# 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"))