chartbrew/chartbrew v5.2.0

on GitHub

Changelog

✨ New features

• Jira integration
  Added a new Jira connection to Chartbrew, making it possible to create dashboards and reports from Jira data.

• AI harness for the orchestrator
  Added an AI harness to give the orchestrator clearer guidance, safer boundaries, and better regression coverage for AI-driven workflows.

• Dashboard scheduling by day of week
  Added the option to select specific days of the week when configuring dashboard updates or snapshot schedules.

🚀 Feature improvements

• Added AI orchestrator support for more connection types:
  • Firestore
  • RealtimeDB
  • Customer.io
  • Google Analytics
  • API connections
• Added source-specific AI context so the orchestrator has better guidance when working with API sources.
• Better defined orchestrator source tools.
• Added compact query generation instructions for database sources.
• Added an AI harness test suite to prevent regressions.
• Improved AI Modal performance, polish, and tool display names.
• Added a dashboard creation tool for the AI orchestrator.
• Added a dashboard starter guide for empty dashboards.
• Added a new navbar inbox showing the latest articles from the Chartbrew blog.

🐛 Bug fixes

• Fixed an issue where the orchestrator did not run the chart update after changing a dataset.
• Fixed compiled metric calculations for Stripe.
• Fixed regression with summing data on monthly intervals.
• Fixed a JQL issue for Jira requests using variables as date boundaries.

⬆️ Other changes

• Updated dependencies.
• Added .dockerignore to improve Docker build context usage.
• Optimised CI by skipping Playwright installs when they are not needed.