| agent: | Auto Exec |
Troubleshooting: Server is not reachable or unable to connect
Add credentials for various integrations
What is an "Expert"? How do we create our own expert?
Add credentials for various integrations
Managing workspaces and access control
DagKnows Architecture Overview
Setting up SSO via Azure AD for Dagknows
Enable "Auto Exec" and "Send Execution Result to LLM" in "Adjust Settings" if desired
(Optionally) Add ubuntu user to docker group and refresh group membership
Deployment of an EKS Cluster with Worker Nodes in AWS
Adding, Deleting, Listing DagKnows Proxy credentials or key-value pairs
Comprehensive AWS Security and Compliance Evaluation Workflow (SOC2 Super Runbook)
AWS EKS Version Update 1.29 to 1.30 via terraform
Instruction to allow WinRM connection
MSP Usecase: User Onboarding Azure + M365
Post a message to a Slack channel
How to debug a kafka cluster and kafka topics?
Open VPN Troubleshooting (Powershell)
Execute a simple task on the proxy
Assign the proxy role to a user
Create roles to access credentials in proxy
Install OpenVPN client on Windows laptop
Setup Kubernetes kubectl and Minikube on Ubuntu 22.04 LTS
Install Prometheus and Grafana on the minikube cluster on EC2 instance in the monitoring namespace
update the EKS versions in different clusters
AI agent session 2024-09-12T09:36:14-07:00 by Sarang Dharmapurikar
Parse EDN content and give a JSON out
Check whether a user is there on Azure AD and if the user account status is enabled
Installing DagKnows AI Agent
Make sure you have installed the DagKnows CLI installed
- 1Jjt3JOHDKuTGxbFbJQiKConfigure DK CLI
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There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.Configure the DagKnows CLI by providing an access token. This step involves specifying the host address for the SaaS instance where DagKnows is running (this can vary for onprem or custom installations) and entering the access token obtained from the app's settings page. DAGKNOWS_SERVER_URL must be https even when using IP address.
inputsoutputsdk config init --api-host <DAGKNOWS_SERVER_URL>copied1 - 2RHv4dtRqxsM993ubEu0MYou can now use the DK AI Agent with the `dkai` command
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You can now use the DK AI Agent with the `dkai` command
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.inputsoutputsdkai agentcopied2 - 3Tky9cs1gz5YMMCzQPkW6You can configure several tools with your agent with `dkai config`
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You can configure several tools with your agent with `dkai config`
There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.inputsoutputs% dkai config --help Usage: dkai config [OPTIONS] TOOL ╭─ Arguments ──────────────────────────────────────────────────────────────────╮ │ * tool TEXT Name of the tool to configure. Options: ['slack', │ │ 'jira', 'github', 'rundeck', 'elk', 'servicenow'] │ │ [default: None] │ │ [required] │ ╰──────────────────────────────────────────────────────────────────────────────╯ ╭─ Options ────────────────────────────────────────────────────────────────────╮ │ --dagknows-home TEXT Dir for DagKnows configs │ │ [env var: DagKnowsHomeDir] │ │ [default: ~/.dagknows] │ │ --profile TEXT DagKnows profile to use. To set a default run │ │ `dk profiles set-default` │ │ [env var: DagKnowsProfile] │ │ [default: None] │ │ --access-token TEXT Access token for accessing DagKnows APIs │ │ [env var: DagKnowsAccessToken] │ │ [default: None] │ │ --help Show this message and exit. │ ╰──────────────────────────────────────────────────────────────────────────────╯copied3 - 4zxjF5lv0hOFq0zmKbl0VRun DK AI Agent
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There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.inputsoutputsdkai agentcopied4