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### Benchmark `yarn workspace @affine/server-native bench` ``` ┌─────────┬────────────┬─────────┬────────────────────┬──────────┬─────────┐ │ (index) │ Task Name │ ops/sec │ Average Time (ns) │ Margin │ Samples │ ├─────────┼────────────┼─────────┼────────────────────┼──────────┼─────────┤ │ 0 │ 'tiktoken' │ '5' │ 176932518.76000002 │ '±4.71%' │ 100 │ │ 1 │ 'native' │ '16' │ 61041597.51000003 │ '±0.60%' │ 100 │ └─────────┴────────────┴─────────┴────────────────────┴──────────┴─────────┘ ```
237 lines
5.8 KiB
TypeScript
237 lines
5.8 KiB
TypeScript
import { type Tokenizer } from '@affine/server-native';
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import { Injectable, Logger } from '@nestjs/common';
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import { AiPrompt, PrismaClient } from '@prisma/client';
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import Mustache from 'mustache';
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import {
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getTokenEncoder,
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PromptMessage,
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PromptMessageSchema,
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PromptParams,
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} from './types';
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// disable escaping
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Mustache.escape = (text: string) => text;
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function extractMustacheParams(template: string) {
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const regex = /\{\{\s*([^{}]+)\s*\}\}/g;
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const params = [];
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let match;
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while ((match = regex.exec(template)) !== null) {
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params.push(match[1]);
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}
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return Array.from(new Set(params));
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}
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export class ChatPrompt {
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private readonly logger = new Logger(ChatPrompt.name);
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public readonly encoder: Tokenizer | null;
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private readonly promptTokenSize: number;
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private readonly templateParamKeys: string[] = [];
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private readonly templateParams: PromptParams = {};
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static createFromPrompt(
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options: Omit<AiPrompt, 'id' | 'createdAt'> & {
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messages: PromptMessage[];
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}
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) {
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return new ChatPrompt(
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options.name,
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options.action || undefined,
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options.model || undefined,
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options.messages
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);
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}
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constructor(
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public readonly name: string,
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public readonly action: string | undefined,
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public readonly model: string | undefined,
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private readonly messages: PromptMessage[]
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) {
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this.encoder = getTokenEncoder(model);
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this.promptTokenSize =
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this.encoder?.count(messages.map(m => m.content).join('') || '') || 0;
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this.templateParamKeys = extractMustacheParams(
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messages.map(m => m.content).join('')
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);
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this.templateParams = messages.reduce(
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(acc, m) => Object.assign(acc, m.params),
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{} as PromptParams
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);
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}
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/**
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* get prompt token size
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*/
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get tokens() {
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return this.promptTokenSize;
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}
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/**
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* get prompt param keys in template
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*/
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get paramKeys() {
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return this.templateParamKeys.slice();
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}
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/**
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* get prompt params
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*/
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get params() {
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return { ...this.templateParams };
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}
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encode(message: string) {
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return this.encoder?.count(message) || 0;
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}
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private checkParams(params: PromptParams, sessionId?: string) {
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const selfParams = this.templateParams;
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for (const key of Object.keys(selfParams)) {
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const options = selfParams[key];
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const income = params[key];
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if (
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typeof income !== 'string' ||
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(Array.isArray(options) && !options.includes(income))
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) {
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if (sessionId) {
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const prefix = income
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? `Invalid param value: ${key}=${income}`
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: `Missing param value: ${key}`;
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this.logger.warn(
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`${prefix} in session ${sessionId}, use default options: ${options[0]}`
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);
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}
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if (Array.isArray(options)) {
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// use the first option if income is not in options
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params[key] = options[0];
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} else {
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params[key] = options;
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}
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}
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}
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}
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/**
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* render prompt messages with params
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* @param params record of params, e.g. { name: 'Alice' }
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* @returns e.g. [{ role: 'system', content: 'Hello, {{name}}' }] => [{ role: 'system', content: 'Hello, Alice' }]
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*/
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finish(params: PromptParams, sessionId?: string): PromptMessage[] {
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this.checkParams(params, sessionId);
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return this.messages.map(({ content, params: _, ...rest }) => ({
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...rest,
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params,
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content: Mustache.render(content, params),
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}));
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}
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}
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@Injectable()
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export class PromptService {
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private readonly cache = new Map<string, ChatPrompt>();
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constructor(private readonly db: PrismaClient) {}
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/**
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* list prompt names
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* @returns prompt names
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*/
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async list() {
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return this.db.aiPrompt
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.findMany({ select: { name: true } })
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.then(prompts => Array.from(new Set(prompts.map(p => p.name))));
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}
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/**
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* get prompt messages by prompt name
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* @param name prompt name
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* @returns prompt messages
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*/
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async get(name: string): Promise<ChatPrompt | null> {
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const cached = this.cache.get(name);
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if (cached) return cached;
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const prompt = await this.db.aiPrompt.findUnique({
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where: {
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name,
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},
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select: {
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name: true,
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action: true,
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model: true,
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messages: {
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select: {
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role: true,
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content: true,
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params: true,
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},
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orderBy: {
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idx: 'asc',
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},
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},
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},
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});
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const messages = PromptMessageSchema.array().safeParse(prompt?.messages);
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if (prompt && messages.success) {
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const chatPrompt = ChatPrompt.createFromPrompt({
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...prompt,
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messages: messages.data,
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});
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this.cache.set(name, chatPrompt);
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return chatPrompt;
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}
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return null;
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}
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async set(name: string, model: string, messages: PromptMessage[]) {
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return await this.db.aiPrompt
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.create({
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data: {
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name,
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model,
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messages: {
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create: messages.map((m, idx) => ({
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idx,
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...m,
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attachments: m.attachments || undefined,
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params: m.params || undefined,
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})),
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},
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},
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})
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.then(ret => ret.id);
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}
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async update(name: string, messages: PromptMessage[]) {
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const { id } = await this.db.aiPrompt.update({
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where: { name },
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data: {
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messages: {
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// cleanup old messages
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deleteMany: {},
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create: messages.map((m, idx) => ({
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idx,
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...m,
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attachments: m.attachments || undefined,
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params: m.params || undefined,
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})),
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},
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},
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});
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this.cache.delete(name);
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return id;
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}
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async delete(name: string) {
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const { id } = await this.db.aiPrompt.delete({ where: { name } });
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this.cache.delete(name);
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return id;
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}
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}
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