AgentOps
Leading AI Agent Observability Company
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for AgentOps, derived from its capabilities.
AIVSS 6.2 · Medium
View MAESTRO 7-layer threat model →Overview
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Langchain, Autogen, AG2, and CamelAI
Key features
- Visualize: Visually track events such as LLM calls, tools, and multi-agent interactions.
- Time Travel Debugging: Rewind and replay agent runs with point in time precision.
- Debug and Audit: Keep a full data trail of logs, errors, and prompt injection attacks from prototype to production.
- Token Counts: Track, save, and monitor every token your agent sees.
- Cost Tracking: Manage and vizualize agent spend with up-to-date price monitoring.
- Fine-tuning: Fine-tune specialized LLMs up to 25x cheaper on saved completions.
Use cases
- From open source AI agent developer tools like AgentOps to Fortune 500 enterprises, we help clients create safe, reliable, and scalable AI agents.
Listing aggregated from aiagentsdirectory.com