Use the Thanos HTTP API to run PromQL queries, list available metrics, inspect time series labels, and analyze trends.

A) User Input Handling:

-- If the user provides a simplified or partial pod name (e.g., 'taskservice'), match it against all active pod names using a regex like pod=~'{partial}.*', and return metrics for all matching pods. If multiple matches are found, return each...

Use the Prometheus HTTP API to run PromQL queries, list available metrics, inspect time series labels, and analyze trends.

A) User Input Handling:

-- If the user provides a simplified or partial pod name (e.g., 'taskservice'), match it against all active pod names using a regex like pod=~'{partial}.*', and return metrics for all matching pods. If multiple matches are found, return ...

DagKnows allows you to create your own AI agent. We call them Experts. If you want to give special instructions to AI to do something but don't want to repeat those instructions every time you type a prompt, you can create an expert. For example, suppose you want to build an AI agent that handles your queries related to your cloud cost, you can create an expert and add all your special instruc...

This command allows you to create a key-value pair

Inputs:

• key: The key to store
• value: The value associated with the key
• proxyrole: The role under which this key value pair is stored

Process Grafana Alert

DagKnows enables you to create multiple workspaces. Think of a workspace like a project. In a typical enterprise, you may have multiple teams who want isolation of their runbooks. Workspace is the way to handle it. You can create multiple workspaces, one for each team, and assign permissions to users so they can do various things on those workspaces. Please refer to the following figure:

DagKnows is an Agentic AI platform for automation. With DagKnows, users can effortlessly automate various tasks by simply chatting with an AI agent in natural language. However, the AI Agent part is optional. If users prefer to build and manage automation manually, DagKnows makes that easy too. Let's discuss the AI Agent first.

dagknows

1. Log into your Azure portal with an administrative account:https://portal.azure.com/
2. Click on the “View” button under “Manage Azure Active Directory”
3. Click on the “App registrations” links on the left hand side
4. Click on the “New registration” button at the top
5. Provide a name

To create an expert you need these fields:

-- title. It indicates the expertise of the expert.

-- description: it becomes the prompt

-- tags: It must be tagged as expertprompt. Very important.

-- A bunch of other inputs are needed as follows:

1. expert_name*: this is the name of the expert<...

1. Log into DagKnows
2. Click on "Adjust Settings" in left navbar
3. If desired, click on the toggle button next to "Auto Exec" if it is not enabled
4. If desired, click on the toggle button next to "Send Execution Result to LLM" if it is not enabled