Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Pydantic AI Agents: NEW Multi-Agent Framework 📚 Step-by-step Hands-on Tutorial 🔍 How to Install PydanticAI? 🛠️ What Models are Supported? Used Groq Inc 🎯 How to Create First Agent? ⚡ How to Add Custom Tools? 🔌 Built-in validation 🎮 How it differs from CrewAI or AutoGen? Pydantic Samuel Colvin...

26,723 görüntüleme • 1 yıl önce •via X (Twitter)

9 Yorum

Mervin Praison profil fotoğrafı
Mervin Praison1 yıl önce

Subscribe YouTube for more :

Saïd Aitmbarek profil fotoğrafı
Saïd Aitmbarek1 yıl önce

@GroqInc super bullish on agents, gonna give it a try as i'm currently turning @microlaunchhq v2 into agentic

Matt Tessar profil fotoğrafı
Matt Tessar1 yıl önce

@jxnlco @GroqInc @MervinPraison can agents call other agents in PydanticAI, or just other tools?

Hassan Al-Farhan profil fotoğrafı
Hassan Al-Farhan1 yıl önce

@GroqInc Looks like a comprehensive tutorial! Can't wait to dive in and learn more about Pydantic AI Agents

Pierre SOREL profil fotoğrafı
Pierre SOREL1 yıl önce

@GroqInc If you're exploring multi-agent frameworks, check out BrainSoup for its seamless experience with personalized agents and strong data privacy features. It might provide additional flexibility for your projects!

Markus Odenthal profil fotoğrafı
Markus Odenthal1 yıl önce

@GroqInc Really cool introduction. Perfect for structured data projects. Love also the clean interface.

Tendies Of Wisdom | Practical Nuggets Of Insight profil fotoğrafı
Tendies Of Wisdom | Practical Nuggets Of Insight1 yıl önce

@GroqInc This looks fantastic for well defined outputs that can likely run with smaller tool use models. For unstructured data and simple agent workflows, I recommend:

Tendies Of Wisdom | Practical Nuggets Of Insight profil fotoğrafı
Tendies Of Wisdom | Practical Nuggets Of Insight1 yıl önce

@GroqInc More pydantic background:

sky2008 profil fotoğrafı
sky20081 yıl önce

@GroqInc great sharing, i live your video.

Benzer Videolar

How to setup a multi agent system? Bookmark it 📂 "The Trading Floor" Multi-Agent Market Analysis Council to analyze a stock ticker Z.ai GLM-4.7 🤝 OpenCode Agent framework: CrewAI How it works? 1. User enters a stock ticker to analyze 2. 5 AI agents wake up, each with distinct expertise: - Quant Analyst — technical indicators & price patterns - Sentiment Scout — market mood & crowd psychology - Macro Strategist — sector dynamics & economic context - Risk Manager — volatility, drawdowns & position sizing - Portfolio Chief — synthesizes all perspectives 3. Agents analyze independently using real market data 4. They debate, challenge assumptions, and identify disagreements 5. Portfolio Chief resolves conflicts and delivers a consensus recommendation 6. Final output: buy/hold/sell rating with confidence level, position size, and key risks How to built The Trading Floor? 1. Chose CrewAI as the agent framework — handles multi-agent orchestration out of the box 2. Defined 5 agents with distinct roles, goals, and backstories in Python 3. Built custom tools wrapping yfinance for real market data (prices, indicators, volatility) 4. Configured sequential workflow — specialists analyze first, Portfolio Chief synthesizes last 5. Set up FastAPI backend with SSE to stream agent thoughts in real-time 6. Built Next.js frontend to visualize the "board of directors" deliberating live 7. One environment variable (MODEL=openai/gpt-5.2) powers all agents 8. Generated unique agent icons with AI image tools Total cost: $0 for the framework, pay only for LLM API calls Tech stack: - GLM-4.7 with opencode to build the app - CrewAI (open source) for agent orchestration - GPT-5.2 powering each agent - FastAPI + SSE for real-time streaming - Next.js frontend showing live agent deliberations

CloudAI-X

57,703 görüntüleme • 6 ay önce