test_batch() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_batch() — langchain Function Reference

Dependency Diagram

graph TD
  15bdc3b6_f8b9_453b_654c_36f5711eaa25["test_batch()"]
  f27640dd_3870_5548_d153_f9504ae1021f["test_chat_models.py"]
  15bdc3b6_f8b9_453b_654c_36f5711eaa25 -->|defined in| f27640dd_3870_5548_d153_f9504ae1021f
  style 15bdc3b6_f8b9_453b_654c_36f5711eaa25 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/anthropic/tests/integration_tests/test_chat_models.py lines 236–242

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

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