PySpur: A Visual Playground for Agentic Workflows
PySpur is designed to help AI engineers iterate over their agents quickly and efficiently. It addresses common challenges faced in AI development, such as reliability and debugging. With PySpur, users can define test cases, build agents using Python or a user interface, and deploy them seamlessly.
Key Features:
- Quick Start: Easy installation and setup with Python 3.11 or higher.
- Human-in-the-loop Breakpoints: Pause workflows for human approval, ensuring quality control.
- Multimodal Support: Upload various file types (PDFs, videos, audio, images) for processing.
- Iterative Development: Create and evaluate agents with loops and modular building blocks.
- Performance Evaluation: Assess the final performance of agents on real-world datasets.
- Self-improvement: Future updates will include self-improvement capabilities.
Benefits:
- Faster Iteration: Iterate over agents 10x faster than traditional methods.
- Enhanced Debugging: Debug at the node level for better visibility into workflows.
- Flexible Development: Supports various development environments, including Docker and VS Code.
Highlights:
- Community Feedback: Actively encourages user feedback for continuous improvement.
- Open Source: Contribute to the project and help shape its future.
Get started with PySpur today and revolutionize your AI agent development process!