Introduction

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What is lsproxy?

lsproxy offers IDE-like code analysis and navigation functionality in a docker container with a REST API.

It supports multiple languages and resolves relationships between code symbols (functions, classes, variables) anywhere in the project - which can be used to help AI assistants navigate a codebase or build custom code RAG systems.

lsproxy runs Language Servers and ast-grep under the hood, giving you precise search results without the headache of configuring and integrating language-specific tooling.

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Key Features

• 🎯 Precise Cross-File Code Navigation: Find symbol definitions and references across your entire project.
• 🌐 Unified API: Access multiple language servers through a single API.
• 🛠️ Auto-Configuration: Automatically detect and configure language servers based on your project files.
• 📊 Code Diagnostics: (Coming Soon) Get language-specific lint output from an endpoint.
• 🌳 Call & Type Hierarchies: (Coming Soon) Query multi-hop code relationships computed by the language servers.
• 🔄 Procedural Refactoring: (Coming Soon) Perform symbol operations like rename, extract, auto import through the API.
• 🧩 SDKs: Libraries to get started calling lsproxy in popular languages.

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Getting started

The easiest way to get started is to run our tutorial! Check it out at demo.lsproxy.dev It’s also super easy to run lsproxy on your code! We keep the latest version up to date on Docker Hub, and we have a Python SDK available via pip.

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Install the sdk

pip install lsproxy-sdk

You can find the source for the SDK here

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Run a container or add to compose

Make sure your WORKSPACE_PATH is an absolute path, otherwise docker will complain.

docker run -p 4444:4444 -v $WORKSPACE_PATH:/mnt/workspace agenticlabs/lsproxy

services:
  lsproxy:
    image: agenticlabs/lsproxy
    ports:
      - "4444:4444"
    volumes:
      - ${WORKSPACE_PATH}:/mnt/workspace

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Configure an existing system

You can also configure an existing system to run lsproxy. Add the following line in your dockerfile or run it as part of a startup script

curl -sSL https://github.com/agentic-labs/lsproxy/releases/latest/download/install-lsproxy.sh | sh

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Explore your workspace!

from lsproxy import Lsproxy

client = Lsproxy()
file_path = "relative/path/from/project/root.cpp"
symbols = client.definitions_in_file(file_path)
for symbol in symbols:
    print(f"{symbol.name} is defined in {file_path}")

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Building products with lsproxy

If you’re building AI coding agents or code RAG, or would like to use lsproxy in a commercial product, please reach out!

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Contributing

We appreciate all contributions! You don’t need to be an expert to help out. Please see CONTRIBUTING.md for more details on how to get started.

Questions? Reach out to us on Discord.

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Community

We’re building a community. Come hang out with us!

• 🌟 Star us on GitHub
• 💬 Chat with us on Discord
• ✏️ Start a GitHub Discussion
• 🐦 Follow us on Twitter
• 🕴️ Follow us on LinkedIn

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Supported languages

We’re looking to add new language support or better language servers so let us know what you need!