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Agentops

Agentops is an AI-powered AI Agents tool — AI agent observability platform. Best for: AI Agents. Pricing: Freemium (GateOnAI Score: 49/100).

AI agent observability platform

FreemiumVerified

Agentops captures runtime data from autonomous AI agents and presents it in an interactive dashboard, allowing engineers to see each decision point, input, and output as the agent processes tasks. The platform records execution traces, latency metrics, token usage, and error codes without requiring code changes, so developers can instrument agents quickly. It supports both single‑agent debugging sessions and fleet‑wide monitoring, giving a clear view of how many instances are active and their health status. Key capabilities include real‑time trace visualization that maps prompts to responses, customizable metric panels for latency, cost, and success rates, and alert rules that trigger Slack or email notifications on anomalies. Agentops aggregates logs from OpenAI, Anthropic, and Cohere APIs, normalizes them, and stores them for searchable replay. Built‑in integration with LangChain, LlamaIndex, and custom SDKs lets teams instrument agents with a single import. Role‑based access controls protect sensitive data, while team comments and issue linking enable collaborative debugging. Export functions generate CSV reports for compliance audits. The service targets AI developers, MLOps engineers, and product teams that deploy conversational assistants, autonomous bots, or workflow automation agents. It helps reduce time spent reproducing flaky behavior and provides cost visibility for budgeting large language model usage. A free tier offers up to 10,000 traced events per month, sufficient for small prototypes, while paid plans raise limits, add SLA‑backed retention, and unlock advanced alerting. Compared with generic logging tools, Agentops adds LLM‑specific context such as token counts and prompt templates, making it a focused observability layer for modern AI applications.

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