How to Build AI Agents with PydanticAI (Python Tutorial)

[@daveebbelaar]

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[@AnthonyAlcerro-v6d]

We need a full tutorial on how to do evals 🙏

[@daveebbelaar]

Noted!

[@IdPreferNot1]

Love that you chose to do a video on this. I wouldnt bet against Pydantic and see this a an even better version of Swarm.

[@juanantonionavarrojimenez2966]

The evaluation is perfect. That's the way. Thanks.

[@eneskosar4649]

Very informative Dave, thanks for all the work. You're the best

[@RobShocks]

Great breakdown. I'm all for less abstraction. Having been in JS world for years there are so many frameworks and tools coming out just for the sake of it. Focus on the problem, reverse engineer and pick the right tool. In many cases you don't need the chainsaw to top a pencil.

[@daveebbelaar]

Exactly!

[@rembautimes8808]

Great video and thanks for sharing. I think having a leaner stack is better because it’s quite easy for a big stack to introduce dependency conflicts. Also Pydantic’s integration with FastAPI is awesome 😂

[@jordan-kz3rx]

Thank you man, this knowledge is really valuable and presented so well.

[@kenchang3456]

Thanks for all the information I appreciate it.

[@PriyankBolia]

Please use bigger fonts like other channels, sometimes I use a laptop to watch, and its hard to read.

[@daveebbelaar]

Noted!

[@jirivchi]

thanks for all your content! it is very informative and helpful

[@daveebbelaar]

Thanks!

[@silver1544]

Thanks for your review! What would you recommend to use instead of PydanticAI at the moment (until it's matured)? Just using plain API?

[@Kivalt]

Does it integrate with OpenRouter?

[@chefzieher]

Great video! I like that you are using the interactive execution in vscode/cursor. How do you debug that code? (I didn't figure that out yet)

[@daveebbelaar]

The interactive mode is great for debugging as well as you can just go line by line and execute your code.

[@khandelwal0shekhar0]

Dave I really want to know your take on phidata ?

[@heheeheh9711]

Hoow is this Agentic Framework comapred to phidata Framework???

[@heheeheh9711]

or AUTOGEN

[@artursradionovs9543]

Does PydanticAI support local running LLM’s?

[@aristidefumagalli5100]

Yes OpenAI compatible endpoint

[@PriyankBolia]

How does it compare to langchain?

[@daveebbelaar]

LangChain is an entire ecosystem. PydanticAI is a really lean framework for solving specific problems around data validation for LLMs. I prefer this leaner, more simple approach.

[@TheOrionMusicNetwork]

Skip langchain bro. Trust me. You don't need that pain in your life.

[@daveebbelaar]

@@TheOrionMusicNetwork 😂

[@PriyankBolia]

@@daveebbelaar Any specific reasons? problems you faced. Trying learning langraph

[@daveebbelaar]

@@PriyankBolia LangChain’s ecosystem feels overly complex for me. I’ve faced versioning issues and had to dig through multiple abstraction layers to debug unimplemented features, which made troubleshooting a headache. I’d rather build lightweight, purpose-driven components from scratch. Avoiding frameworks helps keep my projects simpler, faster, and free of unnecessary dependencies.

[@IdPreferNot1]

I thought llms loved json structure. Cool markdown utility function but why needed?

[@daveebbelaar]

It depends on the model. Claude prefers XML while OpenAI prefers Markdown or JSON. With small JSON files, it doesn't really matter, but we've found that the model can sometimes miss information with big nested JSON files. As with anything, you can test and compare for your use case to see if you really need the Markdown conversion. I've also found that Markdown is easier to debug when you're looking at it in your observability platform (like Langfuse). It's even more human readable than JSON. Hope that helps.

[@IdPreferNot1]

@@daveebbelaar thank you!

[@micbab-vg2mu]

THANKS :)

[@daveebbelaar]

I can always count on you! 💪🏻