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chore: import upstream snapshot with attribution
2026-07-13 12:43:05 +08:00

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/**
* Comprehensive view-switching verification harness.
*
* Runs a fixed matrix of natural-language navigation prompts through an
* OpenAI-compatible chat-completions endpoint (local llama.cpp `llama-server`
* OR a cloud provider), constrains the model to the same planner schema the
* runtime uses ({action, view}), then mirrors `runViewsShow`'s end-to-end
* landing logic — the deterministic `resolveIntentView` override corrects a
* wrong/missing model `view` for the known domain surfaces — and scores:
*
* - actionOk : did the model pick the right action (VIEWS vs REPLY)?
* - rawViewOk : did the model's raw `view` param match expected?
* - landedOk : did the user END UP on the expected view (with correction)?
*
* Usage:
* MODEL_URL=http://127.0.0.1:8081/v1 MODEL_LABEL=eliza-1-2b \
* bun run plugins/plugin-training/scripts/verify-view-switching.ts
* MODEL_URL=https://api.anthropic.com/... MODEL_KEY=sk-... MODEL_NAME=claude-... \
* MODEL_LABEL=cloud bun run plugins/plugin-training/scripts/verify-view-switching.ts
*
* Writes a JSON + HTML report under output/view-switching-verify/.
*/
import { mkdirSync, writeFileSync } from "node:fs";
import path from "node:path";
import { fileURLToPath } from "node:url";
import { resolveIntentView } from "../../plugin-app-control/src/actions/views-show.ts";
import { extractPlannerView } from "../src/optimizers/scoring.ts";
// Navigable view ids exposed to the planner (domain surfaces + common builtins).
const VIEW_IDS = [
"chat",
"settings",
"calendar",
"inbox",
"wallet",
"finances",
"focus",
"goals",
"health",
"todos",
"documents",
"relationships",
"task-coordinator",
"help",
"character",
"automations",
"none",
] as const;
// The set the deterministic resolveIntentView override knows about — landing on
// these is auto-corrected even when the model picks a wrong view name (this is
// exactly what runViewsShow does at views-show.ts:372-380). Used to mirror
// end-to-end landing.
const REGISTERED = new Set(VIEW_IDS.filter((v) => v !== "none"));
// Input modality the prompt arrives over. Today every case is typed `text`;
// `voice` exists so transcribed/dictated prompts can be tracked separately in
// the grid without changing the scoring path.
type Modality = "text" | "voice";
interface Case {
prompt: string;
expected: string; // expected landed view id, or "none" for no-nav
kind: "direct" | "passive" | "contextual" | "multilingual" | "negative";
// Grid axes. `view` defaults to `expected`, `language` to "en", `modality` to
// "text" when omitted; multilingual cases carry an explicit BCP-47 language.
view?: string;
language?: string;
modality?: Modality;
}
const CASES: Case[] = [
// direct "open X"
{ prompt: "open settings", expected: "settings", kind: "direct" },
{ prompt: "go to my calendar", expected: "calendar", kind: "direct" },
{ prompt: "open my inbox", expected: "inbox", kind: "direct" },
{ prompt: "show my wallet", expected: "wallet", kind: "direct" },
{ prompt: "open my todos", expected: "todos", kind: "direct" },
{ prompt: "take me to my documents", expected: "documents", kind: "direct" },
{ prompt: "open my goals", expected: "goals", kind: "direct" },
// passive intent (no show-verb)
{
prompt: "what's on my schedule today",
expected: "calendar",
kind: "passive",
},
{ prompt: "check my messages", expected: "inbox", kind: "passive" },
{ prompt: "my crypto balance", expected: "wallet", kind: "passive" },
{
prompt: "how much did i spend on subscriptions",
expected: "finances",
kind: "passive",
},
{
prompt: "i need to focus and block distractions",
expected: "focus",
kind: "passive",
},
{ prompt: "how did i sleep last night", expected: "health", kind: "passive" },
{
prompt: "who do i know at acme corp",
expected: "relationships",
kind: "passive",
},
{ prompt: "change my preferences", expected: "settings", kind: "passive" },
// contextual (situation implies a view)
{
prompt: "i need to fix the login bug in my app",
expected: "task-coordinator",
kind: "contextual",
},
{
prompt: "let's build a new feature for my app",
expected: "task-coordinator",
kind: "contextual",
},
// multilingual
{
prompt: "muéstrame mi calendario",
expected: "calendar",
kind: "multilingual",
language: "es",
},
{
prompt: "abre mi correo",
expected: "inbox",
kind: "multilingual",
language: "es",
},
{
prompt: "我的钱包",
expected: "wallet",
kind: "multilingual",
language: "zh",
},
// negatives (must NOT navigate)
{
prompt: "what's the weather like today",
expected: "none",
kind: "negative",
},
{ prompt: "tell me a joke", expected: "none", kind: "negative" },
{
prompt: "what is the capital of France",
expected: "none",
kind: "negative",
},
];
// Resolve the grid axes for a case, applying the documented defaults.
function caseView(c: Case): string {
return c.view ?? c.expected;
}
function caseLanguage(c: Case): string {
return c.language ?? "en";
}
function caseModality(c: Case): Modality {
return c.modality ?? "text";
}
const SYSTEM_PROMPT = [
"You route a user's chat message to an app view, or reply normally.",
`Available views: ${VIEW_IDS.filter((v) => v !== "none").join(", ")}.`,
"If the message asks to open/show/go to a view, or the situation clearly calls for one, respond with action VIEWS and the best matching view id.",
'If it\'s small talk, a general question, or no view clearly helps, respond with action REPLY and view "none".',
'Respond ONLY as compact JSON: {"action": "VIEWS" or "REPLY", "view": "<one listed view id or none>"}.',
].join("\n");
const PLANNER_SCHEMA = {
type: "object",
properties: {
action: { type: "string", enum: ["VIEWS", "REPLY"] },
view: { type: "string", enum: [...VIEW_IDS] },
},
required: ["action", "view"],
additionalProperties: false,
};
const MODEL_URL = process.env.MODEL_URL ?? "http://127.0.0.1:8081/v1";
const MODEL_LABEL = process.env.MODEL_LABEL ?? "local";
const MODEL_NAME = process.env.MODEL_NAME ?? "eliza-1";
const MODEL_KEY = process.env.MODEL_KEY ?? "sk-no-key";
async function postChat(
prompt: string,
structured: boolean,
): Promise<Response> {
const body: Record<string, unknown> = {
model: MODEL_NAME,
messages: [
{ role: "system", content: SYSTEM_PROMPT },
{ role: "user", content: prompt },
],
temperature: 0,
max_tokens: 60,
chat_template_kwargs: { enable_thinking: false },
};
if (structured) {
body.response_format = {
type: "json_schema",
json_schema: { name: "planner", schema: PLANNER_SCHEMA, strict: true },
};
}
return fetch(`${MODEL_URL}/chat/completions`, {
method: "POST",
headers: {
"content-type": "application/json",
authorization: `Bearer ${MODEL_KEY}`,
},
body: JSON.stringify(body),
});
}
async function callModel(
prompt: string,
): Promise<{ action: string; view: string; raw: string }> {
let res = await postChat(prompt, true);
// Some providers reject json_schema response_format — retry unconstrained and
// rely on the system-prompt JSON instruction + loose extraction.
if (!res.ok && (res.status === 400 || res.status === 422)) {
res = await postChat(prompt, false);
}
if (!res.ok) throw new Error(`HTTP ${res.status} ${await res.text()}`);
const data = await res.json();
const content = data?.choices?.[0]?.message?.content ?? "";
let action = "REPLY";
let view = "none";
try {
const parsed = JSON.parse(content);
action = String(parsed.action ?? "REPLY").toUpperCase();
view = String(parsed.view ?? "none").toLowerCase();
} catch {
const ev = extractPlannerView(content);
if (ev) {
view = ev;
action = "VIEWS";
}
}
return { action, view, raw: content };
}
// Mirror the full 3-stage cascade end-to-end landing:
// 1. EARLY hook (viewCommandShortcutEvaluator): a rigid matchViewCommand hit
// FORCES the VIEWS action regardless of what the model chose — so explicit
// commands land deterministically, model strength irrelevant.
// 2. ACTION: if the model engaged VIEWS, land on resolveIntentView(prompt) (it
// wraps matchViewCommand) or the model's view param.
// Contextual intent with no rigid match that the model REPLYs to would be
// caught by the POST evaluator (small model) — not simulated here.
function landedView(prompt: string, action: string, modelView: string): string {
// EARLY hook fires on any deterministic resolveIntentView match (rigid
// command OR passive keyword intent), forcing VIEWS model-independently.
const deterministic = resolveIntentView(prompt);
if (deterministic && REGISTERED.has(deterministic)) return deterministic;
if (action !== "VIEWS") return "none";
if (REGISTERED.has(modelView)) return modelView;
return "none";
}
export type GridStatus = "pass" | "fail" | "absent";
// Minimal row shape the grid cross-tabulates over. The verify harness rows are
// a superset of this; tests build the fixture directly from this interface.
export interface GridRow {
view: string;
language: string;
modality: string;
landedOk: boolean;
}
export interface GridCell {
view: string;
language: string;
modality: string;
status: GridStatus;
}
export interface ResultGrid {
views: string[];
languages: string[];
modalities: string[];
// grid[view][language][modality] -> "pass" | "fail" | "absent". A combo with
// no row is "absent"; a combo with any failing row is "fail" (fail dominates).
grid: Record<string, Record<string, Record<string, GridStatus>>>;
cells: GridCell[];
}
// Pure, model-free cross-tabulation of result rows into a per-(view, language,
// modality) pass/fail grid. Every (view × language × modality) combination that
// appears across the axes gets a cell: "absent" when no row covers it, "fail"
// when any covering row failed, otherwise "pass".
export function buildResultGrid(rows: GridRow[]): ResultGrid {
const uniqueSorted = (values: string[]): string[] =>
[...new Set(values)].sort();
const views = uniqueSorted(rows.map((r) => r.view));
const languages = uniqueSorted(rows.map((r) => r.language));
const modalities = uniqueSorted(rows.map((r) => r.modality));
const grid: Record<string, Record<string, Record<string, GridStatus>>> = {};
const cells: GridCell[] = [];
for (const view of views) {
grid[view] = {};
for (const language of languages) {
grid[view][language] = {};
for (const modality of modalities) {
const covering = rows.filter(
(r) =>
r.view === view &&
r.language === language &&
r.modality === modality,
);
const status: GridStatus =
covering.length === 0
? "absent"
: covering.every((r) => r.landedOk)
? "pass"
: "fail";
grid[view][language][modality] = status;
cells.push({ view, language, modality, status });
}
}
}
return { views, languages, modalities, grid, cells };
}
// Accuracy summary the gate scores against. `landedAccuracy` is always present;
// `directAccuracy` (direct "open X" commands) and `negativeControlPrecision`
// (negatives that correctly did NOT navigate) are cheaply derivable from the
// run and let the gate guard the two most regression-prone axes.
export interface AccuracySummary {
total: number;
landedAccuracy: number;
directAccuracy?: number;
negativeControlPrecision?: number;
}
// Floors are opt-in: a metric is only gated when its floor is a finite number.
export interface AccuracyFloors {
minLandedAccuracy?: number;
minDirectAccuracy?: number;
minNegativeControlPrecision?: number;
}
// Pure, model-free accuracy gate. Compares the run's accuracy metrics against
// the provided floors and returns whether every gated metric cleared its floor,
// plus a human-readable failure list. A metric with no floor (or a non-finite
// floor) is not gated. With no floors at all the gate always passes (opt-in).
export function evaluateAccuracyGate(
summary: AccuracySummary,
floors: AccuracyFloors,
): { pass: boolean; failures: string[] } {
const failures: string[] = [];
const check = (
label: string,
actual: number | undefined,
floor: number | undefined,
): void => {
if (floor === undefined || !Number.isFinite(floor)) return;
if (actual === undefined || !Number.isFinite(actual)) {
failures.push(`${label}: no value to compare against floor ${floor}`);
return;
}
if (actual < floor) {
failures.push(
`${label} ${(actual * 100).toFixed(1)}% below floor ${(floor * 100).toFixed(1)}%`,
);
}
};
check("landedAccuracy", summary.landedAccuracy, floors.minLandedAccuracy);
check("directAccuracy", summary.directAccuracy, floors.minDirectAccuracy);
check(
"negativeControlPrecision",
summary.negativeControlPrecision,
floors.minNegativeControlPrecision,
);
return { pass: failures.length === 0, failures };
}
// Read opt-in accuracy floors from the environment. A metric is only gated when
// its env var parses to a finite number.
function readAccuracyFloors(env: NodeJS.ProcessEnv): AccuracyFloors {
const num = (raw: string | undefined): number | undefined => {
if (raw === undefined || raw.trim() === "") return undefined;
const parsed = Number(raw);
return Number.isFinite(parsed) ? parsed : undefined;
};
return {
minLandedAccuracy: num(env.MIN_LANDED_ACCURACY),
minDirectAccuracy: num(env.MIN_DIRECT_ACCURACY),
minNegativeControlPrecision: num(env.MIN_NEGATIVE_CONTROL_PRECISION),
};
}
// True when at least one floor is configured.
function anyFloorConfigured(floors: AccuracyFloors): boolean {
return (
floors.minLandedAccuracy !== undefined ||
floors.minDirectAccuracy !== undefined ||
floors.minNegativeControlPrecision !== undefined
);
}
async function main() {
console.log(
`[verify] model=${MODEL_LABEL} url=${MODEL_URL} name=${MODEL_NAME}`,
);
const rows: Array<{
c: Case;
action: string;
modelView: string;
landed: string;
actionOk: boolean;
rawViewOk: boolean;
landedOk: boolean;
err?: string;
}> = [];
for (const c of CASES) {
try {
const { action, view } = await callModel(c.prompt);
const landed = landedView(c.prompt, action, view);
const expectNav = c.expected !== "none";
const actionOk = expectNav ? action === "VIEWS" : action === "REPLY";
const rawViewOk = expectNav
? view === c.expected
: action === "REPLY" || view === "none";
const landedOk = landed === c.expected;
rows.push({
c,
action,
modelView: view,
landed,
actionOk,
rawViewOk,
landedOk,
});
console.log(
` [${landedOk ? "PASS" : "FAIL"}] ${c.kind.padEnd(12)} "${c.prompt}" → action=${action} view=${view} landed=${landed} (want ${c.expected})`,
);
} catch (e) {
rows.push({
c,
action: "ERR",
modelView: "",
landed: "",
actionOk: false,
rawViewOk: false,
landedOk: false,
err: String(e),
});
console.log(` [ERR ] ${c.prompt}: ${e}`);
}
}
const n = rows.length;
const sum = (k: "actionOk" | "rawViewOk" | "landedOk") =>
rows.filter((r) => r[k]).length;
// Per-kind accuracy on the two most regression-prone axes: direct "open X"
// commands (must land) and negatives (must NOT navigate).
const accuracyOver = (predicate: (r: (typeof rows)[number]) => boolean) => {
const subset = rows.filter(predicate);
return subset.length === 0
? undefined
: subset.filter((r) => r.landedOk).length / subset.length;
};
const directAccuracy = accuracyOver((r) => r.c.kind === "direct");
const negativeControlPrecision = accuracyOver((r) => r.c.kind === "negative");
const summary = {
model: MODEL_LABEL,
modelName: MODEL_NAME,
url: MODEL_URL,
total: n,
actionAccuracy: sum("actionOk") / n,
rawViewAccuracy: sum("rawViewOk") / n,
landedAccuracy: sum("landedOk") / n,
directAccuracy,
negativeControlPrecision,
};
console.log(
`\n[verify] ${MODEL_LABEL}: action ${sum("actionOk")}/${n} | rawView ${sum("rawViewOk")}/${n} | LANDED ${sum("landedOk")}/${n}`,
);
const grid = buildResultGrid(
rows.map((r) => ({
view: caseView(r.c),
language: caseLanguage(r.c),
modality: caseModality(r.c),
landedOk: r.landedOk,
})),
);
const outDir = path.join(process.cwd(), "output", "view-switching-verify");
mkdirSync(outDir, { recursive: true });
const stamp = MODEL_LABEL.replace(/[^a-z0-9_-]/gi, "_");
writeFileSync(
path.join(outDir, `report-${stamp}.json`),
JSON.stringify(
{
summary,
rows: rows.map((r) => ({
...r.c,
action: r.action,
modelView: r.modelView,
landed: r.landed,
actionOk: r.actionOk,
rawViewOk: r.rawViewOk,
landedOk: r.landedOk,
err: r.err,
})),
grid,
},
null,
2,
),
);
const gridCols = grid.languages.flatMap((language) =>
grid.modalities.map((modality) => ({ language, modality })),
);
const gridSym: Record<GridStatus, string> = {
pass: "✓",
fail: "✗",
absent: "·",
};
const gridTable = `<h2>Grid — view × language × modality</h2>
<table class=grid><tr><th>view</th>${gridCols.map((col) => `<th>${col.language}·${col.modality}</th>`).join("")}</tr>
${grid.views
.map(
(view) =>
`<tr><td>${view}</td>${gridCols
.map((col) => {
const s = grid.grid[view][col.language][col.modality];
return `<td class=${s} title="${view} / ${col.language} / ${col.modality}: ${s}">${gridSym[s]}</td>`;
})
.join("")}</tr>`,
)
.join("\n")}
</table>`;
const html = `<!doctype html><meta charset=utf8><title>view-switching ${MODEL_LABEL}</title>
<style>body{font:14px system-ui;margin:24px;background:#111;color:#eee}table{border-collapse:collapse;width:100%;margin-bottom:24px}td,th{border:1px solid #333;padding:6px 8px;text-align:left}.pass{color:#3c3}.fail{color:#f55}.absent{color:#777}table.grid td{text-align:center}h1{font-size:18px}h2{font-size:15px}code{background:#222;padding:1px 4px;border-radius:3px}</style>
<h1>View-switching verification — ${MODEL_LABEL} (${MODEL_NAME})</h1>
<p>Landed: <b>${sum("landedOk")}/${n}</b> (${(summary.landedAccuracy * 100).toFixed(0)}%) · Action: ${sum("actionOk")}/${n} · Raw view: ${sum("rawViewOk")}/${n}</p>
${gridTable}
<table><tr><th>kind</th><th>prompt</th><th>expected</th><th>action</th><th>model view</th><th>landed</th><th>result</th></tr>
${rows.map((r) => `<tr><td>${r.c.kind}</td><td><code>${r.c.prompt}</code></td><td>${r.c.expected}</td><td>${r.action}</td><td>${r.modelView}</td><td>${r.landed}</td><td class=${r.landedOk ? "pass" : "fail"}>${r.landedOk ? "PASS" : "FAIL"}${r.err ? ` ${r.err}` : ""}</td></tr>`).join("\n")}
</table>`;
writeFileSync(path.join(outDir, `report-${stamp}.html`), html);
console.log(
`[verify] wrote output/view-switching-verify/report-${stamp}.{json,html}`,
);
// Opt-in accuracy gate. A model regression must fail the script — but only
// when a floor is configured AND a model endpoint was actually reached (the
// run produced at least one non-error result). Ad-hoc runs with no floor, and
// runs that never reached an endpoint, never fail here.
const floors = readAccuracyFloors(process.env);
if (anyFloorConfigured(floors)) {
const reached = rows.some((r) => r.action !== "ERR");
if (!reached) {
console.warn(
"[verify] accuracy floors set but no model endpoint was reached — skipping gate",
);
return;
}
const gate = evaluateAccuracyGate(summary, floors);
if (!gate.pass) {
console.error(
`[verify] accuracy gate FAILED:\n${gate.failures.map((f) => ` - ${f}`).join("\n")}`,
);
process.exit(1);
}
console.log("[verify] accuracy gate passed");
}
}
if (process.argv[1] && fileURLToPath(import.meta.url) === process.argv[1]) {
main().catch((e) => {
console.error(e);
process.exit(1);
});
}