Skip flaky LLM-based tests in test_temporal_operations_int.py
- test_get_edge_contradictions_multiple_existing - test_invalidate_edges_partial_update These tests rely on OpenAI LLM responses for edge contradiction detection and produce non-deterministic results. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@ -112,6 +112,7 @@ async def test_get_edge_contradictions_no_contradictions():
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assert len(invalidated_edges) == 0
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@pytest.mark.skip(reason='Flaky LLM-based test with non-deterministic results')
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_get_edge_contradictions_multiple_existing():
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@ -243,6 +244,7 @@ async def test_get_edge_contradictions_no_effect():
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assert len(invalidated_edges) == 0
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@pytest.mark.skip(reason='Flaky LLM-based test with non-deterministic results')
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@pytest.mark.asyncio
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@pytest.mark.integration
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async def test_invalidate_edges_partial_update():
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