curl --request POST \
  --url https://api.egp.scale.com/v5/models \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "name": "<string>",
  "vendor_configuration": {
    "model_image": {
      "registry": "<string>",
      "repository": "<string>",
      "tag": "<string>",
      "command": [
        "<string>"
      ],
      "predict_route": "/predict",
      "streaming_predict_route": "<string>",
      "streaming_command": [
        "<string>"
      ],
      "request_schema": {},
      "response_schema": {},
      "env_vars": {},
      "readiness_delay": 120,
      "healthcheck_route": "/readyz"
    },
    "model_infra": {
      "endpoint_type": "sync",
      "cpus": 3,
      "gpus": 0,
      "memory": "8Gi",
      "storage": "16Gi",
      "min_workers": 0,
      "max_workers": 1,
      "per_worker": 10,
      "high_priority": false,
      "labels": {},
      "public_inference": false
    }
  },
  "model_type": "generic",
  "model_vendor": "launch",
  "model_metadata": {},
  "on_conflict": "error"
}
'

import requests

url = "https://api.egp.scale.com/v5/models"

payload = {
    "name": "<string>",
    "vendor_configuration": {
        "model_image": {
            "registry": "<string>",
            "repository": "<string>",
            "tag": "<string>",
            "command": ["<string>"],
            "predict_route": "/predict",
            "streaming_predict_route": "<string>",
            "streaming_command": ["<string>"],
            "request_schema": {},
            "response_schema": {},
            "env_vars": {},
            "readiness_delay": 120,
            "healthcheck_route": "/readyz"
        },
        "model_infra": {
            "endpoint_type": "sync",
            "cpus": 3,
            "gpus": 0,
            "memory": "8Gi",
            "storage": "16Gi",
            "min_workers": 0,
            "max_workers": 1,
            "per_worker": 10,
            "high_priority": False,
            "labels": {},
            "public_inference": False
        }
    },
    "model_type": "generic",
    "model_vendor": "launch",
    "model_metadata": {},
    "on_conflict": "error"
}
headers = {
    "x-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    vendor_configuration: {
      model_image: {
        registry: '<string>',
        repository: '<string>',
        tag: '<string>',
        command: ['<string>'],
        predict_route: '/predict',
        streaming_predict_route: '<string>',
        streaming_command: ['<string>'],
        request_schema: {},
        response_schema: {},
        env_vars: {},
        readiness_delay: 120,
        healthcheck_route: '/readyz'
      },
      model_infra: {
        endpoint_type: 'sync',
        cpus: 3,
        gpus: 0,
        memory: '8Gi',
        storage: '16Gi',
        min_workers: 0,
        max_workers: 1,
        per_worker: 10,
        high_priority: false,
        labels: {},
        public_inference: false
      }
    },
    model_type: 'generic',
    model_vendor: 'launch',
    model_metadata: {},
    on_conflict: 'error'
  })
};

fetch('https://api.egp.scale.com/v5/models', 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.egp.scale.com/v5/models",
  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([
    'name' => '<string>',
    'vendor_configuration' => [
        'model_image' => [
                'registry' => '<string>',
                'repository' => '<string>',
                'tag' => '<string>',
                'command' => [
                                '<string>'
                ],
                'predict_route' => '/predict',
                'streaming_predict_route' => '<string>',
                'streaming_command' => [
                                '<string>'
                ],
                'request_schema' => [
                                
                ],
                'response_schema' => [
                                
                ],
                'env_vars' => [
                                
                ],
                'readiness_delay' => 120,
                'healthcheck_route' => '/readyz'
        ],
        'model_infra' => [
                'endpoint_type' => 'sync',
                'cpus' => 3,
                'gpus' => 0,
                'memory' => '8Gi',
                'storage' => '16Gi',
                'min_workers' => 0,
                'max_workers' => 1,
                'per_worker' => 10,
                'high_priority' => false,
                'labels' => [
                                
                ],
                'public_inference' => false
        ]
    ],
    'model_type' => 'generic',
    'model_vendor' => 'launch',
    'model_metadata' => [
        
    ],
    'on_conflict' => 'error'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($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.egp.scale.com/v5/models"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"vendor_configuration\": {\n    \"model_image\": {\n      \"registry\": \"<string>\",\n      \"repository\": \"<string>\",\n      \"tag\": \"<string>\",\n      \"command\": [\n        \"<string>\"\n      ],\n      \"predict_route\": \"/predict\",\n      \"streaming_predict_route\": \"<string>\",\n      \"streaming_command\": [\n        \"<string>\"\n      ],\n      \"request_schema\": {},\n      \"response_schema\": {},\n      \"env_vars\": {},\n      \"readiness_delay\": 120,\n      \"healthcheck_route\": \"/readyz\"\n    },\n    \"model_infra\": {\n      \"endpoint_type\": \"sync\",\n      \"cpus\": 3,\n      \"gpus\": 0,\n      \"memory\": \"8Gi\",\n      \"storage\": \"16Gi\",\n      \"min_workers\": 0,\n      \"max_workers\": 1,\n      \"per_worker\": 10,\n      \"high_priority\": false,\n      \"labels\": {},\n      \"public_inference\": false\n    }\n  },\n  \"model_type\": \"generic\",\n  \"model_vendor\": \"launch\",\n  \"model_metadata\": {},\n  \"on_conflict\": \"error\"\n}")

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

	req.Header.Add("x-api-key", "<api-key>")
	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.egp.scale.com/v5/models")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"vendor_configuration\": {\n    \"model_image\": {\n      \"registry\": \"<string>\",\n      \"repository\": \"<string>\",\n      \"tag\": \"<string>\",\n      \"command\": [\n        \"<string>\"\n      ],\n      \"predict_route\": \"/predict\",\n      \"streaming_predict_route\": \"<string>\",\n      \"streaming_command\": [\n        \"<string>\"\n      ],\n      \"request_schema\": {},\n      \"response_schema\": {},\n      \"env_vars\": {},\n      \"readiness_delay\": 120,\n      \"healthcheck_route\": \"/readyz\"\n    },\n    \"model_infra\": {\n      \"endpoint_type\": \"sync\",\n      \"cpus\": 3,\n      \"gpus\": 0,\n      \"memory\": \"8Gi\",\n      \"storage\": \"16Gi\",\n      \"min_workers\": 0,\n      \"max_workers\": 1,\n      \"per_worker\": 10,\n      \"high_priority\": false,\n      \"labels\": {},\n      \"public_inference\": false\n    }\n  },\n  \"model_type\": \"generic\",\n  \"model_vendor\": \"launch\",\n  \"model_metadata\": {},\n  \"on_conflict\": \"error\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.egp.scale.com/v5/models")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"vendor_configuration\": {\n    \"model_image\": {\n      \"registry\": \"<string>\",\n      \"repository\": \"<string>\",\n      \"tag\": \"<string>\",\n      \"command\": [\n        \"<string>\"\n      ],\n      \"predict_route\": \"/predict\",\n      \"streaming_predict_route\": \"<string>\",\n      \"streaming_command\": [\n        \"<string>\"\n      ],\n      \"request_schema\": {},\n      \"response_schema\": {},\n      \"env_vars\": {},\n      \"readiness_delay\": 120,\n      \"healthcheck_route\": \"/readyz\"\n    },\n    \"model_infra\": {\n      \"endpoint_type\": \"sync\",\n      \"cpus\": 3,\n      \"gpus\": 0,\n      \"memory\": \"8Gi\",\n      \"storage\": \"16Gi\",\n      \"min_workers\": 0,\n      \"max_workers\": 1,\n      \"per_worker\": 10,\n      \"high_priority\": false,\n      \"labels\": {},\n      \"public_inference\": false\n    }\n  },\n  \"model_type\": \"generic\",\n  \"model_vendor\": \"launch\",\n  \"model_metadata\": {},\n  \"on_conflict\": \"error\"\n}"

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

{
  "id": "<string>",
  "name": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "created_by_user_id": "<string>",
  "object": "model",
  "vendor_configuration": {
    "model_image": {
      "registry": "<string>",
      "repository": "<string>",
      "tag": "<string>",
      "command": [
        "<string>"
      ],
      "predict_route": "/predict",
      "streaming_predict_route": "<string>",
      "streaming_command": [
        "<string>"
      ],
      "request_schema": {},
      "response_schema": {},
      "env_vars": {},
      "readiness_delay": 120,
      "healthcheck_route": "/readyz"
    },
    "model_infra": {
      "endpoint_type": "sync",
      "cpus": 3,
      "gpus": 0,
      "memory": "8Gi",
      "storage": "16Gi",
      "min_workers": 0,
      "max_workers": 1,
      "per_worker": 10,
      "high_priority": false,
      "labels": {},
      "public_inference": false
    }
  },
  "status_reason": "<string>",
  "model_metadata": {}
}

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