{
  "audit_target": "KV Cache implementation",
  "timestamp": "2026-06-07",
  "kvcache_class_analysis": {
    "class_exists": true,
    "buffer_shape_description": "num_layers, max_seq_len, num_kv_heads, head_dim",
    "is_contiguous": true,
    "has_block_tables": false,
    "has_paged_logic": false,
    "methods": [
      "__init__",
      "reset",
      "write",
      "read",
      "layer_cache",
      "_check_layer_idx",
      "_check_kv",
      "_normalize_positions"
    ]
  },
  "cross_references_in_engine": {
    "imports": [],
    "instantiations": [
      "core/kv_cache.py"
    ],
    "forward_usage": [],
    "total_files_scanned": 10
  },
  "cross_reference_verdict": "ZERO forward references — KVCache is never imported or used by any model code",
  "is_wired_to_forward": false,
  "context_scaffolding": {
    "has_block_tables": true,
    "has_slot_mapping": true,
    "has_context_lens": true,
    "set_context_calls": 2,
    "get_context_calls": 1
  },
  "context_verdict": "set_context called 2 times",
  "config_paged_fields": {
    "kvcache_block_size": "int = 16",
    "num_kvcache_blocks": "int = -1"
  },
  "contiguous_or_paged": "contiguous buffer",
  "conclusion": "KVCache 是 contiguous buffer 实现，不是 paged attention。整个 minivllm/ 代码库中没有对 KVCache 的任何 forward 引用——它是 dead code。Context.set_context() 从未被调用，block_tables 等脚手架字段处于休眠状态。Config 中有 kvcache_block_size 字段（paged attention 预留），但无代码使用。"
}