curl --request POST \
  --url http://localhost:6699/api/v1/analyze \
  --header 'Content-Type: application/json' \
  --header 'X-License-Key: <api-key>' \
  --data '
{
  "cache_dir": "<string>",
  "detect_speakers": true,
  "speaker_count": "auto",
  "preferred_qwen_model_key": "auto",
  "visual_media_paths": [
    "<string>"
  ],
  "transcription_jobs": [
    {
      "path": "<string>",
      "language": "english",
      "detect_speakers": true,
      "speaker_count": "auto",
      "preferred_qwen_model_key": "auto",
      "channels": null
    }
  ],
  "face_clustering_jobs": [
    {
      "cluster_job_name": "<string>",
      "face_media_paths": [
        "<string>"
      ],
      "face_eps": 123,
      "face_min_samples": 123
    }
  ]
}
'

import requests

url = "http://localhost:6699/api/v1/analyze"

payload = {
    "cache_dir": "<string>",
    "detect_speakers": True,
    "speaker_count": "auto",
    "preferred_qwen_model_key": "auto",
    "visual_media_paths": ["<string>"],
    "transcription_jobs": [
        {
            "path": "<string>",
            "language": "english",
            "detect_speakers": True,
            "speaker_count": "auto",
            "preferred_qwen_model_key": "auto",
            "channels": None
        }
    ],
    "face_clustering_jobs": [
        {
            "cluster_job_name": "<string>",
            "face_media_paths": ["<string>"],
            "face_eps": 123,
            "face_min_samples": 123
        }
    ]
}
headers = {
    "X-License-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-License-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    cache_dir: '<string>',
    detect_speakers: true,
    speaker_count: 'auto',
    preferred_qwen_model_key: 'auto',
    visual_media_paths: ['<string>'],
    transcription_jobs: [
      {
        path: '<string>',
        language: 'english',
        detect_speakers: true,
        speaker_count: 'auto',
        preferred_qwen_model_key: 'auto',
        channels: null
      }
    ],
    face_clustering_jobs: [
      {
        cluster_job_name: '<string>',
        face_media_paths: ['<string>'],
        face_eps: 123,
        face_min_samples: 123
      }
    ]
  })
};

fetch('http://localhost:6699/api/v1/analyze', 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 => "6699",
  CURLOPT_URL => "http://localhost:6699/api/v1/analyze",
  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([
    'cache_dir' => '<string>',
    'detect_speakers' => true,
    'speaker_count' => 'auto',
    'preferred_qwen_model_key' => 'auto',
    'visual_media_paths' => [
        '<string>'
    ],
    'transcription_jobs' => [
        [
                'path' => '<string>',
                'language' => 'english',
                'detect_speakers' => true,
                'speaker_count' => 'auto',
                'preferred_qwen_model_key' => 'auto',
                'channels' => null
        ]
    ],
    'face_clustering_jobs' => [
        [
                'cluster_job_name' => '<string>',
                'face_media_paths' => [
                                '<string>'
                ],
                'face_eps' => 123,
                'face_min_samples' => 123
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-License-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 := "http://localhost:6699/api/v1/analyze"

	payload := strings.NewReader("{\n  \"cache_dir\": \"<string>\",\n  \"detect_speakers\": true,\n  \"speaker_count\": \"auto\",\n  \"preferred_qwen_model_key\": \"auto\",\n  \"visual_media_paths\": [\n    \"<string>\"\n  ],\n  \"transcription_jobs\": [\n    {\n      \"path\": \"<string>\",\n      \"language\": \"english\",\n      \"detect_speakers\": true,\n      \"speaker_count\": \"auto\",\n      \"preferred_qwen_model_key\": \"auto\",\n      \"channels\": null\n    }\n  ],\n  \"face_clustering_jobs\": [\n    {\n      \"cluster_job_name\": \"<string>\",\n      \"face_media_paths\": [\n        \"<string>\"\n      ],\n      \"face_eps\": 123,\n      \"face_min_samples\": 123\n    }\n  ]\n}")

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

	req.Header.Add("X-License-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("http://localhost:6699/api/v1/analyze")
  .header("X-License-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"cache_dir\": \"<string>\",\n  \"detect_speakers\": true,\n  \"speaker_count\": \"auto\",\n  \"preferred_qwen_model_key\": \"auto\",\n  \"visual_media_paths\": [\n    \"<string>\"\n  ],\n  \"transcription_jobs\": [\n    {\n      \"path\": \"<string>\",\n      \"language\": \"english\",\n      \"detect_speakers\": true,\n      \"speaker_count\": \"auto\",\n      \"preferred_qwen_model_key\": \"auto\",\n      \"channels\": null\n    }\n  ],\n  \"face_clustering_jobs\": [\n    {\n      \"cluster_job_name\": \"<string>\",\n      \"face_media_paths\": [\n        \"<string>\"\n      ],\n      \"face_eps\": 123,\n      \"face_min_samples\": 123\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("http://localhost:6699/api/v1/analyze")

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

request = Net::HTTP::Post.new(url)
request["X-License-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"cache_dir\": \"<string>\",\n  \"detect_speakers\": true,\n  \"speaker_count\": \"auto\",\n  \"preferred_qwen_model_key\": \"auto\",\n  \"visual_media_paths\": [\n    \"<string>\"\n  ],\n  \"transcription_jobs\": [\n    {\n      \"path\": \"<string>\",\n      \"language\": \"english\",\n      \"detect_speakers\": true,\n      \"speaker_count\": \"auto\",\n      \"preferred_qwen_model_key\": \"auto\",\n      \"channels\": null\n    }\n  ],\n  \"face_clustering_jobs\": [\n    {\n      \"cluster_job_name\": \"<string>\",\n      \"face_media_paths\": [\n        \"<string>\"\n      ],\n      \"face_eps\": 123,\n      \"face_min_samples\": 123\n    }\n  ]\n}"

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

{
  "message": "Analysis started",
  "task_id": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}