The Best Agent Framework Has Arrived (Coding Tutorial for PydanticAI w/ OpenAI, Ollama, AzureOpenAI)
Masterclass: Using PydanticAI for Creating Multi-Agent Flows
Let's build something cool with PydanticAI and Logfire. Join the conversation at / discord
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 ...
▶️ Part 2: • From Chaos to Clarity: LLM Tracing wi...
▶️ Part 3: • 100% Reliable LLM Outputs with Struct...
▶️ Part 4: Mastering System Prompts in PydanticAI: The Ultimate Guide (Developer Coding Tutorial)
▶️ Part 5: Build More Effective Agents with Function Tools in PydanticAI (Developer Tutorial)
▶️ Part 6: Improve the Accuracy of AI Agents with Result Validator Functions (Developer Tutorial)
▶️ Part 7: Simplify Agent Workflows with Dependency Injection in PydanticAI (Developer Tutorial)
▶️ Part 8: Advanced Retry Strategies for High-Performance AI Agents in PydanticAI (Developer Tutorial)
▶️ Part 9: Better Context Retention with Agent Memory in PydanticAI (Developer Tutorial)
▶️ Part 10: Building Resilient Agents: Best Practices for Handling Model Errors in PydanticAI (Developer Tutorial)
▶️ Part 11: Better User Experience with Streaming Outputs in PydanticAI (Developer Tutorial)
▶️ Part 12: Achieving Precision and Efficiency with Advanced Model Settings (Developer Tutorial)
▶️ Part 13: Multi-Model Agents in PydanticAI: Unlocking Next-Gen AI Capabilities (Developer Tutorial)
▶️ Part 14: Mastering RAG in PydanticAI: Better AI Agents with Real-Time Data (Developer Tutorial)
▶️ Part 15: Masterclass Final Project: AI Resume Writing with Multiple Agents (Developer Tutorial)
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 / discord
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: https://ai.pydantic.dev
GitHub repo: https://github.com/aidev9/tuts/tree/m...
Discord server: / discord
💻 Stay Connected:
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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
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