test_openai_abatch_tags() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_openai_abatch_tags() — langchain Function Reference

Dependency Diagram

graph TD
  deb778e0_a6df_c4a2_3c06_bfd1df146063["test_openai_abatch_tags()"]
  bd382a4e_442c_13ae_530c_6e34bc43623d["test_base.py"]
  deb778e0_a6df_c4a2_3c06_bfd1df146063 -->|defined in| bd382a4e_442c_13ae_530c_6e34bc43623d
  style deb778e0_a6df_c4a2_3c06_bfd1df146063 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/integration_tests/chat_models/test_base.py lines 222–230

async def test_openai_abatch_tags(use_responses_api: bool) -> None:
    """Test batch tokens from ChatOpenAI."""
    llm = ChatOpenAI(max_tokens=MAX_TOKEN_COUNT, use_responses_api=use_responses_api)  # type: ignore[call-arg]

    result = await llm.abatch(
        ["I'm Pickle Rick", "I'm not Pickle Rick"], config={"tags": ["foo"]}
    )
    for token in result:
        assert isinstance(token.text, str)