Overview
AgentOps is a comprehensive developer platform designed to streamline the development, testing, and deployment of AI agents. By providing robust tools and integrations, AgentOps empowers engineers to build, monitor, and scale intelligent AI systems with unprecedented visibility and control.
Key Features
- Visual Event Tracking: Monitor LLM calls, tools, and multi-agent interactions
- Time Travel Debugging: Replay and analyze agent runs with precise point-in-time precision
- Comprehensive Logging: Full data trail tracking for errors and potential security risks
- Cost Management: Track token usage and spending across multiple agents
- LLM Integration: Support for 400+ language models and agent frameworks
- Fine-tuning Capabilities: Optimize LLMs at up to 25x reduced costs
Use Cases
- AI Agent Development
- Enterprise-grade Agent Deployment
- Performance Monitoring
- Cost Optimization
- Security and Audit Tracking
- Multi-agent System Management
Technical Specifications
- SDK Compatibility: Agent-agnostic platform
- Event Tracking: Up to 10,000 events per month (Pro tier)
- Integration Support: Native connections with top agent frameworks
- Security Compliance: SOC-2, HIPAA, NIST AI RMF readiness
- Deployment Options: Cloud, on-premise, and self-hosting