image_input_local_file.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your Anthropic API key
4
Run the example
Save the code above as
image_input_local_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.
Download a PNG locally and pass it to Claude by filepath as an image input.
"""
In this example, we upload a PDF file to Anthropic directly and then use it as an input to an agent.
"""
from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.anthropic import Claude
from agno.utils.media import download_file
from anthropic import Anthropic
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
img_path = Path(__file__).parent.joinpath("agno-intro.png")
# Download the file using the download_file function
download_file(
"https://agno-public.s3.us-east-1.amazonaws.com/images/agno-intro.png",
str(img_path),
)
# Initialize Anthropic client
client = Anthropic()
agent = Agent(
model=Claude(id="claude-sonnet-4-20250514"),
markdown=True,
)
agent.print_response(
"What does the attached image say.",
images=[Image(filepath=img_path)],
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
pass
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 anthropic
Export your Anthropic API key
export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
$Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
Run the example
image_input_local_file.py, then run:python image_input_local_file.py
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