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K-CHAT — Mesin Chatbot Universal. Anti-halusinasi bawaan. Cukup taruh folder data.

Project description

K-CHAT — Mesin Chatbot Universal

Anti-halusinasi bawaan. Cukup taruh folder data. Jadi chatbot. Tanpa ribet.

Pilih Model

Model Cocok Cara
A — Hosted UMKM, website shared hosting Upload zip → copas widget
C — Self-Hosted Developer, project Python pip install atau copy engine/

Model A: Hosted (copas widget)

<div id="kchat-widget"></div>
<script src="https://k-studio.my.id/api/widget.js?key="></script>

Upload data bisnis Anda via admin panel. Dapat API key + widget script.

Model C: Self-Hosted (CLI / copy engine)

pip install kstudiochat
kstudiochat init ./bot --template restaurant
kstudiochat chat --data ./bot

Atau copy folder engine/ ke project Python Anda → from engine import Bot


Selengkapnya: docs/PILIHAN_MODEL.md

Mulai Cepat

# Install
pip install kstudiochat

# Buat bot dari template
kstudiochat init ./bot --template pemerintah

# Chat (pake SimulatedLLM — offline, tanpa API key)
kstudiochat chat --data ./bot

# Atau pake LLM sungguhan
pip install kstudiochat[openai]
# Edit bot/config.json → llm.provider: "openai" | "deepseek" | "mimo"

Template

Template Deskripsi
government FAQ pelayanan publik, perizinan, pajak
restaurant Menu, jam buka, reservasi
healthcare Info kesehatan umum, FAQ klinik

Cara Kerja

Taruh folder. Dapat chatbot. Tidak perlu kode.

bot-ku/
├── config.json       # Identitas bot, LLM provider, dll
├── knowledge/        # Dokumen yang dijawab bot
│   ├── faq.md
│   └── harga.md
├── SOUL.md           # Kepribadian (opsional)
├── intents.json      # Kata kunci intent (opsional)
└── refusal.json      # Pesan fallback (opsional)

Pipeline

User → Sanitasi → Etika → Intent → Kirim SEMUA data → LLM → Verifikasi → Respon

Tiga gate dalam satu prompt:

  • Gate 1 — Salam/terima kasih → LLM tanpa data (balas natural)
  • Gate 2 — Pertanyaan → LLM dengan semua data
  • Gate 3 — Di luar topik → Tolak sopan, arahkan ke topik relevan

Anti-Halusinasi

  • Prompt "jawab hanya dari DATA"
  • Deteksi penolakan: tangkap "saya tidak tahu"
  • Verifikasi: entity consistency + overlap check
  • Etika: blokir konten berbahaya

Provider LLM

Provider Model Konfigurasi
Simulated (built-in, offline) simulated Default — tanpa setup
OpenAI gpt-4o-mini Set OPENAI_API_KEY
DeepSeek deepseek-v4-flash Set DEEPSEEK_API_KEY
Xiaomi MiMo mimo-v2-flash Set MIMO_API_KEY
"llm": {"provider": "mimo", "model": "mimo-v2-flash", "temperature": 0.3}

Referensi CLI

Perintah Deskripsi
kstudiochat init <path> Buat pack baru
kstudiochat init <path> --template <nama> Buat dari template
kstudiochat templates Lihat template
kstudiochat chat --data <path> Chat interaktif
kstudiochat serve --data <path> REST API server
kstudiochat validate --data <path> Validasi pack
kstudiochat info --data <path> Lihat konfigurasi

API Multi-Tenant (untuk klien)

K-CHAT bisa jalan sebagai API multi-tenant — klien upload data, dapet endpoint chatbot.

Endpoint

Method Path Deskripsi
POST /api/packs Upload zip → dapet API key
POST /api/chat Chat dengan bot
DELETE /api/packs/:id Hapus pack
GET /api/widget.js?key=xxx Script widget

Cara embed (hosting manapun)

<div id="kchat-widget"></div>
<script src="https://url-api-anda/api/widget.js?key=kc_xxx"></script>

Contoh lengkap: lihat example-widget.html

Langsung pake API

curl -X POST https://url-api-anda/api/chat \
  -H "Authorization: Bearer kc_xxx" \
  -H "Content-Type: application/json" \
  -d '{"message": "Berapa jam buka?"}'

Ekstensi

Diaktifkan via config.json:

"extensions": {
  "conversational_memory": {"enabled": true},
  "predictive": {"enabled": true}
}
Ekstensi Fungsi
conversational_memory Catat preferensi user, mood
multimodal Deteksi emosi lebih akurat
predictive Deteksi interaksi berisiko
live Data real-time (harga, antrian)
adaptive Pantau efektivitas strategi
rlhf Kumpulkan feedback
voice STT → chat → TTS

Kenapa K-CHAT?

Dibanding... K-CHAT kasih lo
LangChain Cukup taruh folder, tanpa kode
Bikin dari nol Anti-halusinasi siap pakai
SaaS chatbot ($30+/bln) Sekali deploy, gratis seterusnya
Pipeline ML Verifikasi deterministik, teraudit

Lisensi

MIT


Dokumentasi: Panduan | Pilihan Model | Arsitektur

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