We open-sourced bash-tool , the Bash execution engine used by our text-to-SQL agent that we recently re-architected to reduce our token usage, improve the accuracy of the agent's responses, and improve the agent's overall performance. bash-tool gives your agent a way to find the right context by running bash-like commands over files, then returning only the results of those tool calls to the model. Context windows can fill up quickly if you include large amounts of text into a prompt. As agents tend to do well with Unix-style workflows like find , grep , jq , and pipes, with bash-tool you can now keep large context local, in a filesystem, and let the agent use those commands to retrieve smaller slices of context on demand.…