​
Code

cookbook/models/deepinfra/structured_output.py
from typing import List

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


class MovieScript(BaseModel):
    setting: str = Field(
        ..., description="提供一个精彩电影的场景。"
    )
    ending: str = Field(
        ...,
        description="电影的结局。如果不可用，请提供一个happy ending。",
    )
    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="为这部电影起一个名字")
    characters: List[str] = Field(..., description="为这部电影起的名字的角色。")
    storyline: str = Field(
        ..., description="电影三句话的故事情节。让它激动人心！"
    )


json_mode_agent = Agent(
    model=DeepInfra(id="meta-llama/Llama-2-70b-chat-hf"),
    description="你帮助人们编写电影剧本。",
    response_model=MovieScript,
)

# Get the response in a variable
# json_mode_response: RunResponse = json_mode_agent.run("New York")
# pprint(json_mode_response.content)

json_mode_agent.print_response("New York")

​
Usage

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 DEEPINFRA_API_KEY=xxx
3

安装库

pip install -U openai agno
4

运行 Agent

python cookbook/models/deepinfra/structured_output.py