mirror of
https://github.com/BerriAI/litellm.git
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00c596a852
* BaseRequestResponseFetchFromCustomLogger * get_active_base_request_response_fetch_from_custom_logger * get_request_response_payload * ui_view_request_response_for_request_id * fix uiSpendLogDetailsCall * fix get_request_response_payload * ui fix RequestViewer * use 1 class AdditionalLoggingUtils * ui_view_request_response_for_request_id * cache the prefetch logs details * refactor prefetch * test view request/resp logs * fix code quality * fix get_request_response_payload * uninstall posthog prevent it from being added in ci/cd * fix posthog * fix traceloop test * fix linting error
40 lines
1,005 B
Python
40 lines
1,005 B
Python
import os
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import sys
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import time
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import pytest
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from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
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import litellm
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sys.path.insert(0, os.path.abspath("../.."))
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@pytest.fixture()
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@pytest.mark.skip(reason="Traceloop use `otel` integration instead")
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def exporter():
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from traceloop.sdk import Traceloop
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exporter = InMemorySpanExporter()
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Traceloop.init(
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app_name="test_litellm",
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disable_batch=True,
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exporter=exporter,
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)
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litellm.success_callback = ["traceloop"]
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litellm.set_verbose = True
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return exporter
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@pytest.mark.parametrize("model", ["claude-3-5-haiku-20241022", "gpt-3.5-turbo"])
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@pytest.mark.skip(reason="Traceloop use `otel` integration instead")
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def test_traceloop_logging(exporter, model):
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litellm.completion(
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model=model,
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messages=[{"role": "user", "content": "This is a test"}],
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max_tokens=1000,
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temperature=0.7,
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timeout=5,
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mock_response="hi",
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)
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