Cancel training job

curl --request POST \
  --url https://api.veri.studio/v1/training_jobs/{job_id}/cancel \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.veri.studio/v1/training_jobs/{job_id}/cancel"

headers = {"Authorization": "Bearer <token>"}

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

print(response.text)

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.veri.studio/v1/training_jobs/{job_id}/cancel', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "object": "<string>",
  "id": "<string>",
  "method": "<string>",
  "output_name": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "base_model": "<string>",
  "dataset_id": "<string>",
  "reward_function_id": "<string>",
  "hyperparameters": {
    "learning_rate": 123,
    "num_epochs": 123,
    "max_steps": 123,
    "rollouts_per_prompt": 123,
    "kl_coef": 123,
    "max_prompt_length": 123,
    "max_response_length": 123,
    "global_batch_size": 123,
    "seed": 123,
    "use_unsloth": true,
    "lora_rank": 123,
    "lora_alpha": 123,
    "load_in_4bit": true,
    "max_turns": 123,
    "max_seq_len": 123
  },
  "base_image": "<string>",
  "entrypoint": "<string>",
  "gpu": {
    "type": "<string>",
    "count": 123
  },
  "gpu_requested": {
    "type": "<string>",
    "count": 123
  },
  "provider": "<string>",
  "region": "<string>",
  "num_nodes": 123,
  "error": {
    "code": "<string>",
    "message": "<string>"
  },
  "dashboard_url": "<string>",
  "download_url": "<string>",
  "wandb_run_url": "<string>",
  "current_step": 123,
  "total_steps": 123,
  "current_loss": 123,
  "cost_usd": 123,
  "duration_seconds": 123,
  "started_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z"
}