litellm/litellm-rust/crates/cache/tests/caching.rs
devin-ai-integration[bot] 4677f1028e
refactor(rust): align the cache crates with Python and wire every native backend (#42530)
* refactor(rust): align the cache crates with Python and activate every backend

The cache port had drifted: lifecycle and Redis-only operations sat on
`BaseCache`, counters were pinned to `f64`, each semantic backend defined its
own embedder and prompt handling, and only the in-memory backend could be
selected natively.

- Split `disconnect` and `test_connection` out of `BaseCache` into optional
  capabilities, implemented only where the Python class defines them, and give
  every Redis-only operation its own capability trait.
- Decouple counters from the stored value type, so one backend can serve both
  responses and counters as Python's `RedisCache` does.
- Share one `Embedder` and prompt contract in `litellm_cache::semantic`, and
  make the Redis and Valkey semantic backends generic over their codec.
- Port the Python operations that were missing: `async_refresh_ttl`,
  `async_rpush_and_trim`, `async_set_cache_pipeline_with_ttls`, the DualCache
  pipeline, sadd, bulk delete and TTL reads, and the semantic-similarity
  write-back.
- Take the HTTP client from the host pool in the GCS, S3 and Azure backends.
- Activate all nine backends through the Rust catalog, whose rules all stay
  `PYTHON_ONLY`, and route the `Cache` facade's storage calls to the native
  runtime when one is selected.
- Give every crate the same layout, move all tests to `tests/` on rstest, and
  add the shared `litellm-cache-testing` contract suite.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* fix: freeze native cache request kwargs and batch entries for type discipline

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix: declare semantic lookup methods in the native stub

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* refactor(rust): align the cache crates with Python and activate every backend

The cache port had drifted: lifecycle and Redis-only operations sat on
`BaseCache`, counters were pinned to `f64`, each semantic backend defined its
own embedder and prompt handling, and only the in-memory backend could be
selected natively.

- Split `disconnect` and `test_connection` out of `BaseCache` into optional
  capabilities, implemented only where the Python class defines them, and give
  every Redis-only operation its own capability trait.
- Decouple counters from the stored value type, so one backend can serve both
  responses and counters as Python's `RedisCache` does.
- Share one `Embedder` and prompt contract in `litellm_cache::semantic`, and
  make the Redis and Valkey semantic backends generic over their codec.
- Port the Python operations that were missing: `async_refresh_ttl`,
  `async_rpush_and_trim`, `async_set_cache_pipeline_with_ttls`, the DualCache
  pipeline, sadd, bulk delete and TTL reads, and the semantic-similarity
  write-back.
- Take the HTTP client from the host pool in the GCS, S3 and Azure backends.
- Activate all nine backends through the Rust catalog, whose rules all stay
  `PYTHON_ONLY`, and route the `Cache` facade's storage calls to the native
  runtime when one is selected.
- Give every crate the same layout, move all tests to `tests/` on rstest, and
  add the shared `litellm-cache-testing` contract suite.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* fix: freeze native cache request kwargs and batch entries for type discipline

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* fix: declare semantic lookup methods in the native stub

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(rust): opt the native Messages and tokenizer suites into Rust explicitly

#42517 made the Messages, token counter and tokenizer routes Python-only, so
tests/test_litellm_rust silently exercised the Python path or failed outright.
Each suite now prepends a RUST_OPT_IN rule for its route, keeping native
coverage without changing the shipped default.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fix(rust): pop one at a time in the Redis 6 lpop pipeline and drop explanatory comments

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

---------

Co-authored-by: Yujong Lee <yujong@berri.ai>
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
2026-09-22 13:13:02 -07:00

336 lines
8.8 KiB
Rust

use std::{sync::Mutex, time::Duration};
use litellm_cache::{
BaseCache, CacheContext, CounterCache, Error, ExactCacheContext, IncrementOperation,
SemanticCacheContext, get_cache,
};
use rstest::{fixture, rstest};
use serde_json::json;
struct TestCache {
default_ttl: Duration,
writes: Mutex<Vec<(String, String, ExactCacheContext)>>,
}
#[fixture]
fn cache() -> TestCache {
TestCache {
default_ttl: Duration::from_secs(60),
writes: Mutex::default(),
}
}
#[derive(Clone)]
struct SemanticContext {
ttl: Option<Duration>,
query: String,
}
impl CacheContext for SemanticContext {
fn ttl(&self) -> Option<Duration> {
self.ttl
}
fn with_ttl(&self, ttl: Option<Duration>) -> Self {
Self {
ttl,
query: self.query.clone(),
}
}
}
struct SemanticCache;
impl BaseCache for SemanticCache {
type Value = String;
type Context = SemanticContext;
fn get_ttl(&self, context: &Self::Context) -> Option<Duration> {
context.ttl
}
fn set_cache(&self, _: &str, _: Self::Value, _: &Self::Context) -> Result<(), Error> {
Ok(())
}
fn get_cache(&self, _: &str, context: &Self::Context) -> Result<Option<Self::Value>, Error> {
Ok((context.query == "matching prompt").then(|| "semantic hit".into()))
}
}
impl BaseCache for TestCache {
type Value = String;
type Context = ExactCacheContext;
fn get_ttl(&self, context: &Self::Context) -> Option<Duration> {
context.ttl.or(Some(self.default_ttl))
}
fn set_cache(&self, _: &str, _: Self::Value, _: &ExactCacheContext) -> Result<(), Error> {
Err(Error::Unavailable)
}
async fn async_set_cache(
&self,
key: &str,
value: Self::Value,
context: ExactCacheContext,
) -> Result<(), Error> {
if key == "unavailable" {
return Err(Error::Unavailable);
}
self.writes
.lock()
.unwrap()
.push((key.into(), value, context));
Ok(())
}
fn get_cache(&self, _: &str, _: &ExactCacheContext) -> Result<Option<Self::Value>, Error> {
Ok(None)
}
}
/// Records every `async_increment` so the default pipeline's calls are observable.
#[derive(Default)]
struct RecordingCounter {
increments: Mutex<Vec<(String, f64, ExactCacheContext, bool)>>,
total: Mutex<f64>,
}
impl BaseCache for RecordingCounter {
type Value = f64;
type Context = ExactCacheContext;
fn get_ttl(&self, context: &Self::Context) -> Option<Duration> {
context.ttl
}
fn set_cache(&self, _: &str, _: f64, _: &ExactCacheContext) -> Result<(), Error> {
Ok(())
}
fn get_cache(&self, _: &str, _: &ExactCacheContext) -> Result<Option<f64>, Error> {
Ok(None)
}
}
impl CounterCache for RecordingCounter {
fn increment_cache(&self, key: &str, amount: f64, _: ExactCacheContext) -> Result<f64, Error> {
if key == "unavailable" {
return Err(Error::Unavailable);
}
let mut total = self.total.lock().unwrap();
*total += amount;
Ok(*total)
}
async fn async_increment(
&self,
key: &str,
amount: f64,
context: ExactCacheContext,
refresh_ttl: bool,
) -> Result<f64, Error> {
self.increments
.lock()
.unwrap()
.push((key.into(), amount, context.clone(), refresh_ttl));
self.increment_cache(key, amount, context)
}
}
fn operation(key: &str, amount: f64, ttl: Option<u64>) -> IncrementOperation {
IncrementOperation {
key: key.into(),
amount,
ttl: ttl.map(Duration::from_secs),
}
}
#[rstest]
#[case::default_ttl(None, Some(60))]
#[case::per_call_override(Some(5), Some(5))]
fn ttl_uses_default_and_allows_per_call_override(
cache: TestCache,
#[case] ttl: Option<u64>,
#[case] expected: Option<u64>,
) {
assert_eq!(
cache.get_ttl(&ExactCacheContext {
ttl: ttl.map(Duration::from_secs),
}),
expected.map(Duration::from_secs)
);
}
#[rstest]
#[case::matching("matching prompt", Some("semantic hit"))]
#[case::other("other prompt", None)]
fn associated_context_preserves_backend_specific_lookup_inputs(
#[case] query: &str,
#[case] expected: Option<&str>,
) {
let context = SemanticContext {
ttl: None,
query: query.into(),
};
assert_eq!(
get_cache(&SemanticCache, "shared-key", &context).unwrap(),
expected.map(String::from)
);
}
#[rstest]
#[case::set(None, Some(30))]
#[case::replaced(Some(10), Some(20))]
#[case::cleared(Some(10), None)]
fn semantic_context_with_ttl_only_replaces_ttl(
#[case] initial: Option<u64>,
#[case] updated: Option<u64>,
) {
let context = SemanticCacheContext {
input: Some(json!({"input": "hello"})),
messages: Some(json!([{"role": "user", "content": "hello"}])),
metadata: Some(json!({"tenant": "team"})),
scope: Some("scope".into()),
ttl: initial.map(Duration::from_secs),
};
let result = context.with_ttl(updated.map(Duration::from_secs));
assert_eq!(result.ttl(), updated.map(Duration::from_secs));
assert_eq!(result.input, context.input);
assert_eq!(result.messages, context.messages);
assert_eq!(result.metadata, context.metadata);
assert_eq!(result.scope, context.scope);
}
#[rstest]
#[tokio::test]
async fn default_batch_operations_use_async_writes_and_stop_on_failure(cache: TestCache) {
let entry = String::from("cached");
let context = ExactCacheContext {
ttl: Some(Duration::from_secs(5)),
};
cache
.batch_cache_write("single", entry.clone(), context.clone())
.await
.unwrap();
assert_eq!(
cache
.async_set_cache_pipeline(
vec![
("first".into(), entry.clone()),
("unavailable".into(), entry.clone()),
("skipped".into(), entry.clone()),
],
context.clone(),
)
.await,
Err(Error::Unavailable)
);
assert_eq!(
*cache.writes.lock().unwrap(),
vec![
("single".into(), entry.clone(), context.clone()),
("first".into(), entry, context),
]
);
}
#[rstest]
#[tokio::test]
async fn default_async_increment_delegates_to_the_sync_increment() {
struct SyncOnly;
impl BaseCache for SyncOnly {
type Value = f64;
type Context = ExactCacheContext;
fn get_ttl(&self, context: &Self::Context) -> Option<Duration> {
context.ttl
}
fn set_cache(&self, _: &str, _: f64, _: &ExactCacheContext) -> Result<(), Error> {
Ok(())
}
fn get_cache(&self, _: &str, _: &ExactCacheContext) -> Result<Option<f64>, Error> {
Ok(None)
}
}
impl CounterCache for SyncOnly {
fn increment_cache(
&self,
_: &str,
amount: f64,
_: ExactCacheContext,
) -> Result<f64, Error> {
Ok(amount * 10.0)
}
}
for refresh_ttl in [false, true] {
assert_eq!(
SyncOnly
.async_increment("key", 2.0, ExactCacheContext::default(), refresh_ttl)
.await,
Ok(20.0)
);
}
}
#[rstest]
#[case::empty(Vec::new(), Vec::new())]
#[case::one(vec![operation("a", 1.0, Some(10))], vec![1.0])]
#[case::in_order(
vec![operation("a", 1.0, Some(10)), operation("b", 2.5, None), operation("a", -0.5, Some(20))],
vec![1.0, 3.5, 3.0],
)]
#[tokio::test]
async fn default_increment_pipeline_increments_each_operation_in_order(
#[case] operations: Vec<IncrementOperation>,
#[case] expected: Vec<f64>,
) {
let cache = RecordingCounter::default();
assert_eq!(
cache.async_increment_pipeline(operations.clone()).await,
Ok(expected)
);
assert_eq!(
*cache.increments.lock().unwrap(),
operations
.into_iter()
.map(|operation| (
operation.key,
operation.amount,
ExactCacheContext { ttl: operation.ttl },
false,
))
.collect::<Vec<_>>()
);
}
#[rstest]
#[tokio::test]
async fn default_increment_pipeline_stops_at_the_first_failure() {
let cache = RecordingCounter::default();
assert_eq!(
cache
.async_increment_pipeline(vec![
operation("a", 1.0, None),
operation("unavailable", 1.0, None),
operation("skipped", 1.0, None),
])
.await,
Err(Error::Unavailable)
);
let keys = cache
.increments
.lock()
.unwrap()
.iter()
.map(|(key, ..)| key.clone())
.collect::<Vec<_>>();
assert_eq!(keys, ["a", "unavailable"]);
}