​
代码

cookbook/models/azure/ai_foundry/structured_output.py
from typing import List

from agno.agent import Agent, RunResponse  # noqa
from agno.models.azure import AzureAIFoundry
from pydantic import BaseModel, Field
from rich.pretty import pprint  # noqa


class MovieScript(BaseModel):
    setting: str = Field(
        ..., description="为一部大片提供一个不错的场景。"
    )
    ending: str = Field(
        ...,
        description="电影的结局。如果不可用，请提供一个快乐的结局。",
    )
    genre: str = Field(
        ...,
        description="电影的类型。如果不可用，请选择动作片、惊悚片或浪漫喜剧。",
    )
    name: str = Field(..., description="给这部电影起个名字")
    characters: List[str] = Field(..., description="这部电影的角色名称。")
    storyline: str = Field(
        ..., description="电影的 3 句话剧情简介。要精彩！"
    )


agent = Agent(
    model=AzureAIFoundry(id="Phi-4"),
    description="你帮助人们编写电影剧本。",
    response_model=MovieScript,
    # debug_mode=True,
)

# 在变量中获取响应
# run: RunResponse = agent.run("New York")
# pprint(run.content)

agent.print_response("New York")

​
用法

1

创建虚拟环境

打开 Terminal 并创建一个 python 虚拟环境。

python3 -m venv .venv
source .venv/bin/activate
2

设置你的 API 密钥

export AZURE_API_KEY=xxx
export AZURE_ENDPOINT=xxx
3

安装库

pip install -U azure-ai-inference agno
4

运行代理

python cookbook/models/azure/ai_foundry/structured_output.py