forked from phoenix/litellm-mirror
Merge pull request #5646 from BerriAI/litellm_add_load_testing_logging
[Feat] Add Load Testing for Langsmith, and OTEL logging
This commit is contained in:
commit
9d2b09099f
3 changed files with 250 additions and 1 deletions
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@ -149,6 +149,33 @@ jobs:
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# Store test results
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- store_test_results:
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path: test-results
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load_testing:
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docker:
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- image: cimg/python:3.11
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working_directory: ~/project
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steps:
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- checkout
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- run:
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name: Install Dependencies
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command: |
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python -m pip install --upgrade pip
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python -m pip install -r requirements.txt
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pip install "pytest==7.3.1"
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pip install "pytest-retry==1.6.3"
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pip install "pytest-asyncio==0.21.1"
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# Run pytest and generate JUnit XML report
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- run:
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name: Run tests
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command: |
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pwd
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ls
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python -m pytest -vv tests/load_tests -x -s -v --junitxml=test-results/junit.xml --durations=5
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no_output_timeout: 120m
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# Store test results
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- store_test_results:
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path: test-results
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installing_litellm_on_python:
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docker:
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@ -289,7 +316,7 @@ jobs:
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command: |
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pwd
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ls
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python -m pytest -s -vv tests/ -x --junitxml=test-results/junit.xml --durations=5 --ignore=tests/otel_tests --ignore=tests/pass_through_tests --ignore=tests/proxy_admin_ui_tests
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python -m pytest -s -vv tests/ -x --junitxml=test-results/junit.xml --durations=5 --ignore=tests/otel_tests --ignore=tests/pass_through_tests --ignore=tests/proxy_admin_ui_tests --ignore=tests/load_tests
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no_output_timeout: 120m
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# Store test results
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@ -607,10 +634,17 @@ workflows:
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only:
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- main
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- /litellm_.*/
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- load_testing:
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filters:
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branches:
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only:
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- main
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- /litellm_.*/
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- publish_to_pypi:
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requires:
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- local_testing
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- build_and_test
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- load_testing
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- proxy_log_to_otel_tests
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- proxy_pass_through_endpoint_tests
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filters:
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116
tests/load_tests/test_langsmith_load_test.py
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116
tests/load_tests/test_langsmith_load_test.py
Normal file
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@ -0,0 +1,116 @@
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import sys
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import os
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sys.path.insert(0, os.path.abspath("../.."))
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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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99
tests/load_tests/test_otel_load_test.py
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99
tests/load_tests/test_otel_load_test.py
Normal file
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import sys
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import os
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sys.path.insert(0, os.path.abspath("../.."))
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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_otel_logging_async():
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try:
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os.environ["OTEL_EXPORTER"] = "otlp_http"
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os.environ["OTEL_ENDPOINT"] = (
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"https://exampleopenaiendpoint-production.up.railway.app/traces"
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)
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os.environ["OTEL_HEADERS"] = "Authorization=K0BSwd"
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def single_run():
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litellm.callbacks = []
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start_time_empty = asyncio.run(make_async_calls())
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print(f"Time with empty callback: {start_time_empty}")
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litellm.callbacks = ["otel"]
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start_time_otel = asyncio.run(make_async_calls())
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print(f"Time with otel callback: {start_time_otel}")
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percent_diff = (
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abs(start_time_otel - start_time_empty) / start_time_empty * 100
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)
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print(f"Run performance difference: {percent_diff:.2f}%")
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return percent_diff
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percent_diffs = [single_run() for _ in range(3)]
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avg_percent_diff = sum(percent_diffs) / len(percent_diffs)
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print(f"Percentage differences: {percent_diffs}")
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print(f"Average performance difference: {avg_percent_diff:.2f}%")
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assert (
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avg_percent_diff < 10
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), f"Average performance difference of {avg_percent_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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async def make_async_calls(metadata=None, **completion_kwargs):
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total_start_time = asyncio.get_event_loop().time()
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tasks = []
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async def create_and_run_task():
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task = create_async_task(**completion_kwargs)
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response = await task
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print(f"Response: {response}")
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for _ in range(3): # Run for 10 seconds
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# Create 100 tasks
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tasks = []
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for _ in range(100):
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tasks.append(asyncio.create_task(create_and_run_task()))
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# Wait for any remaining tasks to complete
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await asyncio.gather(*tasks)
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await asyncio.sleep(1)
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# Calculate the total time taken
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total_time = asyncio.get_event_loop().time() - total_start_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" * 100}],
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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": "Mock response",
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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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