Self-reflecting AI Agents with LangGraph and Responses API ๐Ÿง 

Marlene Mhangami ยท Beginner ยท๐Ÿค– AI Agents & Automation ยท1y ago
In this video we will build a self-reflecting product marketing agent using LangGraph. In building this agent we will also test out the new OpenAI Responses API to access the web search and file search tools. Tutorial Code: https://github.com/marlenezw/langgraph-reflection-product-marketer LangGraph Reflection repo: https://github.com/langchain-ai/langgraph-reflection Code Inspired by Creative Writer Sample I maintain here: https://github.com/Azure-Samples/contoso-creative-writer
Watch on YouTube โ†— (saves to browser)
Sign in to unlock AI tutor explanation ยท โšก30

Related AI Lessons

โšก
How 6 AI agents write a single blog post (and why
Learn how 6 AI agents collaborate to write a single blog post, increasing diversity and reducing repetition
Dev.to AI
โšก
PII Redaction for AI Agents: Why It Can't Be an Afterthought
Learn why PII redaction is crucial for AI agents and how to implement it effectively to prevent data leaks
Dev.to AI
โšก
Why I Built a $5/Month Alternative to ChatGPT (After Getting Burned by $20/Month Subscriptions)
Learn how to build a cost-effective alternative to ChatGPT and save on monthly subscriptions
Dev.to AI
โšก
The Future of Physical AI Isnโ€™t Smarter Robots, Itโ€™s Smarter Interfaces
The future of physical AI lies in smarter interfaces, enabling humans to interact with devices more efficiently in various environments
IEEE Spectrum
Up next
Complete Agentic AI Course In 10 Hours- Langchain, Langgraph, RAG,Vectorless RAG, Guardrails,Evals
Krish Naik
Watch โ†’