How-to guide
How to Set Up the Monetzly SDK in LlamaIndex.TS
This guide shows how to set up the Monetzly SDK in a LlamaIndex.TS app, the goal being to get the SDK configured and connected before injecting any ads. It builds on the Monetzly server SDK, so the approach is specific to how LlamaIndex.TS produces and streams responses.
Overview
Before you can monetize a LlamaIndex.TS app, the Monetzly client needs configuring and connecting. This is a one-time setup: an API key, the ad-server address, and SSL settings, then a connection you open when a request starts and close when it ends.
Keep the API key in an environment variable, never in source. Use a non-SSL localhost address in development and your real ad-server host in production.
LlamaIndex.TS apps are usually built for RAG over private docs, knowledge-base search, and structured data QA, so set up the Monetzly SDK typically comes up while a user is mid-conversation, the moment where monetization has to be additive rather than disruptive.
How this works on LlamaIndex.TS
Use the TypeScript edition (LlamaIndex.TS) so you stay in the Node runtime the SDK requires. A streaming chat/query engine yields response chunks; map each chunk's text to { content } and pass into sdk.inject(). Confirm the chunk field name against your LlamaIndex.TS version.
Because Monetzly's inject() accepts any async token stream, the LlamaIndex.TS side of this task is just mapping your output to it, no rewrite of your LlamaIndex.TS model call.
Steps
- Install the SDK (or, for a Python LlamaIndex.TS stack, generate gRPC stubs from the shipped tps_alter.proto).
- Create a config with your API key, server address, and SSL flag.
- Open a connection at the start of a request and close it when the response finishes.
Integration snippet
import { MonetzlySDK } from "@monetzly/server-sdk";
// import a streaming chat engine from "llamaindex"
const sdk = new MonetzlySDK({
apiKey: process.env.MONETZLY_API_KEY!,
serverAddress: process.env.MONETZLY_SERVER_ADDRESS!,
});
await sdk.connect();
const stream = await chatEngine.chat({ message, stream: true });
async function* asChunks() {
// TODO_VERIFY: confirm the text field (e.g. .response / .delta) for your version.
for await (const chunk of stream) yield { content: chunk.response ?? chunk.delta ?? "" };
}
for await (const t of sdk.inject(asChunks(), { prompt: message })) send(t.content ?? "");
await sdk.disconnect();Frequently asked questions
Start monetizing in about 5 minutes
Wrap your existing LLM response stream with the Monetzly SDK and earn on every session, no paywall required.