community
How to add a community integration (deprecated)
We are no longer accepting new community integrations. Please see the main integration guide for more information on contributing new integrations.
The langchain-community package is in libs/community.
It can be installed with pip install langchain-community, and exported members can be imported with code like
from langchain_community.chat_models import ChatParrotLink
from langchain_community.llms import ParrotLinkLLM
from langchain_community.vectorstores import ParrotLinkVectorStore
The community package relies on manually-installed dependent packages, so you will see errors
if you try to import a package that is not installed. In our fake example, if you tried to import ParrotLinkLLM without installing parrot-link-sdk, you will see an ImportError telling you to install it when trying to use it.
Let's say we wanted to implement a chat model for Parrot Link AI. We would create a new file in libs/community/langchain_community/chat_models/parrot_link.py with the following code:
from langchain_core.language_models.chat_models import BaseChatModel
class ChatParrotLink(BaseChatModel):
    """ChatParrotLink chat model.
    Example:
        .. code-block:: python
            from langchain_community.chat_models import ChatParrotLink
            model = ChatParrotLink()
    """
    ...
And we would write tests in:
- Unit tests: 
libs/community/tests/unit_tests/chat_models/test_parrot_link.py - Integration tests: 
libs/community/tests/integration_tests/chat_models/test_parrot_link.py 
And add documentation to:
docs/docs/integrations/chat/parrot_link.ipynb