Introducing Pydantic AI Agentic Framework|How To Build LLM Agents with Pydantic AI|Part1

Описание к видео Introducing Pydantic AI Agentic Framework|How To Build LLM Agents with Pydantic AI|Part1

Why Pydantic AI:
Pydantic makes it easy to add tools, maintain a state variable between tools and returns a structured output.

Building Blocks of Pydantic Agents
System prompt: Instructions & Information to LLM.
Structured result type: Output structure expected from Agent
Dependencies: Provides the context for the Agents to use
Optional LLM model & Model Settings

The code for supporting notebook is present in the below git repo
https://github.com/insightbuilder/cod...

You can reach for discovery call at
https://topmate.io/insightbuilder

chapter:
0:00 Intro
0:14 Why Pydantic AI
2:15 Building Blocks of Pydantic AI
3:35 Reviewing Code
4:10 Pydantic AI Environment Setup
5:20 Basic Pydantic Agent Demo
6:10 Code Walkthrough
8:40 How Context Works
9:20 Recap

PS: Got a question or have a feedback on my content. Get in touch
By leaving a Comment in the video

Want to Consult? Feel free to book a short call with me.
https://cal.com/insight-kamalraj

Buy me a Coffee
https://ko-fi.com/insightbuilder

@mail [email protected]
@github https://github.com/Kamalabot

Комментарии

Информация по комментариям в разработке