test_fireworks_model_params() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_fireworks_model_params() — langchain Function Reference

Dependency Diagram

graph TD
  af655d7c_8e3c_5e81_01b7_2a316cd19825["test_fireworks_model_params()"]
  9a53709e_8202_5be7_e42c_f8989b683717["test_llms.py"]
  af655d7c_8e3c_5e81_01b7_2a316cd19825 -->|defined in| 9a53709e_8202_5be7_e42c_f8989b683717
  style af655d7c_8e3c_5e81_01b7_2a316cd19825 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/fireworks/tests/unit_tests/test_llms.py lines 74–99

def test_fireworks_model_params() -> None:
    # Test standard tracing params
    llm = Fireworks(model="foo", api_key="secret-api-key")  # type: ignore[arg-type]

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

    llm = Fireworks(
        model="foo",
        api_key="secret-api-key",  # type: ignore[arg-type]
        max_tokens=10,
        temperature=0.1,
    )

    ls_params = llm._get_ls_params()
    assert ls_params == {
        "ls_provider": "fireworks",
        "ls_model_type": "llm",
        "ls_model_name": "foo",
        "ls_max_tokens": 10,
        "ls_temperature": 0.1,
    }