Agent Builder

Agent Builder

Users of AI Toolkit can sign up for access to an Alpha version which includes the AI Toolkit Agent Builder.

Users of AI Toolkit can sign up for access to an Alpha version which includes the AI Toolkit Agent Builder.

The AI Toolkit Agent Builder lets you create, test, and deploy an AI agent. AI Agents use large language models (LLMs) and external tools to perform complex, multi-step tasks such as data analysis.

Note: Participation in this feature preview is completely optional.

Agents you create can analyze data across your technology stack without the need to write any code. You can leverage agents to convert manual, repetitive tasks into consistent and automated tasks that are unique to your organization and workflows.

Requirements Permalink to this section

You must be a Splunk Cloud Platform customer to use this version and try the preview of the AI Toolkit Agent Builder feature.

You must also upgrade the Python for Scientific Computing (PSC) add-on to version 4.2.5 from Splunkbase

Note: The expectation is that this feature will be generally available later this calendar year

Permissions Permalink to this section

  • You must have the edit_agent_connections capability to add Knowledge Base and MCP connections.

  • You must have the run_agents capability to create and run an AI Agent.

Note: Users with the mltk_admin role have both these capabilities by default.

Participating in the preview Permalink to this section

This version of the toolkit is not available on Splunkbase and requires the signing of an end-user license agreement (EULA) through the Splunk Voice of the Customer (VOC) portal.

Complete the following steps:

  1. From Splunkbase download and install version 4.2.5 of the Python for Scientific Computing (PSC) add-on.

  2. Splunk Cloud Platform users with admin privileges can go to the VOC page and select the AI Agent Builder from the list of preview features available.

  3. Review and sign the EULA.

  4. Email your stack ID (stack name) and which AWS region it is present in to splunkai@cisco.com.

  5. Your stack ID and AWS region are reviewed by members of the Splunk team and onboarding you to the preview version is completed.

  6. You will be notified by email with access to the preview version of the AI Toolkit which includes the Agent Builder feature.


Source: /en/splunk-cloud-platform/apply-machine-learning/use-ai-toolkit/5.6.4/ai-toolkit-commands-macros-and-visualizations/feature-preview-ai-toolkit-agent-builder (upstream Splunk AITK 5.6.4 docs)

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