All videos
0:00 / 0:00
research

End-to-end AI Agent Project with LangChain | Full Walkthrough

James Briggs16 June 2026Watch on YouTube

Part of series

Ep. 1 · Langchain Full Agent

View the series

Description

In this video, we'll develop a full AI Agent application using Python, LangChain, FastAPI, AI agents, tools, streaming, and more. 🔗 Full Course: https://www.aurelio.ai/course/langchain 📌 Code: https://github.com/aurelio-labs/langchain-course/tree/main/chapters/09-capstone 💡 Subscribe for Latest Courses and Tutorials: https://www.aurelio.ai/subscribe 👋🏼 AI Consulting: https://aurelio.ai 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ #ai #langchain #programming #aiagents 00:00 End-to-End LangChain Agent 01:39 Setup the AI App 04:37 API Setup 11:28 API Token Generator 15:57 Agent Executor in API 34:03 Async SerpAPI Tool 40:08 Running the App 11:44 Course Completion

What you'll learn

  • Learn how to build a complete AI Agent application with LangChain and Python, from setup to deployment.
  • Integrate tools like SerpAPI into your agent, enabling it to perform web searches and retrieve external data.
  • Implement async processing and streaming in FastAPI to deliver real-time responses from your AI Agent.
  • Set up API authentication with a token generator to secure your agent application.

Frequently asked questions

What is an AI Agent in LangChain and how does it differ from a standard chatbot?
An AI Agent in LangChain is an intelligent system that can make autonomous decisions and use tools to accomplish tasks, rather than just providing pre-defined answers. The agent can determine which tools it needs, invoke them, and use the results for further reasoning.
Why do you use FastAPI in this tutorial and how does streaming work with your agent?
FastAPI is used to expose your AI Agent as a web API with fast performance and built-in async support. Streaming allows you to send responses to the user in real-time while the agent is still processing, rather than waiting for the complete answer.
How do you integrate SerpAPI as a tool in your agent and what can the agent do with it?
SerpAPI is integrated as an async tool that your agent can invoke to perform web searches. This enables the agent to retrieve current information from the internet and use it to provide better-informed answers.
How do you secure your AI Agent API with authentication tokens?
The tutorial demonstrates how to implement an API Token Generator that creates unique tokens for authentication. These tokens ensure that only authorized users can call your agent API.

Topics

langchainai agentspythonfastapitutorial