Run a Deployed Flow
Send a user identifier and variables matching your deployment.
/oo StackAI: Run the connected StackAI flow for user [user ID] with these JSON variables: [variables]. Summarize the returned result.
Ask your AI assistant to work with StackAI: run deployed flows and inspect run metadata.
Copy a prompt into your agent with the oo Skill installed. Add your page links and source notes before running it.
Send a user identifier and variables matching your deployment.
/oo StackAI: Run the connected StackAI flow for user [user ID] with these JSON variables: [variables]. Summarize the returned result.
Retrieve metadata for a previously started run.
/oo StackAI: Get metadata for StackAI run [run ID] and explain the fields returned.
Set up oo CLI and the oo Skill in your agent.
Install OOMOL →Connect with a public API key, organization ID, and deployed flow ID.
Connect StackAI →Use /oo with the pages to read, the changes to make, and where to save the result.
Connection Guide →Choose Your Agent
StackAI runs your deployed flow with JSON variables and exposes metadata for a known run.
Send a user identifier and variables matching your deployment.
Retrieve metadata for a previously started run.
Run a deployed Stack AI flow with JSON variables and return its normalized result.
stack_ai.run_flow Fetch metadata for one previously started Stack AI run.
stack_ai.get_run_metadata No matching tools.
It runs an already deployed flow; configure and deploy the flow in StackAI first.
Use the JSON input variables expected by your deployed flow.
The metadata action describes a run; use the result returned by the flow action for its output.
Manage which optional storage OOMOL can use. You can change these choices from the footer at any time.