Text & Chat

Text & Chat

Two formats are supported for text conversations. Pick the one that fits your tool.

Anthropic — POST /v1/messages

curl https://api.nexotao.com/v1/messages \
  -H "x-api-key: sk-nexo-..." \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "max_tokens": 512,
    "messages": [{"role": "user", "content": "Explain what QRIS is"}]
  }'

OpenAI — POST /v1/chat/completions

from openai import OpenAI
 
client = OpenAI(base_url="https://api.nexotao.com/v1", api_key="sk-nexo-...")
 
resp = client.chat.completions.create(
    model="gpt-5-mini",
    messages=[{"role": "user", "content": "Explain what QRIS is"}],
)
print(resp.choices[0].message.content)
import OpenAI from "openai"
 
const client = new OpenAI({ baseURL: "https://api.nexotao.com/v1", apiKey: "sk-nexo-..." })
 
const resp = await client.chat.completions.create({
  model: "gpt-5-mini",
  messages: [{ role: "user", content: "Explain what QRIS is" }],
})
console.log(resp.choices[0].message.content)

Streaming (SSE)

Set stream: true to receive the answer token by token over Server-Sent Events.

stream = client.chat.completions.create(
    model="gpt-5-mini",
    messages=[{"role": "user", "content": "Write a short poem"}],
    stream=True,
)
for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

Vision

Models that support vision can accept images in a message (see the vision marker in Models & Pricing). Cost is still computed per token.

Text usage is billed per token; see Billing & Pricing.

Billing & PricingImage Generation