feat(v1): support Harbor's separate verifier environments#2067
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ApprovabilityVerdict: Needs human review This PR introduces a significant new feature (separate verifier environments) with complex artifact collection, runtime lifecycle management, and scoring flow changes. An unresolved P1 comment identifies a bug where the tar archive initialization uses invalid bytes that would cause separate-mode scoring to fail. You can customize Macroscope's approvability policy. Learn more. |
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Cursor Bugbot has reviewed your changes and found 1 potential issue.
❌ Bugbot Autofix is OFF. To automatically fix reported issues with cloud agents, enable autofix in the Cursor dashboard.
Reviewed by Cursor Bugbot for commit a1e275d. Configure here.
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Overview
Adds Harbor v1 support for grading in a fresh verifier runtime while keeping shared-mode behavior unchanged. Separate grading uses the current rollout lifecycle: rollout-scoped servers close first, harness metrics finish on the agent runtime, and task scoring moves to an isolated runtime only after confirmed teardown.
Details
public/no-networkpolicy.pre_artifacts.sh, then transfers only declared main-service filesystem artifacts at their original paths with relative-path and exclude-pattern support./tests, and restores artifacts into the fresh runtime.reward.jsonscalars or maps withreward.txtfallback; shared-mode reward behavior remains unchanged.This keeps artifact handoff and runtime ownership explicit while using Verifiers' existing task, rollout, and server lifecycle interfaces.
Fixes RES-1090
Note
Add separate verifier runtime support for Harbor tasks
task.toml._collect_artifacts(), the agent sandbox is confirmed stopped, then a fresh verifier runtime is provisioned with artifacts and tests restored before scoring runs.Task.scoring_runtime()as an extension point,provision_runtime()context manager in runtimes/init.py, andRuntime.stop_confirmed()/teardown_confirmed()for explicit deletion confirmation across Docker and Prime runtimes.Runtime.read()now supports bounded reads with amax_byteslimit; oversized files raiseSandboxError. Reward files (reward.json) are read with this bound.Macroscope summarized b21138c.
Note
High Risk
Changes rollout teardown/scoring order, confirmed sandbox deletion, and Harbor artifact transfer with size/path limits—mistakes could leak agent state into grading or fail scoring on valid tasks.
Overview
Harbor separate verifiers now grade in a fresh runtime after the agent phase: declared artifacts are collected and validated, the agent box is torn down with confirmed deletion (
stop_confirmedon Docker/Prime), then tests and restored files run in a new verifier runtime derived from the task’s Docker/Prime policy (image, resources, workdir, public/no-network).Rollouts gain
Task.scoring_runtime(): harness scoring stays on the agent runtime; task scoring can enter a separate async context. Separate scoring is rejected for borrowed runtimes or shared tool servers.Runtime plumbing:
provision_runtime()replaces manual start/stop in agent provisioning and MCP launch;Runtime.read()accepts optionalmax_bytes(Docker, Prime streaming, default shell path); harness cleanup can run whenstop_failedis set.Harbor parsing uses Harbor’s validated config for shared vs separate mode, artifacts, verifier env, and explicit errors for allowlists, sidecars, and multi-step tasks; rewards read bounded
reward.json(scalar or map) withreward.txtfallback. Docs note separate verifier mode and updated parity gaps.Reviewed by Cursor Bugbot for commit b21138c. Bugbot is set up for automated code reviews on this repo. Configure here.
Fixes RES-1093