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* 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
28 lines
739 B
Python
28 lines
739 B
Python
# # This tests the litelm proxy
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# # it makes async Completion requests with streaming
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# import openai
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# openai.base_url = "http://0.0.0.0:8000"
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# openai.api_key = "temp-key"
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# print(openai.base_url)
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# async def test_async_completion():
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# response = await (
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# model="gpt-3.5-turbo",
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# prompt='this is a test request, write a short poem',
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# )
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# print(response)
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# print("test_streaming")
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# response = await openai.chat.completions.create(
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# model="gpt-3.5-turbo",
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# prompt='this is a test request, write a short poem',
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# stream=True
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# )
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# print(response)
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# async for chunk in response:
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# print(chunk)
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# import asyncio
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# asyncio.run(test_async_completion())
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