litellm/tests/router_unit_tests/test_prompt_management_check.py
yuneng-jiang 6a0d03914c
test: drop the cwd-relative sys.path.insert calls from the test suite (#37802)
* 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
2026-08-22 09:25:58 -07:00

67 lines
2.2 KiB
Python

"""
Test for _is_prompt_management_model early exit optimization.
Verifies that the early return for models without "/" doesn't break
prompt management model detection.
"""
from litellm import Router
def test_is_prompt_management_model_optimization():
"""
Test early exit optimization works correctly for all cases.
Optimization: Check if "/" in model name before calling expensive
get_model_list(). This short-circuits 99% of requests that use
standard model names like "gpt-5.5", "claude-3", etc.
Tests both negative (early exit) and positive (actual detection) cases.
"""
import litellm
# Test 1: Standard models without "/" -> early exit returns False
router = Router(
model_list=[
{
"model_name": "gpt-5.5",
"litellm_params": {"model": "gpt-5.5"},
},
{
"model_name": "claude-3",
"litellm_params": {"model": "anthropic/claude-sonnet-4-5-20250929"},
},
]
)
assert router._is_prompt_management_model("gpt-5.5") is False
assert router._is_prompt_management_model("claude-3") is False
# Test 2: Models with "/" but not in model_list -> False after check
assert router._is_prompt_management_model("unknown/model") is False
# Test 3: Actual prompt management models ARE detected (critical positive case)
original_callbacks = litellm._known_custom_logger_compatible_callbacks.copy()
if "langfuse_prompt" not in litellm._known_custom_logger_compatible_callbacks:
litellm._known_custom_logger_compatible_callbacks.append("langfuse_prompt")
try:
router_with_prompt = Router(
model_list=[
{
"model_name": "my-langfuse-prompt/test_id",
"litellm_params": {"model": "langfuse_prompt/actual_prompt_id"},
},
]
)
# Critical: Must still detect prompt management models correctly
assert (
router_with_prompt._is_prompt_management_model("my-langfuse-prompt/test_id")
is True
)
finally:
litellm._known_custom_logger_compatible_callbacks = original_callbacks