litellm/tests/llm_translation/test_together_ai.py
Yuneng Jiang 95e1babf67
[Fix] TogetherAIConfig.get_supported_openai_params recursion
TogetherAIConfig.get_supported_openai_params called get_model_info(),
whose first line calls litellm.get_supported_openai_params() — which for
together_ai routes straight back into this method. The recursion only
terminated when Python's recursion limit was hit or when
_get_model_info_helper raised "not mapped" at the deepest level. Either
way the try/except caught it, so the bug stayed silent — but the cycle
ran ~332 deep every time, emitting hundreds of DEBUG log lines per
call. Surfaced as "infinite loop" in CI when the success_handler thread
emitted that log spam against an already-closed stderr during test
teardown.

Replace the get_model_info() call with supports_function_calling(),
which uses _get_model_info_helper directly and does not call
get_supported_openai_params. Measured drop from 332 to 2
_get_model_info_helper calls per first uncached lookup.

Also swap the test model from Qwen/Qwen3.5-9B (not in model_cost map)
back to a mapped serverless model, Qwen/Qwen2.5-7B-Instruct-Turbo. The
mapping gap is what made the recursion's tail end raise up into the
success handler during teardown in the first place.
2026-04-16 17:20:58 -07:00

53 lines
1.6 KiB
Python

"""
Test TogetherAI LLM
"""
from base_llm_unit_tests import BaseLLMChatTest
import json
import os
import sys
from datetime import datetime
from unittest.mock import AsyncMock
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import litellm
import pytest
class TestTogetherAI(BaseLLMChatTest):
def get_base_completion_call_args(self) -> dict:
litellm.set_verbose = True
return {"model": "together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo"}
def test_tool_call_no_arguments(self, tool_call_no_arguments):
"""Test that tool calls with no arguments is translated correctly. Relevant issue: https://github.com/BerriAI/litellm/issues/6833"""
pass
@pytest.mark.parametrize(
"model, expected_bool",
[
("meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo", True),
("nvidia/Llama-3.1-Nemotron-70B-Instruct-HF", False),
],
)
def test_get_supported_response_format_together_ai(
self, model: str, expected_bool: bool
) -> None:
os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
litellm.model_cost = litellm.get_model_cost_map(url="")
optional_params = litellm.get_supported_openai_params(
model, custom_llm_provider="together_ai"
)
# Mapped provider
assert isinstance(optional_params, list)
if expected_bool:
assert "response_format" in optional_params
assert "tools" in optional_params
else:
assert "response_format" not in optional_params
assert "tools" not in optional_params