server: VRAM-sized KV pool + vLLM-style swap scheduler

Fixes the paged-KV OOM at large --max-seq-len and adds elastic memory:

- Size the GPU block pool to available VRAM (cudaMemGetInfo) instead of the
  worst-case blocks_per_seq * max_batch * 2 reservation, which OOM'd at 8192.
- Scheduler tracks waiting/running/swapped sets: block-aware admission,
  swap-in of resumable sequences when blocks free, and preemption of the
  newest running sequence to host when the pool can't cover a decode step.
- --swap-space-gb (default 8) sizes the pinned host swap pool;
  XSERV_MAX_KV_BLOCKS forces a small pool to exercise swapping.
- api: poison-tolerant lock + clean 503 when the engine thread is gone,
  instead of cascading mutex-poison panics.

Verified on RTX 5090: serves at --max-seq-len 8192 (previously OOM), and a
forced 40-block pool drives 48 lossless swap-out/swap-in cycles under
concurrency with coherent output.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
2026-05-28 19:59:06 +08:00
parent d52baa0006
commit fc1900a745
3 changed files with 316 additions and 122 deletions

View File

@@ -85,18 +85,20 @@ async fn chat_non_stream(state: Arc<AppState>, req: ChatRequest) -> Response {
let model_name = state.model_name.clone();
let created = unix_timestamp();
if let Some(response) = validate_request(&req, &model_name) {
return response;
}
let prompt = build_prompt(&req.messages);
let prompt_tokens = state.engine_tokenizer.lock().unwrap().encode(&prompt);
let prompt_token_count = prompt_tokens.len();
let max_seq_len = state.max_seq_len;
if prompt_token_count >= max_seq_len {
return (StatusCode::BAD_REQUEST, Json(serde_json::json!({
"error": {
"message": format!("prompt is {} tokens, exceeds max_seq_len {}", prompt_token_count, max_seq_len),
"type": "invalid_request_error"
}
}))).into_response();
return bad_request(format!(
"prompt is {} tokens, exceeds max_seq_len {}",
prompt_token_count, max_seq_len
));
}
let max_tokens = req.max_tokens.min(max_seq_len - prompt_token_count);
@@ -107,12 +109,9 @@ async fn chat_non_stream(state: Arc<AppState>, req: ChatRequest) -> Response {
sampling: sampling_params(&req),
sender: tx,
};
state
.engine_sender
.lock()
.unwrap()
.send(gen_req)
.expect("engine channel closed");
if let Err(resp) = submit_to_engine(&state, gen_req) {
return resp;
}
let mut content = String::new();
let mut completion_token_count: usize = 0;
@@ -156,17 +155,19 @@ fn chat_stream(
let model_name = state.model_name.clone();
let created = unix_timestamp();
if let Some(response) = validate_request(&req, &model_name) {
return response;
}
let prompt = build_prompt(&req.messages);
let prompt_tokens = state.engine_tokenizer.lock().unwrap().encode(&prompt);
let max_seq_len = state.max_seq_len;
if prompt_tokens.len() >= max_seq_len {
return (StatusCode::BAD_REQUEST, Json(serde_json::json!({
"error": {
"message": format!("prompt is {} tokens, exceeds max_seq_len {}", prompt_tokens.len(), max_seq_len),
"type": "invalid_request_error"
}
}))).into_response();
return bad_request(format!(
"prompt is {} tokens, exceeds max_seq_len {}",
prompt_tokens.len(), max_seq_len
));
}
let max_tokens = req.max_tokens.min(max_seq_len - prompt_tokens.len());
@@ -177,12 +178,9 @@ fn chat_stream(
sampling: sampling_params(&req),
sender: engine_tx,
};
state
.engine_sender
.lock()
.unwrap()
.send(gen_req)
.expect("engine channel closed");
if let Err(resp) = submit_to_engine(&state, gen_req) {
return resp;
}
// SSE event channel: engine events -> SSE events
let (sse_tx, sse_rx) = tokio::sync::mpsc::channel::<Result<Event, Infallible>>(64);
@@ -228,6 +226,53 @@ fn chat_stream(
Sse::new(ReceiverStream::new(sse_rx)).keep_alive(KeepAlive::default()).into_response()
}
fn validate_request(req: &ChatRequest, model_name: &str) -> Option<Response> {
if let Some(model) = &req.model {
if model != model_name {
return Some(bad_request(format!(
"model '{model}' is not loaded; available model is '{model_name}'"
)));
}
}
if req.max_tokens == 0 {
return Some(bad_request("max_tokens must be greater than 0"));
}
None
}
/// Hand a request to the engine thread. Poison-tolerant (recovers the lock if a
/// prior handler panicked) and returns a clean 503 instead of panicking when the
/// engine thread is gone, so one dead engine doesn't cascade into every request.
fn submit_to_engine(state: &AppState, req: GenerateRequest) -> Result<(), Response> {
let sender = state.engine_sender.lock().unwrap_or_else(|e| e.into_inner());
sender.send(req).map_err(|_| service_unavailable("inference engine is not available"))
}
fn service_unavailable(message: impl Into<String>) -> Response {
(
StatusCode::SERVICE_UNAVAILABLE,
Json(serde_json::json!({
"error": { "message": message.into(), "type": "server_error" }
})),
)
.into_response()
}
fn bad_request(message: impl Into<String>) -> Response {
(
StatusCode::BAD_REQUEST,
Json(serde_json::json!({
"error": {
"message": message.into(),
"type": "invalid_request_error"
}
})),
)
.into_response()
}
fn make_chunk(
id: &str,
model: &str,
@@ -295,5 +340,6 @@ fn build_prompt(messages: &[Message]) -> String {
}
}
prompt.push_str("<|im_start|>assistant\n");
prompt.push_str("<think>\n\n</think>\n\n");
prompt
}