@synexa/javascript v1.0.1

Synexa Node.js Client

A Node.js client for Synexa AI API. It lets you run AI models and manage predictions through Synexa's HTTP API.

Installation

Install it from npm:

npm install synexa

Usage

Import the package:

// ESM
import Synexa from 'synexa';

// CommonJS
const Synexa = require('synexa').default;

Instantiate the client:

const synexa = new Synexa({
  auth: process.env.SYNEXA_API_TOKEN // Your Synexa API token
});

Run a model and await the result:

const model = "black-forest-labs/flux-schnell";
const input = {
  prompt: "An astronaut riding a rainbow unicorn, cinematic, dramatic"
};

const [output] = await synexa.run(model, { input });
// If the output is a URL, you get a FileOutput object
if (output instanceof FileOutput) {
  console.log(output.url()); // Get the URL string
  const blob = await output.blob(); // Get the file data as a Blob
}

You can also create a prediction with more control:

// Create a prediction with webhook
const prediction = await synexa.createPrediction({
  model: "black-forest-labs/flux-schnell",
  input: {
    prompt: "An astronaut riding a rainbow unicorn, cinematic, dramatic"
  },
  webhook: "https://your-webhook-url.com",
  webhook_events_filter: ["start", "completed"]
});

// Get prediction status
const status = await synexa.getPrediction(prediction.id);

// Wait for the prediction with options
const result = await synexa.wait(prediction, {
  type: "block", // "block" or "poll"
  interval: 1000, // polling interval in ms
  timeout: 60 // timeout in seconds for blocking mode
});

console.log(result.output);

Advanced usage with all options:

const controller = new AbortController();

const [output] = await synexa.run("black-forest-labs/flux-schnell", {
  input: {
    prompt: "An astronaut riding a rainbow unicorn, cinematic, dramatic"
  },
  wait: {
    type: "block", // or "poll"
    interval: 1000, // polling interval in ms
    timeout: 60 // timeout in seconds for blocking mode
  },
  webhook: "https://your-webhook-url.com",
  webhook_events_filter: ["start", "output", "logs", "completed"],
  signal: controller.signal, // AbortSignal for cancellation
  progress: (prediction) => {
    console.log(`Status: ${prediction.status}`);
  }
});

API Reference

Constructor Options

Run Options

FileOutput

The FileOutput class implements ReadableStream and provides methods to access file data:

• url(): Get the URL string for the file
• blob(): Get the file data as a Blob

Error Handling

The client will throw errors for various failure cases:

• Network errors
• API errors
• Timeout errors when polling for results
• Missing or invalid output
• Prediction cancellation
• Failed predictions with error messages