红帽全球峰会第 1 章 Introducing Red Hat Lightspeed for RHEL systems
The Red Hat Lightspeed intelligent functionalities can help you to manage your system environment in a more accessible way, whether you are less experienced with RHEL or already have experience.
The command-line assistant powered by RHEL Lightspeed is an optional AI tool available within the RHEL command-line interface, and includes information from the Red Hat Knowledge Centered Service (KCS) articles, RHEL documentation, and other Red Hat resources. You can use the assistant to get help for example with the following activities:
- Answering RHEL-related questions
- Assistance with troubleshooting and fixing issues
- Understanding log files
- Asking for recommendations
You can use the command-line assistant powered by RHEL Lightspeed for interactive workflows to solve issues, implement new RHEL features, find information, and more. For example, you can run a command and then use the command-line assistant to help you understand the output and possible next steps. Or, you can ask a question on an SSH error, receive suggestions, and ask another question to continue diagnosing the problem.
You can interact with the command-line assistant powered by RHEL Lightspeed by using plain language instead of using complex commands as you might when using a standard command-line interface.
The command-line assistant powered by RHEL Lightspeed does not require direct internet connectivity. This is helpful if you do not want to have every RHEL system directly connected to a service over the internet. Instead, you can proxy all of the requests from RHEL systems through a single proxy system that is connected to the internet.
The RHEL Lightspeed command-line assistant follows the RHEL lifecycle. For information on supported versions and the associated policies, see the Red Hat Enterprise Linux Life Cycle for information on supported versions and the associated policies.
The command-line assistant does not have direct access to the information about the system it is running on. However, you can include information about your environment in the messages you input and which are then sent to the LLM provider. For example, the assistant is unable to provide answers on the free memory available on the system that it runs. Instead, the command-line assistant responds with information about a command that you can run to determine how much free memory there is.
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