Building an LLM Agent for Github with LangChain
In this video, let's look at a basic langchain LLM-agent that can make commits to a github repo, create and read from files as well as update other files based off the contents in another file from that repo!
📚 Chapters:
00:00 - Introduction
00:04 - Basics of Using LangChain to Build an AI Agent
00:19 - Steps for Building a Simple AI Agent Using LangChain
00:56 - Setting Up Language Model (LLM)
01:14 - Defining Toolkit Function for GitHub Actions
02:00 - Testing the GitHub Commit Function
02:47 - Integrating Toolkit Function with LangChain Agent
03:46 - Creating Tool List
03:56 - Initializing and Defining the Agent
04:32 - Zero-Shot React Description Explained
05:35 - Invoking the Agent to Commit on GitHub
06:39 - Verifying GitHub Commit
07:54 - Extending Functionality: Create a File
14:02 - Reading Content from Files
14:15 - Creating Read File Tool
14:33 - Updating Tools List
14:51 - Creating a Task for Reading and Committing Files
15:35 - Running the Task and Initial Observations
16:00 - Discussing Model Limitations
16:45 - Citing Papers on Model Limitations
17:12 - Updating the LLM
17:47 - Running the Task Again
18:26 - Analyzing New Output
18:48 - Final Thoughts
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