https://github.com/zsio/willsmith
A LangSmith Open-Source Alternative. 一个 LangSmith 的开源替代。
https://github.com/zsio/willsmith
agent ai langchain langsmith llm rag
Last synced: 6 months ago
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A LangSmith Open-Source Alternative. 一个 LangSmith 的开源替代。
- Host: GitHub
- URL: https://github.com/zsio/willsmith
- Owner: zsio
- Created: 2024-09-03T06:35:50.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-18T10:47:03.000Z (12 months ago)
- Last Synced: 2024-10-18T12:56:05.373Z (12 months ago)
- Topics: agent, ai, langchain, langsmith, llm, rag
- Language: TypeScript
- Homepage:
- Size: 220 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# WillSmith: A LangSmith Open-Source Alternative 🚀
[](https://hub.docker.com/r/zsio/willsmith)
**WillSmith** is an open-source alternative to LangSmith, designed to provide a more cost-effective and flexible solution for monitoring, debugging, and optimizing applications based on large language models (LLMs). It supports easy deployment via Docker and features a sleek user interface.
## Features ✨
- **Chain Call Monitoring**: Track and record every model call's input, output, errors, and performance metrics for easy optimization.
- **User-Friendly UI**: With a clean interface built using Shadcn UI, quickly browse and analyze stored data.
- **MongoDB Data Storage**: Efficiently store and query chain call and debugging data with MongoDB.
- **Docker Deployment**: Easily get started using the provided Docker setup.
## Getting Started ⚡
### 1. Start with Docker Compose 🐳
This project provides a `docker-compose.yaml` file that includes everything you need to run the app and MongoDB. Make sure you have Docker and Docker Compose installed.
First, set up your environment variables in a `.env` file:
```bash
# .env
MONGODB_URI=mongodb://your-mongo-uri:27017/willsmith
```
Then, simply run:
```bash
docker-compose up -d
```
Docker Compose will start both the WillSmith app and the MongoDB instance. The app will be available at `http://localhost:3000`.
### 2. Access the App 🌐
Once the app is running, open your browser and visit `http://localhost:3000` to access the UI and start managing your application data.
## LangChain Integration 🔗
To integrate WillSmith with your LangChain project for chain call monitoring, just add the following environment variables to your `.env` file:
```bash
# In your LangChain project's .env file
LANGCHAIN_ENDPOINT=http://localhost:3000 # The service URL after Docker starts
LANGCHAIN_TRACING_V2=True
LANGCHAIN_API_KEY=your_api_key # Any value, no key validation yet
LANGCHAIN_PROJECT=project_name # Your custom project name
```
With these settings, LangChain will automatically send chain call data to WillSmith, which will store it in MongoDB.
## Development Roadmap 🛠️
We have an exciting set of features in our development pipeline. Here’s what’s coming next:
- [x] **Project Querying** 🗂️ — Completed
- [x] **Root Record Querying** 📝 — Completed
- [ ] **Tree-Structured Detailed Record Querying** 🌲 — In progress
- [ ] **Enhanced Database Design** 📊 — Coming soon (refactor data into multiple collections)
- [ ] **Auto-Update for Record Queries** 🔄 — Coming soon (dynamic query updates for latest records)
---
Feel free to extend the project based on your needs. We welcome contributions from the community! 🙌