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headroomlabs-ai--headroom/tests/test_proxy_openai_cache_key_integration.py
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chore: import upstream snapshot with attribution
2026-07-13 12:03:29 +08:00

117 lines
4.2 KiB
Python

"""Integration RBP for the OpenAI handler's SemanticCache key threading.
Companion to ``test_proxy_semantic_cache_key_integration.py`` (Anthropic). Drives
the real ``/v1/chat/completions`` handler with the cache enabled and a stubbed
upstream, proving the OpenAI handler actually threads each newly-added
response-shaping field into the cache get/set calls: two requests with identical
``messages`` but a different ``response_format`` / ``tool_choice`` / ``seed`` must
NOT collide, while a repeat of the first IS served from cache.
A cache-key unit test cannot catch this — it exercises ``_compute_key`` directly.
The failure mode this guards is the handler's ``cache_key_fields`` snapshot
omitting a ``body.get(...)`` for a field: ``_compute_key`` would distinguish the
field fine, but the handler never passes it. Before the OpenAI snapshot widening
a request differing only in ``response_format`` collided and was served the
first request's response.
"""
from __future__ import annotations
import httpx
import pytest
pytest.importorskip("fastapi")
from fastapi.testclient import TestClient
from headroom.proxy.server import ProxyConfig, create_app
def _make_cached_proxy_client() -> TestClient:
config = ProxyConfig(
optimize=False,
cache_enabled=True,
rate_limit_enabled=False,
cost_tracking_enabled=False,
log_requests=False,
ccr_inject_tool=False,
ccr_handle_responses=False,
ccr_context_tracking=False,
image_optimize=False,
)
return TestClient(create_app(config))
def _body(**extra: object) -> dict:
body: dict = {
"model": "gpt-4o-mini",
"max_tokens": 64,
"messages": [{"role": "user", "content": "Say hi."}],
"stream": False,
}
body.update(extra)
return body
def _content(response: httpx.Response) -> str:
return response.json()["choices"][0]["message"]["content"]
@pytest.mark.parametrize(
"field,a,b",
[
("response_format", {"type": "json_object"}, {"type": "text"}),
("tool_choice", "auto", "none"),
("seed", 1, 2),
("reasoning_effort", "low", "high"),
],
)
def test_openai_differing_field_not_served_from_cache(field, a, b) -> None:
"""A and B share messages and differ only in ``field``; B must not be served
A's cached response, and a repeat of A must hit the cache."""
calls = {"n": 0}
with _make_cached_proxy_client() as client:
proxy = client.app.state.proxy
async def _fake_retry(method, url, headers, body, stream=False, **kwargs): # noqa: ANN001
calls["n"] += 1
return httpx.Response(
200,
json={
"id": "chatcmpl_1",
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": f"resp-{calls['n']}"},
"finish_reason": "stop",
}
],
"usage": {"prompt_tokens": 10, "completion_tokens": 3, "total_tokens": 13},
},
)
proxy._retry_request = _fake_retry
headers = {"authorization": "Bearer test-key"}
# A: field=a -> upstream call 1, cached under A's key.
ra = client.post("/v1/chat/completions", headers=headers, json=_body(**{field: a}))
assert ra.status_code == 200
assert _content(ra) == "resp-1"
assert calls["n"] == 1
# B: field=b, SAME messages -> must reach the upstream again, not be
# served A's cached response. With the field missing from the key, B
# collided with A and calls stayed 1 (the bug this guards).
rb = client.post("/v1/chat/completions", headers=headers, json=_body(**{field: b}))
assert rb.status_code == 200
assert _content(rb) == "resp-2"
assert calls["n"] == 2
# A again -> served from cache, upstream NOT called.
ra2 = client.post("/v1/chat/completions", headers=headers, json=_body(**{field: a}))
assert ra2.status_code == 200
assert _content(ra2) == "resp-1"
assert calls["n"] == 2