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🚀 New on the APILayer Blog: Securely Expose Your APIs to LLMs Without Breaking Security 🔐 Are you building intelligent applications that leverage large language models (LLMs)? Traditional API security won’t cut it when LLMs dynamically generate requests, explore unexpected paths, and operate at machine speed, creating a new attack surface. In our latest blog post, we break down enterprise-grade patterns for securely exposing APIs to LLMs while keeping your systems safe and scalable. 🔍 📌 What you’ll learn: Why LLMs break traditional API security models 🔓 How to implement zero-trust and identity-based access control 💡 Best practices like OAuth2, short-lived tokens, and API gateways ⚙️ Secure secret management and prompt engineering techniques 🛡️ Practical insights for real-world LLM integrations with APILayer APIs 🎯 Whether you’re building AI agents, real-time data pipelines, or intelligent assistants, this guide helps you stay secure without slowing down innovation. 👉 Read the full blog here: https://blog.apilayer.com/how-to-expose-apis-to-llms-without-breaking-security/ #API #LLM #Security #ZeroTrust #OAuth2 #APIDevelopment #AIIntegration #APILayer

🚀 New Guide Alert for Developers & AI Builders! 🚀 If you’re building next-generation AI applications in 2025, you already know that great language models alone aren’t enough. What truly makes an AI system reliable and useful is its ability to connect with real data and external logic. That’s where OpenAI Function Calling comes in. 👉 I just published a deep, practical guide showing how to connect LLMs to live, production-ready APIs even free ones so your AI apps can fetch real data, validate inputs, and deliver structured results. 🔗 https://blog.apilayer.com/openai-function-calling-how-to-connect-llms-to-the-best-free-apis-2025/ In this post, you’ll learn: ⚡ What OpenAI Function Calling is and why it matters ⚡ How to define schemas that let LLMs trigger real API calls ⚡ How to handle results and build reliable systems ⚡ A curated list of the best free-tier APIs for 2025 from weather and news to currency, geolocation, and validation services ⚡ Real code examples you can use right away Whether you’re working on AI assistants, data apps, automation systems, or customer tools, this guide gives you the building blocks to make AI useful not just impressive. Check it out and let me know what you build next! 👇 🔗 https://blog.apilayer.com/openai-function-calling-how-to-connect-llms-to-the-best-free-apis-2025/ #AI #OpenAI #APIs #FunctionCalling #LLMs #SoftwareEngineering #AIDevelopment #DevCommunity #TechInnovation

📢 Unlock AI-Driven Access to Your REST APIs! 🔓🤖 AI assistants are transforming how we interact with data and services, but most REST APIs aren’t built for intelligent understanding. Traditional documentation just doesn’t cut it when an AI needs to reason about your API and make calls autonomously. That’s where Model Context Protocols (MCPs) step in. With MCPs, you can: ✨ Expose your API as AI-understandable tools ✨ Define clear input/output expectations ✨ Enable AI assistants to discover and invoke endpoints ✨ Improve automation and real-world task execution Whether you’re a developer, API provider, or tech leader, this approach helps bridge the gap between your API and modern AI systems. 📖 Dive into the full step-by-step guide here: 👉 https://blog.apilayer.com/step-by-step-guide-how-to-make-your-rest-apis-accessible-to-ai-assistants-using-mcps/?utm_source=chatgpt.com Let’s make APIs smarter and AI interactions more productive! 🚀 #API #AI #ArtificialIntelligence #Tech #RESTAPI #MachineLearning #Integration #DeveloperTools #Innovation #Productivity #SoftwareEngineering