Create prompt-tuning job

curl --request POST \
  --url https://api.sqwish.ai/v1/prompt-tuning/jobs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "dataset_id": "<string>",
  "decision": "<string>",
  "model": "<string>",
  "effort": "standard",
  "max_price_usd": "<string>"
}
'

import requests

url = "https://api.sqwish.ai/v1/prompt-tuning/jobs"

payload = {
    "dataset_id": "<string>",
    "decision": "<string>",
    "model": "<string>",
    "effort": "standard",
    "max_price_usd": "<string>"
}
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({
    dataset_id: '<string>',
    decision: '<string>',
    model: '<string>',
    effort: 'standard',
    max_price_usd: '<string>'
  })
};

fetch('https://api.sqwish.ai/v1/prompt-tuning/jobs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "id": "<string>",
  "object": "prompt_tuning.job",
  "status": "queued",
  "dataset_id": "<string>",
  "model": "<string>",
  "decision": "<string>",
  "effort": "standard",
  "price_usd": "<string>",
  "charge": "free",
  "test_looks": 123,
  "progress": {
    "phase": "<string>",
    "round": 123,
    "rounds": 123,
    "original_loss": 123,
    "best_loss": 123
  },
  "result": {
    "verdict": "improved",
    "tuned": {
      "id": "<string>",
      "question": "<string>",
      "kind": "single",
      "outcomes": "<unknown>",
      "rubric": [
        "<unknown>"
      ],
      "policy": {
        "action_costs": {},
        "abstain_below": 0.5
      }
    },
    "candidate": {
      "id": "<string>",
      "question": "<string>",
      "kind": "single",
      "outcomes": "<unknown>",
      "rubric": [
        "<unknown>"
      ],
      "policy": {
        "action_costs": {},
        "abstain_below": 0.5
      }
    },
    "changes": [
      {
        "part": "<string>",
        "before": "<string>",
        "after": "<string>"
      }
    ],
    "label_issues": [
      {
        "row": "<string>",
        "reason": "<string>"
      }
    ],
    "original": {
      "id": "<string>",
      "question": "<string>",
      "kind": "single",
      "outcomes": "<unknown>",
      "rubric": [
        "<unknown>"
      ],
      "policy": {
        "action_costs": {},
        "abstain_below": 0.5
      }
    },
    "decision": "<string>",
    "rows": 123,
    "rows_left_out": 123,
    "noise_band": 123,
    "rounds": [
      {
        "round": 123,
        "best_loss": 123
      }
    ],
    "reasons": [
      "<string>"
    ],
    "test": {}
  },
  "created_at": 123,
  "updated_at": 123,
  "error": "<string>",
  "label_issues_dismissed_at": 123
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "request_id": "<string>",
    "details": [
      {
        "path": [
          "<string>"
        ],
        "message": "<string>",
        "type": "<string>"
      }
    ]
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>",
    "retryable": true,
    "request_id": "<string>",
    "details": [
      {
        "path": [
          "<string>"
        ],
        "message": "<string>",
        "type": "<string>"
      }
    ]
  }
}