Kamya Shah

Kamya Shah

Top 5 LLM Failover Routing Gateways in 2026

Top 5 LLM Failover Routing Gateways in 2026

Compare the top LLM failover routing gateways in 2026 on overhead, provider coverage, governance, and reliability for production AI workloads. Provider outages are no longer rare. In April 2026 alone, Anthropic's Claude API saw multiple incidents, OpenAI's ChatGPT and API platform went down for hours on

Semantic Caching for LLMs: Cut AI Costs and Latency with an Enterprise AI Gateway

Semantic Caching for LLMs: Cut AI Costs and Latency with an Enterprise AI Gateway

Learn how semantic caching for LLMs reduces AI costs by up to 86% and latency by up to 88% when deployed at the enterprise AI gateway layer. Semantic caching for LLMs is the most direct lever for reducing inference cost and response latency in production AI applications. Real production traffic

Top 5 Tools to Tackle Rate Limiting for LLM Apps

Top 5 Tools to Tackle Rate Limiting for LLM Apps

Compare the top 5 tools to tackle rate limiting for LLM apps with token-aware controls, multi-key pooling, automatic failover, and per-tenant governance at scale. Rate limiting is the most common production blocker for LLM applications. Provider-imposed ceilings on requests per minute (RPM) and tokens per minute (TPM), combined with internal

Top 5 OpenRouter Alternatives for Production AI Systems

Top 5 OpenRouter Alternatives for Production AI Systems

Compare the top 5 OpenRouter alternatives for production AI systems on latency, governance, self-hosting, MCP support, and zero-markup pricing at enterprise scale. OpenRouter alternatives for production AI systems matter once teams move past prototyping and run into the constraints of a managed, SaaS-only aggregation layer: credit markups that compound at

Top 5 AI Gateways to Secure Your AI Apps in 2026

Top 5 AI Gateways to Secure Your AI Apps in 2026

Compare the top 5 AI gateways to secure your AI apps: prompt injection defense, PII redaction, governance, audit logs, and policy enforcement at the gateway layer. AI gateways have become the security control plane for production LLM applications. As models gain access to internal tools, customer data, and external APIs,

Evaluating AI Agents: Metrics and Best Practices

Evaluating AI Agents: Metrics and Best Practices

TL;DR AI agents represent a fundamental shift from traditional LLM applications, requiring specialized evaluation frameworks that go beyond single-turn metrics. Effective agent evaluation combines system efficiency metrics (token usage, completion time, tool calls) with agent quality metrics (task success, trajectory analysis, tool correctness) across both session and node levels.

Top 5 AI Agent Evaluation Platforms in 2025

Top 5 AI Agent Evaluation Platforms in 2026

As AI agents move into production, evaluation is no longer optional. According to LangChain's 2026 State of AI Agents report, 57% of organizations now have agents in production, with quality cited as the top barrier to deployment by 32% of respondents. Unlike traditional software, agents are non-deterministic — the