Vision Agent is a Python tool that generates runnable vision code from natural language prompts and images.
The tool addresses the challenge of building vision-enabled applications by automating model selection and code generation. When given a prompt and an image or video, Vision Agent uses language models to reason about the task, selects appropriate vision models, and outputs ready-to-run Python code that developers can immediately execute or integrate into their applications.
Developers should be aware that this project has been deprecated in favor of Agentic Document Extraction. For those still considering it, the tool suits rapid prototyping of vision tasks where developers want to avoid manual model selection and boilerplate code. The setup requires obtaining API keys from LandingAI, Anthropic, and Google, as the tool depends on models from both Anthropic and Google to handle prompting and code generation while using LandingAI's infrastructure for vision capabilities. A local web application is available in the examples directory for interactive exploration before integration.
The project appears to have concluded its active development cycle, with the deprecation notice indicating that users should migrate to the successor tool for ongoing support and new features.
