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
67 lines
1.9 KiB
JavaScript
67 lines
1.9 KiB
JavaScript
// Slide 12: TypeScript SDK + final ecosystem pros/cons
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// Two-column: code on left, pros/cons on right.
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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 5: ECOSYSTEM',
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section: 'Итоги',
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title: 'TypeScript SDK и плюсы/минусы',
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sectionNumber: 5,
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titleSize: 24,
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});
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// Left code block -- TypeScript SDK
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ds.helpers.addCodeBlock(slide, pres, theme, {
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x: 0.5, y: 1.45, w: 5.5, h: 3.1,
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language: 'typescript',
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fontSize: 10,
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code: [
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'import { Client, traceable } from "langsmith";',
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'',
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'const client = new Client();',
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'',
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'// @traceable decorator -- точно как в Python',
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'const retrieve = traceable(',
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' async function retrieve(query: string) {',
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' return vectorStore.similaritySearch(query, 4);',
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' },',
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' { name: "retrieve_docs", runType: "retriever" }',
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');',
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'',
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'// run_on_dataset для eval -- тоже есть',
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'await client.runOnDataset(',
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' "rag-qa-eval-v1", target,',
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' { evaluators: [answerMatch] }',
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');',
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].join('\n'),
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});
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// Right pros/cons panel
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ds.helpers.addProsCons(slide, pres, theme, {
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x: 6.2, y: 1.45, w: 3.3, h: 3.1,
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pros: [
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'Auto-tracing из коробки',
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'Eval = CI/CD для промптов',
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'Platform = deploy за минуты',
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'Self-hosted опция',
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],
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cons: [
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'LangSmith SDK 0.x',
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'Cloud растет в цене',
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'Self-hosted требует K8s',
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],
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});
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ds.helpers.addSourceLine(slide, pres, theme, {
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source: 'github.com/langchain-ai/langsmith-sdk + langgraph-sdk README',
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});
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ds.helpers.addPageNumber(slide, pres, theme, 12);
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}
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module.exports = { createSlide };
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