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A failed spawn returned while the ranks already started still wrote to the test's frame, the same pattern #2700 fixed in host.runWith. Both tests now join the ranks they started on every return; in the gather test that also covers rank 0's own steps between the spawns and the join. Every wait in Bootstrap has a deadline, so the join is bounded.
Each app run uploads its ~230 MB AppImage, and with GitHub's default 90-day retention 2,069 copies (475 GB) had piled up in Actions storage by 12 Nov, enough to hit the account's Actions limit. The build is smoke-tested in the job itself; the upload is only for a quick download, which 3 days covers.
A reply that keeps a tool-call envelope as text now carries tensorfold.kept_tool_calls with unoffered and malformed counts and the unoffered names the model wrote, capped at eight names of 64 bytes each. /metrics counts both families. docs/api.md no longer claims an unoffered call comes back as a tool call.
The four bad_tool cases (whole, stream, one call allowed, and its stream) keep an envelope that names the unoffered tool "other", so their tensorfold block now ends with kept_tool_calls: one unoffered, none malformed, names ["other"]. No other expected reply changes; the /metrics cases stay on the known-differences list, which they reach before the new counters.
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With the profiler on, prompt_pair.pairedAt and prompt_solo.at return false (the e.prompt_profs[3] != null term in cuda_prompt_pair.zig and cuda_prompt_solo.zig), so every prompt step is a single chunk. The environment table did not say so, and a profile could be read as the served shape.
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Stopped at #2990: it moved after it was stacked. |
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CI for a landing train: #2814 #2697 #2990 stacked on main in that order. Nothing merges from this PR: each PR above lands on its own once this tip is green, and this PR is then closed.