langchain/dist/agents/middleware/modelRefusal.cjs

Typescript bindings for langchain

const require_errors = require("../errors.cjs");
const require_middleware = require("../middleware.cjs");
let _langchain_core_messages = require("@langchain/core/messages");
let _langchain_core_errors = require("@langchain/core/errors");
// src/agents/middleware/modelRefusal.ts
function throwIfRefused(message) {
	if (!message) return;
	for (const block of message.contentBlocks) if (block.type === "refusal") throw _langchain_core_errors.ModelRefusalError.fromRefusal(block, message);
}
/**
* The `StructuredOutputParsingError` behind `error`, if any.
*
* Middleware listed after this one wraps errors in `MiddlewareError`, so the
* parsing error can sit further down the `cause` chain.
*/
function parsingError(error) {
	let current = error;
	while (require_errors.MiddlewareError.isInstance(current)) current = current.cause;
	return current instanceof require_errors.StructuredOutputParsingError ? current : void 0;
}
/**
* Middleware that throws {@link ModelRefusalError} when the model refuses.
*
* Providers report a refusal, such as a safety-policy refusal, as a successful
* response, so without this middleware the agent run ends as if it succeeded.
* The middleware checks each model response for a `refusal` content block,
* including refusals that fail to parse under a structured `responseFormat`.
* It does not detect refusals the model writes as ordinary text.
*
* List it after {@link modelFallbackMiddleware} so the fallback catches the
* error and retries the request on the next model. `modelRetryMiddleware` does
* not retry refusals.
*
* @example
* ```ts
* import {
*   createAgent,
*   modelFallbackMiddleware,
*   modelRefusalMiddleware,
* } from "langchain";
*
* const agent = createAgent({
*   model: "anthropic:claude-sonnet-5-5",
*   tools: [],
*   middleware: [
*     modelFallbackMiddleware("openai:gpt-6.1-sol"),
*     modelRefusalMiddleware(),
*   ],
* });
* ```
*/
function modelRefusalMiddleware() {
	return require_middleware.createMiddleware({
		name: "modelRefusalMiddleware",
		wrapModelCall: async (request, handler) => {
			let response;
			try {
				response = await handler(request);
			} catch (error) {
				throwIfRefused(parsingError(error)?.aiMessage);
				throw error;
			}
			const messages = _langchain_core_messages.AIMessage.isInstance(response) ? [response] : response.messages ?? [];
			for (const message of messages) if (_langchain_core_messages.AIMessage.isInstance(message)) throwIfRefused(message);
			return response;
		}
	});
}
exports.modelRefusalMiddleware = modelRefusalMiddleware;

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