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feat: add metrics
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3 files changed

+149
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lines changed

‎veadk/tracing/telemetry/exporters/apmplus_exporter.py‎

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Original file line numberDiff line numberDiff line change
@@ -30,6 +30,13 @@
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from veadk.config import getenv
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from veadk.tracing.telemetry.exporters.base_exporter import BaseExporter
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from veadk.tracing.telemetry.metrics.buckets import (
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_GEN_AI_CLIENT_OPERATION_DURATION_BUCKETS,
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_GEN_AI_SERVER_TIME_PER_OUTPUT_TOKEN_BUCKETS,
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_GEN_AI_SERVER_TIME_TO_FIRST_TOKEN_BUCKETS,
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_GEN_AI_CLIENT_TOKEN_USAGE_BUCKETS,
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)
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from veadk.tracing.telemetry.metrics import Meters
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from veadk.utils.logger import get_logger
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logger = get_logger(__name__)
@@ -73,6 +80,37 @@ def __init__(
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name="gen_ai.client.token.usage",
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description="Token consumption of LLM invocations",
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unit="count",
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explicit_bucket_boundaries_advisory=_GEN_AI_CLIENT_TOKEN_USAGE_BUCKETS
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)
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self.duration_histogram = self.meter.create_histogram(
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name=Meters.LLM_OPERATION_DURATION,
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unit="s",
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description="GenAI operation duration",
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explicit_bucket_boundaries_advisory=_GEN_AI_CLIENT_OPERATION_DURATION_BUCKETS
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)
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# 统计 exception，酌情判断是否好获取？
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self.chat_exception_counter = self.meter.create_counter(
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name=Meters.LLM_COMPLETIONS_EXCEPTIONS,
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unit="time",
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description="Number of exceptions occurred during chat completions",
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)
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self.streaming_time_to_first_token = self.meter.create_histogram(
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name=Meters.LLM_STREAMING_TIME_TO_FIRST_TOKEN,
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unit="s",
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description="Time to first token in streaming chat completions",
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explicit_bucket_boundaries_advisory=_GEN_AI_SERVER_TIME_TO_FIRST_TOKEN_BUCKETS
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)
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self.streaming_time_to_generate = self.meter.create_histogram(
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name=Meters.LLM_STREAMING_TIME_TO_GENERATE,
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unit="s",
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description="Time between first token and completion in streaming chat completions",
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explicit_bucket_boundaries_advisory=_GEN_AI_CLIENT_OPERATION_DURATION_BUCKETS
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)
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self.streaming_time_per_output_token = self.meter.create_histogram(
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name=Meters.LLM_STREAMING_TIME_PER_OUTPUT_TOKEN,
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unit="s",
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description="Time per output token in streaming chat completions",
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explicit_bucket_boundaries_advisory=_GEN_AI_SERVER_TIME_PER_OUTPUT_TOKEN_BUCKETS
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)
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def record(self, llm_request: LlmRequest, llm_response: LlmResponse) -> None:
@@ -99,6 +137,31 @@ def record(self, llm_request: LlmRequest, llm_response: LlmResponse) -> None:
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token_attributes = {**attributes, "gen_ai_token_type": "output"}
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self.token_usage.record(output_token, attributes=token_attributes)
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# TODO: get llm duration
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duration = 5.0
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if self.duration_histogram:
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self.duration_histogram.record(duration, attributes=attributes)
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# TODO: get streaming time to first token
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time_to_frist_token = 0.1
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if self.streaming_time_to_first_token:
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self.streaming_time_to_first_token.record(time_to_frist_token, attributes=attributes)
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# TODO: get streaming time to generate
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time_to_generate = 1.0
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if self.streaming_time_to_generate:
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self.streaming_time_to_generate.record(time_to_generate, attributes=attributes)
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# TODO: get streaming time per output token
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time_per_output_token = 0.01
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if self.streaming_time_per_output_token:
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self.streaming_time_per_output_token.record(time_per_output_token, attributes=attributes)
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# TODO: catch exception
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e = Exception("test")
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exception_attributes = {**attributes, "error_type": e.__class__.__name__}
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if self.chat_exception_counter:
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self.chat_exception_counter.add(1, exception_attributes)
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class APMPlusExporterConfig(BaseModel):
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endpoint: str = Field(

‎veadk/tracing/telemetry/metrics/__init__.py‎

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@@ -0,0 +1,17 @@
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class Meters:
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LLM_GENERATION_CHOICES = "gen_ai.client.generation.choices"
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LLM_TOKEN_USAGE = "gen_ai.client.token.usage"
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LLM_OPERATION_DURATION = "gen_ai.client.operation.duration"
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LLM_COMPLETIONS_EXCEPTIONS = "gen_ai.chat_completions.exceptions"
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LLM_STREAMING_TIME_TO_FIRST_TOKEN = (
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"gen_ai.chat_completions.streaming_time_to_first_token"
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)
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LLM_STREAMING_TIME_TO_GENERATE = (
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"gen_ai.chat_completions.streaming_time_to_generate"
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)
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LLM_STREAMING_TIME_PER_OUTPUT_TOKEN = (
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"gen_ai.chat_completions.streaming_time_per_output_token"
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)
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LLM_CHAT_COUNT = (
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"gen_ai.chat.count"
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)

‎veadk/tracing/telemetry/metrics/buckets.py‎

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_GEN_AI_CLIENT_OPERATION_DURATION_BUCKETS = [
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0.01,
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0.02,
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0.04,
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0.08,
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0.16,
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0.32,
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0.64,
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1.28,
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2.56,
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5.12,
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10.24,
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20.48,
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40.96,
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81.92,
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]
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_GEN_AI_SERVER_TIME_PER_OUTPUT_TOKEN_BUCKETS = [
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0.01,
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0.025,
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0.05,
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0.075,
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0.1,
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0.15,
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0.2,
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0.3,
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0.4,
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0.5,
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0.75,
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1.0,
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2.5,
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]
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_GEN_AI_SERVER_TIME_TO_FIRST_TOKEN_BUCKETS = [
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0.001,
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0.005,
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0.01,
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0.02,
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0.04,
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0.06,
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0.08,
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0.1,
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0.25,
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0.5,
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0.75,
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1.0,
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2.5,
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5.0,
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7.5,
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10.0,
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]
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_GEN_AI_CLIENT_TOKEN_USAGE_BUCKETS = [
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1,
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4,
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16,
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64,
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256,
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1024,
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4096,
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16384,
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65536,
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262144,
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1048576,
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4194304,
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16777216,
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67108864,
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]
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