mirror of
https://github.com/BerriAI/litellm.git
synced 2026-09-06 08:16:43 +00:00
* 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
36 lines
916 B
Python
36 lines
916 B
Python
"""
|
|
Test for google_endpoints/endpoints.py
|
|
"""
|
|
|
|
import pytest
|
|
import sys, os
|
|
from dotenv import load_dotenv
|
|
|
|
|
|
from litellm.proxy.google_endpoints.endpoints import google_count_tokens
|
|
from litellm.types.llms.vertex_ai import TokenCountDetailsResponse
|
|
from starlette.requests import Request
|
|
|
|
load_dotenv()
|
|
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_proxy_gemini_to_openai_like_model_token_counting():
|
|
"""
|
|
Test the token counting endpoint for proxing gemini to openai-like models.
|
|
"""
|
|
response: TokenCountDetailsResponse = await google_count_tokens(
|
|
request=Request(
|
|
scope={
|
|
"type": "http",
|
|
"parsed_body": (
|
|
["contents"],
|
|
{"contents": [{"parts": [{"text": "Hello, how are you?"}]}]},
|
|
),
|
|
}
|
|
),
|
|
model_name="volcengine/foo",
|
|
)
|
|
|
|
assert response.get("totalTokens") > 0
|