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https://github.com/BerriAI/litellm.git
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26971a8f1f
* feat(alerts): add persisted alerts and status APIs * fix(alerts): preserve string IDs and complete backend wiring * feat(alerts): support whole-gateway alert scope
68 lines
2.8 KiB
Python
68 lines
2.8 KiB
Python
from collections.abc import Mapping
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from datetime import timedelta, timezone
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from typing import Final
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import pytest
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from pydantic import ValidationError
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from litellm.models.alert import AlertDetection
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DETECTION: Final = {
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"type": "spend",
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"resource_type": "team",
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"resource_id": "example-team",
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"window_start": "2026-01-08T00:00:00Z",
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"window_end": "2026-01-09T00:00:00Z",
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"evidence": {"value": 20, "baseline": 2, "unit": "usd", "sample_size": 50},
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}
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@pytest.mark.parametrize(
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"change",
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(
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{"resource_id": "x" * 1025},
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{"resource_id": ""},
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{"resource_type": "key", "resource_id": "sk-example-not-a-real-key"},
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{"resource_type": "gateway", "resource_id": "another-gateway"},
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{
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"resource_type": "gateway",
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"resource_id": "gateway",
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"type": "model_deprecation",
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"evidence": {"deprecation_date": "2026-02-01"},
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},
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{"window_start": "2026-01-08T00:00:00"},
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{"window_start": "2026-01-08T00:00:00.123456Z", "window_end": "2026-01-08T00:00:00.123457Z"},
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{"window_end": "2026-01-08T00:00:00Z"},
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{"window_end": "2026-01-07T00:00:00Z"},
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{"type": "custom"},
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{"type": "latency"},
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{"type": "model_deprecation"},
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{"evidence": {"value": float("inf"), "baseline": 2, "unit": "usd", "sample_size": 1}},
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{"evidence": {"value": 2, "baseline": float("nan"), "unit": "usd", "sample_size": 1}},
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{"evidence": {"value": -1, "baseline": 2, "unit": "usd", "sample_size": 1}},
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{"evidence": {"value": 2, "baseline": 2, "unit": "usd", "sample_size": -1}},
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{"evidence": {"value": 2, "baseline": 2, "unit": "usd", "sample_size": 1, "unbounded": "extra"}},
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{"type": "reliability", "evidence": {"value": 1.1, "baseline": 0, "unit": "ratio", "sample_size": 1}},
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{"type": "reliability", "evidence": {"value": 0, "baseline": 1.1, "unit": "ratio", "sample_size": 1}},
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{
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"resource_type": "model",
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"type": "model_deprecation",
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"evidence": {"deprecation_date": "2026-02-01", "replacement_model": "x" * 1025},
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},
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),
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)
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def test_invalid_or_unbounded_detection_is_rejected(change: Mapping[str, object]) -> None:
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with pytest.raises(ValidationError):
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AlertDetection.model_validate({**DETECTION, **change})
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def test_identity_uses_instants_not_timezone_or_evidence() -> None:
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original: Final = AlertDetection.model_validate(DETECTION)
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revised: Final = original.model_copy(
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update={
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"window_start": original.window_start.astimezone(timezone(timedelta(hours=8))),
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"window_end": original.window_end.astimezone(timezone(timedelta(hours=8))),
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"evidence": original.evidence.model_copy(update={"value": 30}),
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}
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)
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assert original.identity() == revised.identity()
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