test_anthropic_model_params() — langchain Function Reference

Architecture documentation for the test_anthropic_model_params() function in test_llms.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_anthropic_model_params() — langchain Function Reference

Dependency Diagram

graph TD
  18591ab9_1f1e_d70a_646e_48acb5f3edf8["test_anthropic_model_params()"]
  a04a3899_3148_06be_27cb_f513a509c515["test_llms.py"]
  18591ab9_1f1e_d70a_646e_48acb5f3edf8 -->|defined in| a04a3899_3148_06be_27cb_f513a509c515
  style 18591ab9_1f1e_d70a_646e_48acb5f3edf8 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/anthropic/tests/unit_tests/test_llms.py lines 8–29

def test_anthropic_model_params() -> None:
    # Test standard tracing params
    llm = AnthropicLLM(model="foo")  # type: ignore[call-arg]

    ls_params = llm._get_ls_params()
    assert ls_params == {
        "ls_provider": "anthropic",
        "ls_model_type": "llm",
        "ls_model_name": "foo",
        "ls_max_tokens": 1024,
    }

    llm = AnthropicLLM(model="foo", temperature=0.1)  # type: ignore[call-arg]

    ls_params = llm._get_ls_params()
    assert ls_params == {
        "ls_provider": "anthropic",
        "ls_model_type": "llm",
        "ls_model_name": "foo",
        "ls_max_tokens": 1024,
        "ls_temperature": 0.1,
    }