OpenTelemetry
How Opentelemetry's semantic conventions enable rich analytics on Portkey
ai gateway
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.
observability
As GenAI moves from experiments to production, observability is becoming a business-critical function, driving reliability, governance, and trust in enterprise AI systems.
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
Discover how the Prisma AIRS integration with Portkey combines industry-leading AI security with comprehensive observability.
Last updated - 29 July 2025 TL;DR * For Claude.ai Users: The core limit is a 5-hour rolling session that begins with your first prompt. New weekly quotas will be added starting Aug 28th for heavy users on Claude Pro and Claude Max plans. (all Claude.ai plans share
The Gen AI wave isn't just approaching—it's already crashed over every industry, leaving enterprises to navigate the aftermath. As a CTO or CIO, you've moved past the demos and proofs-of-concept. The questions keeping you up at night are now existential: How do we
Bridging the Chasm: How Portkey's Prompt Engineering Studio Takes AI from Experiment to Production
OpenAI just redefined how enterprises build AI agents—with new Responses APIs, built-in tool integrations, and building blocks for agents. For enterprises invested in AI, these launches bring exciting capabilities and strategic dilemmas: How should enterprises adapt without becoming overly dependent on OpenAI? What does this mean for enterprises invested
Reports, Benchmarks, and Guides on Putting LLMs in Prod
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.
Learn why LLM reliability is fragile in production and how to build resilience with multi-provider failover strategies with an AI gateway.
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 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.
Cerebras inference is now available on the Portkey AI Gateway,bringing ultra-fast performance with enterprise-grade governance and control.
