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Documentation Index

Fetch the complete documentation index at: https://langbear.runbear.io/llms.txt

Use this file to discover all available pages before exploring further.

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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.

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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
Step 2. Initialize LangBear client: 
from langbear import LangBear

lb = LangBear(end_point="http://localhost:3030")
Step 2. Add LangBear callback handler to your LangChain callbacks: 
from langchain.llms import OpenAI

llm = OpenAI(temperature=0.5, callbacks=[lb.callback_handler])
Step 3. Get a prompt template from LangBear: 
prompt = lb.prompts.get("company-name-generation")
prompt.format(product="colorful socks")
You are now ready to manage prompts using LangBear. Check out the Development page for more details.