LLM agent responding to queries

# Example: LLM Agent interfacing with enterprise systems

class EnterpriseAgent:
    def __init__(self, llm_model, erp_system, crm_system, analytics_platform):
        self.llm = llm_model
        self.erp = erp_system
        self.crm = crm_system
        self.analytics = analytics_platform

    def analyze_customer_trends(self):
        # Pull data from CRM and ERP
        customer_data = self.crm.get_customer_data()
        sales_data = self.erp.get_sales_data()

        # Use LLM to analyze trends
        prompt = f"Analyze the following customer and sales data to identify emerging trends: {customer_data}, {sales_data}"
        analysis = self.llm.generate(prompt)

        # Push insights to analytics platform
        self.analytics.add_insight(analysis)

        return analysis

agent = EnterpriseAgent(GPT4(), SAP(), Salesforce(), Tableau())
trends = agent.analyze_customer_trends()
print(trends)