Minor bump on 1.0.0, per core/docs/buffer-sizing.md.
B4 — bufferBytes bounds corrected in all four locations (DownloadSpec,
TaskDetail, download.update's patch, Settings.connection.bufferBytes): was
4 KiB-8 MiB with no stated default, now 64 KiB-16 MiB with a 1 MiB default.
64 KiB because 4 KiB is smaller than one libcurl HTTP/2 write-callback delivery;
16 MiB because throughput from write size is flat past ~1-4 MiB and past 16 MiB
there is stall-cover left to buy but no memory left to spend it on; 1 MiB
default because it is the only candidate for which docs/04's 60 MB RSS target
actually holds once buffers are counted per segment, not per download.
Two new settings keys: connection.maxTotalBufferBytes (128 MiB default) and
connection.maxActiveSegments (32 default). Without them CORE's clamp — reduce
every live segment's buffer to fit the global cap — has no wire configuration
surface, and "20 active downloads" has no meaning distinct from 160 live TLS
connections.
B2a — TaskDetail.effectiveBufferBytes: what a segment is actually using right
now, after the clamp. Placed on TaskDetail next to bufferBytes, following the
requested/effective pattern ADR 0010 already established for segments. The
download.get fixture now demonstrates a real clamp (16 MiB requested, 4 MiB
effective) rather than a case where the cap happens not to bind.
docs/04-engine-design.md §4 and §8 updated in the same change per CORE's
request and CLAUDE.md rule 5: the RSS target is now stated as conditional on
maxActiveSegments = 32, and the old 4 MiB/64 MiB/256 MiB numbers are corrected
to match the schema. ADR 0012 records the reasoning and explicitly keeps the
60 MB target over CORE's offered 120 MB alternative, with the arithmetic that
makes 60 MB achievable with margin.
Numbered 0012 rather than 0011: DAEMON is independently drafting ADR 0011
(admission control / segment budget split) in a peer session at time of
writing, so 0011 was reserved to avoid a collision.
Co-Authored-By: Claude Sonnet 5 <[email protected]>
Claude-Session: https://claude.ai/code/session_012fgjnqFCS5h5L7gZTZo3rV