AgentOps is an AI agent observability and monitoring platform, positioned as "trace, debug, and deploy reliable AI agents," and it is officially stated to be supporting thousands of engineers building reliable agents.
In terms of purpose: AgentOps is used to trace, debug, and deploy-monitor the runtime process of AI agents, helping developers understand the actual behavior of agents in production or development.
In terms of main capabilities:
- Visualize traced events, including LLM calls, tool use, and multi-agent interactions.
- Time Travel Debugging: rewind and replay an agent's runtime process with point-in-time precision.
- Debugging and auditing: retain a complete data trail from prototype to production, covering logs, errors, and prompt injection attacks.
- One SDK. Many integrations.
- Track spend across multiple agents.
- Trace, save, and monitor every token an agent sees.
- Monitor, manage, and visualize agent spend with up-to-date pricing.
- Fine-tune specialized LLMs based on saved completions, officially stated to be up to 25 times cheaper.
- Agent Agnostic SDK.
- LLM cost tracking, covering 400+ LLMs.
- Replay Analytics.
In terms of usage: it is officially offered as free to get started, uses SDK integration, and supports multiple integrations; the specific integration list and installation commands are not provided for now.
In terms of applicable scenarios: it is suitable for development and production scenarios that need to trace, debug, audit, and monitor the operation of AI agents (including multi-agent systems), as well as for teams that need to manage LLM costs, token consumption, and fine-tuned specialized LLMs.
In terms of limitations and pricing: the free tier is up to 5,000 events; paid usage is pay-as-you-go, and a pricing calculator is provided. The official paid information states $40 per seat per month, the first 100K spans free, and LLM tokens at $0.20 per million. The Pro version includes everything in Basic, plus unlimited event volume, unlimited log retention, session and event export, dedicated Slack and email support, and role-based access control. The Enterprise version starts at a higher tier and includes everything in Pro, plus on-premises deployment, custom data retention policies, self-hosting (AWS, GCP, Azure), SOC-2, HIPAA, NIST AI RMF. The official website also mentions the use of cookies to ensure the best experience.
