director_name = "Jon Stewart"
agent_summaries = OrderedDict({
    "Jon Stewart": ("Host of the Daily Show", "New York"),
    "Samantha Bee": ("Hollywood Correspondent", "Los Angeles"), 
    "Aasif Mandvi": ("CIA Correspondent", "Washington D.C."),
    "Ronny Chieng": ("Average American Correspondent", "Cleveland, Ohio"),
})
word_limit = 50
Generate system messages#
agent_summary_string = '\n- '.join([''] + [f'{name}: {role}, located in {location}' for name, (role, location) in agent_summaries.items()])
conversation_description = f"""This is a Daily Show episode discussing the following topic: {topic}.
The episode features {agent_summary_string}."""
agent_descriptor_system_message = SystemMessage(
    content="You can add detail to the description of each person.")
def generate_agent_description(agent_name, agent_role, agent_location):
    agent_specifier_prompt = [
        agent_descriptor_system_message,
        HumanMessage(content=
            f"""{conversation_description}
            Please reply with a creative description of {agent_name}, who is a {agent_role} in {agent_location}, that emphasizes their particular role and location.
            Speak directly to {agent_name} in {word_limit} words or less.
            Do not add anything else."""
            )
    ]
    agent_description = ChatOpenAI(temperature=1.0)(agent_specifier_prompt).content
    return agent_description
def generate_agent_header(agent_name, agent_role, agent_location, agent_description):
    return f"""{conversation_description}
Your name is {agent_name}, your role is {agent_role}, and you are located in {agent_location}.
Your description is as follows: {agent_description}
rtdocs_stable/api.python.langchain.com/en/stable/use_cases/agent_simulations/multiagent_authoritarian.html