// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. // SPDX-License-Identifier: Apache-2.0 // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. use std::collections::HashMap; use std::sync::atomic::AtomicU32; use super::*; use llm_rs::kv_router::indexer::KvIndexerInterface; use rs::traits::events::EventSubscriber; use tracing; use llm_rs::kv_router::protocols::*; use llm_rs::kv_router::publisher::create_stored_blocks; #[pyclass] pub(crate) struct KvRouter { inner: Arc, } #[pymethods] impl KvRouter { #[new] fn new(component: Component, kv_block_size: usize) -> PyResult { let runtime = pyo3_async_runtimes::tokio::get_runtime(); runtime.block_on(async { let inner = llm_rs::kv_router::KvRouter::new(component.inner.clone(), kv_block_size, None) .await .map_err(to_pyerr)?; Ok(Self { inner: Arc::new(inner), }) }) } fn schedule<'p>( &self, py: Python<'p>, token_ids: Vec, lora_id: u64, ) -> PyResult> { let router = self.inner.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { let worker_id = router .schedule(&token_ids, lora_id) .await .map_err(to_pyerr)?; Ok(worker_id) }) } } #[pyclass] pub(crate) struct KvMetricsPublisher { inner: Arc, } #[pymethods] impl KvMetricsPublisher { #[new] fn new() -> PyResult { let inner = llm_rs::kv_router::publisher::KvMetricsPublisher::new().map_err(to_pyerr)?; Ok(Self { inner: inner.into(), }) } #[pyo3(signature = (component))] fn create_endpoint<'p>( &self, py: Python<'p>, component: Component, ) -> PyResult> { let rs_publisher = self.inner.clone(); let rs_component = component.inner.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { rs_publisher .create_endpoint(rs_component) .await .map_err(to_pyerr)?; Ok(()) }) } #[allow(clippy::too_many_arguments)] #[pyo3(signature = (request_active_slots, request_total_slots, kv_active_blocks, kv_total_blocks, num_requests_waiting, gpu_cache_usage_perc, gpu_prefix_cache_hit_rate, data_parallel_rank = 0))] fn publish( &self, _py: Python, request_active_slots: u64, request_total_slots: u64, kv_active_blocks: u64, kv_total_blocks: u64, num_requests_waiting: u64, gpu_cache_usage_perc: f32, gpu_prefix_cache_hit_rate: f32, data_parallel_rank: u32, ) -> PyResult<()> { self.inner .publish( llm_rs::kv_router::protocols::ForwardPassMetrics { data_parallel_rank: Some(data_parallel_rank), request_active_slots, request_total_slots, kv_active_blocks, kv_total_blocks, num_requests_waiting, gpu_cache_usage_perc, gpu_prefix_cache_hit_rate, } .into(), ) .map_err(to_pyerr) } } #[pyclass] #[derive(Clone)] pub struct KvEventPublisherFromZmqConfig { #[pyo3(get, set)] pub worker_id: i64, #[pyo3(get, set)] pub kv_block_size: usize, #[pyo3(get, set)] pub zmq_endpoint: String, #[pyo3(get, set)] pub zmq_topic: String, } #[pymethods] impl KvEventPublisherFromZmqConfig { #[new] #[pyo3(signature = ( worker_id, kv_block_size, zmq_endpoint = "tcp://127.0.0.1:5557".to_string(), zmq_topic = "".to_string() ))] pub fn new( worker_id: i64, kv_block_size: usize, zmq_endpoint: String, zmq_topic: String, ) -> Self { Self { worker_id, kv_block_size, zmq_endpoint, zmq_topic, } } } #[pyclass] pub(crate) struct KvEventPublisherFromZmq { inner: llm_rs::kv_router::publisher::KvEventPublisherFromZmq, } #[pymethods] impl KvEventPublisherFromZmq { #[new] fn new(component: Component, config: KvEventPublisherFromZmqConfig) -> PyResult { let mut inner = llm_rs::kv_router::publisher::KvEventPublisherFromZmq::new(config.kv_block_size); inner.start_background_task( component.inner, config.worker_id, config.zmq_endpoint, config.zmq_topic, ); Ok(Self { inner }) } fn shutdown(&mut self) { self.inner.shutdown() } } #[pyclass] pub(crate) struct KvEventPublisher { inner: Arc, kv_block_size: usize, warning_count: Arc, } #[pymethods] impl KvEventPublisher { #[new] fn new(component: Component, worker_id: i64, kv_block_size: usize) -> PyResult { let inner = llm_rs::kv_router::publisher::KvEventPublisher::new( component.inner, worker_id, kv_block_size, ) .map_err(to_pyerr)?; Ok(Self { inner: inner.into(), kv_block_size, warning_count: Arc::new(AtomicU32::new(0)), }) } #[allow(clippy::too_many_arguments)] #[pyo3(signature = (event_id, token_ids, num_block_tokens, block_hashes, lora_id, parent_hash=None))] fn publish_stored( &mut self, _py: Python, event_id: u64, token_ids: Vec, num_block_tokens: Vec, block_hashes: Vec, lora_id: u64, parent_hash: Option, ) -> PyResult<()> { let event = KvCacheEvent { event_id, data: KvCacheEventData::Stored(KvCacheStoreData { parent_hash: parent_hash.map(ExternalSequenceBlockHash::from), blocks: create_stored_blocks( self.kv_block_size, &token_ids, &num_block_tokens, &block_hashes, lora_id, &self.warning_count, ), }), }; self.inner.publish(event).map_err(to_pyerr) } fn publish_removed(&self, _py: Python, event_id: u64, block_hashes: Vec) -> PyResult<()> { let block_hashes: Vec = block_hashes .iter() .map(|&h| ExternalSequenceBlockHash::from(h)) .collect(); let event = KvCacheEvent { event_id, data: KvCacheEventData::Removed(KvCacheRemoveData { block_hashes }), }; self.inner.publish(event).map_err(to_pyerr) } } #[pyclass] #[derive(Clone)] pub(crate) struct OverlapScores { inner: llm_rs::kv_router::indexer::OverlapScores, } #[pymethods] impl OverlapScores { #[getter] fn scores(&self) -> HashMap { self.inner.scores.clone() } #[getter] fn frequencies(&self) -> Vec { self.inner.frequencies.clone() } } #[pyclass] pub(crate) struct KvIndexer { inner: Arc, } #[pymethods] impl KvIndexer { #[new] fn new(component: Component, kv_block_size: usize) -> PyResult { let runtime = pyo3_async_runtimes::tokio::get_runtime(); runtime.block_on(async { let inner: Arc = llm_rs::kv_router::indexer::KvIndexer::new( component.inner.drt().runtime().child_token(), kv_block_size, ) .into(); // [gluo TODO] try subscribe_with_type::, // error checking below will be different. let mut kv_events_rx = component .inner .subscribe(llm_rs::kv_router::KV_EVENT_SUBJECT) .await .map_err(to_pyerr)?; let kv_events_tx = inner.event_sender(); // [FIXME] this is the added functionality to the indexer to subscribe to kv events, // should have been made to a trait and implemented here? i.e. AsyncEngine style tokio::spawn(async move { while let Some(event) = kv_events_rx.next().await { let event: llm_rs::kv_router::indexer::RouterEvent = serde_json::from_slice(&event.payload).unwrap(); tracing::debug!("received kv event: {:?}", event); if let Err(e) = kv_events_tx.send(event).await { tracing::trace!( "failed to send kv event to indexer; shutting down: {:?}", e ); } } }); Ok(Self { inner }) }) } fn block_size(&self) -> usize { self.inner.block_size() } fn find_matches_for_request<'p>( &self, py: Python<'p>, token_ids: Vec, _lora_id: u64, ) -> PyResult> { let indexer = self.inner.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { let rs_overlap_scores = indexer .find_matches_for_request(token_ids.as_slice()) .await .map_err(to_pyerr)?; Ok(OverlapScores { inner: rs_overlap_scores, }) }) } } #[pyclass] #[derive(Clone)] pub(crate) struct EndpointKvMetrics { #[pyo3(get, set)] pub worker_id: i64, #[pyo3(get, set)] pub request_active_slots: u64, #[pyo3(get, set)] pub request_total_slots: u64, #[pyo3(get, set)] pub kv_active_blocks: u64, #[pyo3(get, set)] pub kv_total_blocks: u64, #[pyo3(get, set)] pub num_requests_waiting: u64, #[pyo3(get, set)] pub gpu_cache_usage_perc: f32, #[pyo3(get, set)] pub gpu_prefix_cache_hit_rate: f32, } #[pyclass] #[derive(Clone)] pub(crate) struct AggregatedMetrics { #[pyo3(get, set)] pub endpoints: Vec, #[pyo3(get, set)] pub load_avg: f64, #[pyo3(get, set)] pub load_std: f64, } #[pyclass] pub(crate) struct KvMetricsAggregator { inner: Arc, } #[pymethods] impl KvMetricsAggregator { #[new] fn new(component: Component) -> PyResult { let runtime = pyo3_async_runtimes::tokio::get_runtime(); runtime.block_on(async { let inner = llm_rs::kv_router::metrics_aggregator::KvMetricsAggregator::new( component.inner.clone(), component.inner.drt().runtime().child_token(), ) .await; Ok(Self { inner: inner.into(), }) }) } fn get_metrics<'p>(&self, py: Python<'p>) -> PyResult> { let endpoints = self.inner.get_endpoints(); let endpoint_kv_metrics = endpoints .endpoints .iter() .map(|(worker_id, x)| EndpointKvMetrics { worker_id: *worker_id, request_active_slots: x.data.request_active_slots, request_total_slots: x.data.request_total_slots, kv_active_blocks: x.data.kv_active_blocks, kv_total_blocks: x.data.kv_total_blocks, num_requests_waiting: x.data.num_requests_waiting, gpu_cache_usage_perc: x.data.gpu_cache_usage_perc, gpu_prefix_cache_hit_rate: x.data.gpu_prefix_cache_hit_rate, }) .collect(); pyo3_async_runtimes::tokio::future_into_py(py, async move { Ok(AggregatedMetrics { endpoints: endpoint_kv_metrics, load_avg: endpoints.load_avg, load_std: endpoints.load_std, }) }) } } #[pyclass] pub(crate) struct KvRecorder { inner: Arc, } #[pymethods] impl KvRecorder { #[new] #[pyo3(signature = (component, output_path=None, max_lines_per_file=None, max_count=None, max_time=None))] fn new( component: Component, output_path: Option, max_lines_per_file: Option, max_count: Option, max_time: Option, ) -> PyResult { let runtime = pyo3_async_runtimes::tokio::get_runtime(); runtime.block_on(async { let token = component.inner.drt().runtime().child_token(); // Create a temp path if none provided let path = match output_path { Some(p) => p, None => { let temp_dir = std::env::temp_dir(); temp_dir .join("kv_events.jsonl") .to_string_lossy() .to_string() } }; let inner = llm_rs::kv_router::recorder::KvRecorder::new( token.clone(), path, max_lines_per_file, max_count, max_time, ) .await .map_err(to_pyerr)?; // Subscribe to KV events let mut kv_events_rx = component .inner .subscribe(llm_rs::kv_router::KV_EVENT_SUBJECT) .await .map_err(to_pyerr)?; let event_tx = inner.event_sender(); // Spawn a task to forward events to the recorder tokio::spawn(async move { while let Some(event) = kv_events_rx.next().await { let event: llm_rs::kv_router::indexer::RouterEvent = serde_json::from_slice(&event.payload).unwrap(); tracing::debug!("KvRecorder received kv event: {:?}", event); if let Err(e) = event_tx.send(event).await { tracing::trace!( "KvRecorder failed to send kv event; shutting down: {:?}", e ); } } }); Ok(Self { inner: Arc::new(inner), }) }) } fn event_count<'py>(&self, py: Python<'py>) -> PyResult> { let recorder = self.inner.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { let count = recorder.event_count().await; Ok(count) }) } fn elapsed_time<'py>(&self, py: Python<'py>) -> PyResult> { let recorder = self.inner.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { match recorder.elapsed_time().await { Ok(elapsed) => Ok(elapsed.as_secs_f64()), Err(_) => Ok(0.0), // Return 0.0 when no events have been received yet } }) } #[pyo3(signature = (indexer, timed=false, max_count=None, max_time=None))] fn replay_events<'py>( &self, py: Python<'py>, indexer: &KvIndexer, timed: bool, max_count: Option, max_time: Option, ) -> PyResult> { let event_tx = indexer.inner.event_sender(); pyo3_async_runtimes::tokio::future_into_py(py, async move { let count = llm_rs::kv_router::recorder::KvRecorder::send_events( "dummy_path", // This doesn't matter as we'll use the provided event_tx &event_tx, timed, max_count, max_time, ) .await .map_err(to_pyerr)?; Ok(count) }) } fn shutdown(&self) -> PyResult<()> { self.inner.shutdown(); Ok(()) } }