// 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 pythonize::{depythonize, pythonize}; use std::collections::HashMap; use std::sync::atomic::AtomicU32; use tokio_stream::StreamExt; use super::*; use llm_rs::kv_router::indexer::compute_block_hash_for_seq; use llm_rs::kv_router::indexer::KvIndexerInterface; use llm_rs::kv_router::protocols::ForwardPassMetrics as RsForwardPassMetrics; use llm_rs::kv_router::protocols::KvStats as RsKvStats; use llm_rs::kv_router::protocols::SpecDecodeStats as RsSpecDecodeStats; use llm_rs::kv_router::protocols::WorkerStats as RsWorkerStats; use rs::traits::events::EventSubscriber; use tracing; use llm_rs::kv_router::protocols::*; use llm_rs::kv_router::publisher::{create_stored_blocks, KvEventSourceConfig}; use llm_rs::protocols::common::{OutputOptions, SamplingOptions, StopConditions}; #[pyfunction] pub fn compute_block_hash_for_seq_py(tokens: Vec, kv_block_size: usize) -> PyResult> { if kv_block_size == 0 { return Err(to_pyerr(anyhow::anyhow!("kv_block_size cannot be 0"))); } let hashes = compute_block_hash_for_seq(&tokens, kv_block_size as u32); Ok(hashes.into_iter().map(|h| h.0).collect()) } #[pyclass] pub(crate) struct WorkerMetricsPublisher { inner: Arc, } #[pymethods] impl WorkerMetricsPublisher { #[new] fn new() -> PyResult { let inner = llm_rs::kv_router::publisher::WorkerMetricsPublisher::new().map_err(to_pyerr)?; Ok(Self { inner: inner.into(), }) } #[pyo3(signature = (component, metrics_labels = None))] fn create_endpoint<'p>( &self, py: Python<'p>, component: Component, metrics_labels: Option>, ) -> PyResult> { let rs_publisher = self.inner.clone(); let rs_component = component.inner.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { // Convert Python labels to Option<&[(&str, &str)]> expected by Rust API let metrics_labels_ref: Option> = if let Some(metrics_labels) = metrics_labels.as_ref() { if metrics_labels.is_empty() { None } else { Some( metrics_labels .iter() .map(|(k, v)| (k.as_str(), v.as_str())) .collect(), ) } } else { None }; rs_publisher .create_endpoint(rs_component, metrics_labels_ref.as_deref()) .await .map_err(to_pyerr)?; Ok(()) }) } #[pyo3(signature = (metrics))] fn publish(&self, _py: Python, metrics: &ForwardPassMetrics) -> PyResult<()> { // Create and publish the complete metrics self.inner .publish(metrics.0.clone().into()) .map_err(to_pyerr) } } #[pyclass] #[derive(Clone)] pub struct ZmqKvEventPublisherConfig { #[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 ZmqKvEventPublisherConfig { #[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 ZmqKvEventPublisher { inner: llm_rs::kv_router::publisher::KvEventPublisher, } #[pymethods] impl ZmqKvEventPublisher { #[new] fn new(component: Component, config: ZmqKvEventPublisherConfig) -> PyResult { let inner = llm_rs::kv_router::publisher::KvEventPublisher::new( component.inner, config.worker_id, config.kv_block_size as u32, Some(KvEventSourceConfig::Zmq { endpoint: config.zmq_endpoint, topic: config.zmq_topic, }), ) .map_err(to_pyerr)?; Ok(Self { inner }) } fn shutdown(&mut self) { self.inner.shutdown() } } /// A ZMQ-based key-value cache event listener that operates independently /// of the dynamo runtime or event plane infrastructure. #[pyclass] pub(crate) struct ZmqKvEventListener { event_receiver: Arc>>, shutdown_token: tokio_util::sync::CancellationToken, } #[pymethods] impl ZmqKvEventListener { #[new] fn new(zmq_endpoint: String, zmq_topic: String, kv_block_size: usize) -> PyResult { if kv_block_size == 0 { return Err(to_pyerr(anyhow::anyhow!("kv_block_size cannot be 0"))); } let runtime = pyo3_async_runtimes::tokio::get_runtime(); runtime.block_on(async { let (tx, rx) = tokio::sync::mpsc::unbounded_channel::(); let shutdown_token = tokio_util::sync::CancellationToken::new(); tokio::spawn(llm_rs::kv_router::publisher::start_zmq_listener( zmq_endpoint, zmq_topic, tx, shutdown_token.clone(), kv_block_size as u32, )); Ok(Self { event_receiver: Arc::new(tokio::sync::Mutex::new(rx)), shutdown_token, }) }) } fn get_events<'p>(&self, py: Python<'p>) -> PyResult> { let receiver = self.event_receiver.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { let mut rx = receiver.lock().await; let mut events = Vec::new(); // Drain all available events while let Ok(event) = rx.try_recv() { events.push(event); } // Convert events to JSON strings let json_events: Result, _> = events.iter().map(serde_json::to_string).collect(); match json_events { Ok(json_strings) => Ok(json_strings), Err(e) => Err(PyErr::new::(format!( "Failed to serialize events to JSON: {}", e ))), } }) } } // manual shutdown needed as it's not tied to the dynamo DRT impl Drop for ZmqKvEventListener { fn drop(&mut self) { self.shutdown_token.cancel(); } } #[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 { if kv_block_size == 0 { return Err(to_pyerr(anyhow::anyhow!("kv_block_size cannot be 0"))); } let inner = llm_rs::kv_router::publisher::KvEventPublisher::new( component.inner, worker_id, kv_block_size as u32, None, ) .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 as u32, &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() } } // NOTE: the user needs to guarantee that this stays single threaded in Python land #[pyclass(unsendable)] pub(crate) struct RadixTree { inner: llm_rs::kv_router::indexer::RadixTree, } #[pymethods] impl RadixTree { #[new] #[pyo3(signature = (expiration_duration_secs=None))] fn new(expiration_duration_secs: Option) -> PyResult { let expiration_duration = expiration_duration_secs.map(std::time::Duration::from_secs_f64); let inner = llm_rs::kv_router::indexer::RadixTree::new_with_frequency(expiration_duration); Ok(Self { inner }) } #[pyo3(signature = (sequence, early_exit=false))] fn find_matches( &self, _py: Python, sequence: Vec, early_exit: bool, ) -> PyResult { let local_block_hashes: Vec = sequence .into_iter() .map(llm_rs::kv_router::protocols::LocalBlockHash) .collect(); let rs_overlap_scores = self.inner.find_matches(local_block_hashes, early_exit); Ok(OverlapScores { inner: rs_overlap_scores, }) } fn apply_event( &mut self, _py: Python, worker_id: i64, kv_cache_event_bytes: &[u8], ) -> PyResult<()> { let kv_cache_event: llm_rs::kv_router::protocols::KvCacheEvent = serde_json::from_slice(kv_cache_event_bytes).map_err(|e| { PyErr::new::(format!( "Failed to deserialize KvCacheEvent: {}", e )) })?; let router_event = llm_rs::kv_router::indexer::RouterEvent::new(worker_id, kv_cache_event); self.inner.apply_event(router_event); Ok(()) } fn remove_worker(&mut self, _py: Python, worker_id: i64) -> PyResult<()> { self.inner.remove_worker(worker_id); Ok(()) } fn clear_all_blocks(&mut self, _py: Python, worker_id: i64) -> PyResult<()> { self.inner.clear_all_blocks(worker_id); Ok(()) } } #[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 as u32, ) .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() as usize } fn find_matches<'p>(&self, py: Python<'p>, sequence: Vec) -> PyResult> { let indexer = self.inner.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { let local_block_hashes: Vec = sequence .into_iter() .map(llm_rs::kv_router::protocols::LocalBlockHash) .collect(); let rs_overlap_scores = indexer .find_matches(local_block_hashes) .await .map_err(to_pyerr)?; Ok(OverlapScores { inner: rs_overlap_scores, }) }) } 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, }) }) } } /// Bindings for the approximate KV indexer. We need to exactly match the regular KV Indexer /// interface, so that the router can switch between the two. #[pyclass] pub(crate) struct ApproxKvIndexer { inner: Arc, } #[pymethods] impl ApproxKvIndexer { #[new] fn new(component: Component, kv_block_size: usize, ttl_secs: f64) -> PyResult { let ttl = tokio::time::Duration::from_secs_f64(ttl_secs); let inner = Arc::new(llm_rs::kv_router::approx::ApproxKvIndexer::new( component.inner.drt().runtime().child_token(), kv_block_size as u32, ttl, )); Ok(Self { inner }) } fn block_size(&self) -> u32 { self.inner.block_size() } fn find_matches_for_request<'p>( &self, py: Python<'p>, token_ids: Vec, ) -> 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, }) }) } fn process_routing_decision_for_request<'p>( &self, py: Python<'p>, tokens: Vec, worker_id: i64, ) -> PyResult> { let indexer = self.inner.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { indexer .process_routing_decision_for_request(tokens.as_slice(), worker_id) .await .map_err(to_pyerr)?; Ok(()) }) } } #[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> { // TODO: update EndpointKvMetrics to match the new ForwardPassMetrics struct let endpoints = self.inner.get_endpoints(); let load_avg = endpoints.load_avg; let load_std = endpoints.load_std; let endpoint_kv_metrics = endpoints .endpoints .into_iter() .map(|(worker_id, endpoint)| { let metrics = endpoint.data; let LoadMetrics::EngineLoadMetrics(fwd_pass_metrics) = metrics else { panic!("Endpoints do not contain forward pass metrics."); }; EndpointKvMetrics { worker_id, request_active_slots: fwd_pass_metrics.worker_stats.request_active_slots, request_total_slots: fwd_pass_metrics.worker_stats.request_total_slots, kv_active_blocks: fwd_pass_metrics.kv_stats.kv_active_blocks, kv_total_blocks: fwd_pass_metrics.kv_stats.kv_total_blocks, num_requests_waiting: fwd_pass_metrics.worker_stats.num_requests_waiting, gpu_cache_usage_perc: fwd_pass_metrics.kv_stats.gpu_cache_usage_perc, gpu_prefix_cache_hit_rate: fwd_pass_metrics.kv_stats.gpu_prefix_cache_hit_rate, } }) .collect(); pyo3_async_runtimes::tokio::future_into_py(py, async move { Ok(AggregatedMetrics { endpoints: endpoint_kv_metrics, load_avg, 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(()) } } #[pyclass] #[repr(transparent)] pub struct ForwardPassMetrics(pub RsForwardPassMetrics); #[pyclass] #[repr(transparent)] pub struct WorkerStats(pub RsWorkerStats); #[pyclass] #[repr(transparent)] pub struct KvStats(pub RsKvStats); #[pyclass] #[repr(transparent)] pub struct SpecDecodeStats(pub RsSpecDecodeStats); #[pymethods] impl ForwardPassMetrics { #[new] #[pyo3(signature = (worker_stats, kv_stats, spec_decode_stats = None))] fn new( worker_stats: &WorkerStats, kv_stats: &KvStats, spec_decode_stats: Option<&SpecDecodeStats>, ) -> Self { Self(RsForwardPassMetrics { worker_stats: worker_stats.0.clone(), kv_stats: kv_stats.0.clone(), spec_decode_stats: spec_decode_stats.map(|s| s.0.clone()), }) } } #[pymethods] impl WorkerStats { #[new] #[pyo3(signature = (request_active_slots, request_total_slots, num_requests_waiting, data_parallel_rank=None))] fn new( request_active_slots: u64, request_total_slots: u64, num_requests_waiting: u64, data_parallel_rank: Option, ) -> Self { Self(RsWorkerStats { data_parallel_rank, request_active_slots, request_total_slots, num_requests_waiting, }) } } #[pymethods] impl KvStats { #[new] #[pyo3(signature = (kv_active_blocks, kv_total_blocks, gpu_cache_usage_perc, gpu_prefix_cache_hit_rate))] fn new( kv_active_blocks: u64, kv_total_blocks: u64, gpu_cache_usage_perc: f32, gpu_prefix_cache_hit_rate: f32, ) -> Self { Self(RsKvStats { kv_active_blocks, kv_total_blocks, gpu_cache_usage_perc, gpu_prefix_cache_hit_rate, }) } } #[pymethods] impl SpecDecodeStats { #[new] #[pyo3(signature = (num_spec_tokens, num_drafts, num_draft_tokens, num_accepted_tokens, num_accepted_tokens_per_pos))] fn new( num_spec_tokens: Option, num_drafts: Option, num_draft_tokens: Option, num_accepted_tokens: Option, num_accepted_tokens_per_pos: Option>, ) -> Self { Self(RsSpecDecodeStats { num_spec_tokens, num_drafts, num_draft_tokens, num_accepted_tokens, num_accepted_tokens_per_pos, }) } } #[pyclass] pub(crate) struct KvPushRouter { inner: Arc, } #[pymethods] impl KvPushRouter { #[new] fn new( endpoint: &Endpoint, block_size: usize, kv_router_config: &super::entrypoint::KvRouterConfig, ) -> PyResult { let runtime = pyo3_async_runtimes::tokio::get_runtime(); runtime.block_on(async move { let client = endpoint.inner.client().await.map_err(to_pyerr)?; // Create PushRouter with KV router mode let push_router = rs::pipeline::PushRouter::< llm_rs::protocols::common::preprocessor::PreprocessedRequest, rs::protocols::annotated::Annotated< llm_rs::protocols::common::llm_backend::LLMEngineOutput, >, >::from_client( client, rs::pipeline::network::egress::push_router::RouterMode::KV, ) .await .map_err(to_pyerr)?; // Get component from endpoint let component = endpoint.inner.component(); // Create KvRouter let kv_router = llm_rs::kv_router::KvRouter::new( component.clone(), block_size as u32, None, // default selector Some(kv_router_config.inner()), ) .await .map_err(to_pyerr)?; // Create KvPushRouter let kv_push_router = llm_rs::kv_router::KvPushRouter::new(push_router, Arc::new(kv_router)); Ok(Self { inner: Arc::new(kv_push_router), }) }) } #[allow(clippy::too_many_arguments)] #[pyo3(signature = (token_ids, model, stop_conditions=None, sampling_options=None, output_options=None, router_config_override=None))] fn generate<'p>( &self, py: Python<'p>, token_ids: Vec, model: String, stop_conditions: Option, sampling_options: Option, output_options: Option, router_config_override: Option, ) -> PyResult> { // Depythonize the options with defaults let (stop_conditions, sampling_options, output_options, router_config_override) = Python::with_gil(|py| { let stop_conditions: StopConditions = if let Some(obj) = stop_conditions { depythonize(obj.bind(py)).map_err(to_pyerr)? } else { StopConditions::default() }; let sampling_options: SamplingOptions = if let Some(obj) = sampling_options { depythonize(obj.bind(py)).map_err(to_pyerr)? } else { SamplingOptions::default() }; let output_options: OutputOptions = if let Some(obj) = output_options { depythonize(obj.bind(py)).map_err(to_pyerr)? } else { OutputOptions::default() }; let router_config_override: Option = if let Some(obj) = router_config_override { Some(depythonize(obj.bind(py)).map_err(to_pyerr)?) } else { None }; Ok::<_, PyErr>(( stop_conditions, sampling_options, output_options, router_config_override, )) })?; // Build the PreprocessedRequest let request = llm_rs::protocols::common::preprocessor::PreprocessedRequest::builder() .model(model) .token_ids(token_ids) .stop_conditions(stop_conditions) .sampling_options(sampling_options) .output_options(output_options) .router_config_override(router_config_override) .build() .map_err(to_pyerr)?; let inner = self.inner.clone(); // Create a Python async generator that wraps the Rust stream pyo3_async_runtimes::tokio::future_into_py(py, async move { use rs::pipeline::{AsyncEngine, SingleIn}; use tokio_stream::StreamExt; let single_in = SingleIn::new(request); let stream = inner.generate(single_in).await.map_err(to_pyerr)?; let (tx, rx) = tokio::sync::mpsc::channel(100); // Spawn a task to process the stream tokio::spawn(async move { let mut stream = stream; while let Some(response) = stream.next().await { // Convert LLMEngineOutput to PyObject let py_response = Python::with_gil(|py| { pythonize(py, &response.data) .map(|obj| obj.unbind()) .map_err(|e| e.to_string()) }); match py_response { Ok(obj) => { if tx.send(obj).await.is_err() { break; // Receiver dropped } } Err(e) => { tracing::error!("Failed to pythonize response: {}", e); break; } } } }); // Return a Python async generator wrapper Ok(KvPushRouterStream { rx: Arc::new(tokio::sync::Mutex::new(rx)), }) }) } } // Python async generator wrapper for the stream #[pyclass] pub(crate) struct KvPushRouterStream { rx: Arc>>, } #[pymethods] impl KvPushRouterStream { #[pyo3(name = "__aiter__")] fn aiter(slf: Bound<'_, Self>) -> PyResult> { Ok(slf.clone().into_any().unbind()) } #[pyo3(name = "__anext__")] fn anext<'p>(&self, py: Python<'p>) -> PyResult> { let rx = self.rx.clone(); pyo3_async_runtimes::tokio::future_into_py(py, async move { let mut rx = rx.lock().await; match rx.recv().await { Some(obj) => Ok(obj), None => Err(pyo3::exceptions::PyStopAsyncIteration::new_err( "Stream exhausted", )), } }) } }