diff --git a/skillagent/skillengine.py b/skillagent/skillengine.py
index 307ca68..e70a104 100644
--- a/skillagent/skillengine.py
+++ b/skillagent/skillengine.py
@@ -4,6 +4,7 @@ import json
 from traceback import format_exc
 import asyncio
 import yaml
+import inspect
 from functools import partial
 import hashlib
 from pathlib import Path
@@ -247,13 +248,32 @@ class IndustrialSkillEngine:
 		context = await self._get_expanded_context(skill_name, user_prompt, context=context)
 		
 		# 决策：是直接回答还是执行脚本
-		decision = await self.llm(f'上下文: {context}\n问题: {user_prompt}\n决定动作：EXEC: {{"cmd": 找到的命令, "params": 找到的参数字典}} 或 ANSWER: <text> 或 REPLY: <question>')
+		decision = await self.llm(f'上下文: {context}\n问题: {user_prompt}\n决定动作：EXEC: {{"cmd": 找到的命令, "params": 找到的参数字典}} 或 ANSWER: <text> 或 REPLY: <question> 或 CALL: {{"function", "params":找到的参数字典}}')
 		output = {
 			"status": "PROCESSING",
 			"hint": f"决策完成：{decision=}"
 		}
 		await self.write_output(output)
-		if "REPLY" in decision:
+		if "CALL: " in decision:
+			st = decision[6:]
+			d = DictObject(**json.loads(st))
+			env = self.request._run_ns
+			f = env.get(d.function)
+			if f is None:
+				e = Exception(f'function({d.function} is not in env')
+				exception(f'{e}')
+				raise e
+			ret = ''
+			if inspect.iscoroutinefunction(f):
+				ret = await f(self.request, params_kw=d.params)
+			else:
+				ret = f(self.request, params_kw=d.params)
+			await self.write_output({
+				"status": "SUCCEEDED",
+				"content": ret
+			})
+			return
+		if "REPLY: " in decision:
 			sessionkey = getID()
 			await self.write_output({
 				"status": "REPLY",