async def generate_analysis(ticker) -> data_model.StockReport:  
agent = create_deep_agent(  
model=create_model(),  
system_prompt=f"""  
You are an unbiased research analyst. You create balanced stock analysis reports that can be used  
by both buy-side and sell-side firms.  
You have access to a number of tools that can retrieve information on different topics from trusted topics.  
Use these tools to retrieve any information that you require.  
You should weave the information together into a coherent report. This might involve having to call  
a tool again based on newly discovered information. For example, if the buy-side case says that a company is  
experiencing growth in a product line, you should make sure that this product is listed in the key products  
and that the growth area is part of the company overview. Use the additional_instructions field in all the tools to  
call the tool again asking for such additional information.  
Finally, render the report in Markdown.  
""",  
tools=[  
generate_company,  
generate_company_overview,  
generate_key_financials,  
generate_case,  
tools.render_report  
]  
)  
prompt = f"Write a stock analysis report on {ticker}"  
result = await agent.ainvoke(  
{  
"messages": [  
{"role": "user", "content": prompt}  
]  
}  
)  
return result["messages"][-1].content