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https://github.com/deepseek-ai/deepseek-harness
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Providers stream token-sized deltas, so a session log stores hundreds of near-identical assistant/chunk lines whose JSON envelopes dwarf their payloads (~56x measured on a real DeepSeek session, 73% of file bytes). Add a lossless storage codec to dsh-session: packChunkRuns() folds each run of >=3 consecutive same-block delta chunks into one storage row -- text-chunks / reasoning-chunks / tool-call-chunks, bare slash-less tags like the header line's 'session' so rows cannot be confused with session events -- and decodeStorageRecord() expands rows back to the exact original events (seq0/time0 + dt gap array reconstruct every member's seq/time; tool-call rows carry the run-constant id/name). The encoder whitelists exact shapes and stores anything unrecognized verbatim; the decoder validates row-tagged values and fails loud on malformation. The JSONL backend gains a packChunks config (default false). Writing packs only when enabled -- default-off output stays byte-identical to the previous layout, so snapshot goldens are untouched. Reading is layout-blind: scanLog always decodes rows and now checks seq contiguity with a cursor instead of the line index, so packed, unpacked, and mixed files all load identically. Fixture readers (llm-replay parseSessionLog, acp-snapshot normalizeSessionLog) share the codec; the normalizer zeroes a row's time0/dt exactly like an event's time. The two demo bundles plumb packChunks from cordis.yml to the backend. Measured on a real coding session: 105 KB -> 42 KB (-60%), 475 lines -> 74, with reasoning/tool-call heavy sessions saving the most. Covered by example + fast-check round-trip codec tests, backend packed/mixed/torn- tail specs, and an end-to-end demo run loading a packed log through a default-config backend.