diff --git a/core/main_terminal.py b/core/main_terminal.py
index 4479611..d769d7f 100644
--- a/core/main_terminal.py
+++ b/core/main_terminal.py
@@ -748,8 +748,8 @@ class MainTerminal:
                         print(f"{OUTPUT_FORMATS['file']} 创建文件")
                     elif tool_name == "read_file":
                         print(f"{OUTPUT_FORMATS['file']} 读取文件")
-                    elif tool_name == "ocr_image":
-                        print(f"{OUTPUT_FORMATS['file']} 图片OCR")
+                    elif tool_name in {"vlm_analyze", "ocr_image"}:
+                        print(f"{OUTPUT_FORMATS['file']} VLM 视觉理解")
                     elif tool_name == "write_file_diff":
                         print(f"{OUTPUT_FORMATS['file']} 应用补丁")
                     elif tool_name == "delete_file":
@@ -1228,13 +1228,13 @@ class MainTerminal:
             {
                 "type": "function",
                 "function": {
-                    "name": "ocr_image",
-                    "description": "使用 Qwen3-VL模型 读取图片中的文字或根据提示生成描述，仅支持本地图片路径。",
+                    "name": "vlm_analyze",
+                    "description": "使用大参数视觉语言模型（Qwen-VL模型）理解图片：文字、物体、布局、表格等，仅支持本地路径。",
                     "parameters": {
                         "type": "object",
                         "properties": self._inject_intent({
-                            "path": {"type": "string", "description": "项目内的图片路径"},
-                            "prompt": {"type": "string", "description": "传递给 OCR 模型的提示词，如“请识别图片中的文字”，“图中的手机是什么颜色的”必须使用中文提示词。"}
+                            "path": {"type": "string", "description": "项目内的图片相对路径"},
+                            "prompt": {"type": "string", "description": "传递给 VLM 的中文提示词，如“请总结这张图的内容”“表格的总金额是多少”“图中是什么车？”。"}
                         }),
                         "required": ["path", "prompt"]
                     }
@@ -1743,12 +1743,12 @@ class MainTerminal:
         try:
             if tool_name == "read_file":
                 result = self._handle_read_tool(arguments)
-            elif tool_name == "ocr_image":
+            elif tool_name in {"vlm_analyze", "ocr_image"}:
                 path = arguments.get("path")
                 prompt = arguments.get("prompt")
                 if not path:
                     return json.dumps({"success": False, "error": "缺少 path 参数", "warnings": []}, ensure_ascii=False)
-                result = self.ocr_client.ocr_image(path=path, prompt=prompt or "")
+                result = self.ocr_client.vlm_analyze(path=path, prompt=prompt or "")
             
             # 终端会话管理工具
             elif tool_name == "terminal_session":
diff --git a/core/tool_config.py b/core/tool_config.py
index 0680047..94c1672 100644
--- a/core/tool_config.py
+++ b/core/tool_config.py
@@ -40,7 +40,7 @@ TOOL_CATEGORIES: Dict[str, ToolCategory] = {
     ),
     "read_focus": ToolCategory(
         label="阅读聚焦",
-        tools=["read_file", "focus_file", "unfocus_file", "ocr_image"],
+        tools=["read_file", "focus_file", "unfocus_file", "vlm_analyze", "ocr_image"],
     ),
     "terminal_realtime": ToolCategory(
         label="实时终端",
diff --git a/modules/ocr_client.py b/modules/ocr_client.py
index 3ad7537..455f27d 100644
--- a/modules/ocr_client.py
+++ b/modules/ocr_client.py
@@ -1,4 +1,4 @@
-"""DeepSeek-OCR 客户端（主智能体专用）。"""
+"""视觉语言模型客户端（主智能体专用）。"""
 
 import base64
 import mimetypes
@@ -13,7 +13,7 @@ from modules.file_manager import FileManager
 
 
 class OCRClient:
-    """封装 DeepSeek-OCR 调用逻辑。"""
+    """封装 VLM（如 DeepSeek-OCR / Qwen-VL）调用逻辑。"""
 
     def __init__(self, project_path: str, file_manager: FileManager):
         self.project_path = Path(project_path).resolve()
@@ -48,8 +48,8 @@ class OCRClient:
             return False, "不是文件", None
         return True, "", full_path
 
-    def ocr_image(self, path: str, prompt: str) -> Dict:
-        """执行 OCR，返回最简结果格式。"""
+    def vlm_analyze(self, path: str, prompt: str) -> Dict:
+        """使用大参数视觉语言模型分析图片：文字、物体、布局等。"""
         warnings: List[str] = []
 
         valid, error, full_path = self._validate_image_path(path)
@@ -101,4 +101,8 @@ class OCRClient:
             content = response.choices[0].message.content if response.choices else ""
             return {"success": True, "content": content or "", "warnings": warnings}
         except Exception as exc:
-            return {"success": False, "error": f"OCR 调用失败: {exc}", "warnings": warnings}
+            return {"success": False, "error": f"VLM 调用失败: {exc}", "warnings": warnings}
+
+    def ocr_image(self, path: str, prompt: str) -> Dict:
+        """兼容旧名，转发到 vlm_analyze。"""
+        return self.vlm_analyze(path, prompt)
diff --git a/prompts/main_system.txt b/prompts/main_system.txt
index 66d678b..4e1fcca 100644
--- a/prompts/main_system.txt
+++ b/prompts/main_system.txt
@@ -8,6 +8,7 @@
 - **数据整理**：处理表格、分析数据、生成报告
 - **文件管理**：创建、修改、重命名文件和文件夹
 - **自动化任务**：批量处理文件、执行重复性工作
+- **视觉理解**：用 `vlm_analyze` 调用大参数 VLM（基于 Qwen-VL），识别图片中文字/物体/表格/场景并回答相关问题，不仅仅是 OCR。
 
 ## 图片展示
 - 如果需要直接在界面展示图片（本地或网络），请在回复里输出 `<show_image src="路径" alt="描述" />`，不用调用工具。
@@ -18,6 +19,14 @@
   - `<show_image src="/workspace/cache/thumb.jpg" />`
   - `<show_image src="https://example.com/demo.png" alt="官方示例截图" />`
 
+### 图片检索与展示流程
+- 触发：用户询问“X长什么样”“给我看X的图片”等需求时。
+- 检索：用 `web_search` 搜索关键词（必要时添加“图片/照片/截图”等），挑选相关度最高的结果。
+- 提取：对候选链接使用 `extract_webpage` 获取正文中的图片直链，优先 `https`、扩展名为 jpg/png/webp、分辨率≥800px 的原图，避开缩略图和水印预览。
+- 本地/校验：已有本地图片时直接展示；若网上图片是否匹配存疑，先下载并用 `vlm_analyze`（VLM 视觉理解）查看内容后再确定是否展示。
+- 展示：选数张代表性图片，直接输出 `<show_image src="直链或本地路径" alt="简短描述" />`；需要多张时多行重复该标签。
+- 回退：用户反馈“看不到/无法展示”时，先将图片下载到可访问路径（如 `/workspace/cache/xxx.jpg`）再用本地路径展示；仍失败则提供文字描述并询问是否换图源。
+
 ## 重要提醒：你的工作环境
 1. **云端运行**：你在远程服务器上工作，在网页端和用户交互
 2. **多人共用**：服务器上可能有其他用户，你只能访问被授权的文件夹
diff --git a/static/src/stores/monitor.ts b/static/src/stores/monitor.ts
index 7f0aab8..2562d34 100644
--- a/static/src/stores/monitor.ts
+++ b/static/src/stores/monitor.ts
@@ -96,6 +96,7 @@ const TOOL_SCENE_MAP: Record<string, string> = {
   read_file: 'reader',
   focus_file: 'focus',
   unfocus_file: 'unfocus',
+  vlm_analyze: 'ocr',
   ocr_image: 'ocr',
   create_folder: 'createFolder',
   create_file: 'createFile',
diff --git a/static/src/styles/components/chat/_chat-area.scss b/static/src/styles/components/chat/_chat-area.scss
index f58e565..b5ae702 100644
--- a/static/src/styles/components/chat/_chat-area.scss
+++ b/static/src/styles/components/chat/_chat-area.scss
@@ -392,6 +392,8 @@
     display: flex;
     flex-direction: column;
     gap: 2px;
+    user-select: none;
+    -webkit-user-select: none;
 }
 
 .more-title {
diff --git a/static/src/utils/chatDisplay.ts b/static/src/utils/chatDisplay.ts
index 2c0e4ca..a8b852b 100644
--- a/static/src/utils/chatDisplay.ts
+++ b/static/src/utils/chatDisplay.ts
@@ -15,6 +15,7 @@ const RUNNING_ANIMATIONS: Record<string, string> = {
   web_search: 'search-animation',
   extract_webpage: 'search-animation',
   save_webpage: 'file-animation',
+  vlm_analyze: 'file-animation',
   run_python: 'code-animation',
   run_command: 'terminal-animation',
   update_memory: 'memory-animation',
@@ -66,6 +67,7 @@ const COMPLETED_STATUS_TEXTS: Record<string, string> = {
   web_search: '搜索完成',
   extract_webpage: '网页提取完成',
   save_webpage: '网页保存完成（纯文本）',
+  vlm_analyze: '图片解析完成',
   run_python: '代码执行完成',
   run_command: '命令执行完成',
   update_memory: '记忆更新成功',
diff --git a/static/src/utils/icons.ts b/static/src/utils/icons.ts
index f880b58..5936424 100644
--- a/static/src/utils/icons.ts
+++ b/static/src/utils/icons.ts
@@ -50,6 +50,7 @@ export const TOOL_ICON_MAP = Object.freeze({
   focus_file: 'eye',
   modify_file: 'pencil',
   write_file_diff: 'pencil',
+  vlm_analyze: 'camera',
   ocr_image: 'camera',
   read_file: 'book',
   rename_file: 'pencil',
diff --git a/utils/tool_result_formatter.py b/utils/tool_result_formatter.py
index ae179fd..e0e6e84 100644
--- a/utils/tool_result_formatter.py
+++ b/utils/tool_result_formatter.py
@@ -570,18 +570,22 @@ def _format_extract_webpage(result_data: Dict[str, Any]) -> str:
     return "\n".join([f"{header}{note}", "```", preview, "```"])
 
 
-def _format_ocr_image(result_data: Dict[str, Any]) -> str:
+def _format_vlm_analyze(result_data: Dict[str, Any]) -> str:
     if not result_data.get("success"):
-        return _format_failure("ocr_image", result_data)
+        return _format_failure("vlm_analyze", result_data)
     content = result_data.get("content") or ""
     length = len(content)
     preview, truncated = _preview_text(content, 800)
     note = "（截断预览）" if truncated else "（未截断）"
-    header = f"OCR 完成，长度 {length} 字符{note}"
+    header = f"VLM 解析完成，长度 {length} 字符{note}"
     if not content:
         return f"{header}；未返回可识别文本。"
     return "\n".join([header, "```", preview, "```"])
 
+# 兼容旧名
+def _format_ocr_image(result_data: Dict[str, Any]) -> str:
+    return _format_vlm_analyze(result_data)
+
 
 def _format_trigger_easter_egg(result_data: Dict[str, Any]) -> str:
     if not result_data.get("success"):
@@ -657,6 +661,7 @@ TOOL_FORMATTERS = {
     "run_command": _format_run_command,
     "run_python": _format_run_python,
     "extract_webpage": _format_extract_webpage,
+    "vlm_analyze": _format_vlm_analyze,
     "ocr_image": _format_ocr_image,
     "trigger_easter_egg": _format_trigger_easter_egg,
     "todo_create": _format_todo_create,
diff --git a/web_server.py b/web_server.py
index 677528e..2579d3a 100644
--- a/web_server.py
+++ b/web_server.py
@@ -25,6 +25,7 @@ from werkzeug.routing import BaseConverter
 import secrets
 import logging
 import hmac
+import mimetypes
 
 # 控制台输出策略：默认静默，只保留简要事件
 _ORIGINAL_PRINT = print
@@ -1270,6 +1271,38 @@ def serve_user_upload(filename: str):
     return send_from_directory(str(uploads_dir), str(target.relative_to(uploads_dir)))
 
 
+@app.route('/workspace/<path:filename>')
+@login_required
+def serve_workspace_file(filename: str):
+    """
+    暴露当前登录用户项目目录下的文件（主要用于图片展示）。
+    - 仅登录用户可访问自己的项目文件
+    - 路径穿越校验：目标必须位于用户自己的 project_path 内
+    - 非图片直接拒绝，避免误暴露其他文件
+    """
+    user = get_current_user_record()
+    if not user:
+        return redirect('/login')
+
+    workspace = user_manager.ensure_user_workspace(user.username)
+    project_root = workspace.project_path.resolve()
+
+    target = (project_root / filename).resolve()
+    try:
+        target.relative_to(project_root)
+    except ValueError:
+        abort(403)
+
+    if not target.exists() or not target.is_file():
+        abort(404)
+
+    mime_type, _ = mimetypes.guess_type(str(target))
+    if not mime_type or not mime_type.startswith("image/"):
+        abort(415)
+
+    return send_from_directory(str(target.parent), target.name)
+
+
 @app.route('/static/<path:filename>')
 def static_files(filename):
     """提供静态文件"""