AUTOGEN STUDIO : The Complete GUIDE (Build AI AGENTS in minutes)
ฝัง
- เผยแพร่เมื่อ 14 ก.ค. 2024
- The full guide to get started with Autogen Studio, Create Powerful AI Agents in a couple of minutes with real life projects.
_______ 👇 Links 👇 _______
lmstudio.ai/
🤝 Discord: / discord
💼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻: / reda-marzouk-rpa
📸 𝗜𝗻𝘀𝘁𝗮𝗴𝗿𝗮𝗺: / redamarzouk.rpa
🤖 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: / @redamarzouk
www.automation-campus.com/
_______ 👇 Content👇 _______
00:00 Introduction to Agentic Workflows
00:30 Understanding the Core Components of AI Agents
02:01 Exploring Conversational Patterns in Workflows
03:58 Setting Up Autogen Studio for a Real-World Use Case
04:20 Installing Autogen Studio and Setting API Key
05:07 Launching Autogen Studio and Outlining the Use Case
06:04 Developing the Use Case: Reading an Invoice
08:06 Defining Skills and Models in Autogen Studio
10:02 Creating Agents and Workflow in Autogen Studio
12:16 Error occurred while processing message: api_key is not present in llm_config or OPENAI_API_KEY
15:55 Final Demonstration of the Workflow in Action
18:19 Conclusion - วิทยาศาสตร์และเทคโนโลยี
Finally a good tutorial on AG studio! Next suggested content: how to integrate AGS in a frontend able to manage input/output like text and files (pdf, images). For example:
external frontend > input (text) >> Autogen Studio flow >>> external frontend >>>> output (downloadable pdf with text and images inside).
#AutoGenStudioChallenge
Great content brother! You earned my SUB and thumbs up... I'm obsessed with AG. With the UI, it really helps me not having hardly any coding skills. Game changer. Thanks bub!
Thank you, it really means a lot 🙏🙏
As always, Bravo! Really interesting !
Thanks for sharing.
Thank you so much Amine, appreciate the kind words!!
Bravo well done incredible video I now understand auto-gen thanks for this🎉🎉🎉
Thank you for the appreciation 🙏
Superbe Mr Marzouk ! Merci.
You're most welcome 🙏🙏.
Et de rien.
great video as well as the troubleshooting
Appreciate it 🙏🙏
I like waht you did, but for no code people this is so hard because we dont know what we should install for windows etc.. really really nice video
isn't the purpose of the groupchat_assistant to decide the order? I think you need to write a prompt in the system message to describe the workflow and how the agents work together which includes the order.
Yes you can use the system message to give the logic which groupchat_assistant will follow to select the agents, the problem is when an agent can't fulfill its job because the code it has generated require a certain package to be downloaded or other issues. This forces groupchat_assistant of going back and forth between agents.
So unless you're going to lay out the whole logic in the system Message it's better not to fill it with a strict workflow to follow.
in general there are 3 components that help the groupchat_assistant in selecting agents and laying out the logic.
1. speaker selection method: this will define the way different agents are going to be called.
2. system message: as you said.
3. the context of the question itself since groupchat itself has a model that can understand and put a plan in place, this is what I've used in the video.
I test it only with userproxy and agent but still it sometimes stays unresponsible state
This is a nice video and very useful. In my applications I'm looking for the 'system' to have ALL the customer pdF Invoices uploaded, or better yet, as an SalesOrder table in a database. this seems like a lot of work for just one customer and one email. Is there a way to create Agents that could filter out which customer order? Etc.
You did a great video. How do you use Azure OpenAI credentials? Azure needs more than just the API key to work.
I think you just need to restart Visual Studio inorder for the Autogen to pickup the OPEN_API_KEY environment variable
Dear sir, can I use my local LLM models instead of OpenAI API?
what about langgraph for agents, any thoughts on it
I do not how to make it local not using openai keys no llm studio, just oobabooga self host
Do you do not explain alot..
You mean I explain lot or
I don't explain enough?
Using AI to send out crappy emails seems like such a waste of what AI is and will be.
You know Email marketing is a $7Bn industry. But the point is not what you're getting as an output. The idea is to understand how agents interact with with each other and how UserProxy and ChatManager send and receive tasks.
There were 2 different advanced use cases I wanted to show but creating them took too much time therefore I couldn't include them in an introductory video.
Also we always receive Thank You emails after a purchase, and this use case if connected to a database can be a great way to upsell a customer.
So if you think about it ain't that crappy after all.