AgentOps
Monitor and optimize AI agent performance at scale
Overview
AgentOps helps developers build better AI agents by providing tools to track, debug, and improve their performance. It supports over 400 LLMs and agent frameworks, offering cost tracking and time-travel debugging capabilities. Teams use it to ship reliable AI agents faster while managing operational costs.
Key Features
Time Travel Debugging
Rewind and replay agent runs with precise timing
Cost Tracking
Monitor spending across 400+ LLMs in real-time
Multi-Agent Visualization
Track interactions between agents and tools visually
Prompt Injection Detection
Identify security risks in agent conversations
Use Cases
Debug multi-agent interactions
Audit LLM cost allocations
Replay failed agent workflows
Detect prompt injection attacks
Pros & Cons
Pros
- Broad compatibility with 400+ LLMs and frameworks
- Unique time-travel debugging capability
- Granular cost tracking per agent/LLM
- Enterprise-grade security certifications
Cons
- Steep learning curve for non-developers
- Custom features require enterprise plan
- Limited browser-based interface (SDK-focused)
Pricing Plans
Basic
monthlyFeatures
- 1,000 events/month
- LLM cost tracking
- Basic analytics
Pro
monthlyFeatures
- 10,000 events/month
- Unlimited log retention
- Role-based permissions
Enterprise
monthlyFeatures
- Custom SSO
- On-premise deployment
- SOC-2/HIPAA compliance
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
Which LLMs does AgentOps support?
Supports 400+ LLMs including all major providers
Can I track costs across multiple agents?
Yes, provides per-agent and aggregate cost monitoring
Is on-premise deployment available?
Yes, through Enterprise plan with AWS/GCP/Azure support
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