Monetizing LangChain & LlamaIndex AI Agents in 3 Lines of Code

Building production AI agents on LangChain or LlamaIndex is easier than ever, but covering recurring LLM API inference costs remains a major hurdle for developers.

Integrating MatrixAds in LangChain LCEL Pipelines

With @matrixads/sdk, you can wrap your chain execution or intercept streaming output to inject contextually relevant AdPrompts into your assistant UI:

import { MatrixAdsClient } from '@matrixads/sdk';

const client = new MatrixAdsClient({ publisherKey: process.env.MATRIXADS_PUBLISHER_KEY });

const adResponse = await client.matchAd({
  prompt: userQuery,
  targetCategory: 'Developer Tools'
});

if (adResponse.match) {
  console.log('Contextual Ad:', adResponse.ad.headline);
}

Zero-Latency Token Streaming

Because MatrixAds matches ads in parallel over a sub-38ms vector index, your LLM token streaming speed remains entirely uninhibited, giving your users a seamless chat experience.