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tRPC Chat Agent

Build powerful, type-safe chat agents with tRPC. Seamless integration of LLM capabilities with end-to-end type safety and real-time updates.

If you love tRPC, you'll love this tooklit

Demo below

End-to-End Type Safety

Every exposed API that allows custom types propagates them end-to-end, including to the frontend. No more type mismatches!

Plug-and-Play

First-class support for AI tool calls with real-time updates, interactive callbacks, and structured response types.

Automated State Management

Client-side state is managed through signals and avoids redundant re-instancing of identical data for optimal performance.

Framework Agnostic

Adapters can be written for any LLM backend or frontend framework. Currently supports Langchain and React with more coming soon.

Client-Side Tool Previews

Split client/server argument schemas allow the client to preview partial arguments before they are sent to the tool function.

Minimized Re-rendering

Built on tRPC primitives with a signals-based state approach, optimizing data flow and ensuring minimal re-renders.

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