from pathlib import Path
from agno.agent import Agent
from agno.media import File
from agno.models.openai.responses import OpenAIResponses
from agno.utils.media import download_file
pdf_path = Path(__file__).parent.joinpath("ThaiRecipes.pdf")
# 使用 download_file 函数下载文件
download_file(
"https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf", str(pdf_path)
)
agent = Agent(
model=OpenAIResponses(id="gpt-4o-mini"),
tools=[{"type": "file_search"}],
markdown=True,
add_history_to_messages=True,
)
agent.print_response(
"总结附件内容。",
files=[File(filepath=pdf_path)],
)
agent.print_response("从附件中推荐一个食谱。")
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
设置您的 API 密钥
export OPENAI_API_KEY=xxx
安装库
pip install -U openai agno
运行 Agent
python cookbook/models/openai/responses/pdf_input_local.py