Vercel AI SDK integration

Use TackleKey with Vercel AI SDK's OpenAI-compatible provider

For Vercel AI SDK applications, use the OpenAI-compatible provider package so your app can keep a familiar model interface while TackleKey handles model naming, project keys, request logs, and live pricing.

Create account Read docs

Minimal configuration example

import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
import { generateText } from "ai";

const tacklekey = createOpenAICompatible({
  name: "tacklekey",
  apiKey: process.env.TACKLEKEY_API_KEY,
  baseURL: "https://api.tacklekey.com/v1",
});

const result = await generateText({
  model: tacklekey("openai/gpt-4o-mini"),
  prompt: "Return one health-check sentence.",
});

console.log(result.text);

Configuration checklist

Item	How to verify
Provider package	Use @ai-sdk/openai-compatible for OpenAI-compatible providers.
Server environment	Store the project key in server-side environment variables.
Model function	Use a TackleKey model name that exists on the live pricing page.
Small first request	Validate one low-token prompt before streaming or batch usage.
Cost review	Check request logs and balance records after the first run.

Next steps

Live pricing

Check input, output, and capability pricing before larger usage.

Examples hub

Copy cURL, Node.js, Python, or client configuration examples.

Troubleshooting

Debug 401, 429, invalid model, base URL, and billing issues.

Try TackleKey with one OpenAI-compatible change

Create an account, generate a project API key, then replace your client base URL with the TackleKey endpoint. Keep keys server-side and verify live pricing before scaling traffic.

Create account Run first request