AgentOps

What is AgentOps?

AgentOps is a open source sdk & hosted platform ai skills developed by AgentOps AI. It records step-by-step execution traces, LLM token costs, external API calls, and failure points, allowing developers to debug agent reasoning loops and monitor production reliability.

Core Technical Capabilities

• Multi-Step Visual Session Replay: Reconstructs the full sequence of agent thoughts, tool invocations, and environmental responses as a chronological timeline.
• Cost & Latency Tracking: Breaks down monetary expenses per model and measures latency bottlenecks across external tool integrations.
• Infinite Loop & Error Detection: Detects repetitive recursive failure patterns and fires alerts before runaway API spending occurs.

Practical Workflows & Use Cases

• Agent Regression Testing: Compares new prompt variations or model updates against recorded baseline sessions to verify output quality.
• Production Spend Auditing: Monitors enterprise token budgets across distributed autonomous teams and user cohorts.
• Compliance & Security Auditing: Stores immutable audit logs of agent actions, system modifications, and outbound network traffic for regulatory review.

AgentOps vs Alternatives

When selecting tools in the ai skills ecosystem, developers frequently compare AgentOps against alternative solutions:

• LangSmith: LangSmith is tightly integrated with the LangChain ecosystem, whereas AgentOps provides framework-agnostic support across CrewAI, AutoGen, and raw SDKs.
• Arize Phoenix: Phoenix focuses on general LLM tracing and RAG evals, while AgentOps specializes in multi-agent tool loops and session replay.

Technical Specifications

Frequently Asked Questions