from anthropic import Anthropic
import os

# 💥 Create an Anthropic client, pointed at Muna
anthropic = Anthropic(
  api_key=os.environ["MUNA_API_KEY"],
  base_url="https://inference.muna.ai"
)

# 🔥 Create a message
message = anthropic.messages.create(
  model="@qwen/qwen-3.8-27b",
  max_tokens=1024,
  messages=[{ "role": "user", "content": "What is the capital of France?" }]
)

# 🚀 Print the result
print(message.content[0].text)

import Anthropic from "@anthropic-ai/sdk"

// 💥 Create an Anthropic client, pointed at Muna
const anthropic = new Anthropic({
  apiKey: process.env.MUNA_API_KEY,
  baseURL: "https://inference.muna.ai"
});

// 🔥 Create a message
const message = await anthropic.messages.create({
  model: "@qwen/qwen-3.8-27b",
  max_tokens: 1024,
  messages: [{ role: "user", content: "What is the capital of France?" }]
});

// 🚀 Print the result
console.log(message.content[0].text);

# 🔥 Stream a message
with anthropic.messages.stream(
  model="@qwen/qwen-3.8-27b",
  max_tokens=1024,
  messages=[{ "role": "user", "content": "What is life?" }]
) as stream:
  # 🚀 Use text deltas
  for text in stream.text_stream:
    ...

curl https://inference.muna.ai/v1/messages \
  -H "x-api-key: $MUNA_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "@qwen/qwen-3.8-27b",
    "max_tokens": 1024,
    "messages": [{ "role": "user", "content": "What is the capital of France?" }]
  }'

{
  "id": "msg_6f1c2b9e4d3a4b8e9c1f2a7d",
  "type": "message",
  "role": "assistant",
  "model": "@qwen/qwen-3.8-27b",
  "content": [
    { "type": "text", "text": "The capital of France is Paris." }
  ],
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": {
    "input_tokens": 16,
    "output_tokens": 8,
    "cache_read_input_tokens": 0
  }
}