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For a detailed list of all changes, see the Changelog. For details about versioning, see our Versioning Policy.

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6.2.0

2026/07/27

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New Features

  • The Atoti chat now uses dynamic tool discovery. Instead of sending every available tool with each request, the model searches a keyword index for matches. This reduces token usage and improves tool selection.
  • The Atoti Java SDK now includes a Dimension API to control which cube attributes are exposed to the AI tools.
  • Auto-Explain, which identifies the root causes behind measure variations, now has a Python API in the Atoti Python SDK. See How to set up Auto-Explain in Python.
  • The Atoti Python SDK now offers Session.chat to start a chat session against a cube.
  • The Atoti Python SDK now exposes the AiConfig.disclaimer attribute, letting the disclaimer shown with AI responses be customized. See How to set up a custom disclaimer in Python.

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Improvements

  • The chat system prompt was improved to help the LLM navigate the UI.
  • Fixed the Atoti MCP Server credentials page, which failed to load when the application ran under a custom context path.