feat(evals): add code-as-policy evaluation runtime - #3434
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Add a fixed Pi exploration stage with typed callable policy submission, fresh debug trials, inspectable TrialRun artifacts, and clean agent-free held-out execution.\n\nKeep benchmark lifecycle and privileged scoring evaluation-owned while exposing the complete DimOS runtime to authored policies.
Codecov Report❌ Patch coverage is @@ Coverage Diff @@
## feat/evals-framework #3434 +/- ##
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- Coverage 76.12% 76.09% -0.03%
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Files 1201 1218 +17
Lines 115988 117470 +1482
Branches 10415 10555 +140
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+ Hits 88294 89388 +1094
- Misses 24671 24995 +324
- Partials 3023 3087 +64
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Contribution path
Problem
Interactive robot evaluations need to resemble real operation: a policy should see the complete running DimOS blueprint, while benchmark-owned privileged simulator state remains isolated in the scorer. Agent generation cannot sit inside the realtime task horizon.
Solution
Add a code-policy evaluation layer alongside #3411's existing passive and interactive runtimes:
This PR adds only the generic runtime and plugin interface; a concrete LIBERO adapter remains separate.
How to Test
Results: 3,997 passed, 31 expected skips. Focused evaluation and Memory2 suite: 139 passed.
AI assistance
Codex with GPT-5.6 assisted with architecture exploration, implementation, tests, documentation, and PR drafting. The design and implementation were reviewed interactively by the author.
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