---
title: "What is AgentOps?"
url: https://daily.dev/posts/what-is-agentops--1yi35un3o
source_url: https://portkey.ai/blog/what-is-agentops
type: article
source: "portkey"
published: 2026-04-29T19:59:41.829Z
updated: 2026-07-16T02:13:21.332Z
tags: ["ai-agents", "llm-observability"]
reading_time: 7
upvotes: 2
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# What is AgentOps?

**[portkey](https://daily.dev/sources/portkey)** · 7 min read · 2 upvotes · 0 comments

## Summary

AgentOps is the operational layer for AI agents running in production. Unlike single LLM calls, agents make multiple chained decisions, invoke tools, and accumulate costs across steps — creating challenges that standard per-request monitoring can't address. Key capabilities include full run tracing, token/cost tracking, runtime guardrail enforcement, and model access governance. The post explains why reasoning errors compound, tool failures go silent, and policy violations only emerge from sequences of actions. It then presents Portkey's AI Gateway as a shared control plane that handles agent registration, model catalog governance, workspace-level spend caps, and framework-agnostic tracing across LangChain, LlamaIndex, OpenAI Agents SDK, and custom stacks.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://portkey.ai/blog/what-is-agentops>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#llm-observability](https://daily.dev/tags/llm-observability)

[View this post on daily.dev](https://daily.dev/posts/what-is-agentops--1yi35un3o)
