Revert Approach B (session migration): overhead exceeds LB benefit
Reverts 3 commits:e991960,5772149,5b1d360. 57 migrations triggered but PD-sep overhead (C queue + KV transfer + D cold start) caused HEAVY TTFT p90 to regress from 15.9s to 59.1s. Migration mechanism needs fundamental rework before it can help. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -19,7 +19,7 @@ import os
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import time as _time
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import urllib.parse
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import uuid
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from collections import OrderedDict, deque
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from collections import OrderedDict
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from contextlib import asynccontextmanager
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from dataclasses import dataclass
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@@ -52,9 +52,6 @@ class Settings:
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cache_gate_ratio: float = 0.0
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decode_iteration_s: float = 0.05 # per-request decode iteration cost (H20)
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migration_discount_cap: int = 5 # max turns to discount
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migration_request_factor: float = 1.5 # trigger migration when num_requests > avg * factor
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migration_ttft_threshold: float = 5.0 # trigger migration when recent TTFT median > this (seconds)
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migration_ttft_window: int = 8 # number of recent TTFTs to track per instance
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SETTINGS = Settings()
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@@ -77,7 +74,6 @@ class InstanceState:
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self.dp_size = 1
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# OrderedDict acts as an LRU keyed by block hash; value is unused.
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self.cached_blocks: OrderedDict[int, None] = OrderedDict()
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self.recent_ttfts: deque[float] = deque(maxlen=SETTINGS.migration_ttft_window)
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def estimate_cache_hit(self, token_ids: list[int] | None) -> int:
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if not token_ids or len(token_ids) < BLOCK_SIZE:
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@@ -451,11 +447,7 @@ async def _handle_local_request(api, req_data, headers, token_ids, input_length,
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if not prefill_done:
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chosen.pending_prefill_tokens -= estimated_new
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chosen.ongoing_decode_tokens += input_length
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t_first = _time.monotonic()
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breakdown["t_first_token"] = t_first
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t_recv = breakdown.get("t_proxy_recv")
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if t_recv:
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chosen.recent_ttfts.append(t_first - t_recv)
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breakdown["t_first_token"] = _time.monotonic()
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prefill_done = True
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yield chunk
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chosen.record_prefix(
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@@ -523,57 +515,6 @@ async def _handle_combined(api, req_data, token_ids, input_length, session_id, h
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cache_hits = [inst.estimate_cache_hit(token_ids) for inst in combined_instances]
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best_cache_idx = max(range(len(combined_instances)), key=lambda i: cache_hits[i])
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best_cache_hit = cache_hits[best_cache_idx]
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# Session-level migration: force-migrate when instance has high recent TTFT
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if (offload_enabled and session_id
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and session_id in session_affinity_combined):
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mig_src_idx = session_affinity_combined[session_id]
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if mig_src_idx < len(combined_instances):
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mig_src = combined_instances[mig_src_idx]
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src_cache_ratio = cache_hits[mig_src_idx] / max(input_length, 1)
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src_ttfts = mig_src.recent_ttfts
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src_ttft_med = sorted(src_ttfts)[len(src_ttfts) // 2] if len(src_ttfts) >= 3 else 0
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if (src_ttft_med > SETTINGS.migration_ttft_threshold
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and src_cache_ratio > 0.5
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and input_length >= SETTINGS.heavy_threshold):
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# Find instance with lowest recent TTFT
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def _inst_ttft_score(i: int) -> float:
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t = combined_instances[i].recent_ttfts
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if len(t) < 2:
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return 0.0
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return sorted(t)[len(t) // 2]
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mig_tgt_idx = min(range(len(combined_instances)), key=_inst_ttft_score)
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mig_tgt = combined_instances[mig_tgt_idx]
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tgt_ttft_med = _inst_ttft_score(mig_tgt_idx)
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if tgt_ttft_med < src_ttft_med * 0.5:
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estimated_new = max(0, input_length - cache_hits[mig_src_idx])
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breakdown = {
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"request_id": headers.get("X-Request-Id", ""),
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"input_length": input_length,
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"cache_hit": cache_hits[mig_tgt_idx],
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"estimated_new_tokens": estimated_new,
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"t_proxy_recv": _time.monotonic(),
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"policy": "session_migrate",
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"push_cache_hit": cache_hits[mig_src_idx],
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"c_inst": mig_src.url,
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"routed_to": mig_tgt.url,
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}
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session_affinity_combined[session_id] = mig_tgt_idx
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offload_mode = getattr(global_args, 'offload_mode', 'cached_prefill')
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push_cache_hit = cache_hits[mig_src_idx]
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if offload_mode == "cached_prefill":
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return await _handle_cached_prefill_offload(
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api, req_data, headers, token_ids, input_length,
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mig_src, mig_tgt, push_cache_hit, estimated_new,
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breakdown)
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else:
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return await _handle_direct_read_offload(
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api, req_data, headers, token_ids, input_length,
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mig_src, mig_tgt, push_cache_hit, estimated_new,
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breakdown)
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def _current_offloads() -> int:
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return sum(i.active_p_offloads for i in combined_instances)
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@@ -1016,10 +957,6 @@ def parse_args():
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"(0.0 disables gate, 1.0 disables offload entirely)")
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p.add_argument("--decode-iteration-s", type=float, default=0.05,
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help="Estimated per-request decode iteration time in seconds")
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p.add_argument("--migration-request-factor", type=float, default=1.5,
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help="Trigger session migration when num_requests > avg * factor")
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p.add_argument("--migration-ttft-threshold", type=float, default=5.0,
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help="Trigger migration when instance median TTFT > this (seconds)")
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args = p.parse_args()
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args.prefill = []
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@@ -1042,8 +979,6 @@ if __name__ == "__main__":
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SETTINGS.max_offload_inflight = global_args.max_offload_inflight
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SETTINGS.cache_gate_ratio = global_args.cache_gate_ratio
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SETTINGS.decode_iteration_s = getattr(global_args, 'decode_iteration_s', 0.05)
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SETTINGS.migration_request_factor = getattr(global_args, 'migration_request_factor', 1.5)
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SETTINGS.migration_ttft_threshold = getattr(global_args, 'migration_ttft_threshold', 5.0)
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print("SETTINGS: throughput=%.0f rdma_overhead=%.2f offload=%s" % (
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SETTINGS.prefill_throughput, SETTINGS.rdma_overhead_s,
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getattr(global_args, 'offload', False)))
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