ai-services

Gradient AI serverless inference on App Platform enables direct LLM API calls by configuring model access keys within your deployment environment. It supports Python, Node.js, and cURL SDK examples to streamline integration for your applications.

Loading model access keys from GitHub Secrets into App Platform deployments requires mapping your secure environment secrets to the app spec. This ensures secure model key management across different environments without hardcoding sensitive credentials.

The Agent Development Kit (ADK) is a framework for building full AI agents with knowledge bases. When integrated with App Platform, it allows your applications to utilize advanced AI agent capabilities alongside serverless inference for direct LLM interactions.

Yes, you can use Python and Node.js SDKs for Gradient AI integration on App Platform. The configuration provides specific SDK examples for both languages, alongside cURL, to guide developers through implementing direct LLM calls and managing credentials.

The best way to manage environment secrets for AI applications on App Platform is by loading model access keys from GitHub Secrets or App Platform Secrets. This approach ensures secure credential handling across environments and integrates directly with your app specs.

Use serverless inference when your app requires direct LLM API calls, and use the Agent Development Kit when you need full AI agents with knowledge bases. Both can be configured for App Platform deployments depending on your application's AI complexity.