The complete guide to LLM observability for 2026
Learn how to build complete LLM observability, from tracing and guardrails to cost and governance with frameworks and examples from Portkey.
Drishti Shah
Portkey Named a Cool Vendor in the 2025 Gartner® Cool Vendors™ in LLM Observability Report
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.
Powering GenAI initiatives in insurance companies to go from pilot to production
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.
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.
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.
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.