Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.

#507: Agentic AI Workflows with LangGraph

June 02, 2025 01:03:59 61.71 MB Downloads: 0
If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has learned at that point. And frameworks provide all the necessary building blocks to weave these into your apps with features like long-term memory and durable resumability. I'm excited to have Sydney Runkle back on the podcast to dive into building Python apps with LangChain and LangGraph.

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Links from the show

Sydney Runkle: linkedin.com
LangGraph: github.com
LangChain: langchain.com
LangGraph Studio: github.com
LangGraph (Web): langchain.com
LangGraph Tutorials Introduction: langchain-ai.github.io
How to Think About Agent Frameworks: blog.langchain.dev
Human in the Loop Concept: langchain-ai.github.io
GPT-4 Prompting Guide: cookbook.openai.com
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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