SQLAS — SQL Agent Scoring Framework. Production-grade evaluation for Text-to-SQL and Agentic SQL agents with guardrail, visualization, agentic quality, and cache performance metrics.
SQLAS is a LLM eval & observability product. It focuses on evaluating and benchmarking Text-to-SQL and agentic SQL agents for quality and performance. It is built as an open-source project for AI researchers and developers working with SQL agents. SQLAS is open source under the MIT license. It runs on the web and the command line.
Behind SQLAS is thepradip, and the product first shipped in 2026. Development happens publicly on GitHub with 97 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — SQLAS occupies a relatively distinct niche. Key capabilities include text-to-SQL evaluation, agent scoring, and visualization tools.
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