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How to add typed routing to a LangChain pipeline with Awesome Jev

Insert a Jev classifier Runnable that routes requests and checks risky tool calls.

Who it is forA developer whose LangChain app sends every request to one model and needs cheap, bounded routing.

The problemRouting by hand-written rules is brittle, and risky tool calls run without a second check.

The outcomeA pipeline step that picks a route from a fixed set and gates tool calls before they run.

What you need first

  • Access to Jev through the TypeSafe early-access entry point at typesafe.ai
  • A small labeled sample of your own data to check Jev answers before relying on them

Steps

  1. Read the TypeSafeClassifier section in the langchain repository at github.com/langchain-ai/langchain.
  2. Define your routes as a fixed set of Choice options.
  3. Insert the classifier as a Runnable ahead of the model call and batch questions where the pipeline allows.
  4. Enable the model-routing and risky-tool middleware for the tools that can change state.
  5. Test the routing on a labeled set of requests before deploying.

Prompt for your agent

In the langchain repository at github.com/langchain-ai/langchain, wire the TypeSafeClassifier Runnable to route <request type> into the fixed routes <route list>. Report the route chosen for each of twenty labeled requests. Verify that every risky tool call is blocked or flagged by the middleware.

Caveat. The README marks this as a Python integration, so confirm the installed version exposes the classifier before building on it.

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