curl --request POST \
  --url https://api.trajectory.ai/api/v1/diagnostics/task/run \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "bench_id": "<string>",
  "base_model_slug": "nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16",
  "options": {
    "load_weights_only": true,
    "density_aware_training": true,
    "train_on_truncation": true,
    "train_on_error": true,
    "train_on_timeout": true,
    "val_enabled": true,
    "val_interval_steps": 50,
    "val_num_tasks": 2,
    "val_trajectories_per_task": 2,
    "val_max_concurrent_trajectories": 2,
    "val_final_wait_timeout_seconds": 1,
    "learning_rate": 0.005000005,
    "lr_warmup_steps": 50000,
    "lr_hold_steps": 50000,
    "lr_min_ratio": 0.5,
    "temperature": 1,
    "top_p": 0.5,
    "top_k": 0,
    "val_temperature": 1,
    "val_top_p": 0.5,
    "val_top_k": 0,
    "val_max_output_tokens_per_turn": 131072,
    "val_max_output_tokens_per_trajectory": 1048576,
    "val_max_turns_per_trajectory": 250,
    "val_trajectory_timeout_seconds": 18000,
    "num_steps": 50000,
    "batch_size": 128,
    "group_size": 16,
    "min_trajectories_per_group": 16,
    "max_concurrent_trajectories": 512,
    "max_staleness": 50,
    "train_on_all_fail": true,
    "train_on_all_pass": true,
    "train_on_zero_advantage": true,
    "trajectory_timeout_seconds": 18000,
    "batch_timeout_seconds": 19200,
    "max_output_tokens_per_turn": 131072,
    "max_output_tokens_per_trajectory": 1048576,
    "max_turns_per_trajectory": 250
  }
}
'

import requests

url = "https://api.trajectory.ai/api/v1/diagnostics/task/run"

payload = {
    "bench_id": "<string>",
    "base_model_slug": "nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16",
    "options": {
        "load_weights_only": True,
        "density_aware_training": True,
        "train_on_truncation": True,
        "train_on_error": True,
        "train_on_timeout": True,
        "val_enabled": True,
        "val_interval_steps": 50,
        "val_num_tasks": 2,
        "val_trajectories_per_task": 2,
        "val_max_concurrent_trajectories": 2,
        "val_final_wait_timeout_seconds": 1,
        "learning_rate": 0.005000005,
        "lr_warmup_steps": 50000,
        "lr_hold_steps": 50000,
        "lr_min_ratio": 0.5,
        "temperature": 1,
        "top_p": 0.5,
        "top_k": 0,
        "val_temperature": 1,
        "val_top_p": 0.5,
        "val_top_k": 0,
        "val_max_output_tokens_per_turn": 131072,
        "val_max_output_tokens_per_trajectory": 1048576,
        "val_max_turns_per_trajectory": 250,
        "val_trajectory_timeout_seconds": 18000,
        "num_steps": 50000,
        "batch_size": 128,
        "group_size": 16,
        "min_trajectories_per_group": 16,
        "max_concurrent_trajectories": 512,
        "max_staleness": 50,
        "train_on_all_fail": True,
        "train_on_all_pass": True,
        "train_on_zero_advantage": True,
        "trajectory_timeout_seconds": 18000,
        "batch_timeout_seconds": 19200,
        "max_output_tokens_per_turn": 131072,
        "max_output_tokens_per_trajectory": 1048576,
        "max_turns_per_trajectory": 250
    }
}
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({
    bench_id: '<string>',
    base_model_slug: 'nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16',
    options: {
      load_weights_only: true,
      density_aware_training: true,
      train_on_truncation: true,
      train_on_error: true,
      train_on_timeout: true,
      val_enabled: true,
      val_interval_steps: 50,
      val_num_tasks: 2,
      val_trajectories_per_task: 2,
      val_max_concurrent_trajectories: 2,
      val_final_wait_timeout_seconds: 1,
      learning_rate: 0.005000005,
      lr_warmup_steps: 50000,
      lr_hold_steps: 50000,
      lr_min_ratio: 0.5,
      temperature: 1,
      top_p: 0.5,
      top_k: 0,
      val_temperature: 1,
      val_top_p: 0.5,
      val_top_k: 0,
      val_max_output_tokens_per_turn: 131072,
      val_max_output_tokens_per_trajectory: 1048576,
      val_max_turns_per_trajectory: 250,
      val_trajectory_timeout_seconds: 18000,
      num_steps: 50000,
      batch_size: 128,
      group_size: 16,
      min_trajectories_per_group: 16,
      max_concurrent_trajectories: 512,
      max_staleness: 50,
      train_on_all_fail: true,
      train_on_all_pass: true,
      train_on_zero_advantage: true,
      trajectory_timeout_seconds: 18000,
      batch_timeout_seconds: 19200,
      max_output_tokens_per_turn: 131072,
      max_output_tokens_per_trajectory: 1048576,
      max_turns_per_trajectory: 250
    }
  })
};

fetch('https://api.trajectory.ai/api/v1/diagnostics/task/run', 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/diagnostics/task/run",
  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([
    'bench_id' => '<string>',
    'base_model_slug' => 'nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16',
    'options' => [
        'load_weights_only' => true,
        'density_aware_training' => true,
        'train_on_truncation' => true,
        'train_on_error' => true,
        'train_on_timeout' => true,
        'val_enabled' => true,
        'val_interval_steps' => 50,
        'val_num_tasks' => 2,
        'val_trajectories_per_task' => 2,
        'val_max_concurrent_trajectories' => 2,
        'val_final_wait_timeout_seconds' => 1,
        'learning_rate' => 0.005000005,
        'lr_warmup_steps' => 50000,
        'lr_hold_steps' => 50000,
        'lr_min_ratio' => 0.5,
        'temperature' => 1,
        'top_p' => 0.5,
        'top_k' => 0,
        'val_temperature' => 1,
        'val_top_p' => 0.5,
        'val_top_k' => 0,
        'val_max_output_tokens_per_turn' => 131072,
        'val_max_output_tokens_per_trajectory' => 1048576,
        'val_max_turns_per_trajectory' => 250,
        'val_trajectory_timeout_seconds' => 18000,
        'num_steps' => 50000,
        'batch_size' => 128,
        'group_size' => 16,
        'min_trajectories_per_group' => 16,
        'max_concurrent_trajectories' => 512,
        'max_staleness' => 50,
        'train_on_all_fail' => true,
        'train_on_all_pass' => true,
        'train_on_zero_advantage' => true,
        'trajectory_timeout_seconds' => 18000,
        'batch_timeout_seconds' => 19200,
        'max_output_tokens_per_turn' => 131072,
        'max_output_tokens_per_trajectory' => 1048576,
        'max_turns_per_trajectory' => 250
    ]
  ]),
  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/diagnostics/task/run"

	payload := strings.NewReader("{\n  \"bench_id\": \"<string>\",\n  \"base_model_slug\": \"nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16\",\n  \"options\": {\n    \"load_weights_only\": true,\n    \"density_aware_training\": true,\n    \"train_on_truncation\": true,\n    \"train_on_error\": true,\n    \"train_on_timeout\": true,\n    \"val_enabled\": true,\n    \"val_interval_steps\": 50,\n    \"val_num_tasks\": 2,\n    \"val_trajectories_per_task\": 2,\n    \"val_max_concurrent_trajectories\": 2,\n    \"val_final_wait_timeout_seconds\": 1,\n    \"learning_rate\": 0.005000005,\n    \"lr_warmup_steps\": 50000,\n    \"lr_hold_steps\": 50000,\n    \"lr_min_ratio\": 0.5,\n    \"temperature\": 1,\n    \"top_p\": 0.5,\n    \"top_k\": 0,\n    \"val_temperature\": 1,\n    \"val_top_p\": 0.5,\n    \"val_top_k\": 0,\n    \"val_max_output_tokens_per_turn\": 131072,\n    \"val_max_output_tokens_per_trajectory\": 1048576,\n    \"val_max_turns_per_trajectory\": 250,\n    \"val_trajectory_timeout_seconds\": 18000,\n    \"num_steps\": 50000,\n    \"batch_size\": 128,\n    \"group_size\": 16,\n    \"min_trajectories_per_group\": 16,\n    \"max_concurrent_trajectories\": 512,\n    \"max_staleness\": 50,\n    \"train_on_all_fail\": true,\n    \"train_on_all_pass\": true,\n    \"train_on_zero_advantage\": true,\n    \"trajectory_timeout_seconds\": 18000,\n    \"batch_timeout_seconds\": 19200,\n    \"max_output_tokens_per_turn\": 131072,\n    \"max_output_tokens_per_trajectory\": 1048576,\n    \"max_turns_per_trajectory\": 250\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/diagnostics/task/run")
  .header("X-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"bench_id\": \"<string>\",\n  \"base_model_slug\": \"nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16\",\n  \"options\": {\n    \"load_weights_only\": true,\n    \"density_aware_training\": true,\n    \"train_on_truncation\": true,\n    \"train_on_error\": true,\n    \"train_on_timeout\": true,\n    \"val_enabled\": true,\n    \"val_interval_steps\": 50,\n    \"val_num_tasks\": 2,\n    \"val_trajectories_per_task\": 2,\n    \"val_max_concurrent_trajectories\": 2,\n    \"val_final_wait_timeout_seconds\": 1,\n    \"learning_rate\": 0.005000005,\n    \"lr_warmup_steps\": 50000,\n    \"lr_hold_steps\": 50000,\n    \"lr_min_ratio\": 0.5,\n    \"temperature\": 1,\n    \"top_p\": 0.5,\n    \"top_k\": 0,\n    \"val_temperature\": 1,\n    \"val_top_p\": 0.5,\n    \"val_top_k\": 0,\n    \"val_max_output_tokens_per_turn\": 131072,\n    \"val_max_output_tokens_per_trajectory\": 1048576,\n    \"val_max_turns_per_trajectory\": 250,\n    \"val_trajectory_timeout_seconds\": 18000,\n    \"num_steps\": 50000,\n    \"batch_size\": 128,\n    \"group_size\": 16,\n    \"min_trajectories_per_group\": 16,\n    \"max_concurrent_trajectories\": 512,\n    \"max_staleness\": 50,\n    \"train_on_all_fail\": true,\n    \"train_on_all_pass\": true,\n    \"train_on_zero_advantage\": true,\n    \"trajectory_timeout_seconds\": 18000,\n    \"batch_timeout_seconds\": 19200,\n    \"max_output_tokens_per_turn\": 131072,\n    \"max_output_tokens_per_trajectory\": 1048576,\n    \"max_turns_per_trajectory\": 250\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.trajectory.ai/api/v1/diagnostics/task/run")

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  \"bench_id\": \"<string>\",\n  \"base_model_slug\": \"nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16\",\n  \"options\": {\n    \"load_weights_only\": true,\n    \"density_aware_training\": true,\n    \"train_on_truncation\": true,\n    \"train_on_error\": true,\n    \"train_on_timeout\": true,\n    \"val_enabled\": true,\n    \"val_interval_steps\": 50,\n    \"val_num_tasks\": 2,\n    \"val_trajectories_per_task\": 2,\n    \"val_max_concurrent_trajectories\": 2,\n    \"val_final_wait_timeout_seconds\": 1,\n    \"learning_rate\": 0.005000005,\n    \"lr_warmup_steps\": 50000,\n    \"lr_hold_steps\": 50000,\n    \"lr_min_ratio\": 0.5,\n    \"temperature\": 1,\n    \"top_p\": 0.5,\n    \"top_k\": 0,\n    \"val_temperature\": 1,\n    \"val_top_p\": 0.5,\n    \"val_top_k\": 0,\n    \"val_max_output_tokens_per_turn\": 131072,\n    \"val_max_output_tokens_per_trajectory\": 1048576,\n    \"val_max_turns_per_trajectory\": 250,\n    \"val_trajectory_timeout_seconds\": 18000,\n    \"num_steps\": 50000,\n    \"batch_size\": 128,\n    \"group_size\": 16,\n    \"min_trajectories_per_group\": 16,\n    \"max_concurrent_trajectories\": 512,\n    \"max_staleness\": 50,\n    \"train_on_all_fail\": true,\n    \"train_on_all_pass\": true,\n    \"train_on_zero_advantage\": true,\n    \"trajectory_timeout_seconds\": 18000,\n    \"batch_timeout_seconds\": 19200,\n    \"max_output_tokens_per_turn\": 131072,\n    \"max_output_tokens_per_trajectory\": 1048576,\n    \"max_turns_per_trajectory\": 250\n  }\n}"

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

{
  "benchmark_diagnostic_id": "<string>",
  "bench_id": "<string>",
  "status": "pending"
}

{
  "error": {
    "type": "rate_limit_error",
    "code": "concurrency_limit_exceeded",
    "message": "<string>",
    "doc_url": "<string>",
    "context": {
      "resource": "evaluation",
      "limit": 123,
      "usage": 123
    },
    "param": "<string>"
  }
}

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