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test(test_rules.py): refactor testing
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1 changed files with 25 additions and 25 deletions
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@ -48,30 +48,30 @@ def test_pre_call_rule():
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# test_pre_call_rule()
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## Test 2: Post-call rule
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def test_post_call_rule():
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try:
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litellm.pre_call_rules = []
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litellm.post_call_rules = [my_post_call_rule]
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### completion
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response = completion(model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "say sorry"}],
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fallbacks=["deepinfra/Gryphe/MythoMax-L2-13b"])
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pytest.fail(f"Completion call should have been failed. ")
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except:
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pass
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print(f"MAKING ACOMPLETION CALL")
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# litellm.set_verbose = True
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### async completion
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async def test_async_response():
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messages=[{"role": "user", "content": "say sorry"}]
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try:
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response = await acompletion(model="gpt-3.5-turbo", messages=messages)
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pytest.fail(f"acompletion call should have been failed.")
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except Exception as e:
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pass
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asyncio.run(test_async_response())
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litellm.pre_call_rules = []
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litellm.post_call_rules = []
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# commenting out of ci/cd since llm's have variable output which was causing our pipeline to fail erratically.
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# def test_post_call_rule():
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# try:
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# litellm.pre_call_rules = []
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# litellm.post_call_rules = [my_post_call_rule]
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# ### completion
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# response = completion(model="gpt-3.5-turbo",
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# messages=[{"role": "user", "content": "say sorry"}],
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# fallbacks=["deepinfra/Gryphe/MythoMax-L2-13b"])
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# pytest.fail(f"Completion call should have been failed. ")
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# except:
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# pass
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# print(f"MAKING ACOMPLETION CALL")
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# # litellm.set_verbose = True
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# ### async completion
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# async def test_async_response():
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# messages=[{"role": "user", "content": "say sorry"}]
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# try:
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# response = await acompletion(model="gpt-3.5-turbo", messages=messages)
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# pytest.fail(f"acompletion call should have been failed.")
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# except Exception as e:
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# pass
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# asyncio.run(test_async_response())
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# litellm.pre_call_rules = []
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# litellm.post_call_rules = []
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# test_post_call_rule()
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