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release.2026-09-07T09-32-29Z.2963

teableio/teablerelease.2026-09-07T09-32-29Z.2963Sep 7, 2026by tea-artist

AI Summary

This release introduces reusable credential management with granular access controls and visibility, enhances AI safety by requiring confirmation for credential usage, and expands Scraper capabilities with new discovery features and reliability improvements.

Key Highlights

  • Credential Management: Personal API keys and third-party connections are now managed as reusable credentials with per-resource access controls.
  • AI Safety: AI-assisted building now requires confirmation before using credentials and masks secrets in test output.
  • Scraper Expansion: Added a Scraper option to the chat menu and supports natural-language dataset discovery.
  • Bug Fixes: Resolved issues with idle tables stuck on calculation status and text searches failing on inconsistent dates.

New Features

  • Reusable credentials managed in Settings › Integrations with per-resource access controls.
  • Collaborators can securely bind their own credentials using placeholders in Apps and Automations.
  • AI-assisted building requires confirmation and masks secrets in test output.
  • Scraper option added to the chat '+' menu for curated datasets.
  • Natural-language dataset discovery and clearer input details for scrapers.

Full Release Notes

## Feature Updates
- Personal API keys and third-party connections are now managed as reusable credentials in Settings › Integrations, with per-resource access controls and clear usage visibility.
- Apps, automations, and copied or imported resources retain credential placeholders instead of secret values, allowing collaborators to securely bind their own credentials. Resources can also use credentials from multiple users under separate aliases.
- AI-assisted building now requires confirmation before using credentials and masks secrets in test output.
- Added a Scraper option to the chat “+” menu for curated datasets, with localized prompts and access based on permissions and scraper settings.
- Expanded scraper support beyond the curated catalog, including natural-language dataset discovery and clearer required input details.

## Bug Fixes & Improvements
- Fixed idle tables remaining stuck on “checking calculation status” when unrelated tables had queued calculations.
- Fixed text searches failing or being skipped when records contained inconsistent or unsupported date values.
- Fixed credential usage summaries to count only hidden resources and improved truncation for long resource names and aliases.
- Improved scraper reliability by preventing unavailable posts from being treated as verification failures and reducing premature LinkedIn timeouts.