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
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2026-06-22 11:29:03 +03:00
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// Slide 06: Messages -- HumanMessage, AIMessage, SystemMessage, ToolMessage
// Code slide: the message contract, how to build multi-turn prompts.
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: 'Messages',
title: 'Стандартизированные сообщения',
sectionNumber: 1,
});
ds.helpers.addCodeBlock(slide, pres, theme, {
x: 0.5, y: 1.5, w: 9.0, h: 3.25,
language: 'python',
filePath: 'examples/messages.py',
code: [
'from langchain.messages import (',
' HumanMessage, AIMessage, SystemMessage, ToolMessage,',
')',
'from langchain.chat_models import init_chat_model',
'',
'model = init_chat_model("openai:gpt-4.1-mini")',
'',
'messages = [',
' SystemMessage(content="You are a concise assistant."),',
' HumanMessage(content="What is LCEL?"),',
' AIMessage(content="LCEL = pipe-based composition in LangChain."),',
' HumanMessage(content="Show a one-line example."),',
']',
'',
'response = model.invoke(messages)',
'print(response.content)',
].join('\n'),
});
ds.helpers.addCallout(slide, pres, theme, {
x: 0.5, y: 4.85, w: 9.0, h: 0.3,
kind: 'info',
text: 'С v1.0 контент -- стандартизированные content blocks: reasoning traces, citations, tool_call блоки.',
});
ds.helpers.addSourceLine(slide, pres, theme, {
source: 'python.langchain.com/docs/concepts/messages/',
});
ds.helpers.addPageNumber(slide, pres, theme, 6);
}
module.exports = { createSlide };