langchain/libs/standard-tests

langchain-tests

This is a testing library for LangChain integrations. It contains the base classes for a standard set of tests.

Installation

We encourage pinning your version to a specific version in order to avoid breaking your CI when we publish new tests. We recommend upgrading to the latest version periodically to make sure you have the latest tests.

Not pinning your version will ensure you always have the latest tests, but it may also break your CI if we introduce tests that your integration doesn't pass.

Pip:

pip install -U langchain-tests

Poetry:

poetry add langchain-tests

uv:

uv add langchain-tests

Usage

To add standard tests to an integration package (e.g., for a ChatModel), you need to create

1. A unit test class that inherits from ChatModelUnitTests
2. An integration test class that inherits from ChatModelIntegrationTests

tests/unit_tests/test_standard.py:

"""Standard LangChain interface tests"""

from typing import Type

import pytest
from langchain_core.language_models import BaseChatModel
from langchain_tests.unit_tests import ChatModelUnitTests

from langchain_parrot_chain import ChatParrotChain


class TestParrotChainStandard(ChatModelUnitTests):
    @pytest.fixture
    def chat_model_class(self) -> Type[BaseChatModel]:
        return ChatParrotChain

tests/integration_tests/test_standard.py:

"""Standard LangChain interface tests"""

from typing import Type

import pytest
from langchain_core.language_models import BaseChatModel
from langchain_tests.integration_tests import ChatModelIntegrationTests

from langchain_parrot_chain import ChatParrotChain


class TestParrotChainStandard(ChatModelIntegrationTests):
    @pytest.fixture
    def chat_model_class(self) -> Type[BaseChatModel]:
        return ChatParrotChain

Reference

The following fixtures are configurable in the test classes. Anything not marked as required is optional.

• chat_model_class (required): The class of the chat model to be tested
• chat_model_params: The keyword arguments to pass to the chat model constructor
• chat_model_has_tool_calling: Whether the chat model can call tools. By default, this is set to hasattr(chat_model_class, 'bind_tools)
• chat_model_has_structured_output: Whether the chat model can structured output. By default, this is set to hasattr(chat_model_class, 'with_structured_output')

Content Blocks V1 Support

For chat models that support the new content blocks v1 format (multimodal content, reasoning blocks, citations, etc.), use the v1 test suite instead:

• See QUICK_START.md and README_V1.md for v1 testing documentation
• Use ChatModelV1Tests from langchain_tests.unit_tests.chat_models_v1