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Talk Python To Me

#543: Deep Agents: LangChain's SDK for Agents That Plan and Delegate

Talk Python To Me

Michael Kennedy

Technology

4.8642 Ratings

🗓️ 1 April 2026

⏱️ 64 minutes

🧾️ Download transcript

Summary

When you type a question into ChatGPT, the model only has what you typed to work with. But tools like Claude Code can plan, iterate, test, and recover from mistakes. They work more like we do. The difference is the agent harness: Planning tools, file system access, sub-agents, and carefully crafted system prompts that turn a raw LLM into something genuinely capable. Sydney Runkle is back on Talk Python representing LangChain and their new open source library, Deep Agents: A framework for building your own deep agents with plain Python functions, middleware hooks, and MCP support. This is how the magic works under the hood.

Transcript

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0:00.0

When you type a question in the chat GPT, the model only has what you typed to work with.

0:05.1

But tools like Claude Code can plan, iterate, test, and recover from mistakes.

0:09.3

They work more like we do.

0:10.5

The difference is the agent harness.

0:13.1

Planning tools, file system access, subagents, and carefully crafted system prompts that turn

0:18.4

raw LLMs into something genuinely capable.

0:22.6

Sidney Rinkle is back on Talk Python from Langchain to talk about their new open source

0:27.1

library deep agents, a framework for building your own deep agents with plain Python functions,

0:32.7

middleware hooks, and MCP support. This is a framework that allows you to build tools

0:37.3

similar to clog code. This is Talk PythonMe, episode 543, R2P support. This is a framework that allows you to build tools similar to clog code.

0:39.0

This is Talk Python, Me.

0:40.0

Episode 543 recorded February 19th, 20206.

0:46.1

Talk Python to me, yeah, we ready to roll.

0:49.1

Upgrading the code.

0:50.4

No fear of getting old.

0:51.8

They sink in the air.

0:53.1

New frameworks in sight, geeky rap on deck.

0:56.0

Quark crew, it's time to unite.

0:58.0

We started in pyramid, cruising old school lanes, had that stable base, yes, sir.

1:02.0

Welcome to Talk Python,

1:04.0

podcast for developers and data scientists.

1:07.0

This is your host, Michael Kennedy.

...

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