Update mcp pipeline and refactor mcp module (#620)

Co-authored-by: luyan <luyan@U-V61TJ94D-2208.local>
Co-authored-by: local <suluyan.sly@alibaba-inc.com>

Author: 3 people

examples/mcp_apps/web_generator.py

@@ -1,7 +1,7 @@
-from modelscope_agent.agents.agent_with_mcp import AgentWithMCP  # NOQA
-
 import os
 
+from modelscope_agent.agents.agent_with_mcp import AgentWithMCP  # NOQA
+
 
 def test_web_gen():
 
@@ -23,36 +23,74 @@ def test_web_gen():
         }
     }
 
-    default_system = (
-        'You are an assistant which helps me to finish a complex job. Tools may be given to you '
-        'and you must choose some of them one per round to finish my request.')
-
     llm_config = {
-        'model': 'Qwen/Qwen2.5-72B-Instruct',
+        'model':
+        'Qwen/Qwen3-235B-A22B',  # Qwen/Qwen3-235B-A22B, Qwen/Qwen2.5-72B-Instruct
         'model_server': 'https://api-inference.modelscope.cn/v1/',
         'api_key': os.getenv('MODELSCOPE_API_KEY')
     }
 
+    # ONLY FOR TEST
+    function_list = [{
+        'mcpServers': {
+            'amap-maps': {
+                'type': 'sse',
+                'url': 'https://mcp.api-inference.modelscope.cn/sse/xxx'
+            },
+            'MiniMax-MCP': {
+                'type': 'sse',
+                'url': 'https://mcp.api-inference.modelscope.cn/sse/xxx'
+            },
+            'web-search': {
+                'command': 'npx',
+                'args': ['-y', 'tavily-mcp@0.1.4'],
+                'env': {
+                    'TAVILY_API_KEY': ''
+                },
+                'disabled': False,
+                'autoApprove': []
+            },
+            'edgeone-pages-mcp-server': {
+                'command': 'npx',
+                'args': ['edgeone-pages-mcp']
+            },
+            'notebook': None,
+        }
+    }]
+
     bot = AgentWithMCP(
-        mcp=mcp_servers, llm=llm_config, instruction=default_system)
+        function_list=function_list,
+        mcp=mcp_servers,
+        llm=llm_config,
+    )
 
     # Construct requests
     messages = [{
-        'role': 'system',
-        'content': default_system
-    }, {
         'role': 'user',
-        'content': '上周日几号？那天北京天气情况如何'
+        # 'content': '上周日几号？那天北京天气情况如何'
+        'content': '做一个图文并茂的绘本故事，部署成一个网页。'
     }]
 
+    kwargs = {}
+    kwargs.update({
+        'stream': True,
+        'max_tokens': 16384,
+        'extra_body': {
+            'enable_thinking': False
+        }
+    })
+
     response = bot.run(
         messages=messages,
-        stream=True,
-        seed=None,
+        **kwargs,
     )
 
     for chunk in response:
-        print(chunk)
+        print('\n')
+        print('-' * 100)
+        print(f'>>chunk: {chunk}')
+        print('+' * 100)
+        print('\n')
 
 
 if __name__ == '__main__':