Kuldeep Paul

TL;DR: Enterprise AI applications need gateways to manage multiple LLM providers through unified APIs. Bifrost offers intelligent routing with evaluation integration, Cloudflare provides edge deployment, LiteLLM focuses on open-source flexibility, Kong AI extends existing API infrastructure, and Helicone emphasizes observability. Why Enterprises Need Multi-LLM Gateways Running production AI applications

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

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

Table of Contents * TL;DR * Quick Comparison Table * Overview > What is an LLM Orchestration Platform * Detailed Feature Matrix * Platform Profiles * Platforms > Bifrost by Maxim AI * Platforms > LangChain * Platforms > LlamaIndex * Platforms > Haystack * Platforms > Semantic Kernel * Selection Guide > How to Choose * Use Case Matcher * Conclusion