How to publish an integration package from a template

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This guide is a work-in-progress.

First, duplicate this template repository: https://github.com/langchain-ai/integration-repo-template

In this guide, we will create a libs/langchain-parrot-link folder, simulating the creation of a partner package for a fake company, "Parrot Link AI".

A package is installed by users with pip install langchain-{partner}, and the package members can be imported with code like:

from langchain_{partner} import X

Set up a new package

To set up a new partner package, use the latest version of the LangChain CLI. You can install or update it with:

pip install -U langchain-cli

Let's say you want to create a new partner package working for a company called Parrot Link AI.

Then, run the following command to create a new partner package:

mkdir libs
cd libs/
langchain-cli integration new
> Name: parrot-link
> Name of integration in PascalCase [ParrotLink]: ParrotLink

This will create a new package in libs/parrot-link with the following structure:

libs/parrot-link/
  langchain_parrot_link/ # folder containing your package
    ...
  tests/
    ...
  docs/ # bootstrapped docs notebooks, must be moved to /docs in monorepo root
    ...
  scripts/ # scripts for CI
    ...
  LICENSE
  README.md # fill out with information about your package
  Makefile # default commands for CI
  pyproject.toml # package metadata, mostly managed by Poetry
  poetry.lock # package lockfile, managed by Poetry
  .gitignore

Implement your package

First, add any dependencies your package needs, such as your company's SDK:

poetry add parrot-link-sdk

If you need separate dependencies for type checking, you can add them to the typing group with:

poetry add --group typing types-parrot-link-sdk

Then, implement your package in libs/partners/parrot-link/langchain_parrot_link.

By default, this will include stubs for a Chat Model, an LLM, and/or a Vector Store. You should delete any of the files you won't use and remove them from __init__.py.

Write Unit and Integration Tests

Some basic tests are presented in the tests/ directory. You should add more tests to cover your package's functionality.

For information on running and implementing tests, see the Testing guide.

Write documentation

Documentation is generated from Jupyter notebooks in the docs/ directory. You should place the notebooks with examples to the relevant docs/docs/integrations directory in the monorepo root.

(If Necessary) Deprecate community integration

Note: this is only necessary if you're migrating an existing community integration into a partner package. If the component you're integrating is net-new to LangChain (i.e. not already in the community package), you can skip this step.

Let's pretend we migrated our ChatParrotLink chat model from the community package to the partner package. We would need to deprecate the old model in the community package.

We would do that by adding a @deprecated decorator to the old model as follows, in libs/community/langchain_community/chat_models/parrot_link.py.

Before our change, our chat model might look like this:

class ChatParrotLink(BaseChatModel):
  ...

After our change, it would look like this:

from langchain_core._api.deprecation import deprecated

@deprecated(
    since="0.0.<next community version>", 
    removal="0.2.0", 
    alternative_import="langchain_parrot_link.ChatParrotLink"
)
class ChatParrotLink(BaseChatModel):
  ...

API Reference:deprecated

You should do this for each component that you're migrating to the partner package.

Additional steps

Contributor steps:

• Add secret names to manual integrations workflow in .github/workflows/_integration_test.yml
• Add secrets to release workflow (for pre-release testing) in .github/workflows/_release.yml
• set up pypi and test pypi projects
• add credential secrets to Github Actions
• add package to conda-forge