Toto

Say you need to summarize a support ticket, a job that a cheap model handles fine, and then draft a tricky legal clause that needs a stronger one.

Toto sorts that out for you by sending each prompt to the model that fits.

Toto is an LLM router and interaction layer that scores model capability against the needs of a task and picks from major vendors such as OpenAI, Anthropic and Google.

The point is to stop paying top-tier prices for simple prompts.

Toto also works as a bidirectional state management layer, so humans and AI agents can interact in a shared, real-time environment.

That makes it relevant if you run agent workflows and care about cost as much as output.

Developers and teams managing many AI tasks are the obvious audience for this kind of LLM router.