Build Conversation

AgentScope supports developers to build conversation with explicit message exchange among different agents.

from agentscope.agents import DialogAgent, UserAgent
from agentscope.message import Msg
from agentscope import msghub
import agentscope

# Initialize via model configuration for simplicity
agentscope.init(
    model_configs={
        "config_name": "my-qwen-max",
        "model_name": "qwen-max",
        "model_type": "dashscope_chat",
    },
)

[]

Two Agents

Here we build a simple conversation between agent Jarvis and user.

angel = DialogAgent(
    name="Angel",
    sys_prompt="You're a helpful assistant named Angel.",
    model_config_name="my-qwen-max",
)

monster = DialogAgent(
    name="Monster",
    sys_prompt="You're a helpful assistant named Monster.",
    model_config_name="my-qwen-max",
)

Now, we can start the conversation by exchanging messages between these two agents for three rounds.

msg = None
for _ in range(3):
    msg = angel(msg)
    msg = monster(msg)

Angel: It seems like the conversation history is missing. Could you please provide more details or context so I can assist you better?
Monster: Of course! I'm here to help, but I need a bit more information. Could you please let me know what you're looking for or what kind of assistance you need? If you were in the middle of a conversation and it got cut off, feel free to give me a brief summary, and we can pick up from there.
Angel: I see, it looks like there was a bit of a mix-up with the names. I'm Angel, and I'm here to help you! Could you please provide some context or let me know what you need assistance with? If we were in the middle of a conversation, feel free to give me a brief summary, and we can continue from there.
Monster: Hello Angel! It looks like there was a bit of confusion with the names, but no worries. I'm Monster, and I'm here to assist you.

If you could provide some context or let me know what you need help with, that would be great. If we were in the middle of a conversation, feel free to give me a brief summary, and we can pick up from there. How can I help you today?
Angel: Hello! I'm Angel, and it looks like there was a bit of a mix-up with the names. I'm here to assist you. Could you please provide some context or let me know what you need help with? If we were in the middle of a conversation, feel free to give me a brief summary, and we can continue from there. How can I assist you today?
Monster: Hello Angel! It seems we've had a bit of a mix-up with the names, but no worries. I'm Monster, and I'm here to help you.

If you could provide some context or let me know what you need assistance with, that would be great. If we were in the middle of a conversation, feel free to give me a brief summary, and we can pick up from there. How can I assist you today?

If you want to participate in the conversation, just instantiate a built-in UserAgent to type messages to the agents.

user = UserAgent(name="User")

More than Two Agents

When there are more than two agents in a conversation, the message from one agent should be broadcasted to all the others.

To simplify the operation of broadcasting messages, AgentScope provides a msghub module. Specifically, the agents within the same msghub will receive messages from other participants in the same msghub automatically. By this way, we just need to organize the order of speaking without explicitly sending messages to other agents.

Here is a example for msghub, we first create three agents: Alice, Bob, and Charlie with qwen-max model.

alice = DialogAgent(
    name="Alice",
    sys_prompt="You're a helpful assistant named Alice.",
    model_config_name="my-qwen-max",
)

bob = DialogAgent(
    name="Bob",
    sys_prompt="You're a helpful assistant named Bob.",
    model_config_name="my-qwen-max",
)

charlie = DialogAgent(
    name="Charlie",
    sys_prompt="You're a helpful assistant named Charlie.",
    model_config_name="my-qwen-max",
)

The three agents will participate in a conversation to report numbers alternatively.

# Introduce the rule of the conversation
greeting = Msg(
    name="user",
    content="Now you three count off each other from 1, and just report the number without any other information.",
    role="user",
)

with msghub(
    participants=[alice, bob, charlie],
    announcement=greeting,  # The announcement message will be broadcasted to all participants at the beginning.
) as hub:
    # The first round of the conversation
    alice()
    bob()
    charlie()

    # We can manage the participants dynamically, e.g. delete an agent from the conversation.
    hub.delete(charlie)

    # Broadcast a message to all participants
    hub.broadcast(
        Msg(
            "user",
            "Charlie has left the conversation.",
            "user",
        ),
    )

    # The second round of the conversation
    alice()
    bob()
    charlie()

Alice: 1
Bob: 2
Charlie: 3
Alice: 4
Bob: 5
Charlie: 1

Now we print the memory of Alice and Bob to check if the operation is successful.

print("Memory of Alice:")
for msg in alice.memory.get_memory():
    print(f"{msg.name}: {msg.content}")

print("\nMemory of Charlie:")
for msg in charlie.memory.get_memory():
    print(f"{msg.name}: {msg.content}")

Memory of Alice:
user: Now you three count off each other from 1, and just report the number without any other information.
Alice: 1
Bob: 2
Charlie: 3
user: Charlie has left the conversation.
Alice: 4
Bob: 5

Memory of Charlie:
user: Now you three count off each other from 1, and just report the number without any other information.
Alice: 1
Bob: 2
Charlie: 3
Charlie: 1

In the above example, Charlie left the conversation after the first round without receiving “4” and “5” from Alice and Bob. Therefore, it reported “4” in the second round. On the other hand, Alice and Bob continued the conversation without Charlie.