Add unified API Gateway with authentication, rate limiting, and pricing tiers
Browse files
app.py
ADDED
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| 1 |
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import gradio as gr
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| 2 |
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import hashlib
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| 3 |
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import time
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| 4 |
+
import json
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| 5 |
+
from datetime import datetime
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| 6 |
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from collections import defaultdict
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| 7 |
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import os
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| 9 |
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# ============================================================================
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| 10 |
+
# GCC INSURANCE INTELLIGENCE LAB - UNIFIED API GATEWAY
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| 11 |
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# ============================================================================
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| 12 |
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# Version: 1.0.0
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| 13 |
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# Features: Authentication, Rate Limiting, Pricing Tiers, Usage Tracking
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| 14 |
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# ============================================================================
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| 15 |
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# Pricing Tiers Configuration
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| 17 |
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PRICING_TIERS = {
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| 18 |
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"starter": {
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| 19 |
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"name": "Starter",
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| 20 |
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"price": 500,
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| 21 |
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"requests_per_month": 1000,
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| 22 |
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"rate_limit_per_minute": 10,
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| 23 |
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"features": ["claims_processing", "basic_fraud_detection"],
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| 24 |
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"support": "email"
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| 25 |
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},
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| 26 |
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"professional": {
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"name": "Professional",
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"price": 2000,
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"requests_per_month": 10000,
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| 30 |
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"rate_limit_per_minute": 50,
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| 31 |
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"features": ["claims_processing", "fraud_detection", "underwriting", "document_rag"],
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"support": "priority"
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| 33 |
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},
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"enterprise": {
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"name": "Enterprise",
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"price": 5000,
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| 37 |
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"requests_per_month": 100000,
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| 38 |
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"rate_limit_per_minute": 200,
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| 39 |
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"features": ["all"],
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| 40 |
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"support": "dedicated"
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| 41 |
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}
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| 42 |
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}
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| 43 |
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| 44 |
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# Demo API Keys (In production, use secure database)
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| 45 |
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API_KEYS = {
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| 46 |
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"demo-starter-key": {"tier": "starter", "org": "Demo Starter Org"},
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| 47 |
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"demo-pro-key": {"tier": "professional", "org": "Demo Professional Org"},
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| 48 |
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"demo-enterprise-key": {"tier": "enterprise", "org": "Demo Enterprise Org"}
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| 49 |
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}
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| 50 |
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| 51 |
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# Usage tracking
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| 52 |
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usage_tracker = defaultdict(lambda: {"requests": 0, "last_reset": time.time()})
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| 53 |
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rate_limiter = defaultdict(list)
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| 54 |
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| 55 |
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def validate_api_key(api_key):
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| 56 |
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"""Validate API key and return tier info"""
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| 57 |
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if api_key in API_KEYS:
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| 58 |
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return True, API_KEYS[api_key]
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| 59 |
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return False, None
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| 60 |
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| 61 |
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def check_rate_limit(api_key):
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| 62 |
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"""Check if request is within rate limits"""
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| 63 |
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if api_key not in API_KEYS:
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| 64 |
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return False, "Invalid API key"
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| 65 |
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| 66 |
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tier = API_KEYS[api_key]["tier"]
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| 67 |
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limit = PRICING_TIERS[tier]["rate_limit_per_minute"]
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| 68 |
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| 69 |
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current_time = time.time()
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| 70 |
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minute_ago = current_time - 60
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| 71 |
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| 72 |
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# Clean old requests
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| 73 |
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rate_limiter[api_key] = [t for t in rate_limiter[api_key] if t > minute_ago]
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| 74 |
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| 75 |
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if len(rate_limiter[api_key]) >= limit:
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| 76 |
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return False, f"Rate limit exceeded ({limit}/min for {tier} tier)"
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| 77 |
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| 78 |
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rate_limiter[api_key].append(current_time)
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| 79 |
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return True, "OK"
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| 80 |
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| 81 |
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def process_claims(api_key, claim_data):
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| 82 |
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"""Process insurance claim using AI"""
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| 83 |
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valid, info = validate_api_key(api_key)
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| 84 |
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if not valid:
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| 85 |
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return {"error": "Invalid API key", "status": 401}
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| 86 |
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| 87 |
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allowed, msg = check_rate_limit(api_key)
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| 88 |
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if not allowed:
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| 89 |
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return {"error": msg, "status": 429}
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| 90 |
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| 91 |
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# Simulate AI processing
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| 92 |
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result = {
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| 93 |
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"status": "success",
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| 94 |
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"claim_id": f"CLM-{hashlib.md5(claim_data.encode()).hexdigest()[:8].upper()}",
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| 95 |
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"processing_time": "0.45s",
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| 96 |
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"ai_assessment": {
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| 97 |
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"validity_score": 0.92,
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| 98 |
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"recommended_action": "APPROVE",
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| 99 |
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"confidence": 0.88,
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| 100 |
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"flags": []
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| 101 |
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},
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| 102 |
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"tier": info["tier"],
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| 103 |
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"organization": info["org"]
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| 104 |
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}
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| 105 |
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return result
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| 106 |
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| 107 |
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def detect_fraud(api_key, transaction_data):
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| 108 |
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"""Detect potential fraud in transaction"""
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| 109 |
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valid, info = validate_api_key(api_key)
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| 110 |
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if not valid:
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| 111 |
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return {"error": "Invalid API key", "status": 401}
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| 112 |
+
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| 113 |
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tier = info["tier"]
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| 114 |
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if tier == "starter":
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| 115 |
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features = ["basic_fraud_detection"]
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| 116 |
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else:
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| 117 |
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features = ["advanced_fraud_detection", "pattern_analysis", "network_analysis"]
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| 118 |
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| 119 |
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allowed, msg = check_rate_limit(api_key)
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| 120 |
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if not allowed:
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| 121 |
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return {"error": msg, "status": 429}
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| 122 |
+
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| 123 |
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result = {
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| 124 |
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"status": "success",
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| 125 |
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"transaction_id": f"TXN-{hashlib.md5(transaction_data.encode()).hexdigest()[:8].upper()}",
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| 126 |
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"fraud_score": 0.15,
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| 127 |
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"risk_level": "LOW",
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| 128 |
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"features_used": features,
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| 129 |
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"recommendation": "PROCEED",
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| 130 |
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"tier": tier
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| 131 |
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}
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| 132 |
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return result
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| 133 |
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| 134 |
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def assess_underwriting(api_key, policy_data):
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| 135 |
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"""AI-powered underwriting risk assessment"""
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| 136 |
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valid, info = validate_api_key(api_key)
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| 137 |
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if not valid:
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| 138 |
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return {"error": "Invalid API key", "status": 401}
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| 139 |
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| 140 |
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tier = info["tier"]
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| 141 |
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if tier == "starter":
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| 142 |
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return {"error": "Underwriting not available in Starter tier. Upgrade to Professional.", "status": 403}
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| 143 |
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| 144 |
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allowed, msg = check_rate_limit(api_key)
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| 145 |
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if not allowed:
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| 146 |
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return {"error": msg, "status": 429}
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| 147 |
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| 148 |
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result = {
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| 149 |
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"status": "success",
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| 150 |
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"policy_id": f"POL-{hashlib.md5(policy_data.encode()).hexdigest()[:8].upper()}",
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| 151 |
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"risk_score": 0.35,
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| 152 |
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"risk_category": "MODERATE",
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| 153 |
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"premium_adjustment": "+5%",
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| 154 |
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"factors": ["age", "location", "claims_history"],
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| 155 |
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"tier": tier
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| 156 |
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}
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| 157 |
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return result
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| 158 |
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| 159 |
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def get_usage_stats(api_key):
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| 160 |
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"""Get API usage statistics"""
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| 161 |
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valid, info = validate_api_key(api_key)
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| 162 |
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if not valid:
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| 163 |
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return {"error": "Invalid API key", "status": 401}
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| 164 |
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| 165 |
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tier = info["tier"]
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| 166 |
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tier_info = PRICING_TIERS[tier]
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| 167 |
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| 168 |
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return {
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| 169 |
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"organization": info["org"],
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| 170 |
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"tier": tier,
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| 171 |
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"price": f"${tier_info['price']}/month",
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| 172 |
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"requests_used": usage_tracker[api_key]["requests"],
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| 173 |
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"requests_limit": tier_info["requests_per_month"],
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| 174 |
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"rate_limit": f"{tier_info['rate_limit_per_minute']}/min",
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| 175 |
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"features": tier_info["features"],
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| 176 |
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"support_level": tier_info["support"]
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| 177 |
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}
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| 178 |
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| 179 |
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# Gradio Interface
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| 180 |
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with gr.Blocks(title="GCC Insurance Intelligence API Gateway", theme=gr.themes.Soft()) as demo:
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| 181 |
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gr.Markdown("""
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| 182 |
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# π’ GCC Insurance Intelligence Lab - API Gateway
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| 183 |
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### Unified AI-Powered Insurance Platform
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| 184 |
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| 185 |
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**Available Endpoints:**
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| 186 |
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- `/claims` - Process insurance claims with AI
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| 187 |
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- `/fraud` - Detect fraudulent transactions
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| 188 |
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- `/underwriting` - Risk assessment for policies
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| 189 |
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- `/usage` - Check your API usage stats
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| 190 |
+
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| 191 |
+
**Demo API Keys:**
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| 192 |
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- `demo-starter-key` - Starter tier ($500/mo)
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| 193 |
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- `demo-pro-key` - Professional tier ($2,000/mo)
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| 194 |
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- `demo-enterprise-key` - Enterprise tier ($5,000/mo)
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| 195 |
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""")
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| 196 |
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| 197 |
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with gr.Tab("π Authentication"):
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| 198 |
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api_key_input = gr.Textbox(label="API Key", placeholder="Enter your API key...")
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| 199 |
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auth_btn = gr.Button("Validate Key", variant="primary")
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| 200 |
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auth_output = gr.JSON(label="Authentication Result")
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| 201 |
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auth_btn.click(fn=lambda k: get_usage_stats(k), inputs=api_key_input, outputs=auth_output)
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| 202 |
+
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| 203 |
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with gr.Tab("π Claims Processing"):
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| 204 |
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gr.Markdown("### Process Insurance Claims with AI")
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| 205 |
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claims_key = gr.Textbox(label="API Key")
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| 206 |
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claims_data = gr.Textbox(label="Claim Data (JSON)", lines=5,
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| 207 |
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value='{"policy_number": "POL-12345", "claim_type": "auto", "amount": 5000, "description": "Vehicle damage from accident"}')
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| 208 |
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claims_btn = gr.Button("Process Claim", variant="primary")
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| 209 |
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claims_output = gr.JSON(label="Processing Result")
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| 210 |
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claims_btn.click(fn=process_claims, inputs=[claims_key, claims_data], outputs=claims_output)
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| 211 |
+
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| 212 |
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with gr.Tab("π Fraud Detection"):
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| 213 |
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gr.Markdown("### AI-Powered Fraud Detection")
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| 214 |
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fraud_key = gr.Textbox(label="API Key")
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| 215 |
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fraud_data = gr.Textbox(label="Transaction Data (JSON)", lines=5,
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| 216 |
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value='{"transaction_id": "TXN-001", "amount": 15000, "merchant": "Auto Repair Shop", "location": "Dubai"}')
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| 217 |
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fraud_btn = gr.Button("Analyze Transaction", variant="primary")
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| 218 |
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fraud_output = gr.JSON(label="Fraud Analysis Result")
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| 219 |
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fraud_btn.click(fn=detect_fraud, inputs=[fraud_key, fraud_data], outputs=fraud_output)
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| 220 |
+
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| 221 |
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with gr.Tab("π Underwriting"):
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| 222 |
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gr.Markdown("### Risk Assessment for Underwriting")
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| 223 |
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gr.Markdown("*Requires Professional or Enterprise tier*")
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| 224 |
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uw_key = gr.Textbox(label="API Key")
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| 225 |
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uw_data = gr.Textbox(label="Policy Data (JSON)", lines=5,
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| 226 |
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value='{"applicant_age": 35, "policy_type": "comprehensive", "vehicle_value": 50000, "location": "Riyadh"}')
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| 227 |
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uw_btn = gr.Button("Assess Risk", variant="primary")
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| 228 |
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uw_output = gr.JSON(label="Underwriting Result")
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| 229 |
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uw_btn.click(fn=assess_underwriting, inputs=[uw_key, uw_data], outputs=uw_output)
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| 230 |
+
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| 231 |
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with gr.Tab("π° Pricing Tiers"):
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| 232 |
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gr.Markdown("""
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| 233 |
+
### Pricing Plans
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| 234 |
+
|
| 235 |
+
| Tier | Price | Requests/Month | Rate Limit | Features |
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| 236 |
+
|------|-------|----------------|------------|----------|
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| 237 |
+
| **Starter** | $500/mo | 1,000 | 10/min | Claims, Basic Fraud |
|
| 238 |
+
| **Professional** | $2,000/mo | 10,000 | 50/min | + Underwriting, Document RAG |
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| 239 |
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| **Enterprise** | $5,000/mo | 100,000 | 200/min | All Features + Dedicated Support |
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| 240 |
+
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| 241 |
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Contact sales@gcc-insurance-lab.ai for custom enterprise pricing.
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| 242 |
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""")
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| 243 |
+
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| 244 |
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gr.Markdown("""
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| 245 |
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---
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| 246 |
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**GCC Insurance Intelligence Lab** | [Documentation](https://huggingface.co/gcc-insurance-intelligence-lab) | [Contact](mailto:sales@gcc-insurance-lab.ai)
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| 247 |
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""")
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| 248 |
+
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| 249 |
+
demo.launch()
|