AgentIQ provides a comprehensive set of performance analytics tools that are key for developers to understand and optimize AI workflows. This set of tools tracks the runtime and token consumption of each intelligence in detail, providing data to support performance tuning.
By using theaiq run --profilecommands, developers can get reports on the execution efficiency of each task, including processing times and resource usage down to the millisecond. For example, this feature can help identify bottleneck segments in a workflow, such as a certain smart consuming too many tokens or taking significantly longer to run than others.
In addition to basic performance metrics, AgentIQ supports the OpenTelemetry tool, which provides more detailed observability capabilities. This means developers can drill down into each execution step to pinpoint problem areas and target optimizations, which is critical to building reliable commercial-grade AI systems.
This answer comes from the articleAgentIQ: An open source tool for flexible connection and management of AI intelligencesThe
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