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Every snippet works with any model — just swap the model value. See the Models Catalog for all available options.

​
cURL

curl https://api.lightweight.one/v1/chat/completions \
  -H "Authorization: Bearer lw_sk_your-key-here" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4",
    "messages": [{"role": "user", "content": "Hello, how are you?"}],
    "max_tokens": 200
  }'

​
Python

pip install openai

from openai import OpenAI

client = OpenAI(
    api_key="lw_sk_your-key-here",
    base_url="https://api.lightweight.one/v1"
)

response = client.chat.completions.create(
    model="gpt-5.4",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is the capital of France?"}
    ]
)

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

​
Node.js / TypeScript

npm install openai

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "lw_sk_your-key-here",
  baseURL: "https://api.lightweight.one/v1",
});

async function main() {
  const response = await client.chat.completions.create({
    model: "gpt-5.4",
    messages: [
      { role: "system", content: "You are a helpful assistant." },
      { role: "user", content: "What is the capital of France?" },
    ],
  });

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

main();

​
Streaming (Python)

from openai import OpenAI

client = OpenAI(
    api_key="lw_sk_your-key-here",
    base_url="https://api.lightweight.one/v1"
)

stream = client.chat.completions.create(
    model="claude-sonnet-4.5",
    messages=[{"role": "user", "content": "Write a haiku about coding"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

​
Streaming (Node.js)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "lw_sk_your-key-here",
  baseURL: "https://api.lightweight.one/v1",
});

const stream = await client.chat.completions.create({
  model: "claude-sonnet-4.5",
  messages: [{ role: "user", content: "Write a haiku about coding" }],
  stream: true,
});

for await (const chunk of stream) {
  const content = chunk.choices[0]?.delta?.content;
  if (content) process.stdout.write(content);
}

​
Using Different Models

Swap the model parameter to use any provider: 
# OpenAI
response = client.chat.completions.create(model="gpt-5.4", messages=messages)

# Anthropic
response = client.chat.completions.create(model="claude-sonnet-4.5", messages=messages)

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

# xAI
response = client.chat.completions.create(model="grok-code-fast-1", messages=messages)
See the full Models Catalog and Pricing for all options.