AgentOps - Industry leading developer platform to test, debug, and deploy AI agents

AgentOps Industry leading developer platform to test, debug, and deploy AI agents

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.