petya
75601988c2
- 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
53 lines
1.7 KiB
JavaScript
53 lines
1.7 KiB
JavaScript
// Slide 06: Messages -- HumanMessage, AIMessage, SystemMessage, ToolMessage
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// Code slide: the message contract, how to build multi-turn prompts.
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const ds = require('./design-system');
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function createSlide(pres, theme) {
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const slide = pres.addSlide();
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ds.helpers.slideBase(slide, pres, theme);
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ds.helpers.addHeader(slide, pres, theme, {
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eyebrow: 'STAGE 1: CHAINS',
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section: 'Messages',
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title: 'Стандартизированные сообщения',
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sectionNumber: 1,
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});
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ds.helpers.addCodeBlock(slide, pres, theme, {
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x: 0.5, y: 1.5, w: 9.0, h: 3.25,
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language: 'python',
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filePath: 'examples/messages.py',
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code: [
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'from langchain.messages import (',
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' HumanMessage, AIMessage, SystemMessage, ToolMessage,',
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')',
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'from langchain.chat_models import init_chat_model',
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'',
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'model = init_chat_model("openai:gpt-4.1-mini")',
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'',
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'messages = [',
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' SystemMessage(content="You are a concise assistant."),',
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' HumanMessage(content="What is LCEL?"),',
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' AIMessage(content="LCEL = pipe-based composition in LangChain."),',
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' HumanMessage(content="Show a one-line example."),',
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']',
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'',
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'response = model.invoke(messages)',
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'print(response.content)',
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].join('\n'),
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});
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ds.helpers.addCallout(slide, pres, theme, {
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x: 0.5, y: 4.85, w: 9.0, h: 0.3,
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kind: 'info',
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text: 'С v1.0 контент -- стандартизированные content blocks: reasoning traces, citations, tool_call блоки.',
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});
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ds.helpers.addSourceLine(slide, pres, theme, {
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source: 'python.langchain.com/docs/concepts/messages/',
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});
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ds.helpers.addPageNumber(slide, pres, theme, 6);
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}
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module.exports = { createSlide }; |