(?:(?:外部|第三方|远程|在线)\s*)?(?:api|接口|服务)|通过.{0,8}(?:api|接口).{0,12}(?:获取|查询|发送|修改|创建|删除)/gi, + }, + { + label: "联网搜索或抓取外部数据", + pattern: + /(?:联网|上网|浏览|搜索|抓取|爬取|下载).{0,20}(?:网页|网站|互联网|网络|在线|实时|最新|数据|资料)/gi, + }, + { + label: "读取或修改本地文件和环境", + pattern: + /(?:读取|访问|扫描|修改|写入|删除).{0,16}(?:本地|用户)?(?:文件|目录|文件系统|数据库|运行环境)/gi, + }, +] as const; + +function isNegated(segment: string, matchIndex: number) { + const prefix = segment.slice(Math.max(0, matchIndex - 16), matchIndex); + return /(?:不|不要|不得|禁止|避免|无需|不能|不会|不可|严禁|不应|不支持|不允许).{0,10}$/.test( + prefix, + ); +} + +function isUserExecutedOrAdvisory(segment: string, matchIndex: number) { + const prefix = segment.slice(Math.max(0, matchIndex - 28), matchIndex); + return /(?:如何|怎么|怎样|指导用户?|教(?:会)?用户?|帮助用户|要求用户|请用户|让用户|用户手动|手动|审阅|检查|分析|评估).{0,10}$/.test( + prefix, + ); +} + +export function findUnsupportedSkillCapabilities(value: string) { + const violations = new Set(); + const segments = value + .split(/[\n。！？；;!?]+/) + .map((segment) => segment.trim()) + .filter(Boolean); + + for (const segment of segments) { + for (const claim of unsupportedClaims) { + claim.pattern.lastIndex = 0; + for ( + let match = claim.pattern.exec(segment); + match; + match = claim.pattern.exec(segment) + ) { + if ( + !isNegated(segment, match.index) && + !isUserExecutedOrAdvisory(segment, match.index) + ) { + violations.add(claim.label); + } + } + } + } + + return [...violations]; +} + +export function getSkillCapabilityViolations(input: { + name: string; + description: string; + nodes: Array<{ title: string; content: string }>; +}) { + const fields = [ + { label: "Skill 描述", value: input.description }, + ...input.nodes.map((node) => ({ + label: node.title, + value: node.content, + })), + ]; + + return fields.flatMap((field) => + findUnsupportedSkillCapabilities(field.value).map( + (violation) => `${field.label}：${violation}`, + ), + ); +} + +export function skillCapabilityErrorMessage(violations: string[]) { + return `当前工作台不支持 Skill 执行脚本、调用外部 API、联网取数或访问本地文件。请改为让用户提供相关内容或运行结果后再分析。需修改：${violations.join("；")}`; +} diff --git a/src/lib/skill-continuation.ts b/src/lib/skill-continuation.ts new file mode 100644 index 0000000..6f26f0f --- /dev/null +++ b/src/lib/skill-continuation.ts @@ -0,0 +1,142 @@ +export type ConversationTurn = { + role: "user" | "assistant"; + content: string; +}; + +export type DetectedContinuation = { + state: "awaiting_input" | "offer_pending"; + expectedInput: string; + reason: string; +}; + +export type ContinuationReplyKind = + | "accept" + | "decline" + | "answer" + | "new_topic" + | "uncertain"; + +function normalizeText(value: string) { + return value.replace(/\s+/g, " ").trim(); +} + +function requestsRequiredInput(response: string) { + return /(?:请|需要你|还需要|为了继续|开始前).{0,28}(?:提供|补充|确认|选择|告诉)|(?:缺少|尚未提供|信息不足).{0,30}[？?]?|(?:请问|能否请你).*[？?]/.test( + response, + ); +} + +function makesConcreteOffer(response: string) { + const action = + "(?:根据|为你|帮你|继续|调整|细化|制定|生成|改写|审阅|优化|补充|整理|展开|执行|开始)"; + + return ( + new RegExp( + `(?:需要我|要不要我|是否需要我|是否要我|想让我|要我).{0,100}${action}.{0,80}(?:吗|呢)?[？?]?\\s*$`, + ).test(response) || + new RegExp( + `(?:我可以|我能).{0,80}${action}.{0,60}(?:需要吗|要继续吗|可以吗|好吗)[？?]?\\s*$`, + ).test(response) + ); +} + +export function isActionableSkillContinuation(assistantResponse: string) { + return detectConversationContinuation(assistantResponse) !== null; +} + +function expectedInputFromResponse(response: string) { + const lines = response + .split(/\n+/) + .map((line) => line.trim()) + .filter(Boolean); + return (lines.at(-1) ?? response).slice(-240); +} + +export function detectConversationContinuation( + assistantResponse: string, +): DetectedContinuation | null { + const normalized = normalizeText(assistantResponse); + if (!normalized) return null; + + if (makesConcreteOffer(normalized)) { + return { + state: "offer_pending", + expectedInput: expectedInputFromResponse(assistantResponse), + reason: "assistant_made_concrete_offer", + }; + } + if (requestsRequiredInput(normalized)) { + return { + state: "awaiting_input", + expectedInput: expectedInputFromResponse(assistantResponse), + reason: "assistant_requested_required_input", + }; + } + return null; +} + +export function classifyContinuationReply( + userMessage: string, +): ContinuationReplyKind { + const reply = normalizeText(userMessage); + if (!reply) return "uncertain"; + + const normalized = reply.replace(/[。！？!?]+$/g, ""); + if ( + /^(?:不需要|不用|不必|算了|取消|先不用|不用了|不了|否)$/.test( + normalized, + ) + ) { + return "decline"; + } + + if ( + /(?:换个|另一个|另外|顺便|新问题|改问|不聊这个)|^(?:如何|怎么|为什么|什么是|介绍一下)|^(?:请|请你|帮我|麻烦你|能否).{0,12}(?:写|生成|查询|搜索|查一下|翻译|总结|分析|审阅|优化|排查)/.test( + normalized, + ) + ) { + return "new_topic"; + } + + if ( + /^(?:需要|要|可以|好|好的|好啊|行|行的|继续|请继续|可以的|没问题|麻烦了|就这样|按这个来)$/.test( + normalized, + ) + ) { + return "accept"; + } + + if ( + /^(?:(?:每天|每周|每月)\s*)?\d+(?:\.\d+)?\s*(?:分钟|小时|天|周|月|次|个)?|^(?:选|选择)?[A-D一二三四1234]|^(?:我的|目标|经验|时间|预算|格式|平台|语言|受众|日期|截止)/i.test( + normalized, + ) + ) { + return "answer"; + } + + return "uncertain"; +} + +export function isLikelySkillContinuationReply( + userMessage: string, + history: ConversationTurn[], +) { + const reply = normalizeText(userMessage); + if (!reply || reply.length > 120) return false; + + const replyKind = classifyContinuationReply(reply); + if (replyKind === "decline" || replyKind === "new_topic") return false; + if (replyKind === "accept" || replyKind === "answer") return true; + + const previousAssistant = [...history] + .reverse() + .find((turn) => turn.role === "assistant" && turn.content.trim()); + if (!previousAssistant) return false; + + const previousResponse = normalizeText(previousAssistant.content); + const wasWaitingForReply = + isActionableSkillContinuation(previousResponse) || + /[？?]\s*$/.test(previousResponse); + + return wasWaitingForReply; +} diff --git a/src/lib/skill-node-quality.ts b/src/lib/skill-node-quality.ts new file mode 100644 index 0000000..2168e42 --- /dev/null +++ b/src/lib/skill-node-quality.ts @@ -0,0 +1,108 @@ +export type SkillQualityNodeKey = + | "trigger" + | "inputs" + | "steps" + | "output" + | "constraints"; + +export type SkillNodeQuality = { + complete: boolean; + missing: string[]; +}; + +function normalizedContent(content: string) { + return content.replace(/\s+/g, " ").trim(); +} + +function hasOrderedSteps(content: string) { + const numberedSteps = + content.match(/(?:^|[\n；;。])\s*(?:步骤\s*)?\d+[.、):：]/g)?.length ?? 0; + const sequenceMarkers = ["先", "再", "然后", "接着", "最后", "最终"].filter( + (marker) => content.includes(marker), + ).length; + const actionSegments = content + .split(/[\n；;。]+/) + .filter((segment) => + /(?:检查|识别|提取|分析|整理|比较|判断|生成|输出|复核|验证|标记)/.test( + segment, + ), + ).length; + + return numberedSteps >= 2 || sequenceMarkers >= 2 || actionSegments >= 2; +} + +export function evaluateSkillNodeQuality( + nodeKey: SkillQualityNodeKey, + content: string, +): SkillNodeQuality { + const normalized = normalizedContent(content); + const missing: string[] = []; + + if (normalized.length < 8) { + missing.push("内容过短，尚未形成可执行规范"); + return { complete: false, missing }; + } + + switch (nodeKey) { + case "trigger": + if ( + !/(?:当|如果|遇到|用户|场景|适用|触发|不处理|不适用|请求)/.test( + normalized, + ) + ) { + missing.push("需要说明何时触发或适用场景"); + } + break; + case "inputs": + if ( + !/(?:必填|可选|输入|参数|提供|原文|材料|目标|字段|默认|缺失)/.test( + normalized, + ) + ) { + missing.push("需要列明执行所需的输入信息"); + } + break; + case "steps": + if (!hasOrderedSteps(normalized)) { + missing.push("需要至少两个有明确顺序的执行动作"); + } + break; + case "output": + if ( + !/(?:输出|结果|格式|结构|标题|字段|表格|Markdown|JSON|列表|篇幅|语气|字数|包含)/i.test( + normalized, + ) + ) { + missing.push("需要明确结果结构、字段或格式"); + } + break; + case "constraints": + if ( + !/(?:不得|不能|禁止|必须|至少|至多|缺少|不足|失败|异常|验收|测试|反例|确保|待确认|质量)/.test( + normalized, + ) + ) { + missing.push("需要至少一条约束、质量标准或验收条件"); + } + break; + } + + return { complete: missing.length === 0, missing }; +} + +export function getSkillNodeQualityIssues( + nodes: Array<{ + key: SkillQualityNodeKey; + title: string; + content: string; + }>, +) { + return nodes.flatMap((node) => { + const quality = evaluateSkillNodeQuality(node.key, node.content); + return quality.missing.map((missing) => `${node.title}：${missing}`); + }); +} + +export function skillNodeQualityErrorMessage(issues: string[]) { + return `Skill 节点尚未达到可发布标准。需补充：${issues.join("；")}`; +} diff --git a/src/lib/skill-recommendation-scope.ts b/src/lib/skill-recommendation-scope.ts new file mode 100644 index 0000000..bf43238 --- /dev/null +++ b/src/lib/skill-recommendation-scope.ts @@ -0,0 +1,60 @@ +export type SkillRecommendationNodeKey = + | "trigger" + | "inputs" + | "steps" + | "output" + | "constraints"; + +export const SKILL_RECOMMENDATION_SCOPE_POLICY = `Skill 创建流程固定且只有以下五个节点，不得增加第六类内容： +1. 触发条件：只描述什么时候使用、典型任务和不适用场景； +2. 输入参数：只描述必填/可选信息、字段、默认值和缺失输入； +3. 执行步骤：只描述 AI 在当前对话内按什么顺序分析、判断、生成和复核； +4. 输出格式：只描述结果的结构、字段、格式、篇幅和语气； +5. 约束与测试：只描述禁止事项、质量标准、失败处理和验收用例。 + +推荐内容必须只属于 currentNode，且能直接作为该节点的答案。不得推荐 Skill 名称、Skill 描述、额外模块、部署方案或其他流程。`; + +const nodeLabels: Record = { + trigger: /触发条件/, + inputs: /输入参数/, + steps: /执行步骤/, + output: /输出格式/, + constraints: /约束与测试/, +}; + +const nodeSignals: Record = { + trigger: + /(?:当|如果|遇到|用户|场景|适用|触发|不处理|不适用|处理|任务|请求)/, + inputs: + /(?:必填|可选|输入|提供|所需|需要|字段|参数|原文|材料|目标|偏好|默认|缺失)/, + steps: + /(?:先|再|然后|最后|依次|步骤|流程|检查|识别|提取|分析|整理|生成|复核|比较|判断)/, + output: + /(?:输出|结果|格式|结构|标题|字段|表格|Markdown|JSON|列表|篇幅|语气|字数|包含)/i, + constraints: + /(?:不得|不能|禁止|必须|至少|至多|缺少|不足|失败|异常|验收|测试|确保|标记|待确认|边界|质量)/, +}; + +export function isSuggestionWithinNodeScope( + nodeKey: SkillRecommendationNodeKey, + suggestion: string, +) { + const normalized = suggestion.replace(/\s+/g, " ").trim(); + if (!normalized) return false; + + for (const [otherKey, label] of Object.entries(nodeLabels) as Array< + [SkillRecommendationNodeKey, RegExp] + >) { + if (otherKey !== nodeKey && label.test(normalized)) return false; + } + + if ( + /(?:Skill|技能)(?:名称|描述)|额外模块|第六个?节点|新增节点|部署方案/.test( + normalized, + ) + ) { + return false; + } + + return nodeSignals[nodeKey].test(normalized); +} diff --git a/src/lib/sse.ts b/src/lib/sse.ts new file mode 100644 index 0000000..868952b --- /dev/null +++ b/src/lib/sse.ts @@ -0,0 +1,19 @@ +import type { SseEvent } from "@/lib/types"; + +const encoder = new TextEncoder(); + +export function encodeSse(event: SseEvent) { + return encoder.encode(`data: ${JSON.stringify(event)}\n\n`); +} + +export function sseResponse(stream: ReadableStream) { + return new Response(stream, { + headers: { + "Content-Type": "text/event-stream; charset=utf-8", + "Cache-Control": "no-cache, no-transform", + Connection: "keep-alive", + "X-Accel-Buffering": "no", + }, + }); +} + diff --git a/src/lib/types.ts b/src/lib/types.ts new file mode 100644 index 0000000..03afe91 --- /dev/null +++ b/src/lib/types.ts @@ -0,0 +1,241 @@ +export const SKILL_NODE_DEFINITIONS = [ + { + key: "trigger", + title: "触发条件", + shortTitle: "触发", + description: "什么时候应该使用这个 Skill，以及不适用的边界。", + prompt: "先告诉我：什么情况下应该触发这个 Skill？可以给一个典型任务示例。", + suggestions: [ + "当用户需要把会议记录整理成行动清单时触发", + "当用户需要检查 SQL 的正确性和安全风险时触发", + "当用户需要把零散资料整理成决策备忘录时触发", + ], + }, + { + key: "inputs", + title: "输入参数", + shortTitle: "输入", + description: "执行所需的信息、字段、格式和默认值。", + prompt: "触发条件清楚了。执行前必须拿到哪些输入？哪些必填，哪些可以有默认值？", + suggestions: [ + "必填任务原文和目标，可选受众、语气与篇幅", + "缺少必填信息时先向用户追问", + "未提供可选项时使用简洁、专业的默认风格", + ], + }, + { + key: "steps", + title: "执行步骤", + shortTitle: "步骤", + description: "AI 应严格遵循的行动顺序与关键判断。", + prompt: "接下来定义执行过程。请按顺序描述能在当前对话内完成的步骤，以及需要做决定的地方。", + suggestions: [ + "先校验输入，再提取关键信息，然后生成结果并复核", + "遇到信息冲突时先列出差异，再选择可信来源", + "完成初稿后逐项检查是否满足用户目标", + ], + }, + { + key: "output", + title: "输出格式", + shortTitle: "输出", + description: "最终交付物的结构、字段、语气和示例。", + prompt: "希望最终结果长什么样？请说明结构、格式、篇幅或语气要求。", + suggestions: [ + "输出使用固定的 Markdown 标题和列表结构", + "结果包含摘要、详细内容和下一步建议", + "语言保持简洁专业，正文不超过一千字", + ], + }, + { + key: "constraints", + title: "约束与测试", + shortTitle: "约束", + description: "禁止事项、质量门槛、失败处理和验收用例。", + prompt: "最后补齐质量边界：有哪些禁止事项、验收标准或必须通过的测试？", + suggestions: [ + "不得编造缺失信息，关键输入不足时必须追问", + "只分析用户提供的内容，不运行脚本或调用外部 API", + "至少使用一个正常用例和一个失败用例进行验证", + ], + }, +] as const; + +export type SkillNodeKey = (typeof SKILL_NODE_DEFINITIONS)[number]["key"]; + +export interface SkillNode { + key: SkillNodeKey; + title: string; + description: string; + content: string; + /** The node content passed AI review, even if an earlier node still blocks it. */ + ready?: boolean; + completed: boolean; + updatedAt?: string; +} + +export interface Skill { + id: string; + name: string; + description: string; + status: "draft" | "active"; + nodes: SkillNode[]; + createdAt: string; + updatedAt: string; +} + +export interface TokenUsage { + promptTokens: number; + promptCacheHitTokens: number; + promptCacheMissTokens: number; + completionTokens: number; + reasoningTokens: number; + totalTokens: number; +} + +export interface ModelCallUsage extends TokenUsage { + model: string; + estimatedCostMicros?: number; + currency?: "CNY"; + pricingVersion?: string; +} + +export interface MessageUsage extends TokenUsage { + status: "measured" | "partial" | "demo" | "unavailable"; + models: string[]; + callCount: number; + /** End-to-end server time from accepting the turn to its terminal event. */ + durationMs?: number; + estimatedCostMicros?: number; + currency: "CNY"; + pricingVersion?: string; +} + +export interface ChatMessage { + id: string; + role: "user" | "assistant"; + content: string; + selectedSkillIds: string[]; + usedSkillIds: string[]; + status: "complete" | "streaming" | "stopped" | "error"; + errorMessage?: string; + usage?: MessageUsage; + createdAt: string; +} + +export interface Conversation { + id: string; + title: string; + createdAt: string; + updatedAt: string; +} + +export type ConversationContinuationState = + | "complete" + | "awaiting_input" + | "offer_pending"; + +export type ConversationContinuationSource = + | "none" + | "deterministic" + | "ai" + | "fallback"; + +export interface ConversationContinuation { + state: ConversationContinuationState; + skillIds: string[]; + expectedInput: string; + reason: string; + source: ConversationContinuationSource; + updatedAt?: string; +} + +export interface BuilderMessage { + id: string; + role: "user" | "assistant"; + content: string; + nodeKey: SkillNodeKey; + updatedNodeKeys?: SkillNodeKey[]; + createdAt: string; +} + +export interface BuilderEvaluation { + reply: string; + intent: "provide_spec" | "request_guidance"; + skillName: string; + skillDescription: string; + activeNode: SkillNodeKey; + updatedNodeKeys: SkillNodeKey[]; + suggestionNodeKey: SkillNodeKey; + nodeQuality: Array<{ + key: SkillNodeKey; + passed: boolean; + missing: string[]; + }>; + suggestions: string[]; + nodes: SkillNode[]; +} + +export type BuilderSuggestionSource = + | "idle" + | "loading" + | "ai" + | "demo" + | "fallback"; + +export type ChatRunStatus = + | "pending" + | "running" + | "complete" + | "stopped" + | "error"; + +export interface ChatRun { + id: string; + conversationId: string; + userMessageId: string; + assistantMessageId: string; + status: ChatRunStatus; + createdAt: string; + updatedAt: string; +} + +type SequencedEvent = { seq?: number }; + +export type SseEvent = SequencedEvent & + ( + | { + type: "meta"; + runId?: string; + userMessageId: string; + assistantMessageId: string; + } + | { + type: "skill_usage"; + skillIds: string[]; + source: + | "no_candidates" + | "explicit_explanation" + | "continuation" + | "continuation_declined" + | "ai" + | "keyword_fallback"; + reason: string; + } + | { + type: "skill_retention"; + state: ConversationContinuationState; + skillIds: string[]; + expectedInput: string; + reason: string; + source: ConversationContinuationSource; + } + | { type: "status"; label: string } + | { type: "token"; token: string } + | { type: "usage"; usage: MessageUsage } + | { type: "builder_update"; evaluation: BuilderEvaluation } + | { type: "conversation_title"; title: string } + | { type: "complete"; messageId?: string } + | { type: "aborted" } + | { type: "error"; message: string } + ); diff --git a/src/lib/utils.ts b/src/lib/utils.ts new file mode 100644 index 0000000..545ad0a --- /dev/null +++ b/src/lib/utils.ts @@ -0,0 +1,45 @@ +import { clsx, type ClassValue } from "clsx"; +import { twMerge } from "tailwind-merge"; + +export function cn(...inputs: ClassValue[]) { + return twMerge(clsx(inputs)); +} + +export function createId(prefix: string) { + return `${prefix}_${crypto.randomUUID().replaceAll("-", "")}`; +} + +export function safeJsonArray(value: unknown): string[] { + if (Array.isArray(value)) { + return value.filter((item): item is string => typeof item === "string"); + } + + if (typeof value !== "string" || !value) return []; + + try { + const parsed = JSON.parse(value); + return Array.isArray(parsed) + ? parsed.filter((item): item is string => typeof item === "string") + : []; + } catch { + return []; + } +} + +export function formatRelativeTime(value: string) { + const date = new Date(value); + const diff = Date.now() - date.getTime(); + const minutes = Math.floor(diff / 60_000); + + if (minutes < 1) return "刚刚"; + if (minutes < 60) return `${minutes} 分钟前`; + + const hours = Math.floor(minutes / 60); + if (hours < 24) return `${hours} 小时前`; + + return new Intl.DateTimeFormat("zh-CN", { + month: "short", + day: "numeric", + }).format(date); +} + diff --git a/src/lib/validation.ts b/src/lib/validation.ts new file mode 100644 index 0000000..41c5c2c --- /dev/null +++ b/src/lib/validation.ts @@ -0,0 +1,143 @@ +import { z } from "zod"; +import { SKILL_NODE_DEFINITIONS } from "@/lib/types"; + +const nodeKeys = SKILL_NODE_DEFINITIONS.map((node) => node.key) as [ + "trigger", + "inputs", + "steps", + "output", + "constraints", +]; + +export const skillNodeSchema = z.object({ + key: z.enum(nodeKeys), + title: z.string(), + description: z.string(), + content: z.string(), + ready: z.boolean().optional(), + completed: z.boolean(), + updatedAt: z.string().optional(), +}); + +const skillNodesSchema = z + .array(skillNodeSchema) + .length(SKILL_NODE_DEFINITIONS.length) + .superRefine((nodes, context) => { + const actualKeys = nodes.map((node) => node.key); + const uniqueKeys = new Set(actualKeys); + const missingKeys = nodeKeys.filter((key) => !uniqueKeys.has(key)); + if ( + uniqueKeys.size !== SKILL_NODE_DEFINITIONS.length || + missingKeys.length > 0 + ) { + context.addIssue({ + code: "custom", + message: + "Skill 必须且只能包含触发条件、输入参数、执行步骤、输出格式、约束与测试各一个节点", + }); + } + }); + +export const saveSkillSchema = z.object({ + id: z.string().min(1).optional(), + name: z.string().trim().min(2).max(40), + description: z.string().trim().min(2).max(180), + status: z.enum(["draft", "active"]).optional(), + nodes: skillNodesSchema, +}); + +export const chatRequestSchema = z.object({ + conversationId: z.string().min(1), + message: z.string().trim().min(1).max(12_000), + selectedSkillIds: z.array(z.string()).max(12).default([]), + clientRequestId: z.string().min(8).max(100), +}); + +export const builderRequestSchema = z.object({ + clientRequestId: z.string().min(8).max(100), + afterSeq: z.number().int().min(0).default(0), + skillId: z.string().nullable().optional(), + message: z.string().trim().min(1).max(8_000), + skillName: z.string().max(40).default("未命名 Skill"), + skillDescription: z.string().max(180).default(""), + nodes: skillNodesSchema, + messages: z + .array( + z.object({ + role: z.enum(["user", "assistant"]), + content: z.string().max(8_000), + }), + ) + .max(30), +}); + +export const skillRouterResultSchema = z + .object({ + usedSkillIds: z.array(z.string()).max(12), + reason: z.string().trim().min(1).max(400), + }) + .strict(); + +export const skillContinuationResultSchema = z + .object({ + state: z.enum(["awaiting_input", "offer_pending", "complete"]), + keepSkillIds: z.array(z.string()).max(12), + expectedInput: z.string().trim().max(240), + reason: z.string().trim().min(1).max(400), + }) + .strict(); + +export const conversationTitleResultSchema = z + .object({ + title: z.string().trim().min(2).max(30), + }) + .strict(); + +export const builderModelResultSchema = z + .object({ + intent: z.enum(["provide_spec", "request_guidance"]), + skillName: z.string().min(2).max(40), + skillDescription: z.string().min(2).max(180), + updates: z + .array( + z + .object({ + nodeKey: z.enum(nodeKeys), + content: z.string().min(1).max(8_000), + completed: z.boolean(), + }) + .strict(), + ) + .max(nodeKeys.length), + suggestions: z + .array(z.string().trim().min(2).max(80)) + .min(2) + .max(4), + suggestionNodeKey: z.enum(nodeKeys), + reply: z.string().min(1).max(2_000), + }) + .strict(); + +export const builderSuggestionsRequestSchema = z + .object({ + skillName: z.string().trim().max(40).default("未命名 Skill"), + skillDescription: z.string().trim().max(180).default(""), + nodes: skillNodesSchema, + }) + .strict(); + +export const builderSuggestionsResultSchema = z + .object({ + nodeKey: z.enum(nodeKeys), + suggestions: z + .array(z.string().trim().min(2).max(80)) + .min(2) + .max(4), + }) + .strict(); + +export const renameConversationSchema = z + .object({ + title: z.string().trim().min(1).max(40), + }) + .strict(); diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..cf9c65d --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,34 @@ +{ + "compilerOptions": { + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./src/*"] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts", + "**/*.mts" + ], + "exclude": ["node_modules"] +}