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test: deflake guardrail mapping leak, tag routing randomness, and liveliness timing
TestStreamingScanDedup restored the reduced module-level translation mapping on teardown via monkeypatch, so under --dist=loadscope the worker that ran only that class carried the reduced mapping into the streaming block test modules. Tag routing tests now assert the eligible deployment set directly instead of sampling ten random picks. The liveliness latency check measures steady-state polls after a warm-up request rather than the first request through a fresh app. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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3 changed files with 33 additions and 43 deletions
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@ -2037,12 +2037,10 @@ class TestStreamingScanDedup:
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guardrail already cleared. Regression for LIT-6692."""
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@pytest.fixture(autouse=True)
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def _use_real_mappings(self, monkeypatch):
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monkeypatch.setattr(
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unified_module,
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"endpoint_guardrail_translation_mappings",
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load_guardrail_translation_mappings(),
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)
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def _use_real_mappings(self):
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unified_module.endpoint_guardrail_translation_mappings = load_guardrail_translation_mappings()
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yield
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unified_module.endpoint_guardrail_translation_mappings = None
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@pytest.mark.asyncio
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async def test_chat_terminal_chunk_on_sampled_index_is_scanned_once(self):
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@ -1,6 +1,7 @@
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import asyncio
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import json
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import time
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from typing import Final
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from datetime import datetime, timedelta
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from types import SimpleNamespace
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from unittest.mock import AsyncMock, MagicMock, patch
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@ -1189,27 +1190,22 @@ def test_health_liveliness_endpoint(proxy_client):
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Test that /health/liveliness endpoint returns 200 OK with "I'm alive!" message.
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This is a critical orchestration endpoint that must be simple and fast.
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"""
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# Measure the time taken for the health check call
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start_time = time.perf_counter()
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warm_up: Final = proxy_client.get("/health/liveliness")
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assert warm_up.status_code == 200, f"Expected 200 OK, got {warm_up.status_code}: {warm_up.text}"
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# Make GET request to /health/liveliness
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response = proxy_client.get("/health/liveliness")
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def _timed_poll() -> tuple[float, httpx.Response]:
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start_time: Final = time.perf_counter()
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response: Final = proxy_client.get("/health/liveliness")
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return (time.perf_counter() - start_time) * 1000, response
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end_time = time.perf_counter()
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duration_ms = (end_time - start_time) * 1000
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polls: Final = tuple(_timed_poll() for _ in range(5))
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# Assert response status
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assert response.status_code == 200, f"Expected 200 OK, got {response.status_code}: {response.text}"
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for _, response in polls:
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assert response.status_code == 200, f"Expected 200 OK, got {response.status_code}: {response.text}"
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assert response.json() == "I'm alive!", f"Expected 'I'm alive!' message, got: {response.json()}"
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# Assert response content (FastAPI JSON-encodes the string)
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assert response.json() == "I'm alive!", f"Expected 'I'm alive!' message, got: {response.json()}"
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# Verify response is fast (should be < 100ms for a simple endpoint)
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# This is critical for orchestration systems that poll frequently
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assert duration_ms < 100, f"Health check took {duration_ms:.2f}ms, expected < 100ms for a simple endpoint"
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# Log the duration for visibility (useful for CI/CD monitoring)
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print(f"\n/health/liveliness response time: {duration_ms:.2f}ms")
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fastest_ms: Final = min(duration_ms for duration_ms, _ in polls)
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assert fastest_ms < 100, f"Fastest of {len(polls)} health checks took {fastest_ms:.2f}ms, expected < 100ms"
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def test_health_liveness_endpoint(proxy_client):
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@ -5,10 +5,22 @@
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import pytest
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import logging
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from typing import Final
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import litellm
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from litellm._logging import verbose_logger
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from litellm.router_strategy.tag_based_routing import get_deployments_for_tag
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async def _eligible_deployment_ids(router: litellm.Router, model: str, tags: list[str]) -> set[str]:
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eligible: Final = await get_deployments_for_tag(
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llm_router_instance=router,
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model=model,
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healthy_deployments=router.get_model_list(model_name=model) or [],
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request_kwargs={"metadata": {"tags": tags}},
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)
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return {deployment["model_info"]["id"] for deployment in eligible}
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@pytest.mark.asyncio()
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@ -850,17 +862,9 @@ async def test_negation_regex_pattern_treated_as_literal():
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# The regex-like string matches no deployment tag literally, so all
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# candidates survive and both model IDs are reachable.
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seen_ids = set()
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for _ in range(10):
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response = await router.acompletion(
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model="gpt-4",
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messages=[{"role": "user", "content": "hi"}],
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metadata={"tags": ["!provider:(anthropic|openai)"]},
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mock_response="hi",
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)
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seen_ids.add(response._hidden_params["model_id"])
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eligible_ids: Final = await _eligible_deployment_ids(router, "gpt-4", ["!provider:(anthropic|openai)"])
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assert seen_ids == {"anthropic-model", "openai-model"}
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assert eligible_ids == {"anthropic-model", "openai-model"}
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@pytest.mark.asyncio()
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@ -1281,17 +1285,9 @@ async def test_chain_enable_tag_filtering_false_overrides_router_level_true():
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enable_tag_filtering=True,
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)
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seen_ids = set()
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for _ in range(10):
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response = await router.acompletion(
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model="gpt-4",
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messages=[{"role": "user", "content": "hi"}],
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metadata={"tags": ["teamA"]},
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mock_response="hi",
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)
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seen_ids.add(response._hidden_params["model_id"])
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eligible_ids: Final = await _eligible_deployment_ids(router, "gpt-4", ["teamA"])
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assert seen_ids == {"team-a-deployment", "team-b-deployment"}
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assert eligible_ids == {"team-a-deployment", "team-b-deployment"}
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@pytest.mark.asyncio()
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