langchain/libs/standard-tests
ccurme faef3e5d50
core, standard-tests: support PDF and audio input in Chat Completions format (#30979)
Chat models currently implement support for:
- images in OpenAI Chat Completions format
- other multimodal types (e.g., PDF and audio) in a cross-provider
[standard
format](https://python.langchain.com/docs/how_to/multimodal_inputs/)

Here we update core to extend support to PDF and audio input in Chat
Completions format. **If an OAI-format PDF or audio content block is
passed into any chat model, it will be transformed to the LangChain
standard format**. We assume that any chat model supporting OAI-format
PDF or audio has implemented support for the standard format.
2025-04-23 18:32:51 +00:00
..
langchain_tests core, standard-tests: support PDF and audio input in Chat Completions format (#30979) 2025-04-23 18:32:51 +00:00
scripts multiple: pydantic 2 compatibility, v0.3 (#26443) 2024-09-13 14:38:45 -07:00
tests standard-tests[patch]: require model_name in response_metadata if returns_usage_metadata (#30497) 2025-03-26 12:20:53 -04:00
Makefile infra: add UV_FROZEN to makefiles (#29642) 2025-02-06 14:36:54 -05:00
pyproject.toml standard-tests: release 0.3.19 (#30906) 2025-04-17 10:37:44 -04:00
README.md standard-tests: rename langchain_standard_tests to langchain_tests, release 0.3.2 (#28203) 2024-11-18 19:10:39 -08:00
uv.lock standard-tests: release 0.3.19 (#30906) 2025-04-17 10:37:44 -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:

"""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')