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AgentOps

Build compliant AI agents with observability, evals, and replay analytics.

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AgentOps provides observability and evaluation tools for AI agent applications. Add two lines of code to your Python or TypeScript agent, and AgentOps records every LLM call, tool use, and decision in a session trace. You can replay sessions step-by-step to debug failures and understand agent behavior.

The platform includes built-in evaluation benchmarks, cost tracking, and compliance monitoring. It integrates with popular agent frameworks like CrewAI, AutoGen, and LangChain. AgentOps is free to start, with usage-based pricing for higher volumes.

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Interview with Adam Silverman, Co-founder, Staf.ai a...

AI Agent primer with founders of Agent Ops AI

What is AgentOps?

AgentOps is an observability and evaluation platform for AI agent applications. It records every LLM call, tool use, and decision your agent makes, letting you trace and replay sessions to understand agent behavior and debug failures.

How It Works

Integration requires adding two lines of code to your agent. The AgentOps SDK automatically instruments LLM calls and tool invocations, sending telemetry to the AgentOps dashboard. Each agent run becomes a session that you can replay step-by-step, seeing exactly what the agent decided at each point and why.

Key Features

Session replays show the full trace of an agent's execution, including LLM calls with prompts and completions, tool invocations, and decision points. The platform tracks costs per session and per LLM call, helping you understand where your agent spends money. Built-in evaluation benchmarks let you test agent performance across scenarios. Compliance monitoring flags potential issues in agent behavior.

Framework Integrations

AgentOps integrates with popular agent frameworks including CrewAI, AutoGen, LangChain, LlamaIndex, and Cohere. The Python SDK covers most use cases, with TypeScript support also available.

Pricing

AgentOps offers a free tier for getting started. Paid plans use usage-based pricing based on the number of events tracked. Enterprise plans are available for teams that need higher volumes and additional features.