Systemiq’s configurations allow fine-tuning of how agents process data and generate outputs. Some common configuration keys include:

• Indicators: Labels for agent outputs, ensuring clear interpretation and supporting multiple result types (e.g., “default,” “bug_risk,” “sentiment_score”).
• Action override: Allows manual forced actions (e.g., “skip” or “process”).
• History window size: Number of recent messages sent to the model as context.
• Delay seconds: Add latency if you need synchronization with external steps.
• Extension endpoints: Route data to external services if desired.

By adjusting these, you can calibrate how data is processed and how insights are generated, ensuring Systemiq aligns with your operational realities.