可以解析更多的tool call模式

flask_server_openai.py

@@ -1005,12 +1005,11 @@ def parse_react_to_tool_call(text, available_tools, skill_manager, messages=None
             if match:
                 skip_react = True
                 tool_call = match.group(1)
-                arguments = match.group(2)
+                arguments = json.loads(match.group(2))
                 tool_name = tool_call
                 print(f"Tool Call: {tool_call}")
                 print(f"Arguments: {arguments}")
-                tmp = {tool_call: arguments}
-                tool_input_str = json.dumps(tmp)
+                tool_input_str = json.dumps(arguments)
         # skip_react = False
     except Exception as e:
         print(f"   JSON parsing error: {e}")
@@ -1252,7 +1251,9 @@ def parse_react_to_tool_call(text, available_tools, skill_manager, messages=None
     
     # ========== 8. 检查是否是技能调用 ==========
 
-    installed_skills = skill_manager
+    installed_skills = []
+    for skill in skill_manager:
+        installed_skills.append(skill['name'])
 
     print(f"   Installed skills: {installed_skills}")
     
@@ -1417,16 +1418,27 @@ def build_system_prompt(tools, skill_manager):
             if len(desc) > 200:
                 desc = desc[:200] + "..."
             tool_descriptions.append(f"- {name}: {desc}")
+
+            
     
     # 获取已安装的 Skills（使用文件系统检查）
     
     # 构建技能说明
 
+    skill_list = []
+    for skill in skill_manager:
+        skill_list.append(skill['name'])
+        
+        description = skill['description']
+        if len(description) > 200:
+            description = description[:200] + '...'
+        
+        tool_descriptions.append(f"- {skill['name']}: {description}")
         
         skills_instruction = f"""
 **How to use installed skills:**
 You have access to the following installed skills:
-{chr(10).join(skill_manager)}
+{chr(10).join(skill_list)}
 
 To use a skill, you MUST use the 'invoke_skill' tool with this exact format:
 Action: invoke_skill
@@ -1592,7 +1604,7 @@ def chat_completions():
         print(f"Installed skills: {installed_skills}")
     
     # ========== 构建系统提示 ==========
-    system_prompt = build_system_prompt(tools, installed_skills)
+    system_prompt = build_system_prompt(tools, ready_skills)
     
     # ========== 构建输入 Prompt（带 token 管理） ==========
     input_prompt = conv_manager.build_prompt(messages, system_prompt, safe_get_content)
@@ -1659,7 +1671,7 @@ def chat_completions():
             skill_list.append(skill['name'])
 
         # ========== 解析响应 ==========
-        parsed = parse_react_to_tool_call(accumulated_text, available_tools, skill_list)
+        parsed = parse_react_to_tool_call(accumulated_text, available_tools, ready_skills)
 
         # 检查是否模型输出了说明文字而不是工具调用
         if "以下是修正后的正确调用方式" in accumulated_text or "正确的工具调用应包含" in accumulated_text: