How to Use a Small Vision Model as a Filter for an AI Agent

To use a small vision model as a filter for an AI agent, run an object detection model as a tool the agent calls first. The tool marks which images need review and returns boxes for the suspected issues, so the large vision model only looks at what was flagged. Build the filter in Roboflow Workflows and connect it to ChatGPT, Claude, or a custom Python agent. In a manufacturing setting, inspection cameras capture images of products and components during production. Computer vision models can analyze these images for visible issues such as surface damage, missing components, or incorrect assembly. An AI agent can use the results to request further visual analysis and prepare a quality-control report. As the number of inspection images grows, the agent needs a way to select images for detailed review. We can use an object detection model (opens in a new tab) as an image filter and expose it through a Workflow tool. The Workflow returns a selection flag, class labels, confidence scores, and bounding boxes. The agent uses these results to decide which images to review and which regions to inspect. In this tutorial, we will build this filtering pipeline with Roboflow Workflows and…