Knowledge Base Troubleshooting Grounding
Grounds generated responses strictly in official technical articles, FAQ points, and troubleshooting steps.
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Support ticket reply generation API grounded in knowledge base articles, refund policies, and agent sign-off rules.
https://test.rsflowhub.com/api/v1/ai/ticket-reply
Automated Helpdesk Ticket Reply Generator API is a ready-to-use REST API on RSFlowHub for developers building web, mobile and AI agent applications. Send a JSON request to POST /api/v1/ai/ticket-reply with your API key; RSFlowHub runs it on a tuned AI model (with automatic fallback to a backup provider) and returns a structured JSON result, usually within 1 to 3 seconds.
X-API-Key Header
curl -X POST "https://test.rsflowhub.com/api/v1/ai/ticket-reply" \
-H "Content-Type: application/json" \
-H "X-API-Key: rfh_your_api_key" \
-d '{"ticket":"My payment was deducted but my subscription is still not active.","customer_name":"John Doe","business_name":"RSFlowHub Team","customer_context":"Billing shows payment pending verification.","instructions":"Empathize and ask them to send the transaction receipt ID for manual verification."}'
<?php
$client = new \GuzzleHttp\Client();
$response = $client->post('https://test.rsflowhub.com/api/v1/ai/ticket-reply', [
'headers' => [
'Content-Type' => 'application/json',
'X-API-Key' => 'rfh_your_api_key',
],
'json' => array (
'ticket' => 'My payment was deducted but my subscription is still not active.',
'customer_name' => 'John Doe',
'business_name' => 'RSFlowHub Team',
'customer_context' => 'Billing shows payment pending verification.',
'instructions' => 'Empathize and ask them to send the transaction receipt ID for manual verification.',
),
]);
echo $response->getBody();
const response = await fetch('https://test.rsflowhub.com/api/v1/ai/ticket-reply', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': 'rfh_your_api_key'
},
body: JSON.stringify({"ticket":"My payment was deducted but my subscription is still not active.","customer_name":"John Doe","business_name":"RSFlowHub Team","customer_context":"Billing shows payment pending verification.","instructions":"Empathize and ask them to send the transaction receipt ID for manual verification."})
});
const data = await response.json();
console.log(data);
import requests
url = "https://test.rsflowhub.com/api/v1/ai/ticket-reply"
headers = {
"Content-Type": "application/json",
"X-API-Key": "rfh_your_api_key"
}
payload = {"ticket":"My payment was deducted but my subscription is still not active.","customer_name":"John Doe","business_name":"RSFlowHub Team","customer_context":"Billing shows payment pending verification.","instructions":"Empathize and ask them to send the transaction receipt ID for manual verification."}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
Grounds generated responses strictly in official technical articles, FAQ points, and troubleshooting steps.
Adopts appropriate empathy level for delayed tickets, urgent outages, or standard customer inquiries.
Appends identity verification and security checks before granting account changes or refunds.
Automatically formats polite closing sign-offs and optional customer satisfaction survey links.
See how developers integrate this API endpoint into production apps.
Generate 1-click professional draft responses for tier-1 support agents answering recurring user questions.
Draft step-by-step code solution replies for developer tickets regarding API authentication and CORS errors.
Provide automated order return instructions and return label links following store 14-day return policy rules.
Comparing RSFlowHub's specialized API gateway vs raw multi-turn LLM prompts vs legacy regex rules.
| Evaluation Metric | RSFlowHub API | Raw LLM Prompts | Legacy Regex / Rules |
|---|---|---|---|
| Response Structure | Validated JSON envelope | Unstructured markdown or chat format | Brittle custom regex tuples |
| Setup Effort | One POST request, no prompts | Write and maintain prompts + output parsing | Fast, but rule lists miss context and sarcasm |
| Pricing Model | Flat 2 credit/request | Volatile token-based billing | High server maintenance overhead |
| Multi-Turn Hallucination | Zero (Deterministic validators) | Output format can drift between model versions | No semantic AI intelligence |
| Developer Integration | 3 lines cURL, PHP, JS, Python | Complex prompt engineering & retry loop | Fragile manual rule maintenance |
ticket_body
string
Original customer support ticket body or email text to draft a reply for.
knowledge_base
array
Technical documentation, FAQ points, or refund policy rules to ground the response.
agent_name
string
Name of the support representative or bot handle for closing sign-off.
customer_name
string
Customer name for personalized greeting.
tone
string
Communication tone ("empathetic", "technical", "friendly", "concise").
Every endpoint returns the same envelope: success, request_id, data.result and meta.
{
"success": true,
"request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
"data": {
"result": {
"reply_text": "Sorry for the trouble logging in. I have sent a fresh reset link to your email; please check your spam folder too. Reply here if it does not arrive within 5 minutes.",
"language": "en",
"tone": "empathetic"
}
},
"meta": {
"version": "v1",
"timestamp": "2026-10-05T09:30:00Z"
}
}
Everything you need to know about integrating and using Automated Helpdesk Ticket Reply Generator API.
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