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            AI Agent for Log Access Management

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            AI Agent for Log Access Management

            Log Access Assistance is a conversational specialized AI agent that helps employees get system and application diagnostic logs. Use this agent to request log extraction across server, cloud, and application environments, define parameters such as time frames and log levels, and facilitate secure delivery. This agent provides telemetry for root-cause analysis.

            Required Editions

            Available in: Lightning Experience
            Available in: Enterprise, Performance, and Unlimited Editions with Agentforce IT Service.

            Service Catalog Items

            This specialized agent automatically uses these SCI templates to fulfill your request. You can configure additional service catalog item templates to support similar applications and request types.

            • Request System Logs

            Agent Actions

            These actions run automatically during your conversation with the specialized agent.

            • Answer Questions with Knowledge
            • Get Eligible Service Catalog Items
            • Execute Service Catalog Item Flow
            • Get Product Launch Card
            • Create Incident For Employee
            Example
            Example

            Requesting application error logs for debugging

            Scenario: Developer Ryan needs error logs from the production API to debug a customer-reported issue.

            • Ryan: I need error logs from the production API for the last 24 hours. We're investigating a customer-reported 500 error.
            • AI Agent: I can retrieve those logs for you. To confirm before I proceed, do you need only ERROR level logs or should I include WARNING level as well?
            • Ryan: Just ERROR level is fine, and filter for the /api/payments endpoint if possible.
            • AI Agent: Your log extraction request has been completed. Error-level logs from the production API for the /api/payments endpoint over the last 24 hours have been securely delivered to your S3 bucket at s3://logs/ryan-20260423/. The file contains 47 error entries. You can download it using the link sent to your email.
             
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