langchain/libs/partners/openai/tests/unit_tests/test_load.py

from langchain_core.load import dumpd, dumps, load, loads
from langchain_core.prompts.chat import ChatPromptTemplate, HumanMessagePromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
from langchain_core.runnables import RunnableSequence

from langchain_openai import ChatOpenAI, OpenAI


def test_loads_openai_llm() -> None:
    llm = OpenAI(model="davinci", temperature=0.5, openai_api_key="hello", top_p=0.8)  # type: ignore[call-arg]
    llm_string = dumps(llm)
    llm2 = loads(
        llm_string,
        secrets_map={"OPENAI_API_KEY": "hello"},
        allowed_objects=[OpenAI],
    )

    assert llm2.dict() == llm.dict()
    llm_string_2 = dumps(llm2)
    assert llm_string_2 == llm_string
    assert isinstance(llm2, OpenAI)


def test_load_openai_llm() -> None:
    llm = OpenAI(model="davinci", temperature=0.5, openai_api_key="hello")  # type: ignore[call-arg]
    llm_obj = dumpd(llm)
    llm2 = load(
        llm_obj,
        secrets_map={"OPENAI_API_KEY": "hello"},
        allowed_objects=[OpenAI],
    )

    assert llm2.dict() == llm.dict()
    assert dumpd(llm2) == llm_obj
    assert isinstance(llm2, OpenAI)


def test_loads_openai_chat() -> None:
    llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0.5, openai_api_key="hello")  # type: ignore[call-arg]
    llm_string = dumps(llm)
    llm2 = loads(
        llm_string,
        secrets_map={"OPENAI_API_KEY": "hello"},
        allowed_objects=[ChatOpenAI],
    )

    assert llm2.dict() == llm.dict()
    llm_string_2 = dumps(llm2)
    assert llm_string_2 == llm_string
    assert isinstance(llm2, ChatOpenAI)


def test_load_openai_chat() -> None:
    llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0.5, openai_api_key="hello")  # type: ignore[call-arg]
    llm_obj = dumpd(llm)
    llm2 = load(
        llm_obj,
        secrets_map={"OPENAI_API_KEY": "hello"},
        allowed_objects=[ChatOpenAI],
    )

    assert llm2.dict() == llm.dict()
    assert dumpd(llm2) == llm_obj
    assert isinstance(llm2, ChatOpenAI)


def test_loads_runnable_sequence_prompt_model() -> None:
    """Test serialization/deserialization of a chain:

    `prompt | model (RunnableSequence)`
    """
    prompt = ChatPromptTemplate.from_messages([("user", "Hello, {name}!")])
    model = ChatOpenAI(model="gpt-4o-mini", temperature=0.5, openai_api_key="hello")  # type: ignore[call-arg]
    chain = prompt | model

    # Verify the chain is a RunnableSequence
    assert isinstance(chain, RunnableSequence)

    # Serialize
    chain_string = dumps(chain)

    # Deserialize
    # (ChatPromptTemplate contains HumanMessagePromptTemplate and PromptTemplate)
    chain2 = loads(
        chain_string,
        secrets_map={"OPENAI_API_KEY": "hello"},
        allowed_objects=[
            RunnableSequence,
            ChatPromptTemplate,
            HumanMessagePromptTemplate,
            PromptTemplate,
            ChatOpenAI,
        ],
    )

    # Verify structure
    assert isinstance(chain2, RunnableSequence)
    assert isinstance(chain2.first, ChatPromptTemplate)
    assert isinstance(chain2.last, ChatOpenAI)

    # Verify round-trip serialization
    assert dumps(chain2) == chain_string


def test_load_runnable_sequence_prompt_model() -> None:
    """Test load() with a chain:

    `prompt | model (RunnableSequence)`.
    """
    prompt = ChatPromptTemplate.from_messages([("user", "Tell me about {topic}")])
    model = ChatOpenAI(model="gpt-4o-mini", temperature=0.7, openai_api_key="hello")  # type: ignore[call-arg]
    chain = prompt | model

    # Serialize
    chain_obj = dumpd(chain)

    # Deserialize
    # (ChatPromptTemplate contains HumanMessagePromptTemplate and PromptTemplate)
    chain2 = load(
        chain_obj,
        secrets_map={"OPENAI_API_KEY": "hello"},
        allowed_objects=[
            RunnableSequence,
            ChatPromptTemplate,
            HumanMessagePromptTemplate,
            PromptTemplate,
            ChatOpenAI,
        ],
    )

    # Verify structure
    assert isinstance(chain2, RunnableSequence)
    assert isinstance(chain2.first, ChatPromptTemplate)
    assert isinstance(chain2.last, ChatOpenAI)

    # Verify round-trip serialization
    assert dumpd(chain2) == chain_obj