What is Toto
Toto is an intelligent LLM router and interaction layer designed for cost-effective AI task management. It acts as an interaction layer for the human-agent world model, routing tasks to the most cost-effective capable model to achieve the same outcome at a fraction of the spend.
How to use Toto
Toto operates by routing AI tasks to the most suitable and cost-effective model. Users can interact with Toto through its dashboard, which provides a human-readable view of tasks and their routing. The system visualizes the human and agent interactions within a "world model," allowing users to click on nodes to explore tasks and their associated data. For businesses overspending on LLM calls, Toto offers a pilot program. Interested parties can submit their email via a form on the website to be contacted.
Features of Toto
- Intelligent LLM Routing: Automatically routes tasks to the most cost-effective capable model.
- Cost Management: Aims to reduce LLM spending by optimizing model selection.
- Human-Agent World Model: Provides a unified view of human and agent interactions.
- Interactive Visualization: Features a 3D graph visualization of the world model, allowing users to explore nodes and task details.
- Task Management: Organizes and displays tasks in a human-readable list format.
- Real-time State: Holds and manages the state for all actors in the system.
- Pilot Program: Offers a program for businesses experiencing high LLM token costs.
Use Cases of Toto
- Cost Optimization for AI Tasks: Businesses can significantly reduce expenses on LLM calls by using Toto to route tasks to cheaper, yet capable, models.
- Streamlining AI Workflows: Manages and visualizes the interaction between humans and AI agents, providing a clear overview of task execution.
- Understanding AI System Dynamics: The world model visualization helps in comprehending how different AI agents and human users interact within a shared environment.
FAQ
How does Toto help reduce costs? Toto routes each task to the cheapest model that is capable of performing it, leading to significant savings on LLM calls compared to using a single, potentially more expensive, model for all tasks.
What is the "human-agent world model"? It's a representation of how humans and AI agents interact and share information in real-time. Toto manages this state, providing a unified view for all participants.
