pip install openai

from openai import OpenAI

client = OpenAI(
    base_url="https://viprouter.com/v1",
    api_key="your-api-key"
)

# Chat completion
response = client.chat.completions.create(
    model="openai/gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

# Streaming
stream = client.chat.completions.create(
    model="openai/gpt-4o-mini",
    messages=[{"role": "user", "content": "Count to 10"}],
    stream=True
)
for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

npm install openai

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://viprouter.com/v1",
  apiKey: "your-api-key",
});

// Chat completion
const response = await client.chat.completions.create({
  model: "openai/gpt-4o-mini",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

// Streaming
const stream = await client.chat.completions.create({
  model: "openai/gpt-4o-mini",
  messages: [{ role: "user", content: "Count to 10" }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || "");
}

# OpenAI
response = client.chat.completions.create(
    model="openai/gpt-4o",
    messages=[...]
)

# Anthropic
response = client.chat.completions.create(
    model="anthropic/claude-sonnet-4-20250514",
    messages=[...]
)

# Google
response = client.chat.completions.create(
    model="gemini-2.5-pro",
    messages=[...]
)

export OPENAI_BASE_URL=https://viprouter.com/v1
export OPENAI_API_KEY=your-api-key