jevrecipes

Recipe catalog / incident-match

Match a known incident

Which supplied incident is supported as a match for ticket?

You need to connect a support ticket to a supplied known incident.

Explore this recipe interactively ยท Source and implementation guide

Use incident-match 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 { incidentMatch } from 'jev-recipes/incident-match';

const result = await incidentMatch({
  "ticket": "Workspace exports fail with EXPORT_TIMEOUT.",
  "incidents": [
    {
      "id": "exports",
      "text": "Active incident: workspace exports fail with EXPORT_TIMEOUT."
    },
    {
      "id": "billing",
      "text": "Active incident: invoices appear with a delay."
    }
  ]
});
console.log(result);

Input contract

FieldTypeNeeded
ticketstringRequired
incidentsarrayRequired
contextstringOptional
minConfidencenumberOptional
Full input and result schemas
{
  "input": {
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "type": "object",
    "properties": {
      "ticket": {
        "type": "string"
      },
      "incidents": {
        "minItems": 1,
        "maxItems": 50,
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "id": {
              "type": "string"
            },
            "text": {
              "type": "string"
            }
          },
          "required": [
            "id",
            "text"
          ]
        }
      },
      "context": {
        "type": "string"
      },
      "minConfidence": {
        "type": "number",
        "minimum": 0,
        "maximum": 1
      }
    },
    "required": [
      "ticket",
      "incidents"
    ]
  },
  "result": {
    "$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 incident-match.

{
  "model": "demo-fixture",
  "usage": {
    "input_tokens": 0,
    "output_tokens": 0
  },
  "status": "ready",
  "verdict": "matched",
  "selection": "exports",
  "suggestedSelection": "exports",
  "confidence": 0.96,
  "probabilities": {
    "candidates": {
      "exports": 1,
      "billing": 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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