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🦜️🔗 LangChain IBM

Packages

This repository contains 2 package with IBM integrations with LangChain:

Each of these has its own development environment.

Contribute Code

To contribute to this project, please follow the contributing guidelines.

Repository Structure

If you plan on contributing to LangChain-IBM code or documentation, it can be useful to understand the high level structure of the repository.

langchain-ibm is organized as a monorepo that contains multiple packages.

Here's the structure visualized as a tree:

.
├── libs
│   ├── ibm
│   │   ├── tests/unit_tests # Unit tests (present in each package, not shown for brevity)
│   │   ├── tests/integration_tests # Integration tests (present in each package, not shown for brevity)
│   ├── langchain-db2

The root directory also contains the following files:

  • pyproject.toml: Dependencies for building and linting the docs and cookbook.
  • Makefile: A file that contains shortcuts for building and linting the docs and cookbook.

There are other files in the root directory level, but their presence should be self-explanatory.

Local Development Dependencies

Install development requirements (for running langchain, running examples, linting, formatting, tests, and coverage):

uv sync --group lint --group typing --group test --group test_integration

Then verify dependency installation:

make test

Formatting and Linting

Formatting

Formatting for this project is done via ruff.

To run formatting for a library, run the same command from the relevant library directory:

cd libs/{LIBRARY}
make format

Additionally, you can run the formatter only on the files that have been modified in your current branch as compared to the master branch using the format_diff command:

make format_diff

This is especially useful when you have made changes to a subset of the project and want to ensure your changes are properly formatted without affecting the rest of the codebase.

Linting

Linting for this project is done via a combination of ruff and mypy.

To run linting for docs, cookbook and templates:

make lint

To run linting for a library, run the same command from the relevant library directory:

cd libs/{LIBRARY}
make lint

In addition, you can run the linter only on the files that have been modified in your current branch as compared to the master branch using the lint_diff command:

make lint_diff

This can be very helpful when you've made changes to only certain parts of the project and want to ensure your changes meet the linting standards without having to check the entire codebase.

We recognize linting can be annoying - if you do not want to do it, please contact a project maintainer, and they can help you with it. We do not want this to be a blocker for good code getting contributed.

Testing

All of our packages have unit tests and integration tests, and we favor unit tests over integration tests.

Unit tests run on every pull request, so they should be fast and reliable.

Integration tests run once a day, and they require more setup, so they should be reserved for confirming interface points with external services.

Unit Tests

Unit tests cover modular logic that does not require calls to outside APIs.

If you add new logic, please add a unit test.

In unit tests we check pre/post processing and mocking all external dependencies.

To install dependencies for unit tests:

uv sync --group test

To run unit tests:

make test

To run a specific test:

TEST_FILE=tests/unit_tests/test_imports.py make test

Integration Tests

Integration tests cover logic that requires making calls to outside APIs (often integration with other services).

If you add support for a new external API, please add a new integration test.

Warning: Almost no tests should be integration tests.

Tests that require making network connections make it difficult for other developers to test the code.

Instead favor relying on responses library and/or mock.patch to mock requests using small fixtures.

To install dependencies for integration tests:

uv sync --group test --group test_integration

To run integration tests:

make integration_tests

Prepare environment variables for local testing

  • Copy tests/integration_tests/.env.example to tests/integration_tests/.env
  • Set variables in tests/integration_tests/.env file, e.g WATSONX_APIKEY

Additionally, it's important to note that some integration tests may require certain environment variables to be set, such as WATSONX_PROJECT_ID. Be sure to set any required environment variables before running the tests to ensure they run correctly.

Coverage

Code coverage (i.e. the amount of code that is covered by unit tests) helps identify areas of the code that are potentially more or less brittle.

Coverage requires the dependencies for tests:

uv sync --group test

To get a report of current coverage, run the following:

make coverage