conversation_type="call",
conversation_stage = conversation_stages.get('1', "Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional.")
)
Run the agent#
sales_agent = SalesGPT.from_llm(llm, verbose=False, **config)
# init sales agent
sales_agent.seed_agent()
sales_agent.determine_conversation_stage()
Conversation Stage: Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are contacting the prospect.
sales_agent.step()
Ted Lasso:  Hello, my name is Ted Lasso and I'm calling on behalf of Sleep Haven. We are a premium mattress company that provides customers with the most comfortable and supportive sleeping experience possible. I was wondering if you would be interested in learning more about our products and how they can improve your sleep. <END_OF_TURN>
sales_agent.human_step("Yea sure")
sales_agent.determine_conversation_stage()
Conversation Stage: Value proposition: Briefly explain how your product/service can benefit the prospect. Focus on the unique selling points and value proposition of your product/service that sets it apart from competitors.
sales_agent.step()
Ted Lasso:  Great to hear that! Our mattresses are specially designed to contour to your body shape, providing the perfect level of support and comfort for a better night's sleep. Plus, they're made with high-quality materials that are built to last. Would you like to hear more about our different mattress options? <END_OF_TURN>
sales_agent.human_step("Yes, sounds good.")
sales_agent.determine_conversation_stage()
Conversation Stage: Solution presentation: Based on the prospect's needs, present your product/service as the solution that can address their pain points.
rtdocs_stable/api.python.langchain.com/en/stable/use_cases/agents/sales_agent_with_context.html