{
	"model_id": "openai/decisions",
	"provider_id": "openai",
	"name": "Decisions",
	"description": "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.",
	"task": "Text Generation",
	"tags": [
		"Classification",
		"Multimodal"
	],
	"context_length": 1050000,
	"max_output_tokens": null,
	"schema_version": "1.0.0",
	"pricing": {
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	"examples": [
		{
			"name": "Check a condition",
			"description": "Estimate whether a statement satisfies a condition",
			"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"
					}
				]
			},
			"output": {
				"model": "gpt-6-luna",
				"answers": [
					{
						"type": "predicate",
						"name": "billing_issue",
						"probability": 1
					}
				],
				"usage": {
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			},
			"raw_response": {
				"model": "gpt-6-luna",
				"answers": [
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						"type": "predicate",
						"name": "billing_issue",
						"probability": 1
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				"usage": {
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			"code_snippets": [
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					"label": "typescript",
					"language": "typescript",
					"code": "const response = await env.AI.run(\n  'openai/decisions',\n  {\n    input: 'The customer reports that their card was charged twice for one order.',\n    questions: [\n      {\n        instructions: 'Is this report about a billing problem?',\n        name: 'billing_issue',\n        type: 'predicate',\n      },\n    ],\n  },\n)\nconsole.log(response)"
				},
				{
					"label": "curl",
					"language": "bash",
					"code": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run \\\n  --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n  --header \"Content-Type: application/json\" \\\n  --data '{\n  \"model\": \"openai/decisions\",\n  \"input\": {\n    \"input\": \"The customer reports that their card was charged twice for one order.\",\n    \"questions\": [\n      {\n        \"instructions\": \"Is this report about a billing problem?\",\n        \"name\": \"billing_issue\",\n        \"type\": \"predicate\"\n      }\n    ]\n  }\n}'"
				}
			]
		},
		{
			"name": "Select a category",
			"description": "Route a customer request to one of several departments",
			"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"
					}
				]
			},
			"output": {
				"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": {
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					"total_tokens": 149
				}
			},
			"raw_response": {
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						"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": {
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			"code_snippets": [
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					"label": "typescript",
					"language": "typescript",
					"code": "const response = await env.AI.run(\n  'openai/decisions',\n  {\n    input: 'My package was expected yesterday, but tracking has not updated.',\n    questions: [\n      {\n        choices: [\n          { description: 'Payments, invoices, and refunds.', value: 'billing' },\n          { description: 'Problems using the product.', value: 'technical' },\n          { description: 'Delivery and tracking.', value: 'shipping' },\n          { description: 'Requests outside these categories.', value: 'other' },\n        ],\n        instructions: 'Which department should handle this request?',\n        name: 'department',\n        type: 'choice',\n      },\n    ],\n  },\n)\nconsole.log(response)"
				},
				{
					"label": "curl",
					"language": "bash",
					"code": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run \\\n  --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n  --header \"Content-Type: application/json\" \\\n  --data '{\n  \"model\": \"openai/decisions\",\n  \"input\": {\n    \"input\": \"My package was expected yesterday, but tracking has not updated.\",\n    \"questions\": [\n      {\n        \"choices\": [\n          {\n            \"description\": \"Payments, invoices, and refunds.\",\n            \"value\": \"billing\"\n          },\n          {\n            \"description\": \"Problems using the product.\",\n            \"value\": \"technical\"\n          },\n          {\n            \"description\": \"Delivery and tracking.\",\n            \"value\": \"shipping\"\n          },\n          {\n            \"description\": \"Requests outside these categories.\",\n            \"value\": \"other\"\n          }\n        ],\n        \"instructions\": \"Which department should handle this request?\",\n        \"name\": \"department\",\n        \"type\": \"choice\"\n      }\n    ]\n  }\n}'"
				}
			]
		},
		{
			"name": "Score against a rubric",
			"description": "Score an issue against ordered severity levels",
			"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"
					}
				]
			},
			"output": {
				"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
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						],
						"confidence": 0.96
					}
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			"raw_response": {
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				"answers": [
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								"value": 0,
								"label": "Cosmetic",
								"probability": 0.02
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								"value": 1,
								"label": "Workaround available",
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			"code_snippets": [
				{
					"label": "typescript",
					"language": "typescript",
					"code": "const response = await env.AI.run(\n  'openai/decisions',\n  {\n    input: 'Export fails in Safari but works in Chrome.',\n    questions: [\n      {\n        instructions: 'How severe is this issue?',\n        levels: [\n          { description: 'Appearance only; no lost functionality.', label: 'Cosmetic' },\n          { description: 'A task fails, but another way works.', label: 'Workaround available' },\n          { description: 'A task fails with no workaround.', label: 'Fully blocked' },\n        ],\n        name: 'severity',\n        type: 'score',\n      },\n    ],\n  },\n)\nconsole.log(response)"
				},
				{
					"label": "curl",
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				}
			]
		}
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		"API": "Decisions",
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		"Model": "GPT-6 Luna",
		"Question types": "Predicate, choice, score",
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											"additionalProperties": false
										}
									}
								},
								"required": [
									"name",
									"type",
									"score",
									"confidence",
									"probabilities"
								],
								"additionalProperties": false
							},
							{
								"type": "object",
								"properties": {
									"name": {
										"type": [
											"string",
											"null"
										]
									},
									"type": {
										"type": "string",
										"const": "refusal"
									}
								},
								"required": [
									"name",
									"type"
								],
								"additionalProperties": false
							}
						]
					}
				},
				"model": {
					"type": "string"
				},
				"usage": {
					"type": "object",
					"properties": {
						"input_tokens": {
							"type": "number"
						},
						"input_tokens_details": {
							"type": "object",
							"properties": {
								"cache_write_tokens": {
									"type": "number"
								},
								"cached_tokens": {
									"type": "number"
								}
							},
							"required": [
								"cache_write_tokens",
								"cached_tokens"
							],
							"additionalProperties": false
						},
						"output_tokens": {
							"type": "number"
						},
						"output_tokens_details": {
							"type": "object",
							"properties": {
								"reasoning_tokens": {
									"type": "number"
								}
							},
							"required": [
								"reasoning_tokens"
							],
							"additionalProperties": false
						},
						"total_tokens": {
							"type": "number"
						}
					},
					"required": [
						"input_tokens",
						"input_tokens_details",
						"output_tokens",
						"output_tokens_details",
						"total_tokens"
					],
					"additionalProperties": false
				}
			},
			"required": [
				"answers",
				"model",
				"usage"
			],
			"additionalProperties": false
		}
	}
}