jevrecipes

Recipe catalog / correction-target

Locate a correction target

Which supplied field or statement is message correcting?

You need to identify which supplied field or statement a message corrects.

Explore this recipe interactively ยท Source and implementation guide

Use correction-target in TypeScript

Install with npm install jev-recipes. Requires Node.js 22.9 or newer and ES modules. Set TYPESAFE_API_KEY in your server environment for live calls, which send input to TypeSafe and use API quota. See the installation guide.

import { correctionTarget } from 'jev-recipes/correction-target';

const result = await correctionTarget({
  "message": "The billing email is [email protected], not [email protected].",
  "targets": [
    {
      "id": "billing-email",
      "text": "Billing email: [email protected]"
    },
    {
      "id": "shipping-city",
      "text": "Shipping city: Portland"
    }
  ]
});
console.log(result);

Input contract

FieldTypeNeeded
messagestringRequired
targetsarrayRequired
contextstringOptional
minConfidencenumberOptional
Full input and result schemas
{
  "input": {
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "type": "object",
    "properties": {
      "message": {
        "type": "string"
      },
      "targets": {
        "minItems": 1,
        "maxItems": 50,
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "id": {
              "type": "string"
            },
            "text": {
              "type": "string"
            }
          },
          "required": [
            "id",
            "text"
          ]
        }
      },
      "context": {
        "type": "string"
      },
      "minConfidence": {
        "type": "number",
        "minimum": 0,
        "maximum": 1
      }
    },
    "required": [
      "message",
      "targets"
    ]
  },
  "result": {
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "type": "object",
    "properties": {
      "model": {
        "type": "string"
      },
      "usage": {
        "type": "object",
        "properties": {
          "input_tokens": {
            "type": "integer",
            "minimum": 0,
            "maximum": 9007199254740991
          },
          "output_tokens": {
            "type": "integer",
            "minimum": 0,
            "maximum": 9007199254740991
          }
        },
        "required": [
          "input_tokens",
          "output_tokens"
        ],
        "additionalProperties": false
      },
      "status": {
        "type": "string",
        "enum": [
          "ready",
          "review"
        ]
      },
      "verdict": {
        "type": "string",
        "enum": [
          "matched",
          "none",
          "ambiguous"
        ]
      },
      "selection": {
        "type": [
          "string",
          "null"
        ]
      },
      "suggestedSelection": {
        "type": [
          "string",
          "null"
        ]
      },
      "confidence": {
        "type": "number",
        "minimum": 0,
        "maximum": 1
      },
      "probabilities": {
        "type": "object",
        "properties": {
          "candidates": {
            "type": "object",
            "propertyNames": {
              "type": "string"
            },
            "additionalProperties": {
              "type": "number",
              "minimum": 0,
              "maximum": 1
            }
          },
          "none": {
            "type": "number",
            "minimum": 0,
            "maximum": 1
          },
          "ambiguous": {
            "type": "number",
            "minimum": 0,
            "maximum": 1
          }
        },
        "required": [
          "candidates",
          "none",
          "ambiguous"
        ],
        "additionalProperties": false
      }
    },
    "required": [
      "model",
      "usage",
      "status",
      "verdict",
      "selection",
      "suggestedSelection",
      "confidence",
      "probabilities"
    ],
    "additionalProperties": false
  }
}

Saved example result

This hand-authored response demonstrates the contract. It is not a model accuracy measurement. Run it without an API key: npx jev-recipes demo correction-target.

{
  "model": "demo-fixture",
  "usage": {
    "input_tokens": 0,
    "output_tokens": 0
  },
  "status": "ready",
  "verdict": "matched",
  "selection": "billing-email",
  "suggestedSelection": "billing-email",
  "confidence": 0.96,
  "probabilities": {
    "candidates": {
      "billing-email": 1,
      "shipping-city": 0
    },
    "none": 0,
    "ambiguous": 0
  }
}

Evaluation evidence

Fixture only

No verified live accuracy measurement is available. Evaluate representative cases before using this decision in your workflow.

Use the evaluation guide to measure this decision on your own labeled cases.

Limitations

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