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Codespaces Template

Free

a Codespaces template for getting up-and-running with LangChain in seconds! ![GitHub Repo stars](https://img.shields.io/github/stars/lostintangent/codespaces-langchain?style=social)

FreeFree tier
Type
Open Source

About Codespaces Template

This template provides a one-click dev environment for building LLM apps with LangChain, Codespaces, and GPT-3. It offers a fully-configured Python playground within a VS Code-based web editor, including the necessary SDKs, libraries, and IDE extensions. Users can create a repository from the template, set up an OpenAI API key as a Codespaces secret, and open a Codespace to run example notebooks from the /examples folder. Optional integration with SerpAPI enables automated Google search queries. The template is designed to help developers quickly experiment with LangChain and build custom chains.

Key Features

One-click dev environment using GitHub Codespaces
VS Code-based web editor with full Python playground
Pre-configured with necessary SDKs, libraries, and IDE extensions
Includes example notebooks in /examples folder
Supports OpenAI GPT-3 via API key
Optional integration with SerpAPI for search queries
Free to use within Codespaces free tier (subject to GitHub limits)

Pros & Cons

Pros
  • No local setup required; everything runs in the cloud
  • Pre-configured environment saves time on dependencies
  • Includes ready-to-run example notebooks
  • Leverages free GitHub Codespaces tier for development
  • Supports customization and extension
Cons
  • Requires an OpenAI API key, which incurs usage costs
  • Limited to the Codespaces environment (online only)
  • Optional SerpAPI key needed for search-related examples
  • Dependent on GitHub Codespaces availability and quotas

Best For

Rapid prototyping of LLM applications with LangChainLearning and experimenting with LangChain and GPT-3Building custom chains and agentsDeveloping and testing LLM-based tools without local setupEducational purposes for workshops or tutorials

FAQ

What is this template?
It is a GitHub Codespaces template that provides a one-click dev environment for building LLM apps with LangChain and GPT-3. It includes a fully-configured Python playground with SDKs, libraries, and IDE extensions.
Do I need an OpenAI API key?
Yes, to interact with GPT-3 you need to create an OpenAI account and generate an API key, which must be set as a Codespaces secret named OPENAI_API_KEY.
How do I get started?
Create a repository from this template, generate an OpenAI API key and set it as a Codespaces secret, then open a Codespace and run the notebooks in the /examples folder.
Can I use this template for free?
The template itself is free and open source. Running Codespaces may consume free tier minutes provided by GitHub, but additional usage may incur costs.