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6a0d03914c
* test: drop the cwd-relative sys.path.insert calls from the test suite
TQ003 stands at 1,077 across 1,058 files, and 1,015 of them are the same shape:
sys.path.insert(0, os.path.abspath("../..")) and its deeper siblings. The
argument resolves against the working directory rather than the file, so from
the repo root, where every job runs pytest, it inserts the directory two levels
above the checkout. It has never pointed at litellm. The package is installed
into the environment anyway, which is what actually makes the import work, and
what the rule's message has said all along.
Removing them leaves 1,634 imports of sys and os with no remaining reference,
and those go too, except where another test module imports the name back out of
the file. The rest of TQ003 is 62 call sites that resolve against __file__ or a
variable, which are a different question and are left alone.
Collection is identical either way: 45,871 tests and the same 51 pre-existing
collection errors before and after, and ruff reports no new undefined name.
* test: drop the duplicate imports the sys.path sweep exposed to F811
* test(pre-call-utils): restore the os import the new bedrock tests need
114 lines
3.9 KiB
Python
114 lines
3.9 KiB
Python
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import os
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import asyncio
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import litellm
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from litellm._logging import verbose_logger
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import logging
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import time
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import pytest
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def test_langsmith_logging_async():
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try:
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os.environ["LANGSMITH_API_KEY"] = "lsv2_anything"
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os.environ["LANGSMITH_PROJECT"] = "pr-b"
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os.environ["LANGSMITH_BASE_URL"] = (
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"https://exampleopenaiendpoint-production.up.railway.app"
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)
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percentage_diffs = []
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for run in range(3):
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print(f"\nRun {run + 1}:")
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# Test with empty success_callback
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litellm.success_callback = []
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litellm.callbacks = []
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litellm._async_success_callback = []
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litellm._async_failure_callback = []
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litellm.failure_callback = []
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start_time_empty_callback = asyncio.run(make_async_calls())
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print("Done with no callback test")
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# Test with langsmith callback
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print("Starting langsmith test")
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litellm.success_callback = ["langsmith"]
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start_time_langsmith = asyncio.run(make_async_calls())
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print("Done with langsmith test")
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# Compare times and calculate percentage difference
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print(f"Time with success_callback='langsmith': {start_time_langsmith}")
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print(f"Time with empty success_callback: {start_time_empty_callback}")
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percentage_diff = (
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abs(start_time_langsmith - start_time_empty_callback)
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/ start_time_empty_callback
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* 100
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)
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percentage_diffs.append(percentage_diff)
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print(f"Performance difference: {percentage_diff:.2f}%")
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print("percentage_diffs", percentage_diffs)
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# Calculate average percentage difference
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avg_percentage_diff = sum(percentage_diffs) / len(percentage_diffs)
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print(f"\nAverage performance difference: {avg_percentage_diff:.2f}%")
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# Assert that the average difference is not more than 10%
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assert (
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avg_percentage_diff < 10
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), f"Average performance difference of {avg_percentage_diff:.2f}% exceeds 10% threshold"
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except litellm.Timeout as e:
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pass
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except Exception as e:
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pytest.fail(f"An exception occurred - {e}")
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except litellm.Timeout as e:
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pass
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except Exception as e:
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pytest.fail(f"An exception occurred - {e}")
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async def make_async_calls(metadata=None, **completion_kwargs):
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total_tasks = 300
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batch_size = 100
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total_time = 0
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for batch in range(3):
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tasks = [create_async_task() for _ in range(batch_size)]
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start_time = asyncio.get_event_loop().time()
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responses = await asyncio.gather(*tasks)
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for idx, response in enumerate(responses):
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print(f"Response from Task {batch * batch_size + idx + 1}: {response}")
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await asyncio.sleep(1)
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batch_time = asyncio.get_event_loop().time() - start_time
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total_time += batch_time
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return total_time
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def create_async_task(**completion_kwargs):
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"""
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Creates an async task for the litellm.acompletion function.
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This is just the task, but it is not run here.
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To run the task it must be awaited or used in other asyncio coroutine execution functions like asyncio.gather.
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Any kwargs passed to this function will be passed to the litellm.acompletion function.
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By default a standard set of arguments are used for the litellm.acompletion function.
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"""
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completion_args = {
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"model": "openai/chatgpt-v-2",
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"api_version": "2024-02-01",
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"messages": [{"role": "user", "content": "This is a test"}],
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"max_tokens": 5,
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"temperature": 0.7,
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"timeout": 5,
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"user": "langfuse_latency_test_user",
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"mock_response": "hello from my load test",
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}
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completion_args.update(completion_kwargs)
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return asyncio.create_task(litellm.acompletion(**completion_args))
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