forked from phoenix/litellm-mirror
d57be47b0f
* ci(config.yml): add a 'check_code_quality' step Addresses https://github.com/BerriAI/litellm/issues/5991 * ci(config.yml): check why circle ci doesn't pick up this test * ci(config.yml): fix to run 'check_code_quality' tests * fix(__init__.py): fix unprotected import * fix(__init__.py): don't remove unused imports * build(ruff.toml): update ruff.toml to ignore unused imports * fix: fix: ruff + pyright - fix linting + type-checking errors * fix: fix linting errors * fix(lago.py): fix module init error * fix: fix linting errors * ci(config.yml): cd into correct dir for checks * fix(proxy_server.py): fix linting error * fix(utils.py): fix bare except causes ruff linting errors * fix: ruff - fix remaining linting errors * fix(clickhouse.py): use standard logging object * fix(__init__.py): fix unprotected import * fix: ruff - fix linting errors * fix: fix linting errors * ci(config.yml): cleanup code qa step (formatting handled in local_testing) * fix(_health_endpoints.py): fix ruff linting errors * ci(config.yml): just use ruff in check_code_quality pipeline for now * build(custom_guardrail.py): include missing file * style(embedding_handler.py): fix ruff check
54 lines
1.5 KiB
Python
54 lines
1.5 KiB
Python
import time, asyncio
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from openai import AsyncOpenAI
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import uuid
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import traceback
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litellm_client = AsyncOpenAI(api_key="test", base_url="http://0.0.0.0:8000")
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async def litellm_completion():
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# Your existing code for litellm_completion goes here
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try:
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print("starting embedding calls")
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response = await litellm_client.embeddings.create(
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model="text-embedding-ada-002",
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input=[
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"hello who are you" * 2000,
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"hello who are you tomorrow 1234" * 1000,
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"hello who are you tomorrow 1234" * 1000,
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],
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)
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print(response)
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return response
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except Exception as e:
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# If there's an exception, log the error message
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with open("error_log.txt", "a") as error_log:
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error_log.write(f"Error during completion: {str(e)}\n")
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pass
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async def main():
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start = time.time()
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n = 100 # Number of concurrent tasks
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tasks = [litellm_completion() for _ in range(n)]
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chat_completions = await asyncio.gather(*tasks)
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successful_completions = [c for c in chat_completions if c is not None]
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# Write errors to error_log.txt
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with open("error_log.txt", "a") as error_log:
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for completion in chat_completions:
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if isinstance(completion, str):
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error_log.write(completion + "\n")
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print(n, time.time() - start, len(successful_completions))
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if __name__ == "__main__":
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# Blank out contents of error_log.txt
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open("error_log.txt", "w").close()
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asyncio.run(main())
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