curl --request POST \
  --url https://api.honeyhive.ai/v1/metrics/run_metric \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "metric": {
    "name": "<string>",
    "criteria": "<string>",
    "description": "",
    "return_type": "float",
    "enabled_in_prod": false,
    "needs_ground_truth": false,
    "sampling_percentage": 10,
    "model_provider": "<string>",
    "model_name": "<string>",
    "scale": 123,
    "threshold": {
      "min": 123,
      "max": 123,
      "pass_when": true,
      "passing_categories": [
        "<string>"
      ]
    },
    "categories": [
      {
        "category": "<string>",
        "score": 123
      }
    ],
    "child_metrics": [
      {
        "name": "<string>",
        "weight": 123,
        "id": "<string>",
        "scale": 123
      }
    ],
    "filters": {
      "filterArray": []
    }
  },
  "event": {
    "event_type": "<string>",
    "event_name": "<string>",
    "inputs": {},
    "outputs": {},
    "workspace_id": "<string>",
    "feedback": {
      "ground_truth": "<unknown>"
    }
  }
}
'

import requests

url = "https://api.honeyhive.ai/v1/metrics/run_metric"

payload = {
    "metric": {
        "name": "<string>",
        "criteria": "<string>",
        "description": "",
        "return_type": "float",
        "enabled_in_prod": False,
        "needs_ground_truth": False,
        "sampling_percentage": 10,
        "model_provider": "<string>",
        "model_name": "<string>",
        "scale": 123,
        "threshold": {
            "min": 123,
            "max": 123,
            "pass_when": True,
            "passing_categories": ["<string>"]
        },
        "categories": [
            {
                "category": "<string>",
                "score": 123
            }
        ],
        "child_metrics": [
            {
                "name": "<string>",
                "weight": 123,
                "id": "<string>",
                "scale": 123
            }
        ],
        "filters": { "filterArray": [] }
    },
    "event": {
        "event_type": "<string>",
        "event_name": "<string>",
        "inputs": {},
        "outputs": {},
        "workspace_id": "<string>",
        "feedback": { "ground_truth": "<unknown>" }
    }
}
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({
    metric: {
      name: '<string>',
      criteria: '<string>',
      description: '',
      return_type: 'float',
      enabled_in_prod: false,
      needs_ground_truth: false,
      sampling_percentage: 10,
      model_provider: '<string>',
      model_name: '<string>',
      scale: 123,
      threshold: {min: 123, max: 123, pass_when: true, passing_categories: ['<string>']},
      categories: [{category: '<string>', score: 123}],
      child_metrics: [{name: '<string>', weight: 123, id: '<string>', scale: 123}],
      filters: {filterArray: []}
    },
    event: {
      event_type: '<string>',
      event_name: '<string>',
      inputs: {},
      outputs: {},
      workspace_id: '<string>',
      feedback: {ground_truth: '<unknown>'}
    }
  })
};

fetch('https://api.honeyhive.ai/v1/metrics/run_metric', 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.honeyhive.ai/v1/metrics/run_metric",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'metric' => [
        'name' => '<string>',
        'criteria' => '<string>',
        'description' => '',
        'return_type' => 'float',
        'enabled_in_prod' => false,
        'needs_ground_truth' => false,
        'sampling_percentage' => 10,
        'model_provider' => '<string>',
        'model_name' => '<string>',
        'scale' => 123,
        'threshold' => [
                'min' => 123,
                'max' => 123,
                'pass_when' => true,
                'passing_categories' => [
                                '<string>'
                ]
        ],
        'categories' => [
                [
                                'category' => '<string>',
                                'score' => 123
                ]
        ],
        'child_metrics' => [
                [
                                'name' => '<string>',
                                'weight' => 123,
                                'id' => '<string>',
                                'scale' => 123
                ]
        ],
        'filters' => [
                'filterArray' => [
                                
                ]
        ]
    ],
    'event' => [
        'event_type' => '<string>',
        'event_name' => '<string>',
        'inputs' => [
                
        ],
        'outputs' => [
                
        ],
        'workspace_id' => '<string>',
        'feedback' => [
                'ground_truth' => '<unknown>'
        ]
    ]
  ]),
  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.honeyhive.ai/v1/metrics/run_metric"

	payload := strings.NewReader("{\n  \"metric\": {\n    \"name\": \"<string>\",\n    \"criteria\": \"<string>\",\n    \"description\": \"\",\n    \"return_type\": \"float\",\n    \"enabled_in_prod\": false,\n    \"needs_ground_truth\": false,\n    \"sampling_percentage\": 10,\n    \"model_provider\": \"<string>\",\n    \"model_name\": \"<string>\",\n    \"scale\": 123,\n    \"threshold\": {\n      \"min\": 123,\n      \"max\": 123,\n      \"pass_when\": true,\n      \"passing_categories\": [\n        \"<string>\"\n      ]\n    },\n    \"categories\": [\n      {\n        \"category\": \"<string>\",\n        \"score\": 123\n      }\n    ],\n    \"child_metrics\": [\n      {\n        \"name\": \"<string>\",\n        \"weight\": 123,\n        \"id\": \"<string>\",\n        \"scale\": 123\n      }\n    ],\n    \"filters\": {\n      \"filterArray\": []\n    }\n  },\n  \"event\": {\n    \"event_type\": \"<string>\",\n    \"event_name\": \"<string>\",\n    \"inputs\": {},\n    \"outputs\": {},\n    \"workspace_id\": \"<string>\",\n    \"feedback\": {\n      \"ground_truth\": \"<unknown>\"\n    }\n  }\n}")

	req, _ := http.NewRequest("POST", 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.post("https://api.honeyhive.ai/v1/metrics/run_metric")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"metric\": {\n    \"name\": \"<string>\",\n    \"criteria\": \"<string>\",\n    \"description\": \"\",\n    \"return_type\": \"float\",\n    \"enabled_in_prod\": false,\n    \"needs_ground_truth\": false,\n    \"sampling_percentage\": 10,\n    \"model_provider\": \"<string>\",\n    \"model_name\": \"<string>\",\n    \"scale\": 123,\n    \"threshold\": {\n      \"min\": 123,\n      \"max\": 123,\n      \"pass_when\": true,\n      \"passing_categories\": [\n        \"<string>\"\n      ]\n    },\n    \"categories\": [\n      {\n        \"category\": \"<string>\",\n        \"score\": 123\n      }\n    ],\n    \"child_metrics\": [\n      {\n        \"name\": \"<string>\",\n        \"weight\": 123,\n        \"id\": \"<string>\",\n        \"scale\": 123\n      }\n    ],\n    \"filters\": {\n      \"filterArray\": []\n    }\n  },\n  \"event\": {\n    \"event_type\": \"<string>\",\n    \"event_name\": \"<string>\",\n    \"inputs\": {},\n    \"outputs\": {},\n    \"workspace_id\": \"<string>\",\n    \"feedback\": {\n      \"ground_truth\": \"<unknown>\"\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.honeyhive.ai/v1/metrics/run_metric")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"metric\": {\n    \"name\": \"<string>\",\n    \"criteria\": \"<string>\",\n    \"description\": \"\",\n    \"return_type\": \"float\",\n    \"enabled_in_prod\": false,\n    \"needs_ground_truth\": false,\n    \"sampling_percentage\": 10,\n    \"model_provider\": \"<string>\",\n    \"model_name\": \"<string>\",\n    \"scale\": 123,\n    \"threshold\": {\n      \"min\": 123,\n      \"max\": 123,\n      \"pass_when\": true,\n      \"passing_categories\": [\n        \"<string>\"\n      ]\n    },\n    \"categories\": [\n      {\n        \"category\": \"<string>\",\n        \"score\": 123\n      }\n    ],\n    \"child_metrics\": [\n      {\n        \"name\": \"<string>\",\n        \"weight\": 123,\n        \"id\": \"<string>\",\n        \"scale\": 123\n      }\n    ],\n    \"filters\": {\n      \"filterArray\": []\n    }\n  },\n  \"event\": {\n    \"event_type\": \"<string>\",\n    \"event_name\": \"<string>\",\n    \"inputs\": {},\n    \"outputs\": {},\n    \"workspace_id\": \"<string>\",\n    \"feedback\": {\n      \"ground_truth\": \"<unknown>\"\n    }\n  }\n}"

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

{
  "success": true,
  "loading": true,
  "result": true,
  "explanation": "<string>"
}