curl -X POST https://api-llm.sunra.ai/v1/responses \
  -H "Authorization: Bearer <SUNRA_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-4o",
    "input": [
      {
        "type": "message",
        "role": "user",
        "content": "Hello, how are you?"
      }
    ]
  }'

import requests

response = requests.post(
    "https://api-llm.sunra.ai/v1/responses",
    headers={
        "Authorization": "Bearer <SUNRA_KEY>",
        "Content-Type": "application/json"
    },
    json={
        "model": "openai/gpt-4o",
        "input": [
            {
                "type": "message",
                "role": "user",
                "content": "Hello, how are you?"
            }
        ]
    }
)
print(response.json())

const response = await fetch("https://api-llm.sunra.ai/v1/responses", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <SUNRA_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "openai/gpt-4o",
    input: [
      {
        type: "message",
        role: "user",
        content: "Hello, how are you?"
      }
    ]
  })
});
const data = await response.json();
console.log(data);

{
  "id": "resp-abc123",
  "object": "response",
  "created_at": 1704067200,
  "status": "completed",
  "model": "openai/gpt-4o",
  "output": [
    {
      "type": "message",
      "id": "msg_abc123",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "Hello! I'm doing well, thank you for asking. How can I help you today?",
          "annotations": []
        }
      ]
    }
  ],
  "temperature": 1.0,
  "top_p": 1.0,
  "max_output_tokens": null,
  "usage": {
    "input_tokens": 15,
    "output_tokens": 18,
    "total_tokens": 33,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens_details": {
      "reasoning_tokens": 0
    }
  },
  "error": null
}