feat: tool_call_request/result 拆分为独立 role:tool 消息气泡

- protocol.ts: Message.role 增加 'tool'
- MessageBubble: 新增 tool 角色配置（琥珀色，小写 label 统一）
- MessageList: 新增 extractToolMessages()，将 tool segment
  从 assistant/user 消息中拆分出来作为独立 tool 角色消息
- role label 改为小写（system/user/assistant/tool），字号 text-xs
- demos.ts: e-4 改为 tool_call_result 形式

src/components/MessageBubble.tsx

@@ -1,11 +1,12 @@
 import type { Message } from '../types/protocol'
 import SegmentRenderer from './SegmentRenderer'
-import { User, Bot, Settings } from 'lucide-react'
+import { User, Bot, Settings, Wrench } from 'lucide-react'
 
 const roleConfig = {
-  system: { icon: Settings, label: 'SYSTEM', align: 'left', bg: 'bg-gray-100', text: 'text-gray-500' },
+  system: { icon: Settings, label: 'system', align: 'left', bg: 'bg-gray-100', text: 'text-gray-500' },
-  user: { icon: User, label: 'YOU', align: 'right', bg: 'bg-blue-50 border-blue-100', text: 'text-blue-600' },
+  user: { icon: User, label: 'user', align: 'right', bg: 'bg-blue-50 border-blue-100', text: 'text-blue-600' },
-  assistant: { icon: Bot, label: 'ASSISTANT', align: 'left', bg: 'bg-white border-gray-100', text: 'text-green-600' },
+  assistant: { icon: Bot, label: 'assistant', align: 'left', bg: 'bg-white border-gray-100', text: 'text-green-600' },
+  tool: { icon: Wrench, label: 'tool', align: 'left', bg: 'bg-amber-50 border-amber-200', text: 'text-amber-700' },
 }
 
 interface MessageBubbleProps {
@@ -27,7 +28,7 @@ export default function MessageBubble({ message, varMap = {} }: MessageBubblePro
         {/* Role header */}
         <div className={`flex items-center gap-1.5 mb-2 ${cfg.text}`}>
           <Icon size={14} />
-          <span className="text-[10px] font-bold tracking-widest uppercase">
+          <span className="text-xs font-bold">
             {cfg.label}
           </span>
         </div>

src/components/MessageList.tsx

@@ -1,5 +1,5 @@
 import { useMemo } from 'react'
-import type { Message, StaticVarSegment } from '../types/protocol'
+import type { Message, Segment, StaticVarSegment } from '../types/protocol'
 import SessionBar from './SessionBar'
 import MessageBubble from './MessageBubble'
 
@@ -41,13 +41,82 @@ function extractSessionVars(messages: Message[]): {
   return { variables, varMap, cleanedMessages }
 }
 
+/**
+ * 将消息中的 tool_call_request / tool_call_result segment
+ * 拆分为独立的 role: "tool" 消息，与非 tool segment 交替排列。
+ *
+ * 例如一条 assistant 消息包含 [text, tool_call, tool_result, text]
+ * 会拆分为：
+ *   assistant [text] → tool [tool_call] → tool [tool_result] → assistant [text]
+ */
+function extractToolMessages(messages: Message[]): Message[] {
+  const result: Message[] = []
+
+  for (const msg of messages) {
+    // 将 segments 按 "是否为 tool segment" 分组为连续的 run
+    const runs: Segment[][] = []
+    let currentRun: Segment[] = []
+    let currentIsTool: boolean | null = null
+
+    for (const seg of msg.segments) {
+      const isTool =
+        seg.kind === 'tool_call_request' || seg.kind === 'tool_call_result'
+      if (currentIsTool === null) {
+        currentIsTool = isTool
+        currentRun.push(seg)
+      } else if (isTool === currentIsTool) {
+        currentRun.push(seg)
+      } else {
+        runs.push(currentRun)
+        currentRun = [seg]
+        currentIsTool = isTool
+      }
+    }
+    if (currentRun.length > 0) {
+      runs.push(currentRun)
+    }
+
+    // 每个 run 生成一条独立消息
+    let counter = 0
+    for (const run of runs) {
+      if (run.length === 0) continue
+      const isTool =
+        run[0].kind === 'tool_call_request' ||
+        run[0].kind === 'tool_call_result'
+
+      if (isTool) {
+        counter++
+        result.push({
+          id: `${msg.id}-tool-${counter}`,
+          role: 'tool',
+          segments: run,
+          timestamp: msg.timestamp,
+        })
+      } else {
+        result.push({
+          ...msg,
+          id: counter > 0 ? `${msg.id}-text-${counter}` : msg.id,
+          segments: run,
+        })
+      }
+    }
+  }
+
+  return result
+}
+
 export default function MessageList({ messages }: MessageListProps) {
   const { variables, varMap, cleanedMessages } = useMemo(
     () => extractSessionVars(messages),
     [messages]
   )
 
-  if (cleanedMessages.length === 0) {
+  const splitMessages = useMemo(
+    () => extractToolMessages(cleanedMessages),
+    [cleanedMessages]
+  )
+
+  if (splitMessages.length === 0) {
     return (
       <div className="flex-1 flex items-center justify-center text-gray-300 text-sm">
         选择一个 Demo 场景开始
@@ -62,7 +131,7 @@ export default function MessageList({ messages }: MessageListProps) {
 
       {/* 消息列表 */}
       <div className="flex-1 overflow-y-auto px-4 py-4 space-y-1">
-        {cleanedMessages.map((msg) => (
+        {splitMessages.map((msg) => (
           <MessageBubble key={msg.id} message={msg} varMap={varMap} />
         ))}
       </div>

src/data/demos.ts

@@ -883,15 +883,16 @@ const demoE: PromptEnvelope = {
       ],
       timestamp: now - 280000,
     },
-    // --- Skill 触发：指令以 system 消息形式追加到对话 ---
+    // --- Skill 触发：指令以 tool_call_result 形式追加到对话 ---
-    // （而非合并进原有的 System Prompt segment）
     {
       id: 'e-4',
-      role: 'system',
+      role: 'assistant',
       segments: [
         {
-          kind: 'system_prompt',
+          kind: 'tool_call_result',
-          content: `[/deep-research 已触发]
+          toolName: 'run_skill',
+          success: true,
+          result: `[/deep-research 已触发]
 
 深度研究工作流程：
 1. 分析用户问题，拆解为 3-5 个子问题

src/types/protocol.ts

@@ -12,7 +12,7 @@ export interface PromptEnvelope {
 // --- 单条消息 ---
 export interface Message {
   id: string
-  role: 'system' | 'user' | 'assistant'
+  role: 'system' | 'user' | 'assistant' | 'tool'
   segments: Segment[]
   timestamp: number
 }