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Unverified Commit 75c16393 authored by Yan Ru Pei's avatar Yan Ru Pei Committed by GitHub
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test: split replay tests into a package (#7731) 


Signed-off-by: default avatarPeaBrane <yanrpei@gmail.com>
parent 273252e6
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lib/bindings/python/tests/replay/replay_utils.py 0 → 100644
View file @ 75c16393
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
import json
import os
import subprocess
import sys
from pathlib import Path
import numpy as np
import pytest
from dynamo.llm import KvRouterConfig, MockEngineArgs
MOONCAKE_TRACE_FIRST20 = """{"timestamp": 0, "input_length": 6755, "output_length": 500, "hash_ids": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]}
{"timestamp": 0, "input_length": 7319, "output_length": 490, "hash_ids": [0, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]}
{"timestamp": 0, "input_length": 7234, "output_length": 794, "hash_ids": [0, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41]}
{"timestamp": 0, "input_length": 2287, "output_length": 316, "hash_ids": [0, 42, 43, 44, 45]}
{"timestamp": 0, "input_length": 9013, "output_length": 3, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63]}
{"timestamp": 0, "input_length": 6506, "output_length": 3, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 64]}
{"timestamp": 0, "input_length": 4824, "output_length": 173, "hash_ids": [0, 65, 66, 67, 68, 69, 70, 71, 72, 73]}
{"timestamp": 0, "input_length": 3119, "output_length": 20, "hash_ids": [74, 75, 76, 77, 78, 79, 80]}
{"timestamp": 0, "input_length": 23090, "output_length": 453, "hash_ids": [0, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125]}
{"timestamp": 0, "input_length": 3135, "output_length": 19, "hash_ids": [74, 75, 76, 77, 78, 126, 127]}
{"timestamp": 0, "input_length": 26874, "output_length": 458, "hash_ids": [0, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179]}
{"timestamp": 0, "input_length": 10487, "output_length": 402, "hash_ids": [0, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199]}
{"timestamp": 0, "input_length": 17448, "output_length": 610, "hash_ids": [0, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233]}
{"timestamp": 0, "input_length": 6253, "output_length": 3, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 234]}
{"timestamp": 0, "input_length": 6725, "output_length": 32, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 235, 236]}
{"timestamp": 3052, "input_length": 13538, "output_length": 71, "hash_ids": [0, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262]}
{"timestamp": 3052, "input_length": 87162, "output_length": 402, "hash_ids": [0, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432]}
{"timestamp": 3052, "input_length": 6166, "output_length": 24, "hash_ids": [46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 433]}
{"timestamp": 3052, "input_length": 6320, "output_length": 548, "hash_ids": [0, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445]}
{"timestamp": 3052, "input_length": 2007, "output_length": 354, "hash_ids": [0, 446, 447, 448]}
"""
AIC_PARITY_MODEL = "Qwen/Qwen3-32B"
AIC_PARITY_SYSTEM = "h200_sxm"
AIC_PARITY_VERSIONS = {
"vllm": "0.12.0",
"sglang": "0.5.6.post2",
}
AIC_PARITY_BACKENDS = [
pytest.param("vllm", marks=pytest.mark.vllm, id="vllm"),
pytest.param("sglang", marks=pytest.mark.sglang, id="sglang"),
]
def _vllm_args_payload():
return {
"block_size": 64,
"speedup_ratio": 1000.0,
}
def _sglang_args_payload():
return {
"engine_type": "sglang",
"num_gpu_blocks": 512,
"block_size": 64,
"speedup_ratio": 1000.0,
"sglang": {
"page_size": 64,
},
}
def _router_config_payload():
return {
"router_queue_threshold": 1.25,
"router_event_threads": 1,
"router_queue_policy": "wspt",
"router_temperature": 0.0,
"overlap_score_weight": 1.0,
"use_kv_events": True,
"durable_kv_events": False,
"router_replica_sync": False,
"router_track_active_blocks": True,
"router_track_output_blocks": False,
"router_assume_kv_reuse": True,
"router_track_prefill_tokens": True,
"router_snapshot_threshold": 1000000,
"router_reset_states": False,
"router_ttl_secs": 120.0,
"router_max_tree_size": 1048576,
"router_prune_target_ratio": 0.8,
"router_enable_cache_control": False,
"skip_initial_worker_wait": False,
"remote_indexer_component": None,
}
def _write_trace_and_args(tmp_path):
trace_path = tmp_path / "trace.jsonl"
records = [
{
"timestamp": 1000.0,
"input_length": 64,
"output_length": 2,
"hash_ids": [101],
},
{
"timestamp": 1005.0,
"input_length": 64,
"output_length": 2,
"hash_ids": [101],
},
]
trace_path.write_text(
"\n".join(json.dumps(record) for record in records) + "\n",
encoding="utf-8",
)
return trace_path
def _write_multiturn_trace(tmp_path):
trace_path = tmp_path / "multiturn_trace.jsonl"
records = [
{
"session_id": "session-a",
"timestamp": 1000.0,
"input_length": 64,
"output_length": 2,
"hash_ids": [101],
},
{
"session_id": "session-b",
"timestamp": 1002.0,
"input_length": 64,
"output_length": 2,
"hash_ids": [202],
},
{
"session_id": "session-a",
"delay": 5.0,
"input_length": 64,
"output_length": 2,
"hash_ids": [303],
},
{
"session_id": "session-b",
"delay": 1.0,
"input_length": 64,
"output_length": 2,
"hash_ids": [404],
},
]
trace_path.write_text(
"\n".join(json.dumps(record) for record in records) + "\n",
encoding="utf-8",
)
return trace_path
def _write_cli_smoke_trace(tmp_path):
trace_path = tmp_path / "cli_smoke_trace.jsonl"
records = []
for index in range(10):
records.append(
{
"timestamp": 1000.0 + index,
"input_length": 250,
"output_length": 25,
"hash_ids": [index, index + 1, index + 2, index + 3],
}
)
trace_path.write_text(
"\n".join(json.dumps(record) for record in records) + "\n",
encoding="utf-8",
)
return trace_path
def _write_vllm_args(tmp_path):
args_path = tmp_path / "args.json"
args_path.write_text(
json.dumps(_vllm_args_payload()),
encoding="utf-8",
)
return args_path
def _vllm_args():
return MockEngineArgs.from_json(json.dumps(_vllm_args_payload()))
def _write_sglang_args(tmp_path):
args_path = tmp_path / "sglang_args.json"
args_path.write_text(
json.dumps(_sglang_args_payload()),
encoding="utf-8",
)
return args_path
def _sglang_args():
return MockEngineArgs.from_json(json.dumps(_sglang_args_payload()))
def _prefill_args():
return MockEngineArgs(block_size=64, speedup_ratio=1000.0, worker_type="prefill")
def _decode_args():
return MockEngineArgs(block_size=64, speedup_ratio=1000.0, worker_type="decode")
def _write_router_config(tmp_path):
config_path = tmp_path / "router_config.json"
config_path.write_text(
json.dumps(_router_config_payload()),
encoding="utf-8",
)
return config_path
def _router_config():
return KvRouterConfig.from_json(json.dumps(_router_config_payload()))
def _partial_router_config():
return KvRouterConfig(
router_queue_threshold=1.25,
router_event_threads=1,
router_queue_policy="wspt",
)
def _assert_basic_report_counts(report, *, num_requests, input_tokens, output_tokens):
assert report["num_requests"] == num_requests
assert report["completed_requests"] == num_requests
assert report["total_input_tokens"] == num_requests * input_tokens
assert report["total_output_tokens"] == num_requests * output_tokens
def _assert_basic_report_metrics(report):
assert report["request_throughput_rps"] > 0
assert report["output_throughput_tok_s"] > 0
assert report["duration_ms"] > 0
def _replay_cli_env() -> dict[str, str]:
repo_root = Path(__file__).resolve().parents[5]
env = os.environ.copy()
pythonpath_entries = [
str(repo_root / "lib/bindings/python/src"),
str(repo_root / "components/src"),
]
existing_pythonpath = env.get("PYTHONPATH")
if existing_pythonpath:
pythonpath_entries.append(existing_pythonpath)
env["PYTHONPATH"] = ":".join(pythonpath_entries)
return env
def _planner_profile_data_npz_path() -> Path:
return (
Path(__file__).resolve().parents[5]
/ "benchmarks/results/H200_TP1P_TP1D_perf_data.npz"
)
def _aic_replay_args(backend_name: str):
payload = {
"block_size": 512,
"enable_prefix_caching": True,
"enable_chunked_prefill": False,
"max_num_seqs": 16,
"max_num_batched_tokens": 65536,
"num_gpu_blocks": 100000,
"speedup_ratio": 1.0,
"aic_backend": backend_name,
"aic_system": AIC_PARITY_SYSTEM,
"aic_backend_version": AIC_PARITY_VERSIONS[backend_name],
"aic_tp_size": 1,
"aic_model_path": AIC_PARITY_MODEL,
}
if backend_name == "sglang":
payload["engine_type"] = "sglang"
payload["sglang"] = {
"page_size": 512,
"max_prefill_tokens": 65536,
"chunked_prefill_size": 65536,
}
return MockEngineArgs.from_json(json.dumps(payload))
def _aic_disagg_replay_args(
backend_name: str,
*,
tp_size: int,
is_prefill: bool,
max_num_seqs: int,
max_num_batched_tokens: int,
):
payload = {
"block_size": 512,
"enable_prefix_caching": False,
"enable_chunked_prefill": False,
"max_num_seqs": max_num_seqs,
"max_num_batched_tokens": max_num_batched_tokens,
"num_gpu_blocks": 50000,
"speedup_ratio": 1.0,
"aic_backend": backend_name,
"aic_system": AIC_PARITY_SYSTEM,
"aic_backend_version": AIC_PARITY_VERSIONS[backend_name],
"aic_tp_size": tp_size,
"aic_model_path": AIC_PARITY_MODEL,
"is_prefill": is_prefill,
"is_decode": not is_prefill,
}
if backend_name == "sglang":
payload["engine_type"] = "sglang"
payload["sglang"] = {
"page_size": 512,
"max_prefill_tokens": 65536,
"chunked_prefill_size": 65536,
}
return MockEngineArgs.from_json(json.dumps(payload))
def _run_aic_static_point(backend_name: str, isl: int, osl: int, batch_size: int):
aiconfigurator = pytest.importorskip("aiconfigurator")
database = aiconfigurator.sdk.perf_database.get_database(
system=AIC_PARITY_SYSTEM,
backend=backend_name,
version=AIC_PARITY_VERSIONS[backend_name],
)
backend = aiconfigurator.sdk.backends.factory.get_backend(backend_name)
model = aiconfigurator.sdk.models.get_model(
model_path=AIC_PARITY_MODEL,
model_config=aiconfigurator.sdk.config.ModelConfig(tp_size=1),
backend_name=backend_name,
)
session = aiconfigurator.sdk.inference_session.InferenceSession(
model, database, backend
)
summary = session.run_static(
runtime_config=aiconfigurator.sdk.config.RuntimeConfig(
batch_size=batch_size,
beam_width=1,
isl=isl,
osl=osl,
prefix=0,
),
mode="static",
stride=32,
)
return summary.get_summary_df().to_dict(orient="records")[0]
def _planner_profile_data_dir_path() -> Path:
return (
Path(__file__).resolve().parents[5]
/ "tests/planner/profiling_results/H200_TP1P_TP1D"
)
def _write_planner_profile_data_npz(tmp_path: Path) -> Path:
planner_profile_data = tmp_path / "planner_profile_data.npz"
np.savez(
planner_profile_data,
prefill_isl=np.array([128.0, 256.0]),
prefill_ttft_ms=np.array([4.0, 8.0]),
decode_active_kv_tokens=np.array([1024.0, 2048.0]),
decode_context_length=np.array([128.0, 256.0]),
decode_itl=np.array([[1.0, 1.5], [2.0, 2.5]]),
)
return planner_profile_data
def _run_replay_cli(tmp_path, *args):
return subprocess.run(
[
sys.executable,
"-m",
"dynamo.replay",
*args,
],
capture_output=True,
check=True,
cwd=str(tmp_path),
env=_replay_cli_env(),
text=True,
)
def _assert_replay_cli_outputs(completed, report_path):
assert "NVIDIA AIPerf | LLM Metrics" in completed.stdout
assert "Saved full report to:" in completed.stdout
assert '"completed_requests"' not in completed.stdout
return json.loads(report_path.read_text(encoding="utf-8"))
lib/bindings/python/tests/replay/test_replay_aic_parity.py 0 → 100644
View file @ 75c16393
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
import pytest
from dynamo.replay import run_synthetic_trace_replay
from .replay_utils import (
AIC_PARITY_BACKENDS,
_aic_disagg_replay_args,
_aic_replay_args,
_run_aic_static_point,
)
pytestmark = [
pytest.mark.gpu_0,
pytest.mark.parallel,
pytest.mark.pre_merge,
pytest.mark.unit,
]
@pytest.mark.parametrize("backend_name", AIC_PARITY_BACKENDS)
@pytest.mark.parametrize("isl", [256, 512, 1024, 2048, 4096])
def test_run_synthetic_concurrency_replay_matches_aic_static_point_no_prefix(
backend_name, isl
):
report = run_synthetic_trace_replay(
isl,
128,
8,
extra_engine_args=_aic_replay_args(backend_name),
num_workers=1,
replay_mode="offline",
replay_concurrency=8,
arrival_interval_ms=0.0,
)
aic = _run_aic_static_point(
backend_name=backend_name,
isl=isl,
osl=128,
batch_size=8,
)
expected_ttft_ms = aic["context_latency"] + aic["tpot"]
assert report["mean_ttft_ms"] == pytest.approx(expected_ttft_ms, rel=0.05)
assert report["mean_tpot_ms"] == pytest.approx(aic["tpot"], rel=0.05)
assert report["output_throughput_tok_s"] == pytest.approx(
aic["tokens/s/gpu"], rel=0.05
)
@pytest.mark.timeout(30)
@pytest.mark.parametrize(
(
"backend_name",
"isl",
"osl",
"request_count",
"replay_concurrency",
"total_gpu_budget",
"prefill_tp",
"decode_tp",
"prefill_bs",
"decode_bs",
"prefill_workers",
"decode_workers",
),
[
pytest.param(
"vllm",
1024,
512,
1440,
720,
20,
1,
2,
1,
120,
6,
5,
marks=pytest.mark.vllm,
id="vllm",
),
pytest.param(
"sglang",
1024,
512,
2944,
1472,
24,
2,
2,
1,
184,
6,
6,
marks=pytest.mark.sglang,
id="sglang",
),
],
)
def test_run_synthetic_disagg_replay_preserves_aic_local_optimum(
backend_name,
isl,
osl,
request_count,
replay_concurrency,
total_gpu_budget,
prefill_tp,
decode_tp,
prefill_bs,
decode_bs,
prefill_workers,
decode_workers,
):
prefill_args = _aic_disagg_replay_args(
backend_name,
tp_size=prefill_tp,
is_prefill=True,
max_num_seqs=prefill_bs,
max_num_batched_tokens=isl,
)
decode_args = _aic_disagg_replay_args(
backend_name,
tp_size=decode_tp,
is_prefill=False,
max_num_seqs=decode_bs,
max_num_batched_tokens=200000,
)
variants = [
("picked", prefill_workers, decode_workers),
("p_minus_2_d_plus_2", prefill_workers - 2, decode_workers + 2),
("p_plus_2_d_minus_2", prefill_workers + 2, decode_workers - 2),
]
reports = {}
for variant_name, p_workers, d_workers in variants:
report = run_synthetic_trace_replay(
isl,
osl,
request_count,
prefill_engine_args=prefill_args,
decode_engine_args=decode_args,
num_prefill_workers=p_workers,
num_decode_workers=d_workers,
replay_concurrency=replay_concurrency,
replay_mode="offline",
router_mode="round_robin",
arrival_interval_ms=0.0,
)
reports[variant_name] = report["output_throughput_tok_s"] / total_gpu_budget
assert reports["picked"] > reports["p_minus_2_d_plus_2"]
assert reports["picked"] > reports["p_plus_2_d_minus_2"]
lib/bindings/python/tests/replay/test_replay_cli.py 0 → 100644
View file @ 75c16393
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
import json
import pytest
from .replay_utils import (
_assert_basic_report_counts,
_assert_basic_report_metrics,
_assert_replay_cli_outputs,
_planner_profile_data_dir_path,
_run_replay_cli,
_write_cli_smoke_trace,
_write_multiturn_trace,
_write_planner_profile_data_npz,
)
pytestmark = [
pytest.mark.gpu_0,
pytest.mark.parallel,
pytest.mark.pre_merge,
pytest.mark.unit,
]
@pytest.mark.timeout(30)
def test_replay_cli_subprocess_synthetic_smoke(tmp_path):
report_path = tmp_path / "synthetic_report.json"
completed = _run_replay_cli(
tmp_path,
"--input-tokens",
"250",
"--output-tokens",
"25",
"--request-count",
"10",
"--num-workers",
"4",
"--replay-concurrency",
"4",
"--report-json",
str(report_path),
"--extra-engine-args",
'{"block_size":64,"speedup_ratio":1000.0}',
)
report = _assert_replay_cli_outputs(completed, report_path)
_assert_basic_report_counts(
report,
num_requests=10,
input_tokens=250,
output_tokens=25,
)
_assert_basic_report_metrics(report)
@pytest.mark.timeout(30)
@pytest.mark.parametrize("planner_profile_data_kind", ["dir", "npz"])
def test_replay_cli_subprocess_synthetic_smoke_accepts_planner_profile_data(
tmp_path, planner_profile_data_kind
):
report_path = tmp_path / f"synthetic_report_{planner_profile_data_kind}.json"
planner_profile_data = (
_planner_profile_data_dir_path()
if planner_profile_data_kind == "dir"
else _write_planner_profile_data_npz(tmp_path)
)
completed = _run_replay_cli(
tmp_path,
"--input-tokens",
"250",
"--output-tokens",
"25",
"--request-count",
"10",
"--num-workers",
"4",
"--replay-concurrency",
"4",
"--report-json",
str(report_path),
"--extra-engine-args",
json.dumps(
{
"block_size": 64,
"speedup_ratio": 1000.0,
"planner_profile_data": str(planner_profile_data),
}
),
)
report = _assert_replay_cli_outputs(completed, report_path)
_assert_basic_report_counts(
report,
num_requests=10,
input_tokens=250,
output_tokens=25,
)
_assert_basic_report_metrics(report)
@pytest.mark.timeout(30)
def test_replay_cli_subprocess_synthetic_multiturn_smoke(tmp_path):
report_path = tmp_path / "synthetic_multiturn_report.json"
completed = _run_replay_cli(
tmp_path,
"--input-tokens",
"64",
"--output-tokens",
"4",
"--request-count",
"3",
"--turns-per-session",
"2",
"--shared-prefix-ratio",
"0.5",
"--num-prefix-groups",
"2",
"--inter-turn-delay-ms",
"5.0",
"--num-workers",
"2",
"--report-json",
str(report_path),
"--extra-engine-args",
'{"block_size":64,"speedup_ratio":1000.0}',
)
report = _assert_replay_cli_outputs(completed, report_path)
_assert_basic_report_counts(
report,
num_requests=6,
input_tokens=64,
output_tokens=4,
)
_assert_basic_report_metrics(report)
@pytest.mark.timeout(30)
def test_replay_cli_subprocess_trace_smoke(tmp_path):
trace_path = _write_cli_smoke_trace(tmp_path)
report_path = tmp_path / "trace_report.json"
completed = _run_replay_cli(
tmp_path,
str(trace_path),
"--replay-mode",
"offline",
"--router-mode",
"kv_router",
"--num-workers",
"4",
"--report-json",
str(report_path),
"--extra-engine-args",
'{"block_size":64,"speedup_ratio":1000.0}',
)
report = _assert_replay_cli_outputs(completed, report_path)
_assert_basic_report_counts(
report,
num_requests=10,
input_tokens=250,
output_tokens=25,
)
_assert_basic_report_metrics(report)
@pytest.mark.timeout(30)
def test_replay_cli_subprocess_trace_disagg_smoke(tmp_path):
trace_path = _write_cli_smoke_trace(tmp_path)
report_path = tmp_path / "trace_disagg_report.json"
completed = _run_replay_cli(
tmp_path,
str(trace_path),
"--replay-mode",
"offline",
"--router-mode",
"kv_router",
"--num-prefill-workers",
"2",
"--num-decode-workers",
"2",
"--report-json",
str(report_path),
"--prefill-engine-args",
'{"block_size":64,"speedup_ratio":1000.0,"worker_type":"prefill"}',
"--decode-engine-args",
'{"block_size":64,"speedup_ratio":1000.0,"worker_type":"decode"}',
)
report = _assert_replay_cli_outputs(completed, report_path)
_assert_basic_report_counts(
report,
num_requests=10,
input_tokens=250,
output_tokens=25,
)
_assert_basic_report_metrics(report)
@pytest.mark.timeout(30)
def test_replay_cli_subprocess_multiturn_trace_smoke(tmp_path):
trace_path = _write_multiturn_trace(tmp_path)
report_path = tmp_path / "multiturn_trace_report.json"
completed = _run_replay_cli(
tmp_path,
str(trace_path),
"--replay-mode",
"online",
"--router-mode",
"kv_router",
"--num-workers",
"2",
"--report-json",
str(report_path),
"--extra-engine-args",
'{"block_size":64,"speedup_ratio":1000.0}',
)
report = _assert_replay_cli_outputs(completed, report_path)
_assert_basic_report_counts(
report,
num_requests=4,
input_tokens=64,
output_tokens=2,
)
_assert_basic_report_metrics(report)
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