Together Image Agent Bytes
Send local image bytes to a current Together vision model and stream the description.
Together retired the source's meta-llama/Llama-Vision-Free serverless model. Select a current vision model from the Together serverless catalog before running. See Together vision inputs.
"""
Together Image Agent Bytes
==========================
Cookbook example for `together/image_agent_bytes.py`.
"""
from pathlib import Path
from agno.agent import Agent
from agno.media import Image
from agno.models.together import Together
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=Together(id="meta-llama/Llama-Vision-Free"),
markdown=True,
)
image_path = Path(__file__).parent.joinpath("sample.jpg")
# Read the image file content as bytes
image_bytes = image_path.read_bytes()
agent.print_response(
"Tell me about this image",
images=[
Image(content=image_bytes),
],
stream=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
passRun the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno openaiExport environment variables
export TOGETHER_API_KEY="your_together_api_key_here"
export TOGETHER_VISION_MODEL_ID="your_current_together_vision_model_id_here"Use the selected vision model
Add import os, then replace Together(id="meta-llama/Llama-Vision-Free") with Together(id=os.environ["TOGETHER_VISION_MODEL_ID"]) in the saved file.
Add the sample image
Place a JPEG named sample.jpg in the same directory as image_agent_bytes.py.
Run the example
Save the code above as image_agent_bytes.py, then run:
python image_agent_bytes.pyFull source: cookbook/90_models/together/image_agent_bytes.py