AgentOps 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
AgentOps 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.
AgentOps 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.
Quick Facts
CategoryObservability
IndustryHorizontal
AccessOpen Source
Pricing
Freemium
StatusStandard
ListedJan 16, 2025
Popularity29%
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