--- title: The Practitioner’s Guide to AgentOps | daily.dev description: AgentOps is the operational discipline for running autonomous AI agents in production, covering observability, evaluation, cost governance, safety, and... canonical: https://daily.dev/posts/the-practitioner-s-guide-to-agentops-jqo8sudet twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: The Practitioner’s Guide to AgentOps | daily.dev og:description: AgentOps is the operational discipline for running autonomous AI agents in production, covering observability, evaluation, cost governance, safety, and... og:url: https://daily.dev/posts/the-practitioner-s-guide-to-agentops-jqo8sudet og:image: https://api.daily.dev/og/posts/jqO8sudEt.png og:image:alt: The Practitioner’s Guide to AgentOps og:image:width: 1200 og:image:height: 630 og:locale: 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. # The Practitioner’s Guide to AgentOps **[Machine Learning Mastery](https://daily.dev/sources/mlm)** · 16 min read · 1 upvotes · 0 comments ## Summary AgentOps is the operational discipline for running autonomous AI agents in production, covering observability, evaluation, cost governance, safety, and continuous improvement. Unlike traditional LLM monitoring, it captures multi-step causal chains, session-level cost attribution, and tool call patterns. The guide walks through instrumenting a research agent using the AgentOps platform with session replay, the @record_function decorator, and loop detection guards. It also covers four common failure patterns (looping, tool hallucinations, context accumulation, multi-agent handoff failures), cost governance strategies including fine-tuning on saved completions for up to 25x savings, and safety patterns like prompt injection detection and human-in-the-loop checkpoints. A decision framework helps teams choose between AgentOps, LangSmith, Langfuse, and Braintrust based on their stack and requirements. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [What is AgentOps?](https://daily.dev/posts/what-is-agentops--1yi35un3o) · portkey · 2 upvotes · 0 comments - [FinOps for agents: Loop limits, tool-call caps and the new unit economics of agentic SaaS](https://daily.dev/posts/finops-for-agents-loop-limits-tool-call-caps-and-the-new-unit-economics-of-agentic-saas-vtyzkrnqi) · InfoWorld · 1 upvotes · 0 comments - [AgenticOps and the Rise of AI-in-the-Loop](https://daily.dev/posts/agenticops-and-the-rise-of-ai-in-the-loop-up8vbiinh) · Cisco · 0 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#langsmith](https://daily.dev/tags/langsmith), [#llm-observability](https://daily.dev/tags/llm-observability) [View this post on daily.dev](https://daily.dev/posts/the-practitioner-s-guide-to-agentops-jqo8sudet) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"The Practitioner’s Guide to AgentOps","url":"https://daily.dev/posts/the-practitioner-s-guide-to-agentops-jqo8sudet","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/the-practitioner-s-guide-to-agentops-jqo8sudet"},"datePublished":"2026-06-08T15:24:19.138Z","dateModified":"2026-07-16T02:12:52.825Z","description":"AgentOps is the operational discipline for running autonomous AI agents in production, covering observability, evaluation, cost governance, safety, and...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fe91a11334bda67f840f1f7a15183690?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fe91a11334bda67f840f1f7a15183690?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Machine Learning Mastery","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Machine Learning Mastery","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/795781ffb32446c39eba040feb64f505","url":"https://daily.dev/sources/mlm"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/the-practitioner-s-guide-to-agentops-jqo8sudet","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,langsmith,llm-observability","timeRequired":"PT16M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Machine Learning Mastery","item":"https://daily.dev/sources/mlm"},{"@type":"ListItem","position":3,"name":"The Practitioner’s Guide to AgentOps"}]} ```