Kuldeep Paul

Kuldeep Paul

Agentic AI | LLM | Product Management | Product Marketing | Data Science | SaaS

LiteLLM Rust Gateway: What Buyers Should Verify in 2026

LiteLLM Rust Gateway: What Buyers Should Verify in 2026

LiteLLM Rust is the beta Rust core behind LiteLLM's latest gateway benchmarks. This guide checks which routes run on Rust today, what the raw benchmark files show against Bifrost, and what platform teams should verify before choosing a gateway.

Top 5 AI Gateways for Enterprise LLM Deployments

Top 5 AI Gateways for Enterprise LLM Deployments

An enterprise AI gateway is the single control point that routes, authenticates, governs, and logs traffic to every LLM provider a company uses. This comparison ranks Bifrost, Kong AI Gateway, Agent Router, Azure API Management, and LiteLLM, then adds a proof-of-concept test plan.

What Is an MCP Gateway? A Guide for Production AI Agents

What Is an MCP Gateway? A Guide for Production AI Agents

An MCP gateway is a centralized layer between AI agents and the MCP servers they call, exposing every connected tool through one endpoint. This guide covers the four roles a gateway plays, how it differs from an MCP server and a proxy, the deny-by-default access model, and when to adopt one.

A2A Inspector: How to Test and Debug A2A Agents

A2A Inspector: How to Test and Debug A2A Agents

The A2A Inspector is the A2A project's web tool for validating an agent card and reading raw JSON-RPC traffic. This guide shows how to run it, test A2A servers with curl and the TCK, and debug production tasks with correlated logs.

AI Agent Registry: How Teams Discover and Govern Internal Agents

AI Agent Registry: How Teams Discover and Govern Internal Agents

An AI agent registry is the system of record for the agents a company runs, from identity and skills to endpoints, auth and who may call them. This guide covers discovery models, a field checklist, how it differs from an MCP registry, and how Bifrost governs registered A2A agents.

Agent Communication Protocols Compared: A2A, MCP and ACP

Agent Communication Protocols Compared: A2A, MCP and ACP

An agent communication protocol defines how AI agents talk to tools, to other agents, and to users. This guide compares MCP, A2A and ACP, explains what happened to ACP, covers AG-UI and AP2, and shows how to govern them in production.

A2A vs MCP: Differences, When to Use Each, and How to Run Both

A2A vs MCP: Differences, When to Use Each, and How to Run Both

A2A vs MCP is a question of direction: MCP connects an agent to its tools and data, while A2A connects independent agents to each other. This guide compares their message models, transports, auth, discovery and task handling, and shows how to govern both at one gateway.