* perf: startup parallelization, stream TextEncoder lift, auth middleware bottlenecks
Startup (~100-300ms faster cold start):
- Parallelize 4 early imports via Promise.all() in registerNodejs()
- Parallelize 10 independent background services via Promise.allSettled()
- Each service has independent try/catch — no failure domino effect
Streaming pipeline (8 fewer TextEncoder GC allocations per SSE event):
- Lift new TextEncoder() from per-chunk inside buildClaudeStreamingResponse
to function scope alongside existing decoder singleton
Auth middleware bottlenecks (from PerfBottleneckAnalysis):
- Backoff decay loop: replace updateProviderConnection (full CRUD:
SELECT+encrypt+cache-invalidate+backup) with resetConnectionBackoff
(targeted UPDATE of backoff/error columns only)
- Dual .filter() for quota: replace two passes calling
isQuotaExhaustedForRequest per connection with a single for loop
partitioning into withQuota/exhaustedQuota
- Debug-log filter recomputation: capture connectionFilterStatus Map
during the filter pass; debug loop reads 6 string comparisons instead
of 6 function calls per connection
Supporting:
- Add resetConnectionBackoff to src/lib/db/providers.ts (patterned after
clearConnectionErrorIfUnchanged, no CAS check)
- Re-export resetConnectionBackoff from src/lib/localDb.ts
- Update integration-wiring.test.ts regex for parallelized dynamic import
* perf: P2C quota cache, lazy provider init, structuredClone elimination, getSettings→getCachedSettings
- **auth.ts: P2C quota re-evaluation cache** — quotaResults Map threaded
through selectPoolSubset → compareP2CConnections → getP2CConnectionScore.
Populated during filter + partition passes, eliminating redundant
evaluateQuotaLimitPolicy / isQuotaExhaustedForRequest calls when the
P2C comparator re-evaluates previously-scored connections.
- **constants.ts: lazy PROVIDERS via Proxy** — replaces eager
generateLegacyProviders() + loadProviderCredentials() at module load
with Proxy delegating to deferred init on first property access.
- **providerModels.ts: lazy PROVIDER_MODELS + PROVIDER_ID_TO_ALIAS** —
same Proxy pattern for both exports; generateModels()/generateAliasMap()
deferred until first read.
- **stream.ts: structuredClone → minimal object spread** — replaces
O(n) deep clone of SSE response chunks with targeted reconstruction
of only mutated fields (usage, delta.content, finish_reason).
- **progressTracker.ts: TextDecoder lift** — module-level decoder
instead of per-chunk new TextDecoder().
- **Route files: getSettings() → getCachedSettings()** — 13 API route
files converted from uncached per-request DB reads to TTL-cached
wrapper (5s default), eliminating redundant queries on every request.
- **settings.ts: re-export getCachedSettings** from readCache for
non-localDb consumers.
- **Remove settingsCache.ts** — dead file, no imports reference it.
TS compile: 0 errors. Auth tests: 225/225 pass. Services: 269/269 pass.
* perf: Phase 1 tangible wins — egressCache eviction, mmap_size PRAGMA, composite indexes, proxyFallback lazy import
- egressCache: lazy TTL eviction on getCachedEgressIp access (bounds memory
leak to distinct proxy URLs, typically <100)
- mmap_size: apply stored PRAGMA from key_value table (256MiB default) after
applyStoredDatabaseOptimizationSettings — setting was stored but never applied
- schemaColumns: add idx_uh_provider_model_timestamp (covers getModelLatencyStats)
and idx_pc_provider_auth_type (covers 6+ provider_connections queries)
- proxyFallback: convert static import to dynamic import() inside error handler
(defers 210ms module load from startup to first proxy-retry scenario)
* perf: add dedup expression index, unref() sweep timers
- Add COALESCE expression index idx_uh_dedup on usage_history
matching the exact dedup query pattern. Eliminates FULL TABLE
SCAN on every saveRequestUsage insert.
- Add composite idx_uh_provider_model_timestamp on usage_history.
- Add composite idx_pc_provider_auth_type on provider_connections.
- Add .unref() to setInterval in batchProcessor.ts (polling loop).
- Add .unref() to setInterval in runtimeHeartbeat.ts (heartbeat).
* perf: bump SQLite cache_size default from 16MB to 64MB
New installs now start with 64MB page cache (was 16MB). Existing
users' stored settings are unchanged. Reduces disk reads for the
typical ~250MB database by keeping ~25% of pages in memory.
Also resolved pre-existing merge conflict in webhooks.ts.
* docs: add Redis production config guide and proxy port clash investigation report
- docs/redis-production-config.md: comprehensive Redis tuning guide
covering client options, server config, Docker settings, scaling,
and monitoring for all three Redis workloads (rate limiting,
auth cache, quota store)
- docs/proxy-port-clash-report.md: investigation confirming proxy
subsystem has no port binding issues; real EADDRINUSE history
traced to process supervisor crash-loop restart race (#4425) and
live-dashboard port clash (#6324), both already fixed
* fix: address PR #7893 review — add Proxy traps, extract migrations to reduce providers.ts size
- Add set trap to PROVIDER_ID_TO_ALIAS Proxy (providerModels.ts)
- Add deleteProperty traps to all three lazy Proxies (PROVIDERS,
PROVIDER_MODELS, PROVIDER_ID_TO_ALIAS)
- Extract autoMigrateLegacyEncryptedConnections and getGheCopilotHosts
from providers.ts (1129→1036 lines, -93) into providers/migrations.ts
- Both functions re-exported via providers.ts for backward compat
File-size ratchet resolved: src/lib/db/providers.ts now 1036 lines.
* fix: resolve merge conflict markers in 3 route/test files
- model-combo-mappings/route.ts: kept upstream version (Zod pagination
via validateBody + isValidationFailure), restored missing return
statement for GET handler
- playground/presets/route.ts: kept stashed version details (satisfies
type-narrowing + inlined Response) — functionally identical
- error-sanitization.test.ts: matches upstream exactly (no diff)
Test verification: same 7 pre-existing failures confirmed on upstream
baseline (c1bdd91e7). Zero regressions from conflict resolution.
Closes remaining uncommitted work from PR #7046 rebase.
* test(db): add resetConnectionBackoff coverage + fix file-size ratchet regression
- Add tests/unit/reset-connection-backoff.test.ts: covers the new
resetConnectionBackoff lightweight-UPDATE helper (clears backoff/error
columns and re-activates a connection, unconditional-write behavior on
terminal statuses, no-op for empty/unknown ids). Zero prior coverage
per pre-merge review of PR #7893 (Hard Rule #8).
- open-sse/services/batchProcessor.ts: fold the new unref() call into the
existing setInterval(...).unref() chain instead of a separate statement,
keeping the file at the frozen 915-line ratchet (Timeout.unref() already
returns `this`, so no type cast is needed).
- src/lib/localDb.ts: drop one blank separator line so the new
resetConnectionBackoff re-export stays within the frozen 808-line ratchet.
Pre-merge fix for PR #7893 (perf/startup-stream-auth-optimizations) per
/green-prs plan-file _tasks/pipeline/prs/1-analyzed/7893-*.plan.md.
Co-authored-by: Diego Rodrigues de Sa e Souza <diegosouzapw@users.noreply.github.com>
---------
Co-authored-by: oyi77 <oyi77@users.noreply.github.com>
Co-authored-by: Diego Rodrigues de Sa e Souza <diegosouza.pw@gmail.com>
Co-authored-by: Diego Rodrigues de Sa e Souza <diegosouzapw@users.noreply.github.com>
6.6 KiB
Redis Production Configuration Guide
Overview
Redis is an optional, soft dependency in OmniRoute — the application degrades gracefully (in-memory fallbacks) when Redis is unavailable. In production, tuning Redis reduces latency for three distinct workloads:
| Workload | Driver | Client Factory | Key Pattern |
|---|---|---|---|
| Rate limiting | rateLimiter.ts |
getRedisClient() — lazy ioredis singleton |
Lua‑atomic rate limit windows |
| Auth cache | apiKeys.ts |
Reuses rateLimiter's client |
auth:api_key:<sha256> with TTL |
| Quota store | redisQuotaStore.ts |
Separate getRedisClient(url) singleton |
Configurable per-instance |
Current Configuration (Code Defaults)
| Setting | Value | Where |
|---|---|---|
REDIS_URL env var |
redis://redis:6379 (compose), optional |
rateLimiter.ts:5, .env.example |
QUOTA_STORE_REDIS_URL env var |
separate, can differ from REDIS_URL |
quota/storeFactory.ts |
QUOTA_STORE_DRIVER |
"sqlite" (default), "redis" optional |
quota/storeFactory.ts |
ioredis maxRetriesPerRequest |
3 |
rateLimiter.ts client creation |
enableReadyCheck |
not set (ioredis default: true) |
— |
lazyConnect |
not set (ioredis default: false) |
— |
retryStrategy |
not set (ioredis default: 200ms base, exponential) | — |
| TLS / password / DB index | not configured | — |
| Sentinel / Cluster | not configured — standalone single-node only | — |
Recommended Production Tuning
1. Connection Pool / Client Options (ioredis Redis constructor)
The current code creates a single new Redis(url) with no custom options. For production
multi‑replica deployments, pass a client factory in the code or wrap getRedisClient():
const redis = new Redis(REDIS_URL, {
maxRetriesPerRequest: null, // no retry limit; let retryStrategy decide
enableReadyCheck: true, // verify server is ready before accepting calls
lazyConnect: true, // don't connect on construction; wait for first call
retryStrategy: (times) => {
if (times > 10) return null; // give up after 10 retries → reconnect later
return Math.min(times * 200, 5000); // 200ms, 400ms, …, 5s cap
},
enableAutoPipelining: true, // coalesce concurrent commands into one TCP write
keepAlive: 10000, // TCP keep‑alive every 10s
});
Key trade-offs:
maxRetriesPerRequest: null+retryStrategy— preferred for production so transient Redis restarts don't immediately fail every request. The in-memory fallback incheckRateLimit()absorbs the failure path.lazyConnect: true— avoids a startup dependency on Redis being up before the server begins accepting connections.enableAutoPipelining: true— reduces round-trips for concurrent rate-limit checks; beneficial at >50 RPS on a single connection.
2. Redis Server Configuration (redis.conf)
# Memory
maxmemory 80% # leave room for OS page cache
maxmemory-policy allkeys-lru # evict stale auth cache entries under pressure
# Persistence (optional — OmniRoute is crash‑safe without it)
save 300 1 # snapshot at least every 5 min if ≥1 key changed
appendonly no # AOF not needed; data is regeneratable
appendfsync no # no fsync overhead (RDB is sufficient)
# Networking
timeout 0 # no idle disconnect
tcp-keepalive 300 # 5 min keep‑alive
tcp-backlog 511 # connection backlog for bursty load
# Performance
hz 10 # default; 100 for latency‑sensitive
activedefrag yes # auto‑defragment when fragmentation >10%
Trade-off for maxmemory-policy allkeys-lru: Auth cache entries may be evicted under
memory pressure. This is safe — setCachedApiKey always re-populates on miss, and the
SQLite fallback is authoritative. The rate-limiter Lua script creates small keys that are
short-lived by design.
3. Docker Compose Settings
The prod compose (docker-compose.prod.yml) uses redis:8.6.2-alpine. Add:
redis:
image: redis:8.6.2-alpine
command: [
"redis-server",
"--maxmemory", "512mb",
"--maxmemory-policy", "allkeys-lru",
"--activedefrag", "yes",
"--save", "300 1",
]
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 3s
retries: 3
start_period: 5s
4. Multi‑Instance / Scaling Considerations
Single Redis for all replicas — the rate-limiter Lua script depends on a single authoritative key space. Multiple Redis instances behind replicas would lose atomicity and double the budget. Use a single Redis (or Redis Sentinel cluster with failover) for all application replicas.
Connection count: Each application replica opens 2 TCP connections to Redis (rate limiter client + quota store client). At 10 replicas → 20 connections, well within a default Redis instance's 10k connection ceiling.
5. Monitoring
Expose via health-check endpoint:
// src/app/api/monitoring/health/route.ts already calls rateLimiter functions
// Add Redis-specific checks:
// 1. PING latency via ioredis .ping()
// 2. Memory usage via INFO memory
// 3. Connection count via INFO clients
// 4. Hit rate for maxmemory-policy (evicted_keys / keyspace_hits)
Key metrics to watch:
- Evicted keys / sec — if persistently non-zero, increase
maxmemory - Blocked clients — non-zero suggests slow Lua scripts or high contention
- Rejected connections — connection limit hit; rare at 20 connections
Architecture Diagram
flowchart LR
subgraph App["App Replica"]
RL[rateLimiter.ts]
AK[apiKeys.ts]
QS[redisQuotaStore.ts]
end
RL -- "REDIS_URL" --> R1[(Redis\nshared)]
AK -- "reuses RL's client" --> R1
QS -- "QUOTA_STORE_REDIS_URL" --> R2[(Redis\nquota store)]
R1 --> R2 -- "can be same instance" --> R1
References
| File | Purpose |
|---|---|
src/shared/utils/rateLimiter.ts |
Primary Redis client, Lua rate-limit script, in-memory fallback |
src/lib/db/apiKeys.ts |
Auth cache — Redis→SQLite fallback |
src/lib/quota/redisQuotaStore.ts |
Separate Redis client for optional quota store |
src/lib/quota/storeFactory.ts |
Switches between sqlite and redis quota drivers |
docker-compose.prod.yml |
Prod Redis container (image redis:8.6.2-alpine) |
.env.example |
Redis env vars documentation |
src/app/api/local/redis/ |
API routes for dev container orchestration |
bin/cli/commands/redis.mjs |
CLI commands for dev container orchestration |