smart-home-tablet/app/api/voice/chat/route.ts

export const dynamic = 'force-dynamic'
export const runtime = 'nodejs'

import { NextResponse } from 'next/server'
import Groq from 'groq-sdk'

import { voiceBus } from '@/lib/voice-bus'
import { systemPrompt } from '@/lib/voice-prompts'
import { TOOL_SCHEMAS } from '@/lib/voice-tool-schemas'
import { executeTool } from '@/lib/voice-executors'
import { cleanForSpeech, stripFillers, isResetCommand } from '@/lib/voice-text'
import {
  loadHistory, saveHistory, resetHistory,
  HistoryMessage,
} from '@/lib/voice-history'

const MODEL = process.env.GROQ_MODEL || 'llama-3.3-70b-versatile'
const MAX_TOKENS = parseInt(process.env.VOICE_MAX_TOKENS || '300', 10)
const MAX_TOOL_ROUNDS = 4
const RATE_LIMIT_PER_MINUTE = parseInt(process.env.VOICE_RATE_LIMIT || '20', 10)

// In-memory rate-limit per IP / cookie (host один — Docker контейнер).
const rateBuckets = new Map<string, { count: number; resetAt: number }>()
function rateLimit(key: string): boolean {
  const now = Date.now()
  const b = rateBuckets.get(key)
  if (!b || b.resetAt <= now) {
    rateBuckets.set(key, { count: 1, resetAt: now + 60_000 })
    return true
  }
  if (b.count >= RATE_LIMIT_PER_MINUTE) return false
  b.count++
  return true
}
let lastSweep = 0
function sweep() {
  const now = Date.now()
  if (now - lastSweep < 5 * 60_000) return
  lastSweep = now
  for (const [k, v] of rateBuckets) if (v.resetAt <= now) rateBuckets.delete(k)
}

let _client: Groq | null = null
function client(): Groq {
  if (_client) return _client
  const apiKey = process.env.GROQ_API_KEY
  if (!apiKey) throw new Error('GROQ_API_KEY not set')
  _client = new Groq({ apiKey })
  return _client
}

function emitVoice(event: string, agent: 'cosmo' | 'lusya', text?: string) {
  voiceBus.emit('voice', {
    event,
    agent,
    text,
    timestamp: new Date().toISOString(),
  })
}

type AgentId = 'cosmo' | 'lusya'

export async function POST(req: Request) {
  const cookie = req.headers.get('cookie') || ''
  const tokenMatch = cookie.match(/auth_token=([a-f0-9]{32,})/i)
  const internal = req.headers.get('x-voice-internal') || ''
  const fwd = req.headers.get('x-forwarded-for') || ''
  const ratekey = tokenMatch?.[1] || (internal ? 'internal' : '') || fwd.split(',')[0].trim() || 'anon'
  sweep()
  if (!rateLimit(ratekey)) {
    return NextResponse.json({ error: 'rate_limited' }, { status: 429 })
  }

  const body = await req.json().catch(() => null)
  if (!body || typeof body.text !== 'string' || !body.text.trim()) {
    return NextResponse.json({ error: 'text required' }, { status: 400 })
  }
  const userText: string = body.text.trim().slice(0, 4000)
  const agent: AgentId = body.agent === 'lusya' ? 'lusya' : 'cosmo'

  emitVoice('command', agent, userText)

  if (isResetCommand(userText)) {
    await resetHistory(agent)
    const msg = 'Начинаю новую сессию.'
    emitVoice('response', agent, msg)
    return NextResponse.json({ text: msg, reset: true })
  }

  // Загружаем историю и строим messages для Groq (OpenAI-compatible format)
  const history = await loadHistory(agent)

  // Системный prompt + история + новый user message
  const apiMessages: any[] = [
    { role: 'system', content: systemPrompt(agent) },
    ...history,
    { role: 'user', content: userText },
  ]

  let finalText = ''
  const historyStartLen = apiMessages.length // позиция после которой добавляем новые turns

  // Защита от tool-cycling
  let lastToolSig = ''

  try {
    const c = client()
    for (let round = 0; round < MAX_TOOL_ROUNDS; round++) {
      const t0 = Date.now()
      const resp = await c.chat.completions.create({
        model: MODEL,
        max_tokens: MAX_TOKENS,
        messages: apiMessages,
        tools: TOOL_SCHEMAS as any,
        tool_choice: 'auto',
      })

      const choice = resp.choices[0]
      const msg = choice.message
      const usage = resp.usage as any

      console.log(
        `[voice/chat] ${agent} round ${round + 1} ${Date.now() - t0}ms · ` +
        `stop=${choice.finish_reason} · in=${usage?.prompt_tokens} out=${usage?.completion_tokens}`
      )

      // Добавляем assistant message в messages
      apiMessages.push(msg)

      if (choice.finish_reason === 'tool_calls' && msg.tool_calls?.length) {
        const toolCalls = msg.tool_calls

        // Loop-guard: сигнатура текущего раунда
        const sig = toolCalls
          .map((tc: any) => `${tc.function.name}:${tc.function.arguments}`)
          .sort()
          .join('|')
        if (sig === lastToolSig) {
          console.warn('[voice/chat] tool cycle detected, breaking loop')
          finalText += '\nНе получилось выполнить запрос.'
          break
        }
        lastToolSig = sig

        // Выполняем все tool calls и добавляем результаты
        for (const tc of toolCalls) {
          console.log(`[voice/chat] tool ${tc.function.name}(${tc.function.arguments.slice(0, 200)})`)
          let args: any = {}
          try { args = JSON.parse(tc.function.arguments) } catch (_) {}
          const result = await executeTool(tc.function.name, args, agent)
          apiMessages.push({
            role: 'tool',
            tool_call_id: tc.id,
            content: JSON.stringify(result),
          })
        }
        continue
      }

      // Финальный ответ
      finalText = msg.content || ''
      break
    }
  } catch (e: any) {
    console.error('[voice/chat] groq error:', e?.message || e)
    const msg = 'Что-то сломалось.'
    emitVoice('error', agent, msg)
    return NextResponse.json({ error: 'llm_failed', detail: String(e?.message || e), text: msg }, { status: 502 })
  }

  if (!finalText.trim()) {
    const msg = 'Не получил ответ.'
    emitVoice('error', agent, msg)
    return NextResponse.json({ text: msg }, { status: 200 })
  }

  // Сохраняем новые turns в историю (без системного prompt'а)
  const newTurns = apiMessages.slice(historyStartLen)
  const updatedHistory: HistoryMessage[] = [
    ...history,
    ...newTurns.map((m: any) => ({ role: m.role, content: m.content ?? null, tool_calls: m.tool_calls, tool_call_id: m.tool_call_id } as HistoryMessage)),
  ]
  await saveHistory(agent, updatedHistory)

  const cleaned = cleanForSpeech(stripFillers(finalText))
  emitVoice('response', agent, cleaned)
  return NextResponse.json({ text: cleaned })
}