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Fix test and add comments

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Nate Mar 2025-03-18 03:46:53 -07:00
parent da9ef84fa5
commit cfbefb643c
3 changed files with 13 additions and 11 deletions
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14
litellm/integrations/arize/_utils.py
View file

@ -19,13 +19,16 @@ def set_attributes(span: Span, kwargs, response_obj):
) )
try: try:
litellm_params = kwargs.get("litellm_params", {}) or {} standard_logging_payload: Optional[StandardLoggingPayload] = kwargs.get(
"standard_logging_object"
)
############################################# #############################################
############ LLM CALL METADATA ############## ############ LLM CALL METADATA ##############
############################################# #############################################
metadata = litellm_params.get("metadata", {}) or {}
span.set_attribute(SpanAttributes.METADATA, str(metadata)) if standard_logging_payload and (metadata := standard_logging_payload["metadata"]):
span.set_attribute(SpanAttributes.METADATA, json.dumps(metadata))
############################################# #############################################
########## LLM Request Attributes ########### ########## LLM Request Attributes ###########
@ -62,9 +65,6 @@ def set_attributes(span: Span, kwargs, response_obj):
msg.get("content", ""), msg.get("content", ""),
) )
standard_logging_payload: Optional[StandardLoggingPayload] = kwargs.get(
"standard_logging_object"
)
if standard_logging_payload and (model_params := standard_logging_payload["model_parameters"]): if standard_logging_payload and (model_params := standard_logging_payload["model_parameters"]):
# The Generative AI Provider: Azure, OpenAI, etc. # The Generative AI Provider: Azure, OpenAI, etc.
span.set_attribute( span.set_attribute(

6
tests/local_testing/test_arize_ai.py
View file

@ -1,4 +1,5 @@
import asyncio import asyncio
import json
import logging import logging
from litellm import Choices from litellm import Choices
@ -75,8 +76,7 @@ def test_arize_set_attributes():
"content": "simple arize test", "content": "simple arize test",
"model": "gpt-4o", "model": "gpt-4o",
"messages": [{"role": "user", "content": "basic arize test"}], "messages": [{"role": "user", "content": "basic arize test"}],
"litellm_params": {"metadata": {"key": "value"}}, "standard_logging_object": {"model_parameters": {"user": "test_user"}, "metadata": {"key": "value", "key2": None}},
"standard_logging_object": {"model_parameters": {"user": "test_user"}}
} }
response_obj = ModelResponse(usage={"total_tokens": 100, "completion_tokens": 60, "prompt_tokens": 40}, response_obj = ModelResponse(usage={"total_tokens": 100, "completion_tokens": 60, "prompt_tokens": 40},
choices=[Choices(message={"role": "assistant", "content": "response content"})]) choices=[Choices(message={"role": "assistant", "content": "response content"})])
@ -84,7 +84,7 @@ def test_arize_set_attributes():
ArizeLogger.set_arize_attributes(span, kwargs, response_obj) ArizeLogger.set_arize_attributes(span, kwargs, response_obj)
assert span.set_attribute.call_count == 14 assert span.set_attribute.call_count == 14
span.set_attribute.assert_any_call(SpanAttributes.METADATA, str({"key": "value"})) span.set_attribute.assert_any_call(SpanAttributes.METADATA, json.dumps({"key": "value", "key2": None}))
span.set_attribute.assert_any_call(SpanAttributes.LLM_MODEL_NAME, "gpt-4o") span.set_attribute.assert_any_call(SpanAttributes.LLM_MODEL_NAME, "gpt-4o")
span.set_attribute.assert_any_call(SpanAttributes.OPENINFERENCE_SPAN_KIND, "LLM") span.set_attribute.assert_any_call(SpanAttributes.OPENINFERENCE_SPAN_KIND, "LLM")
span.set_attribute.assert_any_call(SpanAttributes.INPUT_VALUE, "basic arize test") span.set_attribute.assert_any_call(SpanAttributes.INPUT_VALUE, "basic arize test")

4
tests/logging_callback_tests/test_arize_logging.py
View file

@ -19,6 +19,8 @@ def test_arize_callback():
os.environ["ARIZE_API_KEY"] = "test_api_key" os.environ["ARIZE_API_KEY"] = "test_api_key"
os.environ["ARIZE_ENDPOINT"] = "https://otlp.arize.com/v1" os.environ["ARIZE_ENDPOINT"] = "https://otlp.arize.com/v1"
# Set the batch span processor to quickly flush after a span has been added
# This is to ensure that the span is exported before the test ends
os.environ["OTEL_BSP_MAX_QUEUE_SIZE"] = "1" os.environ["OTEL_BSP_MAX_QUEUE_SIZE"] = "1"
os.environ["OTEL_BSP_MAX_EXPORT_BATCH_SIZE"] = "1" os.environ["OTEL_BSP_MAX_EXPORT_BATCH_SIZE"] = "1"
os.environ["OTEL_BSP_SCHEDULE_DELAY_MILLIS"] = "1" os.environ["OTEL_BSP_SCHEDULE_DELAY_MILLIS"] = "1"
@ -36,5 +38,5 @@ def test_arize_callback():
mock_response="hello there!", mock_response="hello there!",
) )
time.sleep(1) time.sleep(1) # Wait for the batch span processor to flush
assert patched_export.called assert patched_export.called