Litellm dev 12 24 2024 p4 (#7407)

* fix(invoke_handler.py): fix mock response iterator to handle tool calling

returns tool call if returned by model response

* fix(prometheus.py): add new 'tokens_by_tag' metric on prometheus

allows tracking 'token usage' by task

* feat(prometheus.py): add input + output token tracking by tag

* feat(prometheus.py): add tag based deployment failure tracking

allows admin to track failure by use-case
This commit is contained in:
Krish Dholakia 2024-12-24 20:24:06 -08:00 committed by GitHub
parent 81be0b4090
commit 39dabb2e89
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GPG key ID: B5690EEEBB952194
5 changed files with 209 additions and 12 deletions

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@ -76,7 +76,7 @@ class PrometheusLogger(CustomLogger):
UserAPIKeyLabelNames.TEAM.value,
UserAPIKeyLabelNames.TEAM_ALIAS.value,
UserAPIKeyLabelNames.USER.value,
UserAPIKeyLabelNames.LITELLM_MODEL.value,
UserAPIKeyLabelNames.v1_LITELLM_MODEL_NAME.value,
],
buckets=LATENCY_BUCKETS,
)
@ -85,7 +85,7 @@ class PrometheusLogger(CustomLogger):
"litellm_llm_api_latency_metric",
"Total latency (seconds) for a models LLM API call",
labelnames=[
UserAPIKeyLabelNames.LITELLM_MODEL.value,
UserAPIKeyLabelNames.v1_LITELLM_MODEL_NAME.value,
UserAPIKeyLabelNames.API_KEY_HASH.value,
UserAPIKeyLabelNames.API_KEY_ALIAS.value,
UserAPIKeyLabelNames.TEAM.value,
@ -140,6 +140,14 @@ class PrometheusLogger(CustomLogger):
],
)
# Counter for tokens by tag
self.litellm_tokens_by_tag_metric = Counter(
"litellm_total_tokens_by_tag",
"Total number of input + output tokens from LLM requests by custom metadata tags",
labelnames=[
UserAPIKeyLabelNames.TAG.value,
],
)
self.litellm_input_tokens_metric = Counter(
"litellm_input_tokens",
"Total number of input tokens from LLM requests",
@ -153,6 +161,16 @@ class PrometheusLogger(CustomLogger):
"user",
],
)
# Counter for input tokens by tag
self.litellm_input_tokens_by_tag_metric = Counter(
"litellm_input_tokens_by_tag",
"Total number of input tokens from LLM requests by custom metadata tags",
labelnames=[
UserAPIKeyLabelNames.TAG.value,
],
)
self.litellm_output_tokens_metric = Counter(
"litellm_output_tokens",
"Total number of output tokens from LLM requests",
@ -167,6 +185,15 @@ class PrometheusLogger(CustomLogger):
],
)
# Counter for output tokens by tag
self.litellm_output_tokens_by_tag_metric = Counter(
"litellm_output_tokens_by_tag",
"Total number of output tokens from LLM requests by custom metadata tags",
labelnames=[
UserAPIKeyLabelNames.TAG.value,
],
)
# Remaining Budget for Team
self.litellm_remaining_team_budget_metric = Gauge(
"litellm_remaining_team_budget_metric",
@ -237,10 +264,10 @@ class PrometheusLogger(CustomLogger):
# Get all keys
_logged_llm_labels = [
"litellm_model_name",
"model_id",
"api_base",
"api_provider",
UserAPIKeyLabelNames.v2_LITELLM_MODEL_NAME.value,
UserAPIKeyLabelNames.MODEL_ID.value,
UserAPIKeyLabelNames.API_BASE.value,
UserAPIKeyLabelNames.API_PROVIDER.value,
]
team_and_key_labels = [
"hashed_api_key",
@ -275,6 +302,16 @@ class PrometheusLogger(CustomLogger):
+ EXCEPTION_LABELS
+ team_and_key_labels,
)
self.litellm_deployment_failure_by_tag_responses = Counter(
"litellm_deployment_failure_by_tag_responses",
"Total number of failed LLM API calls for a specific LLM deploymeny by custom metadata tags",
labelnames=[
UserAPIKeyLabelNames.REQUESTED_MODEL.value,
UserAPIKeyLabelNames.TAG.value,
]
+ _logged_llm_labels
+ EXCEPTION_LABELS,
)
self.litellm_deployment_total_requests = Counter(
name="litellm_deployment_total_requests",
documentation="LLM Deployment Analytics - Total number of LLM API calls via litellm - success + failure",
@ -490,6 +527,14 @@ class PrometheusLogger(CustomLogger):
user_id,
).inc(standard_logging_payload["total_tokens"])
_tags = standard_logging_payload["request_tags"]
for tag in _tags:
self.litellm_tokens_by_tag_metric.labels(
**{
UserAPIKeyLabelNames.TAG.value: tag,
}
).inc(standard_logging_payload["total_tokens"])
self.litellm_input_tokens_metric.labels(
end_user_id,
user_api_key,
@ -500,6 +545,13 @@ class PrometheusLogger(CustomLogger):
user_id,
).inc(standard_logging_payload["prompt_tokens"])
for tag in _tags:
self.litellm_input_tokens_by_tag_metric.labels(
**{
UserAPIKeyLabelNames.TAG.value: tag,
}
).inc(standard_logging_payload["prompt_tokens"])
self.litellm_output_tokens_metric.labels(
end_user_id,
user_api_key,
@ -510,6 +562,13 @@ class PrometheusLogger(CustomLogger):
user_id,
).inc(standard_logging_payload["completion_tokens"])
for tag in _tags:
self.litellm_output_tokens_by_tag_metric.labels(
**{
UserAPIKeyLabelNames.TAG.value: tag,
}
).inc(standard_logging_payload["completion_tokens"])
def _increment_remaining_budget_metrics(
self,
user_api_team: Optional[str],
@ -651,7 +710,7 @@ class PrometheusLogger(CustomLogger):
api_call_total_time_seconds = api_call_total_time.total_seconds()
self.litellm_llm_api_latency_metric.labels(
**{
UserAPIKeyLabelNames.LITELLM_MODEL.value: model,
UserAPIKeyLabelNames.v1_LITELLM_MODEL_NAME.value: model,
UserAPIKeyLabelNames.API_KEY_HASH.value: user_api_key,
UserAPIKeyLabelNames.API_KEY_ALIAS.value: user_api_key_alias,
UserAPIKeyLabelNames.TEAM.value: user_api_team,
@ -686,7 +745,7 @@ class PrometheusLogger(CustomLogger):
UserAPIKeyLabelNames.USER.value: standard_logging_payload[
"metadata"
]["user_api_key_user_id"],
UserAPIKeyLabelNames.LITELLM_MODEL.value: model,
UserAPIKeyLabelNames.v1_LITELLM_MODEL_NAME.value: model,
}
).observe(total_time_seconds)
@ -862,6 +921,24 @@ class PrometheusLogger(CustomLogger):
],
).inc()
# tag based tracking
_tags = standard_logging_payload["request_tags"]
for tag in _tags:
self.litellm_deployment_failure_by_tag_responses.labels(
**{
UserAPIKeyLabelNames.REQUESTED_MODEL.value: model_group,
UserAPIKeyLabelNames.TAG.value: tag,
UserAPIKeyLabelNames.v2_LITELLM_MODEL_NAME.value: litellm_model_name,
UserAPIKeyLabelNames.MODEL_ID.value: model_id,
UserAPIKeyLabelNames.API_BASE.value: api_base,
UserAPIKeyLabelNames.API_PROVIDER.value: llm_provider,
UserAPIKeyLabelNames.EXCEPTION_CLASS.value: exception.__class__.__name__,
UserAPIKeyLabelNames.EXCEPTION_STATUS.value: str(
getattr(exception, "status_code", None)
),
}
).inc()
self.litellm_deployment_total_requests.labels(
litellm_model_name=litellm_model_name,
model_id=model_id,
@ -881,8 +958,12 @@ class PrometheusLogger(CustomLogger):
).inc()
pass
except Exception:
pass
except Exception as e:
verbose_logger.debug(
"Prometheus Error: set_llm_deployment_failure_metrics. Exception occured - {}".format(
str(e)
)
)
def set_llm_deployment_success_metrics(
self,