feat(tools/looker-run-dashboard): new run_dashboard tool#1858
Merged
drstrangelooker merged 16 commits intomainfrom Nov 6, 2025
Merged
feat(tools/looker-run-dashboard): new run_dashboard tool#1858drstrangelooker merged 16 commits intomainfrom
run_dashboard tool#1858drstrangelooker merged 16 commits intomainfrom
Conversation
Contributor
Contributor
Contributor
Contributor
Contributor
Contributor
Yuan325
added
the
release candidate
Contributor
Yuan325
changed the title
run_dashboard tool
Yuan325
requested changes
Nov 6, 2025
Co-authored-by: Yuan Teoh <45984206+Yuan325@users.noreply.github.com>
Contributor
Contributor
Author
|
I refactored the go routine like you requested. |
Contributor
Contributor
Contributor
|
🧨 Preview deployments removed. |
6 tasks
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
The run_dashboard tool will run the query associated with each tile of the dashboard and return the full set of query results. It enables the agent to answer questions like "Summarize this dashboard for me".