[sachalmalick]

This adds typed batch-demand, online-load/concurrency, dispatcher-feedback, and leased drain-decision contracts to Planner. The shared core and plugin schemas give collectors, policies, runtimes, and external plugins one validation-safe boundary for batch scheduling data.

CLOSES: LLM-182

How This Was Implemented

• Add core dataclasses for batch jobs, pool traffic, dispatcher feedback, aggregate observations, and leased admission decisions.
• Preserve raw job counters while deriving remaining work and rejecting contradictory, negative, non-finite, or malformed inputs.
• Extend scheduled ticks, tick inputs, worker counts, and Planner effects with backward-compatible batch fields.
• Carry frontend active-request concurrency as an optional presence-aware field so unknown remains distinct from an explicit idle zero.
• Mirror the observation schema in protobuf and Pydantic while preserving the distinction between an unreported cap and an explicit zero-rate pause.
• Regenerate protobuf artifacts and register the new messages in the generic proto bridge.

Walkthrough

• core/types.py defines the in-process contracts and their validation invariants.
• plugins/proto/v1/plugin.proto and generated stubs add the public wire representation under ObservationData.batch.
• plugins/types.py and _proto_bridge.py expose and translate the Pydantic mirrors.
• tests/unit/test_batch_contracts.py and tests/plugins/proto/test_round_trip.py cover validation, compatibility defaults, and wire-presence semantics.

Validation

• Final stacked validation: 939 unique tests passed, including core/protobuf/Pydantic presence and round-trip regressions.
• uvx pre-commit run --from-ref origin/main --to-ref HEAD and git diff --check passed.

Summary by CodeRabbit

• New Features
  • Added batch-scheduling data to planner observations, including job demand, pool traffic, and dispatcher feedback.
  • Added support for returning per-pool batch drain limits, including explicit zero-rate limits.
  • Batch scheduling information is now available through the planner’s plugin interface.
• Documentation
  • Documented batch observation fields, timestamps, and admission-limit semantics.

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[coderabbitai]

Walkthrough

The planner adds validated batch scheduling inputs and drain-limit decisions. Plugin observation types and protobuf messages now represent batch demand, pool traffic, and dispatcher feedback. The engine adapter maps batch inputs into plugin observations.

Changes

Batch Scheduling Observation Support

Layer / File(s)	Summary
Batch scheduling core contracts components/src/dynamo/planner/core/types.py, components/src/dynamo/planner/core/__init__.py, components/src/dynamo/planner/tests/unit/test_batch_contracts.py	Core types define validated job demand, pool traffic, dispatcher feedback, scheduling observations, and drain-limit decisions. TickInput and PlannerEffects gain batch fields. Unit tests cover defaults, validation, remaining-request calculation, and admission-cap values.
Batch scheduling plugin schema components/src/dynamo/planner/plugins/types.py, components/src/dynamo/planner/plugins/proto/v1/plugin.proto, components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.py, components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.pyi, components/src/dynamo/planner/plugins/_proto_bridge.py, components/src/dynamo/planner/plugins/proto/v1/README.md, components/src/dynamo/planner/tests/plugins/proto/test_round_trip.py	Plugin models and protobuf messages add batch job, pool traffic, and dispatcher feedback data to ObservationData. The bridge registers the new models. Documentation and round-trip tests cover the schema, including absent versus zero admission caps.
Planner-to-plugin batch conversion components/src/dynamo/planner/plugins/orchestrator/engine_adapter.py, components/src/dynamo/planner/tests/plugins/orchestrator/test_engine_adapter.py	The adapter converts batch inputs into plugin observation data. Tests check the mapped job, traffic, and dispatcher-feedback values.

Priority: ⬇️ Low

Estimated code review effort: 3 (Moderate) | ~25 minutes

Merge Risk: 🔵 Low · up to d19fa

Batch plugin observations can contain inconsistent job demand, though the demonstrated path requires invalid input or mutation after core validation. Add the plugin-side check; the bounded risk does not otherwise block merging.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 13.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 30 functions across 10 files. (2 skipped:…	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Title check	✅ Passed	The title clearly summarizes the main change: defining batch scheduling contracts for Planner.
Description check	✅ Passed	The description explains the change, implementation, and validation. It includes the required issue reference, CLOSES: LLM-182. It does not use all template headings and does not identify where the …

Full details: Docstring Coverage

Explanation

Docstring coverage is 13.33% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 30 functions across 10 files. (2 skipped: 2 unsupported.)

• Fix all pre-merge checks with AI

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[coderabbitai]

Actionable comments posted: 1

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• 🪄 Fix CodeRabbit comments on this PR

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Inline comments:
Review comments at @components/src/dynamo/planner/plugins/types.py:
- Around line 210-228: Add a post-construction model validator to BatchJobDemand
that rejects instances where completed_requests plus failed_requests exceeds
total_requests, covering direct construction and protobuf hydration. Leave valid
counter combinations unchanged.

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📥 Commits

Reviewing files that changed from the base of the PR and between 27bf285 and d19fa71.

📒 Files selected for processing (12)

• components/src/dynamo/planner/core/__init__.py
• components/src/dynamo/planner/core/types.py
• components/src/dynamo/planner/plugins/_proto_bridge.py
• components/src/dynamo/planner/plugins/orchestrator/engine_adapter.py
• components/src/dynamo/planner/plugins/proto/v1/README.md
• components/src/dynamo/planner/plugins/proto/v1/plugin.proto
• components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.py
• components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.pyi
• components/src/dynamo/planner/plugins/types.py
• components/src/dynamo/planner/tests/plugins/orchestrator/test_engine_adapter.py
• components/src/dynamo/planner/tests/plugins/proto/test_round_trip.py
• components/src/dynamo/planner/tests/unit/test_batch_contracts.py

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[devin-ai-integration]

✅ Dynamo PR CI passed — run 38014517346 (attempt 1) on d6f46b746a

Gate checks: ✅ backend-status-check · ✅ deploy-status-check · ✅ dynamo-status-check

_{Posted automatically by Devin for run 38014517346. Updated on every full-CI run of this PR.}

[tedzhouhk]

Approved for the functional end-to-end scope of this batch scheduling stack. Reviewed the batch contracts and their integration in the complete stack.

[sachalmalick]

/ok to test c73686c

[sachalmalick]

/ok to test 5f309b3

[sachalmalick]

/ok to test d6f46b7