Exercise: Fill a Prompt Template

Will this tutorial be updated for LangChain v1?

Thanks for asking, @Abhinav Bijish. LangChain 1.0 did go generally available back in October 2025 (it’s on the 1.x line now), so it’s a fair thing to wonder about.

The good news is that the core building blocks this course teaches still work on LangChain v1. I tested them on the latest release (langchain 1.3), and prompt templates behave exactly as shown in these lessons:

from langchain_core.prompts import ChatPromptTemplate

template = ChatPromptTemplate.from_template("Tell me a {adjective} joke about {topic}.")
template.invoke({"adjective": "funny", "topic": "chickens"})

The chaining parts hold up too. ChatOpenAI from langchain_openai, the LCEL pipe syntax (prompt | model | parser), and StrOutputParser all still work the same way, so you can follow along on a current install without changes.

The larger v1 changes land in areas this intro course doesn’t cover. They mostly affect agents (the new create_agent built on LangGraph) and the older chain helpers like LLMChain, which have moved to a separate langchain-classic package. If you’re curious, the official migration guide has the details.

As for a formal refresh, I can’t promise a timeline, but I’ll pass your question along to the rest of the team so we can review the course against v1.