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
54 lines
2.1 KiB
JavaScript
54 lines
2.1 KiB
JavaScript
// Slide 12: with_structured_output -- the recommended v1.0 way
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// Code slide: model.with_structured_output(Schema) instead of legacy parsers.
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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: 'Output parsers',
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title: 'with_structured_output -- рекомендованный путь',
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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/structured.py',
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code: [
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'from pydantic import BaseModel, Field',
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'from langchain.chat_models import init_chat_model',
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'',
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'class Weather(BaseModel):',
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' city: str = Field(description="City name")',
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' temperature_c: float = Field(description="Temperature in Celsius")',
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' conditions: str = Field(description="Weather summary")',
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'',
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'# Один вызов -- и модель возвращает типизированный Pydantic-объект',
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'model = init_chat_model("openai:gpt-4.1-mini")',
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'structured = model.with_structured_output(Weather)',
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'',
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'result: Weather = structured.invoke("Weather in Paris?")',
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'print(result.city, result.temperature_c, result.conditions)',
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'',
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'# method="json_mode" -- если провайдер не поддерживает tool calling',
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'# structured_json = model.with_structured_output(Weather, method="json_mode")',
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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: 'Под капотом: tool calling или provider-native JSON mode. Без extra LLM-вызовов, в один проход.',
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});
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ds.helpers.addSourceLine(slide, pres, theme, {
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source: 'python.langchain.com/docs/how_to/structured_output/',
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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 }; |