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from openai import OpenAI
import os

# Before — official OpenAI endpoint
# client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

# After — BelugAPI  (–70% cost, zero refactor)
client = OpenAI(
    api_key=os.environ["BELUG_API_KEY"],
    base_url="https://api.belugapi.com/v1",
)

response = client.chat.completions.create(
    model="gpt-5.4",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True,
)
for chunk in response:
    print(chunk.choices[0].delta.content or "", end="", flush=True)

import OpenAI from "openai";

// Before — official OpenAI endpoint
// const client = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

// After — BelugAPI  (–70% cost, zero refactor)
const client = new OpenAI({
    apiKey:  process.env.BELUG_API_KEY,
    baseURL: "https://api.belugapi.com/v1",
});

const stream = await client.chat.completions.stream({
    model:    "gpt-5.4",
    messages: [{ role: "user", content: "Hello!" }],
});
for await (const chunk of stream) {
    process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

curl https://api.belugapi.com/v1/chat/completions \
  -H "Authorization: Bearer $BELUG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4",
    "stream": true,
    "messages": [
      { "role": "system",  "content": "You are a helpful assistant." },
      { "role": "user",    "content": "Hello!" }
    ]
  }'