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https://github.com/tiennm99/litellm.git
synced 2026-08-10 18:23:09 +00:00
added prometheus metrics
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@@ -95,13 +95,14 @@ class PrometheusLogger(CustomLogger):
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self.litellm_llm_api_time_to_first_token_metric = self._histogram_factory(
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"litellm_llm_api_time_to_first_token_metric",
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"Time to first token for a models LLM API call",
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labelnames=[
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"model",
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"hashed_api_key",
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"api_key_alias",
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"team",
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"team_alias",
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],
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# labelnames=[
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# "model",
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# "hashed_api_key",
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# "api_key_alias",
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# "team",
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# "team_alias",
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# ],
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labelnames=self.get_labels_for_metric("litellm_llm_api_time_to_first_token_metric"),
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buckets=LATENCY_BUCKETS,
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)
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@@ -255,13 +256,14 @@ class PrometheusLogger(CustomLogger):
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self.litellm_deployment_state = self._gauge_factory(
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"litellm_deployment_state",
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"LLM Deployment Analytics - The state of the deployment: 0 = healthy, 1 = partial outage, 2 = complete outage",
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labelnames=_logged_llm_labels,
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labelnames=self.get_labels_for_metric("litellm_deployment_state")
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)
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self.litellm_deployment_cooled_down = self._counter_factory(
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"litellm_deployment_cooled_down",
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"LLM Deployment Analytics - Number of times a deployment has been cooled down by LiteLLM load balancing logic. exception_status is the status of the exception that caused the deployment to be cooled down",
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labelnames=_logged_llm_labels + [EXCEPTION_STATUS],
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# labelnames=_logged_llm_labels + [EXCEPTION_STATUS],
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labelnames=self.get_labels_for_metric("litellm_deployment_cooled_down")
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)
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self.litellm_deployment_success_responses = self._counter_factory(
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@@ -154,6 +154,7 @@ class UserAPIKeyLabelNames(Enum):
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DEFINED_PROMETHEUS_METRICS = Literal[
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"litellm_llm_api_latency_metric",
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"litellm_llm_api_time_to_first_token_metric",
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"litellm_request_total_latency_metric",
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"litellm_overhead_latency_metric",
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"litellm_remaining_requests_metric",
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@@ -173,9 +174,11 @@ DEFINED_PROMETHEUS_METRICS = Literal[
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"litellm_remaining_api_key_budget_metric",
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"litellm_api_key_max_budget_metric",
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"litellm_api_key_budget_remaining_hours_metric",
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"litellm_deployment_state",
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"litellm_deployment_failure_responses",
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"litellm_deployment_total_requests",
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"litellm_deployment_success_responses",
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"litellm_deployment_cooled_down",
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"litellm_pod_lock_manager_size",
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"litellm_in_memory_daily_spend_update_queue_size",
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"litellm_redis_daily_spend_update_queue_size",
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@@ -191,9 +194,14 @@ class PrometheusMetricLabels:
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UserAPIKeyLabelNames.API_KEY_ALIAS.value,
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UserAPIKeyLabelNames.TEAM.value,
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UserAPIKeyLabelNames.TEAM_ALIAS.value,
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UserAPIKeyLabelNames.REQUESTED_MODEL.value,
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UserAPIKeyLabelNames.END_USER.value,
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UserAPIKeyLabelNames.USER.value,
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]
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litellm_llm_api_time_to_first_token_metric = [
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UserAPIKeyLabelNames.v1_LITELLM_MODEL_NAME.value,
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UserAPIKeyLabelNames.API_KEY_HASH.value,
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UserAPIKeyLabelNames.API_KEY_ALIAS.value,
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UserAPIKeyLabelNames.TEAM.value,
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UserAPIKeyLabelNames.TEAM_ALIAS.value,
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]
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litellm_request_total_latency_metric = [
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@@ -315,6 +323,20 @@ class PrometheusMetricLabels:
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UserAPIKeyLabelNames.REQUESTED_MODEL.value,
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]
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litellm_deployment_state = [
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UserAPIKeyLabelNames.v2_LITELLM_MODEL_NAME.value,
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UserAPIKeyLabelNames.MODEL_ID.value,
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UserAPIKeyLabelNames.API_BASE.value,
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UserAPIKeyLabelNames.API_PROVIDER.value,
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]
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litellm_deployment_cooled_down = [
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UserAPIKeyLabelNames.v2_LITELLM_MODEL_NAME.value,
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UserAPIKeyLabelNames.MODEL_ID.value,
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UserAPIKeyLabelNames.API_BASE.value,
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UserAPIKeyLabelNames.API_PROVIDER.value,
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]
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litellm_deployment_successful_fallbacks = [
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UserAPIKeyLabelNames.REQUESTED_MODEL.value,
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UserAPIKeyLabelNames.FALLBACK_MODEL.value,
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