You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
make publish (and make clean-dist) target to build and publish dlthub-start to PyPI, with accompanying README and CONTRIBUTING docs.
Changed
Agent selection is now single-select: you choose exactly one coding agent (claude, cursor, or codex) instead of several. --agent takes a single value and --yes uses the recommended claude. AI files are vendored per-agent under _agents/<agent>/ (each with its own .dlt/.toolkits), and only the selected agent's files are written to the new workspace — fixing the bug where one selection still shipped the other agents' toolkits (notably codex's .agents/). generate_ai.py now generates each agent in isolation.
The minimal workspace is now a complete, runnable "Hello World" example: pipeline.py ingests a public sample online-shop REST API (sample_shop), a new report_notebook.py (Marimo) charts the loaded data, and a new README.md walks through the ingest → load → visualise → deploy loop. Next-steps copy and the "Created" panel updated accordingly; pyproject.toml gains marimo and altair.
The recommended default scaffold is now minimal_workspace: --yes and the interactive picker default to the minimal single-pipeline workspace, which is also listed first in the scaffold options.
Bumped WORKBENCH_REF to c4250057 and refreshed the bundled AI workbench scaffold.
Polished the Hello World onboarding: the minimal scaffold's picker label is now "Hello World", the agent-selection prompt reads "Choose your coding agents", and the post-setup "next steps" show a relative cd path.
Renamed the minimal workspace's sample job load_data → load_sample_shop and dropped its expose display name (so the dltHub UI shows a single, clear job name).
The minimal workspace now depends on dlt[hub,filesystem].
Removed
Dropped the data-quality and transformations toolkits from the bundled scaffolds (removing the related skills, including ontology/CDM modeling).
Dropped the sql-database-pipeline and filesystem-pipeline toolkits from the bundled scaffolds, leaving data-exploration, dlthub-platform, and rest-api-pipeline.