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The explainable agent framework — backtrack a wrong answer to the exact context that caused it (evidence, not guesses). Built on footprintjs.
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JavaScript
;
/**
* extract — which tokens in an answer are DATA, and therefore have to be
* grounded in a tool result.
*
* Pattern: a pure classifier over normalized tokens and the small shared
* range/precision leaves, so it can be unit-tested on strings with no agent, no
* chart and no model.
* Role: core/ layer. The hard half of `namesAndNumbersFromEvidence`.
* Emits: N/A.
*
* ## The rule, and why every part of it is there
*
* A naive "flag every number" extractor makes the feature worse than useless.
* It flags `24 hours`, `3 issues` and `first`, and under `guard` it then spends
* a real turn asking the model to justify the word "three" — which is the
* retry loop this library exists to remove. So the default is CONSERVATIVE: it
* would rather miss a fabricated value than accuse a correct answer.
*
* A token is a candidate only if:
*
* 1. **It contains a digit.** English prose is alphabetic. Requiring a digit
* is the single cheapest separator between "data someone read off a
* screen" and "a word". It is also the rule's biggest blind spot, stated
* plainly: a fabricated all-letters name (`esxi-host-alpha`) is invisible
* to the default and needs a declared shape.
* 2. **It is distinctive.** Either
* • an IDENTIFIER — digits mixed with letters or with structural
* punctuation (`:` `_` `-` `/` `.`), at least 4 characters:
* `0xef0101`, `fc1/3`, `21:00:00:24:ff:4a:12:03`, `UCSB-B200-M5`; or
* • a NUMBER with at least `minDigits` (default 4) digits: `41,200`,
* `18450`, `786432`.
* 3. **It is not prose wearing a number.** Three exclusions, each from a
* real sentence in the material:
* • a number with a short unit or word glued to it — `32G`, `100MB`,
* `47th`, `2h`, `48-port`, `$20/month` — is judged on its NUMBER
* alone, so `48-port switch` never trips while `41200iops` still
* does;
* • a bare `N/M` of one or two digits each — `24/7`, `1/2` — is a ratio
* in prose. A two-number port id is spelled the same way, so the
* conservative reading wins and a domain that needs it declares a
* shape;
* • anything the caller declared exempt.
*
* Declared shapes are tested FIRST and win: an app that says "this is what my
* identifiers look like" has better information than these heuristics.
*/
Object.defineProperty(exports, "__esModule", { value: true });
exports.readAnswer = exports.extractCandidates = exports.candidateForms = exports.classifyToken = exports.isDeclaredExempt = void 0;
const normalize_js_1 = require("../../../lib/normalize.js");
const numericRanges_js_1 = require("./numericRanges.js");
const numberPrecision_js_1 = require("./numberPrecision.js");
/** Structural punctuation an identifier is allowed to be built from. */
const STRUCTURAL = /[:_\-/.]/;
/** At least one ASCII letter. */
const HAS_LETTER = /[a-z]/;
/**
* `<number><short tail>` — a quantity with its unit or its adjective stuck to
* it. The tail is capped at 5 letters because real units are short (`mbps`,
* `gbps`, `hours`) while an identifier's alphabetic run is usually not, and an
* optional `/word` covers `20/month` and `100mb/s`.
*/
const NUMBER_WITH_TAIL = /^([-+]?\d+(?:\.\d+)?)[-/]?[a-z]{1,5}(?:\/[a-z]{1,5})?$/;
/** A plain number, already canonicalised by `normalizeToken`. */
const BARE_NUMBER = /^[-+]?\d+(?:\.\d+)?$/;
/** `24/7`, `1/2` — a ratio in prose, not an identifier. */
const PROSE_RATIO = /^\d{1,2}\/\d{1,2}$/;
/** Ceiling on how many tokens one answer contributes. A model that pastes a
* 10 MB table into its answer must not turn the gate into the run's cost.
* Past it nothing is classified or looked up — only COUNTED
* (`AnswerReading.unread`), so a reader never mistakes a partial reading for
* a clean one. */
const MAX_ANSWER_TOKENS = 20_000;
/** True when the caller declared this token exempt. */
function isDeclaredExempt(token, gate) {
if (gate.exemptValues.has(token))
return true;
for (const p of gate.exemptPatterns)
if (p.test(token))
return true;
return false;
}
exports.isDeclaredExempt = isDeclaredExempt;
/**
* Classify ONE normalized token. Returns the candidate it produces, or
* `undefined` when the token is prose.
*
* Exported for the unit tests, which is the whole reason the classifier is a
* function over a string rather than a loop body.
*/
function classifyToken(token, gate,
/** Under the figures dial: the numbers the answer writes wearing a unit
* (`figures.ts` · `figureNumbersOf`). A number in it is a candidate
* whatever its digit count — `53.2%` and `6.3 TB` are readings. */
figures) {
if (token === '')
return undefined;
if (isDeclaredExempt(token, gate))
return undefined;
// Declared shapes first — the app knows its own domain better than the
// heuristics below, including when a shape has no digits at all.
for (const shape of gate.shapes) {
if (shape.match.test(token))
return { value: token, shape: shape.name };
}
// Rule 1 — no digit, no candidate. Prose is alphabetic.
if ((0, normalize_js_1.countDigits)(token) === 0)
return undefined;
// Rule 3 — prose wearing a number.
if (PROSE_RATIO.test(token))
return undefined;
const withTail = NUMBER_WITH_TAIL.exec(token);
const numeric = withTail
? (0, normalize_js_1.normalizeToken)(withTail[1])
: BARE_NUMBER.test(token)
? token
: undefined;
if (numeric !== undefined) {
// A quantity — judged on its digits only, so `32G` and `47th` are prose
// while `41200iops` is still a reading. The glued spelling rides along
// so the lookup can meet a result that carried it that way.
if ((0, normalize_js_1.countDigits)(numeric) < gate.minDigits) {
// A FIGURE — a number wearing a unit of measure — is a reading off a
// screen whatever its length (`figures.ts`, rule 1). Off, never reached.
if (figures?.has(numeric) !== true)
return undefined;
return withTail !== null && token !== numeric
? { value: numeric, shape: 'figure', token }
: { value: numeric, shape: 'figure' };
}
return withTail !== null && token !== numeric
? { value: numeric, shape: 'number', token }
: { value: numeric, shape: 'number' };
}
// Rule 2 — an identifier: digits mixed with letters or structure, long
// enough to be distinctive. `po1` and `a1` are under the bar on purpose.
if (token.length < 4)
return undefined;
if (!HAS_LETTER.test(token) && !STRUCTURAL.test(token))
return undefined;
return { value: token, shape: 'identifier' };
}
exports.classifyToken = classifyToken;
/** A JSON number literal, read where it stands (sticky). */
const JSON_NUMBER = /-?\d+(?:\.\d+)?(?:[eE][+-]?\d+)?/y;
/**
* The texts an answer states, each read on its own. Prose is one text. A
* typed answer — the whole answer one JSON object or array, which is what
* `.outputSchema()` accepts (`JSON.parse` of the answer) — is read value by
* value: every string as text (and every key, unless `valuesOnly`), every
* number as the literal the answer WROTE. Read whole as text, compact JSON
* glues its punctuation onto the values (`[5,100]` read as the
* thousands-separated `5100`, `[0.45,0.12]` as one identifier, `[1200,9750]`
* as no value at all); read through the parsed value, a number is the double
* it parses to (`9007199254740993` is `9007199254740992`, `5.20` is `5.2` and
* loses the precision the rounding rule judges). So the text is checked with
* `JSON.parse` and then read ONCE, left to right: string literals decoded,
* number literals kept as written.
*
* One pass, no recursion (an answer is model output: its nesting is not a
* call depth), yielded lazily: the reader decides how far it classifies and
* counts the rest (`MAX_ANSWER_TOKENS`).
*/
function* answerTexts(answer, valuesOnly) {
const opening = answer.trimStart()[0];
if (opening !== '{' && opening !== '[') {
yield answer;
return;
}
try {
JSON.parse(answer); // the grammar check — the values are read from the text below
}
catch {
yield answer; // not one JSON value: prose, as it always was
return;
}
yield* jsonLiterals(answer, valuesOnly);
}
/**
* The keys (unless `valuesOnly`), strings (decoded) and number literals (as
* written) of a text `JSON.parse` accepted, left to right. Total on any input
* — bounded by the text's length — though only ever handed valid JSON.
*/
function* jsonLiterals(json, valuesOnly) {
let at = 0;
while (at < json.length) {
const ch = json.charCodeAt(at);
if (ch === 0x22 /* " */) {
// The literal ends at the first quote no backslash escapes.
let end = at + 1;
while (end < json.length && json.charCodeAt(end) !== 0x22) {
end += json.charCodeAt(end) === 0x5c /* \ */ ? 2 : 1;
}
const literal = json.slice(at, end + 1);
at = end + 1;
// In JSON a string followed by `:` is a key, and only a key is.
if (valuesOnly && isKeyEnd(json, at))
continue;
yield JSON.parse(literal);
}
else if (ch === 0x2d /* - */ || (ch >= 0x30 && ch <= 0x39)) {
// Outside a string, a digit or a minus only ever starts a number.
JSON_NUMBER.lastIndex = at;
const literal = JSON_NUMBER.exec(json)?.[0] ?? json.charAt(at);
at += literal.length;
yield literal;
}
else {
at += 1; // structure, whitespace, true / false / null
}
}
}
/** The next character after `at` that is not JSON whitespace is `:`. */
function isKeyEnd(json, at) {
let next = at;
while (next < json.length) {
const ch = json.charCodeAt(next);
// JSON whitespace: space, tab, line feed, carriage return.
if (ch !== 0x20 && ch !== 0x09 && ch !== 0x0a && ch !== 0x0d)
break;
next += 1;
}
return json.charCodeAt(next) === 0x3a /* : */;
}
/**
* The spellings a candidate is looked up under: its value's forms
* (`lookupForms` — the `0x` rule), plus the glued-unit token's when the
* value was read off one. The LOOKUP side widens, the index never does: a
* result carrying `1007us` grounds an answer's `1007us`, while a result
* carrying `latency 2024ms` does not ground an answer's prose year `2024`
* — that candidate came from a bare token and asks for `2024` alone. The
* one place both the gate (`gate.ts · checkAnswer`) and the contingent
* check (`findings/contingent.ts`) take a candidate's forms from.
*/
function candidateForms(candidate) {
const forms = [...(0, normalize_js_1.lookupForms)(candidate.value)];
for (const token of [candidate.token, candidate.rangeToken]) {
if (token === undefined)
continue;
for (const form of (0, normalize_js_1.lookupForms)(token))
if (!forms.includes(form))
forms.push(form);
}
return forms;
}
exports.candidateForms = candidateForms;
/**
* Under `decimalRounding`: the number a standalone scientific spelling states
* (`numberPrecision.ts` · `scientificDecimalOf`), as a number candidate —
* whatever its digit count, like a plain decimal under the dial. It is looked
* up under its exact decimal (`0.0112` for `1.12e-2`) and under its own
* spelling (`token`, which a result may have printed as it is), and, when it
* is a fraction, rounded at the precision it was written with (`1.12e-2` is
* four places, `0.0112`). The spelling is read with its `%` kept, so a
* percentage is never read as the fraction (`1.12e-2%`). `undefined` for any
* other spelling, and for one outside the bounds: it stays what the
* classifier makes of it.
*/
function scientificCandidateOf(spelling, token) {
const decimal = (0, numberPrecision_js_1.scientificDecimalOf)(spelling);
if (decimal === undefined)
return undefined;
const value = (0, normalize_js_1.normalizeToken)(decimal.exact);
return {
value,
shape: 'number',
...(token !== value && { token }),
...(decimal.written !== undefined && { decimalSpelling: decimal.written }),
};
}
/**
* Every distinct value the answer asserts, in first-appearance order.
*
* De-duplicated by value: a port named six times is one claim to ground, and
* a correction that lists it six times reads like noise. A typed answer is
* read value by value (`answerTexts`).
*/
function extractCandidates(answer, gate,
/** Under the figures dial: the numbers the answer writes wearing a unit
* (`figures.ts` · `figureNumbersOf`, computed by the caller that loaded
* it — the module stays off a plain agent's graph). */
figures,
/** A read-only exact-token view supplied by the caller's corpus. Whole
* carried values win before a numeric range is interpreted as endpoints. */
exactTokens) {
return readAnswer(answer, gate, { figures, exactTokens }).candidates;
}
exports.extractCandidates = extractCandidates;
/**
* Read one answer: the values it asserts (`extractCandidates`), and how many
* of its words and numbers lay past the ceiling, never read. The reading
* stops CLASSIFYING at `MAX_ANSWER_TOKENS`; it never stops counting.
*/
function readAnswer(answer, gate, options = {}) {
const { figures, exactTokens, typed = false } = options;
const seen = new Map();
const out = [];
let budget = MAX_ANSWER_TOKENS;
let unread = 0;
const record = (candidate) => {
if (candidate === undefined)
return;
const prior = seen.get(candidate.value);
if (prior !== undefined) {
// One value may be written at two precisions. Check the stricter one;
// an earlier coarse spelling cannot launder a later overprecise claim.
const previous = out[prior];
if (candidate.decimalSpelling !== undefined &&
(0, numberPrecision_js_1.decimalsOf)(candidate.decimalSpelling) > (0, numberPrecision_js_1.decimalsOf)(previous?.decimalSpelling ?? ''))
out[prior] = candidate;
return;
}
seen.set(candidate.value, out.length);
out.push(candidate);
};
const add = (spelling, rangeToken) => {
if (budget <= 0) {
unread += 1; // a range's second endpoint, past the line
return;
}
budget -= 1;
const token = (0, normalize_js_1.normalizeToken)(spelling);
let candidate = classifyToken(token, gate, figures);
// Declared shapes and exemptions win, including over precision promotion.
if (gate.decimalRounding === true) {
const promoted = /^[-+]?\d+\.\d+$/.test(spelling)
? { value: token, shape: 'number', decimalSpelling: spelling }
: scientificCandidateOf(spelling, token);
if (promoted !== undefined &&
!isDeclaredExempt(token, gate) &&
!gate.shapes.some((shape) => shape.match.test(token))) {
// An exempt value stays exempt in another spelling (`1.12e-2` for `0.0112`).
candidate = isDeclaredExempt(promoted.value, gate) ? undefined : promoted;
}
}
record(candidate !== undefined && rangeToken !== undefined
? { ...candidate, rangeToken }
: candidate);
};
for (const text of answerTexts(answer, typed)) {
const spellings = (0, normalize_js_1.answerTokenSpellings)(text);
if (budget <= 0) {
unread += spellings.length; // past the line: counted, never classified
continue;
}
for (let index = 0; index < spellings.length; index += 1) {
if (budget <= 0) {
unread += spellings.length - index;
break;
}
const spelling = spellings[index] ?? '';
const token = (0, normalize_js_1.normalizeToken)(spelling);
// Test app-owned ID declarations on the intact token before heuristics.
if (isDeclaredExempt(token, gate) || gate.shapes.some((shape) => shape.match.test(token))) {
add(spelling);
continue;
}
const range = (0, numericRanges_js_1.splitNumericRange)(spelling, spellings[index + 1]);
if (range !== undefined && exactTokens?.has(token) === true) {
budget -= 1;
record({ value: token, shape: 'identifier' });
continue;
}
if (range !== undefined) {
const suffix = range.unit ?? '';
add(`${range.first}${suffix}`, token);
add(`${range.last}${suffix}`, token);
continue;
}
// An en dash outside our narrow grammar retains the tokenizer's old meaning.
for (const piece of spelling.includes('–') ? (0, normalize_js_1.tokenize)(spelling) : [spelling])
add(piece);
}
}
return { candidates: out, unread };
}
exports.readAnswer = readAnswer;
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