from typing import List
from agno.agent import Agent, RunResponse # noqa
from agno.models.fireworks import Fireworks
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="为这部电影起个名字")
characters: List[str] = Field(..., description="这部电影的角色名字。")
storyline: str = Field(
..., description="电影的3句话剧情梗概。要令人兴奋!"
)
# 使用 JSON 模式的代理
agent = Agent(
model=Fireworks(id="accounts/fireworks/models/llama-v3p1-405b-instruct"),
description="你编写电影剧本。",
response_model=MovieScript,
)
# 在变量中获取响应
# response: RunResponse = agent.run("New York")
# pprint(json_mode_response.content)
agent.print_response("New York")
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
设置你的 API 密钥
export FIREWORKS_API_KEY=xxx
安装库
pip install -U openai agno
运行代理
python cookbook/models/fireworks/structured_output.py