What is AgentOps?
AgentOps is a cutting-edge developer platform designed to streamline the development and deployment of AI agents. The platform offers robust capabilities for testing, debugging, and managing AI agents across multiple frameworks, supporting over 400 different Large Language Models (LLMs).
Through its comprehensive SDK and visual interface, AgentOps provides essential features like time travel debugging, event tracking, and cost monitoring. The platform enables developers to maintain detailed data trails, monitor token usage, and implement fine-tuning capabilities while offering protection against prompt injection attacks.
Features
- Visual Event Tracking: Monitor LLM calls, tools, and multi-agent interactions
- Time Travel Debugging: Rewind and replay agent runs with precision
- Token Management: Track and monitor token usage across agents
- Cost Tracking: Manage and visualize agent spending
- Fine-tuning Capabilities: Optimize LLMs up to 25x cheaper on saved completions
- Security Features: Protection against prompt injection attacks
- Multi-framework Support: Native integrations with top agent frameworks
- Comprehensive Logging: Full data trail maintenance for debugging and auditing
Use Cases
- AI Agent Development and Testing
- Production Deployment of AI Systems
- LLM Cost Optimization
- Enterprise AI Security Management
- Multi-agent System Development
- AI Performance Monitoring
- Token Usage Optimization
FAQs
-
How many LLMs does AgentOps support?
AgentOps supports over 400 different Large Language Models (LLMs). -
What are the pricing tiers available?
AgentOps offers three tiers: Basic (free up to 1,000 events), Pro (starting at $40/month for up to 10,000 events), and Enterprise (custom pricing). -
What security features are available in the Enterprise plan?
Enterprise plan includes SOC-2, HIPAA, NIST AI RMF compliance, custom SSO, on-premise deployment, and self-hosting options on AWS, GCP, and Azure.
Related Queries
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AgentOps Uptime Monitor
Average Uptime
100%
Average Response Time
192.5 ms
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