Add study tune loop and smoke configs
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83
configs/examples/dash0_smoke_study.json
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83
configs/examples/dash0_smoke_study.json
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{
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"study_id": "dash0-qwen30b-chat-smoke",
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"hardware": {
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"gpu_count": 4,
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"gpu_model": "H20",
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"host_candidates": ["dash0"]
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},
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"model": {
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"model_id": "qwen3-30b-a3b",
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"served_model_name": "qwen3-30b-smoke"
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},
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"engine": {
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"engine_name": "vllm",
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"engine_version": "0.13.0rc2.dev2111+gb44b43f43.d20260309",
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"exec_path": "/usr/local/bin/vllm",
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"cwd": "/home/admin/cpfs/wjh/aituner/aituner",
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"host": "127.0.0.1",
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"port": 18080,
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"healthcheck_path": "/v1/models",
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"ready_timeout_s": 900,
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"request_timeout_s": 900,
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"launch_args": [
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"serve",
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"/home/admin/resource/model/464482ce.qwen3-30b-a3b/1m-instruct-0726-fp4"
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],
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"base_envs": {
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"CUDA_VISIBLE_DEVICES": "0,1,2,3"
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},
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"base_flags": {
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"host": "127.0.0.1",
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"port": 18080,
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"served-model-name": "qwen3-30b-smoke",
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"max-model-len": 65536,
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"disable-log-requests": true,
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"trust-remote-code": true
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},
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"tunable_envs": [
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"VLLM_ATTENTION_BACKEND"
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],
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"tunable_flags": [
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"tensor-parallel-size",
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"max-num-seqs",
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"max-num-batched-tokens",
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"gpu-memory-utilization",
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"block-size"
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],
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"python_executable": "python3"
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},
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"trace": {
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"windows_path": "/home/admin/cpfs/wjh/aituner/aituner/trace_windows/windows.json",
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"window_id": "chat_w20260311_1000",
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"u_field": "sampling_u",
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"timestamp_field": "timestamp",
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"max_concurrency": 2,
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"max_requests_per_probe": 24
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},
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"slo": {
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"target_pass_rate": 0.95,
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"ttft_rule": {
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"kind": "step_ms",
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"buckets": [
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{"max_input_tokens": 4096, "threshold_ms": 15000},
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{"max_input_tokens": 16384, "threshold_ms": 30000},
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{"threshold_ms": 45000}
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]
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},
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"tpot_rule": {
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"kind": "fixed_ms",
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"threshold_ms": 1500
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}
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},
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"search": {
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"low": 0.0,
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"high": 1.0,
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"tolerance": 0.1,
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"max_probes": 4,
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"sample_seed": 20260325
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},
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"llm": {
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"system_prompt": "Propose a single engine config patch that increases the maximum feasible sampling_u under the SLO target.",
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"max_history_trials": 8
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}
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}
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