Validates the elastic_migration_v2 finding that kv_role=kv_both adds
TTFT p90 +45% even when PD-sep never fires. Replicates under
single-instance, synthetic, open-loop workload to disambiguate
mechanism cost from 8-instance feedback amplification.
Configurations (8):
plain, noop_connector, mooncake_{producer,consumer,both},
nixl_both, lmcache_only, multi_mooncake_lmcache.
Pre-flight verification gates risky configs (kv_consumer needs dummy
bootstrap, multi-connector composition, NoOp custom class loading).
Workload: two-phase sweep
Phase A: rate {0.5..32} req/s × shape (4096, 256), saturation criteria
Phase B: ref_safe rate × cartesian (input ∈ {512,4k,32k}, output ∈ {64,256,1024})
Step-timing patch enriches vLLM's existing AGENTIC_STEP_LOG_PATH emit
with step_duration_us and build_meta_us — directly measures per-step
substrate cost, not just user-visible TTFT/TPOT.
run_all.sh runs as 5-stage barrier:
0 pre-flight + apply patch
1 Phase A all configs
2 pick ref_safe / ref_load
3 Phase B all configs
4 revert patch + analyze + plot
Outputs aggregate.{json,csv}, MANIFEST.tsv, and 5 figures.
Estimated runtime: 4-5.5 hours on idle dash0 H20.
42 lines
1.2 KiB
Bash
Executable File
42 lines
1.2 KiB
Bash
Executable File
#!/bin/bash
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# vLLM + MultiConnector(MooncakeConnector kv_both, LMCacheConnectorV1).
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# Skip if either is missing.
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set -euo pipefail
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source "$(dirname "${BASH_SOURCE[0]}")/common.sh"
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if ! "$PYTHON" -c 'import lmcache' 2>/dev/null; then
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echo "SKIP: lmcache module not importable" >&2
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exit 42
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fi
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BOOTSTRAP_PORT="${BOOTSTRAP_PORT:-8998}"
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# MultiConnector wraps a list of sub-connector configs.
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# Reference: vllm/distributed/kv_transfer/kv_connector/factory.py +
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# docs/features/disagg_prefill.md
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KV_CFG=$(cat <<EOF
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{
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"kv_connector": "MultiConnector",
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"kv_role": "kv_both",
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"kv_connector_extra_config": {
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"connectors": [
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{"kv_connector": "MooncakeConnector", "kv_role": "kv_both"},
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{"kv_connector": "LMCacheConnectorV1", "kv_role": "kv_both"}
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]
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}
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}
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EOF
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)
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KV_CFG=$(echo "$KV_CFG" | tr -d '\n')
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VLLM_MOONCAKE_BOOTSTRAP_PORT="$BOOTSTRAP_PORT" \
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CUDA_VISIBLE_DEVICES="$GPU_ID" \
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"$PYTHON" -m vllm.entrypoints.openai.api_server \
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"${COMMON_VLLM_ARGS[@]}" \
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--kv-transfer-config "$KV_CFG" \
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> "$LOG_DIR/vllm_stdout.log" 2> "$LOG_DIR/vllm_stderr.log" &
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VLLM_PID=$!
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echo "$VLLM_PID" > "$LOG_DIR/.vllm.pid"
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echo "vLLM PID=$VLLM_PID"
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wait_for_ready 300
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