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AgentOps
LLM Orchestrators
Overview
A comprehensive platform for monitoring, testing, and debugging AI agents in production. It provides deep observability into agent behavior, tool usage, and cost, ensuring reliable autonomous workflows.
AgentOps is an observability platform built specifically for AI agents, recording sessions, tool calls, costs, and failures so teams can debug and improve autonomous workflows. It integrates with popular agent frameworks with minimal code. It targets developers running agents in production.
Key Features
- Session replay for agent runs
- Tool-use and cost tracking
- Failure detection and debugging
- Framework integrations (CrewAI, AutoGen, etc.)
- Evaluation tooling
Best For
Developers who need deep visibility into agent behavior in production.
Pros & Cons
Pros
- Agent-specific observability
- Easy framework integrations
- Useful cost and failure insights
Cons
- Observability layer, not orchestration
- Most useful at agent scale
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Pulse Verdict
“The flight recorder for agents. AgentOps provides the critical visibility and evaluation tools needed to scale autonomous teams with confidence.”
Pricing
Free tier; paid plans for higher volume and retention.
Pricing changes often — confirm current plans on the official site.