Agent with Structured Outputs

Code

cookbook/models/aws/bedrock/structured_output.py

from typing import List

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


class MovieScript(BaseModel):
    setting: str = Field(
        ..., description="提供一个适合大片的场景。"
    )
    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、惊悚或浪漫喜剧。",
    )
    name: str = Field(..., description="给这部电影起个名字")
    characters: List[str] = Field(..., description="这部电影的角色名字。")
    storyline: str = Field(
        ..., description="这部电影的3句故事梗概。要精彩！"
    )


movie_agent = Agent(
    model=AwsBedrock(id="mistral.mistral-large-2402-v1:0"),
    description="您帮助人们编写电影剧本。",
    response_model=MovieScript,
)

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

movie_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。

   Mac

   python3 -m venv .venv
   source .venv/bin/activate
   
2. 设置您的 AWS 凭证

   export AWS_ACCESS_KEY_ID=***
   export AWS_SECRET_ACCESS_KEY=***
   export AWS_REGION=***
   
3. 安装库

   pip install -U boto3 agno
   
4. 运行 Agent

   Mac

   python cookbook/models/aws/bedrock/structured_output.py