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AgentOps-AI · Jul 25, 2024 · 0dd0a41 · 0dd0a41
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 However, as with most new technologies, companies and engineering teams can be slow to develop processes and best practices. One part of the agent workflow we're betting on is the importance of observability. Letting your agents run wild might work for a hobby project, but if you're building enterprise-grade agents for production, it's crucial to understand where your agents are succeeding and failing. Observability isn't just an option; it's a requirement.
 
 As agents evolve into even more powerful and complex tools, you should view them increasingly as tools designed to augment your team's capabilities. Agents will take on more prominent roles and responsibilities, take action, and provide immense value. However, this means you must monitor your agents the same way a good manager maintains visibility over their personnel. AgentOps offers developers observability for debugging and detecting failures. It provides the tools to monitor all the key metrics your agents use in one easy-to-read dashboard. Monitoring is more than just a “nice to have”; it's a critical component for any team looking to build and scale AI agents.
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 ## What is Agent Observability?
 
 Agent observability, in its most basic form, allows you to monitor, troubleshoot, and clarify the actions of your agent during its operation. The ability to observe every detail of your agent's activity, right down to a timestamp, enables you to trace its actions precisely, identify areas for improvement, and understand the reasons behind any failures-— a key aspect of effective debugging. Beyond enhancing diagnostic precision, this level of observability is integral for your system's reliability. Think of it as the ability to identify and address issues before they spiral out of control. Observability isn't just about keeping things running smoothly and maximizing uptime; it's about strengthening your agent-based solutions.