Start Chatbot
Create Chatbot
You can create and train your chatbot within few moments.
Go to your portal and click the + button at Train new chatbot in few seconds. Configure basic settings and click save chatbot
Basic settings include:
- Chatbot logo: Choose brand logo for your chat interface
- Chatbot name: Choose a descriptive name for your chatbot
- Chatbot color: Select brand colors for your chat interface
- AI model: Choose the AI model that powers your chatbot
- Chatbot role: Define your chatbot's purpose and personality
- Chatbot instructions: Define conversation style, tone, and specific response guidelines
- Knowledge base: Add information sources for your chatbot
- Friendly File Name: Set a friendly name for your uploaded file
Preview Chatbot
There are many ways you can see your chatbot in action.
- Preview Page: Go to your portal and click on your chatbot name to open the preview page. You can see the chatbot in both preview modes: Page preview and Widget preview.
- Embed Page: Go to your portal and click on the icon next to your chatbot name to open the embed page. You can edit the embed code to customize the layout and interface of your chatbot.
- Chatbot url: Go to your portal and click on the icon next to your chatbot name to copy your chatbot url. This url contains the chatbot id, and it can be shared with your users.
Chatbot Settings
General Settings
You can customize your chatbot with additional settings:
- Chatbot logo: Choose brand logo for your chat interface
- Chatbot name: Choose a descriptive name for your chatbot
- Chatbot color: Select brand colors for your chat interface
- AI model: Choose the AI model that powers your chatbot
- Chatbot role: Define your chatbot's purpose and personality
- Chatbot instructions: Define conversation style, tone, and specific response guidelines
- Welcome Message: This is the first message that the chatbot will send when starting a conversation with a user
- Fallback Message: The chatbot will send this message as a fallback if it fails to answer a user's query many times.
- Cite URL sources: If enabled, the chatbot will mention the source url of the answer if exists.
- Optional: Session cookies: Set cookies in case your website requires session cookies to be provided.
Knowledge base
Your knowledge base can constitude of 3 types of sources.
- Regular File (Recommended): File formats can be of the following: TXT, PDF, CSV, RTF, DOCX, DOC, JSON, XML, XLSX, XLS, PPTX, PPT, ODT, ODP, ODG, ODS, EPUB, in addition to other file formats that can be considered as text.
- Website: You can choose to parse a single page, the entire website, a subdirectory (recursively or no) , or parse the urls from the Sitemap.
- Audio/Video: Almost all common audio/video file formats are supported.
Chatbot Flow
Each chatbot can have a custom flow to create rich user interaction and guide conversations in a structured way. The custom flow feature allows you to design interactive conversation paths that enhance user experience beyond simple text exchanges.
Flow can be created using 6 types of interactive actions:
- Text Message: Send predefined message to inform or guide users
- Text Message + URL Button: Provide information with a clickable link to external resource or page
- Text Message + Reply Buttons: Present multiple choice options to streamline user navigation
- Location Message: Display location based on latittude and longtitude
- Reset Button: When clicked, the flow will start from the beginning
- Api Request: Call an external API to fetch responses in real time
Property | Description |
---|---|
API URL |
The url of the API |
Method |
GET, POST, PUT, or DELETE |
Parameters |
Add parameters to the request: name, method, type, and value. |
API Response should be in json format
Response type can be:
- Text Message: Display returned text from your API
- Text Message + URL Button: Show API response with actionable link
- Background Task: The chatbot will neglect this response, it can be empty but it has to be json response
- Response Example: Text message
{
"response_type": "text_message",
"record_type": "text_message",
"record_type_value": {
"type": "text_message",
"details": {
"message": "Message to display in chat interface from the chatbot"
},
"has_children": false
},
"role": "assistant"
}
- Response Example: Text Message + URL Button
{
"response_type": "message_with_url_button",
"record_type": "message_with_url_button",
"record_type_value": {
"type": "message_with_url_button",
"details": {
"header": "Message Header",
"body_text": "Message body",
"footer": "Message footer",
"button": {
"display_text": "Button text",
"link": "https://instantchatbots.ai"
},
"instructions": ""
},
"has_children": false
},
"role": "assistant"
}
Leads Collection
Enable the chatbot to automatically collect and manage leads.
Set the number of user messages sent before collection starts.
Collected leads can be emailed to the admin user, or added automatically to your enabled customer support tool.
Create Tickets
Enable chatbot to automatically create support tickets from conversations.
If enabled, the chatbot will automatically create tickets when requested by the user, or when the chatbot fails to answer a user's query many times.
Tickets will be created at the enabled platforms, and notifications will be handled by each platform's settings.
API Reference
Ask Chatbot
POST /api/v1/ask_chatbot
Parameter | Type | Required | Description |
---|---|---|---|
chatbot_id |
string | Yes | Unique identifier of the chatbot to query |
user_query |
string | Yes | The user's message or question to the chatbot |
session_id |
string | No | Optional session identifier to maintain conversation context |
live_instruction |
string | No | Optional instructions to modify chatbot behavior for this query |
const response = await fetch('https://instantchatbots.ai/api/v1/ask_chatbot', {
method: 'POST',
headers: {
'X-API-Key': apiKey,
'Content-Type': 'application/json'
},
body: JSON.stringify({
chatbot_id: "cb_123456",
user_query: "What are your business hours?",
session_id: "session_uuid", // Optional
live_instruction: "Today is May 9, 2025" // Optional
})
});
const data = await response.json();
console.log(data);
import requests
url = "https://instantchatbots.ai/api/v1/ask_chatbot"
headers = {
"X-API-Key": api_key,
"Content-Type": "application/json"
}
data = {
"chatbot_id": "cb_123456",
"user_query": "What are your business hours?",
"session_id": "session_uuid", # Optional
"live_instruction": "Today is May 9, 2025" # Optional
}
response = requests.post(url, headers=headers, json=data)
print(response.json())
$url = "https://instantchatbots.ai/api/v1/ask_chatbot";
$data = array(
"chatbot_id" => "cb_123456",
"user_query" => "What are your business hours?",
"session_id" => "session_uuid", // Optional
"live_instruction" => "Today is May 9, 2025" // Optional
);
$options = array(
'http' => array(
'header' => array(
"X-API-Key: $api_key",
"Content-Type: application/json"
),
'method' => 'POST',
'content' => json_encode($data)
)
);
$context = stream_context_create($options);
$result = file_get_contents($url, false, $context);
$response = json_decode($result, true);
curl -X POST https://instantchatbots.ai/api/v1/ask_chatbot \
-H "X-API-Key: $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"chatbot_id": "cb_123456",
"user_query": "What are your business hours?",
"session_id": "session_uuid",
"live_instruction": "Today is May 9, 2025"
}'
Response Format
Field | Type | Description |
---|---|---|
response_type |
string | Indicates the type of response returned by the chatbot. Common values include "chat_message", "url_button", or "reply_buttons". |
response_info |
string | The actual text response from the chatbot. |
confidence_level |
integer | A value between 0-100 indicating how confident the chatbot is in its response. |
- Response Example: chat_message response type
{
"response_type": "chat_message",
"response_info": "Message returned by the chatbot",
"confidence_level": 80
}
- Response Example: create_ticket response type
{
"response_type": "create_ticket",
"response_info": "Message returned by the chatbot containing explanation for ticket creation",
"confidence_level": 100
}
- Response Example: human_handover response type
{
"response_type": "human_handover",
"response_info": "Message returned by the chatbot containing important information for human handover",
"confidence_level": 100
}
Fetch Chatbots
POST /api/v1/fetch_chatbots
Parameter | Type | Required | Description |
---|---|---|---|
action |
string | Yes | The action to perform. Must be "get_chatbots". |
const response = await fetch('https://api.instantchatbots.ai/api/v1/fetch_chatbots', {
method: 'POST',
headers: {
'X-API-Key': apiKey,
'Content-Type': 'application/json'
},
body: JSON.stringify({
action: 'get_chatbots'
})
});
const chatbots = await response.json();
console.log(chatbots);
import requests
url = "https://api.instantchatbots.ai/api/v1/fetch_chatbots"
headers = {
"X-API-Key": api_key,
"Content-Type": "application/json"
}
data = {
"action": "get_chatbots"
}
response = requests.post(url, headers=headers, json=data)
chatbots = response.json()
print(chatbots)
$url = "https://api.instantchatbots.ai/api/v1/fetch_chatbots";
$data = array(
"action" => "get_chatbots"
);
$options = array(
'http' => array(
'header' => array(
"X-API-Key: $api_key",
"Content-Type: application/json"
),
'method' => 'POST',
'content' => json_encode($data)
)
);
$context = stream_context_create($options);
$result = file_get_contents($url, false, $context);
$chatbots = json_decode($result, true);
curl -X POST https://api.instantchatbots.ai/api/v1/fetch_chatbots \
-H "X-API-Key: $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"action": "get_chatbots"
}'
Response Format
{
"status": "success",
"chatbots": [
{
"uuid": "8ba4c76b-cc33-4dec-b217-f534e736a0e8",
"name": "bot_vpn",
"chatbot_color": "#5777a8",
"logo_url": "https://instantchatbots.ai/static/img/mylogo.png",
"chatbot_model": 1,
"chatbot_language": 1,
"is_private": 0,
"date_created": "2025-04-10 07:23:18"
},
{
"uuid": "7533c5aa-d3a1-4792-85c8-526af49b836d",
"name": "test bot 2",
"chatbot_color": "#5777a8",
"logo_url": "https://instantchatbots.ai/static/img/mylogo.png",
"chatbot_model": 1,
"chatbot_language": 1,
"is_private": 0,
"date_created": "2025-04-10 20:04:18"
}
]
}
Integrations
Automation Platforms
Connect your chatbot with automation tools to automate workflows across 5000+ apps.
Business Tools
Sync chatbot conversations with your CRM, customer support platform, and your chat channels.
E-commerce & CMS
Seamlissly add the chatbot to e-commerce & CMS sites.