refactor: improve block modularity on server (#758)
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711da0b94b
commit
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14 changed files with 419 additions and 259 deletions
73
blocks/code/server.ts
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73
blocks/code/server.ts
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import { z } from 'zod';
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import { streamObject } from 'ai';
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import { myProvider } from '@/lib/ai/models';
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import { codePrompt, updateDocumentPrompt } from '@/lib/ai/prompts';
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import { createDocumentHandler } from '@/lib/blocks/server';
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export const codeDocumentHandler = createDocumentHandler<'code'>({
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kind: 'code',
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onCreateDocument: async ({ title, dataStream }) => {
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let draftContent = '';
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const { fullStream } = streamObject({
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model: myProvider.languageModel('block-model'),
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system: codePrompt,
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prompt: title,
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schema: z.object({
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code: z.string(),
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}),
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});
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for await (const delta of fullStream) {
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const { type } = delta;
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if (type === 'object') {
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const { object } = delta;
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const { code } = object;
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if (code) {
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dataStream.writeData({
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type: 'code-delta',
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content: code ?? '',
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});
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draftContent = code;
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}
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}
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}
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return draftContent;
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},
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onUpdateDocument: async ({ document, description, dataStream }) => {
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let draftContent = '';
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const { fullStream } = streamObject({
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model: myProvider.languageModel('block-model'),
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system: updateDocumentPrompt(document.content, 'code'),
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prompt: description,
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schema: z.object({
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code: z.string(),
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}),
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});
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for await (const delta of fullStream) {
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const { type } = delta;
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if (type === 'object') {
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const { object } = delta;
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const { code } = object;
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if (code) {
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dataStream.writeData({
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type: 'code-delta',
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content: code ?? '',
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});
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draftContent = code;
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}
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}
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}
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return draftContent;
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},
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});
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54
blocks/image/server.ts
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54
blocks/image/server.ts
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@ -0,0 +1,54 @@
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import { myProvider } from '@/lib/ai/models';
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import { createDocumentHandler } from '@/lib/blocks/server';
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import { saveDocument } from '@/lib/db/queries';
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import { experimental_generateImage } from 'ai';
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export const imageDocumentHandler = createDocumentHandler<'image'>({
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kind: 'image',
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onCreateDocument: async ({ id, title, dataStream, session }) => {
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let draftContent = '';
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const { image } = await experimental_generateImage({
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model: myProvider.imageModel('small-model'),
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prompt: title,
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n: 1,
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});
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draftContent = image.base64;
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dataStream.writeData({
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type: 'image-delta',
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content: image.base64,
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});
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if (session?.user?.id) {
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await saveDocument({
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id,
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title,
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kind: 'image',
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content: draftContent,
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userId: session.user.id,
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});
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}
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return draftContent;
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},
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onUpdateDocument: async ({ description, dataStream }) => {
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let draftContent = '';
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const { image } = await experimental_generateImage({
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model: myProvider.imageModel('image-model'),
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prompt: description,
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n: 1,
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});
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draftContent = image.base64;
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dataStream.writeData({
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type: 'image-delta',
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content: image.base64,
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});
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return draftContent;
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},
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});
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78
blocks/sheet/server.ts
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78
blocks/sheet/server.ts
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@ -0,0 +1,78 @@
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import { myProvider } from '@/lib/ai/models';
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import { sheetPrompt, updateDocumentPrompt } from '@/lib/ai/prompts';
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import { createDocumentHandler } from '@/lib/blocks/server';
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import { streamObject } from 'ai';
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import { z } from 'zod';
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export const sheetDocumentHandler = createDocumentHandler<'sheet'>({
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kind: 'sheet',
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onCreateDocument: async ({ title, dataStream }) => {
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let draftContent = '';
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const { fullStream } = streamObject({
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model: myProvider.languageModel('block-model'),
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system: sheetPrompt,
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prompt: title,
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schema: z.object({
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csv: z.string().describe('CSV data'),
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}),
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});
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for await (const delta of fullStream) {
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const { type } = delta;
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if (type === 'object') {
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const { object } = delta;
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const { csv } = object;
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if (csv) {
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dataStream.writeData({
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type: 'sheet-delta',
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content: csv,
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});
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draftContent = csv;
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}
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}
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}
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dataStream.writeData({
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type: 'sheet-delta',
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content: draftContent,
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});
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return draftContent;
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},
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onUpdateDocument: async ({ document, description, dataStream }) => {
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let draftContent = '';
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const { fullStream } = streamObject({
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model: myProvider.languageModel('block-model'),
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system: updateDocumentPrompt(document.content, 'sheet'),
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prompt: description,
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schema: z.object({
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csv: z.string(),
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}),
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});
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for await (const delta of fullStream) {
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const { type } = delta;
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if (type === 'object') {
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const { object } = delta;
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const { csv } = object;
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if (csv) {
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dataStream.writeData({
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type: 'sheet-delta',
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content: csv,
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});
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draftContent = csv;
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}
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}
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}
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return draftContent;
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},
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});
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@ -12,7 +12,7 @@ import {
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} from '@/components/icons';
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import { Suggestion } from '@/lib/db/schema';
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import { toast } from 'sonner';
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import { getSuggestions } from './actions';
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import { getSuggestions } from '../actions';
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interface TextBlockMetadata {
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suggestions: Array<Suggestion>;
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70
blocks/text/server.ts
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70
blocks/text/server.ts
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@ -0,0 +1,70 @@
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import { smoothStream, streamText } from 'ai';
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import { myProvider } from '@/lib/ai/models';
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import { createDocumentHandler } from '@/lib/blocks/server';
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import { updateDocumentPrompt } from '@/lib/ai/prompts';
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export const textDocumentHandler = createDocumentHandler<'text'>({
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kind: 'text',
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onCreateDocument: async ({ title, dataStream }) => {
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let draftContent = '';
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const { fullStream } = streamText({
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model: myProvider.languageModel('block-model'),
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system:
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'Write about the given topic. Markdown is supported. Use headings wherever appropriate.',
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experimental_transform: smoothStream({ chunking: 'word' }),
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prompt: title,
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});
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for await (const delta of fullStream) {
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const { type } = delta;
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if (type === 'text-delta') {
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const { textDelta } = delta;
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draftContent += textDelta;
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dataStream.writeData({
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type: 'text-delta',
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content: textDelta,
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});
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}
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}
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return draftContent;
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},
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onUpdateDocument: async ({ document, description, dataStream }) => {
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let draftContent = '';
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const { fullStream } = streamText({
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model: myProvider.languageModel('block-model'),
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system: updateDocumentPrompt(document.content, 'text'),
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experimental_transform: smoothStream({ chunking: 'word' }),
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prompt: description,
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experimental_providerMetadata: {
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openai: {
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prediction: {
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type: 'content',
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content: document.content,
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},
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},
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},
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});
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for await (const delta of fullStream) {
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const { type } = delta;
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if (type === 'text-delta') {
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const { textDelta } = delta;
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draftContent += textDelta;
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dataStream.writeData({
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type: 'text-delta',
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content: textDelta,
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});
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}
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}
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return draftContent;
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},
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});
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