Quickstart

Running LangBear application

The LangBear app is a web application for prompt management. Users can create and update prompt templates on-the-fly, track versions, and monitor prompt ratings with it. Step 1. Create and configure a new LangBear app with Supabase.

$ npx create-langbear-app my-app --database supabase

Step 2. Start your app with npm run dev.

$ npm run dev

The LangBear application is now available at http://localhost:3030. Check out the Application page for more details.

Setting up your development

The LangBear library allows you to manage LangChain prompts from the LangBear web application, accomplished with just a few lines of code. Step 1. Add LangBear dependency to your project:

pip install langbear

npm install -S langbear

yarn add langbear

pnpm add langbear

Step 2. Initialize LangBear client:

from langbear import LangBear

lb = LangBear(end_point="http://localhost:3030")

TBD;

Step 2. Add LangBear callback handler to your LangChain callbacks:

from langchain.llms import OpenAI

llm = OpenAI(temperature=0.5, callbacks=[lb.callback_handler])

TBD;

Step 3. Get a prompt template from LangBear:

prompt = lb.prompts.get("company-name-generation")
prompt.format(product="colorful socks")

TBD;

You are now ready to manage prompts using LangBear. Check out the Development page for more details.

Get Started

Application

Development

Under the hood

Running LangBear application

Setting up your development

​Running LangBear application

​Setting up your development

Running LangBear application

Setting up your development