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test(azure_ai): drop docstrings from the Foundry bridge tests

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mateo-berri 2026-09-19 16:46:27 -07:00
parent d7b1318e55
commit 2bb603ab4c
1 changed files with 0 additions and 17 deletions
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17
tests/test_litellm/test_main.py
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@ -1321,13 +1321,6 @@ _FOUNDRY_FUNCTION_TOOL: Final = ({"type": "function", "function": {"name": "get_
],
)
def test_responses_api_bridge_check_azure_ai_foundry_gpt_5_4_plus_tools_routes_to_responses(api_base, reasoning_effort):
"""
An azure_ai deployment of a gpt-5.4+ model on a Foundry OpenAI v1 host is the same Azure OpenAI
backend the azure provider bridges: its chat surface rejects function tools whenever reasoning is
on, and for gpt-6-astra it rejects reasoning_effort "none" too, so the Responses route on the same
endpoint is the only way to serve the request. Regression guard: the gate used to bridge only the
openai and azure providers, so these requests died at Foundry's /models/chat/completions.
"""
from litellm.main import responses_api_bridge_check
model_info, model = responses_api_bridge_check(
@ -1354,11 +1347,6 @@ def test_responses_api_bridge_check_azure_ai_foundry_gpt_5_4_plus_tools_routes_t
def test_responses_api_bridge_check_azure_ai_without_foundry_responses_route_stays_chat(
model_name, api_base, reasoning_effort
):
"""
The azure_ai bridge fires only where the Foundry Responses config is selectable: a serverless
host, a non-OpenAI model, and claude-on-Foundry have no Responses route to bridge to, and an
explicit reasoning_effort "none" keeps the request chat-servable on the same terms as azure.
"""
from litellm.main import responses_api_bridge_check
model_info, model = responses_api_bridge_check(
@ -1595,11 +1583,6 @@ _FOUNDRY_RESPONSES_FUNCTION_CALL_BODY: Final = {
def test_completion_bridges_azure_ai_foundry_gpt_5_4_plus_function_tools_to_responses(
respx_mock: respx.MockRouter, monkeypatch: pytest.MonkeyPatch
):
"""
The bridged azure_ai call is posted to <base>/openai/v1/responses with the tool in Responses
shape and Foundry's api-key header, never to <base>/models/chat/completions, and comes back as a
chat completion carrying the function call.
"""
monkeypatch.setattr(litellm, "disable_aiohttp_transport", True)
responses_route: Final = respx_mock.post(f"{_FOUNDRY_API_BASE}/openai/v1/responses").respond(
json=_FOUNDRY_RESPONSES_FUNCTION_CALL_BODY