langchain/libs/standard-tests
Mason Daugherty 12c0e9b7d8
fix(docs): local API reference documentation build (#32271)
ensure all relevant packages are correctly processed - cli wasn't
included, also fix ValueError
2025-07-28 00:50:20 -04:00
..
langchain_tests fix(docs): local API reference documentation build (#32271) 2025-07-28 00:50:20 -04:00
scripts multiple: pydantic 2 compatibility, v0.3 (#26443) 2024-09-13 14:38:45 -07:00
tests fix: formatting issues in docstrings (#32265) 2025-07-27 23:37:47 -04:00
Makefile feat(docs): improve devx, fix Makefile targets (#32237) 2025-07-25 14:49:03 -04:00
pyproject.toml standard-tests: Add ruff rules PGH (#31869) 2025-07-07 10:07:39 -04:00
README.md docs(openai): add comprehensive documentation and examples for extra_body + others (#32149) 2025-07-24 16:43:16 -04:00
uv.lock fix: LLM mimicking Unicode responses due to forced Unicode conversion of non-ASCII characters. (#32222) 2025-07-24 17:01:31 -04:00

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:

```bash
pip install -U langchain-tests
```

Poetry:

```bash
poetry add langchain-tests
```

Usage

To add standard tests to an integration package's e.g. 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:

```python
"""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:

```python
"""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')