Lint decisions - OneHot

POST

/

v1

/

lint

Lint decisions

curl --request POST \
  --url https://api.sqwish.ai/v1/lint \
  --header 'Content-Type: application/json' \
  --data '
{
  "decisions": [
    {
      "id": "<string>",
      "question": "<string>",
      "kind": "single",
      "outcomes": "<unknown>",
      "rubric": [
        "<unknown>"
      ],
      "policy": {
        "action_costs": {},
        "abstain_below": 0.5
      }
    }
  ],
  "model": "<string>",
  "context": "",
  "images": [
    {
      "id": 32,
      "data": "<string>"
    }
  ],
  "temperature": 2.6
}
'

import requests

url = "https://api.sqwish.ai/v1/lint"

payload = {
    "decisions": [
        {
            "id": "<string>",
            "question": "<string>",
            "kind": "single",
            "outcomes": "<unknown>",
            "rubric": ["<unknown>"],
            "policy": {
                "action_costs": {},
                "abstain_below": 0.5
            }
        }
    ],
    "model": "<string>",
    "context": "",
    "images": [
        {
            "id": 32,
            "data": "<string>"
        }
    ],
    "temperature": 2.6
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    decisions: [
      {
        id: '<string>',
        question: '<string>',
        kind: 'single',
        outcomes: '<unknown>',
        rubric: ['<unknown>'],
        policy: {action_costs: {}, abstain_below: 0.5}
      }
    ],
    model: '<string>',
    context: '',
    images: [{id: 32, data: '<string>'}],
    temperature: 2.6
  })
};

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

{
  "warnings": [
    {
      "decision": "<string>",
      "rule": "<string>",
      "severity": "<string>",
      "message": "<string>"
    }
  ]
}

{
  "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>"
      }
    ]
  }
}

Body

application/json

decisions

Decision · object[]

required

Required array length: 1 - 128 elements

Show child attributes

model

string | null

Required string length: 1 - 128

context

default:""

images

ImageIn · object[] | null

Up to 8 images the decisions are about, each shown where the context says <image:id>. The context must then be a string with an anchor for each image. fat and chub (kettei-fat, kettei-chub) read images; other models refuse them with images_not_supported. The model reads at most 2,097,152 pixels of an image, so one with more only takes longer to upload: shrink each to fit, and send a photo as JPEG.

Required array length: 1 - 8 elements

Show child attributes

fallback

Available options:

auto,

none

temperature

number | null

The temperature T of every answer of this request: probabilities become p^(1/T), renormalised, so below 1 they are sharper and above 1 softer. The top answer never changes. Leave it out for the model's own default for each kind of decision; send 1 for the probabilities exactly as the engine scored them.

Required range: 0.2 <= x <= 5

Response

Successful Response

warnings

LintWarning · object[]

required

Show child attributes

Lint decisions

curl --request POST \
  --url https://api.sqwish.ai/v1/lint \
  --header 'Content-Type: application/json' \
  --data '
{
  "decisions": [
    {
      "id": "<string>",
      "question": "<string>",
      "kind": "single",
      "outcomes": "<unknown>",
      "rubric": [
        "<unknown>"
      ],
      "policy": {
        "action_costs": {},
        "abstain_below": 0.5
      }
    }
  ],
  "model": "<string>",
  "context": "",
  "images": [
    {
      "id": 32,
      "data": "<string>"
    }
  ],
  "temperature": 2.6
}
'

import requests

url = "https://api.sqwish.ai/v1/lint"

payload = {
    "decisions": [
        {
            "id": "<string>",
            "question": "<string>",
            "kind": "single",
            "outcomes": "<unknown>",
            "rubric": ["<unknown>"],
            "policy": {
                "action_costs": {},
                "abstain_below": 0.5
            }
        }
    ],
    "model": "<string>",
    "context": "",
    "images": [
        {
            "id": 32,
            "data": "<string>"
        }
    ],
    "temperature": 2.6
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    decisions: [
      {
        id: '<string>',
        question: '<string>',
        kind: 'single',
        outcomes: '<unknown>',
        rubric: ['<unknown>'],
        policy: {action_costs: {}, abstain_below: 0.5}
      }
    ],
    model: '<string>',
    context: '',
    images: [{id: 32, data: '<string>'}],
    temperature: 2.6
  })
};

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

{
  "warnings": [
    {
      "decision": "<string>",
      "rule": "<string>",
      "severity": "<string>",
      "message": "<string>"
    }
  ]
}

{
  "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>"
      }
    ]
  }
}