test_abatch() — langchain Function Reference

Architecture documentation for the test_abatch() function in test_chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_abatch() — langchain Function Reference

Dependency Diagram

graph TD
  6136c9f9_4834_6b74_9c4d_c4b1741d5a43["test_abatch()"]
  f27640dd_3870_5548_d153_f9504ae1021f["test_chat_models.py"]
  6136c9f9_4834_6b74_9c4d_c4b1741d5a43 -->|defined in| f27640dd_3870_5548_d153_f9504ae1021f
  style 6136c9f9_4834_6b74_9c4d_c4b1741d5a43 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/anthropic/tests/integration_tests/test_chat_models.py lines 166–172

async def test_abatch() -> None:
    """Test streaming tokens."""
    llm = ChatAnthropic(model_name=MODEL_NAME)  # type: ignore[call-arg, call-arg]

    result = await llm.abatch(["I'm Pickle Rick", "I'm not Pickle Rick"])
    for token in result:
        assert isinstance(token.content, str)