AgentOps AIAI

4.3 (6)

리뷰어 Daniel Nikulshyn·업데이트됨 2026년 7월

Developer Tools Observability LLM Agents Monitoring Testing Analytics SDK

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개요

AgentOps AI AI . , LLM , .

주요 기능

SDK
AI
AI
SDK AI
AI
AI

가격

모델: Freemium
카테고리: Agent Development
평점: 4.3 / 5 (6)

사용 사례

AI

AI , , , ,

AI

AI , AI ,

LLM AI

AI , , LLM ,

AI

AI , AI , LLM ,

장단점

장점

단점

리뷰

4.3

6개 평가의 평균.

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Margaret Whitfield

May 16, 2026

Does the job

Pretty happy overall. Cost and token tracking just works and detailed session replay and trace visibility. Geared toward developers, not non-technical users can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Diego Fernández

May 15, 2026

Does the job

Pretty happy overall. Error and regression detection just works and works with major agent frameworks. Geared toward developers, not non-technical users can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Sofia Lindqvist

Feb 12, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: session replay and trace analytics and combines monitoring with evaluation tooling. Where it lags: geared toward developers, not non-technical users. On balance the feature set — especially session replay and trace analytics — justifies the 4 stars for our use case.

Rina Desai

Dec 8, 2025

Years in this space

I've evaluated a lot of these over the years. What stands out here is agent testing and simulation — handled better than most — and detailed session replay and trace visibility. Worth the time if this is your use case.

Camille Laurent

Sep 16, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on error and regression detection, and detailed session replay and trace visibility caught me off guard. still, I'd recommend giving it a real trial.

Omar Haddad

Jun 13, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on production monitoring dashboards, and works with major agent frameworks caught me off guard. Requires instrumentation of agent code is why this isn't a perfect score, still, I'd recommend giving it a real trial.