analyzing a company's financial reports

def financial_analysis_agent(company_name, year):
    task_plan = llm.generate(f"""
    Create a step-by-step plan to analyze the financial reports of {company_name} for the year {year}.
    Include steps for gathering data, calculating key ratios, and summarizing findings.
    """)

    steps = task_plan.split('\n')
    results = []

    for step in steps:
        step_result = llm.generate(f"""
        Execute the following step in the financial analysis process:
        {step}

        Previous steps completed:
        {'\n'.join(results)}

        Provide the output for this step:
        """)
        results.append(step_result)

    final_report = llm.generate(f"""
    Based on the following analysis steps:
    {'\n'.join(results)}

    Generate a comprehensive financial analysis report for {company_name} for the year {year}.
    Include key insights, trends, and recommendations.
    """)

    return final_report

# Usage
report = financial_analysis_agent("Acme Corp", 2023)
print(report)