fix: 提示词链里的引导提问不算轮数，分类器固定结果、跳过过短输入

- 引导对话和 AI 对话存在同一个对话里，提示词链把它当成一轮“AI 对话”，显示“没有网页”。
  现在标成“引导”，淡化显示，不计入轮数，也不能选中（↑↓ 跳过）
- 分类器 temperature 设为 0：同一句提示词以前约两成会被打成不同层级
- 不到 4 个字的提问（“1”“，”等）不打层级，--force 重标时清掉旧标签

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

client/src/components/review/ReviewPanel.vue

@@ -121,14 +121,14 @@
 
         <section>
           <n-flex justify="space-between" align="center" class="chain-head">
-            <h4>提示词 <span class="muted" v-if="chain.length">· {{ chain.length }} 轮</span></h4>
+            <h4>提示词 <span class="muted" v-if="chainSteps">· {{ chainSteps }} 轮</span></h4>
             <n-button v-if="chain.length" size="tiny" quaternary @click="showChain = true">
               逐轮看网页
             </n-button>
           </n-flex>
           <div v-if="!chain.length" class="muted">这份提交没有关联的提示词</div>
           <ol class="chain">
-            <li v-for="(r, i) in chain" :key="i">
+            <li v-for="(r, i) in chain" :key="i" :class="{ guide: r.source === 'guidance' }">
               <n-flex :size="6" align="center">
                 <span class="src">{{ sourceLabel(r.source) }}</span>
                 <span v-if="r.prompt_level" class="level">{{ levelLabel(r.prompt_level) }}</span>
@@ -195,6 +195,8 @@ const versions = ref<SubmissionOut[]>([])
 const chain = ref<PromptRound[]>([])
 const rating = ref(false)
 const showChain = ref(false)
+// 引导对话不生成网页，不算轮数
+const chainSteps = computed(() => chain.value.filter((r) => r.source !== "guidance").length)
 
 let awardsCache: Promise<AwardManageOut[]> | null = null
 const awards = ref<AwardManageOut[]>([])
@@ -490,6 +492,12 @@ h4 {
   color: var(--wp-muted);
 }
 
+/* 不是 list-item，就不占 ol 的序号 */
+.chain .guide {
+  display: block;
+  color: var(--wp-muted);
+}
+
 .level {
   font: 600 11px var(--wp-font-mono);
   color: var(--wp-brand);

client/src/components/submissions/ChainModal.vue

@@ -9,7 +9,7 @@
     <template #header>
       <div class="head">
         <b>提示词</b>
-        <span v-if="rounds.length" class="muted">{{ rounds.length }} 轮</span>
+        <span v-if="steps" class="muted">{{ steps }} 轮</span>
         <span v-if="title" class="muted title">{{ title }}</span>
       </div>
     </template>
@@ -41,16 +41,17 @@
           <li
             v-for="(r, i) in rounds"
             :key="i"
-            :class="['round', { on: i === selected }]"
+            :class="['round', { on: i === selected, guide: isGuide(r) }]"
-            @click="selected = i"
+            @click="isGuide(r) || (selected = i)"
           >
             <div class="round-head">
-              <span class="num">{{ i + 1 }}</span>
+              <span class="num">{{ nums[i] }}</span>
               <span :class="['src', `src-${r.source || 'conversation'}`]">
                 {{ sourceLabel(r.source) }}
               </span>
               <span v-if="r.prompt_level" class="level">{{ levelLabel(r.prompt_level) }}</span>
               <span v-if="i === rounds.length - 1" class="final">交的这一版</span>
+              <span v-else-if="isGuide(r)" class="muted no-code">问写提示词的建议，不生成网页</span>
               <span v-else-if="!r.html" class="muted no-code">没有网页</span>
             </div>
             <div
@@ -65,7 +66,7 @@
 
         <div class="stage">
           <div class="stage-head">
-            <b>第 {{ selected + 1 }} 轮生成的网页</b>
+            <b>第 {{ nums[selected] }} 轮生成的网页</b>
             <span class="muted">↑ ↓ 切换</span>
           </div>
           <div class="frame">
@@ -110,6 +111,14 @@ const rounds = ref<PromptRound[]>([])
 const selected = ref(0)
 const expanded = ref(new Set<number>())
 
+// 引导对话（问怎么写提示词）夹在 AI 对话中间，不算轮数，也不能选中
+const isGuide = (r: PromptRound) => r.source === "guidance"
+const steps = computed(() => rounds.value.filter((r) => !isGuide(r)).length)
+const nums = computed(() => {
+  let n = 0
+  return rounds.value.map((r) => (isGuide(r) ? "" : String(++n)))
+})
+
 const doc = computed(() => {
   const r = rounds.value[selected.value]
   if (!r?.html) return ""
@@ -165,7 +174,9 @@ function onKey(e: KeyboardEvent) {
   const step = e.key === "ArrowDown" ? 1 : e.key === "ArrowUp" ? -1 : 0
   if (!step || !rounds.value.length) return
   e.preventDefault()
-  selected.value = Math.min(rounds.value.length - 1, Math.max(0, selected.value + step))
+  let i = selected.value + step
+  while (rounds.value[i] && isGuide(rounds.value[i]!)) i += step
+  if (rounds.value[i]) selected.value = i
   nextTick(() =>
     document.querySelector(".rounds .round.on")?.scrollIntoView({ block: "nearest" }),
   )
@@ -291,6 +302,25 @@ onUnmounted(() => window.removeEventListener("keydown", onKey, true))
   background: var(--wp-html-soft);
 }
 
+.src-guidance {
+  color: var(--wp-muted);
+  background: var(--wp-paper);
+}
+
+.round.guide {
+  border-style: dashed;
+  background: transparent;
+  cursor: default;
+}
+
+.round.guide:hover {
+  border-color: var(--wp-line);
+}
+
+.round.guide .q {
+  color: var(--wp-muted);
+}
+
 .level {
   color: var(--wp-ink);
   background: var(--wp-paper);

client/src/utils/helper.ts

@@ -21,6 +21,7 @@ export function goHome(router: any, type: TASK_TYPE, display: number) {
 export function sourceLabel(source: string | null | undefined) {
   if (source === "edit") return "手改"
   if (source === "manual") return "外部 AI"
+  if (source === "guidance") return "引导"
   return "AI 对话"
 }
 

server/src/services/classifier.ts

@@ -13,6 +13,8 @@ const CLASSIFY_SYSTEM_PROMPT = `你是一个教育评估专家。根据布鲁姆
 
 只返回一个数字（1-6），不要解释。`
 
+const MIN_PROMPT_CHARS = 4
+
 const sleep = (ms: number) => new Promise((r) => setTimeout(r, ms))
 
 async function callLlm(content: string): Promise<number | null> {
@@ -23,7 +25,8 @@ async function callLlm(content: string): Promise<number | null> {
         { role: "system", content: CLASSIFY_SYSTEM_PROMPT },
         { role: "user", content },
       ],
-      { maxTokens: 10, timeoutMs: 30_000 },
+      // 同一句提示词要得到同一个层级
+      { maxTokens: 10, temperature: 0, timeoutMs: 30_000 },
     )
     const match = /[1-6]/.exec(text)
     if (!match) {
@@ -43,6 +46,11 @@ export async function classifyMessage(messageId: number): Promise<number | null>
     { id: messageId },
   )
   if (!msg) return null
+  // “1”“，”“可以”这类太短，判断不出层级；清掉以前打的标签（--force 重标时）
+  if ([...msg.content.trim()].length < MIN_PROMPT_CHARS) {
+    run(`UPDATE prompt_message SET prompt_level = NULL WHERE id = $id`, { id: messageId })
+    return null
+  }
   const level = await callLlm(msg.content)
   if (level !== null) {
     run(`UPDATE prompt_message SET prompt_level = $level WHERE id = $id`, {

server/src/services/llm.ts

@@ -63,6 +63,7 @@ interface CompletionOptions {
   model?: string
   stream: boolean
   maxTokens?: number
+  temperature?: number
   signal?: AbortSignal
   timeoutMs?: number
 }
@@ -82,6 +83,7 @@ function buildRequest(messages: ChatMessage[], opts: CompletionOptions) {
     stream: opts.stream,
   }
   if (opts.maxTokens) body.max_tokens = opts.maxTokens
+  if (opts.temperature !== undefined) body.temperature = opts.temperature
   const apiKey = ark ? config.arkApiKey : config.llmApiKey
   if (!apiKey) throw new Error("未配置模型接口密钥")
   const baseUrl = (ark ? config.arkBaseUrl : config.llmBaseUrl).replace(/\/$/, "")
@@ -203,12 +205,13 @@ export function streamGuidance(history: ChatMessage[], signal?: AbortSignal) {
 
 export async function complete(
   messages: ChatMessage[],
-  opts: { model?: string; maxTokens?: number; timeoutMs?: number } = {},
+  opts: { model?: string; maxTokens?: number; temperature?: number; timeoutMs?: number } = {},
 ): Promise<string> {
   const res = await buildRequest(messages, {
     model: opts.model ?? config.llmModel,
     stream: false,
     maxTokens: opts.maxTokens,
+    temperature: opts.temperature,
     timeoutMs: opts.timeoutMs,
   })
   await ensureOk(res)

server/tests/api.test.ts

@@ -646,3 +646,16 @@ describe("课堂总结", () => {
     expect(all.json.top_scored.map((t: any) => t.username)).toEqual(["weba2小李", "weba1小明"])
   })
 })
+
+describe("提示词分类", () => {
+  test("太短的提问不打层级，以前打的也清掉", async () => {
+    const { classifyMessage } = await import("../src/services/classifier")
+    const { createConversation, insertMessage } = await import("../src/services/prompt")
+    const conv = createConversation(makeUser("stu"), makeTask("T"))
+    const id = insertMessage({ conversation_id: conv, role: "user", content: " 1 " })
+    run(`UPDATE prompt_message SET prompt_level = 6 WHERE id = $id`, { id })
+    expect(await classifyMessage(id)).toBeNull()
+    const row = get<{ prompt_level: number | null }>(`SELECT prompt_level FROM prompt_message WHERE id = $id`, { id })
+    expect(row!.prompt_level).toBeNull()
+  })
+})