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
57 lines
2.2 KiB
JavaScript
57 lines
2.2 KiB
JavaScript
// Slide 11: PydanticOutputParser -- structured output via Pydantic schema
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// Code slide: Pydantic model -> parser -> validated instance.
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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: 'PydanticOutputParser -- типизированный выход',
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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/parser_pydantic.py',
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code: [
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'from pydantic import BaseModel, Field',
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'from langchain_core.prompts import ChatPromptTemplate',
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'from langchain_core.output_parsers import PydanticOutputParser',
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'from langchain.chat_models import init_chat_model',
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'',
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'class MovieReview(BaseModel):',
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' title: str = Field(description="Movie title")',
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' rating: int = Field(description="Rating from 1 to 10")',
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' summary: str = Field(description="One-sentence summary")',
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'',
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'parser = PydanticOutputParser(pydantic_object=MovieReview)',
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'',
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'prompt = ChatPromptTemplate.from_messages([',
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' ("system", "Extract review fields.\\n{format_instructions}"),',
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' ("human", "{review_text}"),',
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']).partial(format_instructions=parser.get_format_instructions())',
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'',
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'chain = prompt | init_chat_model("openai:gpt-4.1-mini") | parser',
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'review = chain.invoke({"review_text": "Inception was brilliant. 9/10."})',
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'print(review.title, review.rating, review.summary)',
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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: 'success',
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text: 'В v1.0 рекомендуется model.with_structured_output(Schema) -- он использует tool calling и точнее.',
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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/pydantic_output_parser/',
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});
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ds.helpers.addPageNumber(slide, pres, theme, 11);
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}
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module.exports = { createSlide }; |