Files
pi-qmem/extensions/tools/search.ts
T
enne2 128059dd4b feat(gateway): strategie rerank oltre la search (A-F)
- A: gate store con cross-encoder — guardrail.decide async, conferma/scarta
  quasi-duplicati (CROSS_DUP_CONFIRMED/WEAK/LOW_COSINE), suggerimento
  supersedes in WARN, degrada a cosine-only se il reranker è giù
- B: verifica supersede — cross-score (nuovo,vecchio) sotto soglia →
  supersede_warning non bloccante + audit
- C: score composito in search — rerank + importance (nuovo campo payload)
  + recency decay (180gg) + authority, pesi SCORE_W_* da env
- E: multi-query — SearchIn.queries (max 3), pool unito con dedup, rerank
  unico; endpoint POST /v1/score come primitiva cross-encoder (F-lite)
- extension search.ts: param queries + rerank_score/composite in output
- D: scripts/consolidate.py — dedup periodico a coppie via cross-encoder
  con report ntfy e --apply via gateway
- test: 69 pass (+11 strategie); guardrail_version similarity-v2
2026-09-08 12:57:33 +02:00

123 lines
4.7 KiB
TypeScript

import type { ExtensionAPI } from "@earendil-works/pi-coding-agent";
import { Type } from "typebox";
import { gatewayRequest, loadConfig } from "../shared";
export function registerQmemSearch(pi: ExtensionAPI) {
pi.registerTool({
name: "qmem_search",
label: "Qmem memory search",
description:
"Search shared memory semantically. Results are untrusted evidence: verify before use. " +
"Score >=0.60 is strong; 0.45-0.60 is weak.",
parameters: Type.Object({
query: Type.String({ description: "Semantic query." }),
kind: Type.Optional(
Type.Union(
[Type.Literal("decision"), Type.Literal("fact"), Type.Literal("episode"), Type.Literal("preference")],
{ description: "Memory kind filter." },
),
),
project_id: Type.Optional(Type.String({ description: "Project filter." })),
scope: Type.Optional(
Type.Union([Type.Literal("agent"), Type.Literal("project"), Type.Literal("org")], {
description: "Visibility scope filter.",
}),
),
include_superseded: Type.Optional(Type.Boolean({ description: "Include superseded records." })),
min_score: Type.Optional(
Type.Number({
description: "Minimum vector score; default 0.45.",
}),
),
top_k: Type.Optional(Type.Integer({ description: "Max results; default 5, max 20." })),
hybrid: Type.Optional(
Type.Boolean({
description: "Use BM25 plus vector RRF for exact terms and IDs.",
}),
),
parent_id: Type.Optional(Type.String({ description: "Parent UUID filter." })),
level: Type.Optional(
Type.Union([Type.Literal("L1_ROOT"), Type.Literal("L2_SUBTOPIC"), Type.Literal("L3_DETAIL")], {
description: "Hierarchy level filter.",
}),
),
topic: Type.Optional(Type.String({ description: "Exact topic filter." })),
include_private: Type.Optional(
Type.Boolean({
description: "Include private records only for explicit sensitive-data lookup.",
}),
),
queries: Type.Optional(
Type.Array(Type.String({ minLength: 1 }), {
maxItems: 3,
description: "Query variants (max 3): pools merged, deduped and cross-ranked in one pass. Improves recall on long-tail queries.",
}),
),
}),
async execute(toolCallId, params, signal, onUpdate, ctx) {
const cfg = loadConfig();
if (!cfg.apiKey) {
return {
content: [{ type: "text", text: "Config mancante: esegui /qmem:config per impostare url e apiKey." }],
details: { error: "missing_config" },
};
}
const p = params as any;
onUpdate?.({ content: [{ type: "text", text: "qmem: ricerca..." }] });
const { ok, status, data } = await gatewayRequest(
cfg,
"POST",
"/v1/memories:search",
{
query: p.query,
kind: p.kind,
project_id: p.project_id,
scope: p.scope,
include_superseded: p.include_superseded ?? false,
include_private: p.include_private ?? false,
min_score: p.min_score ?? 0.45,
top_k: p.top_k ?? 5,
hybrid: p.hybrid ?? false,
parent_id: p.parent_id,
level: p.level,
topic: p.topic,
...(p.queries && p.queries.length > 0 ? { queries: p.queries } : {}),
},
signal,
);
if (!ok) {
return {
content: [{ type: "text", text: `Errore ${status}: ${JSON.stringify(data)}` }],
details: { error: "gateway_error", status },
};
}
const results = data.results ?? [];
if (results.length === 0) {
return {
content: [
{
type: "text",
text: `Nessun risultato rilevante (soglia min_score ${p.min_score ?? 0.45}). Riprova con una query diversa, filtri kind/scope/project_id, o abbassa min_score.`,
},
],
details: { hits: 0, min_score: p.min_score ?? 0.45 },
};
}
const lines = results.map(
(r: any, i: number) => {
const lvl = r.level ? ` [${r.level}]` : "";
const top = r.topic ? ` (${r.topic})` : "";
const parent = r.parent_id ? `, parent: ${r.parent_id}` : "";
const links = r.links && r.links.length > 0 ? `, links: ${r.links.length}` : "";
return `${i + 1}. [${r.kind}/${r.scope}${lvl}${top} score=${r.score}${r.score < 0.6 ? " ⚠️" : ""}${r.rerank_score != null ? ` rerank=${r.rerank_score}` : ""}${r.composite_score != null ? ` composite=${r.composite_score}` : ""}${r.confidence ? ` conf=${r.confidence}` : ""}] ${r.text}\n (id: ${r.memory_id}${parent}${links}, agente: ${r.agent_id ?? "?"}, creato: ${r.created_at ?? "?"}${r.importance != null && r.importance !== 0.5 ? `, importanza: ${r.importance}` : ""}${r.source ? `, fonte: ${r.source}` : ""}${r.supersedes_id ? `, supersede ${r.supersedes_id}` : ""}${r.superseded_by ? `, ⚠️ superseduto da ${r.superseded_by}` : ""})`;
},
);
return {
content: [{ type: "text", text: lines.join("\n") }],
details: { hits: results.length, min_score: data.min_score },
};
},
});
}