test_embed_with_kwargs() — langchain Function Reference

Architecture documentation for the test_embed_with_kwargs() function in test_base.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_embed_with_kwargs() — langchain Function Reference

Dependency Diagram

graph TD
  5769eccd_6dd3_6715_1afe_03db614c30ac["test_embed_with_kwargs()"]
  1b2604cc_dec7_a9eb_ce6b_1cbab7a6dc2e["test_base.py"]
  5769eccd_6dd3_6715_1afe_03db614c30ac -->|defined in| 1b2604cc_dec7_a9eb_ce6b_1cbab7a6dc2e
  style 5769eccd_6dd3_6715_1afe_03db614c30ac fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/unit_tests/embeddings/test_base.py lines 64–79

def test_embed_with_kwargs() -> None:
    embeddings = OpenAIEmbeddings(
        model="text-embedding-3-small", check_embedding_ctx_length=False
    )
    texts = ["text1", "text2"]
    with patch.object(embeddings.client, "create") as mock_create:
        mock_create.side_effect = [
            {"data": [{"embedding": [0.1, 0.2, 0.3]}, {"embedding": [0.4, 0.5, 0.6]}]}
        ]

        result = embeddings.embed_documents(texts, dimensions=3)
        mock_create.assert_any_call(
            input=texts, dimensions=3, **embeddings._invocation_params
        )

    assert result == [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]]