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
52 lines
1.8 KiB
JavaScript
52 lines
1.8 KiB
JavaScript
// Slide 08: ChatPromptTemplate -- from_messages + variables
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// Code slide: declarative prompt construction with placeholders.
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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: 'Prompts',
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title: 'ChatPromptTemplate -- декларативно',
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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/prompt_basic.py',
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code: [
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'from langchain_core.prompts import ChatPromptTemplate',
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'from langchain.chat_models import init_chat_model',
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'',
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'prompt = ChatPromptTemplate.from_messages([',
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' ("system", "Translate the following text to {language}."),',
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' ("human", "{text}"),',
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'])',
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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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'# .invoke() принимает dict и подставляет переменные',
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'messages = prompt.invoke({"language": "French", "text": "Hello world"})',
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'print(messages.to_messages())',
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'',
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'# -> [SystemMessage(...), HumanMessage(...)] -- готов к model.invoke()',
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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: 'Кортежи ("role", "text") -- шорткат. Для сложного контента передавайте Message-объекты.',
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});
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ds.helpers.addSourceLine(slide, pres, theme, {
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source: 'python.langchain.com/docs/concepts/prompt_templates/',
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});
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ds.helpers.addPageNumber(slide, pres, theme, 8);
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}
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module.exports = { createSlide }; |