Masterclass: Using PydanticAI for Creating Multi-Agent Flows
Let's build something cool with PydanticAI and Logfire. Join the conversation at [ Ссылка ]
Welcome to our comprehensive masterclass on using PydanticAI to create efficient multi-agent flows! In this video, we'll dive deep into the powerful capabilities of Pydantic AI and demonstrate how you can leverage it to build robust and scalable multi-agent systems.
PydanticAI is a brand-new agent framework, which may be the easiest, most-straightforward way to building agents. Don't buy the hype? Let's dive in!
Masterclass Series:
▶️ Part 1: The Best Agent Framework Has Arrived (Coding Tutorial for PydanticAI w/ OpenAI, Ollama, AzureOpenAI) - [ Ссылка ]
▶️ Part 2: Part 2: From Chaos to Clarity: LLM Tracing with Logfire and PydanticAI (Coding Tutorial)
- [ Ссылка ]
In this step-by-step tutorial, I’ll show you how to get started with building agents with PydanticAI - a powerful, open-source framework, coming from the team that built Pydantic.
What agents are you building? Join the conversation at [ Ссылка ]
What You'll Learn:
✅ Introduction to Pydantic AI:
Overview of Pydantic AI and its key features.
Why Pydantic AI is ideal for multi-agent systems.
Setting Up Your Environment:
✅ Step-by-step guide to installing and configuring PydanticAI. Essential tools and libraries you'll need.
✅ Creating Basic Agents:
Defining agent behaviors and interactions
Writing your first agent using PydanticAI
✅ Building Multi-Agent Flows:
Designing complex workflows with multiple agents
Coordinating agent actions and communications
✅ Advanced Topics:
Handling agent failures and recovery
Optimizing performance and scalability
Real-World Applications:
Case studies and examples of PydanticAI in action
Best practices for deploying multi-agent systems in production
🔗 Links & Resources:
PydanticAI: [ Ссылка ]
GitHub repo: [ Ссылка ]
Discord server: [ Ссылка ]
💻 Stay Connected:
Subscribe to our channel for more tutorials and updates.
Like and Share this video if you found it helpful.
Comment below with any questions or topics you'd like us to cover next.
Timecodes:
00:00 - Introduction
00:26 - Masterclass scope
00:47 - GitHub repo
00:58 - Discord server
01:14 - Examples
01:48 - Unique features
02:38 - What is PydanticAI?
02:57 - How it works
03:18 - Python everywhere
03:32 - Features
05:08 - Coding tutorials
05:18 - Hello, World!
08:00 - OpenAI model
10:02 - Ollama model
11:45 - AzureOpenAI model
13:12 - Multi-model agents
16:12 - Summary
#ai #openai #pydantic #ollama #pydanticai #mistral #pixtral #llm #developer #software #tutorial #genai #llama #local #private #chatgpt
