The Point: datasette-agent 0.1a3 provides better visibility of SQL queries, reduces visual clutter by removing empty reasoning chunks, and improves the display of truncated responses.
The new version 0.1a3 of datasette-agent extends the LLM-powered assistant for Datasette with improved features for SQL query display and error handling. The updates enhance usability when working with databases through AI-powered query agents.
The new pre-release version 0.1a3 of datasette-agent, an agent based on large language models for Datasette, is now available. Datasette is an open-source platform for database management and data analysis.
The version update includes three concrete improvements: First, “View SQL query” buttons are added for both visible tables and collapsed SQL query tool invocations. Second, empty reasoning chunks are no longer displayed, which cleans up the user interface. Third, the handling of truncated responses has been improved so that tables continue to be displayed to the user even when the SQL results are truncated when displayed by the agent.
The changes aimed to increase the transparency of AI-powered query processes while maintaining a clean user interface. For practitioners using Datasette for data analysis with AI support, these improvements make it easier to understand the operations performed by the agent and to handle errors when results are incomplete.
Source: ainews-dev.lumi-systems.io · Published 21 May 2026
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