mirror of
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68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
"""
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Prometheus metrics for monitoring
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"""
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from prometheus_client import Counter, Gauge, Histogram
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# 并发槽位占用时长分布
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concurrency_slot_duration_seconds = Histogram(
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"concurrency_slot_duration_seconds",
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"Duration of concurrency slot occupation in seconds",
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["key_id", "exception"],
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buckets=[0.1, 0.5, 1, 5, 10, 30, 60, 120, 300, 600], # 0.1s 到 10 分钟
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)
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# 并发槽位释放计数
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concurrency_slot_release_total = Counter(
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"concurrency_slot_release_total",
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"Total number of concurrency slot releases",
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["key_id", "exception"],
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)
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# 当前并发槽位使用数
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concurrency_slots_in_use = Gauge(
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"concurrency_slots_in_use", "Current number of concurrency slots in use", ["key_id"]
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)
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# 流式请求时长分布
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streaming_request_duration_seconds = Histogram(
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"streaming_request_duration_seconds",
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"Duration of streaming requests in seconds",
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["key_id", "status"],
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buckets=[1, 5, 10, 30, 60, 120, 300, 600, 1800], # 1s 到 30 分钟
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)
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# 请求总数（按类型）
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request_total = Counter(
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"request_total",
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"Total number of requests",
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["type", "status"], # type values: streaming/non-streaming, status: success/error
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)
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# 健康监控相关
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health_open_circuits = Gauge(
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"health_open_circuits",
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"Number of provider keys currently in circuit breaker open state",
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)
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# 模型映射解析相关
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model_mapping_resolution_total = Counter(
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"model_mapping_resolution_total",
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"Total number of model mapping resolutions",
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["method", "cache_hit"],
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# method: direct_match, provider_model_name, mapping, not_found
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# cache_hit: true, false
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)
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model_mapping_resolution_duration_seconds = Histogram(
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"model_mapping_resolution_duration_seconds",
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"Duration of model mapping resolution in seconds",
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["method"],
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buckets=[0.001, 0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1.0], # 1ms 到 1s
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)
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model_mapping_conflict_total = Counter(
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"model_mapping_conflict_total",
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"Total number of mapping conflicts detected (same name maps to multiple GlobalModels)",
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)
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