feat: mocker <> planner profiler (#4651)

Signed-off-by: hongkuanz <hongkuanz@nvidia.com>

benchmarks/profiler/profile_sla.py

@@ -702,7 +702,7 @@ async def run_profile(args):
             logger.info("Deployment deleted")
 
         # generate DGD with planner based on profiling results
-        config = generate_dgd_config_with_planner(
+        config, mocker_config = generate_dgd_config_with_planner(
             config_path=args.config,
             config_modifier=config_modifier,
             output_dir=args.output_dir,
@@ -720,6 +720,14 @@ async def run_profile(args):
             else:
                 yaml.dump(config, f)
 
+        # save mocker config with planner for testing purposes
+        logger.debug(f"Mocker config with planner: {mocker_config}")
+        with open(f"{args.output_dir}/mocker_config_with_planner.yaml", "w") as f:
+            if isinstance(mocker_config, list):
+                yaml.dump_all(mocker_config, f)
+            else:
+                yaml.dump(mocker_config, f)
+
     except Exception as e:
         logger.error(f"Profile job failed with error: {e}")
         raise

benchmarks/profiler/utils/config.py

@@ -100,7 +100,7 @@ class DgdPlannerServiceConfig(BaseModel):
         mainContainer=Container(
             image="my-registry/dynamo-runtime:my-tag",  # placeholder
             workingDir=f"{get_workspace_dir()}/components/src/dynamo/planner",
-            command=["python3", "-m", "planner_sla"],
+            command=["python3", "-m", "dynamo.planner.planner_sla"],
             args=[],
         )
     )

benchmarks/profiler/utils/dgd_generation.py

@@ -13,19 +13,28 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import copy
 import json
-from typing import Optional
+import os
+from typing import Any, Optional
 
 import numpy as np
 import yaml
 
-from benchmarks.profiler.utils.config import Config, DgdPlannerServiceConfig
+from benchmarks.profiler.utils.config import (
+    Config,
+    DgdPlannerServiceConfig,
+    set_argument_value,
+)
 from benchmarks.profiler.utils.config_modifiers.parallelization_mapping import (
     ParallelizationMapping,
 )
 from benchmarks.profiler.utils.planner_utils import build_planner_args_from_namespace
 from dynamo.common.utils.paths import get_workspace_dir
-from dynamo.planner.defaults import SubComponentType
+from dynamo.planner.defaults import MockerComponentName, SubComponentType
+
+# Path to mocker disagg config relative to workspace
+MOCKER_DISAGG_CONFIG_PATH = "examples/backends/mocker/deploy/disagg.yaml"
 
 
 def generate_dgd_config_with_planner(
@@ -36,7 +45,7 @@ def generate_dgd_config_with_planner(
     best_prefill_mapping: ParallelizationMapping,
     best_decode_mapping: ParallelizationMapping,
     num_gpus_per_node: int = 8,
-):
+) -> tuple[list[dict] | dict, list[dict] | dict]:
     """Generate DGD config with planner based on profiling results.
 
     Args:
@@ -49,8 +58,11 @@ def generate_dgd_config_with_planner(
         num_gpus_per_node: Number of GPUs per node (for TEP/DEP models)
 
     Returns:
-        list[dict] | dict: If a ConfigMap is generated for planner data, returns a list
-        of two YAML documents [ConfigMap, DGD]; otherwise returns a single DGD dict.
+        tuple: (dgd_config, mocker_config) where:
+            - dgd_config: list[dict] | dict - If a ConfigMap is generated for planner data,
+              returns a list of two YAML documents [ConfigMap, DGD]; otherwise returns a single DGD dict.
+            - mocker_config: list[dict] | dict - Mocker DGD config with planner for testing purposes.
+              If a ConfigMap is generated, returns [ConfigMap, DGD]; otherwise returns a single DGD dict.
     """
 
     # Load config from file
@@ -114,6 +126,7 @@ def generate_dgd_config_with_planner(
     planner_config = DgdPlannerServiceConfig()
     frontend_service = config.spec.services["Frontend"]
     planner_config.dynamoNamespace = getattr(frontend_service, "dynamoNamespace", "dynamo")  # type: ignore[attr-defined]
+    frontend_image: Optional[str] = None
     if frontend_service.extraPodSpec and frontend_service.extraPodSpec.mainContainer:
         frontend_image = frontend_service.extraPodSpec.mainContainer.image
         if frontend_image and planner_config.extraPodSpec.mainContainer:
@@ -239,7 +252,148 @@ def generate_dgd_config_with_planner(
     # Finalize DGD services
     config_dict["spec"]["services"]["Planner"] = planner_dict
 
+    # Generate mocker config with planner for testing purposes
+    mocker_config = _generate_mocker_config_with_planner(
+        args=args,
+        cm_mount_path=cm_mount_path,
+        config_map_obj=config_map_obj,
+        planner_dict=planner_dict,
+    )
+
+    # Return multi-doc YAML (ConfigMap + DGD) when ConfigMap is created; else DGD only
+    dgd_config: list[dict[str, Any]] | dict[str, Any]
+    if config_map_obj is not None:
+        dgd_config = [config_map_obj, config_dict]
+    else:
+        dgd_config = config_dict
+
+    return dgd_config, mocker_config
+
+
+def _generate_mocker_config_with_planner(
+    args,
+    cm_mount_path: str,
+    config_map_obj: Optional[dict],
+    planner_dict: dict,
+) -> list[dict] | dict:
+    """Generate mocker DGD config with planner for testing purposes.
+
+    This loads the mocker disagg.yaml, updates the worker image, mounts the
+    profiling ConfigMap, sets --planner-profile-data for workers, and adds the planner service.
+
+    Args:
+        args: Parsed arguments namespace from profile_sla
+        cm_mount_path: Mount path for the ConfigMap containing profiling data
+        config_map_obj: The ConfigMap object (if created)
+        planner_dict: The planner service dict to reuse (includes planner image)
+
+    Returns:
+        list[dict] | dict: If a ConfigMap is generated, returns [ConfigMap, DGD];
+            otherwise returns a single DGD dict.
+    """
+    # Load mocker disagg config
+    workspace_dir = get_workspace_dir()
+    mocker_config_path = os.path.join(workspace_dir, MOCKER_DISAGG_CONFIG_PATH)
+
+    with open(mocker_config_path, "r") as f:
+        mocker_config = yaml.safe_load(f)
+
+    # Update worker image if provided
+    if args.dgd_image:
+        for service_name, service_config in (
+            mocker_config.get("spec", {}).get("services", {}).items()
+        ):
+            if service_config.get("extraPodSpec") and service_config[
+                "extraPodSpec"
+            ].get("mainContainer"):
+                service_config["extraPodSpec"]["mainContainer"][
+                    "image"
+                ] = args.dgd_image
+
+    # Update worker args: --planner-profile-data, --model-path, --model-name
+    mocker_worker_names = [
+        MockerComponentName.prefill_worker_k8s_name,
+        MockerComponentName.decode_worker_k8s_name,
+    ]
+    for worker_name in mocker_worker_names:
+        service_config = (
+            mocker_config.get("spec", {}).get("services", {}).get(worker_name)
+        )
+        if service_config:
+            main_container = service_config.get("extraPodSpec", {}).get(
+                "mainContainer", {}
+            )
+            args_list = main_container.get("args", [])
+            args_list = set_argument_value(
+                args_list, "--planner-profile-data", cm_mount_path
+            )
+            # Update model path and name if available in args
+            args_list = set_argument_value(args_list, "--model-path", args.model)
+            args_list = set_argument_value(args_list, "--model-name", args.model)
+            main_container["args"] = args_list
+
+    # Mount the ConfigMap if it exists
+    if config_map_obj is not None:
+        for worker_name in mocker_worker_names:
+            service_config = (
+                mocker_config.get("spec", {}).get("services", {}).get(worker_name)
+            )
+            if service_config:
+                extra_pod_spec = service_config.setdefault("extraPodSpec", {})
+
+                # Add volume
+                volumes = extra_pod_spec.setdefault("volumes", [])
+                volumes.append(
+                    {
+                        "name": "planner-profile-data",
+                        "configMap": {"name": "planner-profile-data"},
+                    }
+                )
+
+                # Add volume mount
+                main_container = extra_pod_spec.setdefault("mainContainer", {})
+                volume_mounts = main_container.setdefault("volumeMounts", [])
+                volume_mounts.append(
+                    {
+                        "name": "planner-profile-data",
+                        "mountPath": cm_mount_path,
+                        "readOnly": True,
+                    }
+                )
+
+    # Add planner service (reuse the same planner config but with mocker backend)
+    mocker_planner_dict = copy.deepcopy(planner_dict)
+
+    # Get the mocker's dynamoNamespace from Frontend service
+    mocker_namespace = (
+        mocker_config.get("spec", {})
+        .get("services", {})
+        .get("Frontend", {})
+        .get("dynamoNamespace", "mocker-disagg")
+    )
+
+    # Update planner's dynamoNamespace to match mocker's namespace
+    mocker_planner_dict["dynamoNamespace"] = mocker_namespace
+
+    # Override --backend to mocker and --namespace to match mocker's dynamoNamespace
+    # Planner args use --key=value format, so we need to find and replace
+    planner_main_container = mocker_planner_dict.get("extraPodSpec", {}).get(
+        "mainContainer", {}
+    )
+    planner_args = planner_main_container.get("args", [])
+    updated_planner_args = []
+    for arg in planner_args:
+        if arg.startswith("--backend="):
+            updated_planner_args.append("--backend=mocker")
+        elif arg.startswith("--namespace="):
+            updated_planner_args.append(f"--namespace={mocker_namespace}")
+        else:
+            updated_planner_args.append(arg)
+    planner_main_container["args"] = updated_planner_args
+
+    mocker_config["spec"]["services"]["Planner"] = mocker_planner_dict
+
     # Return multi-doc YAML (ConfigMap + DGD) when ConfigMap is created; else DGD only
     if config_map_obj is not None:
-        return [config_map_obj, config_dict]
-    return config_dict
+        return [config_map_obj, mocker_config]
+    return mocker_config

components/src/dynamo/mocker/README.md

@@ -25,6 +25,7 @@ The mocker engine now supports a vLLM-style CLI interface with individual argume
 - `--speedup-ratio`: Speed multiplier for token generation (default: 1.0). Higher values make the simulation engines run faster
 - `--data-parallel-size`: Number of data parallel workers to simulate (default: 1)
 - `--num-workers`: Number of mocker workers to launch in the same process (default: 1). All workers share the same tokio runtime and thread pool
+- `--is-prefill-worker` / `--is-decode-worker`: Whether the worker is a prefill or decode worker for disaggregated deployment. If not specified, mocker will be in aggregated mode.
 
 ### Example with individual arguments (vLLM-style):
 ```bash
@@ -65,4 +66,13 @@ python benchmarks/profiler/profile_sla.py \
   --profile-config your_profile_config.yaml
 ```
 
-Then use the resulting profile results directory directly with `--planner-profile-data`.
\ No newline at end of file
+Then use the resulting profile results directory directly with `--planner-profile-data`.
+
+## Deploying Mocker in K8s
+
+We provide the example DGD yaml configurations for aggregated and disaggregated deployment in `examples/backends/mocker/deploy/`. You can deploy the mocker engine in K8s by running:
+
+```bash
+kubectl apply -f examples/backends/mocker/deploy/agg.yaml # or, for disaggregated
+kubectl apply -f examples/backends/mocker/deploy/disagg.yaml
+```
\ No newline at end of file

components/src/dynamo/mocker/main.py

@@ -7,6 +7,7 @@
 import asyncio
 import logging
 import os
+import signal
 
 import uvloop
 
@@ -22,6 +23,17 @@ configure_dynamo_logging()
 logger = logging.getLogger(__name__)
 
 
+async def graceful_shutdown(runtimes: list):
+    """
+    Shutdown dynamo distributed runtime instances.
+    The endpoints will be immediately invalidated so no new requests will be accepted.
+    """
+    logger.info("Received shutdown signal, shutting down DistributedRuntime instances")
+    for runtime in runtimes:
+        runtime.shutdown()
+    logger.info("DistributedRuntime shutdown complete")
+
+
 async def worker():
     """Main worker function that launches mocker instances.
 
@@ -100,11 +112,20 @@ async def launch_workers(args, extra_engine_args_path):
 
     logger.info(f"All {args.num_workers} mocker worker(s) created and running")
 
+    # Set up signal handler for graceful shutdown
+    def signal_handler():
+        asyncio.create_task(graceful_shutdown(runtimes))
+
+    for sig in (signal.SIGTERM, signal.SIGINT):
+        loop.add_signal_handler(sig, signal_handler)
+
+    logger.info("Signal handlers set up for graceful shutdown")
+
     try:
         # Wait for all futures to complete
         await asyncio.gather(*futures, return_exceptions=True)
     finally:
-        # Clean up runtimes
+        # Clean up runtimes (in case they weren't already shut down by signal handler)
         logger.info("Shutting down DistributedRuntime instances")
         for runtime in runtimes:
             runtime.shutdown()

components/src/dynamo/planner/defaults.py

@@ -130,10 +130,21 @@ class TrtllmComponentName:
     decode_worker_endpoint = "generate"
 
 
+class MockerComponentName:
+    # Mocker backend for testing/simulation purposes
+    prefill_worker_k8s_name = "prefill"
+    prefill_worker_component_name = "prefill"
+    prefill_worker_endpoint = "generate"
+    decode_worker_k8s_name = "decode"
+    decode_worker_component_name = "backend"
+    decode_worker_endpoint = "generate"
+
+
 WORKER_COMPONENT_NAMES = {
     "vllm": VllmComponentName,
     "sglang": SGLangComponentName,
     "trtllm": TrtllmComponentName,
+    "mocker": MockerComponentName,
 }
 
 
@@ -177,6 +188,10 @@ class Service(BaseModel):
             and len(args) > args.index("--served-model-name") + 1
         ):
             return args[args.index("--served-model-name") + 1]
+        if (
+            "--model-name" in args and len(args) > args.index("--model-name") + 1
+        ):  # mocker use --model-name
+            return args[args.index("--model-name") + 1]
         if "--model" in args and len(args) > args.index("--model") + 1:
             return args[args.index("--model") + 1]
 

components/src/dynamo/planner/utils/planner_argparse.py

@@ -39,7 +39,7 @@ def create_sla_planner_parser() -> argparse.ArgumentParser:
     parser.add_argument(
         "--backend",
         default=SLAPlannerDefaults.backend,
-        choices=["vllm", "sglang", "trtllm"],
+        choices=["vllm", "sglang", "trtllm", "mocker"],
         help="Backend type",
     )
     parser.add_argument(

examples/backends/mocker/deploy/agg.yaml

+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+apiVersion: nvidia.com/v1alpha1
+kind: DynamoGraphDeployment
+metadata:
+  name: mocker-agg
+spec:
+  services:
+    Frontend:
+      dynamoNamespace: mocker-agg
+      componentType: frontend
+      replicas: 1
+      extraPodSpec:
+        mainContainer:
+          image: my-registry/mocker-runtime:my-tag
+    decode:
+      envFromSecret: hf-token-secret
+      dynamoNamespace: mocker-agg
+      componentType: worker
+      subComponentType: decode
+      replicas: 1
+      extraPodSpec:
+        mainContainer:
+          image: my-registry/mocker-runtime:my-tag
+          workingDir: /workspace
+          command:
+          - python3
+          - -m
+          - dynamo.mocker
+          args:
+            - --model-path
+            - nvidia/Llama-3.1-8B-Instruct-FP8
+            - --model-name
+            - nvidia/Llama-3.1-8B-Instruct-FP8
+            - --speedup-ratio
+            - "1.0"
+            - --planner-profile-data
+            - /workspace/tests/planner/profiling_results/H200_TP1P_TP1D
\ No newline at end of file

examples/backends/mocker/deploy/disagg.yaml

+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+
+apiVersion: nvidia.com/v1alpha1
+kind: DynamoGraphDeployment
+metadata:
+  name: mocker-disagg
+spec:
+  services:
+    Frontend:
+      dynamoNamespace: mocker-disagg
+      componentType: frontend
+      replicas: 1
+      extraPodSpec:
+        mainContainer:
+          image: my-registry/mocker-runtime:my-tag
+    prefill:
+      envFromSecret: hf-token-secret
+      dynamoNamespace: mocker-disagg
+      componentType: worker
+      subComponentType: prefill
+      replicas: 1
+      extraPodSpec:
+        mainContainer:
+          image: my-registry/mocker-runtime:my-tag
+          workingDir: /workspace
+          command:
+          - python3
+          - -m
+          - dynamo.mocker
+          args:
+            - --model-path
+            - nvidia/Llama-3.1-8B-Instruct-FP8
+            - --model-name
+            - nvidia/Llama-3.1-8B-Instruct-FP8
+            - --speedup-ratio
+            - "1.0"
+            - --planner-profile-data
+            - /workspace/tests/planner/profiling_results/H200_TP1P_TP1D
+            - --is-prefill-worker
+    decode:
+      envFromSecret: hf-token-secret
+      dynamoNamespace: mocker-disagg
+      componentType: worker
+      subComponentType: decode
+      replicas: 1
+      extraPodSpec:
+        mainContainer:
+          image: my-registry/mocker-runtime:my-tag
+          workingDir: /workspace
+          command:
+          - python3
+          - -m
+          - dynamo.mocker
+          args:
+            - --model-path
+            - nvidia/Llama-3.1-8B-Instruct-FP8
+            - --model-name
+            - nvidia/Llama-3.1-8B-Instruct-FP8
+            - --speedup-ratio
+            - "1.0"
+            - --planner-profile-data
+            - /workspace/tests/planner/profiling_results/H200_TP1P_TP1D
+            - --is-decode-worker
\ No newline at end of file