test_output_version_invoke() — langchain Function Reference

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

Function python CoreAbstractions MessageSchema

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CoreAbstractions→ MessageSchema→ test_output_version_invoke() — langchain Function Reference

Dependency Diagram

graph TD
  b8d72b3e_770c_2c40_176f_1c279f6cd222["test_output_version_invoke()"]
  8830054d_ac1e_daa9_c6c5_ff55b10d0bf3["test_base.py"]
  b8d72b3e_770c_2c40_176f_1c279f6cd222 -->|defined in| 8830054d_ac1e_daa9_c6c5_ff55b10d0bf3
  style b8d72b3e_770c_2c40_176f_1c279f6cd222 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/language_models/chat_models/test_base.py lines 879–895

def test_output_version_invoke(monkeypatch: Any) -> None:
    messages = [AIMessage("hello")]

    llm = GenericFakeChatModel(messages=iter(messages), output_version="v1")
    response = llm.invoke("hello")
    assert response.content == [{"type": "text", "text": "hello"}]
    assert response.response_metadata["output_version"] == "v1"

    llm = GenericFakeChatModel(messages=iter(messages))
    response = llm.invoke("hello")
    assert response.content == "hello"

    monkeypatch.setenv("LC_OUTPUT_VERSION", "v1")
    llm = GenericFakeChatModel(messages=iter(messages))
    response = llm.invoke("hello")
    assert response.content == [{"type": "text", "text": "hello"}]
    assert response.response_metadata["output_version"] == "v1"