test_configurable_fields_prefix_keys() — langchain Function Reference

Architecture documentation for the test_configurable_fields_prefix_keys() function in test_runnable.py from the langchain codebase.

Function python LangChainCore Runnables

Entity Profile

LangChainCore→ Runnables→ test_configurable_fields_prefix_keys() — langchain Function Reference

Dependency Diagram

graph TD
  ddf86e40_c2c3_b694_4853_414f24cfc41c["test_configurable_fields_prefix_keys()"]
  26df6ad8_0189_51d0_c3c1_6c3248893ff5["test_runnable.py"]
  ddf86e40_c2c3_b694_4853_414f24cfc41c -->|defined in| 26df6ad8_0189_51d0_c3c1_6c3248893ff5
  style ddf86e40_c2c3_b694_4853_414f24cfc41c fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/runnables/test_runnable.py lines 883–934

def test_configurable_fields_prefix_keys(snapshot: SnapshotAssertion) -> None:
    fake_chat = FakeListChatModel(responses=["b"]).configurable_fields(
        responses=ConfigurableFieldMultiOption(
            id="responses",
            name="Chat Responses",
            options={
                "hello": "A good morning to you!",
                "bye": "See you later!",
                "helpful": "How can I help you?",
            },
            default=["hello", "bye"],
        ),
        # (sleep is a configurable field in FakeListChatModel)
        sleep=ConfigurableField(
            id="chat_sleep",
            is_shared=True,
        ),
    )
    fake_llm = (
        FakeListLLM(responses=["a"])
        .configurable_fields(
            responses=ConfigurableField(
                id="responses",
                name="LLM Responses",
                description="A list of fake responses for this LLM",
            )
        )
        .configurable_alternatives(
            ConfigurableField(id="llm", name="LLM"),
            chat=fake_chat | StrOutputParser(),
            prefix_keys=True,
        )
    )
    prompt = PromptTemplate.from_template("Hello, {name}!").configurable_fields(
        template=ConfigurableFieldSingleOption(
            id="prompt_template",
            name="Prompt Template",
            description="The prompt template for this chain",
            options={
                "hello": "Hello, {name}!",
                "good_morning": "A very good morning to you, {name}!",
            },
            default="hello",
        )
    )

    chain = prompt | fake_llm

    if PYDANTIC_VERSION_AT_LEAST_29:
        assert _normalize_schema(_schema(chain.config_schema())) == snapshot(
            name="schema6"
        )