Client Portal Login
Sign in using the Client API Key or Email credentials provided by your Super Admin.
Sign in using the Client API Key or Email credentials provided by your Super Admin.
Configure your AI Assistant's identity, tone, languages, and system prompt template.
Fill in your business rules below and click "Generate Prompt from Persona" to auto-build your prompt.
{bot_name}
{context} {history} {question}
Browse, search, add, edit, or delete individual FAQs, Products, Outlets, and knowledge chunks directly in the browser.
| ID | Type / Category | Knowledge Content (Embedded in pgvector) | Updated | Actions |
|---|
Source files and manual knowledge containers tracked in MySQL.
| ID | Filename | Status | pgvector Chunks | Uploaded | Action |
|---|
Test your custom prompt and pgvector knowledge base with multi-turn conversation memory.
Review customer questions across WhatsApp, API, and Playground. Click "Teach AI" on any question to embed an official answer directly into pgvector.
| ID | Channel | Customer Question | AI Assistant Answer | Status | Action |
|---|
Add a floating AI Assistant chat bubble to any website with a single 1-line script tag.
<script src="" async></script>
Connect your AI Assistant to popular chat apps across Southeast Asia, East Asia, South Asia, MENA, Europe & the Americas. All channels automatically preserve customer conversation history and log to "Conversation Logs & Teach AI".
Your API key and expiration date are managed by your Super Admin. Use this key to automate AI Assistant responses via REST API or `/askai`.
| ID | Key Name | Client API Key | Expiration Date & Time | Status |
|---|
curl -X POST /v1/answer \
-H "X-API-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"query": "What products do you offer?",
"session_id": "customer_60123456789"
}'
curl -X POST /askai \
-H "Content-Type: application/json" \
-d '{
"token": "YOUR_API_KEY",
"question": "Where is your nearest outlet?",
"session_id": "whatsapp_60123456789",
"history": ""
}'
Supports .jsonl, .json, .pdf, .txt, .md, .csv (up to 25 MB).
Enter any public webpage URL (e.g. your FAQ, About Us, or Product page) to automatically extract text and embed into pgvector.
This answer will be embedded into your pgvector knowledge base immediately.