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AgentOps

AgentOps refers to the operational framework and specialized tooling used to manage the lifecycle of AI agents, focusing specifically on real-time observability, action-tracing, cost management, and the systematic evaluation of autonomous decision loops. It bridges the gap between traditional DevOps and MLOps by prioritizing the auditing of 'reasoning' steps and tool-calling behaviors over simple model inference.

Definition

AgentOps refers to the operational framework and specialized tooling used to manage the lifecycle of AI agents, focusing specifically on real-time observability, action-tracing, cost management, and the systematic evaluation of autonomous decision loops. It bridges the gap between traditional DevOps and MLOps by prioritizing the auditing of 'reasoning' steps and tool-calling behaviors over simple model inference.

Disambiguation

Focuses on the execution traces and behavior of autonomous entities rather than model training (MLOps) or standard software infrastructure (DevOps).

Visual Metaphor

"A Flight Data Recorder (Black Box) for autonomous software pilots."

Key Tools
AgentOps.aiLangSmithHeliconeArize PhoenixWeights & Biases Prompts
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Conceptual Overview

AgentOps refers to the operational framework and specialized tooling used to manage the lifecycle of AI agents, focusing specifically on real-time observability, action-tracing, cost management, and the systematic evaluation of autonomous decision loops. It bridges the gap between traditional DevOps and MLOps by prioritizing the auditing of 'reasoning' steps and tool-calling behaviors over simple model inference.

Disambiguation

Focuses on the execution traces and behavior of autonomous entities rather than model training (MLOps) or standard software infrastructure (DevOps).

Visual Analog

A Flight Data Recorder (Black Box) for autonomous software pilots.

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