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Шаг 1 миграции голосового стека из home-voice-assistant в сам tablet: - /api/voice/chat — Claude Haiku 4.5 с tool-loop (max 4 раунда), prompt caching на system + старой истории, история в /data/voice-history/. Эмитит command/response/error в voice-bus → орб моргает как раньше. - /api/voice/stt — Groq whisper-large-v3-turbo, multipart или raw audio. - lib/voice-text.ts — порт clean_for_speech (без pymorphy3, время в именительном падеже) и strip_fillers + RESET_PATTERNS. - lib/voice-executors.ts — tool executors через loopback fetch на существующие /api/voice/tools/* и /api/voice/timer. - Поддержка ANTHROPIC_PROXY/GROQ_PROXY (fallback на HTTPS_PROXY). После деплоя нужны GROQ_API_KEY и ANTHROPIC_API_KEY в tablet.env. Шаги 2 (push-to-talk в браузере) и 3 (wake-word) — отдельно.
156 lines
5.4 KiB
TypeScript
156 lines
5.4 KiB
TypeScript
export const dynamic = 'force-dynamic'
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export const runtime = 'nodejs'
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import { NextResponse } from 'next/server'
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import Anthropic from '@anthropic-ai/sdk'
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import { ProxyAgent } from 'undici'
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import { voiceBus } from '@/lib/voice-bus'
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import { systemPrompt } from '@/lib/voice-prompts'
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import { TOOL_SCHEMAS } from '@/lib/voice-tool-schemas'
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import { executeTool } from '@/lib/voice-executors'
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import { cleanForSpeech, stripFillers, isResetCommand } from '@/lib/voice-text'
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import {
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loadHistory, saveHistory, resetHistory,
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buildMessagesWithCache, stripCacheControl, HistoryMessage,
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} from '@/lib/voice-history'
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const MODEL = process.env.ANTHROPIC_MODEL || 'claude-haiku-4-5'
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const MAX_TOKENS = parseInt(process.env.VOICE_MAX_TOKENS || '300', 10)
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const MAX_TOOL_ROUNDS = 4
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let _client: Anthropic | null = null
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function client(): Anthropic {
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if (_client) return _client
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const apiKey = process.env.ANTHROPIC_API_KEY
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if (!apiKey) throw new Error('ANTHROPIC_API_KEY not set')
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const proxy = process.env.ANTHROPIC_PROXY || process.env.HTTPS_PROXY || ''
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const fetchOptions = proxy
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? ({ dispatcher: new ProxyAgent(proxy) } as any)
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: undefined
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_client = new Anthropic({ apiKey, fetchOptions })
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return _client
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}
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function emitVoice(event: string, agent: 'cosmo' | 'lusya', text?: string) {
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voiceBus.emit('voice', {
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event,
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agent,
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text,
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timestamp: new Date().toISOString(),
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})
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}
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type AgentId = 'cosmo' | 'lusya'
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export async function POST(req: Request) {
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const body = await req.json().catch(() => null)
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if (!body || typeof body.text !== 'string' || !body.text.trim()) {
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return NextResponse.json({ error: 'text required' }, { status: 400 })
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}
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const userText: string = body.text.trim()
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const agent: AgentId = body.agent === 'lusya' ? 'lusya' : 'cosmo'
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// Echo command в орб
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emitVoice('command', agent, userText)
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// Reset-команда — стираем историю и отвечаем шаблонно
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if (isResetCommand(userText)) {
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await resetHistory(agent)
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const msg = 'Начинаю новую сессию.'
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emitVoice('response', agent, msg)
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return NextResponse.json({ text: msg, reset: true })
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}
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// Загружаем историю и добавляем новый user-turn
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const history = await loadHistory(agent)
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history.push({ role: 'user', content: userText })
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const systemBlocks: Anthropic.TextBlockParam[] = [
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{
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type: 'text',
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text: systemPrompt(agent),
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cache_control: { type: 'ephemeral' },
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},
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]
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const apiMessages: Anthropic.MessageParam[] = buildMessagesWithCache(history) as any
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let finalText = ''
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const initialUserIdx = history.length - 1
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try {
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const c = client()
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for (let round = 0; round < MAX_TOOL_ROUNDS; round++) {
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const t0 = Date.now()
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const resp = await c.messages.create({
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model: MODEL,
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max_tokens: MAX_TOKENS,
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system: systemBlocks,
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messages: apiMessages,
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tools: TOOL_SCHEMAS,
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})
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const usage = resp.usage as any
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console.log(
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`[voice/chat] ${agent} round ${round + 1} ${Date.now() - t0}ms · ` +
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`stop=${resp.stop_reason} · in=${usage?.input_tokens} out=${usage?.output_tokens} ` +
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`cache_r=${usage?.cache_read_input_tokens || 0} cache_w=${usage?.cache_creation_input_tokens || 0}`
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)
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// Разбираем content на text + tool_use
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const toolUses: Anthropic.ToolUseBlock[] = []
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for (const block of resp.content) {
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if (block.type === 'text') finalText += block.text
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else if (block.type === 'tool_use') toolUses.push(block)
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}
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// Сохраняем assistant turn в API messages как есть (важно для tool_use_id)
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apiMessages.push({ role: 'assistant', content: resp.content as any })
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if (resp.stop_reason === 'tool_use' && toolUses.length) {
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const toolResults: Anthropic.ToolResultBlockParam[] = []
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for (const tu of toolUses) {
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console.log(`[voice/chat] tool ${tu.name}(${JSON.stringify(tu.input).slice(0, 200)})`)
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const result = await executeTool(tu.name, tu.input, agent)
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toolResults.push({
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type: 'tool_result',
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tool_use_id: tu.id,
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content: JSON.stringify(result),
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})
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}
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apiMessages.push({ role: 'user', content: toolResults })
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continue
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}
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// end_turn / max_tokens / stop_sequence — финальный ответ готов
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break
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}
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} catch (e: any) {
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console.error('[voice/chat] anthropic error:', e?.message || e)
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const msg = 'Что-то сломалось.'
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emitVoice('error', agent, msg)
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return NextResponse.json({ error: 'llm_failed', detail: String(e?.message || e), text: msg }, { status: 502 })
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}
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if (!finalText.trim()) {
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const msg = 'Не получил ответ.'
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emitVoice('error', agent, msg)
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return NextResponse.json({ text: msg }, { status: 200 })
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}
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// Сохраняем все turn'ы после initial user (включая tool_use / tool_result)
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const newTurns = apiMessages.slice(initialUserIdx + 1)
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for (const turn of newTurns) {
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history.push({
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role: turn.role as 'user' | 'assistant',
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content: stripCacheControl(turn.content),
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} as HistoryMessage)
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}
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await saveHistory(agent, history)
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const cleaned = cleanForSpeech(stripFillers(finalText))
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emitVoice('response', agent, cleaned)
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return NextResponse.json({ text: cleaned })
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}
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