AgentOps
Overview
A developer platform for testing and debugging AI agents, offering tools for monitoring, cost tracking, and performance evaluation.
AgentOps is a developer platform designed to facilitate the testing, debugging, and monitoring of AI agents. It provides comprehensive tools for session replay analytics, LLM cost management, and agent benchmarking. With native integrations for frameworks like CrewAI, AutoGen, and LangChain, AgentOps enables developers to build reliable AI agents from prototype to production. The platform offers features such as visual event tracking, time travel debugging, and detailed cost tracking across multiple agents, enhancing the efficiency and reliability of AI agent development.
Some of the use cases of AgentOps:
- Monitoring and debugging AI agent performance.
- Tracking and managing costs associated with large language model usage.
- Benchmarking AI agents against a wide range of evaluations.
- Integrating with popular AI frameworks for seamless development.
AgentOps Video:
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