XAgent: AutoGen 2.0? An Autonomous Agent for Complex Task Solving (Installation Tutorial)

[Music] autonomous agents have been popping around in the year of 2023 with the hopes of achieving a step closer to AI we've seen this many times with different types of AI agents we covered on this channel with super AGI Auto gbt as well as with baby AGI now while these pioneering projects have demonstrated potential in this direction the journey to fully automate AI agents still presents quite a formidable challenge now this is specifically with autonomy where existing agents are bounded to human imposed rules knowledges as well as by biases then you have the inconsistent communication framework and this is where there is a lack of mode of communication that leads to a potential misunderstanding lastly you have rigged task management this is where existing agents lack the flexibility in having highlevel task management these are these are just basically handful of scenarios in which AI agents have this challenge however let me introduce you a new project called X agent a solution to these challenges an autonomous agent that is targeting the realization of complex task solving task in an autonomous manner this is a project that is working to develop intelligent agents that are capable of mimicking human cognition as well as executing intricate tasks autonomously throughout today's video I'm going to be showcasing what you can actually do with X agent talk a little bit more about the capabilities showcase how you can actually install it and going over basically in general what you can do with it so with that thought guys make sure you stay tuned throughout the end of this video and let's get straight to it hey what is up guys welcome back to another YouTube video at the world of AI as you mentioned at the start we're going to take a look at X agent which is an autonomous agent for complex task solving X agent is an open-source project that utilizes large language models to drive autonomous agents so that it can automatically solve various tasks now just note that even though it is designed for solving complex task that doesn't basically mean that it's constrained to only solving complex tasks it's designed to be a general purpose agent so that it could be applied to wide ranges of tasks whether it is a complex task or just a regular task something to note is is that this project is fairly new in its early stages so keep that in mind as it was just recently released about yesterday the goal of this project as stated at the start is that they want to create a super intelligent agent that can basically solve any sort of task that it's been basically given it's in its early stages so they're continuous to working on this but it's something that they're going to keep on improving over the months so with that thought let's now explore some cool features that are associated with X agent so you can get some more like idea as to what you can actually do with it and understand some of the capabilities about ex agent if you guys would like to access our 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you have the autonomy in which it is a feature that X agent can automatically solve various task without human participation now this is something that we've seen with many different autonomous agents on my channel where we've seen autonomous AI agents like super agent as well as autogen as well as other ones that we mentioned such as the mgpt where you have multiple AI agents working together alongside with other agents to collaborativ solve a project this is the same sort of idea that X agent is trying to accomplish but the thing is you have one agent that does this and it does it on its own without any sort of human participation in terms of safety we have X agent in which it is designed to run safely all actions are constrained inside a Docker container so run it anyways another feature is its extendability X agent is basically designed to be extendable and and this basically means that you're able to build upon this add new plugins add new models add new tools so that it enhances the agent's abilities it makes new agents it grows the agent and it makes basically X agent so much more like better in a way cuz you're able to customize it you have a GUI and it provides this friendly GUI for users to interact with their agents you have another feature in which you have cooperation with human as you're basically able to inut your participation with ex agent so that you can collaborate to tackle certain tasks and this these are just some of the cool features now they have stated some couple things but we will cover in the next segment to speak further on some of the capabilities of X agent we have the tool server which is a server that equips X agent with a set of different types of robust and secure tools to tackle a range of different types of tasks it operates as a Docker container and what this basically means is that it offers this protective environment in which X agent can execute its operations we can see that it offers some of these tools such as a file editor which provides the text editing tool that can write read and modify files you have the python notebook which provides an interactive python notebook that can run python code to validate ideas as well as drawing figures you have the web browsing feature which provides you access to the web browser so you can search and visit different types of web pages you have the shell which provides a Bash shell tool that can execute any bat commands or shell commands sorry and even install programs and host Services you have the rapid API which provides a tool to retrieve apis from Rapid API and you're able to call them which provides a wide range of apis that X agent can use you can see tool bench to provide like this is another application that provides the list of different apis and it's a platform for providing you different ranges of API callings so that you can utilize it with within this collection now it also says that you can also easily add new tools to the tool server to enhance the capabilities you can see over here you're able to have and build upon this and you can see there's a build and setup tool server which is one of the action pieces to help improve the capabilities now we'll get to the next step of the video and showcase how you can install X agent now guys I highly recommend that you have at least 8 gabt of ram to actually run this otherwise it's not even feasible to run on your local desktop if you do not have that requirement if you do fulfill that we can move forward in the installation process you need to make sure that you have git installed which is an application that will help you clone this repository onto your desktop you'll need python as your code editor and you'll need Docker so once you have these three things fulfilled we can move forward with installation so what we'll need to do is first go on to the GitHub repository I'll leave all these links in the description below so that you can access it fairly easily now what you want to do is click on this green button once you're on the repository copy the link scroll down go onto the actual quick start command area open up your command prompt type in get clone paste the link and click enter I always mess this up in every video but once you have cloned the repository what you will need to do is copy this command CD tool server and this is where you're going to be going into the tool server and building the actual docker post for it now guys act after you install tool server and clone this repository you need to go into the folder and type in the command Docker compose up once this is done you're going to create the docker compose and once this is done you just need to build the docker image for Tool server and you're able to start this container once you have started up you can start running and setting up X agent this is by typing in PIP install our requirements now this is fairly easy you just go into the X agent file once you're inside paste this command pip install our requirements you're going to be able to start installing these requirements this might take a couple minutes to a couple seconds depending on your computer so once it has finished installing all the requirements you're able to start running it fairly easily now I'm going to be using visual studio code to show and execute how you can run different types of tasks so I'm going to load this up on Visual Studio code and I'll be right back now to start executing task you will need to open up your code editor or your ID that you can use in this case I'm going to use Visual Studio code so I'm going to open the folder up find where I basically cloned it open up X agent once you have done that you trust the authors you need to go on the configuration this is where you input your API keys for whatever model that you want to use in this case I'm going to be using GPT 3.5 so I'll put my key over here once I have used that or saved it I basically go and click save and you'll be able to start running it now once I have done that you need to go into the actual uh terminal and you need to copy this code over here in this case you have the run.py you can easily just run it off of here it's fairly easy but in this case if you want to give it a command as well as run the model that you want you will need to copy this code and select whatever model that you want to play with so what you can do is just uh create a new terminal I'm just gonna open this up a little bit so it's easily accessible so once I have created a new terminal you can easily just write paste this command in Python run.py you give it a task you put your model so in this case you can say uh create me a snake game and the model is right over here I'm going to use gp3 3.5 so I can put GPT 3.5 and click enter now I don't have my API key connected so it won't work but once I have inputed this it will start executing the task now in this case you can see that it's not going to be able to do this cuz I don't have my API key connected but it's easy as that guys once you have inputed your keys you're able to execute this task now another thing is is that you're able to run this agent with the GUI it's fairly easy and what you can do is go onto your command prompt go back into the actual X agent server once you're in that you basically just compose the docker up again once you have done that you just need to install the requirements that are needed install the python start server this is by basically starting the server up and you'll be able to access it on your local host and now guys it will look like this basically it's going to look like exactly like this you're going to you can see that you can input certain types of configurations you can give your input which is can you help me use python to analyze the given data you are able to upload this data and it will then give you a step-by-step analysis as to how it can graph it so in this case it gives you a good demonstration as to how it explains the data and it gives you a good use with python and that's basically a good example now let's actually take a look at a cool demo so we can get a better idea as to what you can actually do with xation in this case we have a demo relating to python on code in this case the input is I want to play a game of 24 and it basically then uses uh the plus sign minus sign multiplication division to get 24 using four numbers each number can be used only once please give me 10 examples of combinations of numbers that can get to 24 write the code and show me in this case it executes it it focuses on thoughts reasoning it gives it a plan and it also gives you criticism on what should be associated with the code generation and then uses the different tools and explains to you which tools that they actually use now I don't know about you guys but this is something that I've never seen with any other autonomous agent as it gives you a good breakdown as to how it's going to solve your answer or your input if you go down a little bit more it works forward into doing this 10 more times it has a task refinement which works on improving the task and it shows the Milestones that it took to basically achieve the input that was actually given now guys I want to end off on this last note where this diagram above is basically showcasing how X Agent X agent sorry outperforms the basic GPT models in different tested areas we can see that it has been able to outperform autog gbt as well in different like areas it fully beats uh autog gbt in data analysis it beats it in math you have search and Reporting life assistant as well as in coding and developing which is really really impressive now it not only beats it with auto gbt but it's able to beat it with gbts for on EX existing AI benchmarks it's able to do this in many different areas with fresh QA which are fresh question answers you have different metrics as to how it's able to Benchmark autonomous AI agents now this is really impressive as to how it's able to comp like basically compare with these different models as well as different AI agents now I highly recommend that you check this blog post out as it gives you more details as to how they're basically able to achieve this gives you a good understanding as to its framework and goes further more in detail about X agent now if you're interested I'll leave all these links in the description below but guys in conclusion this is quite an intricate application and as it's an autonomous agent for complex task solving so if you're interested in this I'll leave all these links in the description below so that you can access it fairly easily but thank you guys so much for watching I really really appreciate it guys all the support that you guys have been giving me make sure you check out the patreon page you want to access our private Discord definitely give world of AI a follow if you guys haven't on Twitter and lastly make sure you guys subscribe turn notification Bell like this video and check out our previous videos so you can stay up to date with the latest AI news with that thought let's get all let's get to the next step of the video but thank you guys so much for watching if you are interested definitely subscribe I'll see you guys next time have an amazing day stay positive and see you soon guys by

Channel: WorldofAI

Views: 15,060

Keywords: artificial intelligence, ai agents, machine learning, xagent, x agent, autogen, microsoft, microsoft ai, autogen ai, autonomous ai, ai agent, superagi, autogpt, babyagi, superagent, XAgent, AI Development, Autonomous Agents, General-Purpose Agent, Future of AI, Versatile AI, auto gen, autonomous agents, ai, chatgpt, chat gpt, open ai, openai, llm, autogen microsoft, promptflow, autogen step by step guide, rivet.ai, rivet ai, rivet, best autonomous ai agents, open-source ai

Id: X6dna0O6pCw

Length: 15min 39sec (939 seconds)

Published: Thu Oct 19 2023