curl --request PUT \
  --url https://api.onvy.health/users/{user_id}/ai/summaries/{summary_id} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "id": "<string>",
  "user_id": "<string>",
  "project_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "period": {
    "id": "<string>",
    "start": "2023-11-07T05:31:56Z",
    "end": "2023-11-07T05:31:56Z",
    "duration_seconds": 123
  },
  "data": {},
  "llm_output": {
    "language": "<string>",
    "title": "<string>",
    "text": "<string>",
    "followup_questions": [
      "<string>"
    ]
  },
  "providers": [],
  "is_custom": true,
  "ref": "<string>",
  "knowledge_urls": [
    {
      "title": "<string>",
      "url": "<string>"
    }
  ],
  "user_comment": "<string>",
  "llm_debug": {
    "model": "<string>",
    "prompt_id": "<string>",
    "org_prompt_id": "<string>"
  }
}
'

import requests

url = "https://api.onvy.health/users/{user_id}/ai/summaries/{summary_id}"

payload = {
    "id": "<string>",
    "user_id": "<string>",
    "project_id": "<string>",
    "created_at": "2023-11-07T05:31:56Z",
    "updated_at": "2023-11-07T05:31:56Z",
    "period": {
        "id": "<string>",
        "start": "2023-11-07T05:31:56Z",
        "end": "2023-11-07T05:31:56Z",
        "duration_seconds": 123
    },
    "data": {},
    "llm_output": {
        "language": "<string>",
        "title": "<string>",
        "text": "<string>",
        "followup_questions": ["<string>"]
    },
    "providers": [],
    "is_custom": True,
    "ref": "<string>",
    "knowledge_urls": [
        {
            "title": "<string>",
            "url": "<string>"
        }
    ],
    "user_comment": "<string>",
    "llm_debug": {
        "model": "<string>",
        "prompt_id": "<string>",
        "org_prompt_id": "<string>"
    }
}
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({
    id: '<string>',
    user_id: '<string>',
    project_id: '<string>',
    created_at: '2023-11-07T05:31:56Z',
    updated_at: '2023-11-07T05:31:56Z',
    period: {
      id: '<string>',
      start: '2023-11-07T05:31:56Z',
      end: '2023-11-07T05:31:56Z',
      duration_seconds: 123
    },
    data: {},
    llm_output: {
      language: '<string>',
      title: '<string>',
      text: '<string>',
      followup_questions: ['<string>']
    },
    providers: [],
    is_custom: true,
    ref: '<string>',
    knowledge_urls: [{title: '<string>', url: '<string>'}],
    user_comment: '<string>',
    llm_debug: {model: '<string>', prompt_id: '<string>', org_prompt_id: '<string>'}
  })
};

fetch('https://api.onvy.health/users/{user_id}/ai/summaries/{summary_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.onvy.health/users/{user_id}/ai/summaries/{summary_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([
    'id' => '<string>',
    'user_id' => '<string>',
    'project_id' => '<string>',
    'created_at' => '2023-11-07T05:31:56Z',
    'updated_at' => '2023-11-07T05:31:56Z',
    'period' => [
        'id' => '<string>',
        'start' => '2023-11-07T05:31:56Z',
        'end' => '2023-11-07T05:31:56Z',
        'duration_seconds' => 123
    ],
    'data' => [
        
    ],
    'llm_output' => [
        'language' => '<string>',
        'title' => '<string>',
        'text' => '<string>',
        'followup_questions' => [
                '<string>'
        ]
    ],
    'providers' => [
        
    ],
    'is_custom' => true,
    'ref' => '<string>',
    'knowledge_urls' => [
        [
                'title' => '<string>',
                'url' => '<string>'
        ]
    ],
    'user_comment' => '<string>',
    'llm_debug' => [
        'model' => '<string>',
        'prompt_id' => '<string>',
        'org_prompt_id' => '<string>'
    ]
  ]),
  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.onvy.health/users/{user_id}/ai/summaries/{summary_id}"

	payload := strings.NewReader("{\n  \"id\": \"<string>\",\n  \"user_id\": \"<string>\",\n  \"project_id\": \"<string>\",\n  \"created_at\": \"2023-11-07T05:31:56Z\",\n  \"updated_at\": \"2023-11-07T05:31:56Z\",\n  \"period\": {\n    \"id\": \"<string>\",\n    \"start\": \"2023-11-07T05:31:56Z\",\n    \"end\": \"2023-11-07T05:31:56Z\",\n    \"duration_seconds\": 123\n  },\n  \"data\": {},\n  \"llm_output\": {\n    \"language\": \"<string>\",\n    \"title\": \"<string>\",\n    \"text\": \"<string>\",\n    \"followup_questions\": [\n      \"<string>\"\n    ]\n  },\n  \"providers\": [],\n  \"is_custom\": true,\n  \"ref\": \"<string>\",\n  \"knowledge_urls\": [\n    {\n      \"title\": \"<string>\",\n      \"url\": \"<string>\"\n    }\n  ],\n  \"user_comment\": \"<string>\",\n  \"llm_debug\": {\n    \"model\": \"<string>\",\n    \"prompt_id\": \"<string>\",\n    \"org_prompt_id\": \"<string>\"\n  }\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.onvy.health/users/{user_id}/ai/summaries/{summary_id}")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"id\": \"<string>\",\n  \"user_id\": \"<string>\",\n  \"project_id\": \"<string>\",\n  \"created_at\": \"2023-11-07T05:31:56Z\",\n  \"updated_at\": \"2023-11-07T05:31:56Z\",\n  \"period\": {\n    \"id\": \"<string>\",\n    \"start\": \"2023-11-07T05:31:56Z\",\n    \"end\": \"2023-11-07T05:31:56Z\",\n    \"duration_seconds\": 123\n  },\n  \"data\": {},\n  \"llm_output\": {\n    \"language\": \"<string>\",\n    \"title\": \"<string>\",\n    \"text\": \"<string>\",\n    \"followup_questions\": [\n      \"<string>\"\n    ]\n  },\n  \"providers\": [],\n  \"is_custom\": true,\n  \"ref\": \"<string>\",\n  \"knowledge_urls\": [\n    {\n      \"title\": \"<string>\",\n      \"url\": \"<string>\"\n    }\n  ],\n  \"user_comment\": \"<string>\",\n  \"llm_debug\": {\n    \"model\": \"<string>\",\n    \"prompt_id\": \"<string>\",\n    \"org_prompt_id\": \"<string>\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.onvy.health/users/{user_id}/ai/summaries/{summary_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  \"id\": \"<string>\",\n  \"user_id\": \"<string>\",\n  \"project_id\": \"<string>\",\n  \"created_at\": \"2023-11-07T05:31:56Z\",\n  \"updated_at\": \"2023-11-07T05:31:56Z\",\n  \"period\": {\n    \"id\": \"<string>\",\n    \"start\": \"2023-11-07T05:31:56Z\",\n    \"end\": \"2023-11-07T05:31:56Z\",\n    \"duration_seconds\": 123\n  },\n  \"data\": {},\n  \"llm_output\": {\n    \"language\": \"<string>\",\n    \"title\": \"<string>\",\n    \"text\": \"<string>\",\n    \"followup_questions\": [\n      \"<string>\"\n    ]\n  },\n  \"providers\": [],\n  \"is_custom\": true,\n  \"ref\": \"<string>\",\n  \"knowledge_urls\": [\n    {\n      \"title\": \"<string>\",\n      \"url\": \"<string>\"\n    }\n  ],\n  \"user_comment\": \"<string>\",\n  \"llm_debug\": {\n    \"model\": \"<string>\",\n    \"prompt_id\": \"<string>\",\n    \"org_prompt_id\": \"<string>\"\n  }\n}"

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

{
  "id": "<string>",
  "name": "WorkoutSummary",
  "user_id": "<string>",
  "project_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "period": {
    "type": "activity",
    "id": "<string>",
    "start": "2023-11-07T05:31:56Z",
    "end": "2023-11-07T05:31:56Z",
    "duration_seconds": 123
  },
  "data": {},
  "llm_output": {
    "language": "<string>",
    "title": "<string>",
    "text": "<string>",
    "followup_questions": [
      "<string>"
    ]
  },
  "providers": [
    "GARMIN"
  ],
  "is_custom": true,
  "ref": "<string>",
  "knowledge_urls": [
    {
      "title": "<string>",
      "url": "<string>"
    }
  ],
  "user_comment": "<string>",
  "user_rating": -1,
  "llm_debug": {
    "model": "<string>",
    "prompt_id": "<string>",
    "org_prompt_id": "<string>"
  }
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}