Decisions

Third-party

Decisions uses GPT-6 Luna to evaluate shared text or image evidence against typed questions. It returns probabilities, fixed choices, or rubric scores for low-latency classification, routing, and prioritization workflows.

Model Info
Context Window ↗	1,050,000 tokens
Terms and License	link ↗
More information	link ↗
Pricing	Input (per 1M tokens)$0.10 Output (per 1M tokens)$0.00

Usage

const response = await env.AI.run(
  'openai/decisions',
  {
    input: 'The customer reports that their card was charged twice for one order.',
    questions: [
      {
        instructions: 'Is this report about a billing problem?',
        name: 'billing_issue',
        type: 'predicate',
      },
    ],
  },
)
console.log(response)

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run \
  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "openai/decisions",
  "input": {
    "input": "The customer reports that their card was charged twice for one order.",
    "questions": [
      {
        "instructions": "Is this report about a billing problem?",
        "name": "billing_issue",
        "type": "predicate"
      }
    ]
  }
}'

{
  "model": "gpt-6-luna",
  "answers": [
    {
      "type": "predicate",
      "name": "billing_issue",
      "probability": 1
    }
  ],
  "usage": {
    "input_tokens": 169,
    "input_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 0
    },
    "output_tokens": 0,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 169
  }
}

Examples

Select a category — Route a customer request to one of several departments

const response = await env.AI.run(
  'openai/decisions',
  {
    input: 'My package was expected yesterday, but tracking has not updated.',
    questions: [
      {
        choices: [
          { description: 'Payments, invoices, and refunds.', value: 'billing' },
          { description: 'Problems using the product.', value: 'technical' },
          { description: 'Delivery and tracking.', value: 'shipping' },
          { description: 'Requests outside these categories.', value: 'other' },
        ],
        instructions: 'Which department should handle this request?',
        name: 'department',
        type: 'choice',
      },
    ],
  },
)
console.log(response)

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run \
  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "openai/decisions",
  "input": {
    "input": "My package was expected yesterday, but tracking has not updated.",
    "questions": [
      {
        "choices": [
          {
            "description": "Payments, invoices, and refunds.",
            "value": "billing"
          },
          {
            "description": "Problems using the product.",
            "value": "technical"
          },
          {
            "description": "Delivery and tracking.",
            "value": "shipping"
          },
          {
            "description": "Requests outside these categories.",
            "value": "other"
          }
        ],
        "instructions": "Which department should handle this request?",
        "name": "department",
        "type": "choice"
      }
    ]
  }
}'

{
  "model": "gpt-6-luna",
  "answers": [
    {
      "type": "choice",
      "name": "department",
      "choice": "shipping",
      "probabilities": [
        {
          "value": "billing",
          "probability": 0
        },
        {
          "value": "technical",
          "probability": 0.01
        },
        {
          "value": "shipping",
          "probability": 0.99
        },
        {
          "value": "other",
          "probability": 0
        }
      ],
      "confidence": 0.99
    }
  ],
  "usage": {
    "input_tokens": 149,
    "input_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 0
    },
    "output_tokens": 0,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 149
  }
}

Score against a rubric — Score an issue against ordered severity levels

const response = await env.AI.run(
  'openai/decisions',
  {
    input: 'Export fails in Safari but works in Chrome.',
    questions: [
      {
        instructions: 'How severe is this issue?',
        levels: [
          { description: 'Appearance only; no lost functionality.', label: 'Cosmetic' },
          { description: 'A task fails, but another way works.', label: 'Workaround available' },
          { description: 'A task fails with no workaround.', label: 'Fully blocked' },
        ],
        name: 'severity',
        type: 'score',
      },
    ],
  },
)
console.log(response)

curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run \
  --header "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "openai/decisions",
  "input": {
    "input": "Export fails in Safari but works in Chrome.",
    "questions": [
      {
        "instructions": "How severe is this issue?",
        "levels": [
          {
            "description": "Appearance only; no lost functionality.",
            "label": "Cosmetic"
          },
          {
            "description": "A task fails, but another way works.",
            "label": "Workaround available"
          },
          {
            "description": "A task fails with no workaround.",
            "label": "Fully blocked"
          }
        ],
        "name": "severity",
        "type": "score"
      }
    ]
  }
}'

{
  "model": "gpt-6-luna",
  "answers": [
    {
      "type": "score",
      "name": "severity",
      "score": 0.99,
      "probabilities": [
        {
          "value": 0,
          "label": "Cosmetic",
          "probability": 0.02
        },
        {
          "value": 1,
          "label": "Workaround available",
          "probability": 0.97
        },
        {
          "value": 2,
          "label": "Fully blocked",
          "probability": 0.01
        }
      ],
      "confidence": 0.96
    }
  ],
  "usage": {
    "input_tokens": 146,
    "input_tokens_details": {
      "cached_tokens": 0,
      "cache_write_tokens": 0
    },
    "output_tokens": 0,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 146
  }
}

Parameters

▶input

one ofrequired

▶questions[]

arrayrequiredminItems: 1maxItems: 200

prompt_cache_key

string

prompt_cache_options

object | null

safety_identifier

string

▶answers[]

array

model

string

▶usage{}

object

API Schemas (Raw)

Input

Output