speaker = self.agents[speaker_idx]
        # 2. next speaker sends message
        message = speaker.send()
        # 3. everyone receives message
        for receiver in self.agents:
            receiver.receive(speaker.name, message)
        # 4. increment time
        self._step += 1
        return speaker.name, message
Define roles and quest#
protagonist_name = "Harry Potter"
storyteller_name = "Dungeon Master"
quest = "Find all of Lord Voldemort's seven horcruxes."
word_limit = 50 # word limit for task brainstorming
Ask an LLM to add detail to the game description#
game_description = f"""Here is the topic for a Dungeons & Dragons game: {quest}.
        There is one player in this game: the protagonist, {protagonist_name}.
        The story is narrated by the storyteller, {storyteller_name}."""
player_descriptor_system_message = SystemMessage(
    content="You can add detail to the description of a Dungeons & Dragons player.")
protagonist_specifier_prompt = [
    player_descriptor_system_message,
    HumanMessage(content=
        f"""{game_description}
        Please reply with a creative description of the protagonist, {protagonist_name}, in {word_limit} words or less. 
        Speak directly to {protagonist_name}.
        Do not add anything else."""
        )
]
protagonist_description = ChatOpenAI(temperature=1.0)(protagonist_specifier_prompt).content
storyteller_specifier_prompt = [
    player_descriptor_system_message,
    HumanMessage(content=
        f"""{game_description}
        Please reply with a creative description of the storyteller, {storyteller_name}, in {word_limit} words or less.
rtdocs_stable/api.python.langchain.com/en/stable/use_cases/agent_simulations/two_player_dnd.html