What is Rivet?
Rivet is an open-source visual programming environment specifically created for constructing AI agents using Large Language Models (LLMs). Developed and utilized by Ironclad Research, Rivet addresses the challenges associated with building complex AI agents programmatically. It offers a visual interface that simplifies the design and iteration process for intricate prompt graphs.
This tool allows teams to effectively design, debug, and collaborate on these LLM prompt graphs before deploying them directly into their applications. Key advantages include the ability to visualize and build production-ready chains, observe the real-time execution of prompt chains remotely for debugging purposes, and facilitate team collaboration through versionable YAML graph files compatible with standard code review tools. Rivet powers applications like Ironclad Contract AI, demonstrating its capability in creating sophisticated virtual assistants.
Features
- Visual Programming Environment: Build complex AI agent chains visually.
- Remote Debugging: Observe the real-time execution of prompt chains within applications.
- Collaboration: Graphs are stored as YAML files for version control and team review.
- Production-Ready Design: Suitable for building applications for production, not just prototypes.
- Open-Source: Freely available for use and modification.
Use Cases
- Building complex AI agents.
- Developing applications using Large Language Models (LLMs).
- Debugging LLM prompt chains.
- Collaborative development of AI workflows.
- Creating virtual assistants.
- Prototyping and iterating on AI-powered experiences.
