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[V1 Engine][Metrics] Add token-level KV cache metrics
This commit adds token-level KV cache metrics to the V1 engine, enabling more granular monitoring of KV cache utilization beyond the existing percentage-based metrics. This PR addresses the V1 metrics initiative mentioned in vllm-project#14101. Currently, vLLM V1 engine only provides kv_cache_usage as a float (0.0-1.0) representing percentage. While useful, this doesn't give users absolute token counts, which are critical for: - Capacity Planning: Knowing "65% used" doesn't tell you when you'll run out - Cost Accounting: Token-based billing requires absolute counts - Metrics Collection: Prometheus/Grafana dashboards need concrete numbers - Debugging: Understanding exact cache state during issues Add three new fields to SchedulerStats dataclass: - kv_cache_total_tokens: int = 0 - kv_cache_used_tokens: int = 0 - kv_cache_free_tokens: int = 0 Add get_num_total_blocks() method to BlockPool: - Returns total GPU blocks available for allocation - Excludes 1 block reserved for system use (-1) - Matches internal allocation behavior Add three read-only properties to KVCacheManager: - total_tokens: Total capacity (num_total_blocks × block_size) - free_tokens: Available space (num_free_blocks × block_size) - used_tokens: Occupied space (total_tokens - free_tokens) Update make_stats() to populate new token metrics: - kv_cache_total_tokens from kv_cache_manager.total_tokens - kv_cache_used_tokens from kv_cache_manager.used_tokens - kv_cache_free_tokens from kv_cache_manager.free_tokens - Actionable Metrics: "28k tokens left" vs "35% free" - Prometheus Export: Direct token counts for dashboards - Cost Attribution: Token-based billing becomes trivial - Capacity Planning: Know exactly when to scale - Backward Compatible: Existing code continues to work - Minimal Overhead: Simple arithmetic, no new allocations Before (only percentage): ``` kv_cache_usage: 0.65 ``` After (percentage + tokens): ``` kv_cache_usage: 0.65 kv_cache_total_tokens: 82448 kv_cache_used_tokens: 53591 kv_cache_free_tokens: 28857 ``` Now operators can see: "We have ~29k tokens left before we need to scale" - All modified files pass Python syntax check (py_compile) - No breaking changes to existing metrics - New fields have default values (backward compatible) - Closes vllm-project#12283 - Add KV Cache Metrics to Usage Object - Addresses vllm-project#26850 - Add new stats metrics for available_kv_cache_memory - Supersedes vllm-project#14101 - Frontend KV cache metrics PR Signed-off-by: dlalstjd931203 <[email protected]> Signed-off-by: Minsung-commit <[email protected]>
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vllm/v1/core/block_pool.py

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@@ -440,6 +440,18 @@ def get_num_free_blocks(self) -> int:
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"""
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return self.free_block_queue.num_free_blocks
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def get_num_total_blocks(self) -> int:
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"""Get the total number of blocks in the pool.
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Returns:
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The total number of GPU blocks available for allocation.
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Note:
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Excludes 1 block reserved for system use to match
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internal allocation behavior.
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"""
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return self.num_gpu_blocks - 1
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def get_usage(self) -> float:
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"""Get the KV cache usage.
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vllm/v1/core/kv_cache_manager.py

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@@ -106,6 +106,7 @@ def __init__(
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metrics_collector: KVCacheMetricsCollector | None = None,
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) -> None:
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self.max_model_len = max_model_len
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self.block_size = hash_block_size
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self.enable_caching = enable_caching
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self.use_eagle = use_eagle
@@ -149,6 +150,40 @@ def usage(self) -> float:
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"""
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return self.block_pool.get_usage()
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@property
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def total_tokens(self) -> int:
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"""Get the total KV cache capacity in tokens.
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Returns:
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Total number of tokens that can be stored in the KV cache.
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Calculated as: num_total_blocks × block_size
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"""
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return self.block_pool.get_num_total_blocks() * self.block_size
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@property
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def free_tokens(self) -> int:
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"""Get the number of available tokens in the KV cache.
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Returns:
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Number of free tokens available for allocation.
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Calculated as: num_free_blocks × block_size
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"""
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return self.block_pool.get_num_free_blocks() * self.block_size
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@property
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def used_tokens(self) -> int:
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"""Get the number of currently used tokens in the KV cache.
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Returns:
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Number of tokens currently occupied in the KV cache.
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Calculated as: total_tokens - free_tokens
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Note:
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This is a derived metric. The actual allocation is tracked
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at the block level by BlockPool.
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"""
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return self.total_tokens - self.free_tokens
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def make_prefix_cache_stats(self) -> PrefixCacheStats | None:
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"""Get (and reset) the prefix cache stats.
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vllm/v1/core/sched/scheduler.py

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@@ -1439,6 +1439,9 @@ def make_stats(
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num_running_reqs=len(self.running),
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num_waiting_reqs=len(self.waiting),
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kv_cache_usage=self.kv_cache_manager.usage,
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kv_cache_total_tokens=self.kv_cache_manager.total_tokens,
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kv_cache_used_tokens=self.kv_cache_manager.used_tokens,
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kv_cache_free_tokens=self.kv_cache_manager.free_tokens,
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prefix_cache_stats=prefix_cache_stats,
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connector_prefix_cache_stats=connector_prefix_cache_stats,
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kv_cache_eviction_events=eviction_events,

vllm/v1/metrics/stats.py

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@@ -171,6 +171,9 @@ class SchedulerStats:
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current_wave: int = 0
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kv_cache_usage: float = 0.0
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kv_cache_total_tokens: int = 0
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kv_cache_used_tokens: int = 0
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kv_cache_free_tokens: int = 0
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prefix_cache_stats: PrefixCacheStats = field(default_factory=PrefixCacheStats)
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connector_prefix_cache_stats: PrefixCacheStats | None = None

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