Recipe catalog / failure-kind
Classify a described failure
Which supplied category best describes the observed failure?
You need to assign an observed failure to one of your supplied categories.
Explore this recipe interactively ยท Source and implementation guide
Use failure-kind 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 { failureKind } from 'jev-recipes/failure-kind';
const result = await failureKind({
"failure": "The export was rejected because the report name is missing.",
"categories": [
{
"id": "missing-input",
"text": "A required input was not supplied."
},
{
"id": "temporary",
"text": "A temporary service interruption prevented the operation."
}
]
});
console.log(result);
Input contract
| Field | Type | Needed |
|---|---|---|
| failure | string | Required |
| categories | array | Required |
| context | string | Optional |
| minConfidence | number | Optional |
Full input and result schemas
{
"input": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"failure": {
"type": "string"
},
"categories": {
"minItems": 1,
"maxItems": 50,
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"text": {
"type": "string"
}
},
"required": [
"id",
"text"
]
}
},
"context": {
"type": "string"
},
"minConfidence": {
"type": "number",
"minimum": 0,
"maximum": 1
}
},
"required": [
"failure",
"categories"
]
},
"result": {
"$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 failure-kind.
{
"model": "demo-fixture",
"usage": {
"input_tokens": 0,
"output_tokens": 0
},
"status": "ready",
"verdict": "matched",
"selection": "missing-input",
"suggestedSelection": "missing-input",
"confidence": 0.96,
"probabilities": {
"candidates": {
"missing-input": 1,
"temporary": 0
},
"none": 0,
"ambiguous": 0
}
}
Evaluation evidence
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
- Maps text to your categories. Use structured error codes first; this recipe does not diagnose a root cause or initiate retries.
- Supply 1 to 50 items per list, each with a unique non-empty ID and non-empty text.
Related recipes
- result-outcome: Use result-outcome when first determining what a result reports.