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
  fa0dc436_e8a1_440d_d0fb_739a18a90c01["test_abatch()"]
  af57ae60_607e_c138_9ab0_fb8bb1c5916a["test_chat_models.py"]
  fa0dc436_e8a1_440d_d0fb_739a18a90c01 -->|defined in| af57ae60_607e_c138_9ab0_fb8bb1c5916a
  style fa0dc436_e8a1_440d_d0fb_739a18a90c01 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/groq/tests/integration_tests/test_chat_models.py lines 80–87

async def test_abatch() -> None:
    """Test abatch tokens from ChatGroq."""
    chat = ChatGroq(model=DEFAULT_MODEL_NAME, max_tokens=10)

    result = await chat.abatch(["Hello!", "Welcome to the Groqetship!"])
    for token in result:
        assert isinstance(token, BaseMessage)
        assert isinstance(token.content, str)