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How To Control Your Agent Action and Prompt System: LangGraph
Artificial Intelligence   Data Science   Latest   Machine Learning

How To Control Your Agent Action and Prompt System: LangGraph

Last Updated on March 25, 2024 by Editorial Team

Author(s): Gao Dalie (ι«˜ι”ηƒˆ)

Originally published on Towards AI.

if you are keeping up with Agent in Langchain, you know there are many ways to build an agent, but in this video, I bring a new idea to the table.

So, what I’ll be showing you today is how to create a double confirmation agent action with a loop in action and React prompting for a better control system on your chatbot

I’ve noticed that many tutorials tend to make things more complicated than they need to be. That’s why I decided to create a quick and straightforward guide. With my code, you can easily create chatbots for your business or personal use.

But here’s the kicker: with this method, you can completely tweak and customize your app to fit your needs perfectly

if you want the Code, Comment Code and I will DM you The link Code

If you like this topic and you want to support me:

Clap my article 50 times; that will really help me out.U+1F44FFollow me on Medium and subscribe for Free to get my latest articleU+1FAF6Follow me on my YouTube channel

Human-in-the-loop (HITL) refers to a system design where humans and Agents work together iteratively to achieve a goal.

in LangGraph is A single shared state that makes the process easier… Read the full blog for free on Medium.

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