🧠 Personal AI Knowledge & Work Assistant

Session: session_ui_001

🛡️ Zero-Trust Guardrail Active ⚡ Caveman Mode

🧠

AI Second Brain untuk Pekerjaan Teknis

Asisten cerdas terintegrasi PostgreSQL + pgvector, HashiCorp Vault, dokumen arsitektur, dan troubleshooting.

🤖 Autonomous AI Watchdogs & Proactive Health Audits

Proactive Agents • IaC Drift Detection • Security & CVE Audits • SLA Governance

Memuat status autonomous watchdog agents...

📋 Riwayat Audit & Temuan Anomali Terkini

0 Temuan

Belum ada riwayat eksekusi audit yang dicatat.

🛠️ IT Troubleshooting Knowledge Base + AI

Incident Lifecycle: Incident → Problem → Root Cause → Investigation → Solution → Prevention

🔍 AI Incident Diagnostic & Investigation Engine

Masukkan pesan error, gejala (symptom), atau kendala teknis yang sedang terjadi:

Contoh Cepat:

📚 Historical Incident Post-Mortems Knowledge Base

📑 Technical Document Analyzer & Cross-Comparator

Auditor HLD, LLD, Tech Spec, SOP, MOP

Dokumen A (High Level Design / HLD)

Dokumen B (Low Level Design / LLD)

Pilih / Tempel Konten Dokumen Teknis untuk Diaudit:

🎙️ Masukkan Transkrip Rapat Teknis / Rekaman Suara Notulensi:

⚡ Failure Blast Radius Simulator & Dependency Tracing

Simulasi kegagalan node arsitektur, kalkulasi dampak berantai (cascading failure), dan estimasi penalti SLA

7 Nodes • 7 Dependencies

Pilih Komponen yang Mengalami Kegagalan:

Status Simulasi:

🕸️ Interactive Graph Topology Canvas (Drag / Klik node untuk inspeksi)

🧠 Multi-Hop GraphRAG Architecture Reasoning

Tanyakan analisis relasi arsitektur multi-hop berbasis Knowledge Graph dan RAG

Contoh Pertanyaan:

📊 Vector Database & System Observability

PostgreSQL + pgvector / Qdrant Engine

0 Total API Requests

0 Tokens Processed

0ms Avg LLM Latency

0 Tool Executions

💰 Enterprise Downtime Financial Loss & SLA ROI Calculator

Kalkulasi estimasi penghematan finansial dan penurunan MTTR dengan KEDOVA AI

Volume Transaksi / Jam:

Rata-rata Nilai Transaksi (IDR):

MTTR Saat Ini (Jam):

Target MTTR KEDOVA (Jam):

🏛️ Vector DB Architecture Details

Vector DB Engine:PostgreSQL + pgvector (with Qdrant fallback)

Embedding Dimension:1024-dim (Qwen3-Embedding-0.6B)

Similarity Metric:Cosine Distance (<=>) with HNSW / IVFFlat

Hybrid Search:Dense Semantic + BM25 Sparse Lexical Fusion

Reranker:Qwen3-Reranker-0.6B Cross-Encoder

Inference Server:vLLM (OpenAI-compatible async client)

🔌 Model Context Protocol (MCP) Hub

JSON-RPC 2.0 • Protocol 2024-11-05

KEDOVA AI MCP Server v1.0.0

Standar interoperabilitas terbuka untuk menghubungkan KEDOVA AI dengan Claude Desktop, Cursor IDE, Copilot, & AI Agents.

                                    POST /v1/mcp/rpc
                                

12 Exposed Tools

3 URI Resources

3 Prompt Templates

3 Connected External MCPs

⚡ Interactive Tool Invoker (Server Mode)

Uji eksekusi langsung tool KEDOVA melalui protokol MCP

Pilih MCP Tool:

Arguments (JSON):

Output Payload: Success 200 OK

📚 Exposed Resources & Prompt Templates

Aset data terstruktur dan prompt templates yang dapat diakses klien MCP

kedova://incidents/catalog

Incident Post-Mortems Catalog (INC-2026-001 to 004)

kedova://runbooks/whitelist

Safe Terminal Command Whitelist & Hard Blocker Rules

kedova://architecture/templates

Standard High-Availability 3-Tier Mermaid Topology

🌐 MCP Client Connectors & On-Demand Tool Toggles

Kelola konektor MCP eksternal & Everything Claude Code (ECC). Aktifkan/nonaktifkan (ON/OFF) server dan tool sesuai kebutuhan.

Filter:

🛠️ Visual Custom MCP Tool Builder (No-Code Registry)

Definisikan REST API / Prometheus / Script internal menjadi MCP Tool operasional baru secara dinamis tanpa mengubah kode.

💻 Live Interactive Web Terminal & Log Streamer

WebSocket Bidirectional • ANSI Colors • Sandbox Guard

🟢 WebSocket: Connected

kedova@enterprise-cluster:~$

Quick Runbooks:

👥 Enterprise User & Identity Management

Super Administrator • Scoped RBAC • Multi-Tenant Governance

Filter Organisasi/Tenant:

Total Terdaftar: 0 Pengguna

Pengguna / Nama	Organisasi / Tenant	Role	Hak Akses (Permissions)	Status	Aksi
Memuat daftar pengguna enterprise...

🖼️ Multimodal Vision & Git IaC Knowledge Ingestion

Vision Blueprint OCR • GraphRAG Auto-Mapping • Terraform / K8s / Helm Ingestion

🖼️ Architecture Diagram Analyzer (OCR $\rightarrow$ GraphRAG)

Judul / Blueprint Topologi:

Unggah Berkas Gambar Topologi (PNG / JPG / WEBP): Opsional: Citra visual akan dianalisis langsung oleh model Multimodal Gemini Vision.

Pilih Template Blueprint Arsitektur:

✓ Otomatis simpan & petakan komponen ke GraphRAG Topology Knowledge Graph

🐙 GitLab / GitHub IaC Repository Ingestion

NOT_VALIDATED

Nama Repositori:

Branch:

Git Repository URL (HTTPS / SSH):

Metode Autentikasi Git:

Tipe Manifest IaC:

Personal Access Token (PAT):

Subfolder Spesifik (Opsional):

Verifikasi Sertifikat SSL Validasi koneksi sebelum ingesti

📈 Token Quota Governance & FinOps Usage Analytics

Multi-Tenant Budgeting • Inference Cost Tracking • Quota Limits Enforcement

🏢

Enterprise Tier

ID: tenant_telkomsigma • 📅 Periode Tagihan: 01 Ags 2026 - 31 Ags 2026

🟢 Status Kuota: AMAN (NORMAL)

Plafon Kuota Bulanan

💳

Sisa: 0 tokens

Token Terpakai (MTD)

⚡

0% dari kuota

Estimasi Biaya FinOps

💵

$0.00

≈ Rp 0,-

Permintaan & Run-Rate

🎯

Rata-rata: 0 tokens/req

📊 Meter Utilisasi Kuota & Batas Ambang Pengamanan

Pengawasan real-time terhadap konsumsi token vs batas soft-limit & hard-limit.

                                0 / 0 (0%)
                            

🛡️ Hard Limit: AKTIF (Blokir jika 100%) 🔔 Peringatan Dini: 80% Threshold

⏳ Sisa Waktu Siklus: -- Hari

🤖 Distribusi Konsumsi per Model LLM

Breakdown Token

Memuat data model...

📁 Distribusi Konsumsi per Workspace Project

Breakdown Project

Memuat data workspace...

💡

Tips FinOps & Efisiensi Token KEDOVA AI:

Aktifkan Sequential Thinking & Token Optimizer MCP untuk memangkas redundansi input prompt hingga ~35%. Gunakan Hybrid RAG untuk memastikan hanya chunk dokumen paling relevan yang dikirim ke LLM.

🎯 Continuous RAG Triad Quality Monitor & Benchmark

Evaluasi berkelanjutan tingkat presisi retrieval, kepatuhan bukti (groundedness), dan eliminasi halusinasi.

🏆 Grade: EXCELLENT (96.5%)

95.2% 1. Context Relevance Rasio dokumen lolos Relevance Gate

97.8% 2. Groundedness Bebas halusinasi & didukung bukti

98.4% 3. Answer Relevance Kesesuaian dengan maksud query

97.1% Composite Triad Index Skor akurasi enterprise terpadu

🛡️ Evaluasi Tata Kelola & Rekomendasi:

📊 Riwayat Benchmark RAG Terkini:

📜 Log Permintaan Inferensi Real-Time

Jejak audit token, endpoint API, dan user ID untuk tata kelola compliance.

Waktu Transaksi	Pengguna (User ID)	Workspace Project	Model LLM	Prompt Tokens	Completion	Total Tokens	Endpoint API
Memuat log inferensi...

AI Second Brain untuk Pekerjaan Teknis

📋 Riwayat Audit & Temuan Anomali Terkini

🔍 AI Incident Diagnostic & Investigation Engine

Vault DR tidak dapat diakses (DNS Resolution Failure)

🔍 Root Cause Analysis

📋 Step-by-Step Investigation Checklist

💡 Immediate Resolution

🛡️ Prevention & Best Practice

⚡ Autonomous Incident Remediation Plan (with HITL Safety Gating)

📚 Historical Incident Post-Mortems Knowledge Base

📊 Alignment Matrix & Inconsistency Report

📌 Actionable Recommendations for Solution Architects:

Audit Result

🏛️ Architecture Audit

⚠️ Missing Information

🔒 Security & Compliance

📘 SOP Standarisasi & Risalah Rapat

🏛️ Keputusan Arsitektur Utama (Key Decisions):

📋 Action Items & Penanggung Jawab:

⚡ Failure Blast Radius Simulator & Dependency Tracing

💥 Komponen Terdampak (Upstream Chain):

🛡️ Rekomendasi Runbook & Mitigasi:

📊 Mermaid Blast Radius Topology Diagram:

🧠 Multi-Hop GraphRAG Architecture Reasoning

💰 Enterprise Downtime Financial Loss & SLA ROI Calculator

🏛️ Vector DB Architecture Details

KEDOVA AI MCP Server v1.0.0

⚡ Interactive Tool Invoker (Server Mode)

📚 Exposed Resources & Prompt Templates

🌐 MCP Client Connectors & On-Demand Tool Toggles

🛠️ Visual Custom MCP Tool Builder (No-Code Registry)

🖼️ Architecture Diagram Analyzer (OCR $\rightarrow$ GraphRAG)

🐙 GitLab / GitHub IaC Repository Ingestion

✓ Repositori IaC Berhasil Diindeks ke Second Brain

🤖 Distribusi Konsumsi per Model LLM

📁 Distribusi Konsumsi per Workspace Project

🎯 Continuous RAG Triad Quality Monitor & Benchmark

🛡️ Evaluasi Tata Kelola & Rekomendasi:

📊 Riwayat Benchmark RAG Terkini:

Atur Kuota Token Organisasi

Base LLM Engine & Hybrid Orchestration

➕ Tambah Pengguna Baru

⚙️ Atur User & Hak Akses (RBAC)

🔑 Ganti Password Pengguna

KEDOVA AI

Human-in-the-Loop (HITL) Operations Authorization

Buat Custom MCP Tool (No-Code Builder)

📁 Tambah Project Workspace Baru

🏢 Daftarkan Organisasi / Tenant Baru