What is Agentops?
It is the toolkit for evaluating and developing robust and reliable AI agents. Build compliant virtual employees with observability, evals, and replay analytics. No more black boxes and prompt guessing.
Agentops is a tool in the Agent Platforms category of a tech stack.
Key Features
Agent agnostic SDKLLM cost (OpenAI, etc)Replay analyticsAnalytics dashboardPublic model testing
Agentops Pros & Cons
Pros of Agentops
No pros listed yet.
Cons of Agentops
No cons listed yet.
Agentops Alternatives & Comparisons
What are some alternatives to Agentops?
Power Virtual Agents
It empowers teams to easily create powerful bots using a guided, no-code graphical interface without the need for data scientists or developers. It addresses many of the major issues with bot building in the industry today. It eliminates the gap between the subject matter experts and the development teams building the bots, and the long latency between teams recognizing an issue and updating the bot to address it. It removes the complexity of exposing teams to the nuances of conversational AI and the need to write complex code. And, it minimizes the IT effort required to deploy and maintain a custom conversational solution.
crewAI
It is a cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, it empowers agents to work together seamlessly, tackling complex tasks.
LangSmith
It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.
