langchain/dist/agents/middleware/modelRouter.cjs

Typescript bindings for langchain

const require_chat_models_universal = require("../../chat_models/universal.cjs");
const require_middleware = require("../middleware.cjs");
let _langchain_core_messages = require("@langchain/core/messages");
let zod_v4 = require("zod/v4");
let _langchain_core_tracers_tracer_langchain = require("@langchain/core/tracers/tracer_langchain");
// src/agents/middleware/modelRouter.ts
const QUESTION_ID = "model_route";
/**
* Select an agent's model with a decision model's `Choice` answer (beta).
*
* The middleware classifies the latest human message once before an agent
* run, stores the complete `ChoiceAnswer` in agent state as `modelRoute`, and
* uses its selected label for every model call in the run. Keeping the
* complete answer makes probabilities and confidence available in state and
* traces. Classifier failures propagate and terminate the run rather than
* silently selecting a different model.
*
* @example
* ```ts
* import { createAgent, modelRouterMiddleware } from "langchain";
*
* const router = modelRouterMiddleware({
*   choices: {
*     fast: {
*       model: "openai:gpt-5-mini",
*       criteria: "Simple, well-scoped tasks.",
*     },
*     powerful: {
*       model: powerfulModel,
*       criteria: "Complex tasks requiring deeper reasoning.",
*     },
*   },
*   instructions: "Choose the least costly model suited to the task.",
*   classifier,
* });
* const agent = createAgent({
*   model: "openai:gpt-5-mini",
*   middleware: [router],
* });
* ```
*
* @throws Error if `choices` is empty.
*/
function modelRouterMiddleware(config) {
	const { choices, instructions, classifier } = config;
	const routes = Object.keys(choices);
	if (routes.length === 0) throw new Error("modelRouterMiddleware requires at least one choice.");
	const questions = { [QUESTION_ID]: {
		type: "choice",
		instructions,
		criteria: Object.fromEntries(routes.map((route) => [route, choices[route].criteria]))
	} };
	const models = /* @__PURE__ */ new Map();
	const modelFor = (route) => {
		let pending = models.get(route);
		if (pending === void 0) {
			const { model } = choices[route];
			pending = Promise.resolve(typeof model === "string" ? require_chat_models_universal.initChatModel(model) : model);
			pending.catch(() => models.delete(route));
			models.set(route, pending);
		}
		return pending;
	};
	return require_middleware.createMiddleware({
		name: "ModelRouterMiddleware",
		stateSchema: zod_v4.z.object({ modelRoute: zod_v4.z.custom().optional() }),
		tracePolicy: { processInputs: _langchain_core_tracers_tracer_langchain.omitPayload },
		async beforeAgent(state, runtime) {
			const message = [...state.messages].reverse().find((candidate) => _langchain_core_messages.HumanMessage.isInstance(candidate));
			if (message === void 0) throw new Error("modelRouterMiddleware requires a HumanMessage in the agent state to route on.");
			const answer = (await classifier.invoke({
				state: message,
				questions
			}, { signal: runtime.signal })).choices[QUESTION_ID];
			if (!Object.hasOwn(choices, answer.choice)) throw new Error(`modelRouterMiddleware: the classifier selected unknown route "${answer.choice}".`);
			return { modelRoute: answer };
		},
		async wrapModelCall(request, handler) {
			const route = request.state.modelRoute;
			if (route === void 0) throw new Error("modelRouterMiddleware found no routing answer in state.");
			return handler({
				...request,
				model: await modelFor(route.choice)
			});
		}
	});
}
exports.modelRouterMiddleware = modelRouterMiddleware;

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