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8de27afa2c
Port the normalized, priority-ordered (static > dynamic > search) profile deduplication into the Python SDKs, injecting one owned memory block per request that replaces the prior block rather than accumulating. Dedup is request-local (no shared state), so it stays correct under concurrency. Covers OpenAI, Agent Framework (middleware + context provider), Cartesia, and Pipecat. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
17 lines
499 B
Python
17 lines
499 B
Python
"""Tests for shared middleware utilities."""
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from supermemory_openai.utils import deduplicate_memories
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def test_deduplicates_normalized_fact_variants() -> None:
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result = deduplicate_memories(
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static=[
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{"memory": "User likes Python"},
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{"memory": " user likes python "},
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],
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dynamic=[{"memory": "[2026-08-10] USER LIKES PYTHON"}],
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search_results=[],
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)
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assert result.static == ["User likes Python"]
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assert result.dynamic == []
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