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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
133 lines
4.2 KiB
Python
133 lines
4.2 KiB
Python
#### What this tests ####
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# This tests setting rules before / after making llm api calls
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import asyncio
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import re
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import time
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import traceback
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import pytest
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import litellm
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from litellm import acompletion, completion
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def my_pre_call_rule(input: str):
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print(f"input: {input}")
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print(f"INSIDE MY PRE CALL RULE, len(input) - {len(input)}")
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if len(input) > 10:
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return False
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return True
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## Test 1: Pre-call rule
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def test_pre_call_rule():
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try:
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litellm.pre_call_rules = [my_pre_call_rule]
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### completion
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response = completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "say something inappropriate"}],
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)
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pytest.fail(f"Completion call should have been failed. ")
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except Exception:
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pass
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### async completion
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async def test_async_response():
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user_message = "Hello, how are you?"
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messages = [{"content": user_message, "role": "user"}]
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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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def my_post_call_rule(input: str):
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input = input.lower()
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print(f"input: {input}")
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print(f"INSIDE MY POST CALL RULE, len(input) - {len(input)}")
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if len(input) < 200:
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return {
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"decision": False,
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"message": "This violates LiteLLM Proxy Rules. Response too short",
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}
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return {"decision": True}
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def my_post_call_rule_2(input: str):
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input = input.lower()
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print(f"input: {input}")
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print(f"INSIDE MY POST CALL RULE, len(input) - {len(input)}")
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if len(input) < 200 and len(input) > 0:
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return {
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"decision": False,
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"message": "This violates LiteLLM Proxy Rules. Response too short",
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}
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return {"decision": True}
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# test_pre_call_rule()
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# Test 2: Post-call rule
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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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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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with pytest.raises(Exception, match=re.escape("This violates LiteLLM Proxy Rules. Response too short")) as exc_info:
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completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "say sorry"}],
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max_tokens=2,
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)
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assert exc_info.value.message == "This violates LiteLLM Proxy Rules. Response too short"
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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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def test_post_call_rule_streaming():
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litellm.pre_call_rules = []
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litellm.post_call_rules = [my_post_call_rule_2]
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### completion
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response = completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "say sorry"}],
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max_tokens=2,
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stream=True,
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)
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with pytest.raises(Exception, match=re.escape("This violates LiteLLM Proxy Rules. Response too short")) as exc_info:
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list(response)
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assert "This violates LiteLLM Proxy Rules. Response too short" in exc_info.value.message
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@pytest.mark.asyncio
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async def test_post_call_processing_error_async_response():
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try:
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response = await acompletion(
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model="command-nightly", # Just used as an example
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messages=[{"content": "Hello, how are you?", "role": "user"}],
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api_base="https://openai-proxy.berriai.repl.co", # Just used as an example
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custom_llm_provider="openai",
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)
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pytest.fail("This call should have failed")
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except Exception as e:
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pass
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