curl --request GET \
  --url https://api.threetone.in/v1/convai/llm/list

import requests

url = "https://api.threetone.in/v1/convai/llm/list"

response = requests.get(url)

print(response.text)

const options = {method: 'GET'};

fetch('https://api.threetone.in/v1/convai/llm/list', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "llms": [
    {
      "available_reasoning_efforts": [
        "low",
        "medium",
        "high"
      ],
      "description": "Fast multimodal model for conversational agents.",
      "display_name": "Gemini 3.8 Flash",
      "is_checkpoint": false,
      "llm": "google/gemini-3.8-flash",
      "max_context_limit": 1048576,
      "max_tokens_limit": 65536,
      "provider_key": "google",
      "provider_name": "Google",
      "reasoning_effort_default": "medium",
      "supports_document_input": true,
      "supports_image_input": true,
      "supports_parallel_tool_calls": true,
      "supports_reasoning_summary": false,
      "supports_tool_calls": true,
      "temperature_max": 1,
      "temperature_min": 0
    }
  ]
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

{
  "detail": {
    "status": "<string>",
    "message": "<string>",
    "request_id": "<string>"
  }
}