Files
petya 75601988c2 Initial commit: LangChain evolution tutorial deck (132 slides)
- Cover, TOC, 5 dividers, 3 recap slides
- 5 sections (chains, langgraph, deepagents, openswe, ecosystem)
- design-system.js with theme tokens + 9 helper functions
- research/: timeline + sources + per-tech notes
- final-compile.js + merge.js for rebuild pipeline
- output/: langchain-evolution.pptx (2.3 MB) + langchain-evolution.pdf (1.1 MB) + 7 sample previews
2026-06-22 11:29:03 +03:00

56 lines
1.9 KiB
JavaScript

// Slide 13: LCEL -- the pipe operator and the Runnable protocol
// Code slide: every component is a Runnable, | composes them.
const ds = require('./design-system');
function createSlide(pres, theme) {
const slide = pres.addSlide();
ds.helpers.slideBase(slide, pres, theme);
ds.helpers.addHeader(slide, pres, theme, {
eyebrow: 'STAGE 1: CHAINS',
section: 'LCEL',
title: '| -- декларативная композиция',
sectionNumber: 1,
});
ds.helpers.addCodeBlock(slide, pres, theme, {
x: 0.5, y: 1.5, w: 9.0, h: 3.25,
language: 'python',
filePath: 'examples/lcel_intro.py',
code: [
'from langchain_core.prompts import ChatPromptTemplate',
'from langchain_core.output_parsers import StrOutputParser',
'from langchain.chat_models import init_chat_model',
'',
'prompt = ChatPromptTemplate.from_messages([',
' ("system", "You are a {style} assistant."),',
' ("human", "{question}"),',
'])',
'model = init_chat_model("openai:gpt-4.1-mini")',
'',
'# prompt, model, parser -- все три реализуют Runnable',
'# Оператор | склеивает их в один chain',
'chain = prompt | model | StrOutputParser()',
'',
'# type(chain) -> RunnableSequence',
'print(type(chain).__name__)',
'',
'# invoke -> dict на вход, str на выход',
'print(chain.invoke({"style": "concise", "question": "What is LCEL?"}))',
].join('\n'),
});
ds.helpers.addCallout(slide, pres, theme, {
x: 0.5, y: 4.85, w: 9.0, h: 0.3,
kind: 'success',
text: 'Runnable -- единый контракт: invoke / batch / stream / ainvoke / abatch / astream / async stream.',
});
ds.helpers.addSourceLine(slide, pres, theme, {
source: 'python.langchain.com/docs/concepts/lcel/',
});
ds.helpers.addPageNumber(slide, pres, theme, 13);
}
module.exports = { createSlide };