Why are RunAPI SDKs model-specific?

Model-specific packages keep application dependencies small and make request fields easier to understand. A video app can install Kling or Seedance, a music app can install Suno, and a multimodal backend can add packages as new workflows ship.

How many models does the SDK contract cover?

The current exported contract covers 232 public model IDs and 128 request operations. That contract is generated from the RunAPI catalog and is used to keep SDK examples, CLI metadata, and API documentation aligned.

Do SDK calls use a different API key?

No. SDK calls use the same RunAPI API key as REST, CLI, MCP, and agent skills. Store it in RUNAPI_API_KEY or pass it through your deployment secret manager instead of hardcoding it in source code.

Can I use webhooks with the SDK?

Yes. SDK-created tasks use the same task lifecycle as REST requests. You can poll task status from a worker, or configure callback handling so RunAPI sends your backend the terminal task payload.

Where should I check pricing before using an SDK?

Use the model catalog and pricing page before integrating a model. SDK docs link back to model pages so developers can check the current billing unit, endpoint shape, and supported model IDs without copying price values into code.

SDK

Oficjalne SDK dla każdego języka programowania

RunAPI SDKs give Python, Node.js, PHP, Java, Ruby, and Go apps one typed integration layer for 240+ AI models across video, image, music, audio, and LLM workflows. Install a model SDK, set RUNAPI_API_KEY, create a task, then poll or receive a webhook with the same task lifecycle used by the REST API.

Get Free API Key Open SDK Docs

Python · Node.js · PHP · Java · Ruby · Go · REST-compatible

INSTALL npm install @runapi.ai/kling npm

import { KlingClient } from "@runapi.ai/kling";

const client = new KlingClient({ apiKey: process.env.RUNAPI_API_KEY });
const task = await client.textToVideo.create({
  "model": "kling-v3-turbo-text-to-video",
  "prompt": "A paper kite flying above a quiet coastal town at sunrise",
  "duration_seconds": 5,
  "aspect_ratio": "16:9",
  "output_resolution": "720p"
});

INSTALL pip install runapi-kling PyPI

import os
from runapi.kling import KlingClient

client = KlingClient(api_key=os.environ["RUNAPI_API_KEY"])
task = client.text_to_video.create(
  model="kling-v3-turbo-text-to-video",
  prompt="A paper kite flying above a quiet coastal town at sunrise",
  duration_seconds=5,
  aspect_ratio="16:9",
  output_resolution="720p"
)

INSTALL go get github.com/runapi-ai/kling-sdk/go@latest Go modules

package main

import (
  "context"
  "log"
  "os"

  "github.com/runapi-ai/core-sdk/go/option"
  kling "github.com/runapi-ai/kling-sdk/go/kling"
)

func main() {
  client, err := kling.NewClient(option.WithAPIKey(os.Getenv("RUNAPI_API_KEY")))
  if err != nil {
    log.Fatal(err)
  }

  task, err := client.TextToVideo.Create(context.Background(), kling.TextToVideoParams{
    Model: kling.TextToVideoModel("kling-v3-turbo-text-to-video"),
    Prompt: "A paper kite flying above a quiet coastal town at sunrise",
    DurationSeconds: 5,
    AspectRatio: "16:9",
    OutputResolution: kling.KlingTextToVideoOutputResolution("720p"),
  })
  if err != nil {
    log.Fatal(err)
  }
  _ = task
}

INSTALL gem install runapi-kling RubyGems

require "runapi/kling"

client = RunApi::Kling::Client.new(api_key: ENV.fetch("RUNAPI_API_KEY"))
task = client.text_to_video.create(
  model: "kling-v3-turbo-text-to-video",
  prompt: "A paper kite flying above a quiet coastal town at sunrise",
  duration_seconds: 5,
  aspect_ratio: "16:9",
  output_resolution: "720p"
)

INSTALL implementation("ai.runapi:runapi-kling") Maven

import ai.runapi.kling.KlingClient;
import ai.runapi.kling.types.TextToVideoParams;
import ai.runapi.core.polling.TaskCreateResponse;

public final class Example {
  public static void main(String[] args) {
    KlingClient client = KlingClient.builder()
        .apiKey(System.getenv("RUNAPI_API_KEY"))
        .build();
    TaskCreateResponse task = client.textToVideo().create(
        TextToVideoParams.builder()
        .model("kling-v3-turbo-text-to-video")
        .prompt("A paper kite flying above a quiet coastal town at sunrise")
        .durationSeconds(5)
        .aspectRatio("16:9")
        .outputResolution("720p")
            .build()
    );
  }
}

INSTALL composer require runapi-ai/kling Packagist

<?php

require __DIR__ . '/vendor/autoload.php';

use RunApi\Core\ClientOptions;
use RunApi\Kling\KlingClient;

$client = new KlingClient(new ClientOptions(apiKey: getenv('RUNAPI_API_KEY')));
$task = $client->textToVideo->create([
  "model" => "kling-v3-turbo-text-to-video",
  "prompt" => "A paper kite flying above a quiet coastal town at sunrise",
  "duration_seconds" => 5,
  "aspect_ratio" => "16:9",
  "output_resolution" => "720p"
]);

Model-specific SDKs share the same task object, auth, error handling, and pricing links.

HOW IT WORKS

How to call an AI model with a RunAPI SDK

import os
from runapi.kling import KlingClient

client = KlingClient(api_key=os.environ["RUNAPI_API_KEY"])
task = client.text_to_video.create(
  model="kling-v3-turbo-text-to-video",
  prompt="A paper kite flying above a quiet coastal town at sunrise",
  duration_seconds=5,
  aspect_ratio="16:9",
  output_resolution="720p"
)

import { KlingClient } from "@runapi.ai/kling";

const client = new KlingClient({ apiKey: process.env.RUNAPI_API_KEY });
const task = await client.textToVideo.create({
  "model": "kling-v3-turbo-text-to-video",
  "prompt": "A paper kite flying above a quiet coastal town at sunrise",
  "duration_seconds": 5,
  "aspect_ratio": "16:9",
  "output_resolution": "720p"
});

package main

import (
  "context"
  "log"
  "os"

  "github.com/runapi-ai/core-sdk/go/option"
  kling "github.com/runapi-ai/kling-sdk/go/kling"
)

func main() {
  client, err := kling.NewClient(option.WithAPIKey(os.Getenv("RUNAPI_API_KEY")))
  if err != nil {
    log.Fatal(err)
  }

  task, err := client.TextToVideo.Create(context.Background(), kling.TextToVideoParams{
    Model: kling.TextToVideoModel("kling-v3-turbo-text-to-video"),
    Prompt: "A paper kite flying above a quiet coastal town at sunrise",
    DurationSeconds: 5,
    AspectRatio: "16:9",
    OutputResolution: kling.KlingTextToVideoOutputResolution("720p"),
  })
  if err != nil {
    log.Fatal(err)
  }
  _ = task
}

Stworzony dla każdego stacku

Aplikacje webowe

Dodaj generowanie AI do aplikacji za pomocą kilku linii kodu. Helpery webhooków obsługują dostarczanie asynchroniczne.

Usługi backendowe

Przetwarzaj żądania generowania na dużą skalę. Wbudowane ponowienia i ograniczanie częstotliwości zwiększają niezawodność usługi.

Potoki danych

Generuj dane treningowe, rozszerzaj zbiory danych lub twórz syntetyczne media jako część potoku ML.

Why developers choose RunAPI SDKs

OpenAI-Compatible

Drop-in replacement. Change the base URL, keep your existing code.

Full Type Safety

TypeScript and Python types for every model, endpoint, and parameter.

Async & Streaming

Native async/await and SSE streaming in all supported languages.

RunAPI SDK questions

RunAPI publishes model-specific SDKs for Python, Node.js, PHP, Java, Ruby, and Go. Each package targets one model family, while the REST API remains available for Elixir, .NET, and any runtime that can send HTTPS requests.