What is AgentOps?
AgentOps is a developer platform built for AI engineers. It helps create, test, and deploy AI agents quickly and efficiently. Support for over 400 large language model frameworks is included. Built-in tools make tracking, visualization, and optimization easy. The platform improves reliability and cuts down development costs. It also offers better control over how AI systems perform and scale.
Key Features of AgentOps
- Visual Event Tracking Keep an eye on LLM calls, tool usage, and how multiple AI agents work together.
- Time Travel Debugging: Revisit and review any agent run exactly as it happened to fix issues faster.
- Comprehensive Logging Track data flow to catch errors and identify potential security problems.
- Cost Management Monitor token usage and expenses across all AI agents for better control.
- LLM Integration Connect with over 400 large language models and agent frameworks easily.
- Fine-Tuning Capabilities Improve model performance with tuning features that cut costs by up to 25x.
AgentOps Pricing Structure
- Basic: Free, up to 1,000 events, SDK, LLM tracking, replay tools
- Pro: $40/month, 10,000 events, exports, team support, permissions
- Enterprise: Custom, all Pro features plus SLA, SSO, self-hosting, compliance
Why Choose AgentOps for AI Operations
AgentOps offers flexible SDK compatibility, making it suitable for any AI agent. Event tracking is available for up to 10,000 interactions per month on the Pro tier. The platform supports seamless integration with major agent frameworks. Built-in security meets SOC-2, HIPAA, and NIST AI RMF standards. Deployment options include cloud hosting, self-hosted setups, and on-premise environments.
Business Impact
AgentOps supports key functions for building and managing intelligent AI systems. It streamlines AI agent development from testing to deployment. Enterprise-grade tools ensure secure, scalable rollout of complex agents. Performance tracking helps teams monitor behavior and results in real time.
Cost optimization features reduce token usage and control spending. Security and audit logs maintain transparency and risk awareness. Multi-agent management enables coordination between multiple agents with precision.
