observing-agentforce

To analyze Agentforce session traces, examine STDM sessions to pinpoint performance bottlenecks and misroutes. This process leverages Data Cloud insights to evaluate production agent behavior and highlight operational inefficiencies for targeted improvements.

The best way to fix Agentforce misroutes and knowledge gaps is to reproduce reported issues in preview mode. After verifying the behavior, directly edit the `.agent` file to refine agent structure and resolve the identified routing problems.

Yes, you need Data Cloud access to troubleshoot Agentforce agent behavior effectively. Data Cloud provides the necessary insights into production agent performance, which requires familiarity with agent structure and configuration to properly analyze and resolve issues.

Data Cloud integration works with Agentforce session tracing by correlating STDM session data with behavioral insights. This combination identifies specific knowledge gaps and performance bottlenecks across production agents to guide precise `.agent` file modifications.

Yes, you can edit the `.agent` file directly to improve agent performance. After analyzing session traces and reproducing issues in preview mode, modifying the `.agent` file allows you to correct misroutes and resolve performance bottlenecks.

To reproduce Agentforce issues in preview mode, use the identified session traces and Data Cloud insights to replicate the exact production scenarios. This verifies the reported misroutes and knowledge gaps before you edit the `.agent` file for resolution.