Blog
News, guides & engineering
Updates from the Infyrence team on AI models, infrastructure, and developer tooling.
Introducing Infyrence: One API for Every AI Model
Today we are launching Infyrence - a unified API gateway that gives developers instant access to 200+ AI models from OpenAI, Anthropic, Google, Meta, Mistral, and more through a single endpoint.
A Developer's Guide to the AI Application Lifecycle
From prototype to production - a practical walkthrough of building, testing, and deploying AI-powered applications with the right models at every stage.
How Infyrence Routes Your Requests in Real Time
A technical look at the routing infrastructure behind Infyrence - latency-aware selection, health checks, fallback chains, and how we maintain 99.99% uptime across 200+ model endpoints.
Building Reliable AI Agents with Tool Calling
Tool calling is the foundation of modern AI agents. This guide walks through designing reliable tool schemas, handling errors gracefully, and orchestrating multi-step workflows.
The State of Open-Source AI Models in 2025
Llama 3.3, DeepSeek R1, Qwen 2.5, Mistral Large - open-source models have closed the gap with proprietary frontier models. Here is where they stand today.
Prompt Caching: Cut Your API Costs by Up to 90%
Prompt caching lets you reuse expensive prefill computation across requests. Here is how it works at the infrastructure level and how to use it through the Infyrence API today.
Context Windows Explained: Choosing the Right Model for Your Use Case
A practical guide to understanding context windows - what they mean, how they affect cost and performance, and how to pick the right model for your workload.