AI API Integration
Futuristic API Gateway Design with OpenAI Best Practices
Step 1: Enable API Caching
Reduce backend load and improve response times by enabling API caching in your Google API Gateway configuration.
x-google-backend:
address: https://your-backend-url
caching:
enabled: true
ttl: 600 # Cache for 10 minutes
Step 2: Secure with OAuth2 Authentication
Secure your API endpoints by implementing OAuth2 authentication to provide access control and ensure data protection.
securityDefinitions:
oauth2:
type: oauth2
flow: implicit
authorizationUrl: "https://your-oauth-provider-url"
scopes:
read: "Read access"
write: "Write access"
Step 3: Implement Rate Limiting and Throttling
Prevent overuse and abuse by implementing rate limiting and throttling to safeguard your API’s performance.
x-google-throttling:
maxRequestsPerMinute: 100
Step 4: Graceful Error Handling and Response Codes
Provide clear, informative errors to help developers understand issues and troubleshoot efficiently.
responses:
'200':
description: Successful response
schema:
type: object
properties:
data:
type: string
'400':
description: Bad Request
'500':
description: Internal Server Error
Step 5: Enable Detailed Monitoring & Logging
Enable logging and monitoring to track usage, detect bottlenecks, and improve performance over time.
x-google-backend:
address: https://your-backend-url
monitoring:
enabled: true
logLevel: INFO
No comments:
Post a Comment
curl -I https://aikoinfinity.blogspot.com/p/home.html
https://developers.google.com/profile/u/GiXsync