Get available GenAI evaluation models

GET

/model_evaluation/genai_evaluation_models/

curl --request GET \
  --url 'https://api.e2enetworks.com/myaccount/api/v1/gpu/model_evaluation/genai_evaluation_models/?project_id=<PROJECT_ID>&location=<LOCATION>&apikey=<API_KEY>' \
  --header 'Authorization: Bearer <API_TOKEN>'

import requests

response = requests.get(
    "https://api.e2enetworks.com/myaccount/api/v1/gpu/model_evaluation/genai_evaluation_models/",
    params={"project_id": "<PROJECT_ID>", "location": "<LOCATION>", "apikey": "<API_KEY>"},
    headers={"Authorization": "Bearer <API_TOKEN>"},
)
print(response.json())

const url = new URL("https://api.e2enetworks.com/myaccount/api/v1/gpu/model_evaluation/genai_evaluation_models/");
url.search = new URLSearchParams({ project_id: "<PROJECT_ID>", location: "<LOCATION>", apikey: "<API_KEY>" });

const response = await fetch(url, {
  method: "GET",
  headers: { "Authorization": "Bearer <API_TOKEN>" },
});
console.log(await response.json());

Parameters

Query Parameters

project_id

required

integer

Project ID

active_iam

integer

Active IAM ID (To access contact person account) Find your Active IAM ID here

location

required

string

Allowed values: Delhi Chennai

Location

Responses

200

Successful response

application/json

object

code

integer

data

Array<object>

object

integer

model

object

integer

name

string

display_name

string

category

string

description

string

is_active

boolean

url_info

string

icon

string

total_runs_count

integer

is_internal

boolean

is_inventory_available

boolean

pricing

object

currency

string

cost_per_n_input_tokens

number

cost_per_n_output_tokens

number

n_value

integer

is_model_available_for_evaluation

boolean

errors

object

message

string

Example

{
  "code": 200,
  "data": [
    {
      "id": 1,
      "model": {
        "id": 25,
        "name": "llama3_2_3b_instruct",
        "display_name": "Llama 3.2 3B Instruct",
        "category": "txt2txt",
        "description": "This low-latency model is perfect for text summarization, classification, and language translation, ideal for mobile writing assistants and customer service apps.",
        "is_active": true,
        "url_info": "{}",
        "icon": "/framework/Llama-3.2-3B-Instruct.png",
        "total_runs_count": 0,
        "is_internal": false,
        "is_inventory_available": true
      },
      "pricing": {
        "currency": "INR",
        "cost_per_n_input_tokens": 54.6,
        "cost_per_n_output_tokens": 231,
        "n_value": 1000000
      },
      "is_model_available_for_evaluation": true
    }
  ],
  "errors": {},
  "message": "Success"
}