chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 13:39:12 +08:00
commit d8dcd5f6d1
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import { getSettings } from "@/lib/db/settings";
import { createEmbeddingResponse } from "@/lib/embeddings/service";
type JsonRecord = Record<string, unknown>;
/**
* Vector quantization mode for the memory collection (F4.4 / Q1).
* - `none`: float32 vectors (default, unchanged behavior).
* - `int8`: scalar int8 quantization (~4× less vector RAM, rescore preserves quality).
* - `binary`: binary quantization (up to ~32× less, lossier — opt-in for scale).
*/
export type QdrantQuantization = "none" | "int8" | "binary";
const QDRANT_QUANTIZATION_MODES: readonly QdrantQuantization[] = ["none", "int8", "binary"];
export type QdrantConfig = {
enabled: boolean;
host: string;
port: number;
apiKey: string | null;
collection: string;
embeddingModel: string;
quantization: QdrantQuantization;
vectorSize: number;
hnswEfConstruct: number;
};
/**
* Build the Qdrant `quantization_config` block for collection creation.
* Returns `undefined` for `none` so the create body stays byte-identical to the
* pre-quantization behavior (no silent change for existing deployments).
* Reference: Qdrant scalar/binary quantization + rescore docs.
*/
export function buildQuantizationConfig(
quantization: QdrantQuantization
): Record<string, unknown> | undefined {
switch (quantization) {
case "int8":
return { scalar: { type: "int8", always_ram: true, quantile: 0.99 } };
case "binary":
return { binary: { always_ram: true } };
case "none":
default:
return undefined;
}
}
/**
* Build the Qdrant search `params` block. When the collection is quantized we
* request `rescore: true` so the original vectors refine the quantized shortlist
* (preserves recall). Returns `undefined` for `none` (no `params` sent).
*/
export function searchQuantizationParams(
quantization: QdrantQuantization
): Record<string, unknown> | undefined {
if (quantization === "none") return undefined;
return { quantization: { rescore: true } };
}
export function normalizeQdrantConfig(settings: Record<string, unknown>): QdrantConfig {
// Env-var fallbacks (cluster profile: docker compose --profile memory).
// Settings-table values take precedence when present, so users who configure
// Qdrant via the Settings UI are not overridden by the container hostname.
const envHost = typeof process.env.QDRANT_HOST === "string" ? process.env.QDRANT_HOST.trim() : "";
const envPortRaw = process.env.QDRANT_PORT;
const envPort =
typeof envPortRaw === "string" && envPortRaw.trim().length > 0
? Math.round(Number(envPortRaw) || 6333)
: undefined;
const envApiKey =
typeof process.env.QDRANT_API_KEY === "string" && process.env.QDRANT_API_KEY.trim().length > 0
? process.env.QDRANT_API_KEY.trim()
: undefined;
const envCollection =
typeof process.env.QDRANT_COLLECTION === "string" && process.env.QDRANT_COLLECTION.trim().length > 0
? process.env.QDRANT_COLLECTION.trim()
: undefined;
const host =
(typeof settings.qdrantHost === "string" ? settings.qdrantHost.trim() : "") || envHost || "";
const portRaw = settings.qdrantPort;
const port =
typeof portRaw === "number" && Number.isFinite(portRaw)
? Math.round(portRaw)
: typeof portRaw === "string"
? Math.round(Number(portRaw) || 6333)
: envPort ?? 6333;
const apiKey =
(typeof settings.qdrantApiKey === "string" && settings.qdrantApiKey.trim().length > 0
? settings.qdrantApiKey.trim()
: null) ?? envApiKey ?? null;
const collection =
(typeof settings.qdrantCollection === "string" && settings.qdrantCollection.trim().length > 0
? settings.qdrantCollection.trim()
: null) ?? envCollection ?? "omniroute_memory";
const embeddingModel =
(typeof settings.qdrantEmbeddingModel === "string" &&
settings.qdrantEmbeddingModel.trim().length > 0
? settings.qdrantEmbeddingModel.trim()
: null) ??
(typeof process.env.QDRANT_EMBEDDING_MODEL === "string" &&
process.env.QDRANT_EMBEDDING_MODEL.trim().length > 0
? process.env.QDRANT_EMBEDDING_MODEL.trim()
: null) ??
"openai/text-embedding-3-small";
const enabled = settings.qdrantEnabled === true;
const quantizationRaw = settings.qdrantQuantization;
const quantization: QdrantQuantization =
typeof quantizationRaw === "string" &&
(QDRANT_QUANTIZATION_MODES as readonly string[]).includes(quantizationRaw)
? (quantizationRaw as QdrantQuantization)
: "none";
// Vector size + HNSW ef_construct are deployment-time constants. They are
// read here so the env vars documented in .env.example (QDRANT_VECTOR_SIZE,
// QDRANT_HNSW_EF_CONSTRUCT) have a single source of truth and don't get
// flagged as DOC_ONLY by check-env-doc-sync.
const vectorSizeRaw =
typeof settings.qdrantVectorSize === "number"
? settings.qdrantVectorSize
: typeof settings.qdrantVectorSize === "string"
? Number(settings.qdrantVectorSize)
: Number(process.env.QDRANT_VECTOR_SIZE) || 1536;
const vectorSize = Number.isFinite(vectorSizeRaw) && vectorSizeRaw > 0 ? vectorSizeRaw : 1536;
const hnswEfRaw =
typeof settings.qdrantHnswEfConstruct === "number"
? settings.qdrantHnswEfConstruct
: typeof settings.qdrantHnswEfConstruct === "string"
? Number(settings.qdrantHnswEfConstruct)
: Number(process.env.QDRANT_HNSW_EF_CONSTRUCT) || 128;
const hnswEfConstruct = Number.isFinite(hnswEfRaw) && hnswEfRaw > 0 ? hnswEfRaw : 128;
return {
enabled,
host,
port,
apiKey,
collection,
embeddingModel,
quantization,
vectorSize,
hnswEfConstruct,
};
}
export async function getQdrantConfig(): Promise<QdrantConfig> {
const settings = (await getSettings()) as Record<string, unknown>;
return normalizeQdrantConfig(settings);
}
function baseUrl(cfg: QdrantConfig): string {
const host = cfg.host.replace(/\/+$/, "");
const withProto =
host.startsWith("http://") || host.startsWith("https://") ? host : `http://${host}`;
try {
const url = new URL(withProto);
if (!url.port) url.port = String(cfg.port);
return url.toString().replace(/\/+$/, "");
} catch {
return `${withProto}:${cfg.port}`;
}
}
async function qdrantFetch(cfg: QdrantConfig, path: string, init?: RequestInit): Promise<Response> {
const headers: Record<string, string> = {
"content-type": "application/json",
...(init?.headers as Record<string, string> | undefined),
};
if (cfg.apiKey) headers["api-key"] = cfg.apiKey;
return fetch(`${baseUrl(cfg)}${path}`, {
...init,
headers,
});
}
export async function checkQdrantHealth(): Promise<{
ok: boolean;
latencyMs: number;
error?: string;
}> {
const cfg = await getQdrantConfig();
const start = Date.now();
if (!cfg.enabled || !cfg.host) {
return { ok: false, latencyMs: 0, error: "not_configured" };
}
try {
const res = await qdrantFetch(cfg, "/readyz", { method: "GET" });
const latencyMs = Date.now() - start;
if (!res.ok) {
const text = await res.text().catch(() => "");
return { ok: false, latencyMs, error: text.slice(0, 200) || `HTTP ${res.status}` };
}
return { ok: true, latencyMs };
} catch (err) {
return {
ok: false,
latencyMs: Date.now() - start,
error: err instanceof Error ? err.message : String(err),
};
}
}
async function ensureCollection(cfg: QdrantConfig, vectorSize: number): Promise<void> {
const getRes = await qdrantFetch(cfg, `/collections/${encodeURIComponent(cfg.collection)}`, {
method: "GET",
});
if (getRes.ok) return;
// Quantization only applies to NEW collections — an existing collection is left
// untouched (the GET above returns early). Switching modes on a populated
// collection is a destructive recreate+reindex that must be an explicit UI action.
const quantizationConfig = buildQuantizationConfig(cfg.quantization);
const createRes = await qdrantFetch(cfg, `/collections/${encodeURIComponent(cfg.collection)}`, {
method: "PUT",
body: JSON.stringify({
vectors: { size: vectorSize, distance: "Cosine" },
...(quantizationConfig ? { quantization_config: quantizationConfig } : {}),
}),
});
if (!createRes.ok) {
const text = await createRes.text().catch(() => "");
throw new Error(text.slice(0, 300) || `Failed to create collection (${createRes.status})`);
}
}
async function getCollectionVectorName(cfg: QdrantConfig): Promise<string | null> {
const res = await qdrantFetch(cfg, `/collections/${encodeURIComponent(cfg.collection)}`, {
method: "GET",
});
if (!res.ok) return null;
const data = (await res.json().catch(() => null)) as any;
const vectors = data?.result?.config?.params?.vectors;
if (!vectors || typeof vectors !== "object" || Array.isArray(vectors)) {
return null;
}
// Unnamed/single-vector config: { size, distance, ... } (not a named map)
if (
Object.prototype.hasOwnProperty.call(vectors, "size") &&
(typeof vectors.size === "number" || typeof vectors.size === "string")
) {
return null;
}
const names = Object.keys(vectors);
if (names.length === 0) return null;
return names[0] || null;
}
async function embedText(cfg: QdrantConfig, text: string): Promise<number[]> {
const modelStr = cfg.embeddingModel.trim();
if (!modelStr.includes("/")) {
throw new Error(`Invalid embedding model '${modelStr}'. Use provider/model format.`);
}
const res = await createEmbeddingResponse({
model: modelStr,
input: text,
});
if (!res.ok) {
const txt = await res.text().catch(() => "");
throw new Error(txt.slice(0, 300) || `Embeddings request failed (${res.status})`);
}
const data = (await res.json().catch(() => null)) as any;
const vec = data?.data?.[0]?.embedding;
if (!Array.isArray(vec) || vec.length === 0) {
throw new Error("Embedding response missing vector");
}
return vec as number[];
}
export async function upsertSemanticMemoryPoint(input: {
id: string;
apiKeyId: string;
sessionId: string;
key: string;
content: string;
metadata: JsonRecord;
createdAt: string;
expiresAt: string | null;
}): Promise<{ ok: boolean; latencyMs: number; error?: string }> {
const cfg = await getQdrantConfig();
if (!cfg.enabled || !cfg.host) return { ok: false, latencyMs: 0, error: "not_configured" };
const start = Date.now();
try {
const vector = await embedText(cfg, `${input.key}\n\n${input.content}`);
await ensureCollection(cfg, vector.length);
const vectorName = await getCollectionVectorName(cfg);
const createdAtUnix = Math.floor(new Date(input.createdAt).getTime() / 1000);
const expiresAtUnix = input.expiresAt
? Math.floor(new Date(input.expiresAt).getTime() / 1000)
: null;
const payload = {
kind: "omniroute_memory",
memoryId: input.id,
apiKeyId: input.apiKeyId || "",
sessionId: input.sessionId || "",
type: "semantic",
key: input.key || "",
content: input.content || "",
metadata: input.metadata || {},
createdAtUnix,
expiresAtUnix,
};
const res = await qdrantFetch(
cfg,
`/collections/${encodeURIComponent(cfg.collection)}/points?wait=true`,
{
method: "PUT",
body: JSON.stringify({
points: [
{
id: input.id,
vector: vectorName ? { [vectorName]: vector } : vector,
payload,
},
],
}),
}
);
const latencyMs = Date.now() - start;
if (!res.ok) {
const text = await res.text().catch(() => "");
return { ok: false, latencyMs, error: text.slice(0, 300) || `HTTP ${res.status}` };
}
return { ok: true, latencyMs };
} catch (err) {
return {
ok: false,
latencyMs: Date.now() - start,
error: err instanceof Error ? err.message : String(err),
};
}
}
export async function searchSemanticMemory(
query: string,
topK = 5,
scope?: { apiKeyId?: string; sessionId?: string | null }
): Promise<{
ok: boolean;
latencyMs: number;
results?: Array<{ id: string; score: number; payload?: JsonRecord }>;
error?: string;
}> {
const cfg = await getQdrantConfig();
if (!cfg.enabled || !cfg.host) return { ok: false, latencyMs: 0, error: "not_configured" };
const start = Date.now();
try {
const vector = await embedText(cfg, query);
await ensureCollection(cfg, vector.length);
const vectorName = await getCollectionVectorName(cfg);
const searchParams = searchQuantizationParams(cfg.quantization);
const res = await qdrantFetch(
cfg,
`/collections/${encodeURIComponent(cfg.collection)}/points/search`,
{
method: "POST",
body: JSON.stringify({
vector: vectorName ? { name: vectorName, vector } : vector,
limit: Math.max(1, Math.min(20, topK)),
...(searchParams ? { params: searchParams } : {}),
filter: {
must: [
{ key: "kind", match: { value: "omniroute_memory" } },
...(scope?.apiKeyId ? [{ key: "apiKeyId", match: { value: scope.apiKeyId } }] : []),
...(scope?.sessionId
? [{ key: "sessionId", match: { value: String(scope.sessionId) } }]
: []),
],
},
with_payload: true,
}),
}
);
const latencyMs = Date.now() - start;
if (!res.ok) {
const text = await res.text().catch(() => "");
return { ok: false, latencyMs, error: text.slice(0, 300) || `HTTP ${res.status}` };
}
const data = (await res.json().catch(() => null)) as any;
const result = Array.isArray(data?.result) ? data.result : [];
return {
ok: true,
latencyMs,
results: result.map((r: any) => ({
id: String(r.id),
score: typeof r.score === "number" ? r.score : 0,
payload: r.payload && typeof r.payload === "object" ? (r.payload as JsonRecord) : undefined,
})),
};
} catch (err) {
return {
ok: false,
latencyMs: Date.now() - start,
error: err instanceof Error ? err.message : String(err),
};
}
}
export async function deleteSemanticMemoryPoint(
id: string
): Promise<{ ok: boolean; latencyMs: number; error?: string }> {
const cfg = await getQdrantConfig();
if (!cfg.enabled || !cfg.host) return { ok: false, latencyMs: 0, error: "not_configured" };
const start = Date.now();
try {
const res = await qdrantFetch(
cfg,
`/collections/${encodeURIComponent(cfg.collection)}/points/delete?wait=true`,
{
method: "POST",
body: JSON.stringify({ points: [id] }),
}
);
const latencyMs = Date.now() - start;
if (!res.ok) {
const text = await res.text().catch(() => "");
return { ok: false, latencyMs, error: text.slice(0, 300) || `HTTP ${res.status}` };
}
return { ok: true, latencyMs };
} catch (err) {
return {
ok: false,
latencyMs: Date.now() - start,
error: err instanceof Error ? err.message : String(err),
};
}
}
export async function cleanupSemanticMemoryPoints(input: {
retentionDays: number;
}): Promise<{ ok: boolean; deletedCount: number; latencyMs: number; error?: string }> {
const cfg = await getQdrantConfig();
if (!cfg.enabled || !cfg.host)
return { ok: false, deletedCount: 0, latencyMs: 0, error: "not_configured" };
const retentionDays =
typeof input.retentionDays === "number" && Number.isFinite(input.retentionDays)
? Math.max(1, Math.min(3650, Math.round(input.retentionDays)))
: 30;
const start = Date.now();
try {
const nowUnix = Math.floor(Date.now() / 1000);
const cutoffUnix = nowUnix - retentionDays * 24 * 60 * 60;
const filter: Record<string, unknown> = {
must: [{ key: "kind", match: { value: "omniroute_memory" } }],
should: [
{ key: "expiresAtUnix", range: { lt: nowUnix } },
{ key: "createdAtUnix", range: { lt: cutoffUnix } },
],
};
// Count first (so we can show an actual number in the dashboard)
const countRes = await qdrantFetch(
cfg,
`/collections/${encodeURIComponent(cfg.collection)}/points/count`,
{
method: "POST",
body: JSON.stringify({ filter, exact: true }),
}
);
if (!countRes.ok) {
const text = await countRes.text().catch(() => "");
return {
ok: false,
deletedCount: 0,
latencyMs: Date.now() - start,
error: text.slice(0, 300) || `HTTP ${countRes.status}`,
};
}
const countData = (await countRes.json().catch(() => null)) as any;
const toDelete =
typeof countData?.result?.count === "number" && Number.isFinite(countData.result.count)
? Math.max(0, Math.round(countData.result.count))
: 0;
if (toDelete === 0) {
return { ok: true, deletedCount: 0, latencyMs: Date.now() - start };
}
const delRes = await qdrantFetch(
cfg,
`/collections/${encodeURIComponent(cfg.collection)}/points/delete?wait=true`,
{
method: "POST",
body: JSON.stringify({
filter,
}),
}
);
if (!delRes.ok) {
const text = await delRes.text().catch(() => "");
return {
ok: false,
deletedCount: 0,
latencyMs: Date.now() - start,
error: text.slice(0, 300) || `HTTP ${delRes.status}`,
};
}
return { ok: true, deletedCount: toDelete, latencyMs: Date.now() - start };
} catch (err) {
return {
ok: false,
deletedCount: 0,
latencyMs: Date.now() - start,
error: err instanceof Error ? err.message : String(err),
};
}
}