<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Langchain on Fernando Hermida</title><link>https://www.fernandohermida.com/tags/langchain/</link><description>Recent content in Langchain on Fernando Hermida</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 10 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.fernandohermida.com/tags/langchain/index.xml" rel="self" type="application/rss+xml"/><item><title>Hello World, LangChain</title><link>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/01-hello-world-langchain/</link><pubDate>Sat, 25 Jul 2026 00:00:00 +0000</pubDate><guid>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/01-hello-world-langchain/</guid><description>A first LangChain chain, from prompt template to LCEL pipe, with a local model swap, response inspection, tests, type-checking, and tracing added around it.</description></item><item><title>Agent Loops in Python</title><link>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/02-agent-loops-in-python/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/02-agent-loops-in-python/</guid><description>What actually happens between an LLM call and a tool call: the read-act-observe loop that turns a plain language model into an agent.</description></item><item><title>Tool Calling with LangChain</title><link>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/03-tool-calling-with-langchain/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/03-tool-calling-with-langchain/</guid><description>How create_agent and the @tool decorator collapse a hand-rolled tool-calling loop into a few lines, and what that trade-off actually costs you.</description></item><item><title>Structured Output as a Guardrail</title><link>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/07-structured-output-as-a-guardrail/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><guid>https://www.fernandohermida.com/posts/agentic-ai-engineering-journey/07-structured-output-as-a-guardrail/</guid><description>How binding a Pydantic schema to a model or agent turns a probably-shaped response into a validated object, and what still isn&amp;rsquo;t guaranteed once it is.</description></item></channel></rss>