| 1 | # SPDX-License-Identifier: Apache-2.0 |
| 2 | # SPDX-FileCopyrightText: Copyright contributors to the vLLM project |
| 3 | """Utility functions that create ORCA endpoint load report response headers.""" |
| 4 | |
| 5 | import json |
| 6 | from collections.abc import Mapping |
| 7 | |
| 8 | from vllm.logger import init_logger |
| 9 | from vllm.v1.metrics.reader import Gauge, get_metrics_snapshot |
| 10 | |
| 11 | logger = init_logger(__name__) |
| 12 | |
| 13 | |
| 14 | def create_orca_header( |
| 15 | metrics_format: str, named_metrics: list[tuple[str, float]] |
| 16 | ) -> Mapping[str, str] | None: |
| 17 | """Creates ORCA headers named 'endpoint-load-metrics' in the specified format |
| 18 | and adds custom metrics to named_metrics. |
| 19 | ORCA headers format description: https://docs.google.com/document/d/1C1ybMmDKJIVlrbOLbywhu9iRYo4rilR-cT50OTtOFTs/edit?tab=t.0 |
| 20 | ORCA proto https://github.com/cncf/xds/blob/main/xds/data/orca/v3/orca_load_report.proto |
| 21 | |
| 22 | Args: |
| 23 | metrics_format (str): The format of the header ('TEXT', 'JSON'). |
| 24 | named_metrics (List[Tuple[str, float]]): List of tuples with metric names |
| 25 | and their corresponding double values. |
| 26 | |
| 27 | Returns: |
| 28 | - Optional[Mapping[str,str]]: A dictionary with header key as |
| 29 | 'endpoint-load-metrics' and values as the ORCA header strings with |
| 30 | format prefix and data in with named_metrics in. |
| 31 | |
| 32 | """ |
| 33 | if metrics_format.lower() not in ["text", "json"]: |
| 34 | logger.warning( |
| 35 | "Warning: `%s` format is not supported in the ORCA response header", |
| 36 | format, |
| 37 | ) |
| 38 | return None |
| 39 | |
| 40 | header = {} |
| 41 | orca_report = { |
| 42 | "named_metrics": { |
| 43 | metric_name: value |
| 44 | for metric_name, value in named_metrics |
| 45 | if isinstance(metric_name, str) and isinstance(value, float) |
| 46 | } |
| 47 | } |
| 48 | # output example: |
| 49 | # endpoint-load-metrics: TEXT named_metrics.kv_cache_utilization=0.4 |
| 50 | if metrics_format.lower() == "text": |
| 51 | native_http_header = ", ".join( |
| 52 | [ |
| 53 | f"named_metrics.{metric_name}={value}" |
| 54 | for metric_name, value in named_metrics |
| 55 | if isinstance(metric_name, str) and isinstance(value, float) |
| 56 | ] |
| 57 | ) |
| 58 | header["endpoint-load-metrics"] = f"TEXT {native_http_header}" |
| 59 | |
| 60 | # output example: |
| 61 | # endpoint-load-metrics: JSON “named_metrics”: {“custom-metric-util”: 0.4} |
| 62 | elif metrics_format.lower() == "json": |
| 63 | header["endpoint-load-metrics"] = f"JSON {json.dumps(orca_report)}" |
| 64 | |
| 65 | logger.info("Created ORCA header %s", header) |
| 66 | |
| 67 | return header |
| 68 | |
| 69 | |
| 70 | def get_named_metrics_from_prometheus() -> list[tuple[str, float]]: |
| 71 | """Collects current metrics from Prometheus and returns some of them |
| 72 | in the form of the `named_metrics` list for `create_orca_header()`. |
| 73 | |
| 74 | Parameters |
| 75 | ---------- |
| 76 | - None |
| 77 | |
| 78 | Returns |
| 79 | ------- |
| 80 | - list[tuple[str, float]]: List of tuples of metric names and their values. |
| 81 | |
| 82 | """ |
| 83 | named_metrics: list[tuple[str, float]] = [] |
| 84 | # Map from prometheus metric names to ORCA named metrics. |
| 85 | prometheus_to_orca_metrics = { |
| 86 | "vllm:kv_cache_usage_perc": "kv_cache_usage_perc", |
| 87 | "vllm:num_requests_waiting": "num_requests_waiting", |
| 88 | } |
| 89 | metrics = get_metrics_snapshot() |
| 90 | for metric in metrics: |
| 91 | orca_name = prometheus_to_orca_metrics.get(metric.name) |
| 92 | # If this metric is mapped into ORCA, then add it to the report. |
| 93 | # Note: Only Gauge metrics are currently supported. |
| 94 | if orca_name is not None and isinstance(metric, Gauge): |
| 95 | named_metrics.append((str(orca_name), float(metric.value))) |
| 96 | return named_metrics |
| 97 | |
| 98 | |
| 99 | def metrics_header(metrics_format: str) -> Mapping[str, str] | None: |
| 100 | """Creates ORCA headers named 'endpoint-load-metrics' in the specified format. |
| 101 | Metrics are collected from Prometheus using `get_named_metrics_from_prometheus()`. |
| 102 | |
| 103 | ORCA headers format description: https://docs.google.com/document/d/1C1ybMmDKJIVlrbOLbywhu9iRYo4rilR-cT50OTtOFTs/edit?tab=t.0 |
| 104 | ORCA proto https://github.com/cncf/xds/blob/main/xds/data/orca/v3/orca_load_report.proto |
| 105 | |
| 106 | Args: |
| 107 | metrics_format (str): The format of the header ('TEXT', 'JSON'). |
| 108 | |
| 109 | Returns: |
| 110 | - Optional[Mapping[str,str]]: A dictionary with header key as |
| 111 | 'endpoint-load-metrics' and values as the ORCA header strings with |
| 112 | format prefix and data in with named_metrics in. |
| 113 | |
| 114 | """ |
| 115 | if not metrics_format: |
| 116 | return None |
| 117 | # Get named metrics from prometheus. |
| 118 | named_metrics = get_named_metrics_from_prometheus() |
| 119 | return create_orca_header(metrics_format, named_metrics) |