Files
agentic-kvc/scripts/cache_aware_proxy.py
Gahow Wang c7afdc5074 Ablation 2: fire-and-forget vs await-prefill scheduling
Added --fire-and-forget flag to cache_aware_proxy.py for async prefill dispatch.

Results on 6P+2D config:
  Await:  TTFT=1.48s  TPOT=0.066s  E2E=5.95s  94% success
  FnF:    TTFT=5.32s  TPOT=0.037s  E2E=11.9s  85% success

Fire-and-forget improves TPOT by 44% (pipeline overlap) but degrades
TTFT by 260% (decode internally waits for KV, less efficiently than
proxy-level await) and increases errors from KV race conditions.

Full 4-way ablation summary in analyze_ablations.py.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-05-21 23:02:42 +08:00

302 lines
11 KiB
Python

"""Unified cache-aware + token-level load-balanced global scheduler.
Supports two modes:
--combined URL [URL ...]: PD co-located instances (normal vLLM, no KV transfer)
--prefill URL BP --decode URL: PD disaggregated instances (Mooncake KV transfer)
Routing policy (same for both modes):
score = ongoing_tokens / avg_ongoing - ALPHA * cache_hit_ratio
Normalized load prevents "rich get richer"; cache bonus gives affinity.
Session affinity: multi-turn sessions stick to same instance.
"""
import argparse
import asyncio
import os
import urllib.parse
import uuid
from contextlib import asynccontextmanager
import httpx
import uvicorn
from fastapi import FastAPI, HTTPException, Request
from fastapi.responses import StreamingResponse
BLOCK_SIZE = 512
CACHE_HIT_ALPHA = 1.0 # weight for cache bonus in scoring
class InstanceState:
def __init__(self, url: str, bootstrap_port: int | None = None):
self.url = url
self.bootstrap_port = bootstrap_port
self.client = httpx.AsyncClient(
timeout=None, base_url=url,
limits=httpx.Limits(max_connections=None, max_keepalive_connections=None),
)
self.ongoing_tokens = 0
self.engine_id: dict[int, str] = {}
self.dp_size = 1
self.cached_blocks: set[int] = set()
def estimate_cache_hit(self, token_ids: list[int] | None) -> int:
if not token_ids or len(token_ids) < BLOCK_SIZE:
return 0
hit = 0
for i in range(0, len(token_ids) - BLOCK_SIZE + 1, BLOCK_SIZE):
bh = hash(tuple(token_ids[i:i + BLOCK_SIZE]))
if bh in self.cached_blocks:
hit += BLOCK_SIZE
else:
break
return hit
def record_prefix(self, token_ids: list[int] | None):
if not token_ids:
return
for i in range(0, len(token_ids) - BLOCK_SIZE + 1, BLOCK_SIZE):
self.cached_blocks.add(hash(tuple(token_ids[i:i + BLOCK_SIZE])))
if len(self.cached_blocks) > 200000:
self.cached_blocks = set(list(self.cached_blocks)[-100000:])
def pick_instance(instances: list[InstanceState], token_ids: list[int] | None,
session_id: str | None, input_length: int,
affinity: dict[str, int]) -> tuple[InstanceState, int]:
"""Normalized load - cache bonus scoring."""
if session_id and session_id in affinity:
idx = affinity[session_id]
if idx < len(instances):
return instances[idx], idx
avg_load = max(sum(i.ongoing_tokens for i in instances) / len(instances), 1.0)
best_idx, best_score = 0, float("inf")
for i, inst in enumerate(instances):
cache_hit = inst.estimate_cache_hit(token_ids)
cache_ratio = cache_hit / input_length if input_length > 0 else 0.0
score = inst.ongoing_tokens / avg_load - CACHE_HIT_ALPHA * cache_ratio
if score < best_score:
best_score = score
best_idx = i
if session_id:
affinity[session_id] = best_idx
return instances[best_idx], best_idx
global_args = None
combined_instances: list[InstanceState] = []
prefill_instances: list[InstanceState] = []
decode_instances: list[InstanceState] = []
session_affinity: dict[str, int] = {}
is_pd_sep = False
async def init_prefill_bootstrap(instances: list[InstanceState], ready: asyncio.Event):
for inst in instances:
if inst.bootstrap_port is None:
continue
while True:
try:
await inst.client.get("/health")
except Exception:
await asyncio.sleep(1)
continue
parsed = urllib.parse.urlparse(str(inst.client.base_url))
url = f"http://{parsed.hostname}:{inst.bootstrap_port}/query"
resp = await inst.client.get(url)
resp.raise_for_status()
data = resp.json()
for dp_rank, dp_entry in data.items():
inst.engine_id[int(dp_rank)] = dp_entry["engine_id"]
inst.dp_size = len(data)
print(f"Inited {inst.url} engine_ids={inst.engine_id}")
break
ready.set()
@asynccontextmanager
async def lifespan(app: FastAPI):
global is_pd_sep
app.state.ready = asyncio.Event()
if global_args.combined:
is_pd_sep = False
for url in global_args.combined:
combined_instances.append(InstanceState(url))
app.state.ready.set()
print(f"Combined mode: {len(combined_instances)} instances")
else:
is_pd_sep = True
for url, bp in global_args.prefill:
prefill_instances.append(InstanceState(url, bp))
for url in global_args.decode:
decode_instances.append(InstanceState(url))
await init_prefill_bootstrap(prefill_instances, app.state.ready)
print(f"PD-Sep mode: {len(prefill_instances)}P + {len(decode_instances)}D")
yield
for inst in combined_instances + prefill_instances + decode_instances:
await inst.client.aclose()
app = FastAPI(lifespan=lifespan)
@app.post("/v1/completions")
async def handle_completions(request: Request):
return await _handle(request, "/v1/completions")
@app.post("/v1/chat/completions")
async def handle_chat(request: Request):
return await _handle(request, "/v1/chat/completions")
async def _handle(request: Request, api: str):
if not app.state.ready.is_set():
raise HTTPException(status_code=503, detail="Service Unavailable")
req_data = await request.json()
request_id = str(uuid.uuid4())
prompt = req_data.get("prompt")
token_ids = prompt if isinstance(prompt, list) else None
input_length = len(token_ids) if token_ids else 0
session_id = request.headers.get("X-Session-Id")
headers = {"X-Request-Id": request_id}
api_key = os.environ.get("OPENAI_API_KEY")
if api_key:
headers["Authorization"] = f"Bearer {api_key}"
if is_pd_sep:
return await _handle_pd_sep(api, req_data, request_id, token_ids,
input_length, session_id, headers)
else:
return await _handle_combined(api, req_data, token_ids,
input_length, session_id, headers)
async def _handle_combined(api, req_data, token_ids, input_length, session_id, headers):
"""Combined mode: route to best instance, send normal request."""
inst, idx = pick_instance(combined_instances, token_ids, session_id,
input_length, session_affinity)
inst.ongoing_tokens += input_length
async def generate():
try:
async with inst.client.stream("POST", api, json=req_data, headers=headers) as resp:
resp.raise_for_status()
async for chunk in resp.aiter_bytes():
yield chunk
inst.record_prefix(token_ids)
finally:
inst.ongoing_tokens -= input_length
return StreamingResponse(generate(), media_type="text/event-stream")
async def _send_prefill_async(p_inst, api, prefill_data, p_headers, token_ids, input_length):
"""Fire-and-forget prefill: send and don't block caller."""
try:
resp = await p_inst.client.post(api, json=prefill_data, headers=p_headers)
resp.raise_for_status()
await resp.aclose()
p_inst.record_prefix(token_ids)
except Exception:
pass
finally:
p_inst.ongoing_tokens -= input_length
async def _handle_pd_sep(api, req_data, request_id, token_ids, input_length,
session_id, headers):
"""PD-Sep mode. --fire-and-forget controls prefill waiting behavior."""
p_inst, _ = pick_instance(prefill_instances, token_ids, session_id,
input_length, session_affinity)
d_inst = min(decode_instances, key=lambda x: x.ongoing_tokens)
prefill_data = req_data.copy()
prefill_data["kv_transfer_params"] = {
"do_remote_decode": True, "do_remote_prefill": False,
"transfer_id": f"xfer-{request_id}",
}
prefill_data["stream"] = False
prefill_data["max_tokens"] = 1
prefill_data.pop("max_completion_tokens", None)
prefill_data.pop("stream_options", None)
p_headers = {**headers, "X-data-parallel-rank": "0"}
p_inst.ongoing_tokens += input_length
if global_args.fire_and_forget:
# Fire-and-forget: send prefill async, immediately proceed to decode
asyncio.create_task(_send_prefill_async(
p_inst, api, prefill_data, p_headers, token_ids, input_length))
else:
# Await: block until prefill completes, then send decode
try:
resp = await p_inst.client.post(api, json=prefill_data, headers=p_headers)
resp.raise_for_status()
await resp.aclose()
p_inst.record_prefix(token_ids)
except Exception as e:
raise HTTPException(status_code=502, detail=f"Prefill failed: {e}")
finally:
p_inst.ongoing_tokens -= input_length
# Stream decode
d_inst.ongoing_tokens += input_length
parsed = urllib.parse.urlparse(str(p_inst.client.base_url))
bootstrap_addr = f"http://{parsed.hostname}:{p_inst.bootstrap_port}"
decode_data = req_data.copy()
decode_data["kv_transfer_params"] = {
"do_remote_decode": False, "do_remote_prefill": True,
"remote_bootstrap_addr": bootstrap_addr,
"remote_engine_id": p_inst.engine_id.get(0, ""),
"transfer_id": f"xfer-{request_id}",
}
async def generate():
try:
async with d_inst.client.stream("POST", api, json=decode_data, headers=headers) as resp:
resp.raise_for_status()
async for chunk in resp.aiter_bytes():
yield chunk
finally:
d_inst.ongoing_tokens -= input_length
return StreamingResponse(generate(), media_type="application/json")
def parse_args():
p = argparse.ArgumentParser(description="Unified cache-aware global scheduler")
p.add_argument("--port", type=int, default=8000)
p.add_argument("--host", type=str, default="0.0.0.0")
p.add_argument("--combined", nargs="+", help="Combined mode: list of instance URLs")
p.add_argument("--prefill", nargs="+", action="append", dest="prefill_raw",
help="PD-Sep prefill: URL [bootstrap_port]")
p.add_argument("--decode", nargs=1, action="append", dest="decode_raw",
help="PD-Sep decode: URL")
p.add_argument("--fire-and-forget", action="store_true",
help="Send prefill async, don't await before decode")
args = p.parse_args()
args.prefill = []
if args.prefill_raw:
for entry in args.prefill_raw:
url = entry[0]
bp = int(entry[1]) if len(entry) > 1 and entry[1].lower() != "none" else None
args.prefill.append((url, bp))
args.decode = [e[0] for e in (args.decode_raw or [])]
if not args.combined and not args.prefill:
p.error("Must specify either --combined or --prefill/--decode")
return args
if __name__ == "__main__":
global_args = parse_args()
uvicorn.run(app, host=global_args.host, port=global_args.port)