# -*- coding: utf-8 -*- """The main entry point of the structured output example.""" import asyncio import json import os from typing import Literal from agentscope.agent import ReActAgent from agentscope.formatter import DashScopeChatFormatter from agentscope.memory import InMemoryMemory from agentscope.message import Msg from agentscope.model import DashScopeChatModel from agentscope.tool import Toolkit from pydantic import BaseModel, Field class TableModel(BaseModel): """A simple table model for structured output.""" name: str = Field(description="The name of the person") age: int = Field(description="The age of the person", ge=0, le=120) intro: str = Field(description="A one-sentence introduction of the person") honors: list[str] = Field( description="A list of honors received by this person", ) class ChoiceModel(BaseModel): """A simple choice model for structured output.""" choice: Literal["apple", "banana", "orange"] = Field( description="Your choice of fruit", ) async def main() -> None: """The main entry point for the structured output example.""" toolkit = Toolkit() agent = ReActAgent( name="Friday", sys_prompt="You are a helpful assistant named Friday.", model=DashScopeChatModel( api_key=os.environ.get("DASHSCOPE_API_KEY"), model_name="qwen-max", stream=True, ), formatter=DashScopeChatFormatter(), toolkit=toolkit, memory=InMemoryMemory(), ) query_msg_1 = Msg( "user", "Please introduce Einstein", "user", ) res = await agent(query_msg_1, structured_model=TableModel) print( "Structured Output 1:\n" "```\n" f"{json.dumps(res.metadata, indent=4)}\n" "```", ) query_msg_2 = Msg( "user", "Choose one of your favorite fruit", "user", ) res = await agent(query_msg_2, structured_model=ChoiceModel) print( "Structured Output 2:\n" "```\n" f"{json.dumps(res.metadata, indent=4)}\n" "```", ) asyncio.run(main())