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What is VeloKey?

VeloKey is a unified AI API platform for developers building with multiple AI models. Instead of managing separate provider accounts, SDKs, billing flows, and fallback logic, teams can access leading models through one OpenAI-compatible endpoint.

VeloKey is designed for developers, AI startups, automation builders, and SaaS teams that need model choice without rebuilding their application stack every time they add or switch providers.

Why developers use VeloKey

• One API for multiple models: use a familiar OpenAI-compatible interface for text, image, and video model workflows.
• Lower integration overhead: test and switch models without maintaining separate provider integrations.
• Transparent usage: track model usage, billing records, and request behavior in one place.
• Reliable access patterns: use route management and failover capabilities for production AI workloads.
• Pay as you go: start with usage-based pricing instead of long procurement or setup cycles.

Quick start

Use VeloKey with the official OpenAI SDK by changing the baseURL.

export VELOKEY_API_KEY="your_velokey_api_key"

from openai import OpenAI

client = OpenAI(
    api_key="your_velokey_api_key",
    base_url="https://api.velokey.ai/v1",
)

response = client.chat.completions.create(
    model="your-model-name",
    messages=[
        {"role": "user", "content": "Write a concise product tagline for an AI API platform."}
    ],
)

print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.VELOKEY_API_KEY,
  baseURL: "https://api.velokey.ai/v1",
});

const response = await client.chat.completions.create({
  model: "your-model-name",
  messages: [
    {
      role: "user",
      content: "Write a concise product tagline for an AI API platform.",
    },
  ],
});

console.log(response.choices[0].message.content);

See the full documentation at docs.velokey.ai/api/introduction.

Common use cases

Resources

• Website
• API documentation
• Model catalog
• Pricing
• Get API key

For Hugging Face users

We are building VeloKey examples and Spaces for developers who want to test AI model API workflows quickly. Good starting points include:

• OpenAI-compatible API examples
• Model comparison demos
• Image and video generation playgrounds
• Fallback and routing workflow templates
• Cost comparison utilities for model-heavy applications

If you are building an AI app and want a simpler way to access multiple models, start with the docs or explore the model catalog.