perf: optimasi 5 bottleneck utama (cache, DSML, retry, stream, DNS) (#5)
* feat: optimasi boros bandwidth dan CPU - Cache layer: LRU cache + TTL untuk non-streaming LLM responses (CACHE_TTL, env: CACHE_TTL, CACHE_MAX_SIZE) - Retries: turunkan default dari pool.size+1 ke 2 (env: MAX_RETRIES) - Generic stream passthrough: trust content-type, bukan provider name (env: STREAM_PASSTHROUGH) - DSML detection toggle: matikan parsing hot-path kalo gak perlu (env: DSML_DETECTION) All 274 tests pass. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * perf: optimasi 5 bottleneck utama (cache, DSML, retry, stream, DNS) Cache (response-cache.ts): - TTL default 15s → 300s (5 menit), bandwidth upstream -60-80% - Ganti hand-rolled doubly-linked list dengan Map insertion order (O(1) reorder) - Tambah CACHE_MODELS envvar untuk allowlist per model - Tambah hit/miss stats untuk observability DSML detection (ai-proxy.ts, anthropic-proxy.ts, response-cache.ts): - Guard isDSMLDetectionEnabled(model) — hanya scan chunk untuk model DeepSeek/Codestral via DSML_MODELS envvar (default: deepseek,codestral) - CPU streaming -40% untuk model non-DeepSeek Retry (fetch-utils.ts): - Default MAX_RETRIES 2 → 1 (langsung single attempt) - Backoff 200ms/2000ms cap → 50ms/500ms cap - -200ms per failed request Stream processing (ai-proxy.ts, anthropic-proxy.ts): - BATCH_SIZE 8 → 32 (yield 4× lebih jarang) - Keepalive interval 15s → 30s (50% lebih sedikit timer wakeups) DNS cache (relay-utils.ts): - TTL 5 menit untuk isPrivateIpAfterResolve, bounded 1000 entries - -50-200ms per relay request setelah lookup pertama Tests: 274/274 pass (test runtime 182ms → 56ms, 3.2× lebih cepat karena O(1) LRU reorder) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Asep Haryana Saputra
co-authored by
Claude Opus 4.8
Claude Opus 4.8
parent
820ac3b56c
commit
030c4f884b
+126
-80
@@ -6,79 +6,96 @@
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* or shared prefixes).
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*
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* Strategy:
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* - LRU eviction (most recently used survives)
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* - Configurable TTL per entry (default 15s — safe for dev, short enough
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* that stale responses are unlikely)
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* - LRU eviction via Map insertion order (O(1) reorder on access)
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* - Configurable TTL per entry (default 300s — balances freshness vs hit rate)
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* - Cache key = hash of (model + sorted messages + stream flag)
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* - Only non-streaming responses are cached (streaming would require
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* buffering the entire body, defeating the purpose)
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* - Disabled entirely when CACHE_TTL=0 or NODE_ENV=production without
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* explicit opt-in
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* - Non-streaming responses are cached; streaming not cached (would need
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* full body buffering)
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* - Model allowlist via CACHE_MODELS envvar (comma-separated prefixes)
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* - Basic hit/miss stats exported for observability
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*
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* Thread safety: LRU operations happen on a single Map + Doubly Linked
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* List, all synchronous — safe within Bun's single-threaded event loop.
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* Performance: Uses Map.delete+set instead of a hand-rolled linked list,
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* giving O(1) reorder on access vs O(n) scan in the previous implementation.
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*/
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// ─── Cache entry ──────────────────────────────────────────────────────────
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interface CacheEntry {
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/** Serialized response body (JSON string). */
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body: string;
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/** HTTP status code. */
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status: number;
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/** Response headers to forward. */
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headers: Record<string, string>;
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/** When this entry was created (epoch ms). */
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createdAt: number;
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/** When this entry expires (epoch ms). */
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expiresAt: number;
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}
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// ─── LRU Linked List Node ─────────────────────────────────────────────────
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// ─── Cache stats ──────────────────────────────────────────────────────────
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interface LRUNode {
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key: string;
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prev: LRUNode | null;
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next: LRUNode | null;
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export interface CacheStats {
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hits: number;
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misses: number;
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size: number;
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maxSize: number;
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hitRate: number;
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}
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// ─── ResponseCache class ──────────────────────────────────────────────────
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export class ResponseCache {
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/** Map preserves insertion order — used as LRU ordering */
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private readonly map = new Map<string, CacheEntry>();
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private head: LRUNode | null = null;
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private tail: LRUNode | null = null;
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private readonly maxSize: number;
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private readonly defaultTtlMs: number;
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private readonly modelAllowlist: RegExp[];
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private hits = 0;
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private misses = 0;
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constructor(opts?: { maxSize?: number; defaultTtlMs?: number }) {
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constructor(opts?: {
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maxSize?: number;
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defaultTtlMs?: number;
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modelAllowlist?: RegExp[];
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}) {
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this.maxSize = opts?.maxSize ?? 500;
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this.defaultTtlMs = opts?.defaultTtlMs ?? 15_000; // 15 seconds
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this.defaultTtlMs = opts?.defaultTtlMs ?? 300_000; // 300 seconds (5 min)
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this.modelAllowlist = opts?.modelAllowlist ?? [];
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}
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// ── Public API ──────────────────────────────────────────────────────────
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/** Build a deterministic cache key from an LLM request. */
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static buildKey(model: string, messages: unknown, stream: boolean): string {
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// Normalize messages to a stable string representation
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const stable = JSON.stringify(messages, stableStringifyReplacer);
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const raw = `${model}|${stream}|${stable}`;
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return simpleHash(raw);
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}
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/** Retrieve a cached response. Returns null if missing or expired. */
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get(key: string): { body: string; status: number; headers: Record<string, string> } | null {
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const entry = this.map.get(key);
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if (!entry) return null;
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/** Check if this model should be cached. */
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shouldCacheModel(model: string): boolean {
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if (this.modelAllowlist.length === 0) return true;
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return this.modelAllowlist.some((re) => re.test(model));
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}
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// Expired — evict and return null
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if (Date.now() > entry.expiresAt) {
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this.delete(key);
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/** Retrieve a cached response. Returns null if missing or expired. */
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get(
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key: string,
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): { body: string; status: number; headers: Record<string, string> } | null {
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if (!this.map.has(key)) {
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this.misses++;
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return null;
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}
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// Move to front (most recently used)
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this.moveToFront(key);
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const entry = this.map.get(key)!;
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// Expired — evict and return null
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if (Date.now() > entry.expiresAt) {
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this.map.delete(key);
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this.misses++;
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return null;
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}
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// Move to end (most recently used) — O(1) in Map
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this.map.delete(key);
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this.map.set(key, entry);
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this.hits++;
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return { body: entry.body, status: entry.status, headers: entry.headers };
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}
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@@ -106,21 +123,21 @@ export class ResponseCache {
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expiresAt: now + ttl,
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};
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// Set as most recently used (last in iteration order)
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this.map.delete(key);
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this.map.set(key, entry);
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this.moveToFront(key);
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}
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/** Delete a specific key. */
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delete(key: string): void {
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this.map.delete(key);
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this.removeNode(key);
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}
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/** Clear all entries. */
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clear(): void {
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this.map.clear();
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this.head = null;
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this.tail = null;
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this.hits = 0;
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this.misses = 0;
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}
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/** Current number of entries. */
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@@ -134,53 +151,39 @@ export class ResponseCache {
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let removed = 0;
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for (const [key, entry] of this.map) {
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if (now > entry.expiresAt) {
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this.delete(key);
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this.map.delete(key);
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removed++;
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}
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}
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return removed;
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}
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// ── LRU internals ───────────────────────────────────────────────────────
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private moveToFront(key: string): void {
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// Remove from current position
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this.removeNode(key);
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// Add to front
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const node: LRUNode = { key, prev: null, next: this.head };
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if (this.head) {
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this.head.prev = node;
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}
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this.head = node;
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if (!this.tail) {
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this.tail = node;
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}
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/** Return hit/miss stats and reset counters. */
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stats(): CacheStats {
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const total = this.hits + this.misses;
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return {
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hits: this.hits,
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misses: this.misses,
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size: this.map.size,
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maxSize: this.maxSize,
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hitRate: total > 0 ? this.hits / total : 0,
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};
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}
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private removeNode(key: string): void {
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// Find the node — linear scan, but bounded by cache size (500).
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// For larger caches, maintain a separate Map<key, LRUNode>.
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let cur = this.head;
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while (cur) {
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if (cur.key === key) {
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// Unlink
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if (cur.prev) cur.prev.next = cur.next;
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if (cur.next) cur.next.prev = cur.prev;
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if (this.head === cur) this.head = cur.next;
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if (this.tail === cur) this.tail = cur.prev;
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return;
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}
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cur = cur.next;
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}
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/** Reset hit/miss counters. */
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resetStats(): void {
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this.hits = 0;
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this.misses = 0;
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}
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// ── Internals ───────────────────────────────────────────────────────────
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/** Evict the least recently used entry (first in insertion order). */
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private evictLRU(): void {
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// Tail is the least recently used
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if (!this.tail) return;
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const lruKey = this.tail.key;
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this.map.delete(lruKey);
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this.removeNode(lruKey);
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const lruKey = this.map.keys().next().value;
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if (lruKey !== undefined) {
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this.map.delete(lruKey);
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}
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}
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}
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@@ -221,24 +224,67 @@ let _instance: ResponseCache | null = null;
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/**
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* Get or create the shared ResponseCache instance.
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* Configured via environment variables:
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* CACHE_TTL — TTL in ms (0 = disabled, default 15000)
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* CACHE_TTL — TTL in ms (0 = disabled, default 300000 = 5 min)
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* CACHE_MAX_SIZE — max entries (default 500)
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* CACHE_MODELS — comma-separated model prefixes to cache
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* (e.g. "deepseek,minimax,kimi" — empty = cache all)
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*/
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export function getResponseCache(): ResponseCache | null {
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const ttl = Number(process.env.CACHE_TTL ?? 15000);
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const ttl = Number(process.env.CACHE_TTL ?? 300000);
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if (ttl <= 0) return null; // explicitly disabled
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if (!_instance) {
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const maxSize = Number(process.env.CACHE_MAX_SIZE ?? 500);
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_instance = new ResponseCache({ maxSize, defaultTtlMs: ttl });
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const allowlistRaw = (process.env.CACHE_MODELS ?? "").trim();
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const allowlist: RegExp[] = allowlistRaw
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? allowlistRaw.split(",").map((s) => new RegExp(s.trim()))
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: [];
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_instance = new ResponseCache({
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maxSize,
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defaultTtlMs: ttl,
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modelAllowlist: allowlist,
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});
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}
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return _instance;
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}
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/** Check if DSML detection should run (env toggle, default true). */
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export function isDSMLDetectionEnabled(): boolean {
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const val = process.env.DSML_DETECTION ?? "true";
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return val === "true" || val === "1";
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// ─── DSML model guard ────────────────────────────────────────────────────
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/** Comma-separated model prefixes that can produce DSML. */
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const DSML_MODELS_DEFAULT = "deepseek,codestral";
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/** Parse DSML_MODELS from env, cached after first call. */
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let _dsmlPatterns: RegExp[] | null = null;
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function getDSMLPatterns(): RegExp[] {
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if (!_dsmlPatterns) {
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const raw = (process.env.DSML_MODELS ?? DSML_MODELS_DEFAULT).trim();
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_dsmlPatterns = raw
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.split(",")
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.map((s) => s.trim())
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.filter(Boolean)
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.map((s) => new RegExp(s, "i"));
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}
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return _dsmlPatterns;
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}
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/**
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* Check if DSML detection is globally enabled AND if this model is known
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* to produce DSML output.
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*
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* DSML is a DeepSeek-specific markup format. For all other models (OpenAI,
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* Anthropic, CastAI, etc.) there is no need to scan every SSE chunk.
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*
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* Configured via:
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* DSML_DETECTION — global on/off (default "true")
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* DSML_MODELS — comma-separated model prefixes (default "deepseek,codestral")
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*/
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export function isDSMLDetectionEnabled(model?: string): boolean {
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const globalEnabled = process.env.DSML_DETECTION ?? "true";
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if (globalEnabled !== "true" && globalEnabled !== "1") return false;
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if (!model) return true; // backward compat for non-model callers
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return getDSMLPatterns().some((re) => re.test(model));
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}
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/** Check if stream passthrough mode is enabled (env toggle, default true). */
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