Cache
The cache is an optional in-memory (RAM) server that stores RPC responses so repeat reads — finalised-block calls, archive lookups, contract-state reads — don't hit an upstream node twice. It's the single biggest lever on both cost (fewer billed upstream calls) and tail latency (a hit returns immediately).
It's the same smartrouter binary, run as a separate process via the cache
subcommand. One cache can be shared by many router instances.
Pick a backend
The sidecar on this page is the default and needs no extra infrastructure. Two options change where entries live, or how many places the router looks:
| Option | What it gives you |
|---|---|
| Cache sidecar (this page) | In-memory, per process. Shared by many routers over gRPC. No external dependency. |
| Redis / Valkey backend | The router runs the same cache engine in-process against a RESP-compatible store — so the cache survives restarts, is shared by every replica, and can fail over or replicate across regions. Replaces the sidecar. |
| Secondary cache | A second cache the router only ever reads, consulted on a primary miss before falling through to your upstreams. Typically another zone's cache. Adds to the primary, whichever backend that is. |
The last two are independent of each other: a router can read a secondary tier whether its primary is the sidecar or a RESP backend.
How the router finds it
The router connects to the cache through cache-be: in the config file, not a flag:
Don't pass --cache-be when the address is in the config
An explicitly-passed --cache-be flag (even empty) outranks the YAML cache-be: in
the config loader — so passing it can silently disable caching. Set it in one
place; the config is the recommended one.
Run it
What's actually cached
An entry is keyed by (chain, API interface, method, params, resolved block) — the
JSON-RPC id is stripped before keying and restored on the way out, so the same query
with different ids shares one entry. What gets stored:
- Read responses tied to a specific block — the bulk of cache value. A call against a
block at or beyond the chain's finalization distance is finalised: immutable, so it
can be held for a long time.
eth_getBlockByNumber,eth_getTransactionReceipt,eth_getLogsover a finalised range,eth_call/eth_getBalanceat a fixed block, and their REST/Tendermint/Cosmos equivalents are the sweet spot. - "Latest"-style reads (non-finalised) — cached only briefly, because the answer changes as the chain advances. A longer non-finalised TTL means fewer upstream calls but staler "latest" data — that's the main tuning trade-off.
- Block hash → height mappings — small, long-lived lookups the router reuses to resolve block references.
- Finalised node errors — a deterministic error on a finalised block is itself cacheable (briefly), so a known-bad query isn't re-sent to every node.
What is not cached: writes (eth_sendRawTransaction and the like), pending/latest
mutable state beyond its short TTL, and anything a client marks
lava-force-cache-refresh. Which methods
are cacheable at all comes from each chain's spec
categories, not a setting on the cache.
Tuning flags
Flags for smartrouter cache <host:port>:
| Flag | Default | Purpose |
|---|---|---|
--metrics_address |
disabled |
Prometheus metrics address (e.g. 0.0.0.0:5555). |
--max-items |
2147483648 |
Max number of entries to keep. |
--expiration |
1h |
TTL for finalised entries. |
--expiration-non-finalized |
500ms |
TTL for non-finalised ("latest") entries. |
--expiration-multiplier |
1.0 |
Multiplier on the finalised TTL (1.2 = 20% longer). |
--expiration-non-finalized-multiplier |
1.0 |
Multiplier on the non-finalised TTL. |
--expiration-blocks-hashes-to-heights |
48h |
TTL for block-hash→height mappings. |
--expiration-finalized-node-errors |
250ms |
TTL for cached finalised node errors. |
--log_level |
info |
Cache log level. |
The cache also accepts the same --pyroscope-* profiling
flags as the router.
Sharing state across routers
When several router instances share one cache, add --shared-state to the routers so
they also share three things through it:
- consumer-consistency state — their "seen block" views stay aligned, so a client that just read block N from one replica is not served N-1 by another;
- chain-tracker poll observations — each replica publishes the upstream polls it makes and borrows fresh ones from the others, so every upstream is polled about once per interval fleet-wide instead of once per replica. This is the lever that stops the router's own polling load from growing with the replica count;
- sticky sessions — a
lava-stickinessid resolves to the same upstream on every replica. Without the flag stickiness stays pod-local.
The seen-block state and sticky sessions travel through either backend. The chain-tracker
gate is a sidecar RPC, so it requires cache-be:; a router on the
RESP backend polls locally and logs a warning.
See the CLI reference for the safety floors and
rpc_endpoint_tracker_gate_skips_total
for how to confirm it is working.
Observability
The cache exposes Prometheus metrics on its --metrics_address (e.g. :5555):
The router reports its own view on :7779 — smartrouter_cache_requests_total,
_success_total, _failed_total, and _latency_milliseconds, each labelled with the
cache_tier that answered (primary or secondary). See the
Metrics reference.