The evolution of Red Hat Ansible Lightspeed

The evolution of Red Hat Ansible Lightspeed Expanding generative AI within the Ansible Automation Platform user experience Getting started with Ansible Lightspeed intelligent assistant Additional resources Red Hat Ansible Automation Platform | Product Trial About the author Tricia McConnell More like this Blog post Blog post Original podcast Original podcast Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Today we're formally releasing the Red Hat Ansible Lightspeed intelligent assistant, a generative AI service which delivers an intuitive chat assistant embedded within Ansible Automation Platform. The Ansible Lightspeed intelligent assistant is like having an Ansible subject matter expert right at your keyboard. The service integrates documentation directly into the Ansible administrative and operations experience for faster troubleshooting and onboarding, as well as support for the day-to-day management of your automation itself. Ansible Lightspeed intelligent assistant within Ansible Automation Platform This generative AI service is a result of a concerted effort by our product and engineering teams to improve the overall platform user experience for both automation administrators and IT operators. Examples of this include a simplified and unified UI, the release of self-service automation to empower more users, a new on-premise analytics dashboard to measure performance, a fleet of new collections for managing the platform, and more. When we initially launched Red Hat Ansible Lightspeed with IBM watsonx Code Assistant in 2023, its purpose was to provide a robust coding assistant designed to help boost engineering and developer productivity during the creation of Ansible content, including playbooks, roles or tasks. We later embedded features such as content explanation and content source matching for greater transparency and context for model responses as well as prompt refinement and model customization for greater relevance and accuracy. Tapping into IBM's Granite code models and trained on Ansible-specific data sources, the coding assistant democratizes access to automation and helps onboard new users as they familiarize themselves with the Ansible language and syntax. With the intelligent assistant, we bring similar value to Ansible Automation Platform administrators and operators by reducing friction and swivel-chair operations, allowing these users to remain within the platform experience to research, troubleshoot, and resolve common questions and issues. The intelligent assistant can respond to prompts like: "What is an execution environment?" "How do I manage user access to Ansible Automation Platform?" "Explain the "ERROR! couldn’t resolve module/action” error message?" "How do I configure Event-Driven Ansible?" Using a retrieval augmented generation (RAG) pipeline connected to Red Hat documentation and other resources, the intelligent assistant also provides referenced links to additional documentation to help you explore a given topic in more detail. Ansible Lightspeed intelligent assistant prompt, response, and referenced resources Additional roadmap items for the intelligent assistant include expanding data sources to provide visibility into the health and performance of your automation itself. For instance, you will be able to get assistance with prompts such as: "Why did my automation 'VM-migration' job fail?" "Show me all inventories that are included in my Ansible Automation Platform deployment.