curl --request PUT \
  --url https://api.primeintellect.ai/api/v1/evaluations/{evaluation_id} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "description": "<string>",
  "tags": [
    "<string>"
  ],
  "metadata": {},
  "metrics": {},
  "model_name": "<string>",
  "dataset": "<string>",
  "framework": "<string>",
  "task_type": "<string>",
  "inference_model": "<string>",
  "eval_config": {
    "num_examples": 4503599627370495,
    "rollouts_per_example": 1024,
    "env_args": {},
    "allow_sandbox_access": true,
    "allow_instances_access": false,
    "allow_tunnel_access": true,
    "timeout_minutes": 123,
    "custom_secrets": {},
    "sampling_args": {},
    "max_concurrent": 4503599627370496,
    "auto_max_concurrent": false,
    "max_retries": 4503599627370495,
    "state_columns": [
      "<string>"
    ],
    "independent_scoring": false,
    "verbose": false,
    "headers": [
      "<string>"
    ],
    "extra_env_kwargs": {},
    "api_client_type": "<string>",
    "api_base_url": "<string>",
    "api_key_var": "<string>"
  },
  "is_public": true,
  "show_on_leaderboard": true
}
'

import requests

url = "https://api.primeintellect.ai/api/v1/evaluations/{evaluation_id}"

payload = {
    "name": "<string>",
    "description": "<string>",
    "tags": ["<string>"],
    "metadata": {},
    "metrics": {},
    "model_name": "<string>",
    "dataset": "<string>",
    "framework": "<string>",
    "task_type": "<string>",
    "inference_model": "<string>",
    "eval_config": {
        "num_examples": 4503599627370495,
        "rollouts_per_example": 1024,
        "env_args": {},
        "allow_sandbox_access": True,
        "allow_instances_access": False,
        "allow_tunnel_access": True,
        "timeout_minutes": 123,
        "custom_secrets": {},
        "sampling_args": {},
        "max_concurrent": 4503599627370496,
        "auto_max_concurrent": False,
        "max_retries": 4503599627370495,
        "state_columns": ["<string>"],
        "independent_scoring": False,
        "verbose": False,
        "headers": ["<string>"],
        "extra_env_kwargs": {},
        "api_client_type": "<string>",
        "api_base_url": "<string>",
        "api_key_var": "<string>"
    },
    "is_public": True,
    "show_on_leaderboard": True
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PUT',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    description: '<string>',
    tags: ['<string>'],
    metadata: {},
    metrics: {},
    model_name: '<string>',
    dataset: '<string>',
    framework: '<string>',
    task_type: '<string>',
    inference_model: '<string>',
    eval_config: {
      num_examples: 4503599627370495,
      rollouts_per_example: 1024,
      env_args: {},
      allow_sandbox_access: true,
      allow_instances_access: false,
      allow_tunnel_access: true,
      timeout_minutes: 123,
      custom_secrets: {},
      sampling_args: {},
      max_concurrent: 4503599627370496,
      auto_max_concurrent: false,
      max_retries: 4503599627370495,
      state_columns: ['<string>'],
      independent_scoring: false,
      verbose: false,
      headers: ['<string>'],
      extra_env_kwargs: {},
      api_client_type: '<string>',
      api_base_url: '<string>',
      api_key_var: '<string>'
    },
    is_public: true,
    show_on_leaderboard: true
  })
};

fetch('https://api.primeintellect.ai/api/v1/evaluations/{evaluation_id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.primeintellect.ai/api/v1/evaluations/{evaluation_id}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PUT",
  CURLOPT_POSTFIELDS => json_encode([
    'name' => '<string>',
    'description' => '<string>',
    'tags' => [
        '<string>'
    ],
    'metadata' => [
        
    ],
    'metrics' => [
        
    ],
    'model_name' => '<string>',
    'dataset' => '<string>',
    'framework' => '<string>',
    'task_type' => '<string>',
    'inference_model' => '<string>',
    'eval_config' => [
        'num_examples' => 4503599627370495,
        'rollouts_per_example' => 1024,
        'env_args' => [
                
        ],
        'allow_sandbox_access' => true,
        'allow_instances_access' => false,
        'allow_tunnel_access' => true,
        'timeout_minutes' => 123,
        'custom_secrets' => [
                
        ],
        'sampling_args' => [
                
        ],
        'max_concurrent' => 4503599627370496,
        'auto_max_concurrent' => false,
        'max_retries' => 4503599627370495,
        'state_columns' => [
                '<string>'
        ],
        'independent_scoring' => false,
        'verbose' => false,
        'headers' => [
                '<string>'
        ],
        'extra_env_kwargs' => [
                
        ],
        'api_client_type' => '<string>',
        'api_base_url' => '<string>',
        'api_key_var' => '<string>'
    ],
    'is_public' => true,
    'show_on_leaderboard' => true
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.primeintellect.ai/api/v1/evaluations/{evaluation_id}"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"metadata\": {},\n  \"metrics\": {},\n  \"model_name\": \"<string>\",\n  \"dataset\": \"<string>\",\n  \"framework\": \"<string>\",\n  \"task_type\": \"<string>\",\n  \"inference_model\": \"<string>\",\n  \"eval_config\": {\n    \"num_examples\": 4503599627370495,\n    \"rollouts_per_example\": 1024,\n    \"env_args\": {},\n    \"allow_sandbox_access\": true,\n    \"allow_instances_access\": false,\n    \"allow_tunnel_access\": true,\n    \"timeout_minutes\": 123,\n    \"custom_secrets\": {},\n    \"sampling_args\": {},\n    \"max_concurrent\": 4503599627370496,\n    \"auto_max_concurrent\": false,\n    \"max_retries\": 4503599627370495,\n    \"state_columns\": [\n      \"<string>\"\n    ],\n    \"independent_scoring\": false,\n    \"verbose\": false,\n    \"headers\": [\n      \"<string>\"\n    ],\n    \"extra_env_kwargs\": {},\n    \"api_client_type\": \"<string>\",\n    \"api_base_url\": \"<string>\",\n    \"api_key_var\": \"<string>\"\n  },\n  \"is_public\": true,\n  \"show_on_leaderboard\": true\n}")

	req, _ := http.NewRequest("PUT", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.put("https://api.primeintellect.ai/api/v1/evaluations/{evaluation_id}")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"metadata\": {},\n  \"metrics\": {},\n  \"model_name\": \"<string>\",\n  \"dataset\": \"<string>\",\n  \"framework\": \"<string>\",\n  \"task_type\": \"<string>\",\n  \"inference_model\": \"<string>\",\n  \"eval_config\": {\n    \"num_examples\": 4503599627370495,\n    \"rollouts_per_example\": 1024,\n    \"env_args\": {},\n    \"allow_sandbox_access\": true,\n    \"allow_instances_access\": false,\n    \"allow_tunnel_access\": true,\n    \"timeout_minutes\": 123,\n    \"custom_secrets\": {},\n    \"sampling_args\": {},\n    \"max_concurrent\": 4503599627370496,\n    \"auto_max_concurrent\": false,\n    \"max_retries\": 4503599627370495,\n    \"state_columns\": [\n      \"<string>\"\n    ],\n    \"independent_scoring\": false,\n    \"verbose\": false,\n    \"headers\": [\n      \"<string>\"\n    ],\n    \"extra_env_kwargs\": {},\n    \"api_client_type\": \"<string>\",\n    \"api_base_url\": \"<string>\",\n    \"api_key_var\": \"<string>\"\n  },\n  \"is_public\": true,\n  \"show_on_leaderboard\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.primeintellect.ai/api/v1/evaluations/{evaluation_id}")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Put.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"tags\": [\n    \"<string>\"\n  ],\n  \"metadata\": {},\n  \"metrics\": {},\n  \"model_name\": \"<string>\",\n  \"dataset\": \"<string>\",\n  \"framework\": \"<string>\",\n  \"task_type\": \"<string>\",\n  \"inference_model\": \"<string>\",\n  \"eval_config\": {\n    \"num_examples\": 4503599627370495,\n    \"rollouts_per_example\": 1024,\n    \"env_args\": {},\n    \"allow_sandbox_access\": true,\n    \"allow_instances_access\": false,\n    \"allow_tunnel_access\": true,\n    \"timeout_minutes\": 123,\n    \"custom_secrets\": {},\n    \"sampling_args\": {},\n    \"max_concurrent\": 4503599627370496,\n    \"auto_max_concurrent\": false,\n    \"max_retries\": 4503599627370495,\n    \"state_columns\": [\n      \"<string>\"\n    ],\n    \"independent_scoring\": false,\n    \"verbose\": false,\n    \"headers\": [\n      \"<string>\"\n    ],\n    \"extra_env_kwargs\": {},\n    \"api_client_type\": \"<string>\",\n    \"api_base_url\": \"<string>\",\n    \"api_key_var\": \"<string>\"\n  },\n  \"is_public\": true,\n  \"show_on_leaderboard\": true\n}"

response = http.request(request)
puts response.read_body

{
  "evaluation_id": "<string>",
  "name": "<string>",
  "updated_at": "2023-11-07T05:31:56Z"
}

{
  "errors": [
    {
      "param": "<string>",
      "details": "<string>"
    }
  ]
}