Create a chat completion

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://lyber-paid-acceptance-gateway-production.up.railway.app/v1",
    api_key=os.environ["LYBER_API_KEY"],
)

response = client.chat.completions.create(
    model="minimax-m3.1-flash-abliterated",
    messages=[{"role": "user", "content": "Explain abliteration in two sentences."}],
    max_tokens=1024,
)
print(response.model)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://lyber-paid-acceptance-gateway-production.up.railway.app/v1",
  apiKey: process.env.LYBER_API_KEY,
});

const response = await client.chat.completions.create({
  model: "minimax-m3.1-flash-abliterated",
  messages: [{ role: "user", content: "Explain abliteration in two sentences." }],
  max_tokens: 1024,
});
console.log(response.model);
console.log(response.choices[0].message.content);

curl https://lyber-paid-acceptance-gateway-production.up.railway.app/v1/chat/completions \
  -H "Authorization: Bearer $LYBER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m3.1-flash-abliterated",
    "messages": [{"role": "user", "content": "Explain abliteration in two sentences."}],
    "max_tokens": 1024
  }'

{
  "id": "chatcmpl-6f1c…",
  "object": "chat.completion",
  "created": 1793491200,
  "model": "minimax-m3.1-flash-abliterated",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "Abliteration removes the direction in a model's activations…",
      "reasoning_content": "The user wants two sentences…"
    },
    "finish_reason": "stop"
  }],
  "usage": {"prompt_tokens": 18, "completion_tokens": 96, "total_tokens": 114}
}