AI observability has evolved. Learn what defines the best AI observability tools today and how Portkey, recognized in 2025 Gartner® Cool Vendors™ in LLM Observability, delivers a complete stack to run AI in production.
How Opentelemetry's semantic conventions enable rich analytics on Portkey
Teams are quickly prototyping use cases with LLMs: automating claims summaries, extracting information from documents, or assisting member support. Explore the fastest way to give every team safe, secure access to LLMs, without losing observability, governance, or control.
As GenAI moves from experiments to production, observability is becoming a business-critical function, driving reliability, governance, and trust in enterprise AI systems.
Compare GPT-5 Nano and Claude Haiku 4.5 across reasoning, coding, and cost. See which lightweight model fits your production stack and test both directly through Portkey’s Prompt Playground or AI Gateway.
How Syngenta introduced AI gateways to 100 employees through a company-wide hackathon, combining secure access, model governance, and hands-on experimentation.
Learn how to connect OpenAI AgentKit workflows with multiple LLM providers and get observability, guardrails, and reliability controls.
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.
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!
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.
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.
This guide provides a complete reference for every MCP message type, with real JSON examples you can use in your implementations.
LLM Gateway
Learn why LLM reliability is fragile in production and how to build resilience with multi-provider failover strategies with an AI gateway.
observability
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.
reliability
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.
state-of-the-art performance
Cerebras inference is now available on the Portkey AI Gateway,bringing ultra-fast performance with enterprise-grade governance and control.
ai gateway
Falco Vanguard is an AI-enhanced alert system designed to bring real-time security analysis and rich telemetry built using Portkey's AI gateway!
Production Guides
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
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)
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
See how MCP authentication is messy today and how a unified approach makes servers secure, discoverable, and manageable.
MCP
MCP adoption is creating server sprawl inside enterprises. Learn why governance and secure gateways are key to making MCP sustainable at scale.
Agents
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
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.