Prompt Eng + Change to QWEN

README.md

@@ -27,7 +27,7 @@ TinyCodeAgent is an extention to [TinyAgent](https://github.com/askbudi/tinyagen
 You can extend it using TinyAgent Hooks system, and use it with Gradio Integration.
 Your agent could become a MCP Server or tool for another agent. 
 
-This Project is using **Qwen/Qwen3-30B-A3B-fast**  from [Nebius](https://nebius.ai/) thanks to their support.
+This Project is using **Qwen/Qwen3-235B-A22B**  from [Nebius](https://nebius.ai/) thanks to their support.
 
 
 ## Benefits

app.py

@@ -92,7 +92,9 @@ class PythonCodeInterpreter:
         self.default_python_codes = default_python_codes
 
         self.modal_secrets = modal.Secret.from_dict(modal_secrets)
-        self.pip_packages = list(set(["cloudpickle"]+pip_packages))
+        self.pip_packages = list(set(["cloudpickle","requests","tinyagent-py[all]==0.0.7",
+            "gradio",
+            "arize-phoenix-otel",]+pip_packages))
         self.lazy_init = lazy_init
         self.create_app(self.modal_secrets,self.pip_packages,self.code_tools)
         
@@ -100,9 +102,7 @@ class PythonCodeInterpreter:
     def create_app(self,modal_secrets:Dict[str,Union[str,None]],pip_packages:List[str]=[],code_tools:List[Dict[str,Any]]=[]):
         
         agent_image = modal.Image.debian_slim(python_version=self.PYTHON_VERSION).pip_install(
-            "tinyagent-py[all]==0.0.6",
-            "gradio",
-            "arize-phoenix-otel",
+            
             *pip_packages
         )
         self.app = modal.App(
@@ -287,13 +287,13 @@ async def run_example():
         tools_meta_data[metadata["name"]] = metadata
     template_str = load_template("./prompts/code_agent.yaml")
     system_prompt = render_system_prompt(template_str, tools_meta_data, {}, ["tinyagent","gradio","requests","asyncio"]) + prompt_code_example + prompt_qwen_helper
-    agent = TinyAgent(model="openai/Qwen/Qwen3-30B-A3B-fast", api_key=api_key,
+    agent = TinyAgent(model="openai/Qwen/Qwen3-235B-A22B", api_key=api_key,
                       model_kwargs=dict(base_url="https://api.studio.nebius.com/v1/"),
             logger=agent_logger,
             system_prompt=system_prompt,
             
             )
-    python_interpreter = PythonCodeInterpreter(log_manager=log_manager,code_tools=tools)
+    python_interpreter = PythonCodeInterpreter(log_manager=log_manager,code_tools=tools,pip_packages=["tinyagent-py[all]","requests","cloudpickle"])
     agent.add_tool(python_interpreter.run_python)
 
 
@@ -342,7 +342,8 @@ async def run_example():
             description="Chat with TinyAgent. Try asking: 'I need to know the weather and traffic in Toronto, Montreal, New York, Paris and San Francisco.'",
             share=False,
             prevent_thread_lock=True,  # Critical to not block our event loop
-            show_error=True
+            show_error=True,
+            mcp_server=True,
         )
         ui_logger.info("Gradio interface launched (non-blocking).")
         

helper.py

@@ -23,6 +23,7 @@ prompt_qwen_helper = dedent("""
 - User can't directly see the response of run_python tool, so you need to use final_answer or ask_question whenever you want to show a response to the user.
 Other tools calls and their responses are not visible to the user.
 - run_python is a capable tool, if you need to call a function with different arguments, you can do it in one take, just like you would do in a python code you developed to be executed in one cell of Jupyter Notebook Cell.
+- When Task is not resolvable using functions available in your python enviroment, first think about creating a new function to solve the task, then ask the user about your approach and your code, if user allowed you to use it, then define and execute your custom made function. [It is your super power, you can create functions to solve the task.]
 """)
 
 def load_template(path: str) -> str:

requirements.txt

@@ -2,4 +2,5 @@ tinyagent-py[all]==0.0.7
 cloudpickle
 modal
 jinja2
-pyyaml
+pyyaml
+gradio[mcp]