优化消息的部分call tool显示

src/components/ai-elements/tool.tsx

@@ -22,6 +22,7 @@ import { useTranslations } from "next-intl"
 import { isValidElement } from "react"
 
 import { CodeBlock } from "./code-block"
+import { MessageResponse } from "./message"
 
 export type ToolProps = ComponentProps<typeof Collapsible>
 
@@ -315,12 +316,34 @@ function isDuplicateErrorOutput(
 export type ToolOutputProps = ComponentProps<"div"> & {
   output: ToolPart["output"]
   errorText: ToolPart["errorText"]
+  renderAsMarkdown?: boolean
+}
+
+const MD_INDICATORS = [
+  /^#{1,6}\s/m,
+  /^\s*[-*+]\s/m,
+  /^\s*\d+\.\s/m,
+  /\*\*[^*]+\*\*/,
+  /\[.+\]\(.+\)/,
+  /```[\s\S]*?```/,
+  /^\s*>/m,
+  /^\|.+\|$/m,
+]
+
+function looksLikeMarkdown(text: string): boolean {
+  let count = 0
+  for (const re of MD_INDICATORS) {
+    if (re.test(text)) count++
+    if (count >= 2) return true
+  }
+  return false
 }
 
 export const ToolOutput = ({
   className,
   output,
   errorText,
+  renderAsMarkdown,
   ...props
 }: ToolOutputProps) => {
   const t = useTranslations("Folder.chat.tool")
@@ -342,8 +365,18 @@ export const ToolOutput = ({
       <CodeBlock code={JSON.stringify(output, null, 2)} language="json" />
     )
   } else if (typeof output === "string") {
-    const language = detectOutputLanguage(output)
-    Output = <CodeBlock code={output} language={language} />
+    const shouldRenderMd =
+      renderAsMarkdown ?? (detectOutputLanguage(output) === "log" && looksLikeMarkdown(output))
+    if (shouldRenderMd) {
+      Output = (
+        <div className="prose prose-sm dark:prose-invert max-w-none p-3 text-sm [&_ul]:list-inside [&_ol]:list-inside">
+          <MessageResponse>{output}</MessageResponse>
+        </div>
+      )
+    } else {
+      const language = detectOutputLanguage(output)
+      Output = <CodeBlock code={output} language={language} />
+    }
   }
 
   return (

src/components/message/content-parts-renderer.tsx

@@ -871,6 +871,7 @@ function getToolIcon(
   if (name === "task") return getTaskToolIcon(input ?? null)
   if (name === "taskcreate" || name === "taskupdate" || name === "tasklist")
     return <ListTodoIcon className={ICON_CLASS} />
+  if (name === "agent") return getTaskToolIcon(input ?? null)
   if (name === "skill") return <SparklesIcon className={ICON_CLASS} />
   if (name === "enterplanmode" || name === "exitplanmode")
     return <BrainIcon className={ICON_CLASS} />
@@ -1000,6 +1001,13 @@ function deriveToolTitle(
     if (desc) return `${prefix}${ellipsis(desc, 60 - prefix.length)}`
     if (subagent) return subagent
   }
+  if (name === "agent") {
+    const subagent = getField("subagent_type")
+    const desc = getField("description")
+    const prefix = subagent ? `${subagent}: ` : ""
+    if (desc) return `${prefix}${ellipsis(desc, 60 - prefix.length)}`
+    if (subagent) return subagent
+  }
   if (name === "taskcreate") {
     const subj = getField("subject")
     if (subj) return `TaskCreate: ${ellipsis(subj, 50)}`
@@ -2156,7 +2164,8 @@ const ToolCallPart = memo(function ToolCallPart({
             input={part.input}
           />
         )}
-        {toolNameLower === "task" && part.output ? (
+        {(toolNameLower === "task" || toolNameLower === "agent") &&
+        part.output ? (
           <div className="text-sm prose prose-sm dark:prose-invert max-w-none [&_ul]:list-inside [&_ol]:list-inside">
             <MessageResponse>{part.output}</MessageResponse>
           </div>

src/lib/tool-call-normalization.ts

@@ -32,6 +32,29 @@ const EXACT_TOOL_NAME_ALIASES: Record<string, string> = {
   web_search: "websearch",
   context7_query_docs: "context7_query-docs",
   context7_resolve_library_id: "context7_resolve-library-id",
+  agent: "agent",
+  // Gemini CLI
+  searchtext: "grep",
+  search_text: "grep",
+  writefile: "write",
+  editfile: "edit",
+  // Codex
+  update_plan: "task",
+  request_user_input: "question",
+  // OpenCode
+  delegate_task: "task",
+  call_omo_agent: "agent",
+  ast_grep_search: "grep",
+  ast_grep_replace: "edit",
+  background_task: "task",
+  background_cancel: "task",
+  background_output: "task",
+  slashcommand: "skill",
+  question: "question",
+  lsp_diagnostics: "lsp",
+  lsp_document_symbols: "lsp",
+  lsp_goto_definition: "lsp",
+  lsp_servers: "lsp",
   execute: "bash",
   search: "grep",
   fetch: "webfetch",
@@ -65,6 +88,10 @@ function inferFromFreeformName(input: string): string | null {
   if (/^glob(?:\b|[_\s:-])/.test(normalized)) return "glob"
   if (/^webfetch(?:\b|[_\s:-])/.test(normalized)) return "webfetch"
   if (/^websearch(?:\b|[_\s:-])/.test(normalized)) return "websearch"
+  if (/\bweb[_\s-]?search\b/.test(normalized)) return "websearch"
+  if (/\bgrep\b/.test(normalized)) return "grep"
+  if (/\bagent\b/.test(normalized)) return "agent"
+  if (/\blsp\b/.test(normalized)) return "lsp"
   if (/^todowrite(?:\b|[_\s:-])/.test(normalized)) return "todowrite"
   if (/^taskupdate(?:\b|[_\s:-])/.test(normalized)) return "taskupdate"
   if (/^taskcreate(?:\b|[_\s:-])/.test(normalized)) return "taskcreate"