Migrate OpenAI to the EU Router

• A HostYourAI account with some credit
• An API key in the hyai-... format, created under Router in your dashboard
• Your existing OpenAI or Anthropic SDK, no new library to install

In your dashboard, go to Router and create a new key. Copy the hyai- key right away; you only see it once. This key replaces your OpenAI key.

Set the base URL to https://hostyourai.com/api/v1 and use your HostYourAI key. In Python with the OpenAI SDK, the rest of your code is unchanged:

from openai import OpenAI

client = OpenAI(
    base_url="https://hostyourai.com/api/v1",
    api_key="hyai-...",   # your HostYourAI key
)

resp = client.chat.completions.create(
    model="llama-3.3-70b",
    messages=[{"role": "user", "content": "Summarise this contract."}],
)
print(resp.choices[0].message.content)

In Node.js with the same SDK:

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://hostyourai.com/api/v1",
  apiKey: process.env.HOSTYOURAI_API_KEY,
});

const resp = await client.chat.completions.create({
  model: "llama-3.3-70b",
  messages: [{ role: "user", content: "Summarise this contract." }],
});
console.log(resp.choices[0].message.content);

Or straight from curl to test quickly:

curl https://hostyourai.com/api/v1/chat/completions \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"llama-3.3-70b","messages":[{"role":"user","content":"Hello"}]}'

Where you would use gpt-4o on OpenAI, pick an open model from the Model Garden here, for example a Llama, Qwen, Mistral or DeepSeek variant. Use the model slug exactly as it appears in the Model Garden as the value for model. Streaming works identically: set stream=True and you get server-sent events back.

That works too. The Router exposes a /v1/messages shim. Set the base URL to https://hostyourai.com and pass your hyai- key as x-api-key:

from anthropic import Anthropic

client = Anthropic(
    base_url="https://hostyourai.com",
    api_key="hyai-...",
)

msg = client.messages.create(
    model="llama-3.3-70b",
    max_tokens=512,
    messages=[{"role": "user", "content": "Hello"}],
)
print(msg.content[0].text)

Test your first request in the Playground or from your code and track usage, tokens and latency per request in your activity log. Two things to watch when migrating: model names differ (use open-model slugs, not gpt-*), and you pay per token instead of via an OpenAI subscription.

The shared Router is ideal to start with. If you want isolation or guaranteed capacity, promote a model to a dedicated instance on your own EU GPU. Your code stays identical, only the model slug or endpoint changes.

This table puts the settings side by side. For more background on the gateway itself, see the EU Inference Router page.