from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIResponses
from agno.tools.googlesearch import GoogleSearchTools
from agno.utils.media import download_image
agent = Agent(
model=OpenAIResponses(id="gpt-4o"),
tools=[GoogleSearchTools()],
markdown=True,
)
image_path = Path(__file__).parent.joinpath("sample.jpg")
download_image(
url="https://upload.wikimedia.org/wikipedia/commons/0/04/GoldenGateBridge-001.jpg",
output_path=str(image_path),
)
# 将图片文件内容读取为字节
image_bytes = image_path.read_bytes()
agent.print_response(
"告诉我关于这张图片的信息,并提供与之相关的最新新闻。",
images=[
Image(content=image_bytes),
],
stream=True,
)
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 OPENAI_API_KEY=xxx
安装库
pip install -U openai agno googlesearch-python
运行代理
python cookbook/models/openai/responses/image_agent_bytes.py