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https://github.com/tiennm99/litellm.git
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b4a3d372e8
* fix(slack_alerting): skip hanging request alerts below the threshold The hanging request check alerted on any cached request whose completion status was not yet recorded, with no minimum age check. Since the background loop runs every alerting_threshold / 2 seconds, any request that happened to be in flight at a check fired a "hanging - Ns+ request time" alert even if it was only seconds old, producing a steady stream of false positives. Add a created_at timestamp to HangingRequestData, stamped when the request enters the hanging request cache, and skip requests younger than alerting_threshold without evicting them, so a later check can still alert if they never complete. Extend the cache TTL from threshold + 60s to 1.5x threshold + 60s; with the age check, entries only become alertable after threshold seconds, and the check period is threshold / 2, so the old TTL could evict a genuinely hanging request before any check saw it cross the threshold. Fixes #27855. * fix(slack_alerting): alert once per hanging request The min-age gate stops false positives for young in-flight requests, but a genuinely hanging request still re-alerted on every checker tick within the cache TTL. With the wider TTL (1.5x threshold + 60s) that is 1-2 extra Slack notifications per stuck request at the default 600s threshold. Flag a HangingRequestData entry as alerted once its alert fires and skip flagged entries on later ticks, so each hang produces exactly one alert. The cache reference is mutated in place, so the TTL is untouched and still handles cleanup. Adds a regression test asserting one alert across multiple ticks. Fixes #27855.
341 lines
14 KiB
Python
341 lines
14 KiB
Python
import json
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import os
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import sys
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import time
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from typing import Optional
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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# Adds the grandparent directory to sys.path to allow importing project modules
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sys.path.insert(0, os.path.abspath("../.."))
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from litellm.integrations.SlackAlerting.hanging_request_check import (
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AlertingHangingRequestCheck,
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)
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from litellm.types.integrations.slack_alerting import HangingRequestData
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class TestAlertingHangingRequestCheck:
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"""Test suite for AlertingHangingRequestCheck class"""
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@pytest.fixture
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def mock_slack_alerting(self):
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"""Create a mock SlackAlerting object for testing"""
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mock_slack = MagicMock()
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mock_slack.alerting_threshold = 300 # 5 minutes
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mock_slack.send_alert = AsyncMock()
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return mock_slack
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@pytest.fixture
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def hanging_request_checker(self, mock_slack_alerting):
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"""Create an AlertingHangingRequestCheck instance for testing"""
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return AlertingHangingRequestCheck(slack_alerting_object=mock_slack_alerting)
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@pytest.mark.asyncio
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async def test_init_creates_cache_with_correct_ttl(self, mock_slack_alerting):
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"""
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Test that initialization creates a hanging request cache with correct TTL.
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The TTL should be 1.5x alerting_threshold + buffer time, so entries
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survive long enough to be checked after crossing the threshold.
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"""
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checker = AlertingHangingRequestCheck(slack_alerting_object=mock_slack_alerting)
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expected_ttl = int(
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mock_slack_alerting.alerting_threshold * 1.5 + 60
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) # HANGING_ALERT_BUFFER_TIME_SECONDS
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assert checker.hanging_request_cache.default_ttl == expected_ttl
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@pytest.mark.asyncio
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async def test_add_request_to_hanging_request_check_success(
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self, hanging_request_checker
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):
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"""
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Test successfully adding a request to the hanging request cache.
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Should extract metadata and store HangingRequestData in cache.
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"""
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request_data = {
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"litellm_call_id": "test_request_123",
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"model": "gpt-4",
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"deployment": {"litellm_params": {"api_base": "https://api.openai.com/v1"}},
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"metadata": {
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"user_api_key_alias": "test_key",
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"user_api_key_team_alias": "test_team",
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},
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}
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with patch("litellm.get_api_base", return_value="https://api.openai.com/v1"):
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await hanging_request_checker.add_request_to_hanging_request_check(
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request_data
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)
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# Verify the request was added to cache
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cached_data = (
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await hanging_request_checker.hanging_request_cache.async_get_cache(
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key="test_request_123"
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)
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)
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assert cached_data is not None
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assert isinstance(cached_data, HangingRequestData)
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assert cached_data.request_id == "test_request_123"
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assert cached_data.model == "gpt-4"
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assert cached_data.api_base == "https://api.openai.com/v1"
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@pytest.mark.asyncio
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async def test_add_request_to_hanging_request_check_none_request_data(
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self, hanging_request_checker
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):
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"""
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Test that passing None request_data returns early without error.
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Should handle gracefully when no request data is provided.
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"""
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result = await hanging_request_checker.add_request_to_hanging_request_check(
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None
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)
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assert result is None
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@pytest.mark.asyncio
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async def test_add_request_to_hanging_request_check_minimal_data(
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self, hanging_request_checker
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):
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"""
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Test adding request with minimal required data.
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Should handle cases where optional fields are missing.
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"""
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request_data = {
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"litellm_call_id": "minimal_request_456",
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"model": "gpt-3.5-turbo",
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}
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await hanging_request_checker.add_request_to_hanging_request_check(request_data)
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cached_data = (
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await hanging_request_checker.hanging_request_cache.async_get_cache(
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key="minimal_request_456"
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)
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)
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assert cached_data is not None
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assert cached_data.request_id == "minimal_request_456"
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assert cached_data.model == "gpt-3.5-turbo"
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assert cached_data.api_base is None
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assert cached_data.key_alias == ""
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assert cached_data.team_alias == ""
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@pytest.mark.asyncio
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async def test_send_hanging_request_alert(self, hanging_request_checker):
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"""
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Test sending a hanging request alert.
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Should format the alert message correctly and call slack alerting.
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"""
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hanging_request_data = HangingRequestData(
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request_id="test_hanging_request",
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model="gpt-4",
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api_base="https://api.openai.com/v1",
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key_alias="test_key",
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team_alias="test_team",
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)
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await hanging_request_checker.send_hanging_request_alert(hanging_request_data)
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# Verify slack alert was called
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hanging_request_checker.slack_alerting_object.send_alert.assert_called_once()
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# Check the alert message format
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call_args = hanging_request_checker.slack_alerting_object.send_alert.call_args
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message = call_args[1]["message"]
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assert "Requests are hanging - 300s+ request time" in message
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assert "Request Model: `gpt-4`" in message
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assert "API Base: `https://api.openai.com/v1`" in message
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assert "Key Alias: `test_key`" in message
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assert "Team Alias: `test_team`" in message
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assert call_args[1]["level"] == "Medium"
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@pytest.mark.asyncio
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async def test_send_alerts_for_hanging_requests_no_proxy_logging(
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self, hanging_request_checker
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):
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"""
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Test send_alerts_for_hanging_requests when proxy_logging_obj.internal_usage_cache is None.
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Should return early without processing when internal usage cache is unavailable.
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"""
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with patch("litellm.proxy.proxy_server.proxy_logging_obj") as mock_proxy:
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mock_proxy.internal_usage_cache = None
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result = await hanging_request_checker.send_alerts_for_hanging_requests()
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assert result is None
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@pytest.mark.asyncio
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async def test_send_alerts_for_hanging_requests_with_completed_request(
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self, hanging_request_checker
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):
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"""
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Test send_alerts_for_hanging_requests when request has completed (not hanging).
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Should remove completed requests from cache and not send alerts.
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"""
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# Add a request to the hanging cache
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hanging_data = HangingRequestData(
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request_id="completed_request_789",
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model="gpt-4",
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api_base="https://api.openai.com/v1",
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)
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await hanging_request_checker.hanging_request_cache.async_set_cache(
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key="completed_request_789", value=hanging_data, ttl=300
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)
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with patch("litellm.proxy.proxy_server.proxy_logging_obj") as mock_proxy:
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# Mock internal usage cache to return a request status (meaning request completed)
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mock_internal_cache = AsyncMock()
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mock_internal_cache.async_get_cache.return_value = {"status": "success"}
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mock_proxy.internal_usage_cache = mock_internal_cache
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# Mock the cache method to return our test request
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hanging_request_checker.hanging_request_cache.async_get_oldest_n_keys = (
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AsyncMock(return_value=["completed_request_789"])
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)
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await hanging_request_checker.send_alerts_for_hanging_requests()
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# Verify no alert was sent since request completed
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hanging_request_checker.slack_alerting_object.send_alert.assert_not_called()
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@pytest.mark.asyncio
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async def test_send_alerts_for_hanging_requests_with_actual_hanging_request(
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self, hanging_request_checker
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):
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"""
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Test send_alerts_for_hanging_requests when request is actually hanging.
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Should send alert for requests that haven't completed within threshold.
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"""
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# Add a hanging request that is older than the alerting threshold
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hanging_data = HangingRequestData(
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request_id="hanging_request_999",
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model="gpt-4",
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api_base="https://api.openai.com/v1",
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key_alias="test_key",
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team_alias="test_team",
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created_at=time.time() - 301,
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)
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await hanging_request_checker.hanging_request_cache.async_set_cache(
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key="hanging_request_999", value=hanging_data, ttl=300
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)
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with patch("litellm.proxy.proxy_server.proxy_logging_obj") as mock_proxy:
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# Mock internal usage cache to return None (meaning request is still hanging)
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mock_internal_cache = AsyncMock()
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mock_internal_cache.async_get_cache.return_value = None
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mock_proxy.internal_usage_cache = mock_internal_cache
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# Mock the cache method to return our test request
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hanging_request_checker.hanging_request_cache.async_get_oldest_n_keys = (
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AsyncMock(return_value=["hanging_request_999"])
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)
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await hanging_request_checker.send_alerts_for_hanging_requests()
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# Verify alert was sent for hanging request
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hanging_request_checker.slack_alerting_object.send_alert.assert_called_once()
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@pytest.mark.asyncio
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async def test_send_alerts_for_hanging_requests_alerts_once_per_hang(
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self, hanging_request_checker
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):
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"""
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A single hanging request must alert exactly once even though the
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checker tick revisits it on every run within the cache TTL.
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"""
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hanging_data = HangingRequestData(
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request_id="hanging_once_555",
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model="gpt-4",
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api_base="https://api.openai.com/v1",
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created_at=time.time() - 301,
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)
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await hanging_request_checker.hanging_request_cache.async_set_cache(
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key="hanging_once_555", value=hanging_data, ttl=300
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)
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with patch("litellm.proxy.proxy_server.proxy_logging_obj") as mock_proxy:
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mock_internal_cache = AsyncMock()
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mock_internal_cache.async_get_cache.return_value = None
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mock_proxy.internal_usage_cache = mock_internal_cache
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hanging_request_checker.hanging_request_cache.async_get_oldest_n_keys = (
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AsyncMock(return_value=["hanging_once_555"])
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)
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for _ in range(3):
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await hanging_request_checker.send_alerts_for_hanging_requests()
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assert hanging_request_checker.slack_alerting_object.send_alert.call_count == 1
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cached = await hanging_request_checker.hanging_request_cache.async_get_cache(
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key="hanging_once_555"
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)
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assert cached is not None
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assert cached.alerted is True
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@pytest.mark.asyncio
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async def test_send_alerts_for_hanging_requests_skips_request_younger_than_threshold(
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self, hanging_request_checker
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):
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"""
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Test that an in-flight request younger than the alerting threshold
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does not trigger an alert and stays in the cache for later checks.
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"""
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hanging_data = HangingRequestData(
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request_id="young_request_123",
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model="gpt-4",
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api_base="https://api.openai.com/v1",
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)
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await hanging_request_checker.hanging_request_cache.async_set_cache(
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key="young_request_123", value=hanging_data, ttl=300
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)
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with patch("litellm.proxy.proxy_server.proxy_logging_obj") as mock_proxy:
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# Mock internal usage cache to return None (request still in flight)
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mock_internal_cache = AsyncMock()
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mock_internal_cache.async_get_cache.return_value = None
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mock_proxy.internal_usage_cache = mock_internal_cache
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hanging_request_checker.hanging_request_cache.async_get_oldest_n_keys = (
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AsyncMock(return_value=["young_request_123"])
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)
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await hanging_request_checker.send_alerts_for_hanging_requests()
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# No alert for a request below the threshold, and it must remain
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# cached so a later check can alert if it never completes
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hanging_request_checker.slack_alerting_object.send_alert.assert_not_called()
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assert (
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await hanging_request_checker.hanging_request_cache.async_get_cache(
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key="young_request_123"
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)
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is not None
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)
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@pytest.mark.asyncio
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async def test_send_alerts_for_hanging_requests_with_missing_hanging_data(
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self, hanging_request_checker
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):
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"""
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Test send_alerts_for_hanging_requests when hanging request data is missing from cache.
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Should continue processing other requests when individual request data is missing.
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"""
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with patch("litellm.proxy.proxy_server.proxy_logging_obj") as mock_proxy:
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mock_internal_cache = AsyncMock()
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mock_proxy.internal_usage_cache = mock_internal_cache
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# Mock cache to return request ID but no data (simulating expired or missing data)
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hanging_request_checker.hanging_request_cache.async_get_oldest_n_keys = (
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AsyncMock(return_value=["missing_request_111"])
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)
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hanging_request_checker.hanging_request_cache.async_get_cache = AsyncMock(
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return_value=None
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)
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await hanging_request_checker.send_alerts_for_hanging_requests()
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# Should not crash and should not send any alerts
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hanging_request_checker.slack_alerting_object.send_alert.assert_not_called()
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