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New Databricks Tool Bars LLMs from Doing Cost Arithmetic to Prevent Financial Errors

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A developer has released a cost-analysis tool called databricks-cost-leak-hunter, part of the databricks-pack v2 rebuild on the claude-code-plugins marketplace, designed to identify spending inefficiencies in Databricks workspaces. The tool's core design principle is that the AI model is architecturally prevented from performing any dollar calculations itself, as LLM-generated financial figures can be plausibly wrong while appearing credible and well-formatted. Instead, all monetary values are derived directly from the customer's own billing tables by joining system.billing.usage with system.billing.list_prices via SQL, ensuring figures reflect what Databricks actually charged. The skill also includes a fail-fast permission check that halts execution and returns precise remediation steps if the required data access grants are missing. The tool received a grade of B (88/100) from the marketplace validator with zero errors reported.

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New Databricks Tool Bars LLMs from Doing Cost Arithmetic to Prevent Financial Errors · ShortSingh