langchain-ai / langchain-academy

.svg)
## Introduction
Welcome to LangChain Academy, Introduction to LangGraph! 
This is a growing set of modules focused on foundational concepts within the LangChain ecosystem. 
Module 0 is basic setup and Modules 1 - 5 focus on building in LangGraph, progressively adding more advanced themes. Module 6 addresses deploying your agents. 
In each module folder, you'll see a set of notebooks. A link to the LangChain Academy lesson is at the top of each notebook to guide you through the topic. Each module also has a `studio` subdirectory, with a set of relevant graphs that we will explore using the LangGraph API and Studio.
## Setup
### Python version
Make sure you're using Python version 3.11, 3.12, or 3.13.
 [code] 
### Clone repo
 [code] 
Or, if you prefer, you can download a zip file here.
### Create an environment and install dependencies
#### Mac/Linux/WSL
 [code] 
#### Windows Powershell
 [code] 
### Running notebooks
If you don't have Jupyter set up, follow the installation instructions here.
 [code] 
### Setting up env variables
Briefly going over how to set up environment variables. 
#### Mac/Linux/WSL
 [code] 
#### Windows Powershell
 [code] 
### Set OpenAI API key
* If you don't have an OpenAI API key, you can sign up here.
* Set `OPENAI_API_KEY` in your environment 
### Sign up and Set LangSmith API
* Sign up for LangSmith here, find out more about LangSmith and how to use it within your workflow here. 
* Set `LANGSMITH_API_KEY`, `LANGSMITH_TRACING_V2="true"` `LANGSMITH_PROJECT="langchain-academy"`in your environment 
* If you are on the EU instance also set `LANGSMITH_ENDPOINT`="https://eu.api.smith.langchain.com" as well.
### Set up Tavily API for web search
* Tavily Search API is a search engine optimized for LLMs and RAG, aimed at efficient, 
quick, and persistent search results. 
* You can sign up for an API key here. 
It's easy to sign up and offers a very generous free tier. Some lessons (in Module 4) will use Tavily. 
* Set `TAVILY_API_KEY` in your environment.
### Set up Studio
* Studio is a custom IDE for viewing and testing agents.
* Studio can be run locally and opened in your browser on Mac, Windows, and Linux.
* See documentation here on the local Studio development server. 
* Graphs for LangGraph Studio are in the `module-x/studio/` folders for module 1-5.
* To start the local development server, make sure your virtual environment is active and run the following command in your terminal in the `/studio` directory in each module:
 [code] 
You should see the following output:
 [code] 
Open your browser and navigate to the Studio UI: `https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024`.
* To use Studio, you will need to create a .env file with the relevant API keys
* Run this from the command line to create these files for module 1 to 5, as an example:
 [code]