Update the agent's model selection

curl --request PATCH \
  --url https://api.gennia.ai/public/api/v1/agents/{agentPublicId}/model \
  --header 'Content-Type: application/json' \
  --header 'X-Api-Key: <api-key>' \
  --data '
{
  "aiModelPublicId": "9c3a4d22-1a8d-4b3f-9b1e-7a0f0c4f3e21",
  "temperature": 0.7,
  "thinkingEffort": "medium",
  "thinkingEnabled": true
}
'

import requests

url = "https://api.gennia.ai/public/api/v1/agents/{agentPublicId}/model"

payload = {
    "aiModelPublicId": "9c3a4d22-1a8d-4b3f-9b1e-7a0f0c4f3e21",
    "temperature": 0.7,
    "thinkingEffort": "medium",
    "thinkingEnabled": True
}
headers = {
    "X-Api-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PATCH',
  headers: {'X-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    aiModelPublicId: '9c3a4d22-1a8d-4b3f-9b1e-7a0f0c4f3e21',
    temperature: 0.7,
    thinkingEffort: 'medium',
    thinkingEnabled: true
  })
};

fetch('https://api.gennia.ai/public/api/v1/agents/{agentPublicId}/model', 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.gennia.ai/public/api/v1/agents/{agentPublicId}/model",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PATCH",
  CURLOPT_POSTFIELDS => json_encode([
    'aiModelPublicId' => '9c3a4d22-1a8d-4b3f-9b1e-7a0f0c4f3e21',
    'temperature' => 0.7,
    'thinkingEffort' => 'medium',
    'thinkingEnabled' => true
  ]),
  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.gennia.ai/public/api/v1/agents/{agentPublicId}/model"

	payload := strings.NewReader("{\n  \"aiModelPublicId\": \"9c3a4d22-1a8d-4b3f-9b1e-7a0f0c4f3e21\",\n  \"temperature\": 0.7,\n  \"thinkingEffort\": \"medium\",\n  \"thinkingEnabled\": true\n}")

	req, _ := http.NewRequest("PATCH", 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.patch("https://api.gennia.ai/public/api/v1/agents/{agentPublicId}/model")
  .header("X-Api-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"aiModelPublicId\": \"9c3a4d22-1a8d-4b3f-9b1e-7a0f0c4f3e21\",\n  \"temperature\": 0.7,\n  \"thinkingEffort\": \"medium\",\n  \"thinkingEnabled\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.gennia.ai/public/api/v1/agents/{agentPublicId}/model")

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

request = Net::HTTP::Patch.new(url)
request["X-Api-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"aiModelPublicId\": \"9c3a4d22-1a8d-4b3f-9b1e-7a0f0c4f3e21\",\n  \"temperature\": 0.7,\n  \"thinkingEffort\": \"medium\",\n  \"thinkingEnabled\": true\n}"

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

{
  "aiModelName": "<string>",
  "aiModelPublicId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "capabilities": {
    "contextWindow": 123,
    "maxTemperature": 123,
    "minTemperature": 123,
    "supportsDocument": true,
    "supportsImage": true,
    "supportsTemperature": true,
    "supportsThinking": true
  },
  "modelId": "<string>",
  "provider": "<string>",
  "temperature": 123,
  "thinkingEffort": "<string>",
  "thinkingEnabled": true
}

{
  "aiModelName": "<string>",
  "aiModelPublicId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "capabilities": {
    "contextWindow": 123,
    "maxTemperature": 123,
    "minTemperature": 123,
    "supportsDocument": true,
    "supportsImage": true,
    "supportsTemperature": true,
    "supportsThinking": true
  },
  "modelId": "<string>",
  "provider": "<string>",
  "temperature": 123,
  "thinkingEffort": "<string>",
  "thinkingEnabled": true
}

{
  "aiModelName": "<string>",
  "aiModelPublicId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "capabilities": {
    "contextWindow": 123,
    "maxTemperature": 123,
    "minTemperature": 123,
    "supportsDocument": true,
    "supportsImage": true,
    "supportsTemperature": true,
    "supportsThinking": true
  },
  "modelId": "<string>",
  "provider": "<string>",
  "temperature": 123,
  "thinkingEffort": "<string>",
  "thinkingEnabled": true
}

{
  "aiModelName": "<string>",
  "aiModelPublicId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "capabilities": {
    "contextWindow": 123,
    "maxTemperature": 123,
    "minTemperature": 123,
    "supportsDocument": true,
    "supportsImage": true,
    "supportsTemperature": true,
    "supportsThinking": true
  },
  "modelId": "<string>",
  "provider": "<string>",
  "temperature": 123,
  "thinkingEffort": "<string>",
  "thinkingEnabled": true
}

{
  "aiModelName": "<string>",
  "aiModelPublicId": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "capabilities": {
    "contextWindow": 123,
    "maxTemperature": 123,
    "minTemperature": 123,
    "supportsDocument": true,
    "supportsImage": true,
    "supportsTemperature": true,
    "supportsThinking": true
  },
  "modelId": "<string>",
  "provider": "<string>",
  "temperature": 123,
  "thinkingEffort": "<string>",
  "thinkingEnabled": true
}