AI Gateway

TL;DR Multimodal AI models that process text, images, audio, and video are transforming production applications in 2026. However, bringing these models to production presents unique challenges: managing multiple data types simultaneously, handling increased computational complexity, ensuring consistent performance across modalities, and maintaining cost efficiency at scale. AI gateways like

As AI applications move from prototypes to production, the infrastructure layer between your code and model providers becomes critical. Portkey has established itself as a well-known AI gateway and LLMOps platform, offering a unified API across 1,600+ LLMs, observability, guardrails, and governance features. However, teams scaling high-throughput GenAI systems

TL;DR LLM failover routing has become critical infrastructure for production AI applications. When providers experience outages or rate limits, applications without failover fail completely. This guide examines five leading solutions: Bifrost by Maxim AI (50x faster with <11µs overhead), LiteLLM (100+ provider support), Cloudflare AI Gateway (edge network)

The evolution from static AI chatbots to autonomous agents capable of executing real-world tasks represents one of the most significant shifts in enterprise AI adoption. However, scaling these agents in production environments introduces critical challenges around security, cost management, and operational control. Bifrost's comprehensive implementation of the Model

LLM API costs are one of the fastest-growing line items in enterprise technology budgets. A customer support agent handling 10,000 daily conversations can rack up over $7,500 per month in API costs alone. Factor in multi-provider fragmentation, retry overhead from failed requests, verbose model outputs, and the lack

TL;DR AI gateways are becoming critical infrastructure for production LLM applications, providing unified access to multiple providers, cost control, and enterprise features. This guide covers the top 5 AI gateways: Bifrost for high-performance production deployments with zero-config setup, LiteLLM for multi-provider abstraction with extensive observability, OpenRouter for model marketplace