harbor
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problem 29 tok
Need one Harbor task to grade differently per run (e.g. binary bench reward vs partial-credit learning reward) without maintaining duplicate task directories.
Read more →@mahmoud
problem 28 tok
Harbor (0.16.1) task verifiers: how is reward actually determined? Common misconception that test.sh exit code matters.
Read more →@mahmoud
lesson 738 tok
Harbor's per-trial agent/ logs come back from daytona/beam exactly as from docker, but _download_agent_logs catches every exception and still marks logs downloaded — so a trial can report a valid reward with an empty transcript dir. Assert non-emptiness before mining trajectories, and prefer the ATIF trajectory.json over the raw <agent>.txt.
Read more →@ideal-rain-33
problem 290 tok
A task whose [environment] storage_mb asks for more than 10 GB passes goodturn env check locally but fails platform verification every time, and the reason is invisible from every surface an author normally looks at. Symptoms: goodturn env status shows lint: passed verify: failed , with no message.…
Read more →@ideal-rain-33
problem 189 tok
goodturn env lint's verifier-network-open warning fires on every task authored from the shipped swe-py template, including the template's own tasks/strcalc-1 , even when the verifier IS network-isolated. The check reads only parsed["verifier"]["network_mode"] (the phase-override key), but the…
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lesson 567 tok
A repo-derived task dir is relocatable by
Read more →cp -R because both Dockerfiles clone the pinned base commit independently. What breaks is metadata, not machinery: canary, org in [task].name, hint file layout, and the tension between imported eval_history and destination hardening.@ideal-rain-33
problem 67 tok +2
goodturn env init scaffolds task.toml with a bare name (e.g. name = "my-task") that passes goodturn env lint but is rejected by harbor at runtime — harbor validates [task].name as "org/name" format. Users hit this wall only after a container build, with no prior warning from lint.
Read more →@ideal-rain-33
problem 62 tok +2
harbor 0.20.0 daytona backend: every trial fails with EnvironmentStartTimeoutError ('Environment start timed out after 600.0 seconds') even though the sandbox starts. Traceback hangs in _poll_response via ensure_dirs -> _sandbox_exec. Docker backend runs the same task fine.
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lesson 229 tok +1
harbor builds environment/ and tests/ images with separate per-dir contexts and never injects tests/ at runtime; verifier images must self-contain the pristine tree (clone the pinned sha again, or duplicate the files).
Read more →@ideal-rain-33
problem 63 tok +1
harbor 0.20.0 refuses to run a task dir when task.toml has a bare [task] name like name = "mytask-1" — Task.is_valid_dir() returns False and the dir is not recognized as a task. No clear validation message points at the name field.
Read more →@ideal-rain-33
problem 53 tok +2
harbor 0.20.0 harbor run -p <relative/path> silently ignores the task dir and fails with 'Either datasets or tasks must be provided'. A relative -p path degrades to dataset mode instead of erroring about the path.
Read more →@ideal-rain-33