diff --git a/components/src/dynamo/planner/core/__init__.py b/components/src/dynamo/planner/core/__init__.py
index 63b2bb13fde8..5584e2d9b9a5 100644
--- a/components/src/dynamo/planner/core/__init__.py
+++ b/components/src/dynamo/planner/core/__init__.py
@@ -3,9 +3,14 @@
 
 from dynamo.planner.core.state_machine import PlannerScalingState
 from dynamo.planner.core.types import (
+    BatchDispatcherFeedback,
+    BatchDrainLimitDecision,
+    BatchJobDemand,
+    BatchSchedulingObservation,
     EngineCapabilities,
     FpmObservations,
     PlannerEffects,
+    PoolTrafficDemand,
     ScalingDecision,
     ScheduledTick,
     TickInput,
@@ -15,10 +20,15 @@
 )
 
 __all__ = [
+    "BatchDispatcherFeedback",
+    "BatchDrainLimitDecision",
+    "BatchJobDemand",
+    "BatchSchedulingObservation",
     "EngineCapabilities",
     "FpmObservations",
     "PlannerEffects",
     "PlannerScalingState",
+    "PoolTrafficDemand",
     "ScalingDecision",
     "ScheduledTick",
     "TickInput",
diff --git a/components/src/dynamo/planner/core/types.py b/components/src/dynamo/planner/core/types.py
index a7676ac760f4..93b142dfd534 100644
--- a/components/src/dynamo/planner/core/types.py
+++ b/components/src/dynamo/planner/core/types.py
@@ -11,6 +11,7 @@
 
 from __future__ import annotations
 
+import math
 from dataclasses import dataclass, field
 from typing import TYPE_CHECKING, Optional
 
@@ -88,6 +89,144 @@ class FpmObservations:
     decode: Optional[dict[tuple[str, int], ForwardPassMetrics]] = None
 
 
+@dataclass
+class BatchJobDemand:
+    """Batch job demand observed for one inference pool.
+
+    ``observed_at_s`` and ``deadline_at_s`` are absolute wall-clock
+    timestamps. ``deadline_at_s=None`` means the job has no SLA deadline.
+    ``work_class`` is an opaque request/workload class understood by the
+    capacity model; it is deliberately not tied to a Batch Gateway enum.
+
+    The raw counters and status are retained for auditability.
+    ``remaining_requests`` is derived so contradictory observations cannot
+    enter the planner contract.
+    """
+
+    observed_at_s: float
+    pool_id: str
+    job_id: str
+    status: str
+    total_requests: int
+    completed_requests: int
+    failed_requests: int
+    deadline_at_s: Optional[float]
+    work_class: str
+
+    def __post_init__(self) -> None:
+        _require_finite_non_negative("observed_at_s", self.observed_at_s)
+        _require_non_empty_string("pool_id", self.pool_id)
+        _require_non_empty_string("job_id", self.job_id)
+        _require_non_empty_string("status", self.status)
+        _require_non_empty_string("work_class", self.work_class)
+        counters = (
+            self.total_requests,
+            self.completed_requests,
+            self.failed_requests,
+        )
+        if any(
+            isinstance(count, bool) or not isinstance(count, int) or count < 0
+            for count in counters
+        ):
+            raise ValueError("batch request counters must be non-negative integers")
+        if self.completed_requests + self.failed_requests > self.total_requests:
+            raise ValueError(
+                "completed_requests + failed_requests must not exceed total_requests"
+            )
+        if self.deadline_at_s is not None:
+            _require_finite_non_negative("deadline_at_s", self.deadline_at_s)
+
+    @property
+    def remaining_requests(self) -> int:
+        """Requests not yet reported completed or failed."""
+
+        return self.total_requests - self.completed_requests - self.failed_requests
+
+
+@dataclass
+class PoolTrafficDemand:
+    """Online (non-batch) offered load for one inference pool.
+
+    This is intentionally separate from Batch Gateway state. The Planner
+    derives safe capacity from its existing worker and capability inputs.
+    ``observed_at_s`` is an absolute wall-clock timestamp.
+    """
+
+    observed_at_s: float
+    pool_id: str
+    online_offered_rps: float
+    # Current frontend concurrency for the selected pool. ``None`` preserves
+    # compatibility with observation producers that only report offered load;
+    # ``0`` is an explicit, observed idle frontend.
+    frontend_active_requests: Optional[int] = None
+
+    def __post_init__(self) -> None:
+        _require_finite_non_negative("observed_at_s", self.observed_at_s)
+        _require_non_empty_string("pool_id", self.pool_id)
+        _require_finite_non_negative("online_offered_rps", self.online_offered_rps)
+        if self.frontend_active_requests is not None and (
+            isinstance(self.frontend_active_requests, bool)
+            or not isinstance(self.frontend_active_requests, int)
+            or self.frontend_active_requests < 0
+        ):
+            raise ValueError(
+                "frontend_active_requests must be a non-negative integer or None"
+            )
+
+
+@dataclass
+class BatchDispatcherFeedback:
+    """Observed dispatcher state for one inference pool.
+
+    ``actual_dispatch_rps`` is the achieved batch admission rate over
+    ``observation_window_s``. ``applied_max_admission_rps=None`` means the
+    dispatcher did not report an applied Planner cap; ``0.0`` means an
+    explicit pause. ``observed_at_s`` is an absolute wall-clock timestamp.
+    """
+
+    observed_at_s: float
+    pool_id: str
+    observation_window_s: float
+    queued_requests: int
+    inflight_requests: int
+    actual_dispatch_rps: float
+    applied_max_admission_rps: Optional[float] = None
+
+    def __post_init__(self) -> None:
+        _require_finite_non_negative("observed_at_s", self.observed_at_s)
+        _require_non_empty_string("pool_id", self.pool_id)
+        _require_positive_finite("observation_window_s", self.observation_window_s)
+        if any(
+            isinstance(count, bool) or not isinstance(count, int) or count < 0
+            for count in (self.queued_requests, self.inflight_requests)
+        ):
+            raise ValueError("dispatcher request counts must be non-negative integers")
+        _require_finite_non_negative("actual_dispatch_rps", self.actual_dispatch_rps)
+        if self.applied_max_admission_rps is not None:
+            _require_finite_non_negative(
+                "applied_max_admission_rps", self.applied_max_admission_rps
+            )
+
+
+@dataclass
+class BatchSchedulingObservation:
+    """Batch scheduling inputs sampled independently by their adapters.
+
+    The durable job source is authoritative: a present observation means its
+    ``job_demands`` snapshot succeeded, including the valid empty-list case.
+    Traffic and dispatcher entries are independently optional per pool. An
+    absent pool entry means that source is unknown or unusable for this tick;
+    it must never be interpreted as a numeric zero. A known idle pool is
+    represented explicitly by ``PoolTrafficDemand.online_offered_rps == 0``;
+    frontend concurrency is independently unknown when
+    ``frontend_active_requests is None`` and explicitly idle when it is zero.
+    """
+
+    job_demands: list[BatchJobDemand] = field(default_factory=list)
+    pool_traffic: list[PoolTrafficDemand] = field(default_factory=list)
+    dispatcher_feedback: list[BatchDispatcherFeedback] = field(default_factory=list)
+
+
 @dataclass
 class TickInput:
     """What the adapter provides to the core on each tick.
@@ -100,6 +239,7 @@ class TickInput:
     traffic: Optional[TrafficObservation] = None
     worker_counts: Optional[WorkerCounts] = None
     fpm_observations: Optional[FpmObservations] = None
+    batch: Optional[BatchSchedulingObservation] = None
 
 
 @dataclass
@@ -112,6 +252,49 @@ class ScalingDecision:
     num_decode: Optional[int] = None
 
 
+@dataclass
+class BatchDrainLimitDecision:
+    """Leased batch admission limit for one inference pool.
+
+    ``max_admission_rps`` is the maximum rate at which new batch requests
+    may be admitted; ``0.0`` explicitly pauses admission. ``valid_until_s``
+    is an absolute wall-clock lease expiry. The dispatcher must stop using
+    the limit after expiry. ``decision_id`` identifies the decision for
+    idempotent application and audit correlation.
+    """
+
+    pool_id: str
+    max_admission_rps: float
+    valid_until_s: float
+    decision_id: str
+
+    def __post_init__(self) -> None:
+        _require_non_empty_string("pool_id", self.pool_id)
+        _require_non_empty_string("decision_id", self.decision_id)
+        _require_finite_non_negative("max_admission_rps", self.max_admission_rps)
+        _require_finite_non_negative("valid_until_s", self.valid_until_s)
+
+
+def _require_non_empty_string(name: str, value: object) -> None:
+    if not isinstance(value, str) or not value:
+        raise ValueError(f"{name} must be a non-empty string")
+
+
+def _require_finite_non_negative(name: str, value: object) -> float:
+    if isinstance(value, bool) or not isinstance(value, (int, float)):
+        raise ValueError(f"{name} must be numeric")
+    normalized = float(value)
+    if not math.isfinite(normalized) or normalized < 0:
+        raise ValueError(f"{name} must be finite and non-negative")
+    return normalized
+
+
+def _require_positive_finite(name: str, value: object) -> None:
+    normalized = _require_finite_non_negative(name, value)
+    if normalized <= 0:
+        raise ValueError(f"{name} must be positive and finite")
+
+
 @dataclass
 class TickDiagnostics:
     """Intermediate decision data populated by the planner core for
@@ -201,6 +384,7 @@ class PlannerEffects:
     scale_to: Optional[ScalingDecision] = None
     next_tick: Optional[ScheduledTick] = None
     diagnostics: TickDiagnostics = field(default_factory=TickDiagnostics)
+    batch_drain_limits: list[BatchDrainLimitDecision] = field(default_factory=list)
 
 
 @dataclass
diff --git a/components/src/dynamo/planner/plugins/_proto_bridge.py b/components/src/dynamo/planner/plugins/_proto_bridge.py
index cad393c2af45..1361633958a3 100644
--- a/components/src/dynamo/planner/plugins/_proto_bridge.py
+++ b/components/src/dynamo/planner/plugins/_proto_bridge.py
@@ -57,6 +57,10 @@
     pyd.TrafficMetrics: pb.TrafficMetrics,
     pyd.FpmData: pb.FpmData,
     pyd.WorkerState: pb.WorkerState,
+    pyd.BatchJobDemand: pb.BatchJobDemand,
+    pyd.PoolTrafficDemand: pb.PoolTrafficDemand,
+    pyd.BatchDispatcherFeedback: pb.BatchDispatcherFeedback,
+    pyd.BatchSchedulingData: pb.BatchSchedulingData,
     pyd.ObservationData: pb.ObservationData,
     pyd.PredictionData: pb.PredictionData,
     pyd.ComponentTarget: pb.ComponentTarget,
diff --git a/components/src/dynamo/planner/plugins/orchestrator/engine_adapter.py b/components/src/dynamo/planner/plugins/orchestrator/engine_adapter.py
index e4e995c19cf2..432b2ce91cc0 100644
--- a/components/src/dynamo/planner/plugins/orchestrator/engine_adapter.py
+++ b/components/src/dynamo/planner/plugins/orchestrator/engine_adapter.py
@@ -77,6 +77,7 @@
 )
 from dynamo.planner.core.state_machine import PlannerScalingState
 from dynamo.planner.core.types import (
+    BatchSchedulingObservation,
     FpmObservations,
     PlannerEffects,
     ScalingDecision,
@@ -106,15 +107,20 @@
 from dynamo.planner.plugins.scheduler import PluginScheduler
 from dynamo.planner.plugins.transport.config import make_transport_for_endpoint
 from dynamo.planner.plugins.types import (
+    BatchDispatcherFeedback as BatchDispatcherFeedbackData,
+)
+from dynamo.planner.plugins.types import BatchJobDemand as BatchJobDemandData
+from dynamo.planner.plugins.types import (
+    BatchSchedulingData,
     ComponentTarget,
     FpmData,
     ObservationData,
     OverrideResult,
     OverrideType,
     PipelineContext,
-    TrafficMetrics,
-    WorkerState,
 )
+from dynamo.planner.plugins.types import PoolTrafficDemand as PoolTrafficDemandData
+from dynamo.planner.plugins.types import TrafficMetrics, WorkerState
 
 log = logging.getLogger(__name__)
 
@@ -854,10 +860,62 @@ def _tick_input_to_context(self, ti: TickInput) -> PipelineContext:
         # and could not implement load-based decisions through
         # the public PipelineContext API.
         fpm = self._encode_fpm(ti.fpm_observations)
+        batch = self._encode_batch(ti.batch)
         return PipelineContext(
             request_id=f"tick-{ti.now_s}",
             decision_id=f"d-{ti.now_s}",
-            observations=ObservationData(traffic=traffic, fpm=fpm, workers=workers),
+            observations=ObservationData(
+                traffic=traffic,
+                fpm=fpm,
+                workers=workers,
+                batch=batch,
+            ),
+        )
+
+    @staticmethod
+    def _encode_batch(
+        obs: Optional[BatchSchedulingObservation],
+    ) -> Optional[BatchSchedulingData]:
+        """Project generic core batch observations onto the plugin contract."""
+
+        if obs is None:
+            return None
+        return BatchSchedulingData(
+            job_demands=[
+                BatchJobDemandData(
+                    observed_at_s=job.observed_at_s,
+                    pool_id=job.pool_id,
+                    job_id=job.job_id,
+                    status=job.status,
+                    total_requests=job.total_requests,
+                    completed_requests=job.completed_requests,
+                    failed_requests=job.failed_requests,
+                    deadline_at_s=job.deadline_at_s,
+                    work_class=job.work_class,
+                    remaining_requests=job.remaining_requests,
+                )
+                for job in obs.job_demands
+            ],
+            pool_traffic=[
+                PoolTrafficDemandData(
+                    observed_at_s=pool.observed_at_s,
+                    pool_id=pool.pool_id,
+                    online_offered_rps=pool.online_offered_rps,
+                )
+                for pool in obs.pool_traffic
+            ],
+            dispatcher_feedback=[
+                BatchDispatcherFeedbackData(
+                    observed_at_s=feedback.observed_at_s,
+                    pool_id=feedback.pool_id,
+                    observation_window_s=feedback.observation_window_s,
+                    queued_requests=feedback.queued_requests,
+                    inflight_requests=feedback.inflight_requests,
+                    actual_dispatch_rps=feedback.actual_dispatch_rps,
+                    applied_max_admission_rps=feedback.applied_max_admission_rps,
+                )
+                for feedback in obs.dispatcher_feedback
+            ],
         )
 
     @staticmethod
diff --git a/components/src/dynamo/planner/plugins/proto/v1/README.md b/components/src/dynamo/planner/plugins/proto/v1/README.md
index 3e159af99cf5..d829c88737f6 100644
--- a/components/src/dynamo/planner/plugins/proto/v1/README.md
+++ b/components/src/dynamo/planner/plugins/proto/v1/README.md
@@ -1,3 +1,8 @@
+<!--
+SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-License-Identifier: Apache-2.0
+-->
+
 # Plugin Proto v1
 
 Plugin RPC contract for the Dynamo Planner plugin framework.
@@ -38,7 +43,7 @@ Total: **6 services / 33 messages / 3 enums**
 ### Messages — by category
 
 - **PluginRegistry**: `RegisterRequest` / `RegisterResponse` / `HeartbeatRequest` / `HeartbeatResponse` / `UnregisterRequest` / `UnregisterResponse` / `ListPluginsRequest` / `ListPluginsResponse` / `PluginInfo`
-- **PipelineContext + observation**: `PipelineContext` / `ObservationData` / `TrafficMetrics` / `FpmData` / `WorkerState` / `PredictionData` / `ScalingProposal` / `ComponentTarget` / `OverrideResult` / `AcceptResult` / `RejectResult`
+- **PipelineContext + observation**: `PipelineContext` / `ObservationData` / `TrafficMetrics` / `FpmData` / `WorkerState` / `BatchSchedulingData` / `BatchJobDemand` / `PoolTrafficDemand` / `BatchDispatcherFeedback` / `PredictionData` / `ScalingProposal` / `ComponentTarget` / `OverrideResult` / `AcceptResult` / `RejectResult`
 - **Stage request/response**: `PredictStageRequest` / `PredictStageResponse` / `ProposeStageRequest` / `ProposeStageResponse` / `ProposeResult` / `ReconcileStageRequest` / `ReconcileStageResponse` / `ConstrainStageRequest` / `ConstrainStageResponse`
 - **PluginLifecycle**: `BootstrapRequest` / `BootstrapResponse` / `ResetRequest` / `ResetResponse`
 
@@ -235,6 +240,15 @@ Plugins that declare `needs=["observations.fpm"]` receive the per-engine
 maps when available; absence of the field means no FPM data was collected
 for that tick.
 
+## Batch scheduling observations
+
+`ObservationData.batch` carries flat, independently timestamped job demand,
+online pool traffic, and dispatcher feedback. Plugins can declare
+`needs=["observations.batch"]` and join records by `pool_id`. Job deadlines and
+all `observed_at_s` values are absolute wall-clock timestamps. Dispatcher
+`applied_max_admission_rps` preserves proto presence: unset means no applied cap
+was reported, while `0.0` means admission was explicitly paused.
+
 ## References
 
 - `dynamo/planner/plugins/types.py` — Pydantic v2 mirror
diff --git a/components/src/dynamo/planner/plugins/proto/v1/plugin.proto b/components/src/dynamo/planner/plugins/proto/v1/plugin.proto
index c9a9f4f39bd3..1f01e9aad3b0 100644
--- a/components/src/dynamo/planner/plugins/proto/v1/plugin.proto
+++ b/components/src/dynamo/planner/plugins/proto/v1/plugin.proto
@@ -234,6 +234,63 @@ message ObservationData
   optional TrafficMetrics traffic = 1;
   optional FpmData fpm = 2;
   optional WorkerState workers = 3;
+  optional BatchSchedulingData batch = 4;
+}
+
+// Mirrors BatchSchedulingObservation (core/types.py). Each repeated input is
+// timestamped independently because Batch Gateway, traffic, and dispatcher
+// observations may be sampled at different times. Once this message is
+// present, an absent pool_traffic or dispatcher_feedback entry means that
+// source is unknown/unusable for the pool on this tick; absence must never be
+// interpreted as numeric zero. Known zero traffic is carried explicitly in a
+// PoolTrafficDemand value.
+message BatchSchedulingData
+{
+  repeated BatchJobDemand job_demands = 1;
+  repeated PoolTrafficDemand pool_traffic = 2;
+  repeated BatchDispatcherFeedback dispatcher_feedback = 3;
+}
+
+// Mirrors BatchJobDemand (core/types.py). Raw counters are retained for audit;
+// remaining_requests is derived and validated by the core adapter.
+message BatchJobDemand
+{
+  double observed_at_s = 1;  // absolute wall-clock timestamp
+  string pool_id = 2;
+  string job_id = 3;
+  string status = 4;
+  int64 total_requests = 5;
+  int64 completed_requests = 6;
+  int64 failed_requests = 7;
+  optional double deadline_at_s = 8;  // absolute wall-clock deadline; unset = none
+  string work_class = 9;              // opaque request/workload class
+  int64 remaining_requests = 10;
+}
+
+// Online (non-batch) offered load for a pool. This is deliberately separate
+// from Batch Gateway state; safe capacity remains derived from existing
+// Planner worker/capability inputs.
+message PoolTrafficDemand
+{
+  double observed_at_s = 1;  // absolute wall-clock timestamp
+  string pool_id = 2;
+  double online_offered_rps = 3;
+  // Unset means the observation source did not report frontend concurrency;
+  // 0 is an explicitly observed idle frontend.
+  optional int64 frontend_active_requests = 4;
+}
+
+// Mirrors BatchDispatcherFeedback (core/types.py).
+message BatchDispatcherFeedback
+{
+  double observed_at_s = 1;  // absolute wall-clock timestamp
+  string pool_id = 2;
+  double observation_window_s = 3;
+  int64 queued_requests = 4;
+  int64 inflight_requests = 5;
+  double actual_dispatch_rps = 6;  // achieved batch admissions over the window
+  // Unset means no applied Planner cap was reported; 0.0 is an explicit pause.
+  optional double applied_max_admission_rps = 7;
 }
 
 // Mirrors TrafficObservation (types.py)
diff --git a/components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.py b/components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.py
index c9709331726f..8f8cbe318e93 100644
--- a/components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.py
+++ b/components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.py
@@ -2,12 +2,23 @@
 # SPDX-License-Identifier: Apache-2.0
 # -*- coding: utf-8 -*-
 # Generated by the protocol buffer compiler.  DO NOT EDIT!
+# NO CHECKED-IN PROTOBUF GENCODE
 # source: dynamo/planner/plugins/proto/v1/plugin.proto
+# Protobuf Python Version: 5.27.2
 """Generated protocol buffer code."""
-from google.protobuf.internal import builder as _builder
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import descriptor_pool as _descriptor_pool
+from google.protobuf import runtime_version as _runtime_version
 from google.protobuf import symbol_database as _symbol_database
+from google.protobuf.internal import builder as _builder
+_runtime_version.ValidateProtobufRuntimeVersion(
+    _runtime_version.Domain.PUBLIC,
+    5,
+    27,
+    2,
+    '',
+    'dynamo/planner/plugins/proto/v1/plugin.proto'
+)
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
@@ -15,107 +26,115 @@
 
 
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n,dynamo/planner/plugins/proto/v1/plugin.proto\x12\x18\x64ynamo.planner.plugin.v1\"\xdc\x02\n\x0fRegisterRequest\x12\x11\n\tplugin_id\x18\x01 \x01(\t\x12\x13\n\x0bplugin_type\x18\x02 \x01(\t\x12\x10\n\x08priority\x18\x03 \x01(\r\x12\x10\n\x08\x65ndpoint\x18\x04 \x01(\t\x12\x0f\n\x07version\x18\x05 \x01(\t\x12\"\n\x1a\x65xecution_interval_seconds\x18\x06 \x01(\x02\x12\x39\n\x0bhold_policy\x18\x07 \x01(\x0e\x32$.dynamo.planner.plugin.v1.HoldPolicy\x12\r\n\x05needs\x18\x08 \x03(\t\x12\x18\n\x10protocol_version\x18\t \x01(\t\x12\x12\n\nauth_token\x18\n \x01(\t\x12 \n\x18requires_produced_fields\x18\r \x03(\t\x12\"\n\x1aobservation_window_seconds\x18\x0e \x01(\x02J\x04\x08\x0b\x10\x0cJ\x04\x08\x0c\x10\r\"`\n\x10RegisterResponse\x12\x10\n\x08\x61\x63\x63\x65pted\x18\x01 \x01(\x08\x12\x15\n\rreject_reason\x18\x02 \x01(\t\x12#\n\x1bnegotiated_protocol_version\x18\x03 \x01(\t\"9\n\x10HeartbeatRequest\x12\x11\n\tplugin_id\x18\x01 \x01(\t\x12\x12\n\nauth_token\x18\x02 \x01(\t\"\x1f\n\x11HeartbeatResponse\x12\n\n\x02ok\x18\x01 \x01(\x08\"J\n\x11UnregisterRequest\x12\x11\n\tplugin_id\x18\x01 \x01(\t\x12\x0e\n\x06reason\x18\x02 \x01(\t\x12\x12\n\nauth_token\x18\x03 \x01(\t\" \n\x12UnregisterResponse\x12\n\n\x02ok\x18\x01 \x01(\x08\"D\n\x12ListPluginsRequest\x12\x14\n\x0cstage_filter\x18\x01 \x01(\t\x12\x18\n\x10include_disabled\x18\x02 \x01(\x08\"L\n\x13ListPluginsResponse\x12\x35\n\x07plugins\x18\x01 \x03(\x0b\x32$.dynamo.planner.plugin.v1.PluginInfo\"\xc0\x02\n\nPluginInfo\x12\x11\n\tplugin_id\x18\x01 \x01(\t\x12\x13\n\x0bplugin_type\x18\x02 \x01(\t\x12\x10\n\x08priority\x18\x03 \x01(\r\x12\x0f\n\x07version\x18\x04 \x01(\t\x12\x18\n\x10protocol_version\x18\x05 \x01(\t\x12\x0f\n\x07\x65nabled\x18\x06 \x01(\x08\x12\x12\n\nis_builtin\x18\x07 \x01(\x08\x12\x11\n\ttransport\x18\x08 \x01(\t\x12=\n\rcircuit_state\x18\t \x01(\x0e\x32&.dynamo.planner.plugin.v1.CircuitState\x12\x19\n\x11\x65valuations_total\x18\n 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-
-_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
-_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'dynamo.planner.plugins.proto.v1.plugin_pb2', globals())
-if _descriptor._USE_C_DESCRIPTORS == False:
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
-  DESCRIPTOR._options = None
-  _FPMDATA_PREFILLENGINESENTRY._options = None
-  _FPMDATA_PREFILLENGINESENTRY._serialized_options = b'8\001'
-  _FPMDATA_DECODEENGINESENTRY._options = None
-  _FPMDATA_DECODEENGINESENTRY._serialized_options = b'8\001'
-  _BOOTSTRAPREQUEST_HINTSENTRY._options = None
-  _BOOTSTRAPREQUEST_HINTSENTRY._serialized_options = b'8\001'
-  _HOLDPOLICY._serialized_start=5066
-  _HOLDPOLICY._serialized_end=5115
-  _CIRCUITSTATE._serialized_start=5117
-  _CIRCUITSTATE._serialized_end=5168
-  _OVERRIDETYPE._serialized_start=5170
-  _OVERRIDETYPE._serialized_end=5220
-  _REGISTERREQUEST._serialized_start=75
-  _REGISTERREQUEST._serialized_end=423
-  _REGISTERRESPONSE._serialized_start=425
-  _REGISTERRESPONSE._serialized_end=521
-  _HEARTBEATREQUEST._serialized_start=523
-  _HEARTBEATREQUEST._serialized_end=580
-  _HEARTBEATRESPONSE._serialized_start=582
-  _HEARTBEATRESPONSE._serialized_end=613
-  _UNREGISTERREQUEST._serialized_start=615
-  _UNREGISTERREQUEST._serialized_end=689
-  _UNREGISTERRESPONSE._serialized_start=691
-  _UNREGISTERRESPONSE._serialized_end=723
-  _LISTPLUGINSREQUEST._serialized_start=725
-  _LISTPLUGINSREQUEST._serialized_end=793
-  _LISTPLUGINSRESPONSE._serialized_start=795
-  _LISTPLUGINSRESPONSE._serialized_end=871
-  _PLUGININFO._serialized_start=874
-  _PLUGININFO._serialized_end=1194
-  _PIPELINECONTEXT._serialized_start=1197
-  _PIPELINECONTEXT._serialized_end=1590
-  _OBSERVATIONDATA._serialized_start=1593
-  _OBSERVATIONDATA._serialized_end=1820
-  _TRAFFICMETRICS._serialized_start=1823
-  _TRAFFICMETRICS._serialized_end=1990
-  _FPMDATA._serialized_start=1993
-  _FPMDATA._serialized_end=2269
-  _FPMDATA_PREFILLENGINESENTRY._serialized_start=2162
-  _FPMDATA_PREFILLENGINESENTRY._serialized_end=2215
-  _FPMDATA_DECODEENGINESENTRY._serialized_start=2217
-  _FPMDATA_DECODEENGINESENTRY._serialized_end=2269
-  _WORKERSTATE._serialized_start=2272
-  _WORKERSTATE._serialized_end=2623
-  _PREDICTIONDATA._serialized_start=2626
-  _PREDICTIONDATA._serialized_end=2932
-  _SCALINGPROPOSAL._serialized_start=2934
-  _SCALINGPROPOSAL._serialized_end=3043
-  _COMPONENTTARGET._serialized_start=3046
-  _COMPONENTTARGET._serialized_end=3187
-  _OVERRIDERESULT._serialized_start=3189
-  _OVERRIDERESULT._serialized_end=3281
-  _ACCEPTRESULT._serialized_start=3283
-  _ACCEPTRESULT._serialized_end=3297
-  _REJECTRESULT._serialized_start=3299
-  _REJECTRESULT._serialized_end=3329
-  _PREDICTSTAGEREQUEST._serialized_start=3331
-  _PREDICTSTAGEREQUEST._serialized_end=3412
-  _PREDICTSTAGERESPONSE._serialized_start=3414
-  _PREDICTSTAGERESPONSE._serialized_end=3530
-  _PROPOSESTAGEREQUEST._serialized_start=3532
-  _PROPOSESTAGEREQUEST._serialized_end=3613
-  _PROPOSESTAGERESPONSE._serialized_start=3616
-  _PROPOSESTAGERESPONSE._serialized_end=3841
-  _RECONCILESTAGEREQUEST._serialized_start=3844
-  _RECONCILESTAGEREQUEST._serialized_end=3987
-  _PROPOSERESULT._serialized_start=3990
-  _PROPOSERESULT._serialized_end=4230
-  _RECONCILESTAGERESPONSE._serialized_start=4233
-  _RECONCILESTAGERESPONSE._serialized_end=4460
-  _CONSTRAINSTAGEREQUEST._serialized_start=4462
-  _CONSTRAINSTAGEREQUEST._serialized_end=4545
-  _CONSTRAINSTAGERESPONSE._serialized_start=4548
-  _CONSTRAINSTAGERESPONSE._serialized_end=4775
-  _BOOTSTRAPREQUEST._serialized_start=4778
-  _BOOTSTRAPREQUEST._serialized_end=4936
-  _BOOTSTRAPREQUEST_HINTSENTRY._serialized_start=4892
-  _BOOTSTRAPREQUEST_HINTSENTRY._serialized_end=4936
-  _BOOTSTRAPRESPONSE._serialized_start=4938
-  _BOOTSTRAPRESPONSE._serialized_end=4986
-  _RESETREQUEST._serialized_start=4988
-  _RESETREQUEST._serialized_end=5018
-  _RESETRESPONSE._serialized_start=5020
-  _RESETRESPONSE._serialized_end=5064
-  _PLUGINREGISTRY._serialized_start=5223
-  _PLUGINREGISTRY._serialized_end=5653
-  _PREDICTPLUGIN._serialized_start=5655
-  _PREDICTPLUGIN._serialized_end=5776
-  _PROPOSEPLUGIN._serialized_start=5778
-  _PROPOSEPLUGIN._serialized_end=5899
-  _RECONCILEPLUGIN._serialized_start=5902
-  _RECONCILEPLUGIN._serialized_end=6031
-  _CONSTRAINPLUGIN._serialized_start=6034
-  _CONSTRAINPLUGIN._serialized_end=6163
-  _PLUGINLIFECYCLE._serialized_start=6166
-  _PLUGINLIFECYCLE._serialized_end=6375
+_globals = globals()
+_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
+_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'dynamo.planner.plugins.proto.v1.plugin_pb2', _globals)
+if not _descriptor._USE_C_DESCRIPTORS:
+  DESCRIPTOR._loaded_options = None
+  _globals['_FPMDATA_PREFILLENGINESENTRY']._loaded_options = None
+  _globals['_FPMDATA_PREFILLENGINESENTRY']._serialized_options = b'8\001'
+  _globals['_FPMDATA_DECODEENGINESENTRY']._loaded_options = None
+  _globals['_FPMDATA_DECODEENGINESENTRY']._serialized_options = b'8\001'
+  _globals['_BOOTSTRAPREQUEST_HINTSENTRY']._loaded_options = None
+  _globals['_BOOTSTRAPREQUEST_HINTSENTRY']._serialized_options = b'8\001'
+  _globals['_HOLDPOLICY']._serialized_start=6046
+  _globals['_HOLDPOLICY']._serialized_end=6095
+  _globals['_CIRCUITSTATE']._serialized_start=6097
+  _globals['_CIRCUITSTATE']._serialized_end=6148
+  _globals['_OVERRIDETYPE']._serialized_start=6150
+  _globals['_OVERRIDETYPE']._serialized_end=6200
+  _globals['_REGISTERREQUEST']._serialized_start=75
+  _globals['_REGISTERREQUEST']._serialized_end=423
+  _globals['_REGISTERRESPONSE']._serialized_start=425
+  _globals['_REGISTERRESPONSE']._serialized_end=521
+  _globals['_HEARTBEATREQUEST']._serialized_start=523
+  _globals['_HEARTBEATREQUEST']._serialized_end=580
+  _globals['_HEARTBEATRESPONSE']._serialized_start=582
+  _globals['_HEARTBEATRESPONSE']._serialized_end=613
+  _globals['_UNREGISTERREQUEST']._serialized_start=615
+  _globals['_UNREGISTERREQUEST']._serialized_end=689
+  _globals['_UNREGISTERRESPONSE']._serialized_start=691
+  _globals['_UNREGISTERRESPONSE']._serialized_end=723
+  _globals['_LISTPLUGINSREQUEST']._serialized_start=725
+  _globals['_LISTPLUGINSREQUEST']._serialized_end=793
+  _globals['_LISTPLUGINSRESPONSE']._serialized_start=795
+  _globals['_LISTPLUGINSRESPONSE']._serialized_end=871
+  _globals['_PLUGININFO']._serialized_start=874
+  _globals['_PLUGININFO']._serialized_end=1194
+  _globals['_PIPELINECONTEXT']._serialized_start=1197
+  _globals['_PIPELINECONTEXT']._serialized_end=1590
+  _globals['_OBSERVATIONDATA']._serialized_start=1593
+  _globals['_OBSERVATIONDATA']._serialized_end=1897
+  _globals['_BATCHSCHEDULINGDATA']._serialized_start=1900
+  _globals['_BATCHSCHEDULINGDATA']._serialized_end=2131
+  _globals['_BATCHJOBDEMAND']._serialized_start=2134
+  _globals['_BATCHJOBDEMAND']._serialized_end=2393
+  _globals['_POOLTRAFFICDEMAND']._serialized_start=2396
+  _globals['_POOLTRAFFICDEMAND']._serialized_end=2551
+  _globals['_BATCHDISPATCHERFEEDBACK']._serialized_start=2554
+  _globals['_BATCHDISPATCHERFEEDBACK']._serialized_end=2800
+  _globals['_TRAFFICMETRICS']._serialized_start=2803
+  _globals['_TRAFFICMETRICS']._serialized_end=2970
+  _globals['_FPMDATA']._serialized_start=2973
+  _globals['_FPMDATA']._serialized_end=3249
+  _globals['_FPMDATA_PREFILLENGINESENTRY']._serialized_start=3142
+  _globals['_FPMDATA_PREFILLENGINESENTRY']._serialized_end=3195
+  _globals['_FPMDATA_DECODEENGINESENTRY']._serialized_start=3197
+  _globals['_FPMDATA_DECODEENGINESENTRY']._serialized_end=3249
+  _globals['_WORKERSTATE']._serialized_start=3252
+  _globals['_WORKERSTATE']._serialized_end=3603
+  _globals['_PREDICTIONDATA']._serialized_start=3606
+  _globals['_PREDICTIONDATA']._serialized_end=3912
+  _globals['_SCALINGPROPOSAL']._serialized_start=3914
+  _globals['_SCALINGPROPOSAL']._serialized_end=4023
+  _globals['_COMPONENTTARGET']._serialized_start=4026
+  _globals['_COMPONENTTARGET']._serialized_end=4167
+  _globals['_OVERRIDERESULT']._serialized_start=4169
+  _globals['_OVERRIDERESULT']._serialized_end=4261
+  _globals['_ACCEPTRESULT']._serialized_start=4263
+  _globals['_ACCEPTRESULT']._serialized_end=4277
+  _globals['_REJECTRESULT']._serialized_start=4279
+  _globals['_REJECTRESULT']._serialized_end=4309
+  _globals['_PREDICTSTAGEREQUEST']._serialized_start=4311
+  _globals['_PREDICTSTAGEREQUEST']._serialized_end=4392
+  _globals['_PREDICTSTAGERESPONSE']._serialized_start=4394
+  _globals['_PREDICTSTAGERESPONSE']._serialized_end=4510
+  _globals['_PROPOSESTAGEREQUEST']._serialized_start=4512
+  _globals['_PROPOSESTAGEREQUEST']._serialized_end=4593
+  _globals['_PROPOSESTAGERESPONSE']._serialized_start=4596
+  _globals['_PROPOSESTAGERESPONSE']._serialized_end=4821
+  _globals['_RECONCILESTAGEREQUEST']._serialized_start=4824
+  _globals['_RECONCILESTAGEREQUEST']._serialized_end=4967
+  _globals['_PROPOSERESULT']._serialized_start=4970
+  _globals['_PROPOSERESULT']._serialized_end=5210
+  _globals['_RECONCILESTAGERESPONSE']._serialized_start=5213
+  _globals['_RECONCILESTAGERESPONSE']._serialized_end=5440
+  _globals['_CONSTRAINSTAGEREQUEST']._serialized_start=5442
+  _globals['_CONSTRAINSTAGEREQUEST']._serialized_end=5525
+  _globals['_CONSTRAINSTAGERESPONSE']._serialized_start=5528
+  _globals['_CONSTRAINSTAGERESPONSE']._serialized_end=5755
+  _globals['_BOOTSTRAPREQUEST']._serialized_start=5758
+  _globals['_BOOTSTRAPREQUEST']._serialized_end=5916
+  _globals['_BOOTSTRAPREQUEST_HINTSENTRY']._serialized_start=5872
+  _globals['_BOOTSTRAPREQUEST_HINTSENTRY']._serialized_end=5916
+  _globals['_BOOTSTRAPRESPONSE']._serialized_start=5918
+  _globals['_BOOTSTRAPRESPONSE']._serialized_end=5966
+  _globals['_RESETREQUEST']._serialized_start=5968
+  _globals['_RESETREQUEST']._serialized_end=5998
+  _globals['_RESETRESPONSE']._serialized_start=6000
+  _globals['_RESETRESPONSE']._serialized_end=6044
+  _globals['_PLUGINREGISTRY']._serialized_start=6203
+  _globals['_PLUGINREGISTRY']._serialized_end=6633
+  _globals['_PREDICTPLUGIN']._serialized_start=6635
+  _globals['_PREDICTPLUGIN']._serialized_end=6756
+  _globals['_PROPOSEPLUGIN']._serialized_start=6758
+  _globals['_PROPOSEPLUGIN']._serialized_end=6879
+  _globals['_RECONCILEPLUGIN']._serialized_start=6882
+  _globals['_RECONCILEPLUGIN']._serialized_end=7011
+  _globals['_CONSTRAINPLUGIN']._serialized_start=7014
+  _globals['_CONSTRAINPLUGIN']._serialized_end=7143
+  _globals['_PLUGINLIFECYCLE']._serialized_start=7146
+  _globals['_PLUGINLIFECYCLE']._serialized_end=7355
 # @@protoc_insertion_point(module_scope)
diff --git a/components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.pyi b/components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.pyi
index a32285d93c2b..eee8156e6f56 100644
--- a/components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.pyi
+++ b/components/src/dynamo/planner/plugins/proto/v1/plugin_pb2.pyi
@@ -161,14 +161,80 @@ class PipelineContext(_message.Message):
     def __init__(self, request_id: _Optional[str] = ..., decision_id: _Optional[str] = ..., observations: _Optional[_Union[ObservationData, _Mapping]] = ..., predictions: _Optional[_Union[PredictionData, _Mapping]] = ..., proposal: _Optional[_Union[ScalingProposal, _Mapping]] = ..., constrained: _Optional[_Union[ScalingProposal, _Mapping]] = ...) -> None: ...
 
 class ObservationData(_message.Message):
-    __slots__ = ("traffic", "fpm", "workers")
+    __slots__ = ("traffic", "fpm", "workers", "batch")
     TRAFFIC_FIELD_NUMBER: _ClassVar[int]
     FPM_FIELD_NUMBER: _ClassVar[int]
     WORKERS_FIELD_NUMBER: _ClassVar[int]
+    BATCH_FIELD_NUMBER: _ClassVar[int]
     traffic: TrafficMetrics
     fpm: FpmData
     workers: WorkerState
-    def __init__(self, traffic: _Optional[_Union[TrafficMetrics, _Mapping]] = ..., fpm: _Optional[_Union[FpmData, _Mapping]] = ..., workers: _Optional[_Union[WorkerState, _Mapping]] = ...) -> None: ...
+    batch: BatchSchedulingData
+    def __init__(self, traffic: _Optional[_Union[TrafficMetrics, _Mapping]] = ..., fpm: _Optional[_Union[FpmData, _Mapping]] = ..., workers: _Optional[_Union[WorkerState, _Mapping]] = ..., batch: _Optional[_Union[BatchSchedulingData, _Mapping]] = ...) -> None: ...
+
+class BatchSchedulingData(_message.Message):
+    __slots__ = ("job_demands", "pool_traffic", "dispatcher_feedback")
+    JOB_DEMANDS_FIELD_NUMBER: _ClassVar[int]
+    POOL_TRAFFIC_FIELD_NUMBER: _ClassVar[int]
+    DISPATCHER_FEEDBACK_FIELD_NUMBER: _ClassVar[int]
+    job_demands: _containers.RepeatedCompositeFieldContainer[BatchJobDemand]
+    pool_traffic: _containers.RepeatedCompositeFieldContainer[PoolTrafficDemand]
+    dispatcher_feedback: _containers.RepeatedCompositeFieldContainer[BatchDispatcherFeedback]
+    def __init__(self, job_demands: _Optional[_Iterable[_Union[BatchJobDemand, _Mapping]]] = ..., pool_traffic: _Optional[_Iterable[_Union[PoolTrafficDemand, _Mapping]]] = ..., dispatcher_feedback: _Optional[_Iterable[_Union[BatchDispatcherFeedback, _Mapping]]] = ...) -> None: ...
+
+class BatchJobDemand(_message.Message):
+    __slots__ = ("observed_at_s", "pool_id", "job_id", "status", "total_requests", "completed_requests", "failed_requests", "deadline_at_s", "work_class", "remaining_requests")
+    OBSERVED_AT_S_FIELD_NUMBER: _ClassVar[int]
+    POOL_ID_FIELD_NUMBER: _ClassVar[int]
+    JOB_ID_FIELD_NUMBER: _ClassVar[int]
+    STATUS_FIELD_NUMBER: _ClassVar[int]
+    TOTAL_REQUESTS_FIELD_NUMBER: _ClassVar[int]
+    COMPLETED_REQUESTS_FIELD_NUMBER: _ClassVar[int]
+    FAILED_REQUESTS_FIELD_NUMBER: _ClassVar[int]
+    DEADLINE_AT_S_FIELD_NUMBER: _ClassVar[int]
+    WORK_CLASS_FIELD_NUMBER: _ClassVar[int]
+    REMAINING_REQUESTS_FIELD_NUMBER: _ClassVar[int]
+    observed_at_s: float
+    pool_id: str
+    job_id: str
+    status: str
+    total_requests: int
+    completed_requests: int
+    failed_requests: int
+    deadline_at_s: float
+    work_class: str
+    remaining_requests: int
+    def __init__(self, observed_at_s: _Optional[float] = ..., pool_id: _Optional[str] = ..., job_id: _Optional[str] = ..., status: _Optional[str] = ..., total_requests: _Optional[int] = ..., completed_requests: _Optional[int] = ..., failed_requests: _Optional[int] = ..., deadline_at_s: _Optional[float] = ..., work_class: _Optional[str] = ..., remaining_requests: _Optional[int] = ...) -> None: ...
+
+class PoolTrafficDemand(_message.Message):
+    __slots__ = ("observed_at_s", "pool_id", "online_offered_rps", "frontend_active_requests")
+    OBSERVED_AT_S_FIELD_NUMBER: _ClassVar[int]
+    POOL_ID_FIELD_NUMBER: _ClassVar[int]
+    ONLINE_OFFERED_RPS_FIELD_NUMBER: _ClassVar[int]
+    FRONTEND_ACTIVE_REQUESTS_FIELD_NUMBER: _ClassVar[int]
+    observed_at_s: float
+    pool_id: str
+    online_offered_rps: float
+    frontend_active_requests: int
+    def __init__(self, observed_at_s: _Optional[float] = ..., pool_id: _Optional[str] = ..., online_offered_rps: _Optional[float] = ..., frontend_active_requests: _Optional[int] = ...) -> None: ...
+
+class BatchDispatcherFeedback(_message.Message):
+    __slots__ = ("observed_at_s", "pool_id", "observation_window_s", "queued_requests", "inflight_requests", "actual_dispatch_rps", "applied_max_admission_rps")
+    OBSERVED_AT_S_FIELD_NUMBER: _ClassVar[int]
+    POOL_ID_FIELD_NUMBER: _ClassVar[int]
+    OBSERVATION_WINDOW_S_FIELD_NUMBER: _ClassVar[int]
+    QUEUED_REQUESTS_FIELD_NUMBER: _ClassVar[int]
+    INFLIGHT_REQUESTS_FIELD_NUMBER: _ClassVar[int]
+    ACTUAL_DISPATCH_RPS_FIELD_NUMBER: _ClassVar[int]
+    APPLIED_MAX_ADMISSION_RPS_FIELD_NUMBER: _ClassVar[int]
+    observed_at_s: float
+    pool_id: str
+    observation_window_s: float
+    queued_requests: int
+    inflight_requests: int
+    actual_dispatch_rps: float
+    applied_max_admission_rps: float
+    def __init__(self, observed_at_s: _Optional[float] = ..., pool_id: _Optional[str] = ..., observation_window_s: _Optional[float] = ..., queued_requests: _Optional[int] = ..., inflight_requests: _Optional[int] = ..., actual_dispatch_rps: _Optional[float] = ..., applied_max_admission_rps: _Optional[float] = ...) -> None: ...
 
 class TrafficMetrics(_message.Message):
     __slots__ = ("duration_s", "num_req", "isl", "osl", "kv_hit_rate", "accept_length")
diff --git a/components/src/dynamo/planner/plugins/types.py b/components/src/dynamo/planner/plugins/types.py
index e728bd7c7213..9d098d1f9a95 100644
--- a/components/src/dynamo/planner/plugins/types.py
+++ b/components/src/dynamo/planner/plugins/types.py
@@ -30,7 +30,7 @@
 from enum import IntEnum
 from typing import Any, Literal, Optional
 
-from pydantic import BaseModel, ConfigDict, Field
+from pydantic import BaseModel, ConfigDict, Field, model_validator
 
 # ----------------------------------------------------------------------------
 # Enums (mirror proto enum integer values exactly)
@@ -207,10 +207,77 @@ class WorkerState(_ProtoMirror):
     decode_scaling_in_progress: Optional[bool] = None
 
 
+class BatchJobDemand(_ProtoMirror):
+    """Auditable batch-job demand for one inference pool.
+
+    Both timestamps are absolute wall-clock values. ``deadline_at_s=None``
+    denotes a job without an SLA deadline. ``remaining_requests`` is included
+    on the wire for external plugins and is derived from the raw counters by
+    the core adapter.
+    """
+
+    observed_at_s: float = 0.0
+    pool_id: str = ""
+    job_id: str = ""
+    status: str = ""
+    total_requests: int = 0
+    completed_requests: int = 0
+    failed_requests: int = 0
+    deadline_at_s: Optional[float] = None
+    work_class: str = ""
+    remaining_requests: int = 0
+
+    @model_validator(mode="after")
+    def validate_request_counters(self) -> BatchJobDemand:
+        if self.completed_requests + self.failed_requests > self.total_requests:
+            raise ValueError(
+                "completed_requests + failed_requests must not exceed total_requests"
+            )
+        return self
+
+
+class PoolTrafficDemand(_ProtoMirror):
+    """Online traffic and current frontend concurrency for one pool.
+
+    ``frontend_active_requests=None`` means that the source did not report the
+    gauge; ``0`` is an explicitly observed idle frontend.
+    """
+
+    observed_at_s: float = 0.0
+    pool_id: str = ""
+    online_offered_rps: float = 0.0
+    frontend_active_requests: Optional[int] = Field(default=None, ge=0)
+
+
+class BatchDispatcherFeedback(_ProtoMirror):
+    """Observed batch dispatcher state for one inference pool.
+
+    ``applied_max_admission_rps=None`` means no applied Planner cap was
+    reported; ``0.0`` is an explicit pause.
+    """
+
+    observed_at_s: float = 0.0
+    pool_id: str = ""
+    observation_window_s: float = 0.0
+    queued_requests: int = 0
+    inflight_requests: int = 0
+    actual_dispatch_rps: float = 0.0
+    applied_max_admission_rps: Optional[float] = None
+
+
+class BatchSchedulingData(_ProtoMirror):
+    """Flat batch scheduling inputs, each carrying its source timestamp."""
+
+    job_demands: list[BatchJobDemand] = Field(default_factory=list)
+    pool_traffic: list[PoolTrafficDemand] = Field(default_factory=list)
+    dispatcher_feedback: list[BatchDispatcherFeedback] = Field(default_factory=list)
+
+
 class ObservationData(_ProtoMirror):
     traffic: Optional[TrafficMetrics] = None
     fpm: Optional[FpmData] = None
     workers: Optional[WorkerState] = None
+    batch: Optional[BatchSchedulingData] = None
 
 
 class PredictionData(_ProtoMirror):
@@ -448,6 +515,10 @@ class ResetResponse(_ProtoMirror):
     "TrafficMetrics",
     "FpmData",
     "WorkerState",
+    "BatchJobDemand",
+    "PoolTrafficDemand",
+    "BatchDispatcherFeedback",
+    "BatchSchedulingData",
     "ObservationData",
     "PredictionData",
     "ComponentTarget",
diff --git a/components/src/dynamo/planner/tests/plugins/orchestrator/test_engine_adapter.py b/components/src/dynamo/planner/tests/plugins/orchestrator/test_engine_adapter.py
index 7269cff3e110..e1ed4e628486 100644
--- a/components/src/dynamo/planner/tests/plugins/orchestrator/test_engine_adapter.py
+++ b/components/src/dynamo/planner/tests/plugins/orchestrator/test_engine_adapter.py
@@ -26,8 +26,12 @@
 
 from dynamo.planner.config.planner_config import PlannerConfig
 from dynamo.planner.core.types import (
+    BatchDispatcherFeedback,
+    BatchJobDemand,
+    BatchSchedulingObservation,
     EngineCapabilities,
     FpmObservations,
+    PoolTrafficDemand,
     ScheduledTick,
     TickInput,
     TrafficObservation,
@@ -69,6 +73,58 @@ def _agg_config_throughput_on() -> PlannerConfig:
     )
 
 
+def test_tick_input_to_context_maps_batch_observations():
+    adapter = OrchestratorEngineAdapter(_agg_config_throughput_on(), _caps())
+    tick_input = TickInput(
+        now_s=1_700_000_010.0,
+        batch=BatchSchedulingObservation(
+            job_demands=[
+                BatchJobDemand(
+                    observed_at_s=1_700_000_000.0,
+                    pool_id="pool-a",
+                    job_id="batch-123",
+                    status="in_progress",
+                    total_requests=1_000,
+                    completed_requests=275,
+                    failed_requests=25,
+                    deadline_at_s=1_700_003_600.0,
+                    work_class="chat-8k",
+                )
+            ],
+            pool_traffic=[
+                PoolTrafficDemand(
+                    observed_at_s=1_700_000_001.0,
+                    pool_id="pool-a",
+                    online_offered_rps=90.0,
+                )
+            ],
+            dispatcher_feedback=[
+                BatchDispatcherFeedback(
+                    observed_at_s=1_700_000_002.0,
+                    pool_id="pool-a",
+                    observation_window_s=30.0,
+                    queued_requests=700,
+                    inflight_requests=20,
+                    actual_dispatch_rps=9.5,
+                    applied_max_admission_rps=10.0,
+                )
+            ],
+        ),
+    )
+
+    context = adapter._tick_input_to_context(tick_input)
+
+    assert context.observations.batch is not None
+    assert context.observations.batch.job_demands[0].remaining_requests == 700
+    assert context.observations.batch.job_demands[0].deadline_at_s == 1_700_003_600.0
+    assert context.observations.batch.pool_traffic[0].online_offered_rps == 90.0
+    assert context.observations.batch.dispatcher_feedback[0].queued_requests == 700
+    assert (
+        context.observations.batch.dispatcher_feedback[0].applied_max_admission_rps
+        == 10.0
+    )
+
+
 def _agg_config_custom_intervals(
     *, load_interval: float, throughput_interval: float
 ) -> PlannerConfig:
diff --git a/components/src/dynamo/planner/tests/plugins/proto/test_round_trip.py b/components/src/dynamo/planner/tests/plugins/proto/test_round_trip.py
index a49e31573949..36da869e0eec 100644
--- a/components/src/dynamo/planner/tests/plugins/proto/test_round_trip.py
+++ b/components/src/dynamo/planner/tests/plugins/proto/test_round_trip.py
@@ -229,6 +229,128 @@ def test_pipeline_context_full():
     _round_trip_wire(msg)
 
 
+def test_batch_scheduling_data_full():
+    msg = pyd.BatchSchedulingData(
+        job_demands=[
+            pyd.BatchJobDemand(
+                observed_at_s=1_700_000_000.125,
+                pool_id="pool-a",
+                job_id="batch-123",
+                status="in_progress",
+                total_requests=1_000,
+                completed_requests=275,
+                failed_requests=25,
+                deadline_at_s=1_700_003_600.5,
+                work_class="chat-8k",
+                remaining_requests=700,
+            )
+        ],
+        pool_traffic=[
+            pyd.PoolTrafficDemand(
+                observed_at_s=1_700_000_001.25,
+                pool_id="pool-a",
+                online_offered_rps=90.5,
+                frontend_active_requests=3,
+            )
+        ],
+        dispatcher_feedback=[
+            pyd.BatchDispatcherFeedback(
+                observed_at_s=1_700_000_002.5,
+                pool_id="pool-a",
+                observation_window_s=30.0,
+                queued_requests=700,
+                inflight_requests=20,
+                actual_dispatch_rps=9.75,
+                applied_max_admission_rps=10.0,
+            )
+        ],
+    )
+
+    _round_trip_pyd(msg)
+    _round_trip_wire(msg)
+    observation = pyd.ObservationData(batch=msg)
+    _round_trip_pyd(observation)
+    _round_trip_wire(observation)
+
+
+def test_pool_traffic_active_requests_preserves_optional_presence():
+    missing = pyd.PoolTrafficDemand(pool_id="pool-a")
+    missing_proto = pydantic_to_proto(missing)
+    assert not missing_proto.HasField("frontend_active_requests")
+    assert proto_to_pydantic(missing_proto) == missing
+
+    idle = pyd.PoolTrafficDemand(pool_id="pool-a", frontend_active_requests=0)
+    idle_proto = pydantic_to_proto(idle)
+    assert idle_proto.HasField("frontend_active_requests")
+    assert idle_proto.frontend_active_requests == 0
+    assert proto_to_pydantic(idle_proto) == idle
+
+    busy = pyd.PoolTrafficDemand(pool_id="pool-a", frontend_active_requests=9)
+    assert _round_trip_pyd(busy) == busy
+
+
+def test_batch_job_demand_allows_counters_equal_to_total():
+    demand = pyd.BatchJobDemand(
+        total_requests=10,
+        completed_requests=8,
+        failed_requests=2,
+        remaining_requests=0,
+    )
+
+    assert proto_to_pydantic(pydantic_to_proto(demand)) == demand
+
+
+def test_batch_job_demand_rejects_counter_sum_above_total():
+    with pytest.raises(
+        ValueError,
+        match=r"completed_requests \+ failed_requests must not exceed total_requests",
+    ):
+        pyd.BatchJobDemand(
+            total_requests=10,
+            completed_requests=9,
+            failed_requests=2,
+            remaining_requests=-1,
+        )
+
+
+def test_batch_job_demand_proto_hydration_rejects_counter_sum_above_total():
+    wire_demand = pb.BatchJobDemand(
+        total_requests=10,
+        completed_requests=9,
+        failed_requests=2,
+        remaining_requests=-1,
+    )
+
+    with pytest.raises(
+        ValueError,
+        match=r"completed_requests \+ failed_requests must not exceed total_requests",
+    ):
+        proto_to_pydantic(wire_demand)
+
+
+def test_batch_dispatcher_applied_cap_preserves_unset_vs_zero():
+    common = dict(
+        observed_at_s=1_700_000_000.0,
+        pool_id="pool-a",
+        observation_window_s=30.0,
+        queued_requests=100,
+        inflight_requests=5,
+        actual_dispatch_rps=0.0,
+    )
+
+    unreported = pydantic_to_proto(pyd.BatchDispatcherFeedback(**common))
+    assert not unreported.HasField("applied_max_admission_rps")
+
+    paused = pydantic_to_proto(
+        pyd.BatchDispatcherFeedback(**common, applied_max_admission_rps=0.0)
+    )
+    assert paused.HasField("applied_max_admission_rps")
+    assert paused.applied_max_admission_rps == 0.0
+    _round_trip_pyd(
+        pyd.BatchDispatcherFeedback(**common, applied_max_admission_rps=0.0)
+    )
+
+
 def test_prediction_data_optional_unset_vs_zero():
     """Critical invariant: optional float fields distinguish None
     ("no opinion") from 0.0 ("I assert zero"). Removing the
diff --git a/components/src/dynamo/planner/tests/unit/test_batch_contracts.py b/components/src/dynamo/planner/tests/unit/test_batch_contracts.py
new file mode 100644
index 000000000000..cc99fe5483a1
--- /dev/null
+++ b/components/src/dynamo/planner/tests/unit/test_batch_contracts.py
@@ -0,0 +1,226 @@
+# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+"""Focused tests for the generic batch scheduling core contracts."""
+
+from __future__ import annotations
+
+import math
+
+import pytest
+
+from dynamo.planner.core.types import (
+    BatchDispatcherFeedback,
+    BatchDrainLimitDecision,
+    BatchJobDemand,
+    BatchSchedulingObservation,
+    PlannerEffects,
+    PoolTrafficDemand,
+    TickInput,
+)
+
+pytestmark = [
+    pytest.mark.gpu_0,
+    pytest.mark.pre_merge,
+    pytest.mark.unit,
+    pytest.mark.planner,
+]
+
+
+def test_batch_contracts_are_compatibility_safe_and_not_shared():
+    tick_input = TickInput(now_s=1_700_000_000.0)
+    first = PlannerEffects()
+    second = PlannerEffects()
+
+    assert tick_input.batch is None
+    assert first.batch_drain_limits == []
+    assert second.batch_drain_limits == []
+
+    first.batch_drain_limits.append(
+        BatchDrainLimitDecision(
+            pool_id="pool-a",
+            max_admission_rps=0.0,
+            valid_until_s=1_700_000_030.0,
+            decision_id="decision-1",
+        )
+    )
+    assert second.batch_drain_limits == []
+
+
+def test_batch_job_preserves_raw_counters_and_derives_remaining_requests():
+    job = BatchJobDemand(
+        observed_at_s=1_700_000_000.0,
+        pool_id="pool-a",
+        job_id="batch-123",
+        status="in_progress",
+        total_requests=1_000,
+        completed_requests=275,
+        failed_requests=25,
+        deadline_at_s=1_700_003_600.0,
+        work_class="chat-8k",
+    )
+
+    assert job.remaining_requests == 700
+
+    with pytest.raises(ValueError, match="must not exceed"):
+        BatchJobDemand(
+            observed_at_s=1_700_000_000.0,
+            pool_id="pool-a",
+            job_id="batch-invalid",
+            status="in_progress",
+            total_requests=10,
+            completed_requests=9,
+            failed_requests=2,
+            deadline_at_s=None,
+            work_class="chat-8k",
+        )
+
+
+def test_batch_observation_distinguishes_unreported_cap_from_pause():
+    observation = BatchSchedulingObservation(
+        pool_traffic=[
+            PoolTrafficDemand(
+                observed_at_s=1_700_000_001.0,
+                pool_id="pool-a",
+                online_offered_rps=90.0,
+                frontend_active_requests=0,
+            )
+        ],
+        dispatcher_feedback=[
+            BatchDispatcherFeedback(
+                observed_at_s=1_700_000_002.0,
+                pool_id="pool-a",
+                observation_window_s=30.0,
+                queued_requests=700,
+                inflight_requests=20,
+                actual_dispatch_rps=0.0,
+                applied_max_admission_rps=None,
+            ),
+            BatchDispatcherFeedback(
+                observed_at_s=1_700_000_003.0,
+                pool_id="pool-b",
+                observation_window_s=30.0,
+                queued_requests=300,
+                inflight_requests=0,
+                actual_dispatch_rps=0.0,
+                applied_max_admission_rps=0.0,
+            ),
+        ],
+    )
+
+    assert observation.dispatcher_feedback[0].applied_max_admission_rps is None
+    assert observation.dispatcher_feedback[1].applied_max_admission_rps == 0.0
+    assert observation.pool_traffic[0].frontend_active_requests == 0
+
+
+def test_pool_traffic_active_requests_is_optional_and_non_negative():
+    legacy = PoolTrafficDemand(
+        observed_at_s=1_700_000_001.0,
+        pool_id="pool-a",
+        online_offered_rps=0.0,
+    )
+    busy = PoolTrafficDemand(
+        observed_at_s=1_700_000_002.0,
+        pool_id="pool-a",
+        online_offered_rps=1.0,
+        frontend_active_requests=7,
+    )
+
+    assert legacy.frontend_active_requests is None
+    assert busy.frontend_active_requests == 7
+
+    for invalid in (-1, 1.5, True):
+        with pytest.raises(ValueError, match="non-negative integer or None"):
+            PoolTrafficDemand(
+                observed_at_s=1_700_000_003.0,
+                pool_id="pool-a",
+                online_offered_rps=1.0,
+                frontend_active_requests=invalid,  # type: ignore[arg-type]
+            )
+
+
+def test_frontend_active_requests_distinguishes_unknown_from_idle():
+    unknown = PoolTrafficDemand(
+        observed_at_s=1_700_000_000.0,
+        pool_id="pool-a",
+        online_offered_rps=0.0,
+    )
+    idle = PoolTrafficDemand(
+        observed_at_s=1_700_000_000.0,
+        pool_id="pool-a",
+        online_offered_rps=0.0,
+        frontend_active_requests=0,
+    )
+
+    assert unknown.frontend_active_requests is None
+    assert idle.frontend_active_requests == 0
+
+
+@pytest.mark.parametrize("invalid_count", [-1, 1.5, True])
+def test_frontend_active_requests_requires_integral_count(invalid_count: object):
+    with pytest.raises(ValueError, match="frontend_active_requests"):
+        PoolTrafficDemand(
+            observed_at_s=1_700_000_000.0,
+            pool_id="pool-a",
+            online_offered_rps=0.0,
+            frontend_active_requests=invalid_count,  # type: ignore[arg-type]
+        )
+
+
+def test_batch_drain_limit_rejects_negative_rates_but_allows_pause():
+    paused = BatchDrainLimitDecision(
+        pool_id="pool-a",
+        max_admission_rps=0.0,
+        valid_until_s=1_700_000_030.0,
+        decision_id="decision-pause",
+    )
+    assert paused.max_admission_rps == 0.0
+
+    with pytest.raises(ValueError, match="non-negative"):
+        BatchDrainLimitDecision(
+            pool_id="pool-a",
+            max_admission_rps=-1.0,
+            valid_until_s=1_700_000_030.0,
+            decision_id="decision-invalid",
+        )
+
+
+def test_batch_contracts_reject_nonfinite_rates():
+    invalid_rate = math.nan
+    with pytest.raises(ValueError, match="finite and non-negative"):
+        PoolTrafficDemand(
+            observed_at_s=1_700_000_000.0,
+            pool_id="pool-a",
+            online_offered_rps=invalid_rate,
+        )
+    with pytest.raises(ValueError, match="finite and non-negative"):
+        BatchDrainLimitDecision(
+            pool_id="pool-a",
+            max_admission_rps=invalid_rate,
+            valid_until_s=1_700_000_030.0,
+            decision_id="decision-invalid",
+        )
+
+
+@pytest.mark.parametrize("invalid_identifier", ["", None])
+def test_batch_contracts_require_string_identifiers(invalid_identifier: object):
+    with pytest.raises(ValueError, match="non-empty string"):
+        BatchDrainLimitDecision(
+            pool_id=invalid_identifier,  # type: ignore[arg-type]
+            max_admission_rps=1.0,
+            valid_until_s=1_700_000_030.0,
+            decision_id="decision-invalid",
+        )
+
+
+@pytest.mark.parametrize("invalid_count", [-1, 1.5, True])
+def test_batch_contracts_require_integral_counts(invalid_count: object):
+    with pytest.raises(ValueError, match="non-negative integers"):
+        BatchDispatcherFeedback(
+            observed_at_s=1_700_000_000.0,
+            pool_id="pool-a",
+            observation_window_s=30.0,
+            queued_requests=invalid_count,  # type: ignore[arg-type]
+            inflight_requests=0,
+            actual_dispatch_rps=0.0,
+        )