AI-Powered Route Setup

Paste your existing API code and let KnoxCall’s AI extract the route configuration automatically.

What is AI-Powered Route Setup?

Instead of manually filling in route details, paste your existing API request code (cURL, JavaScript, Python, etc.) and KnoxCall’s AI will:

🔍 Extract URL and HTTP method
📋 Detect headers and content type
📦 Parse request body structure
🔐 Identify secrets (API keys, tokens)
💡 Suggest where secrets should be injected
🏷️ Recommend a route name
⚡ Generate the complete route configuration

Perfect for: Migrating existing API integrations to KnoxCall without rewriting configurations manually.

Supported Languages

KnoxCall’s AI parser supports code from:

cURL (most common)
JavaScript (fetch, axios, node-fetch)
Python (requests, urllib, httpx)
PHP (cURL, Guzzle, file_get_contents)
Ruby (net/http, RestClient, HTTParty)
Go (net/http, resty)
Java (HttpClient, OkHttp, RestTemplate)
C# (HttpClient, RestSharp)

Even if your language isn’t perfectly recognized, the AI can often extract the important details.

How It Works

1. Navigate to Routes → Create Route → Automated Setup
     ↓
2. Paste your API request code
     ↓
3. AI analyzes the code:
   - Detects programming language
   - Extracts URL, method, headers, body
   - Identifies secrets (API keys, tokens)
   - Suggests secret injection locations
     ↓
4. Review detected configuration:
   - Route name suggestion
   - URL and method
   - Headers and body
   - Detected secrets (optional to save)
     ↓
5. Customize if needed → Create route

Step-by-Step Guide

Navigate to Routes
Click Create Route button
Choose Automated Setup

Step 2: Paste Your Code

Copy your existing API request code and paste it: Example 1: cURL Command

curl -X POST "https://api.stripe.com/v1/charges" \
  -H "Authorization: Bearer sk_live_abc123xyz789def456" \
  -H "Content-Type: application/x-www-form-urlencoded" \
  -d "amount=1000&currency=usd"

Example 2: JavaScript (fetch)

const stripeApiKey = "sk_live_abc123xyz789def456";

fetch("https://api.stripe.com/v1/charges", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${stripeApiKey}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    amount: 1000,
    currency: "usd",
    source: "tok_visa"
  })
});

Example 3: Python (requests)

import requests

api_key = "sk_live_abc123xyz789def456"
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}
payload = {
    "amount": 1000,
    "currency": "usd"
}

response = requests.post(
    "https://api.stripe.com/v1/charges",
    headers=headers,
    json=payload
)

Example 4: PHP (cURL)

$apiKey = "sk_live_abc123xyz789def456";
$ch = curl_init("https://api.stripe.com/v1/charges");
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Authorization: Bearer " . $apiKey,
    "Content-Type: application/json"
]);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([
    "amount" => 1000,
    "currency" => "usd"
]));
$response = curl_exec($ch);

Step 3: Click “Parse & Continue”

AI begins analyzing your code. You’ll see progress messages:

🔍 Analyzing code structure...
📝 Detecting programming language...
🌐 Extracting API endpoint...
📊 Parsing request headers...
🔐 Detecting secrets and credentials...
📦 Analyzing request body...
💡 Generating configuration suggestions...
✅ Analysis complete!

This takes 3-5 seconds.

Step 4: Review Detected Configuration

AI shows what it extracted:

Route Name

Suggested: stripe-charges

Based on URL path and detected service You can edit this before creating the route.

Target URL

https://api.stripe.com/v1/charges

HTTP Method

POST

Headers

{
  "Content-Type": "application/json"
}

Non-secret headers are shown here

Request Body

{
  "amount": 1000,
  "currency": "usd",
  "source": "tok_visa"
}

Formatted and ready for injection configuration

Step 5: Review Detected Secrets (Optional)

If AI found secrets in your code: Detected: sk_live_abc123xyz789def456

Property	Value
Original Variable	`stripeApiKey`
Suggested Name	`stripe-api-key`
Type	Bearer Token
AI Suggestion	Inject in Header: `Authorization: Bearer {{secret:stripe-api-key}}`

Options:

☑️ Create this secret (checked by default)
📝 Edit secret name (click to customize)
👁️ Show/hide value (for verification)

Secret values are visible during setup! Make sure nobody is watching your screen. After clicking “Create Route”, the value is encrypted and never shown again.

AI Insertion Suggestions

For each secret, AI recommends: 🤖 AI Suggestion:

Location: Header (or Body)
Header Name: Authorization (if header)
JSON Path: credentials.token (if body)
Description: “Stripe API authentication token”

You don’t need to manually configure this - KnoxCall will apply it automatically!

Step 6: Select Clients (Optional)

Choose which client IP addresses can use this route:

Production Server (52.123.45.67)
Office Network (192.168.1.0/24)
My Development Machine (203.45.67.89)

Or skip and assign clients later.

Step 7: Create Route

Click Create Route KnoxCall will:

Create the route with extracted configuration
Save detected secrets (if selected)
Configure header/body injection per AI suggestions
Assign selected clients
Enable the route

Done! 🎉

Advanced Features

Multi-Route Detection

If you paste code with multiple API calls, AI detects them all: Example: Multiple endpoints in one script

// Create customer
fetch("https://api.stripe.com/v1/customers", {
  method: "POST",
  headers: { "Authorization": `Bearer ${stripeKey}` },
  body: JSON.stringify({ email: "customer@example.com" })
});

// Create charge
fetch("https://api.stripe.com/v1/charges", {
  method: "POST",
  headers: { "Authorization": `Bearer ${stripeKey}` },
  body: JSON.stringify({ amount: 1000, currency: "usd" })
});

AI Result: 2 routes detected

stripe-customers → POST to /v1/customers
stripe-charges → POST to /v1/charges

Shared secrets detected:

stripe-api-key (used by both routes)

You can:

✅ Select which routes to create
✅ Create shared secrets once (available to all routes)
✅ Create all routes in batch

Batch route creation automatically creates all detected routes with one click. Perfect for migrating entire integrations!

Secret Reuse

If a secret already exists in KnoxCall:

✓ Secret "stripe-api-key" already exists

AI won’t create a duplicate. It will use the existing secret in the route configuration.

Fallback to Manual Parsing

If AI can’t extract all details (e.g., URL is a variable):

⚠️ Could not detect URL

You’ll be prompted to enter missing details manually before creating the route. AI still provides:

Headers
Body structure
Secrets detection

You just fill in the URL.

Language Detection Confidence

AI shows confidence level:

🔍 Detected: JavaScript (High Confidence)

High confidence:

Standard library usage (fetch, requests, curl)
Clear syntax
Complete request structure

Medium confidence:

Custom HTTP library
Partial code snippet
Unusual formatting

Low confidence:

Ambiguous code
Multiple languages mixed
Very short snippet

Even at low confidence, AI usually extracts useful details!

Example Use Cases

Use Case 1: Migrate cURL to KnoxCall

Scenario: You have a cURL command from API documentation Code:

curl -X POST "https://api.sendgrid.com/v3/mail/send" \
  -H "Authorization: Bearer SG.abc123xyz789" \
  -H "Content-Type: application/json" \
  -d '{
    "personalizations": [{"to": [{"email": "recipient@example.com"}]}],
    "from": {"email": "sender@example.com"},
    "subject": "Test Email",
    "content": [{"type": "text/plain", "value": "Hello!"}]
  }'

AI Extracts:

Route name: sendgrid-mail-send
URL: https://api.sendgrid.com/v3/mail/send
Method: POST
Secret: sendgrid-api-key → SG.abc123xyz789
Injection: Authorization: Bearer {{secret:sendgrid-api-key}}

Result: Route ready to use immediately!

Use Case 2: Import Production Code

Scenario: You’re proxying an existing JavaScript API integration Code:

async function createCustomer(email) {
  const stripe = require('stripe')(process.env.STRIPE_SECRET_KEY);

  const customer = await stripe.customers.create({
    email: email,
    description: 'New customer'
  });

  return customer;
}

AI Extracts:

Route name: stripe-customers-create
URL: https://api.stripe.com/v1/customers (AI knows Stripe SDK)
Method: POST
Secret: stripe-secret-key (from environment variable)

Body structure:

{
  "email": "{{var:email}}",
  "description": "New customer"
}

Bonus: AI suggests using {{var:email}} for the email parameter!

Use Case 3: Reverse Engineering API Calls

Scenario: You found API request in browser DevTools Code (copied from Network tab):

POST /api/v2/orders HTTP/1.1
Host: internal-api.company.com
Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
Content-Type: application/json

{"product_id": 123, "quantity": 5, "customer_id": 456}

AI Extracts:

Route name: orders-create
URL: https://internal-api.company.com/api/v2/orders
Method: POST
Secret: jwt-token → eyJhbGci...
Body structure: {"product_id": 123, "quantity": 5, "customer_id": 456}

Perfect for setting up proxies to internal APIs!

Use Case 4: Python Script Migration

Scenario: Migrating Python script to run through KnoxCall Code:

import requests
import os

twilio_account_sid = os.getenv("TWILIO_ACCOUNT_SID")
twilio_auth_token = os.getenv("TWILIO_AUTH_TOKEN")

url = f"https://api.twilio.com/2010-04-01/Accounts/{twilio_account_sid}/Messages.json"
auth = (twilio_account_sid, twilio_auth_token)

data = {
    "From": "+15551234567",
    "To": "+15559876543",
    "Body": "Hello from KnoxCall"
}

response = requests.post(url, auth=auth, data=data)

AI Extracts:

Route name: twilio-messages
URL: https://api.twilio.com/2010-04-01/Accounts/{{secret:twilio-account-sid}}/Messages.json
Method: POST
Secrets:
- twilio-account-sid
- twilio-auth-token
Authentication: Basic Auth (both secrets)
Body: Form data with From/To/Body

Note: AI even detects Basic Auth pattern!

Secret Detection Patterns

AI recognizes secrets in many forms:

Variable Assignments

const apiKey = "sk_live_abc123";
const token = "Bearer xyz789";

Environment Variables

api_key = os.getenv("STRIPE_KEY")

const key = process.env.API_KEY;

$key = $_ENV['API_KEY'];

Headers

-H "Authorization: Bearer sk_live_abc123"
-H "X-API-Key: xyz789"

URL Parameters

https://api.service.com?api_key=abc123

Basic Auth

-u username:password

auth=('username', 'password')

Hardcoded Values

fetch("https://api.example.com", {
  headers: { "Authorization": "Bearer sk_live_abc123" }
});

Customizing After AI Analysis

You can edit any detected field before creating the route:

Edit Route Name

Click the route name field and type a new name:

AI: stripe-charges
You: production-stripe-payment-api

Edit Target URL

Update the URL if needed:

AI: https://api.stripe.com/v1/charges
You: https://api.eu.stripe.com/v1/charges

Edit Secret Names

Click secret name to customize:

AI: stripe-api-key
You: stripe-production-key-2025

Toggle Secret Creation

Uncheck secrets you don’t want to create:

☑️ stripe-api-key (create)
☐ webhook-secret (skip - I’ll add later)

Edit Headers

Add or remove headers from the detected set:

{
  "Content-Type": "application/json",
  "X-Custom-Header": "my-value"
}

Edit Body Structure

Modify the request body before creating:

{
  "amount": 1000,
  "currency": "usd",
  "metadata": {
    "order_id": "{{var:order_id}}"
  }
}

Add {{var:param}} for dynamic values!

Troubleshooting

Issue: “Could not detect language”

Causes:

Very short code snippet
Unusual syntax
Multiple languages mixed

Fix:

Include more context (e.g., full function, not just URL)

Add comments indicating language:

// JavaScript
fetch("https://api.example.com")

Use Manual Setup instead

Issue: “URL not detected”

Symptoms: AI couldn’t find the API endpoint Common causes:

// URL is a variable
const url = buildApiUrl(); // AI can't resolve this
fetch(url);

Fix:

Paste code where URL is defined:

const baseUrl = "https://api.example.com";
const url = baseUrl + "/endpoint";
fetch(url);

Or enter URL manually in the form

Issue: “Secrets detected but values wrong”

Symptoms: AI detected a secret but the value is incorrect Example:

const key = getKeyFromVault(); // AI sees "getKeyFromVault()" as value

Fix:

Edit the secret value after AI analysis
Or uncheck and create secret manually later

Issue: “Too many false positive secrets”

Symptoms: AI flagged non-secret values as secrets Example:

const customerId = "cus_abc123"; // Detected as secret (not actually)

Fix:

Uncheck secrets you don’t want to create
Only select actual secrets (API keys, tokens)

Issue: “Request body not formatted”

Symptoms: Body appears as one long line Fix: AI auto-formats JSON. If it’s not formatted:

Check if body is valid JSON
Try pasting just the JSON object:
{ "key": "value" }
Or manually format in the body textarea after creation

Best Practices

1. Include Full Context

✅ Good:

const stripeKey = "sk_live_abc123";
fetch("https://api.stripe.com/v1/charges", {
  method: "POST",
  headers: { "Authorization": `Bearer ${stripeKey}` },
  body: JSON.stringify({ amount: 1000 })
});

Complete request with variable definitions ❌ Bad:

fetch(url, options);

Not enough context

2. Paste Real Values (During Setup)

AI needs to see actual secrets to detect them: ✅ Use:

const key = "sk_live_abc123xyz789";

❌ Don’t use:

const key = "YOUR_API_KEY_HERE";

Placeholders won’t be detected as secrets Remember: You can delete the value after route creation!

3. Clean Up Comments

Remove unnecessary comments that might confuse AI: ✅ Good:

api_key = "sk_live_abc123"
response = requests.get(url, headers={"Authorization": f"Bearer {api_key}"})

❌ Bad:

# TODO: Replace this with your key
api_key = "sk_live_abc123" # Don't commit this!
# This is just for testing
response = requests.get(url, headers={"Authorization": f"Bearer {api_key}"}) # Fix later

4. One API Endpoint Per Paste (Usually)

For single route creation:

Paste code for ONE endpoint
Remove unrelated code

For multi-route creation:

Paste multiple endpoints if they’re related
AI will detect and offer batch creation

5. Verify AI Suggestions

Always review:

✓ URL is correct
✓ Secrets are real secrets (not placeholder strings)
✓ Headers look right
✓ Body structure matches your needs

Don’t blindly accept everything! AI is smart but not perfect.

6. Test After Creation

Create route with AI setup
Immediately test with Route Tester
Verify secrets injected correctly
Check backend receives proper requests

See Testing Routes for details.

Limitations

Cannot Detect Dynamic URLs

If URL is built programmatically:

const url = buildUrl(config.apiEndpoint, params);

AI can’t resolve this. You’ll need to manually enter the URL.

Cannot Resolve Environment Variables

If secret is in environment:

key = os.getenv("API_KEY")

AI detects that a secret is needed but doesn’t know the actual value. You’ll need to manually create the secret.

Limited SDK Support

If using high-level SDKs:

const stripe = new Stripe(apiKey);
await stripe.customers.create({ email });

AI might not know the exact API endpoint being called. It tries to infer but may need manual correction.

Arrays in Body Not Always Detected

Complex nested arrays:

{
  "items": [
    {"id": 1, "nested": {"deep": {"array": [1, 2, 3]}}}
  ]
}

May not parse perfectly. Review and adjust body structure after AI analysis.

No Support for GraphQL Yet

GraphQL queries aren’t currently supported:

query {
  user(id: 123) {
    name
    email
  }
}

Use Manual Setup for GraphQL endpoints.

Manual Route Setup: Traditional step-by-step route creation
Visual Body Editor: Drag-and-drop configuration for complex JSON
Route Testing: Test AI-generated routes before going live
Secret Management: Manage detected secrets after creation

Next Steps

Test Your Route

Test AI-generated routes

Manage Secrets

Configure detected secrets

Visual Body Editor

Refine body injection visually

Manual Setup

Create routes manually

📊 Statistics

Level: beginner to intermediate
Time: 5 minutes

🏷️ Tags

ai, automation, setup, code-parsing, migration

​AI-Powered Route Setup

​What is AI-Powered Route Setup?

​Supported Languages

​How It Works

​Step-by-Step Guide

​Step 1: Open Create Route Modal

​Step 2: Paste Your Code

​Step 3: Click “Parse & Continue”

​Step 4: Review Detected Configuration

​Route Name

​Target URL

​HTTP Method

​Headers

​Request Body

​Step 5: Review Detected Secrets (Optional)

​AI Insertion Suggestions

​Step 6: Select Clients (Optional)

​Step 7: Create Route

​Advanced Features

​Multi-Route Detection

​Secret Reuse

​Fallback to Manual Parsing

​Language Detection Confidence

​Example Use Cases

​Use Case 1: Migrate cURL to KnoxCall

​Use Case 2: Import Production Code

​Use Case 3: Reverse Engineering API Calls

​Use Case 4: Python Script Migration

​Secret Detection Patterns

​Variable Assignments

​Environment Variables

​Headers

​URL Parameters

​Basic Auth

​Hardcoded Values

​Customizing After AI Analysis

​Edit Route Name

​Edit Target URL

​Edit Secret Names

​Toggle Secret Creation

​Edit Headers

​Edit Body Structure

​Troubleshooting

​Issue: “Could not detect language”

​Issue: “URL not detected”

​Issue: “Secrets detected but values wrong”

​Issue: “Too many false positive secrets”

​Issue: “Request body not formatted”

​Best Practices

​1. Include Full Context

​2. Paste Real Values (During Setup)

​3. Clean Up Comments

​4. One API Endpoint Per Paste (Usually)

​5. Verify AI Suggestions

​6. Test After Creation

​Limitations

​Cannot Detect Dynamic URLs

​Cannot Resolve Environment Variables

​Limited SDK Support

​Arrays in Body Not Always Detected

​No Support for GraphQL Yet

​Related Features

​Next Steps

Test Your Route

Manage Secrets

Visual Body Editor

Manual Setup

📊 Statistics

🏷️ Tags

AI-Powered Route Setup

What is AI-Powered Route Setup?

Supported Languages

How It Works

Step-by-Step Guide

Step 1: Open Create Route Modal

Step 2: Paste Your Code

Step 3: Click “Parse & Continue”

Step 4: Review Detected Configuration

Route Name

Target URL

HTTP Method

Headers

Request Body

Step 5: Review Detected Secrets (Optional)

AI Insertion Suggestions

Step 6: Select Clients (Optional)

Step 7: Create Route

Advanced Features

Multi-Route Detection

Secret Reuse

Fallback to Manual Parsing

Language Detection Confidence

Example Use Cases

Use Case 1: Migrate cURL to KnoxCall

Use Case 2: Import Production Code

Use Case 3: Reverse Engineering API Calls

Use Case 4: Python Script Migration

Secret Detection Patterns

Variable Assignments

Environment Variables

Headers

URL Parameters

Basic Auth

Hardcoded Values

Customizing After AI Analysis

Edit Route Name

Edit Target URL

Edit Secret Names

Toggle Secret Creation

Edit Headers

Edit Body Structure

Troubleshooting

Issue: “Could not detect language”

Issue: “URL not detected”

Issue: “Secrets detected but values wrong”

Issue: “Too many false positive secrets”

Issue: “Request body not formatted”

Best Practices

1. Include Full Context

2. Paste Real Values (During Setup)

3. Clean Up Comments

4. One API Endpoint Per Paste (Usually)

5. Verify AI Suggestions

6. Test After Creation

Limitations

Cannot Detect Dynamic URLs

Cannot Resolve Environment Variables

Limited SDK Support

Arrays in Body Not Always Detected

No Support for GraphQL Yet

Related Features

Next Steps