chore(ai): bump AI workbench to e82e1029 and regenerate scaffolds - #74
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Bumps WORKBENCH_REF f290a9b -> e82e1029 and regenerates the bundled Claude/Codex/Cursor scaffolds. Upstream changes: - adds a `performance` toolkit to the router index - deploy-run-sample-pipeline explains data loads into a hosted playground destination (not for production) - dlthub-router only runs `dlthub ai status` when the install output is unclear, instead of always Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Overview
Bumps the bundled AI workbench (
WORKBENCH_REFf290a9b→e82e1029) and regenerates the Claude/Codex/Cursor scaffolds viamake update-ai. Content-only change fromdlt-hub/dlthub-ai-workbench; no CLI logic touched.Upstream changes
performancetoolkit in the router index — "optimize / speed up a slow or memory-heavy pipeline →performance→optimize-performance".deploy-run-sample-pipelinenow tells the user their data loads into a dltHub-hosted playground destination (zero setup, no credentials, playground/onboarding only — not production), and repeats it at "Onboarding complete."dlthub-router/ init rule relaxed: agents trust the toolkit install output and only rundlthub ai statuswhen it's ambiguous or MCP hasn't been verified that session, instead of always.All three agents (claude/codex/cursor) mirror the same content; the
config.pyref bump and.dlt/.toolkitssha manifests are bookkeeping for the above.Tests
make check-aiclean,make test(168) + ruff/mypy pass.🤖 Generated with Claude Code