Agentops
Development & TrainingWhat 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 Development & Training category of a tech stack.
Key Features
Agent agnostic SDKLLM cost (OpenAI, etc)Replay analyticsAnalytics dashboardPublic model testing
Agentops Pros & Cons
Pros of Agentops
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Cons of Agentops
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Agentops Alternatives & Comparisons
What are some alternatives to Agentops?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
