LLM Observability is now a business function for AI
As GenAI moves from experiments to production, LLM observability is becoming a business-critical function, driving reliability, governance, and trust in enterprise AI systems.
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Comparing lean LLMs: GPT-5 Nano and Claude Haiku 4.5
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.
Syngenta: Driving AI adoption through hackathons
How Syngenta introduced AI gateways to 100 employees through a company-wide hackathon, combining secure access, model governance, and hands-on experimentation.
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.