import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AURIKO_API_KEY"],
    base_url="https://api.auriko.ai/v1"
)
response = client.responses.create(
    model="gpt-4o",
    input="Hello!"
)
print(response.output_text)

{
  "id": "<string>",
  "object": "<unknown>",
  "created_at": 123,
  "model": "<string>",
  "output": [
    {
      "type": "<unknown>",
      "id": "<string>",
      "role": "<unknown>",
      "content": [
        {
          "type": "<unknown>",
          "text": "<string>",
          "annotations": [
            "<unknown>"
          ],
          "logprobs": [
            "<unknown>"
          ]
        }
      ]
    }
  ],
  "output_text": "<string>",
  "parallel_tool_calls": true,
  "tool_choice": "<unknown>",
  "tools": [
    "<unknown>"
  ],
  "usage": {
    "input_tokens": 123,
    "output_tokens": 123,
    "total_tokens": 123,
    "input_tokens_details": {
      "cached_tokens": 123
    },
    "output_tokens_details": {
      "reasoning_tokens": 123
    }
  },
  "error": {
    "code": "<string>",
    "message": "<string>"
  },
  "incomplete_details": {
    "reason": "<string>"
  },
  "metadata": {},
  "routing_metadata": {
    "provider": "<string>",
    "provider_model_id": "<string>",
    "model_canonical": "<string>",
    "routing_strategy": "<string>",
    "ttft_ms": 123,
    "throughput_tps": 123,
    "cost": {
      "usd": 123,
      "cache_savings_percent": 123,
      "cache_savings_usd": 123
    },
    "warnings": [
      {
        "code": "<string>",
        "message": "<string>"
      }
    ]
  }
}