Create training job

curl --request POST \
  --url https://api.veri.studio/v1/training_jobs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "output_name": "<string>",
  "gpu": {
    "gpu_type": "<string>",
    "gpu_count": 123
  },
  "job_type": "<string>",
  "base_model": "<string>",
  "dataset_id": "<string>",
  "script": {
    "base_image": "<string>",
    "code_artifact_id": "<string>",
    "entrypoint": "<string>",
    "deps": {
      "kind": "<string>",
      "content": "<string>"
    },
    "env": {}
  },
  "reward_function_id": "<string>",
  "reward_function_ids": [
    "<string>"
  ],
  "reward_weights": [
    123
  ],
  "method": "<string>",
  "hyperparameters": "<unknown>",
  "provider": "<string>",
  "checkpoint_destination": {
    "uri": "<string>",
    "credentials": "<unknown>"
  },
  "environments": {},
  "requires_heartbeat": true,
  "volume": "<string>",
  "region": "<string>",
  "num_nodes": 123
}
'

import requests

url = "https://api.veri.studio/v1/training_jobs"

payload = {
    "output_name": "<string>",
    "gpu": {
        "gpu_type": "<string>",
        "gpu_count": 123
    },
    "job_type": "<string>",
    "base_model": "<string>",
    "dataset_id": "<string>",
    "script": {
        "base_image": "<string>",
        "code_artifact_id": "<string>",
        "entrypoint": "<string>",
        "deps": {
            "kind": "<string>",
            "content": "<string>"
        },
        "env": {}
    },
    "reward_function_id": "<string>",
    "reward_function_ids": ["<string>"],
    "reward_weights": [123],
    "method": "<string>",
    "hyperparameters": "<unknown>",
    "provider": "<string>",
    "checkpoint_destination": {
        "uri": "<string>",
        "credentials": "<unknown>"
    },
    "environments": {},
    "requires_heartbeat": True,
    "volume": "<string>",
    "region": "<string>",
    "num_nodes": 123
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    output_name: '<string>',
    gpu: {gpu_type: '<string>', gpu_count: 123},
    job_type: '<string>',
    base_model: '<string>',
    dataset_id: '<string>',
    script: {
      base_image: '<string>',
      code_artifact_id: '<string>',
      entrypoint: '<string>',
      deps: {kind: '<string>', content: '<string>'},
      env: {}
    },
    reward_function_id: '<string>',
    reward_function_ids: ['<string>'],
    reward_weights: [123],
    method: '<string>',
    hyperparameters: '<unknown>',
    provider: '<string>',
    checkpoint_destination: {uri: '<string>', credentials: '<unknown>'},
    environments: {},
    requires_heartbeat: true,
    volume: '<string>',
    region: '<string>',
    num_nodes: 123
  })
};

fetch('https://api.veri.studio/v1/training_jobs', 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"
}