{
  "observation": "The incumbent should start from the known launch-safe qwen3.5-27b serving recipe on dash0 before asking the LLM to optimize throughput above that baseline.",
  "diagnosis": "This model uses a long-context hybrid stack and fp8 quantization. The safest first measurement is to preserve the existing warmup, hybrid-model, chunked-prefill, and prefix-caching behavior from run_qwen27b.sh, while keeping a conservative sequence cap.",
  "config_patch": {
    "env_patch": {
      "VLLM_ATTENTION_BACKEND": "FLASH_ATTN",
      "VLLM_ENABLE_TORCH_COMPILE": "1",
      "VLLM_USE_FLASHINFER_SAMPLER": "0",
      "VLLM_ENABLE_MODEL_RUNNER_WARMUP": "1"
    },
    "flag_patch": {
      "tensor-parallel-size": 4,
      "gpu-memory-utilization": 0.9,
      "block-size": 64,
      "max-num-batched-tokens": 8192,
      "max-num-seqs": 16,
      "enable-prefix-caching": true,
      "enable-chunked-prefill": true,
      "disable-cascade-attn": true
    }
  },
  "expected_effects": [
    "Launch-safe baseline aligned with the current hand-tuned qwen27b recipe while using all 4 visible H20 GPUs",
    "Reliable first incumbent under the tighter TTFT and TPOT SLO",
    "Clear trial history for the LLM to propose a higher-throughput follow-up patch"
  ],
  "why_not_previous_failures": "This baseline intentionally avoids speculative new kernels or batching spikes before we have an incumbent under the new SLO."
}