curl --request POST \
  --url https://api.trajectory.ai/api/v1/deploy \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "checkpoint_id": "<string>",
  "test_model_slug": "<string>",
  "agent_id": "<string>",
  "model_endpoint_config": {
    "model_path": "<string>",
    "max_output_tokens_per_step": 1,
    "max_context_tokens": 1,
    "max_output_tokens": 1,
    "max_turns_per_trajectory": 125,
    "temperature_override": 1,
    "disable_thinking": true,
    "tokenizer_path": "<string>",
    "top_p_override": 0.5,
    "top_k_override": 0
  }
}
'

import requests

url = "https://api.trajectory.ai/api/v1/deploy"

payload = {
    "checkpoint_id": "<string>",
    "test_model_slug": "<string>",
    "agent_id": "<string>",
    "model_endpoint_config": {
        "model_path": "<string>",
        "max_output_tokens_per_step": 1,
        "max_context_tokens": 1,
        "max_output_tokens": 1,
        "max_turns_per_trajectory": 125,
        "temperature_override": 1,
        "disable_thinking": True,
        "tokenizer_path": "<string>",
        "top_p_override": 0.5,
        "top_k_override": 0
    }
}
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({
    checkpoint_id: '<string>',
    test_model_slug: '<string>',
    agent_id: '<string>',
    model_endpoint_config: {
      model_path: '<string>',
      max_output_tokens_per_step: 1,
      max_context_tokens: 1,
      max_output_tokens: 1,
      max_turns_per_trajectory: 125,
      temperature_override: 1,
      disable_thinking: true,
      tokenizer_path: '<string>',
      top_p_override: 0.5,
      top_k_override: 0
    }
  })
};

fetch('https://api.trajectory.ai/api/v1/deploy', 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.trajectory.ai/api/v1/deploy",
  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([
    'checkpoint_id' => '<string>',
    'test_model_slug' => '<string>',
    'agent_id' => '<string>',
    'model_endpoint_config' => [
        'model_path' => '<string>',
        'max_output_tokens_per_step' => 1,
        'max_context_tokens' => 1,
        'max_output_tokens' => 1,
        'max_turns_per_trajectory' => 125,
        'temperature_override' => 1,
        'disable_thinking' => true,
        'tokenizer_path' => '<string>',
        'top_p_override' => 0.5,
        'top_k_override' => 0
    ]
  ]),
  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.trajectory.ai/api/v1/deploy"

	payload := strings.NewReader("{\n  \"checkpoint_id\": \"<string>\",\n  \"test_model_slug\": \"<string>\",\n  \"agent_id\": \"<string>\",\n  \"model_endpoint_config\": {\n    \"model_path\": \"<string>\",\n    \"max_output_tokens_per_step\": 1,\n    \"max_context_tokens\": 1,\n    \"max_output_tokens\": 1,\n    \"max_turns_per_trajectory\": 125,\n    \"temperature_override\": 1,\n    \"disable_thinking\": true,\n    \"tokenizer_path\": \"<string>\",\n    \"top_p_override\": 0.5,\n    \"top_k_override\": 0\n  }\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.trajectory.ai/api/v1/deploy")
  .header("X-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"checkpoint_id\": \"<string>\",\n  \"test_model_slug\": \"<string>\",\n  \"agent_id\": \"<string>\",\n  \"model_endpoint_config\": {\n    \"model_path\": \"<string>\",\n    \"max_output_tokens_per_step\": 1,\n    \"max_context_tokens\": 1,\n    \"max_output_tokens\": 1,\n    \"max_turns_per_trajectory\": 125,\n    \"temperature_override\": 1,\n    \"disable_thinking\": true,\n    \"tokenizer_path\": \"<string>\",\n    \"top_p_override\": 0.5,\n    \"top_k_override\": 0\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.trajectory.ai/api/v1/deploy")

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  \"checkpoint_id\": \"<string>\",\n  \"test_model_slug\": \"<string>\",\n  \"agent_id\": \"<string>\",\n  \"model_endpoint_config\": {\n    \"model_path\": \"<string>\",\n    \"max_output_tokens_per_step\": 1,\n    \"max_context_tokens\": 1,\n    \"max_output_tokens\": 1,\n    \"max_turns_per_trajectory\": 125,\n    \"temperature_override\": 1,\n    \"disable_thinking\": true,\n    \"tokenizer_path\": \"<string>\",\n    \"top_p_override\": 0.5,\n    \"top_k_override\": 0\n  }\n}"

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

{
  "deployment_id": "<string>",
  "role": "production"
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "invalid_request",
    "message": "<string>",
    "doc_url": "<string>",
    "context": {},
    "param": "<string>"
  }
}

{
  "error": {
    "type": "billing_error",
    "code": "credits_required",
    "message": "<string>",
    "doc_url": "<string>",
    "context": {},
    "param": "<string>"
  }
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "resource_not_found",
    "message": "<string>",
    "doc_url": "<string>",
    "context": {},
    "param": "<string>"
  }
}

{
  "error": {
    "type": "conflict_error",
    "code": "conflict",
    "message": "<string>",
    "doc_url": "<string>",
    "context": {},
    "param": "<string>"
  }
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "<string>",
    "message": "<string>",
    "doc_url": "<string>",
    "context": {},
    "param": "<string>"
  }
}