curl -N https://api.orcarouter.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-orca-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-4o-mini",
    "messages": [{"role":"user","content":"Tell me a haiku."}],
    "stream": true
  }'

from openai import OpenAI

client = OpenAI(base_url="https://api.orcarouter.ai/v1", api_key="sk-orca-...")

stream = client.chat.completions.create(
    model="openai/gpt-4o-mini",
    messages=[{"role": "user", "content": "Tell me a haiku."}],
    stream=True,
)
for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.orcarouter.ai/v1",
  apiKey: "sk-orca-...",
});

const stream = await openai.chat.completions.create({
  model: "openai/gpt-4o-mini",
  messages: [{ role: "user", content: "Tell me a haiku." }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

curl -N https://api.orcarouter.ai/v1/messages \
  -H "Authorization: Bearer sk-orca-..." \
  -H "Content-Type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "anthropic/claude-sonnet-4.6",
    "max_tokens": 256,
    "messages": [{"role":"user","content":"Tell me a haiku."}],
    "stream": true
  }'

from anthropic import Anthropic

client = Anthropic(base_url="https://api.orcarouter.ai", api_key="sk-orca-...")

with client.messages.stream(
    model="anthropic/claude-sonnet-4.6",
    max_tokens=256,
    messages=[{"role": "user", "content": "Tell me a haiku."}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)