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benchmark keeps:\n\n- one pinned upstream source commit\n- isolated GitHub Actions cache usage\n- one per-repo BoringCache workspace name: `boringcache/benchmark-spring-ai`\n- independent workflow history plus upstream-sync-driven benchmark runs and manual dispatches\n\n## Source Model\n\n- Upstream source lives in the pinned `upstream/` submodule.\n\nPinned upstream source:\n\n- see committed `upstream/` submodule on `main`\n\n## What It Measures\n\nFresh lane runs a no-prior-cache cold build plus one warm rerun for each backend:\n\n- `cold`\n- `warm1`\n\nRolling lane records the upstream commit build as-is after each upstream sync against the prior rolling cache and intentionally skips `warm1`.\n\nThe story this benchmark is meant to show is:\n\n- speed on fresh cold and warm paths\n- commit-build behavior on normal upstream syncs in the rolling lane\n- storage footprint in each backend\n- cache reuse through native Maven remote-cache behavior\n\n## Token Model\n\nThis repo uses split BoringCache tokens as the standard CI shape:\n\n- `BORINGCACHE_RESTORE_TOKEN` for read-only restore and proxy access\n- `BORINGCACHE_SAVE_TOKEN` for trusted write paths\n- `BORINGCACHE_API_TOKEN` only where a single bearer variable is still required for compatibility\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fboringcache%2Fbenchmark-spring-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fboringcache%2Fbenchmark-spring-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fboringcache%2Fbenchmark-spring-ai/lists"}