image_agent_file.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI API key
4
Run the example
Save the code above as
image_agent_file.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Attach a local image by filepath, with auto-detected or explicit MIME types.
from pathlib import Path
import httpx
from agno.agent import Agent
from agno.media import Image
from agno.models.openai import OpenAIChat
agent = Agent(
model=OpenAIChat(id="gpt-4o"),
markdown=True,
)
image_path = Path(__file__).parent.joinpath("sample.jpg")
if not image_path.exists():
resp = httpx.get(
"https://picsum.photos/id/1/640/480",
headers={"User-Agent": "agno-cookbook/1.0"},
follow_redirects=True,
)
image_path.write_bytes(resp.content)
# Auto-detect MIME from file extension (.jpg -> image/jpeg)
agent.print_response(
"Tell me about this image.",
images=[Image(filepath=image_path)],
stream=True,
)
# Explicit MIME type override
agent.print_response(
"What do you see?",
images=[Image(filepath=image_path, mime_type="image/jpeg")],
stream=True,
)
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno openai
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
image_agent_file.py, then run:python image_agent_file.py
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