mirror of
https://github.com/ArthurDanjou/artsite.git
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Arthur DANJOU
6e28fdd17a
- Added '@nuxtjs/mdc' module to nuxt.config.ts for improved UI components. - Configured MDC settings to disable anchor links for headings. - Updated API proxy settings to include '/api/uses' and a general '/api/' endpoint. - Introduced new dependencies for AI SDKs and tools in package.json. - Created a new chat API endpoint to handle AI interactions with various tools. - Implemented utility functions for activity tracking, resource reading, resume retrieval, statistics, status monitoring, and categorized tool usage. - Updated social links in types/index.ts to redirect through a custom domain. - Updated worker configuration to include AI binding for Cloudflare.
90 lines
3.6 KiB
TypeScript
90 lines
3.6 KiB
TypeScript
import { defineEventHandler, readValidatedBody } from 'h3'
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import { z } from 'zod'
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import {
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convertToModelMessages,
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createUIMessageStream,
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createUIMessageStreamResponse,
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streamText
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} from 'ai'
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import type { UIMessage } from 'ai'
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import { createWorkersAI } from 'workers-ai-provider'
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import { statsTool } from '~~/shared/utils/tools/stats'
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import { activityTool } from '~~/shared/utils/tools/activity'
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import { resumesTool } from '~~/shared/utils/tools/read-resume'
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import { resourceTool } from '~~/shared/utils/tools/read-resources'
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import { statusPageTool } from '~~/shared/utils/tools/status-page'
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import { usesByCategoryTool } from '~~/shared/utils/tools/uses-by-category'
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export default defineEventHandler(async (event) => {
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const { messages, lang } = await readValidatedBody(event, z.object({
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messages: z.array(z.custom<UIMessage>()),
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lang: z.string().optional()
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}).parse)
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const { AI } = event.context.cloudflare.env || {}
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if (!AI) {
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throw createError({
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statusCode: 500,
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statusMessage: 'Cloudflare AI Binding not found. Check wrangler.json.'
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})
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}
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const validCategories = ['contact', 'education', 'experiences', 'hobbies', 'languages', 'profile', 'projects', 'skills', 'uses'].join(', ')
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const workersAI = createWorkersAI({ binding: AI })
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const stream = createUIMessageStream({
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execute: async ({ writer }) => {
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const result = streamText({
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model: workersAI('@cf/meta/llama-3-8b-instruct'),
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system: `You are Arthur Danjou's personal portfolio assistant (Data Science Student).
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### TOOL USAGE GUIDE - FOLLOW STRICTLY:
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1. **readResources(category)**: YOUR PRIMARY BRAIN.
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- Use this for ANY question about Arthur's life, background, or work.
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- Categories: ${validCategories}.
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- Example: "What are his skills?" -> call readResources('skills').
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- Example: "Where did he study?" -> call readResources('education').
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2. **readResume()**: THE FILE DISPENSER.
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- **WARNING:** This tool ONLY returns a direct DOWNLOAD LINK (URL). It does NOT contain text.
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- **WHEN TO USE:** ONLY when the user explicitly asks to "download", "get", "see", or "have" the CV/Resume file.
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- **DO NOT USE:** If the user asks "What is on his resume?" or "Describe his experience", DO NOT use this. Use 'readResources' instead.
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3. **stats()**: GITHUB METRICS.
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- Use this for questions about coding volume, commit streaks, languages used percentages, or GitHub activity.
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4. **activity()**: LIVE STATUS.
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- Use this to know what Arthur is doing RIGHT NOW (e.g., "Is he coding?", "What is he listening to on Spotify?").
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5. **statusPage()**: INFRASTRUCTURE HEALTH.
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- Use this if the user asks about the website's uptime, server status, or if services are down.
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6. **usesByCategory()**: TECH STACK & GEAR.
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- Use this for specific questions about his hardware (Mac vs PC), software, developer tools, or desk setup.
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### GENERAL RULES:
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- If you don't call a tool, you know NOTHING. Do not hallucinate.
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- Always answer in ${lang || 'English'}.
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- Be concise and professional.
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`,
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tools: {
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stats: statsTool,
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activity: activityTool,
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readResume: resumesTool,
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readResources: resourceTool,
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statusPage: statusPageTool,
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usesByCategory: usesByCategoryTool
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},
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messages: await convertToModelMessages(messages)
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})
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writer.merge(result.toUIMessageStream())
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}
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})
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return createUIMessageStreamResponse({ stream })
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})
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