diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
index b50df2d..ac481fc 100644
--- a/.devcontainer/devcontainer.json
+++ b/.devcontainer/devcontainer.json
@@ -1,4 +1,10 @@
{
+ "secrets": {
+ "OPENAPI_API_KEY": {
+ "description": "In order to interact with GPT-3, you'll need to create an account with OpenAPI and generate an API key that LangChain can use.",
+ "documentationUrl": "https://openai.com/api/"
+ }
+ },
"customizations": {
"vscode": {
"extensions": ["ms-python.python", "ms-toolsai.jupyter"]
diff --git a/README.md b/README.md
index 1277ce5..9a9908e 100644
--- a/README.md
+++ b/README.md
@@ -6,15 +6,9 @@ This template provides a one-click dev environment for building "LLM apps" with
## 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 👍
+1. Create a codespace for this template.
- 
-
-1. In order to interact with GPT-3, you'll need to create an account with [OpenAI](https://openai.com/api/), and generate an API key that LangChain can use. Once you have that, create a new [Codespaces repo secret](https://docs.github.com/en/codespaces/managing-codespaces-for-your-organization/managing-encrypted-secrets-for-your-repository-and-organization-for-github-codespaces#adding-secrets-for-a-repository) named `OPENAI_API_KEY`, and set it to the value of your API key.
-
-1. Open your new repo in a Codespace by clicking the green `Code` button on the repo's homepage, and selecting `Create codespace on main`
-
- 
+ [](https://codespaces.new/lostintangent/codespaces-langchain?resume=1)
1. 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 🚀