Using OpenAI AgentKit with Anthropic, Gemini and other providers

Learn how to connect OpenAI AgentKit workflows with multiple LLM providers and get observability, guardrails, and reliability controls.

The most reliable AI gateway for production systems

Portkey’s AI Gateway delivers enterprise-grade reliability at scalw. Learn how configurable routing, governance, and observability makes Portkey the most reliable AI gateway for production.

From Arm Pain to AI Gateway: Why I Chose Portkey for Managing Multiple AI Providers

Managing multiple LLMs meant juggling auth, errors, and APIs. Instead of managing APIs, I chose Portkey's AI gateway to handle the infra, so I could build Dictation Daddy!

Claude Sonnet 4.5 vs GPT-5: performance, efficiency, and pricing compared.

A head-to-head comparison of Claude Sonnet 4.5 and GPT-5, covering coding, reasoning, math, tool use, cost, and ecosystem integrations , with insights on where each model is best suited for enterprise use.

Securing enterprise AI with gateways and guardrails

Enterprises need both speed and security when taking AI to production. Learn more about challenges of AI adoption, the role of guardrails, how AI gateways operationalize them at scale.

MCP Message Types: Complete MCP JSON-RPC Reference Guide

This guide provides a complete reference for every MCP message type, with real JSON examples you can use in your implementations.

Failover routing strategies for LLMs in production

Learn why LLM reliability is fragile in production and how to build resilience with multi-provider failover strategies with an AI gateway.

End-to-End Debugging: Tracing Failures from the LLM Call to the User Experience

Learn how Portkey and Feedback Intelligence combine to deliver end-to-end debugging for LLMs,tracing infrastructure health and user outcomes together to find root causes faster and build reliable AI at scale.

Why reliability in AI applications is now a competitive differentiator

Reliability is now a competitive edge for AI applications. Learn why outages expose critical gaps and how AI gateways and model routers build resilience, and how Portkey unifies both to deliver cost-optimized, reliable AI at scale.

Scaling production AI: Cerebras joins the Portkey ecosystem

Cerebras inference is now available on the Portkey AI Gateway,bringing ultra-fast performance with enterprise-grade governance and control.

Building Production-Ready AI Security: How Falco Vanguard Solves Enterprise Security Challenges with Portkey

Falco Vanguard is an AI-enhanced alert system designed to bring real-time security analysis and rich telemetry built using Portkey's AI gateway!

Architecting for Trust: A Strategic Perspective on the MCP Registry for the Enterprise

The recent announcement of the official MCP Registry is a significant milestone, signaling a new phase of maturity for the AI ecosystem. It provides a much-needed standard for public server discovery and is a welcome development. For enterprise CIOs and platform leaders, however, this announcement should be seen not as

ai gateway

How to choose an AI gateway in 2025

Learn how to choose the right AI gateway in 2025. Explore key evaluation factors i.e., provider support, governance, cost tracking, observability, agent integrations, and private deployments

LLM (Large Language Models)

GPT 5 vs Claude 4

Compare GPT-5 and Claude 4 on benchmarks, safety, and enterprise use. See where each excels and how Portkey helps teams use both seamlessly.

MCP

Simplifying MCP server authentication for enterprises

See how MCP authentication is messy today and how a unified approach makes servers secure, discoverable, and manageable.

MCP

The hidden challenge of MCP adoption in enterprises in 2025

MCP adoption is creating server sprawl inside enterprises. Learn why governance and secure gateways are key to making MCP sustainable at scale.

Agents

Why connecting OTel traces with LLM logs is critical for agent workflows

Disconnected logs create blind spots in agent workflows. See how combining OTel traces with LLM logs delivers end-to-end visibility for debugging, governance, and cost tracking.

batching

Simplifying LLM batch inference

LLM batch inference promises lower costs and fewer rate limits, but providers make it complex. See how Portkey simplifies batching with a unified API, direct outputs, and transparent pricing.

ai gateway

How AI gateways enable scalable agent orchestration

See how AI gateways enable scalable agent orchestration by providing centralized routing, governance, and reliability

MCP

Orchestrating multiple MCP servers in a single AI workflow

Discover how centralized governance simplifies authentication and policy across MCP servers

Best practices for securing and governing tool access in an MCP hub

Learn best practices for securing and governing tool access in an MCP hub, from least-privilege policies to centralized guardrails

MCP

MCP hub vs MCP registry: What’s the difference?

Learn the difference between an MCP hub and an MCP registry, how they work together, and what you should use.

ai guardrails

Fortifying Your AI Stack: Palo Alto Networks Prisma AIRS Now on Portkey

Discover how the Prisma AIRS integration with Portkey combines industry-leading AI security with comprehensive observability.

MCP

What is an MCP hub and why it’s the next layer for AI agents

Learn what is an MCP hub and how it centralizes connection to multiple MCP servers, simplifying tool discovery, governance, and monitoring.