DEFINITION
AgentOps can be defined as a set of tools, processes, and methods that can be used to monitor, assess, manage and improve your AI agents. By using AgentOps, organisations can monitor how well the agent is performing, what tools are being used, how long it took to run, how much it cost to run, any errors that occurred and the quality of the output produced. Additionally, AgentOps can also help you debug, test, version control and monitor your AI agents.
Importance
- Monitor performance of the agent.
- Monitor cost of using the models.
- Ensure reliability by identifying any failed tasks, unexpected behaviours and bottlenecks.
- Supports you to test and refine your agents.
Use Cases
- Monitor enterprise level AI agents.
- Debug AI agents which are producing incorrect outputs or failing to use tools.
- Monitor latency and cost for multiple agents.
- Evaluate the performance of your AI agents after changes have been made to your models/prompts.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.
