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Code contributions are always welcome! Whether you’re fixing bugs, adding features, or improving performance, your contributions help deliver a better developer experience for thousands of developers.

Getting started

Before submitting large new features or refactors, please first discuss your ideas in the forum. This ensures alignment with project goals and prevents duplicate work.This does not apply to bugfixes or small improvements, which you can contribute directly via pull requests. See the quickstart guide below.

Quick fix: submit a bugfix

For simple bugfixes, you can get started immediately:
1

Reproduce the issue

Create a minimal test case that demonstrates the bug. Maintainers and other contributors should be able to run this test and see the failure without additional setup or modification
2

Fork the repository

Fork the LangChain or LangGraph repo to your personal GitHub account
3

Clone and setup

git clone https://github.com/your-username/name-of-forked-repo.git

# For instance, for LangChain:
git clone https://github.com/parrot123/langchainjs.git

# For LangGraph:
git clone https://github.com/parrot123/langgraphjs.git
# Inside your repo, install dependencies
pnpm install
# Create a build for all packages to resolve workspace dependencies
pnpm build
4

Create a branch

Create a new branch for your fix. This helps keep your changes organized and makes it easier to submit a pull request later.
git checkout -b your-username/short-bugfix-name
5

Write failing tests

Add unit tests that will fail without your fix. This allows us to verify the bug is resolved and prevents regressions
6

Make your changes

Fix the bug while following our code quality standards. Make the minimal change necessary to resolve the issue
7

Run build

Run the build command to ensure the package still builds properly
pnpm build
# or build a specific workspace package
pnpm --filter @langchain/core build
8

Verify the fix

Ensure that tests pass and no regressions are introduced. Ensure all tests pass locally before submitting your PR
pnpm lint
pnpm test

# For bugfixes involving integrations, also run:
pnpm test:int

# Or run tests in a specific workspace package
cd libs/langchain-core
pnpm test
pnpm lint

# Or run tests for a specific package from the root of the repo
pnpm --filter @langchain/core test
pnpm --filter @langchain/core lint
9

Document the change

Update docstrings if behavior changes, add comments for complex logic
10

Submit a pull request

Follow the PR template provided. If applicable, reference the issue you’re fixing using a closing keyword (e.g. Fixes #ISSUE_NUMBER) so that the issue is automatically closed when your PR is merged.

Full development setup

For ongoing development or larger contributions:
  1. Review our contribution guidelines for features, bugfixes, and integrations
  2. Set up your environment following our setup guide below
  3. Understand the repository structure and package organization
  4. Learn our development workflow including testing and linting

Contribution guidelines

Before you start contributing to LangChain, take a moment to think about why you want to. If your only goal is to add a “first contribution” to your resume (or if you’re just looking for a quick win) you might be better off doing a boot-camp or an online tutorial. Contributing to open source projects takes time and effort, but it can also help you become a better developer and learn new skills. However, it’s important to know that it might be harder and slower than following a training course. That said, contributing to open source is worth it if you’re willing to take the time to do things well.

Backwards compatibility

Breaking changes to public APIs are not allowed except for critical security fixes.See our versioning policy for details on major version releases.
Maintain compatibility via:
Always preserve:
  • Function signatures and parameter names
  • Class interfaces and method names
  • Return value structure and types
  • Import paths for public APIs
Acceptable modifications:
  • Adding new optional parameters/type parameters
  • Adding new methods to classes
  • Improving performance without changing behavior
  • Adding new modules or functions
  • Would this break existing user code?
  • Check if your target is public
  • Are there existing usage patterns in tests?

New features

We aim to keep the bar high for new features. We generally don’t accept new core abstractions from outside contributors without an existing issue that demonstrates an acute need for them. This also applies to changes to infra and dependencies. In general, feature contribution requirements include:
1

Design discussion

Open an issue describing:
  • The problem you’re solving
  • Proposed API design
  • Expected usage patterns
2

Implementation

  • Follow existing code patterns
  • Include comprehensive tests and documentation
  • Consider security implications
3

Integration considerations

  • How does this interact with existing features?
  • Are there performance implications?
  • Does this introduce new dependencies?
We will reject features that are likely to lead to security vulnerabilities or reports.

Security guidelines

Security is paramount. Never introduce vulnerabilities or unsafe patterns.
Security checklist:
  • Validate and sanitize all user inputs
  • Properly escape data in templates and queries
  • Never use eval(), as this can lead to arbitrary code execution vulnerabilities
  • Use specific exception types
  • Don’t expose sensitive information in error messages
  • Implement proper resource cleanup
  • Avoid adding hard dependencies
  • Keep optional dependencies minimal
  • Review third-party packages for security issues

Development environment

Our JS/TS projects uses pnpm for dependency management. Make sure you have the latest version installed, or run corepack enable (on Node 24+) to setup the required pnpm version.
Once you’ve reviewed the contribution guidelines, set up a development environment for the package(s) you’re working on.
  • LangChain
  • LangGraph
For changes to langchain-core:
pnpm install
# Run tests for a package from the package directory
cd libs/langchain-core
pnpm test

# Or run tests for a package from the root of the repo
pnpm --filter @langchain/core test

For changes to langchain:
pnpm install
pnpm --filter langchain test  # Ensure tests pass before starting development
For changes to partner integrations:
pnpm install
pnpm --filter @langchain/{provider} test  # Ensure tests pass before starting development
For changes to community integrations:
pnpm install
pnpm --filter @langchain/community test  # Ensure tests pass before starting development

Repository structure

  • LangChain
  • LangGraph
LangChain is organized as a monorepo with multiple packages:

Core packages

  • langchain (located in libs/langchain/): Main package with chains, agents, and retrieval logic
  • @langchain/core (located in libs/langchain-core/): Base interfaces and core abstractions
Located in libs/providers/, these are independently versioned packages for specific integrations. For example:

Development workflow

Testing requirements

Directories are relative to the package you’re working in.
Every code change must include comprehensive tests.

Unit tests

Location: src/tests/FILENAME_BEING_TESTED.test.ts Requirements:
  • No network calls allowed
  • Test all code paths including edge cases
  • Use mocks for external dependencies
# Run the entire test suite
pnpm test

# Or run a specific test file
pnpm test src/tests/FILENAME_BEING_TESTED.test.ts

# Or run a specific test function
pnpm test -t "the test that should be run"

Integration tests

Location: src/tests/FILENAME_BEING_TESTED.int.test.ts Integration tests require access to external services/ provider APIs (which can cost money) and therefore are not run by default. Not every code change will require an integration test, but keep in mind that we’ll require/ run integration tests separately as apart of our review process. Requirements:
  • Test real integrations with external services
  • Use environment variables for API keys
  • Skip gracefully if credentials unavailable
pnpm test:int

Code quality standards

Contributions must adhere to the following quality requirements:
  • Type hints
  • Documentation
  • Code style
Required: Complete types for all functions
function processDocuments(
    docs: Document[],
    processor: DocumentProcessor,
    batchSize: number = 100
): ProcessingResult {
    // ...
}

Testing and validation

Running tests locally

Before submitting your PR, ensure you have completed the following steps. Note that the requirements differ slightly between LangChain and LangGraph.
  • LangChain
  • LangGraph
1

Unit tests

pnpm test
All unit tests must pass
2

Integration tests

pnpm test:int
(Run if your changes affect integrations)
3

Formatting

pnpm format
pnpm lint
Code must pass all style checks
4

PR submission

Push your branch and open a pull request. Follow the provided form template. Note related issues using a closing keyword. After submitting, wait, and check to ensure the CI checks pass. If any checks fail, address the issues promptly - maintainers may close PRs that do not pass CI within a reasonable timeframe.

Test writing guidelines

In order to write effective tests, there’s a few good practices to follow:
  • Encapsulate the test in a describe block that describes the component being tested
  • Use natural language to describe the test name
  • Be exhaustive with assertions
  • Only use snapshots for reasonably sized data objects
  • Unit tests
  • Integration tests
  • Mock usage
describe("DocumentProcessor", () => {
    it("Should handle empty document list", () => {
        const processor = new DocumentProcessor();
        const result = processor.process([]);

        expect(result.success).toBe(true);
        expect(result.processedCount).toBe(0);
        expect(result.errors).toHaveLength(0);
    });
});

Getting help

Our goal is to have the most accessible developer setup possible. Should you experience any difficulty getting setup, please ask in the community slack or open a forum post.
You’re now ready to contribute high-quality code to LangChain!

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