1import os
2from openai import OpenAI
3
4client = OpenAI(
5    base_url="https://kiterouter.com/api/v1",
6    api_key=os.environ["KITEROUTER_API_KEY"],
7)
8
9response = client.chat.completions.create(
10    model="gpt-4o-mini",
11    messages=[
12        {"role": "system", "content": "You are a helpful assistant."},
13        {"role": "user", "content": "Explain routing in one sentence."},
14    ],
15)
16
17print(response.choices[0].message.content)

1import os
2import anthropic
3
4client = anthropic.Anthropic(
5    base_url="https://kiterouter.com/api/v1",
6    api_key=os.environ["KITEROUTER_API_KEY"],
7)
8
9message = client.messages.create(
10    model="claude-sonnet-4-5",
11    max_tokens=1024,
12    messages=[
13        {"role": "user", "content": "Explain routing in one sentence."},
14    ],
15)
16
17print(message.content[0].text)

1import os
2from google import genai
3
4client = genai.Client(
5    api_key=os.environ["KITEROUTER_API_KEY"],
6    http_options={"api_version": "v1", "url": "https://kiterouter.com/api/v1"},
7)
8
9response = client.models.generate_content(
10    model="gemini-2.5-flash",
11    contents="Explain routing in one sentence.",
12)
13
14print(response.text)

1const response = await fetch('https://kiterouter.com/api/v1/chat/completions', {
2  method: 'POST',
3  headers: {
4    Authorization: `Bearer ${process.env.KITEROUTER_API_KEY}`,
5    'Content-Type': 'application/json',
6  },
7  body: JSON.stringify({
8    model: 'gpt-4o-mini',
9    messages: [{ role: 'user', content: 'Hello from fetch.' }],
10  }),
11})
12
13if (!response.ok) {
14  throw new Error(await response.text())
15}
16
17const data = await response.json()
18console.log(data.choices[0].message.content)