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