AgentOps

Founded by Adam Silverman in 2023

Track, debug, and monitor AI agents and large language model interactions

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use AgentOps to trace, debug, and monitor your autonomous artificial intelligence agents in development and production. The software records multi-agent interactions, tracks tool calls, and provides point-in-time time travel debugging to replay previous agent execution sessions. It keeps detailed logs and audit trails to identify errors, prompt injection attempts, and unexpected failures. You can monitor token usage across hundreds of language models to manage API costs, and export saved completion datasets to fine-tune specialized models up to twenty-five times cheaper.

What AgentOps does

Replay past agent runs with step-by-step point-in-time inspectionMonitor real-time token spend across different LLM providersInspect tool call inputs, outputs, and multi-agent messagesDetect prompt injection attacks and malicious inputsExport session datasets for fine-tuning smaller language modelsSet up event logging using the Python SDKVisual event tracking for LLM calls, tools, and multi-agent communicationsTime travel debugging to rewind and replay specific agent sessionsAudit trails to record errors and flag prompt injection attacksReal-time token count and cost monitoring across more than 400 LLMsAgent-agnostic Python SDK with native integrations for popular agent frameworksDataset exports of LLM completions for cost-effective fine-tuningOn-premise deployment and self-hosting options for private cloud infrastructure