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  1. APPS
  2. AI
  3. Local AI Chatbot (llama.cpp) v 18.0
  4. Sales Conditions FAQ

Local AI Chatbot (llama.cpp)

by okkype@gmail.com https://linkedin.com/in/okky-permana-sihipo
Odoo

$ 30.00

v 18.0 Third Party
Apps purchases are linked to your Odoo account, please sign in or sign up first.
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies Discuss (mail)
Lines of code 466
Technical Name ai_chatbot_llama
LicenseOPL-1
Websitehttps://linkedin.com/in/okky-permana-sihipo
Versions 18.0 19.0
You bought this module and need support? Click here!
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies Discuss (mail)
Lines of code 466
Technical Name ai_chatbot_llama
LicenseOPL-1
Websitehttps://linkedin.com/in/okky-permana-sihipo
Versions 18.0 19.0
  • Description
  • License
🤖 Odoo 18 discuss & local inference

Buku Panduan Teknis: AI OdooBot Chatbot

Membongkar arsitektur penyadapan chat OdooBot, kompilasi metadata konteks, mesin inferensi hybrid, evaluasi kode sandboxed AST, dan unit testing ringan.

🧠

Penyadapan Pesan

Bagaimana OdooBot mewarisi modul mail.bot untuk mendeteksi direct message dan ping, menyaring command, dan mengirim teks bersih ke LLM.

🛡️

Sandboxing AST

Mempelajari cara asisten memvalidasi pohon sintaksis (Abstract Syntax Tree) Python untuk memblokir import berbahaya dan fungsi built-in terlarang.

⚡

Inference Hybrid

Mengulas deteksi otomatis jalur file GGUF lokal versus remote endpoint API (Ollama) lengkap dengan penanganan drive letter sistem Windows.

📬 Hubungi Kami & Layanan Training

Hubungi kami untuk informasi atau menjadwalkan training

QR WhatsApp 1
WhatsApp Chat 1
+62 857-3257-0386
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WhatsApp Chat 2
+62 851-6252-3110

Bab 01 Penyadapan Jalur Pesan OdooBot (mail.bot)

Modul chatbot ini memperluas fungsionalitas OdooBot default dengan mewarisi model abstrak mail.bot. Backend mendeteksi jika OdooBot diajak berkomunikasi secara langsung (DM) atau di-ping di dalam saluran diskusi (Discuss):

Python (models/mail_bot.py - _get_answer)
def _get_answer(self, record, body, values, command=False):
    # Memeriksa status keaktifan AI
    ai_enabled = self.env["ir.config_parameter"].sudo().get_param("ai_chatbot_llama.ai_odoobot_enabled", "disabled")
    if ai_enabled != "enabled":
        return super()._get_answer(record, body, values, command)

    odoobot_partner = self.env.ref("base.partner_root")
    is_dm = record.channel_type == "chat" and odoobot_partner in record.channel_member_ids.partner_id
    is_pinged = odoobot_partner.id in values.get("partner_ids", [])

    # Lewatkan AI jika berupa command (/), canned response (:), atau tour
    if command or body.startswith("/") or body.startswith(":") or _("start the tour") in body.lower():
        return super()._get_answer(record, body, values, command)

Bab 02 Sesi & Histori Percakapan (Context Packing)

Agar AI memiliki memori kontekstual terhadap diskusi yang sedang berlangsung, modul mengumpulkan metadata pengguna aktif beserta maksimal 5 pesan terakhir dalam thread diskusi tersebut:

Python (models/mail_bot.py - _get_session_context)
def _get_session_context(self, record, current_message):
    return {
        "user_name": self.env.user.name,
        "user_login": self.env.user.login,
        "company_name": self.env.company.name,
        "today": str(date.today()),
        "history": self._get_chat_history(record, current_message, limit=5)
    }

def _get_chat_history(self, record, current_message, limit=5):
    # Mengambil comment murni, menyaring tag HTML, dan memformat history
    messages = record.message_ids.filtered(lambda m: m.message_type == "comment" and m.body)
    history_lines = []
    for msg in reversed(messages[1:limit + 1]):
        clean_body = re.sub(r"", "", msg.body or "").strip()
        history_lines.append(f"{msg.author_id.name}: {clean_body}")
    return "\n".join(history_lines)

Bab 03 Mesin Inferensi Hybrid & Deteksi Endpoint

LLaMA Engine dapat dikonfigurasi menggunakan file biner GGUF lokal maupun remote HTTP API (seperti Ollama). Modul secara dinamis mendeteksi jenis masukan URL, termasuk meloloskan Windows drive letters yang sering salah dideteksi sebagai protokol:

Python (models/llama_engine.py - _is_url)
def _is_url(self, path):
    # Regex memeriksa apakah string mengandung port localhost atau skema HTTP
    if re.match(r"^[a-zA-Z]:\\", path):  # Meloloskan Windows drive letter (misal C:\models)
        return False
    if "localhost:" in path or "127.0.0.1:" in path:
        return True
    return path.startswith(("http://", "https://"))

Bab 04 Keamanan Eksekusi: AST Sandbox & Proteksi Model

Untuk mengeksekusi script kalkulasi atau ORM buatan LLM, modul mengurai source code ke bentuk Abstract Syntax Tree (AST) untuk memastikan ketiadaan statement berbahaya:

Area Keamanan Tindakan Pencegahan AST Bahaya yang Dihindari
Statement Impor Memblokir class node ast.Import dan ast.ImportFrom. Injeksi file sistem / pemanggilan compiler eksternal.
Fungsi Built-in Memblokir list keyword: eval, exec, open, getattr, __import__. Membaca file rahasia OS atau memodifikasi atribut database.
Dunder Attributes Memblokir semua variabel atau atribut yang diawali/diakhiri __. Membongkar class runtime internal (python sandbox escape).
Database Blacklist Memblokir direct ORM query ke res.users, ir.config_parameter, dsb. Eksploitasi data credential user / config admin.
Python (models/llama_engine.py - validate_code_security)
tree = ast.parse(code)
for node in ast.walk(tree):
    if isinstance(node, (ast.Import, ast.ImportFrom)):
        raise ValueError("AST Security Violation: Python import statements are strictly prohibited.")
    if isinstance(node, ast.Attribute):
        if node.attr.startswith("__") or node.attr.endswith("__"):
            raise ValueError("AST Security Violation: Double underscore attribute access is blocked.")

Bab 05 Parser Format Markdown Ringan

Odoo Discuss memerlukan markup HTML bersih. Teks dari LLM diformat secara instan menggunakan regex untuk membersihkan XSS dan menyusun tata letak bold, italic, dan inline code:

Python (models/mail_bot.py - _format_markdown_response)
# Mengubah format markdown menjadi tag HTML Odoo
escaped_text = html.escape(text)  # Proteksi XSS injection
escaped_text = re.sub(r"\*\*([^*]+)\*\*", r"\1", escaped_text)
escaped_text = re.sub(r"\*([^*]+)\*", r"\1", escaped_text)
escaped_text = re.sub(r"`([^`]+)`", r'<code style="...">\1</code>', escaped_text)

Bab 06 Automated Testing & Sandbox Mocking

Pengujian unit test dilakukan secara terisolasi tanpa memakan resource GPU/CPU berat menggunakan mocking (penyamaran API):

CLI Test Execution
conda run -n odoo-18 python odoo-bin -c odoo-apps.conf -d odoo_18ce_apps --test-enable --test-tags=ai_chatbot_llama --stop-after-init

© 2026 Developer Training Module. Created with Pride for Odoo 18 & Llama Offline Training.

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