How-to guide
How to Set Up the Monetzly SDK in Flowise
This guide shows how to set up the Monetzly SDK in a Flowise 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 Flowise produces and streams responses.
Overview
Before you can monetize a Flowise 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.
Flowise apps are usually built for visual chatbot building, no-code RAG, and prototyping agent flows, 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 Flowise
Flowise runs on Node, so the Monetzly SDK can live in the layer that consumes a flow's prediction stream. Call the Flowise prediction API with streaming enabled, adapt its SSE token events to { content }, and pass them through sdk.inject() before relaying to your users. Confirm the streaming response shape for your Flowise version / deployment.
Because Monetzly's inject() accepts any async token stream, the Flowise side of this task is just mapping your output to it, no rewrite of your Flowise model call.
Steps
- Install the SDK (or, for a Python Flowise 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";
const sdk = new MonetzlySDK({
apiKey: process.env.MONETZLY_API_KEY!,
serverAddress: process.env.MONETZLY_SERVER_ADDRESS!,
});
await sdk.connect();
// TODO_VERIFY: adapt to your Flowise streaming prediction response shape.
async function* flowiseChunks() {
const res = await fetch(`${FLOWISE_URL}/api/v1/prediction/${flowId}`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ question, streaming: true }),
});
for await (const token of parseSSE(res.body!)) yield { content: token };
}
for await (const t of sdk.inject(flowiseChunks(), { prompt: question })) 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.