import { RaijinLabsLucidAi } from "raijin-labs-lucid-ai";

const raijinLabsLucidAi = new RaijinLabsLucidAi();

async function run() {
  const result = await raijinLabsLucidAi.match.planRoute({});

  console.log(result);
}

run();

curl --request POST \
  --url http://localhost:3001/v1/route \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "compute_catalog": [
    {
      "schema_version": "1.0",
      "compute_passport_id": "<string>",
      "regions": [
        "<string>"
      ],
      "hardware": {
        "gpu": "<string>",
        "vram_gb": 1,
        "arch": "<string>",
        "gpu_count": 1,
        "cpu_cores": 2,
        "memory_gb": 2
      },
      "runtimes": [
        {
          "version": "<string>",
          "image": "<string>"
        }
      ],
      "endpoints": {
        "inference_url": "<string>",
        "quote_url": "<string>",
        "jobs_url": "<string>",
        "health_url": "<string>",
        "metrics_url": "<string>"
      },
      "operator_pubkey": "<string>",
      "residency_supported": false,
      "gpu_fingerprint": "<string>",
      "runtime_hash": "<string>",
      "capabilities": {
        "supports_streaming": true,
        "supports_attestation": false,
        "supports_cc_on": false,
        "inference_types": []
      },
      "network": {
        "p95_ms_estimate": 1,
        "bandwidth": "<string>"
      },
      "limits": {
        "max_context": 1,
        "max_batch": 1,
        "max_input_tokens": 2,
        "max_output_tokens": 2,
        "requests_per_minute": 2
      },
      "pricing": {
        "price_per_1k_tokens_estimate": 1,
        "price_per_minute_estimate": 1,
        "per_input_token": 1,
        "per_output_token": 1
      },
      "workers": [
        {
          "worker_id": "<string>",
          "last_heartbeat": 123
        }
      ],
      "sla": {
        "uptime_target": 50
      },
      "policy_tags": [
        "<string>"
      ],
      "metadata": {}
    }
  ],
  "request_id": "<string>",
  "require_live_healthy": true
}
'

import requests

url = "http://localhost:3001/v1/route"

payload = {
    "compute_catalog": [
        {
            "schema_version": "1.0",
            "compute_passport_id": "<string>",
            "regions": ["<string>"],
            "hardware": {
                "gpu": "<string>",
                "vram_gb": 1,
                "arch": "<string>",
                "gpu_count": 1,
                "cpu_cores": 2,
                "memory_gb": 2
            },
            "runtimes": [
                {
                    "version": "<string>",
                    "image": "<string>"
                }
            ],
            "endpoints": {
                "inference_url": "<string>",
                "quote_url": "<string>",
                "jobs_url": "<string>",
                "health_url": "<string>",
                "metrics_url": "<string>"
            },
            "operator_pubkey": "<string>",
            "residency_supported": False,
            "gpu_fingerprint": "<string>",
            "runtime_hash": "<string>",
            "capabilities": {
                "supports_streaming": True,
                "supports_attestation": False,
                "supports_cc_on": False,
                "inference_types": []
            },
            "network": {
                "p95_ms_estimate": 1,
                "bandwidth": "<string>"
            },
            "limits": {
                "max_context": 1,
                "max_batch": 1,
                "max_input_tokens": 2,
                "max_output_tokens": 2,
                "requests_per_minute": 2
            },
            "pricing": {
                "price_per_1k_tokens_estimate": 1,
                "price_per_minute_estimate": 1,
                "per_input_token": 1,
                "per_output_token": 1
            },
            "workers": [
                {
                    "worker_id": "<string>",
                    "last_heartbeat": 123
                }
            ],
            "sla": { "uptime_target": 50 },
            "policy_tags": ["<string>"],
            "metadata": {}
        }
    ],
    "request_id": "<string>",
    "require_live_healthy": True
}
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({
    compute_catalog: [
      {
        schema_version: '1.0',
        compute_passport_id: '<string>',
        regions: ['<string>'],
        hardware: {
          gpu: '<string>',
          vram_gb: 1,
          arch: '<string>',
          gpu_count: 1,
          cpu_cores: 2,
          memory_gb: 2
        },
        runtimes: [{version: '<string>', image: '<string>'}],
        endpoints: {
          inference_url: '<string>',
          quote_url: '<string>',
          jobs_url: '<string>',
          health_url: '<string>',
          metrics_url: '<string>'
        },
        operator_pubkey: '<string>',
        residency_supported: false,
        gpu_fingerprint: '<string>',
        runtime_hash: '<string>',
        capabilities: {
          supports_streaming: true,
          supports_attestation: false,
          supports_cc_on: false,
          inference_types: []
        },
        network: {p95_ms_estimate: 1, bandwidth: '<string>'},
        limits: {
          max_context: 1,
          max_batch: 1,
          max_input_tokens: 2,
          max_output_tokens: 2,
          requests_per_minute: 2
        },
        pricing: {
          price_per_1k_tokens_estimate: 1,
          price_per_minute_estimate: 1,
          per_input_token: 1,
          per_output_token: 1
        },
        workers: [{worker_id: '<string>', last_heartbeat: 123}],
        sla: {uptime_target: 50},
        policy_tags: ['<string>'],
        metadata: {}
      }
    ],
    request_id: '<string>',
    require_live_healthy: true
  })
};

fetch('http://localhost:3001/v1/route', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_PORT => "3001",
  CURLOPT_URL => "http://localhost:3001/v1/route",
  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([
    'compute_catalog' => [
        [
                'schema_version' => '1.0',
                'compute_passport_id' => '<string>',
                'regions' => [
                                '<string>'
                ],
                'hardware' => [
                                'gpu' => '<string>',
                                'vram_gb' => 1,
                                'arch' => '<string>',
                                'gpu_count' => 1,
                                'cpu_cores' => 2,
                                'memory_gb' => 2
                ],
                'runtimes' => [
                                [
                                                                'version' => '<string>',
                                                                'image' => '<string>'
                                ]
                ],
                'endpoints' => [
                                'inference_url' => '<string>',
                                'quote_url' => '<string>',
                                'jobs_url' => '<string>',
                                'health_url' => '<string>',
                                'metrics_url' => '<string>'
                ],
                'operator_pubkey' => '<string>',
                'residency_supported' => false,
                'gpu_fingerprint' => '<string>',
                'runtime_hash' => '<string>',
                'capabilities' => [
                                'supports_streaming' => true,
                                'supports_attestation' => false,
                                'supports_cc_on' => false,
                                'inference_types' => [
                                                                
                                ]
                ],
                'network' => [
                                'p95_ms_estimate' => 1,
                                'bandwidth' => '<string>'
                ],
                'limits' => [
                                'max_context' => 1,
                                'max_batch' => 1,
                                'max_input_tokens' => 2,
                                'max_output_tokens' => 2,
                                'requests_per_minute' => 2
                ],
                'pricing' => [
                                'price_per_1k_tokens_estimate' => 1,
                                'price_per_minute_estimate' => 1,
                                'per_input_token' => 1,
                                'per_output_token' => 1
                ],
                'workers' => [
                                [
                                                                'worker_id' => '<string>',
                                                                'last_heartbeat' => 123
                                ]
                ],
                'sla' => [
                                'uptime_target' => 50
                ],
                'policy_tags' => [
                                '<string>'
                ],
                'metadata' => [
                                
                ]
        ]
    ],
    'request_id' => '<string>',
    'require_live_healthy' => 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 := "http://localhost:3001/v1/route"

	payload := strings.NewReader("{\n  \"compute_catalog\": [\n    {\n      \"schema_version\": \"1.0\",\n      \"compute_passport_id\": \"<string>\",\n      \"regions\": [\n        \"<string>\"\n      ],\n      \"hardware\": {\n        \"gpu\": \"<string>\",\n        \"vram_gb\": 1,\n        \"arch\": \"<string>\",\n        \"gpu_count\": 1,\n        \"cpu_cores\": 2,\n        \"memory_gb\": 2\n      },\n      \"runtimes\": [\n        {\n          \"version\": \"<string>\",\n          \"image\": \"<string>\"\n        }\n      ],\n      \"endpoints\": {\n        \"inference_url\": \"<string>\",\n        \"quote_url\": \"<string>\",\n        \"jobs_url\": \"<string>\",\n        \"health_url\": \"<string>\",\n        \"metrics_url\": \"<string>\"\n      },\n      \"operator_pubkey\": \"<string>\",\n      \"residency_supported\": false,\n      \"gpu_fingerprint\": \"<string>\",\n      \"runtime_hash\": \"<string>\",\n      \"capabilities\": {\n        \"supports_streaming\": true,\n        \"supports_attestation\": false,\n        \"supports_cc_on\": false,\n        \"inference_types\": []\n      },\n      \"network\": {\n        \"p95_ms_estimate\": 1,\n        \"bandwidth\": \"<string>\"\n      },\n      \"limits\": {\n        \"max_context\": 1,\n        \"max_batch\": 1,\n        \"max_input_tokens\": 2,\n        \"max_output_tokens\": 2,\n        \"requests_per_minute\": 2\n      },\n      \"pricing\": {\n        \"price_per_1k_tokens_estimate\": 1,\n        \"price_per_minute_estimate\": 1,\n        \"per_input_token\": 1,\n        \"per_output_token\": 1\n      },\n      \"workers\": [\n        {\n          \"worker_id\": \"<string>\",\n          \"last_heartbeat\": 123\n        }\n      ],\n      \"sla\": {\n        \"uptime_target\": 50\n      },\n      \"policy_tags\": [\n        \"<string>\"\n      ],\n      \"metadata\": {}\n    }\n  ],\n  \"request_id\": \"<string>\",\n  \"require_live_healthy\": true\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("http://localhost:3001/v1/route")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"compute_catalog\": [\n    {\n      \"schema_version\": \"1.0\",\n      \"compute_passport_id\": \"<string>\",\n      \"regions\": [\n        \"<string>\"\n      ],\n      \"hardware\": {\n        \"gpu\": \"<string>\",\n        \"vram_gb\": 1,\n        \"arch\": \"<string>\",\n        \"gpu_count\": 1,\n        \"cpu_cores\": 2,\n        \"memory_gb\": 2\n      },\n      \"runtimes\": [\n        {\n          \"version\": \"<string>\",\n          \"image\": \"<string>\"\n        }\n      ],\n      \"endpoints\": {\n        \"inference_url\": \"<string>\",\n        \"quote_url\": \"<string>\",\n        \"jobs_url\": \"<string>\",\n        \"health_url\": \"<string>\",\n        \"metrics_url\": \"<string>\"\n      },\n      \"operator_pubkey\": \"<string>\",\n      \"residency_supported\": false,\n      \"gpu_fingerprint\": \"<string>\",\n      \"runtime_hash\": \"<string>\",\n      \"capabilities\": {\n        \"supports_streaming\": true,\n        \"supports_attestation\": false,\n        \"supports_cc_on\": false,\n        \"inference_types\": []\n      },\n      \"network\": {\n        \"p95_ms_estimate\": 1,\n        \"bandwidth\": \"<string>\"\n      },\n      \"limits\": {\n        \"max_context\": 1,\n        \"max_batch\": 1,\n        \"max_input_tokens\": 2,\n        \"max_output_tokens\": 2,\n        \"requests_per_minute\": 2\n      },\n      \"pricing\": {\n        \"price_per_1k_tokens_estimate\": 1,\n        \"price_per_minute_estimate\": 1,\n        \"per_input_token\": 1,\n        \"per_output_token\": 1\n      },\n      \"workers\": [\n        {\n          \"worker_id\": \"<string>\",\n          \"last_heartbeat\": 123\n        }\n      ],\n      \"sla\": {\n        \"uptime_target\": 50\n      },\n      \"policy_tags\": [\n        \"<string>\"\n      ],\n      \"metadata\": {}\n    }\n  ],\n  \"request_id\": \"<string>\",\n  \"require_live_healthy\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("http://localhost:3001/v1/route")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"compute_catalog\": [\n    {\n      \"schema_version\": \"1.0\",\n      \"compute_passport_id\": \"<string>\",\n      \"regions\": [\n        \"<string>\"\n      ],\n      \"hardware\": {\n        \"gpu\": \"<string>\",\n        \"vram_gb\": 1,\n        \"arch\": \"<string>\",\n        \"gpu_count\": 1,\n        \"cpu_cores\": 2,\n        \"memory_gb\": 2\n      },\n      \"runtimes\": [\n        {\n          \"version\": \"<string>\",\n          \"image\": \"<string>\"\n        }\n      ],\n      \"endpoints\": {\n        \"inference_url\": \"<string>\",\n        \"quote_url\": \"<string>\",\n        \"jobs_url\": \"<string>\",\n        \"health_url\": \"<string>\",\n        \"metrics_url\": \"<string>\"\n      },\n      \"operator_pubkey\": \"<string>\",\n      \"residency_supported\": false,\n      \"gpu_fingerprint\": \"<string>\",\n      \"runtime_hash\": \"<string>\",\n      \"capabilities\": {\n        \"supports_streaming\": true,\n        \"supports_attestation\": false,\n        \"supports_cc_on\": false,\n        \"inference_types\": []\n      },\n      \"network\": {\n        \"p95_ms_estimate\": 1,\n        \"bandwidth\": \"<string>\"\n      },\n      \"limits\": {\n        \"max_context\": 1,\n        \"max_batch\": 1,\n        \"max_input_tokens\": 2,\n        \"max_output_tokens\": 2,\n        \"requests_per_minute\": 2\n      },\n      \"pricing\": {\n        \"price_per_1k_tokens_estimate\": 1,\n        \"price_per_minute_estimate\": 1,\n        \"per_input_token\": 1,\n        \"per_output_token\": 1\n      },\n      \"workers\": [\n        {\n          \"worker_id\": \"<string>\",\n          \"last_heartbeat\": 123\n        }\n      ],\n      \"sla\": {\n        \"uptime_target\": 50\n      },\n      \"policy_tags\": [\n        \"<string>\"\n      ],\n      \"metadata\": {}\n    }\n  ],\n  \"request_id\": \"<string>\",\n  \"require_live_healthy\": true\n}"

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

{
  "success": true,
  "route": {
    "compute_passport_id": "<string>",
    "model_passport_id": "<string>",
    "endpoint": "<string>",
    "runtime": "<string>",
    "policy_hash": "<string>",
    "fallbacks": [
      {}
    ]
  },
  "explain": {},
  "request_id": "<string>"
}

{
  "success": true,
  "error": "<string>",
  "message": "<string>",
  "error_code": "<string>",
  "details": "<unknown>"
}

{
  "success": true,
  "error": "<string>",
  "message": "<string>",
  "error_code": "<string>",
  "details": "<unknown>"
}