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99655b6f86
* test: move key-gated tests/test_litellm SDK tests into tests/llm_translation and drop empty folders * test: make token counter and health check unit tests run offline * ci: point unit shards, rust path filter, Makefile and docs at tests/unit * docs: fix stale test_litellm run paths in moved llm_translation tests * fix: correct databricks e2e sys.path depth and contributing example path --------- Co-authored-by: yuneng <yuneng@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
"""
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Unit tests for litellm.compress().
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"""
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import os
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import pytest
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import litellm
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from litellm.types.utils import CallTypes
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CALL_TYPE = CallTypes.completion
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# ---------------------------------------------------------------------------
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# BM25 scorer
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# ---------------------------------------------------------------------------
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# ---------------------------------------------------------------------------
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# Content detection
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# ---------------------------------------------------------------------------
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# ---------------------------------------------------------------------------
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# Message stubbing
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# ---------------------------------------------------------------------------
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# ---------------------------------------------------------------------------
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# Retrieval tool
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# ---------------------------------------------------------------------------
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# ---------------------------------------------------------------------------
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# compress() — end-to-end
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# ---------------------------------------------------------------------------
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# ---------------------------------------------------------------------------
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# Embedding scorer — integration test (skipped without API key)
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# ---------------------------------------------------------------------------
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@pytest.mark.skipif(not os.environ.get("OPENAI_API_KEY"), reason="Needs OPENAI_API_KEY")
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def test_embedding_scorer():
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result = litellm.compress(
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messages=[
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{"role": "user", "content": "Authentication code " * 2000},
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{"role": "user", "content": "Unrelated cooking recipes " * 2000},
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{"role": "user", "content": "Fix auth"},
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],
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model="gpt-4o",
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call_type=CALL_TYPE,
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compression_trigger=1000,
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embedding_model="text-embedding-3-small",
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)
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assert result["compression_ratio"] > 0
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assert len(result["cache"]) > 0
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