Merge f72547c9fb into 4645678ff0

Cargo.lock

@@ -5134,6 +5134,7 @@ dependencies = [
  "futures-core",
  "pin-project-lite",
  "tokio",
+ "tokio-util",
 ]
 
 [[package]]

backends/v3/Cargo.toml

@@ -18,7 +18,7 @@ async-trait = "0.1.74"
 async-stream = "0.3.5"
 axum = { version = "0.7", features = ["json"] }
 axum-tracing-opentelemetry = "0.16"
-text-generation-router = { path = "../../router" }
+text-generation-router = { path = "../../router", features = ["engine-state"] }
 clap = { version = "4.4.5", features = ["derive", "env"] }
 grpc-metadata = { path = "../grpc-metadata" }
 futures = "0.3.28"
@@ -37,13 +37,13 @@ slotmap = "1.0.7"
 thiserror = "1.0.48"
 tokenizers = { workspace = true }
 tokio = { version = "1.32.0", features = [
-  "rt",
-  "rt-multi-thread",
-  "parking_lot",
-  "signal",
-  "sync",
+    "rt",
+    "rt-multi-thread",
+    "parking_lot",
+    "signal",
+    "sync",
 ] }
-tokio-stream = "0.1.14"
+tokio-stream = { version = "0.1.14", features = ["sync"] }
 tower-http = { version = "0.5.1", features = ["cors"] }
 tracing = "0.1.37"
 tracing-opentelemetry = "0.21.0"
@@ -51,7 +51,7 @@ tracing-subscriber = { version = "0.3.17", features = ["json", "env-filter"] }
 utoipa = { version = "4.2.0", features = ["axum_extras"] }
 utoipa-swagger-ui = { version = "6.0.0", features = ["axum"] }
 init-tracing-opentelemetry = { version = "0.14.1", features = [
-  "opentelemetry-otlp",
+    "opentelemetry-otlp",
 ] }
 minijinja = { workspace = true }
 minijinja-contrib = { workspace = true }

backends/v3/src/backend.rs

@@ -6,20 +6,32 @@ use crate::queue::{Entry, Queue};
 use async_trait::async_trait;
 use nohash_hasher::IntMap;
 use std::sync::Arc;
-use text_generation_router::infer::{Backend, GeneratedText, InferError, InferStreamResponse};
+use text_generation_router::infer::{
+    Backend, EngineState, GeneratedText, InferError, InferStreamResponse,
+};
 use text_generation_router::validation::ValidGenerateRequest;
 use text_generation_router::{FinishReason, PrefillToken, Token};
+use tokio::sync::broadcast::{channel, Receiver as BroadcastReceiver, Sender as BroadcastSender};
 use tokio::sync::mpsc::error::SendError;
-use tokio::sync::{mpsc, Notify};
+use tokio::sync::{mpsc, Notify, RwLock};
 use tokio::time::Instant;
 use tokio_stream::wrappers::UnboundedReceiverStream;
 use tracing::{info_span, instrument, Instrument, Span};
 
+
 pub struct BackendV3 {
+    /// Internal batching state exposing info for the proxy
+    state: Arc<RwLock<EngineState>>,
+
     /// Request queue
     queue: Queue,
+
+    /// Events streaming channel
+    state_events: (BroadcastSender<EngineState>, BroadcastReceiver<EngineState>),
+
     /// Notify batcher on queue appends
     batching_task_notifier: Arc<Notify>,
+
     /// Client clone, used for health checks to skip the queue
     client: ShardedClient,
 }
@@ -41,6 +53,12 @@ impl BackendV3 {
 
         let block_size = shard_info.block_size;
 
+        let state_events = channel(1);
+        let state = Arc::new(RwLock::new(EngineState::new(
+            max_batch_total_tokens,
+            2 * max_batch_total_tokens,
+        )));
+
         let queue = Queue::new(
             shard_info.requires_padding,
             block_size,
@@ -49,6 +67,8 @@ impl BackendV3 {
             shard_info.speculate,
             max_batch_total_tokens,
             shard_info.support_chunking,
+            Arc::clone(&state),
+            state_events.0.clone(),
         );
         let batching_task_notifier = Arc::new(Notify::new());
 
@@ -62,10 +82,14 @@ impl BackendV3 {
             max_batch_size,
             shard_info.support_chunking,
             queue.clone(),
+            state.clone(),
+            state_events.0.clone(),
             batching_task_notifier.clone(),
         ));
 
         Self {
+            state,
+            state_events,
             queue,
             batching_task_notifier,
             client,
@@ -112,6 +136,10 @@ impl Backend for BackendV3 {
         .is_ok()
     }
 
+    fn events(&self) -> BroadcastReceiver<EngineState> {
+        self.state_events.0.subscribe()
+    }
+
     fn start_health(&self) -> bool {
         true
     }
@@ -135,6 +163,8 @@ pub(crate) async fn batching_task(
     max_batch_size: Option<usize>,
     support_chunking: bool,
     queue: Queue,
+    engine_state: Arc<RwLock<EngineState>>,
+    batch_events: BroadcastSender<EngineState>,
     notifier: Arc<Notify>,
 ) {
     // Infinite loop
@@ -170,6 +200,22 @@ pub(crate) async fn batching_task(
                 metrics::gauge!("tgi_batch_current_size").set(batch_size as f64);
                 metrics::gauge!("tgi_batch_current_max_tokens").set(batch_max_tokens as f64);
 
+                // Dispatch new state to the proxy
+                {
+                    // Critical section, doing as little as possible here
+                    {
+                        let mut engine_state = engine_state.write().await;
+                        engine_state.in_flight = batch_max_tokens;
+                    }
+
+                    // Send new state to the channel for broadcasting
+                    if let Err(err) = batch_events.send(*engine_state.read().await) {
+                        tracing::warn!(
+                            "Failed to send BatchEvent::BatchChanged({batch_max_tokens}): {err}"
+                        )
+                    }
+                }
+
                 let token_budget = max_batch_total_tokens.saturating_sub(batch_max_tokens);
 
                 let (min_size, max_size, prefill_token_budget) = if support_chunking {

backends/v3/src/queue.rs

@@ -6,14 +6,17 @@ use crate::client::{
 use nohash_hasher::{BuildNoHashHasher, IntMap};
 use std::cmp::max;
 use std::collections::VecDeque;
-use text_generation_router::infer::InferError;
+use std::sync::Arc;
 use text_generation_router::infer::InferStreamResponse;
+use text_generation_router::infer::{EngineState, InferError};
 use text_generation_router::validation::{
     Chunk, ChunksToString, ValidGenerateRequest, ValidGrammar, ValidParameters,
     ValidStoppingParameters,
 };
-use tokio::sync::{mpsc, oneshot};
+use tokio::sync::broadcast::Sender as BroadcastSender;
+use tokio::sync::{mpsc, oneshot, RwLock};
 use tokio::time::Instant;
+use tracing::log::warn;
 use tracing::{info_span, instrument, Instrument, Span};
 
 /// Queue entry
@@ -51,6 +54,8 @@ impl Queue {
         speculate: u32,
         max_batch_total_tokens: u32,
         support_chunking: bool,
+        engine_state: Arc<RwLock<EngineState>>,
+        queue_events: BroadcastSender<EngineState>,
     ) -> Self {
         // Create channel
         let (queue_sender, queue_receiver) = mpsc::unbounded_channel();
@@ -64,7 +69,9 @@ impl Queue {
             speculate,
             max_batch_total_tokens,
             support_chunking,
+            engine_state,
             queue_receiver,
+            queue_events,
         ));
 
         Self { queue_sender }
@@ -113,7 +120,7 @@ impl Queue {
     }
 }
 
-// Background task responsible of the queue state
+// Background task responsible for the queue state
 #[allow(clippy::too_many_arguments)]
 async fn queue_task(
     requires_padding: bool,
@@ -123,7 +130,9 @@ async fn queue_task(
     speculate: u32,
     max_batch_total_tokens: u32,
     support_chunking: bool,
+    engine_state: Arc<RwLock<EngineState>>,
     mut receiver: mpsc::UnboundedReceiver<QueueCommand>,
+    queue_events: BroadcastSender<EngineState>,
 ) {
     let mut state = State::new(
         requires_padding,
@@ -138,8 +147,29 @@ async fn queue_task(
     while let Some(cmd) = receiver.recv().await {
         match cmd {
             QueueCommand::Append(entry, span) => {
+                let entry_num_tokens = entry.request.input_length;
                 span.in_scope(|| state.append(*entry));
                 metrics::gauge!("tgi_queue_size").increment(1.0);
+                metrics::gauge!("tgi_queue_size_tokens").increment(entry_num_tokens);
+
+                // Dispatch new state to the proxy
+                {
+                    // Lock free operation (read)
+                    let num_queued_tokens = engine_state.read().await.in_queue;
+                    {
+                        // Critical section, doing as little as possible here
+                        let mut engine_state = engine_state.write().await;
+                        engine_state.in_queue = num_queued_tokens + entry_num_tokens;
+                    }
+
+                    // Send new state to the channel for broadcasting
+                    if let Err(err) = queue_events.send(*engine_state.read().await) {
+                        tracing::warn!(
+                            "Failed to send BatchEvent::QueueChanged({}): {err}",
+                            num_queued_tokens + entry_num_tokens
+                        )
+                    }
+                }
             }
             QueueCommand::NextBatch {
                 min_size,
@@ -154,7 +184,33 @@ async fn queue_task(
                     .instrument(span)
                     .await;
                 response_sender.send(next_batch).unwrap();
-                metrics::gauge!("tgi_queue_size").set(state.entries.len() as f64);
+
+                {
+                    let num_batch_tokens = state
+                        .entries
+                        .iter()
+                        .map(|(_, e)| e.request.input_length)
+                        .sum::<u32>();
+                    metrics::gauge!("tgi_queue_size").set(state.entries.len() as f64);
+                    metrics::gauge!("tgi_queue_size_tokens").set(num_batch_tokens as f64);
+
+                    // Dispatch new state to the proxy
+                    {
+                        // Critical section, doing as little as possible here
+                        {
+                            let mut engine_state = engine_state.write().await;
+                            engine_state.in_queue = num_batch_tokens;
+                        }
+
+                        // Send new state to the channel for broadcasting
+                        if let Err(err) = queue_events.send(*engine_state.read().await) {
+                            tracing::warn!(
+                                "Failed to send BatchEvent::QueueChanged({}): {err}",
+                                num_batch_tokens
+                            )
+                        }
+                    }
+                }
             }
         }
     }

router/Cargo.toml

@@ -31,11 +31,11 @@ serde_json = "1.0.107"
 thiserror = "1.0.48"
 tokenizers = { workspace = true }
 tokio = { version = "1.32.0", features = [
-  "rt",
-  "rt-multi-thread",
-  "parking_lot",
-  "signal",
-  "sync",
+    "rt",
+    "rt-multi-thread",
+    "parking_lot",
+    "signal",
+    "sync",
 ] }
 tokio-stream = "0.1.14"
 tower-http = { version = "0.5.1", features = ["cors"] }
@@ -46,7 +46,7 @@ utoipa = { version = "4.2.0", features = ["axum_extras"] }
 utoipa-swagger-ui = { version = "6.0.0", features = ["axum"] }
 ngrok = { version = "0.13.1", features = ["axum"], optional = true }
 init-tracing-opentelemetry = { version = "0.14.1", features = [
-  "opentelemetry-otlp",
+    "opentelemetry-otlp",
 ] }
 minijinja = { workspace = true, features = ["loop_controls"] }
 minijinja-contrib = { workspace = true }
@@ -57,9 +57,9 @@ image = "0.25.1"
 base64 = { workspace = true }
 sysinfo = "0.30.13"
 uuid = { version = "1.9.1", default-features = false, features = [
-  "v4",
-  "fast-rng",
-  "macro-diagnostics",
+    "v4",
+    "fast-rng",
+    "macro-diagnostics",
 ] }
 csv = "1.3.0"
 ureq = "=2.9"
@@ -73,5 +73,6 @@ vergen = { version = "8.2.5", features = ["build", "git", "gitcl"] }
 [features]
 default = ["ngrok"]
 ngrok = ["dep:ngrok"]
+engine-state = []
 google = []
 kserve = []

router/src/infer/mod.rs

@@ -19,12 +19,43 @@ use serde::Serialize;
 use std::sync::atomic::{AtomicBool, Ordering};
 use std::sync::Arc;
 use thiserror::Error;
+use tokio::sync::broadcast::Receiver;
 use tokio::sync::{OwnedSemaphorePermit, Semaphore, TryAcquireError};
 use tokio::time::Instant;
 use tokio_stream::wrappers::UnboundedReceiverStream;
 use tokio_stream::StreamExt;
 use tracing::instrument;
 
+/// Store real-time information about batch engine usage (expressed in tokens)
+#[cfg(feature = "engine-state")]
+#[derive(Debug, Copy, Clone, Serialize)]
+pub struct EngineState {
+    /// Number of tokens currently participating in current batch
+    pub in_flight: u32,
+
+    /// Maximum number of tokens which can participate in a batch
+    pub in_flight_max: u32,
+
+    /// Number of tokens currently waiting in the queue for future batching
+    pub in_queue: u32,
+
+    /// Maximum number of tokens which can wait in the queue for future batching
+    pub in_queue_max: u32,
+}
+
+#[cfg(feature = "engine-state")]
+impl EngineState {
+    #[inline]
+    pub fn new(in_flight_max: u32, in_queue_max: u32) -> Self {
+        EngineState {
+            in_flight: 0,
+            in_flight_max,
+            in_queue: 0,
+            in_queue_max,
+        }
+    }
+}
+
 #[async_trait]
 pub trait Backend {
     fn schedule(
@@ -34,6 +65,11 @@ pub trait Backend {
 
     async fn health(&self, current_health: bool) -> bool;
 
+    /// Gets a reference to receiving-side channel generating events about the current internal
+    /// batching engine state
+    #[cfg(feature = "engine-state")]
+    fn events(&self) -> Receiver<EngineState>;
+
     /// The state of the health on startup
     /// Typically false, or true if the backend includes
     /// a warmup phase.
@@ -95,6 +131,12 @@ impl Infer {
         }
     }
 
+    #[cfg(feature = "engine-state")]
+    #[inline]
+    pub(crate) fn events(&self) -> Receiver<EngineState> {
+        self.backend.events()
+    }
+
     /// Add a new request to the queue and return a stream of InferStreamResponse
     #[instrument(skip_all)]
     pub(crate) async fn generate_stream<'a>(

router/src/server.rs

@@ -61,11 +61,13 @@ use tokio::select;
 use tokio::signal;
 use tokio::sync::oneshot;
 use tokio::time::Instant;
+use tokio_stream::wrappers::BroadcastStream;
 use tower_http::cors::{AllowOrigin, CorsLayer};
 use tracing::{info_span, instrument, Instrument};
 use utoipa::OpenApi;
 use utoipa_swagger_ui::SwaggerUi;
 
+
 fn encoding_to_tokens(encoding: &tokenizers::Encoding, input: &str) -> Vec<SimpleToken> {
     let offsets = encoding.get_offsets();
     let input_ids = encoding.get_ids();
@@ -1309,6 +1311,28 @@ async fn metrics(prom_handle: Extension<PrometheusHandle>) -> String {
     prom_handle.render()
 }
 
+#[utoipa::path(get, tag = "Text Generation Inference", path = "/state")]
+#[instrument(skip_all)]
+async fn state(
+    Extension(infer): Extension<Infer>,
+) -> Result<Sse<impl Stream<Item = Result<Event, axum::Error>>>, StatusCode> {
+    if cfg!(feature = "engine-state") {
+        let stream = infer.events();
+        let sse =
+            Sse::new(BroadcastStream::from(stream).map(|state| {
+                Event::default().json_data(state.map_err(|err| axum::Error::new(err))?)
+            }))
+            .keep_alive(
+                KeepAlive::new()
+                    .interval(Duration::from_secs(5))
+                    .text("more_open_models_on_hf"),
+            );
+        Ok(sse)
+    } else {
+        Err(StatusCode::NOT_IMPLEMENTED)
+    }
+}
+
 #[derive(Clone, Debug)]
 pub(crate) struct ComputeType(String);
 
@@ -1328,6 +1352,7 @@ metrics,
 openai_get_model_info,
 sagemaker_compatibility,
 get_chat_tokenize,
+state,
 ),
 components(
 schemas(
@@ -2007,6 +2032,11 @@ async fn start(
         "Current batch size"
     );
     metrics::describe_gauge!("tgi_queue_size", metrics::Unit::Count, "Current queue size");
+    metrics::describe_gauge!(
+        "tgi_queue_size_tokens",
+        metrics::Unit::Count,
+        "Current queue size in number of tokens"
+    );
     metrics::describe_gauge!(
         "tgi_batch_current_max_tokens",
         metrics::Unit::Count,
@@ -2203,6 +2233,7 @@ async fn start(
         .route("/health", get(health))
         .route("/ping", get(health))
         .route("/metrics", get(metrics))
+        .route("/state", get(state))
         .route("/v1/models", get(openai_get_model_info));
 
     let compute_type =