One-Click API

Converting your AI models and tools into APIs with Hyperleap is incredibly easy. Simply navigate to the "Deploy" section of the Hyperleap platform, select the model or tool you want to deploy, and click the "Generate API" button. Hyperleap will automatically create a fully-documented, secure, and scalable API endpoint for your model or tool, complete with sample code and testing tools. You can then copy the API URL and key, and start integrating it into your applications and workflows immediately.

Yes, Hyperleap allows you to fully customize the request and response formats of your generated APIs to match your application's data models and conventions. You can specify the input and output schemas for your models and tools using standard formats like JSON, XML, or protocol buffers, and map them to your API endpoints and methods using a visual API designer. You can also define custom headers, query parameters, and authentication methods to control the behavior and security of your APIs. Hyperleap provides testing and validation tools to help you ensure that your API requests and responses are working as expected before deploying to production.

Yes, Hyperleap provides a powerful set of observability and monitoring tools to help you track and optimize the usage, performance, and reliability of your AI APIs. You can view real-time metrics and dashboards for API requests, responses, latencies, and error rates, and set up alerts and notifications for anomalies or thresholds. Hyperleap also provides tracing and logging capabilities to help you diagnose and debug issues with your API integrations and dependencies. You can use Hyperleap's analytics and reporting tools to gain insights into API usage patterns, user behavior, and business impact, and make data-driven decisions to improve your AI products and services.

Hyperleap provides a comprehensive set of authentication, security, and access control features to help you protect your AI APIs and data. By default, all generated APIs are secured with API keys and HTTPS encryption to prevent unauthorized access and tampering. You can also enable additional authentication methods like OAuth 2.0, JWT tokens, or custom auth plugins to control user access and permissions. Hyperleap provides granular role-based access controls (RBAC) and scopes to restrict API access to specific users, groups, or applications, and supports IP whitelisting and rate limiting to prevent abuse and attacks. All API requests and responses are logged and audited for compliance and debugging purposes.

Hyperleap supports a wide range of API endpoints and methods to fit different use cases and integration scenarios. For models, you can generate REST APIs with POST and GET methods for synchronous and asynchronous inference, as well as WebSocket APIs for real-time streaming and bidirectional communication. For tools and workflows, you can generate REST APIs with POST, GET, PUT, and DELETE methods for creating, retrieving, updating, and deleting resources, as well as webhook APIs for event-driven integrations and notifications. Hyperleap also supports GraphQL APIs for more flexible and efficient data querying and manipulation.