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  "sourcesContent": ["import{jsx as e,jsxs as t}from\"react/jsx-runtime\";import{Link as n}from\"framer\";import{motion as a}from\"framer-motion\";import*as r from\"react\";export const richText=/*#__PURE__*/t(r.Fragment,{children:[/*#__PURE__*/e(\"h5\",{children:\"New and Noteworthy\"}),/*#__PURE__*/e(\"ul\",{children:/*#__PURE__*/t(\"li\",{\"data-preset-tag\":\"p\",children:[/*#__PURE__*/t(\"p\",{children:[\"In beta: you can now \",/*#__PURE__*/e(n,{href:\"https://docs.panther.com/data-onboarding/custom-log-types#generating-and-testing-a-data-schema-for-a-custom-log-from-data-in-s3-beta\",motionChild:!0,nodeId:\"dttwC6hDA\",openInNewTab:!0,relValues:[],scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"generate schemas from AWS S3 buckets\"})}),\".\\xa0\"]}),/*#__PURE__*/t(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"In previous versions of Panther, before onboarding logs from S3 buckets, you first needed to create schemas with the pantherlog CLI tool. 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