Quickstart

uv pip install "agentscope==2.0.11"

git clone -b main https://github.com/agentscope-ai/agentscope
cd agentscope
git checkout 8af9d25784e704a4b11d71bd673257c68505fcb8
uv pip install -e .

import agentscope

print(agentscope.__version__)

import asyncio
import os

from agentscope.agent import Agent
from agentscope.credential import DashScopeCredential
from agentscope.event import EventType
from agentscope.message import UserMsg
from agentscope.model import DashScopeChatModel
from agentscope.tool import Toolkit, Bash, Read, Write, Edit


async def main() -> None:
    agent = Agent(
        name="Friday",
        system_prompt="You are a helpful assistant named Friday.",
        model=DashScopeChatModel(
            credential=DashScopeCredential(
                api_key=os.getenv("DASHSCOPE_API_KEY"),
            ),
            model="qwen-plus",
        ),
        toolkit=Toolkit(tools=[Bash(), Read(), Write(), Edit()]),
    )

    user_msg = UserMsg(name="user", content="Hello, who are you?")

    # Option 1: await the final assistant message.
    reply_msg = await agent.reply(user_msg)
    # `reply_msg` is an `AssistantMsg` whose `content` is a list of blocks.
    # Inspect text blocks, tool calls, etc. as needed.
    ...

    # Option 2: stream incremental events (text deltas, tool calls, ...).
    async for event in agent.reply_stream(user_msg):
        # Dispatch on `event.type` — each branch handles one event kind.
        match event.type:
            case EventType.TEXT_BLOCK_DELTA:
                # Streaming text chunk from the model — append to UI / stdout.
                ...
            case EventType.TOOL_CALL_START:
                # The agent is about to invoke a tool — surface the call.
                ...
            case _:
                # Other events: thinking blocks, tool results, reply end, ...
                ...


asyncio.run(main())

uv pip install "agentscope[full]==2.0.11"

uv pip install "agentscope[full]==2.0.11"