floopy Blog
Feedback-driven routing, session-level feedback, LLM cost optimization, and AI gateway engineering — plus product updates and guides.
Four Signals, One Loop: How Multi-Source Feedback Routing Actually Works
Session NPS, LLM-as-judge, admin rating, and benchmarks each fail alone. Combining all four with dynamic weights is the only honest way to route.
Self-Hosted vs Managed LLMOps: When to Choose Each
Self-hosted LLMOps gives you control. Managed LLMOps gives you cross-tenant intelligence. Here's the honest decision framework — neither is wrong.
Per-Project Cost Allocation for AI Agents
Break down AI spend by agent, product feature, or team — so you can see which ones are worth the cost and which are quietly eating your budget.
How Hackers Exploit LLM APIs (And How to Stop Them)
Common attack vectors targeting LLM APIs — from prompt injection to cost attacks — and how real-time threat detection protects your app.
How to Build an Agentic Workflow with Floopy's MCP Integration
Build a production agentic loop with Floopy: plugin YAML config, MCP server connection, secret management, and full workflow testing.
Floopy Now Supports MCP: Connect Any AI Tool to Your Gateway
Floopy adds Model Context Protocol support — expose your gateway as an MCP server or connect external MCP tools to your agentic workflows.
How to Reduce OpenAI API Costs by Up to 70%
Practical strategies to cut your OpenAI API bill — from prompt optimization and caching to model routing and usage monitoring.
How Floopy Protects Your LLM Traffic
A deep dive into the security layers that protect your data, API keys, and prompts as they flow through the Floopy gateway.
Smart Cost Routing: Cut AI Costs Up to 60%
Smart Cost Routing picks cheaper models for simple prompts, guarded by Floopy's session-level feedback loop. 40-60% savings without compromising quality.
Why Floopy Stays Fast While Optimizing Your Agents
Gateway speed is table-stakes now. The real question is whether your routing layer can make agents measurably better over time. Here's how Floopy does both.
Agent Optimization vs AI Gateway: What's the Difference in 2026
Gateways route traffic. Agent optimization platforms learn from production feedback and make routing measurably better. Here's why that distinction matters.
How to Choose the Right AI Model for Your App (Hint: Stop Choosing)
Stop picking a model per endpoint. Let a feedback-driven router choose per prompt using session NPS, auto-scores, admin ratings, and public benchmarks.
How to Estimate and Control Your AI API Costs
Learn how to predict your OpenAI, Anthropic, or Google AI spending before it surprises you — with formulas, examples, and monitoring tips.
How to Protect Your AI App from Prompt Injection
A developer's guide to understanding and preventing prompt injection attacks in LLM-powered applications.
How to Cache AI API Requests and Save 30-40%
A practical guide to implementing caching for OpenAI, Claude, and other LLM API calls — from exact matching to semantic caching.