curl --request POST \
  --url https://api.opper.ai/v3/roundtable \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "input": "<string>",
  "models": [
    {
      "name": "<string>",
      "max_tokens": 123,
      "reasoning": "<string>",
      "temperature": 123,
      "top_p": 123
    }
  ]
}
'

import requests

url = "https://api.opper.ai/v3/roundtable"

payload = {
    "input": "<string>",
    "models": [
        {
            "name": "<string>",
            "max_tokens": 123,
            "reasoning": "<string>",
            "temperature": 123,
            "top_p": 123
        }
    ]
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    input: '<string>',
    models: [
      {
        name: '<string>',
        max_tokens: 123,
        reasoning: '<string>',
        temperature: 123,
        top_p: 123
      }
    ]
  })
};

fetch('https://api.opper.ai/v3/roundtable', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "data": "<string>",
  "id": "<string>",
  "meta": {
    "models_used": [
      "<string>"
    ],
    "resolution": "<string>",
    "total_cost": 123,
    "total_duration_ms": 123,
    "summary_model": "<string>",
    "summary_usage": {
      "input_tokens": 123,
      "output_tokens": 123,
      "cache_creation_1h_tokens": 123,
      "cache_creation_tokens": 123,
      "cache_read_tokens": 123,
      "code_interpreter_sessions": 123,
      "extra": {},
      "file_search_calls": 123,
      "google_search_prompts": 123,
      "google_search_queries": 123,
      "image_generation_calls": 123,
      "input_audio_seconds": 123,
      "input_audio_tokens": 123,
      "input_image_tokens": 123,
      "output_audio_tokens": 123,
      "output_image_tokens": 123,
      "provider_reported_cost": 123,
      "reasoning_tokens": 123,
      "service_tier": "<string>",
      "url_context_requests": 123,
      "web_fetch_requests": 123,
      "web_search_calls": 123,
      "web_search_requests": 123,
      "x_search_calls": 123
    },
    "trace_uuid": "<string>"
  },
  "model_results": [
    {
      "data": "<string>",
      "duration_ms": 123,
      "index": 123,
      "model": "<string>",
      "cost": 123,
      "error": "<string>",
      "schema_error": "<string>",
      "schema_valid": true,
      "usage": {
        "input_tokens": 123,
        "output_tokens": 123,
        "cache_creation_1h_tokens": 123,
        "cache_creation_tokens": 123,
        "cache_read_tokens": 123,
        "code_interpreter_sessions": 123,
        "extra": {},
        "file_search_calls": 123,
        "google_search_prompts": 123,
        "google_search_queries": 123,
        "image_generation_calls": 123,
        "input_audio_seconds": 123,
        "input_audio_tokens": 123,
        "input_image_tokens": 123,
        "output_audio_tokens": 123,
        "output_image_tokens": 123,
        "provider_reported_cost": 123,
        "reasoning_tokens": 123,
        "service_tier": "<string>",
        "url_context_requests": 123,
        "web_fetch_requests": 123,
        "web_search_calls": 123,
        "web_search_requests": 123,
        "x_search_calls": 123
      }
    }
  ]
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "details": "<unknown>"
  },
  "meta": {}
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "details": "<unknown>"
  },
  "meta": {}
}