Tutorial Builds Read-Only SQLite Analytics Layer as Safe Foundation for LangChain Agents

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A new developer tutorial from Gate of AI demonstrates how to build a deterministic, read-only CSV-to-SQLite analytics layer designed to serve as a safe boundary for LangChain-style AI agents. The guide deliberately avoids presenting unverified agent-framework code as production-ready, focusing instead on the application-controlled portion of the pipeline. It walks developers through creating a CSV file, importing it into a local SQLite database, validating read-only SQL queries, and capping returned rows to limit exposure. The tutorial uses only Python 3.10+ and its standard library, with pytest as the sole optional dependency. Its core argument is that language models should never receive writable database connections, shell access, or secrets — with query limits, authorization, and data ingestion remaining under strict application control.

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