mirror of
https://github.com/ArthurDanjou/artagents.git
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- Introduced new API endpoints for chat management including posting and retrieving chat messages. - Implemented file upload and deletion functionalities for chat and other files. - Added utility functions for streaming text and loading chat data. - Created TypeScript types for models and agents used in the application. - Configured TypeScript settings for server and project. - Added favicon and workspace configuration for pnpm.
56 lines
1.3 KiB
TypeScript
56 lines
1.3 KiB
TypeScript
import type { Message } from 'ai'
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import { appendResponseMessages, appendClientMessage, streamText } from 'ai'
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import { createWorkersAI } from 'workers-ai-provider'
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import { loadChat } from '~~/server/utils/chat'
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export default defineEventHandler(async (event) => {
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const { id, message, model, agent } = await readBody(event)
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console.log(model, agent)
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const workersAI = createWorkersAI({ binding: hubAI() })
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const previousMessages = await loadChat(id)
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const messages = appendClientMessage({
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messages: previousMessages,
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message
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})
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const result = streamText({
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model: workersAI('@cf/meta/llama-3.1-8b-instruct'),
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// system, TODO: add system
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// prompt, TODO: add prompt
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messages,
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// tools, TODO: add tools
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async onFinish({ response }) {
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await saveChat({
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id,
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messages: appendResponseMessages({
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messages,
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responseMessages: response.messages
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})
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})
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}
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})
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result.consumeStream()
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return result.toDataStreamResponse()
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})
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async function saveChat({ id, messages }: { id: string, messages: Message[] }) {
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const hub = hubBlob()
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await hub.delete(`chats/${id}.json`)
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await $fetch('/api/chats', {
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method: 'POST',
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body: {
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file: {
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name: `${id}.json`,
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content: JSON.stringify(messages, null, 2)
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}
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}
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})
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}
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