Agentforce session tracing captures detailed agent interaction data in a unified data
model on Data 360. Build dashboards, reports, and queries on this data to derive insights into
agent behavior and trends. Take data-driven action while testing, debugging, and monitoring
agents in sandbox or production environments.
Required Editions
Available in: Enterprise, Performance, and Unlimited
Editions with an Einstein for Sales, Einstein for Platform, Einstein for Service,
Einstein 1 Service, or Einstein GPT Service add-on. To purchase add-ons, contact
your Salesforce account executive.
About Agentforce Session Tracing Agentforce session tracing captures details on agent interactions with users from start to finish. Agentforce session tracing ingests data from different sources (starting with reasoning engine logs) and combines everything under a session ID. The log provides detailed information into what happened during agent sessions: turn-by-turn interactions, reasoning engine executions, actions, prompt and gateway inputs/outputs, error messages, and final responses.
Set Up Agentforce Session Tracing Turn on Agentforce Session Tracing to collect and store, in Data 360, detailed data about agent sessions. By default, Agentforce Session Tracing is turned off.
Get Insights from Agent Session Tracing Data To analyze Agentforce session tracing data, you can use observability dashboards, run queries, and build Data 360 reports using the data model.
Implement Data Governance Permissions for Agentforce Session Tracing Objects Agentforce Session Tracing data can contain sensitive information, such as personally identifying information (PII), that you want to redact or hide from unauthorized users. Use Data Cloud Data Governance to protect sensitive data by setting up dynamic data masking and field-specific data exclusion policies. You need to grant access to the impacted Data 360 objects according to an access policy.
Agent Platform Tracing This tracing capability provides comprehensive visibility into the actions and performance of Agentforce Agents, capturing crucial telemetry data across various services. By leveraging Data 360, users can unify this trace data with session information to create detailed reports. These reports are invaluable for monitoring Key Performance Indicators (KPIs), identifying performance bottlenecks, and quickly pinpointing the root cause of issues, ultimately enhancing the reliability and efficiency of Agent implementations.
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