🦜🔗 Codespaces LangChain Template

This template provides a one-click dev environment for building "LLM apps" with LangChain, Codespaces, and GPT-3. With it, you'll get free access to a VS Code-based web editor, complete with a fully-configured Python playground, that includes the neccessary SDKs, libraries, and IDE extensions 🐱‍💻

Getting Started

1. Create a repo from this template, by clicking the green Use this template button, and selecting Create a new repository. Name the repo whatever you'd like 👍

   

2. In order to interact with GPT-3, you'll need to create an account with OpenAI, and generate an API key that LangChain can use. Once you have that, create a new Codespaces repo secret named OPENAI_API_KEY, and set it to the value of your API key.

3. Open your new repo in a Codespace by clicking the green Code button on the repo's homepage, and selecting Create codespace on main

   

4. Once you're within the web editor, simply open any of the notebooks within the /examples folder, and select Run All in the notebook's toolbar. From there, you can change any of the prompts and/or code, and then re-run the cell/notebook, in order to get a better intuition for how LangChain can help you build your own custom chains 🚀

Optionally, if you'd like to explore the sample that automates Google search qierues, create an account with SerpAPI, generate an API key, and set it as a Codespaces secret called SERPAPI_API_KEY.