diff --git a/3rdparty/Penguin-workspace/setup.py b/3rdparty/Penguin-workspace/setup.py
index 9f7851b4e6..8588a080dc 100644
--- a/3rdparty/Penguin-workspace/setup.py
+++ b/3rdparty/Penguin-workspace/setup.py
@@ -11,6 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import sys
 import tomllib
 from pathlib import Path
 
@@ -21,12 +22,34 @@
 
 # If the submodule is present, expose `penguin` package from the checkout
 src_dir = Path("Penguin")
-package_name = "penguin"
+
+
+CACHED_DEPENDENCIES = [
+    "openai<=1.97.1",
+    "tqdm",
+    "pydantic",
+    "pydantic_core",
+    "devtools",
+    "fastapi",
+    "uvicorn",
+    "uvloop",
+    "hydra-core",
+    "omegaconf",
+    "gradio",
+    "mlflow",
+    "tdigest>=0.5.2.2",
+    "aiohttp",
+    "yappi",
+]
 
 if src_dir.exists():
     pyproject_toml_path = src_dir / "pyproject.toml"
     with pyproject_toml_path.open("rb") as f:
         pyproject_toml = tomllib.load(f)
+    if not pyproject_toml_path.exists():
+        raise FileNotFoundError(
+            f"[Penguin][setup] {pyproject_toml_path} not found; skipping dependency consistency check."
+        )
 
     packages = pyproject_toml["tool"]["setuptools"]["packages"]["find"]["include"]
 
@@ -34,6 +57,46 @@
         final_packages.append(package)
         final_package_dir[package] = src_dir / package
 
+    actual_dependencies = pyproject_toml["project"]["dependencies"]
+
+    ########################################
+    # Compare cached dependencies with the submodule's pyproject
+    ########################################
+
+    missing_in_cached = set(actual_dependencies) - set(CACHED_DEPENDENCIES)
+    extra_in_cached = set(CACHED_DEPENDENCIES) - set(actual_dependencies)
+
+    if missing_in_cached or extra_in_cached:
+        print(
+            "[Penguin][setup] Dependency mismatch between Penguin-workspace/Penguin/pyproject.toml vs Penguin-workspace/setup.py::CACHED_DEPENDENCIES.",
+            file=sys.stderr,
+        )
+        if missing_in_cached:
+            print(
+                "  - Present in Penguin-workspace/Penguin/pyproject.toml but missing from CACHED_DEPENDENCIES:",
+                file=sys.stderr,
+            )
+            for dep in sorted(missing_in_cached):
+                print(f"    * {dep}", file=sys.stderr)
+        if extra_in_cached:
+            print(
+                "  - Present in CACHED_DEPENDENCIES but not in Penguin-workspace/Penguin/pyproject.toml:",
+                file=sys.stderr,
+            )
+            for dep in sorted(extra_in_cached):
+                print(f"    * {dep}", file=sys.stderr)
+        print(
+            "  Please update CACHED_DEPENDENCIES or the submodule pyproject to keep them in sync.",
+            file=sys.stderr,
+        )
+        sys.exit(1)
+    else:
+        print(
+            "[Penguin][setup] Dependency sets are consistent with the submodule pyproject.",
+            file=sys.stderr,
+        )
+
+
 setuptools.setup(
     name="penguin",
     version="0.0.0",
@@ -43,5 +106,5 @@
     packages=final_packages,
     package_dir=final_package_dir,
     py_modules=["is_penguin_installed"],
-    install_requires=[],
+    install_requires=CACHED_DEPENDENCIES,
 )
diff --git a/nemo_rl/distributed/ray_actor_environment_registry.py b/nemo_rl/distributed/ray_actor_environment_registry.py
index 7f912648c6..6a3529d4a1 100644
--- a/nemo_rl/distributed/ray_actor_environment_registry.py
+++ b/nemo_rl/distributed/ray_actor_environment_registry.py
@@ -42,6 +42,7 @@
     # ReplayBuffer needs vLLM environment to handle trajectory data from VllmGenerationWorker
     "nemo_rl.algorithms.async_utils.ReplayBuffer": PY_EXECUTABLES.VLLM,
     "nemo_rl.environments.tools.retriever.RAGEnvironment": PY_EXECUTABLES.SYSTEM,
+    "nemo_rl.environments.penguin.Penguin": PY_EXECUTABLES.PENGUIN,
 }
 
 
diff --git a/nemo_rl/distributed/virtual_cluster.py b/nemo_rl/distributed/virtual_cluster.py
index 43a98b32b1..2ae0b2f68d 100644
--- a/nemo_rl/distributed/virtual_cluster.py
+++ b/nemo_rl/distributed/virtual_cluster.py
@@ -51,6 +51,9 @@ class PY_EXECUTABLES:
     # Use NeMo-RL direct dependencies and nemo-automodel.
     AUTOMODEL = "uv run --locked --extra automodel"
 
+    # Use Penguin dependencies
+    PENGUIN = "uv run --locked --extra penguin"
+
     # Megatron-core (and nemo dependencies)
     # We always run with --reinstall to avoid issues where someone runs "uv run ... --extra mcore ..."
     # but the submodules are not downloaded yet. This results in errors where it appears Megatron/Nemo
diff --git a/nemo_rl/environments/penguin.py b/nemo_rl/environments/penguin.py
new file mode 100644
index 0000000000..43eff06c4c
--- /dev/null
+++ b/nemo_rl/environments/penguin.py
@@ -0,0 +1,202 @@
+# Copyright (c) 2025, NVIDIA CORPORATION.  All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from pathlib import Path
+from typing import Any, Dict, List, TypedDict
+
+import ray
+import torch
+
+from nemo_rl.data.interfaces import DatumSpec
+from nemo_rl.distributed.virtual_cluster import _get_free_port_local, _get_node_ip_local
+from nemo_rl.environments.interfaces import EnvironmentInterface
+
+
+class PenguinConfig(TypedDict):
+    model_name: str
+    base_urls: List[str]
+    initial_global_config_dict: Dict[str, Any]
+
+
+@ray.remote(max_restarts=-1, max_task_retries=-1)  # pragma: no cover
+class Penguin(EnvironmentInterface):
+    """This environment class isn't really used for training. It's really meant as an integration wrapper around Penguin that hooks into the existing NeMo RL resource management via ray. So there is still one source of truth for resource management in NeMo RL."""
+
+    def __init__(self, cfg: PenguinConfig):
+        self.cfg = cfg
+
+        self.node_ip = _get_node_ip_local()
+        self.head_server_port = _get_free_port_local()
+
+        from omegaconf import DictConfig
+        from penguin.cli import GlobalConfigDictParserConfig, RunHelper
+        from penguin.rollout_collection import RolloutCollectionHelper
+        from penguin.server_utils import HEAD_SERVER_KEY_NAME, BaseServerConfig
+
+        RELATIVE_PATH = "nemo_rl/environments/penguin.py"
+        assert __file__.endswith(RELATIVE_PATH)
+
+        initial_global_config_dict = self.cfg["initial_global_config_dict"]
+        # Policy information
+        initial_global_config_dict["policy_model_name"] = self.cfg["model_name"]
+        initial_global_config_dict["policy_api_key"] = (
+            "dummy_key"  # No key necessary for training.
+        )
+        initial_global_config_dict["policy_base_url"] = self.cfg["base_urls"]
+
+        initial_global_config_dict["global_aiohttp_connector_limit_per_host"] = (
+            initial_global_config_dict.get("global_aiohttp_connector_limit_per_host")
+            or 1024
+        )
+        initial_global_config_dict["global_aiohttp_connector_limit"] = (
+            initial_global_config_dict["global_aiohttp_connector_limit_per_host"]
+            * len(self.cfg["base_urls"])
+        )
+
+        print(
+            f"""Set `global_aiohttp_connector_limit_per_host` to a flat {initial_global_config_dict["global_aiohttp_connector_limit_per_host"]}.
+Since there are {len(self.cfg["base_urls"])} data-parallel vLLM worker instances, the `global_aiohttp_connector_limit` has been set to {len(self.cfg["base_urls"])} * {initial_global_config_dict["global_aiohttp_connector_limit_per_host"]} = {initial_global_config_dict["global_aiohttp_connector_limit"]}."""
+        )
+
+        # Head server
+        initial_global_config_dict[HEAD_SERVER_KEY_NAME] = {
+            "host": "0.0.0.0",
+            "port": self.head_server_port,
+        }
+
+        self.rh = RunHelper()
+        self.rh.start(
+            global_config_dict_parser_config=GlobalConfigDictParserConfig(
+                dotenv_path=Path(__file__.removesuffix(RELATIVE_PATH)).absolute()
+                / "penguin_env.yaml",
+                initial_global_config_dict=DictConfig(initial_global_config_dict),
+                skip_load_from_cli=True,
+            )
+        )
+
+        # Setup for rollout collection
+        self.head_server_config = BaseServerConfig(
+            host=self.node_ip,
+            port=self.head_server_port,
+        )
+        self.rch = RolloutCollectionHelper()
+
+    def health_check(self) -> bool:
+        return True
+
+    async def run_rollouts(self, penguin_examples: list[dict]) -> list[dict]:
+        penguin_results = await self.rch.run_examples(
+            examples=penguin_examples, head_server_config=self.head_server_config
+        )
+
+        nemo_rl_results = list(
+            map(self._postprocess_penguin_to_nemo_rl_result, penguin_results)
+        )
+        return nemo_rl_results
+
+    def _postprocess_penguin_to_nemo_rl_result(self, penguin_result: dict) -> dict:
+        nemo_rl_message_log = []
+        seen_token_ids: List[int] = []
+        for output_item_dict in penguin_result["response"]["output"]:
+            # Nemo RL really only has two types of messages: assistant and not assistant since that is all that it is concerned with (i.e. to train or not to train)
+            # Here we map all the trainable messages to assistant and all the non-trainable messages to user.
+            # Eventually we can maybe be smarter about this, but this is functional for now.
+
+            # Note that Penguin will only return token ids on "assistant" messages and not other message types.
+            if "generation_token_ids" not in output_item_dict:
+                continue
+
+            assert (
+                seen_token_ids
+                == output_item_dict["prompt_token_ids"][: len(seen_token_ids)]
+            ), f"""Non-contiguous messages found! This may be a tokenization issue where certain tokens are combined when messages are concatenated, or it may be due to part of the chat history being truncated (like if super long history is truncated or if reasoning is stripped out).
+Seen token IDs: {seen_token_ids}
+Output prompt token IDs: {output_item_dict["prompt_token_ids"]}
+"""
+
+            nemo_rl_message_log.append(
+                {
+                    "role": "user",
+                    "content": "",
+                    "token_ids": output_item_dict["prompt_token_ids"][
+                        len(seen_token_ids) :
+                    ],
+                }
+            )
+            nemo_rl_message_log.append(
+                {
+                    "role": "assistant",
+                    "content": "",
+                    "token_ids": output_item_dict["generation_token_ids"],
+                    "generation_logprobs": output_item_dict["generation_log_probs"],
+                }
+            )
+
+            seen_token_ids.extend(nemo_rl_message_log[-2]["token_ids"])
+            seen_token_ids.extend(nemo_rl_message_log[-1]["token_ids"])
+
+        return {
+            "message_log": nemo_rl_message_log,
+            "input_message_log": nemo_rl_message_log[:1],
+            "full_result": penguin_result,
+        }
+
+    def shutdown(self) -> None:
+        self.rh.shutdown()
+
+    def step(self, message_log_batch, metadata):
+        # This is not used since Penguin will handle the rollouts entirely.
+        raise NotImplementedError
+
+    def global_post_process_and_metrics(self, batch):
+        # Similar to the step function, this is not used.
+        raise NotImplementedError
+
+
+########################################
+# Global config utils
+########################################
+
+
+def setup_penguin_config(config, tokenizer) -> None:
+    generation_config = config["policy"]["generation"]
+
+    # Enable the http server. Requires both async engine and the expose_http_server flag
+    generation_config["vllm_cfg"]["async_engine"] = True
+    generation_config["vllm_cfg"]["expose_http_server"] = True
+
+    # Stop strings or token ids are not supported
+    generation_config["stop_strings"] = None
+    generation_config["stop_token_ids"] = None
+
+
+########################################
+# Data utils
+########################################
+
+
+# We do some light preprocessing here to make our data format compatible with nemo rl format
+def penguin_example_to_nemo_rl_datum_spec(penguin_example: dict, idx: int) -> DatumSpec:
+    return DatumSpec(
+        message_log=[
+            {"role": "user", "content": "", "token_ids": torch.tensor([])}
+        ],  # Fake message
+        length=0,
+        extra_env_info=penguin_example,
+        loss_multiplier=1.0,  # Fix to 1.0 to backprop on all examples
+        idx=idx,
+        task_name="penguin",
+        stop_strings=None,
+        # Extra vars
+        token_ids=[],  # Just need this empty key to be compatible with the current NeMo RL GRPO impl
+    )
diff --git a/tests/unit/environments/penguin_test_data/test_penguin_sanity.json b/tests/unit/environments/penguin_test_data/test_penguin_sanity.json
new file mode 100644
index 0000000000..2508a40609
--- /dev/null
+++ b/tests/unit/environments/penguin_test_data/test_penguin_sanity.json
@@ -0,0 +1 @@
+{"input": [{"id": 0, "responses_create_params": {"input": [{"role": "system", "content": "# Instructions\nYou are an extraction agent. You will be provided a user query and you need to use the tools provided to you to extract list of synonym values. You will be provided with a bunch of synonyms for each. For each term, please see if it's relevant to the user query and get the values for each synonym as appropriate. You must get and extract the values for every synonym that appears in this list. Please output synonym values in the order they appear in the available synonyms below.\n\n# Available synonyms\nThe term 'Win' has a synonym 'Outperform'.\nThe term 'Empty' has a synonym 'Desolate'.\nThe term 'Open' has a synonym 'Revealed'.\nThe term 'Dry' has a synonym 'Arid'.\nThe term 'Bad' has a synonym 'Wicked'.\nThe term 'Retreat' has a synonym 'Draw back'.\nThe term 'Empty' has a synonym 'Vacant'.\nThe term 'Thick' has a synonym 'Fat'.\nThe term 'Stormy' has a synonym 'Gale-force'.\nThe term 'Rough' has a synonym 'Coarse'.\nThe term 'Day' has a synonym 'Afternoon'.\nThe term 'Quiet' has a synonym 'Hushed'.\nThe term 'Day' has a synonym 'Sunrise'.\nThe term 'Closed' has a synonym 'Covered'.\nThe term 'Early' has a synonym 'Preliminary'.\nThe term 'Night' has a synonym 'Midnight'.\nThe term 'Light' has a synonym 'Clear'.\nThe term 'Wide' has a synonym 'Comprehensive'.\nThe term 'Ugly' has a synonym 'Grotesque'.\nThe term 'Insult' has a synonym 'Belittle'.\nThe term 'Far' has a synonym 'Remote'.\nThe term 'Up' has a synonym 'Higher'.\nThe term 'Stormy' has a synonym 'Tempestuous'.\nThe term 'Dead' has a synonym 'Deceased'.\nThe term 'Dim' has a synonym 'Faint'.\nThe term 'Thick' has a synonym 'Heavy'.\nThe term 'Failure' has a synonym 'Loss'.\nThe term 'Sad' has a synonym 'Depressed'.\nThe term 'Thin' has a synonym 'Slender'.\nThe term 'Dry' has a synonym 'Dehydrated'.\nThe term 'Dirty' has a synonym 'Muddy'.\nThe term 'Fast' has a synonym 'Brisk'.\nThe term 'Defeat' has a synonym 'Failure'.\nThe term 'Sharp' has a synonym 'Tapered'.\nThe term 'Sharp' has a synonym 'Piercing'.\nThe term 'Rough' has a synonym 'Grainy'.\nThe term 'Cowardly' has a synonym 'Craven'.\nThe term 'False' has a synonym 'Incorrect'.\nThe term 'Sad' has a synonym 'Unhappy'.\nThe term 'Brave' has a synonym 'Stouthearted'.\nThe term 'Cowardly' has a synonym 'Yellow'.\nThe term 'Thin' has a synonym 'Skinny'.\nThe term 'Outside' has a synonym 'External'.\nThe term 'Wet' has a synonym 'Soaked'.\nThe term 'Sad' has a synonym 'Heartbroken'.\nThe term 'Success' has a synonym 'Victory'.\nThe term 'Cowardly' has a synonym 'Spineless'.\nThe term 'Tight' has a synonym 'Compact'.\nThe term 'Strong' has a synonym 'Muscular'.\nThe term 'Difficult' has a synonym 'Demanding'.\nThe term 'Old' has a synonym 'Historic'.\nThe term 'Rich' has a synonym 'Opulent'.\nThe term 'Far' has a synonym 'Away'.\nThe term 'Easy' has a synonym 'Effortless'.\nThe term 'Short' has a synonym 'Little'.\nThe term 'Win' has a synonym 'Achieve'.\nThe term 'Compliment' has a synonym 'Extol'.\nThe term 'Advance' has a synonym 'Rise'.\nThe term 'Soft' has a synonym 'Tender'.\nThe term 'Narrow' has a synonym 'Restrictive'.\nThe term 'Dark' has a synonym 'Dusky'.\nThe term 'High' has a synonym 'Prominent'.\nThe term 'Calm' has a synonym 'Undisturbed'.\nThe term 'Closed' has a synonym 'Locked'.\nThe term 'Compulsory' has a synonym 'Statutory'.\nThe term 'Alive' has a synonym 'Awake'.\nThe term 'Weak' has a synonym 'Powerless'.\nThe term 'Difficult' has a synonym 'Grueling'.\nThe term 'Reject' has a synonym 'Rebuff'.\nThe term 'Slow' has a synonym 'Leisurely'.\nThe term 'Clean' has a synonym 'Unsoiled'.\nThe term 'Compulsory' has a synonym 'Obligatory'.\nThe term 'Short' has a synonym 'Diminutive'.\nThe term 'Night' has a synonym 'Nightfall'.\nThe term 'Near' has a synonym 'Proximate'.\nThe term 'Ugly' has a synonym 'Homely'.\nThe term 'Wrong' has a synonym 'Amiss'.\nThe term 'Bad' has a synonym 'Terrible'.\nThe term 'Visible' has a synonym 'Noticeable'.\nThe term 'Near' has a synonym 'In proximity'.\nThe term 'Cold' has a synonym 'Frosty'.\nThe term 'Wrong' has a synonym 'False'.\nThe term 'Soft' has a synonym 'Velvety'.\nThe term 'Day' has a synonym 'Bright'.\nThe term 'Young' has a synonym 'Budding'.\nThe term 'Smelly' has a synonym 'Rancid'.\nThe term 'Low' has a synonym 'Diminished'.\nThe term 'Small' has a synonym 'Microscopic'.\nThe term 'Calm' has a synonym 'Unruffled'.\nThe term 'Empty' has a synonym 'Void'.\nThe term 'Open' has a synonym 'Available'.\nThe term 'Far' has a synonym 'Removed'.\nThe term 'Young' has a synonym 'New'.\nThe term 'Ascend' has a synonym 'Mount'.\nThe term 'Ugly' has a synonym 'Hideous'.\nThe term 'Weak' has a synonym 'Frail'.\nThe term 'Wet' has a synonym 'Damp'.\nThe term 'Tall' has a synonym 'Sky-high'.\nThe term 'Down' has a synonym 'Depressed'.\nThe term 'Happy' has a synonym 'Cheerful'.\nThe term 'Alive' has a synonym 'Alert'.\nThe term 'Easy' has a synonym 'Light'.\nThe term 'Accept' has a synonym 'Receive'.\nThe term 'Advance' has a synonym 'Headway'.\nThe term 'Dim' has a synonym 'Dull'.\nThe term 'Tall' has a synonym 'Towering'.\nThe term 'Fragrant' has a synonym 'Balmy'.\nThe term 'Happy' has a synonym 'Pleased'.\nThe term 'Down' has a synonym 'Drop'.\nThe term 'Hard' has a synonym 'Rigid'.\nThe term 'Loud' has a synonym 'Noisy'.\nThe term 'Light' has a synonym 'Shiny'.\nThe term 'Early' has a synonym 'Prior'.\nThe term 'Hot' has a synonym 'Blazing'.\nThe term 'Light (weight)' has a synonym 'Slim'.\nThe term 'Accept' has a synonym 'Acknowledge'.\nThe term 'Quiet' has a synonym 'Peaceful'.\nThe term 'Outside' has a synonym 'Outdoors'.\nThe term 'Easy' has a synonym 'Painless'.\nThe term 'Success' has a synonym 'Conquest'.\nThe term 'Hard' has a synonym 'Solid'.\nThe term 'Failure' has a synonym 'Setback'.\nThe term 'Low' has a synonym 'Short'.\nThe term 'Late' has a synonym 'Overdue'.\nThe term 'Wet' has a synonym 'Waterlogged'.\nThe term 'Strong' has a synonym 'Forceful'.\nThe term 'Hot' has a synonym 'Warm'.\nThe term 'Dark' has a synonym 'Tenebrous'.\nThe term 'Light (weight)' has a synonym 'Flimsy'.\nThe term 'Smelly' has a synonym 'Pungent'.\nThe term 'Soft' has a synonym 'Mild'.\nThe term 'Early' has a synonym 'First'.\nThe term 'Dirty' has a synonym 'Squalid'.\nThe term 'Dead' has a synonym 'Lifeless'.\nThe term 'Bitter' has a synonym 'Astringent'.\nThe term 'False' has a synonym 'Fallacious'.\nThe term 'Defeat' has a synonym 'Collapse'.\nThe term 'Loud' has a synonym 'Blaring'.\nThe term 'Dull' has a synonym 'Dim'.\nThe term 'Stormy' has a synonym 'Wild'.\nThe term 'Narrow' has a synonym 'Compressed'.\nThe term 'Rich' has a synonym 'Flush'.\nThe term 'Invisible' has a synonym 'Obscured'.\nThe term 'Slow' has a synonym 'Dragging'.\nThe term 'Young' has a synonym 'Juvenile'.\nThe term 'Bitter' has a synonym 'Caustic'.\nThe term 'Old' has a synonym 'Elderly'.\nThe term 'Slow' has a synonym 'Sluggish'.\nThe term 'Ascend' has a synonym 'Go up'.\nThe term 'Down' has a synonym 'Sink'.\nThe term 'Descend' has a synonym 'Subside'.\nThe term 'Small' has a synonym 'Little'.\nThe term 'High' has a synonym 'Soaring'.\nThe term 'Up' has a synonym 'Climb'.\nThe term 'Calm' has a synonym 'Relaxed'.\nThe term 'Rich' has a synonym 'Well-off'.\nThe term 'Light (weight)' has a synonym 'Breezy'.\nThe term 'Wrong' has a synonym 'Inaccurate'.\nThe term 'Dirty' has a synonym 'Soiled'.\nThe term 'Late' has a synonym 'Unpunctual'.\nThe term 'Quiet' has a synonym 'Low'.\nThe term 'Descend' has a synonym 'Dismount'.\nThe term 'Compliment' has a synonym 'Praise'.\nThe term 'Open' has a synonym 'Unsealed'.\nThe term 'Dull' has a synonym 'Blunt'.\nThe term 'Small' has a synonym 'Minor'.\nThe term 'Retreat' has a synonym 'Escape'.\nThe term 'Fast' has a synonym 'Hasty'.\nThe term 'Invisible' has a synonym 'Secret'.\nThe term 'Success' has a synonym 'Achievement'.\nThe term 'Retreat' has a synonym 'Fall back'.\nThe term 'Cold' has a synonym 'Icy'.\nThe term 'Hard' has a synonym 'Stiff'.\nThe term 'Insult' has a synonym 'Deride'.\nThe term 'Night' has a synonym 'Nocturne'.\nThe term 'Tight' has a synonym 'Firm'.\nThe term 'Accept' has a synonym 'Consent'.\nThe term 'Victory' has a synonym 'Supremacy'.\nThe term 'Old' has a synonym 'Vintage'.\nThe term 'Dry' has a synonym 'Desiccated'.\nThe term 'Narrow' has a synonym 'Pinched'.\nThe term 'Clean' has a synonym 'Sterile'.\nThe term 'Visible' has a synonym 'Perceptible'.\nThe term 'Victory' has a synonym 'Win'.\nThe term 'Advance' has a synonym 'Step up'.\nThe term 'Sharp' has a synonym 'Edged'.\nThe term 'Wide' has a synonym 'Outspread'.\nThe term 'Low' has a synonym 'Flat'.\nThe term 'Closed' has a synonym 'Fastened'.\nThe term 'False' has a synonym 'Untrue'.\nThe term 'Brave' has a synonym 'Bold'.\nThe term 'Reject' has a synonym 'Refuse'.\nThe term 'Fragrant' has a synonym 'Perfumed'.\n\n# Example\nFor example, if the user query is \"I'm very warm\", the term you should focus on is \"hot\". According to the synonyms above, the term \"hot\" has the synonyms \"Blazing\" and \"Warm\", in that order. You need to get synonym values for \"Blazing\" and \"Warm\", let's say those are 5 and 6 respectively, and extract the result of those synonym values i.e. [5, 6] with 5 (blazing) first then 6 (warm) since that is the order they appear in the list of synonyms above."}, {"role": "user", "content": "What factors contribute to a region experiencing extremely high temperatures, and how do these factors interact? Please call the get_synonym_value tool on Blazing and Warm, and then extract_synonym_values on the results."}], "tools": [{"type": "function", "name": "get_synonym_value", "description": "Get the synonym value for a synonym.\nThis operation returns a value that conforms to the following JSON Schema: {\"properties\": {\"synonym_value\": {\"type\": \"integer\", \"title\": \"Synonym Value\", \"description\": \"The value for this synonym.\"}}, \"type\": \"object\", \"required\": [\"synonym_value\"]}\n", "parameters": {"properties": {"synonym": {"type": "string", "title": "Synonym", "description": "The synonym to get the value for."}}, "type": "object", "required": ["synonym"], "additionalProperties": false}, "strict": true}, {"type": "function", "name": "extract_synonym_values", "description": "Extract the synonym values you retrieved for the term that is relevant to the user query.\nThis operation returns a value that conforms to the following JSON Schema: {\"properties\": {\"success\": {\"type\": \"boolean\", \"title\": \"Success\", \"description\": \"Success.\"}}, \"type\": \"object\", \"required\": [\"success\"]}\n", "parameters": {"properties": {"synonym_values": {"items": {"type": "integer"}, "type": "array", "title": "Synonym Values", "description": "The synonym values corresponding to the term for the user query."}}, "type": "object", "required": ["synonym_values"], "additionalProperties": false}, "strict": true}], "parallel_tool_calls": false}, "expected_synonyms": ["Blazing", "Warm"], "expected_synonym_values": [711, 407], "minefield_label": "Hot", "minefield_label_value": 299, "agent_ref": {"type": "responses_api_agents", "name": "multineedle_simple_agent"}}, {"id": 1, "responses_create_params": {"input": [{"role": "system", "content": "# Instructions\nYou are an extraction agent. You will be provided a user query and you need to use the tools provided to you to extract list of synonym values. You will be provided with a bunch of synonyms for each. For each term, please see if it's relevant to the user query and get the values for each synonym as appropriate. You must get and extract the values for every synonym that appears in this list. Please output synonym values in the order they appear in the available synonyms below.\n\n# Available synonyms\nThe term 'Win' has a synonym 'Outperform'.\nThe term 'Empty' has a synonym 'Desolate'.\nThe term 'Open' has a synonym 'Revealed'.\nThe term 'Dry' has a synonym 'Arid'.\nThe term 'Bad' has a synonym 'Wicked'.\nThe term 'Retreat' has a synonym 'Draw back'.\nThe term 'Empty' has a synonym 'Vacant'.\nThe term 'Thick' has a synonym 'Fat'.\nThe term 'Stormy' has a synonym 'Gale-force'.\nThe term 'Rough' has a synonym 'Coarse'.\nThe term 'Day' has a synonym 'Afternoon'.\nThe term 'Quiet' has a synonym 'Hushed'.\nThe term 'Day' has a synonym 'Sunrise'.\nThe term 'Closed' has a synonym 'Covered'.\nThe term 'Early' has a synonym 'Preliminary'.\nThe term 'Night' has a synonym 'Midnight'.\nThe term 'Light' has a synonym 'Clear'.\nThe term 'Wide' has a synonym 'Comprehensive'.\nThe term 'Ugly' has a synonym 'Grotesque'.\nThe term 'Insult' has a synonym 'Belittle'.\nThe term 'Far' has a synonym 'Remote'.\nThe term 'Up' has a synonym 'Higher'.\nThe term 'Stormy' has a synonym 'Tempestuous'.\nThe term 'Dead' has a synonym 'Deceased'.\nThe term 'Dim' has a synonym 'Faint'.\nThe term 'Thick' has a synonym 'Heavy'.\nThe term 'Failure' has a synonym 'Loss'.\nThe term 'Sad' has a synonym 'Depressed'.\nThe term 'Thin' has a synonym 'Slender'.\nThe term 'Dry' has a synonym 'Dehydrated'.\nThe term 'Dirty' has a synonym 'Muddy'.\nThe term 'Fast' has a synonym 'Brisk'.\nThe term 'Defeat' has a synonym 'Failure'.\nThe term 'Sharp' has a synonym 'Tapered'.\nThe term 'Sharp' has a synonym 'Piercing'.\nThe term 'Rough' has a synonym 'Grainy'.\nThe term 'Cowardly' has a synonym 'Craven'.\nThe term 'False' has a synonym 'Incorrect'.\nThe term 'Sad' has a synonym 'Unhappy'.\nThe term 'Brave' has a synonym 'Stouthearted'.\nThe term 'Cowardly' has a synonym 'Yellow'.\nThe term 'Thin' has a synonym 'Skinny'.\nThe term 'Outside' has a synonym 'External'.\nThe term 'Wet' has a synonym 'Soaked'.\nThe term 'Sad' has a synonym 'Heartbroken'.\nThe term 'Success' has a synonym 'Victory'.\nThe term 'Cowardly' has a synonym 'Spineless'.\nThe term 'Tight' has a synonym 'Compact'.\nThe term 'Strong' has a synonym 'Muscular'.\nThe term 'Difficult' has a synonym 'Demanding'.\nThe term 'Old' has a synonym 'Historic'.\nThe term 'Rich' has a synonym 'Opulent'.\nThe term 'Far' has a synonym 'Away'.\nThe term 'Easy' has a synonym 'Effortless'.\nThe term 'Short' has a synonym 'Little'.\nThe term 'Win' has a synonym 'Achieve'.\nThe term 'Compliment' has a synonym 'Extol'.\nThe term 'Advance' has a synonym 'Rise'.\nThe term 'Soft' has a synonym 'Tender'.\nThe term 'Narrow' has a synonym 'Restrictive'.\nThe term 'Dark' has a synonym 'Dusky'.\nThe term 'High' has a synonym 'Prominent'.\nThe term 'Calm' has a synonym 'Undisturbed'.\nThe term 'Closed' has a synonym 'Locked'.\nThe term 'Compulsory' has a synonym 'Statutory'.\nThe term 'Alive' has a synonym 'Awake'.\nThe term 'Weak' has a synonym 'Powerless'.\nThe term 'Difficult' has a synonym 'Grueling'.\nThe term 'Reject' has a synonym 'Rebuff'.\nThe term 'Slow' has a synonym 'Leisurely'.\nThe term 'Clean' has a synonym 'Unsoiled'.\nThe term 'Compulsory' has a synonym 'Obligatory'.\nThe term 'Short' has a synonym 'Diminutive'.\nThe term 'Night' has a synonym 'Nightfall'.\nThe term 'Near' has a synonym 'Proximate'.\nThe term 'Ugly' has a synonym 'Homely'.\nThe term 'Wrong' has a synonym 'Amiss'.\nThe term 'Bad' has a synonym 'Terrible'.\nThe term 'Visible' has a synonym 'Noticeable'.\nThe term 'Near' has a synonym 'In proximity'.\nThe term 'Cold' has a synonym 'Frosty'.\nThe term 'Wrong' has a synonym 'False'.\nThe term 'Soft' has a synonym 'Velvety'.\nThe term 'Day' has a synonym 'Bright'.\nThe term 'Young' has a synonym 'Budding'.\nThe term 'Smelly' has a synonym 'Rancid'.\nThe term 'Low' has a synonym 'Diminished'.\nThe term 'Small' has a synonym 'Microscopic'.\nThe term 'Calm' has a synonym 'Unruffled'.\nThe term 'Empty' has a synonym 'Void'.\nThe term 'Open' has a synonym 'Available'.\nThe term 'Far' has a synonym 'Removed'.\nThe term 'Young' has a synonym 'New'.\nThe term 'Ascend' has a synonym 'Mount'.\nThe term 'Ugly' has a synonym 'Hideous'.\nThe term 'Weak' has a synonym 'Frail'.\nThe term 'Wet' has a synonym 'Damp'.\nThe term 'Tall' has a synonym 'Sky-high'.\nThe term 'Down' has a synonym 'Depressed'.\nThe term 'Happy' has a synonym 'Cheerful'.\nThe term 'Alive' has a synonym 'Alert'.\nThe term 'Easy' has a synonym 'Light'.\nThe term 'Accept' has a synonym 'Receive'.\nThe term 'Advance' has a synonym 'Headway'.\nThe term 'Dim' has a synonym 'Dull'.\nThe term 'Tall' has a synonym 'Towering'.\nThe term 'Fragrant' has a synonym 'Balmy'.\nThe term 'Happy' has a synonym 'Pleased'.\nThe term 'Down' has a synonym 'Drop'.\nThe term 'Hard' has a synonym 'Rigid'.\nThe term 'Loud' has a synonym 'Noisy'.\nThe term 'Light' has a synonym 'Shiny'.\nThe term 'Early' has a synonym 'Prior'.\nThe term 'Hot' has a synonym 'Blazing'.\nThe term 'Light (weight)' has a synonym 'Slim'.\nThe term 'Accept' has a synonym 'Acknowledge'.\nThe term 'Quiet' has a synonym 'Peaceful'.\nThe term 'Outside' has a synonym 'Outdoors'.\nThe term 'Easy' has a synonym 'Painless'.\nThe term 'Success' has a synonym 'Conquest'.\nThe term 'Hard' has a synonym 'Solid'.\nThe term 'Failure' has a synonym 'Setback'.\nThe term 'Low' has a synonym 'Short'.\nThe term 'Late' has a synonym 'Overdue'.\nThe term 'Wet' has a synonym 'Waterlogged'.\nThe term 'Strong' has a synonym 'Forceful'.\nThe term 'Hot' has a synonym 'Warm'.\nThe term 'Dark' has a synonym 'Tenebrous'.\nThe term 'Light (weight)' has a synonym 'Flimsy'.\nThe term 'Smelly' has a synonym 'Pungent'.\nThe term 'Soft' has a synonym 'Mild'.\nThe term 'Early' has a synonym 'First'.\nThe term 'Dirty' has a synonym 'Squalid'.\nThe term 'Dead' has a synonym 'Lifeless'.\nThe term 'Bitter' has a synonym 'Astringent'.\nThe term 'False' has a synonym 'Fallacious'.\nThe term 'Defeat' has a synonym 'Collapse'.\nThe term 'Loud' has a synonym 'Blaring'.\nThe term 'Dull' has a synonym 'Dim'.\nThe term 'Stormy' has a synonym 'Wild'.\nThe term 'Narrow' has a synonym 'Compressed'.\nThe term 'Rich' has a synonym 'Flush'.\nThe term 'Invisible' has a synonym 'Obscured'.\nThe term 'Slow' has a synonym 'Dragging'.\nThe term 'Young' has a synonym 'Juvenile'.\nThe term 'Bitter' has a synonym 'Caustic'.\nThe term 'Old' has a synonym 'Elderly'.\nThe term 'Slow' has a synonym 'Sluggish'.\nThe term 'Ascend' has a synonym 'Go up'.\nThe term 'Down' has a synonym 'Sink'.\nThe term 'Descend' has a synonym 'Subside'.\nThe term 'Small' has a synonym 'Little'.\nThe term 'High' has a synonym 'Soaring'.\nThe term 'Up' has a synonym 'Climb'.\nThe term 'Calm' has a synonym 'Relaxed'.\nThe term 'Rich' has a synonym 'Well-off'.\nThe term 'Light (weight)' has a synonym 'Breezy'.\nThe term 'Wrong' has a synonym 'Inaccurate'.\nThe term 'Dirty' has a synonym 'Soiled'.\nThe term 'Late' has a synonym 'Unpunctual'.\nThe term 'Quiet' has a synonym 'Low'.\nThe term 'Descend' has a synonym 'Dismount'.\nThe term 'Compliment' has a synonym 'Praise'.\nThe term 'Open' has a synonym 'Unsealed'.\nThe term 'Dull' has a synonym 'Blunt'.\nThe term 'Small' has a synonym 'Minor'.\nThe term 'Retreat' has a synonym 'Escape'.\nThe term 'Fast' has a synonym 'Hasty'.\nThe term 'Invisible' has a synonym 'Secret'.\nThe term 'Success' has a synonym 'Achievement'.\nThe term 'Retreat' has a synonym 'Fall back'.\nThe term 'Cold' has a synonym 'Icy'.\nThe term 'Hard' has a synonym 'Stiff'.\nThe term 'Insult' has a synonym 'Deride'.\nThe term 'Night' has a synonym 'Nocturne'.\nThe term 'Tight' has a synonym 'Firm'.\nThe term 'Accept' has a synonym 'Consent'.\nThe term 'Victory' has a synonym 'Supremacy'.\nThe term 'Old' has a synonym 'Vintage'.\nThe term 'Dry' has a synonym 'Desiccated'.\nThe term 'Narrow' has a synonym 'Pinched'.\nThe term 'Clean' has a synonym 'Sterile'.\nThe term 'Visible' has a synonym 'Perceptible'.\nThe term 'Victory' has a synonym 'Win'.\nThe term 'Advance' has a synonym 'Step up'.\nThe term 'Sharp' has a synonym 'Edged'.\nThe term 'Wide' has a synonym 'Outspread'.\nThe term 'Low' has a synonym 'Flat'.\nThe term 'Closed' has a synonym 'Fastened'.\nThe term 'False' has a synonym 'Untrue'.\nThe term 'Brave' has a synonym 'Bold'.\nThe term 'Reject' has a synonym 'Refuse'.\nThe term 'Fragrant' has a synonym 'Perfumed'.\n\n# Example\nFor example, if the user query is \"I'm very warm\", the term you should focus on is \"hot\". According to the synonyms above, the term \"hot\" has the synonyms \"Blazing\" and \"Warm\", in that order. You need to get synonym values for \"Blazing\" and \"Warm\", let's say those are 5 and 6 respectively, and extract the result of those synonym values i.e. [5, 6] with 5 (blazing) first then 6 (warm) since that is the order they appear in the list of synonyms above."}, {"role": "user", "content": "How do animals adapt to living in hot climates?"}], "tools": [{"type": "function", "name": "get_synonym_value", "description": "Get the synonym value for a synonym.\nThis operation returns a value that conforms to the following JSON Schema: {\"properties\": {\"synonym_value\": {\"type\": \"integer\", \"title\": \"Synonym Value\", \"description\": \"The value for this synonym.\"}}, \"type\": \"object\", \"required\": [\"synonym_value\"]}\n", "parameters": {"properties": {"synonym": {"type": "string", "title": "Synonym", "description": "The synonym to get the value for."}}, "type": "object", "required": ["synonym"], "additionalProperties": false}, "strict": true}, {"type": "function", "name": "extract_synonym_values", "description": "Extract the synonym values you retrieved for the term that is relevant to the user query.\nThis operation returns a value that conforms to the following JSON Schema: {\"properties\": {\"success\": {\"type\": \"boolean\", \"title\": \"Success\", \"description\": \"Success.\"}}, \"type\": \"object\", \"required\": [\"success\"]}\n", "parameters": {"properties": {"synonym_values": {"items": {"type": "integer"}, "type": "array", "title": "Synonym Values", "description": "The synonym values corresponding to the term for the user query."}}, "type": "object", "required": ["synonym_values"], "additionalProperties": false}, "strict": true}], "parallel_tool_calls": false}, "expected_synonyms": ["Blazing", "Warm"], "expected_synonym_values": [711, 407], "minefield_label": "Hot", "minefield_label_value": 299, "agent_ref": {"type": "responses_api_agents", "name": "multineedle_simple_agent"}}], "expected_output": [{"message_log": [{"role": "user", "content": 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279, 73350, 897, 369, 264, 73350, 7110, 77, 1986, 5666, 4675, 264, 897, 429, 95164, 311, 279, 2701, 4718, 12539, 25, 314, 2105, 13193, 11693, 314, 2105, 20339, 7831, 3142, 11693, 314, 2105, 1313, 11693, 7245, 11662, 16215, 7245, 2102, 11693, 7245, 37134, 7831, 5162, 16215, 7245, 4684, 11693, 7245, 785, 897, 369, 419, 73350, 86865, 38154, 7245, 1313, 11693, 7245, 1700, 16215, 7245, 6279, 11693, 508, 2105, 20339, 7831, 3142, 75104, 11035, 77, 497, 330, 13786, 788, 5212, 13193, 788, 5212, 20339, 7831, 788, 5212, 1313, 788, 330, 917, 497, 330, 2102, 788, 330, 37134, 7831, 497, 330, 4684, 788, 330, 785, 73350, 311, 633, 279, 897, 369, 1189, 38154, 330, 1313, 788, 330, 1700, 497, 330, 6279, 788, 4383, 20339, 7831, 7914, 330, 35499, 7903, 788, 895, 2137, 330, 6627, 788, 830, 11248, 4913, 1313, 788, 330, 1688, 497, 330, 1688, 788, 5212, 606, 788, 330, 23493, 51393, 7831, 9146, 497, 330, 4684, 788, 330, 28959, 279, 73350, 2750, 498, 30403, 369, 279, 4647, 429, 374, 9760, 311, 279, 1196, 3239, 7110, 77, 1986, 5666, 4675, 264, 897, 429, 95164, 311, 279, 2701, 4718, 12539, 25, 314, 2105, 13193, 11693, 314, 2105, 5630, 11693, 314, 2105, 1313, 11693, 7245, 6117, 16215, 7245, 2102, 11693, 7245, 7188, 16215, 7245, 4684, 11693, 7245, 7188, 86865, 38154, 7245, 1313, 11693, 7245, 1700, 16215, 7245, 6279, 11693, 508, 2105, 5630, 75104, 11035, 77, 497, 330, 13786, 788, 5212, 13193, 788, 5212, 20339, 7831, 9146, 788, 5212, 3615, 788, 5212, 1313, 788, 330, 11662, 14345, 330, 1313, 788, 330, 1653, 497, 330, 2102, 788, 330, 37134, 7831, 24979, 497, 330, 4684, 788, 330, 785, 73350, 2750, 12159, 311, 279, 4647, 369, 279, 1196, 3239, 1189, 38154, 330, 1313, 788, 330, 1700, 497, 330, 6279, 788, 4383, 20339, 7831, 9146, 7914, 330, 35499, 7903, 788, 895, 2137, 330, 6627, 788, 830, 11248, 522, 15918, 1339, 2461, 1817, 729, 1618, 11, 470, 264, 2951, 1633, 448, 729, 829, 323, 5977, 2878, 220, 151657, 151658, 11874, 9492, 510, 151657, 198, 4913, 606, 788, 366, 1688, 11494, 8066, 330, 16370, 788, 366, 2116, 56080, 40432, 31296, 151658, 151645, 198, 151644, 872, 198, 4340, 653, 9898, 10515, 311, 5382, 304, 4017, 91299, 30, 151645, 198, 151644, 77091, 198]}]}]}
\ No newline at end of file
diff --git a/tests/unit/environments/test_penguin.py b/tests/unit/environments/test_penguin.py
index 94385d6f57..2e2f5d6be7 100644
--- a/tests/unit/environments/test_penguin.py
+++ b/tests/unit/environments/test_penguin.py
@@ -11,7 +11,29 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import json
+import time
+from copy import deepcopy
+from pathlib import Path
+
 import pytest
+import ray
+from yaml import safe_load
+
+from nemo_rl.distributed.ray_actor_environment_registry import (
+    get_actor_python_env,
+)
+from nemo_rl.environments.penguin import Penguin, PenguinConfig, setup_penguin_config
+from nemo_rl.models.generation.vllm import VllmGeneration
+
+# cluster and tokenizer are fixture imports
+from tests.unit.models.generation.test_vllm_generation import (
+    basic_vllm_test_config,
+    cluster,  # noqa: F401
+)
+from tests.unit.models.generation.test_vllm_generation import (
+    tokenizer as penguin_tokenizer,  # noqa: F401
+)
 
 try:
     from penguin import config_types  # noqa: F401
@@ -28,3 +50,129 @@
 )
 def test_penguin_stub_module():
     print(f"Penguin test successfully run! Penguin config_types module: {config_types}")
+
+
+@pytest.fixture(scope="function")
+def penguin_vllm_generation(cluster, penguin_tokenizer):  # noqa: F811
+    generation_config = deepcopy(basic_vllm_test_config)
+    master_config = {
+        "policy": {
+            "generation": generation_config,
+        },
+    }
+    setup_penguin_config(master_config, penguin_tokenizer)
+
+    generation_config["vllm_cfg"]["max_model_len"] = 16_384
+    # This is the tool parser for Qwen/Qwen3-0.6B. This needs to be changed for other models.
+    generation_config["vllm_cfg"]["http_server_serving_chat_kwargs"] = {
+        "enable_auto_tools": True,
+        "tool_parser": "hermes",
+    }
+
+    vllm_generation = VllmGeneration(cluster, generation_config)
+
+    yield vllm_generation
+
+    vllm_generation.shutdown()
+
+
+@pytest.fixture(scope="function")
+def penguin(penguin_vllm_generation):
+    """Create a Penguin actor for testing."""
+
+    yaml_str = r"""multineedle_resources_server:
+  resources_servers:
+    multineedle:
+      entrypoint: app.py
+      domain: instruction_following
+multineedle_simple_agent:
+  responses_api_agents:
+    simple_agent:
+      entrypoint: app.py
+      resources_server:
+        type: resources_servers
+        name: multineedle_resources_server
+      model_server:
+        type: responses_api_models
+        name: openai_model
+openai_model:
+  responses_api_models:
+    vllm_model:
+      entrypoint: app.py
+      base_url: ${policy_base_url}
+      api_key: ${policy_api_key}
+      model: ${policy_model_name}
+      return_token_id_information: true
+"""
+
+    config = PenguinConfig(
+        model_name=penguin_vllm_generation.cfg["model_name"],
+        base_urls=penguin_vllm_generation.dp_openai_server_base_urls,
+        initial_global_config_dict=safe_load(yaml_str),
+    )
+    env = Penguin.options(
+        runtime_env={
+            "py_executable": get_actor_python_env(
+                "nemo_rl.environments.penguin.Penguin"
+            ),
+        }
+    ).remote(config)
+
+    # Blocking wait for penguin to spin up
+    ray.get(env.health_check.remote())
+
+    yield env
+    # Clean up the actor and wait for it to be killed
+    env.shutdown.remote()
+    ray.kill(env)
+    # Give some time for cleanup
+    time.sleep(0.1)
+
+
+@pytest.fixture(scope="function")
+def penguin_sanity_test_data():
+    fpath = Path(__file__).parent / "penguin_test_data/test_penguin_sanity.json"
+    with open(fpath) as f:
+        data = json.load(f)
+    return data
+
+
+@pytest.mark.skipif(
+    not PENGUIN_INSTALLED,
+    reason="Skipping Penguin test since Penguin is not installed!",
+)
+def test_penguin_sanity(penguin, penguin_sanity_test_data, penguin_vllm_generation):
+    """Test basic functionality of MathEnvironment step with simple messages."""
+
+    # We need to match NeMo RL generation config params before sending to Penguin
+    generation_config = penguin_vllm_generation.cfg
+    examples = penguin_sanity_test_data["input"]
+    for example in examples:
+        example["responses_create_params"]["temperature"] = generation_config[
+            "temperature"
+        ]
+        example["responses_create_params"]["top_p"] = generation_config["top_p"]
+
+    actual_result = ray.get(
+        penguin.run_rollouts.remote(penguin_sanity_test_data["input"])
+    )
+    expected_result = penguin_sanity_test_data["expected_output"]
+
+    def _standardize_single_result(d: dict):
+        d = deepcopy(d)
+        d.pop("full_result", None)
+
+        # We remove these fields and message from comparison since we cannot guarantee exact generation reproducibility
+        d["message_log"] = d["message_log"][:2]
+        for message in d["message_log"][1:]:
+            if "token_ids" in message:
+                message["token_ids"] = []
+            if "generation_logprobs" in message:
+                message["generation_logprobs"] = []
+
+        return d
+
+    def _standardize(l: list[dict]):
+        return list(map(_standardize_single_result, l))
+
+    assert _standardize(expected_result) == _standardize(actual_result)
diff --git a/uv.lock b/uv.lock
index f1375d8969..2019ca2b41 100644
--- a/uv.lock
+++ b/uv.lock
@@ -69,6 +69,21 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/8d/3f/95338030883d8c8b91223b4e21744b04d11b161a3ef117295d8241f50ab4/accessible_pygments-0.0.5-py3-none-any.whl", hash = "sha256:88ae3211e68a1d0b011504b2ffc1691feafce124b845bd072ab6f9f66f34d4b7", size = 1395903, upload-time = "2024-05-10T11:23:08.421Z" },
 ]
 
+[[package]]
+name = "accumulation-tree"
+version = "0.6.4"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ac/dc/4ffda8a22b6af3f41bcec07ddfebe723218976eaa016cefbc904634a4e85/accumulation_tree-0.6.4.tar.gz", hash = "sha256:5f907667e4106b5ba140b6b871e1902eb2a93d429b92f8a9f7ddb2bee7704334", size = 12635, upload-time = "2024-09-26T21:50:40.627Z" }
+
+[[package]]
+name = "aiofiles"
+version = "24.1.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896, upload-time = "2024-06-24T11:02:01.529Z" },
+]
+
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@@ -233,6 +248,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/af/0f/3b8fdc946b4d9cc8cc1e8af42c4e409468c84441b933d037e101b3d72d86/astroid-3.3.11-py3-none-any.whl", hash = "sha256:54c760ae8322ece1abd213057c4b5bba7c49818853fc901ef09719a60dbf9dec", size = 275612, upload-time = "2025-07-13T18:04:21.07Z" },
 ]
 
+[[package]]
+name = "asttokens"
+version = "2.4.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "six" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/45/1d/f03bcb60c4a3212e15f99a56085d93093a497718adf828d050b9d675da81/asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0", size = 62284, upload-time = "2023-10-26T10:03:05.06Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/45/86/4736ac618d82a20d87d2f92ae19441ebc7ac9e7a581d7e58bbe79233b24a/asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24", size = 27764, upload-time = "2023-10-26T10:03:01.789Z" },
+]
+
 [[package]]
 name = "attrs"
 version = "25.3.0"
@@ -242,6 +269,62 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815, upload-time = "2025-03-13T11:10:21.14Z" },
 ]
 
+[[package]]
+name = "audioop-lts"
+version = "0.2.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/38/53/946db57842a50b2da2e0c1e34bd37f36f5aadba1a929a3971c5d7841dbca/audioop_lts-0.2.2.tar.gz", hash = "sha256:64d0c62d88e67b98a1a5e71987b7aa7b5bcffc7dcee65b635823dbdd0a8dbbd0", size = 30686, upload-time = "2025-08-05T16:43:17.409Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/de/d4/94d277ca941de5a507b07f0b592f199c22454eeaec8f008a286b3fbbacd6/audioop_lts-0.2.2-cp313-abi3-macosx_10_13_universal2.whl", hash = "sha256:fd3d4602dc64914d462924a08c1a9816435a2155d74f325853c1f1ac3b2d9800", size = 46523, upload-time = "2025-08-05T16:42:20.836Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/5a/656d1c2da4b555920ce4177167bfeb8623d98765594af59702c8873f60ec/audioop_lts-0.2.2-cp313-abi3-macosx_10_13_x86_64.whl", hash = "sha256:550c114a8df0aafe9a05442a1162dfc8fec37e9af1d625ae6060fed6e756f303", size = 27455, upload-time = "2025-08-05T16:42:22.283Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/83/ea581e364ce7b0d41456fb79d6ee0ad482beda61faf0cab20cbd4c63a541/audioop_lts-0.2.2-cp313-abi3-macosx_11_0_arm64.whl", hash = "sha256:9a13dc409f2564de15dd68be65b462ba0dde01b19663720c68c1140c782d1d75", size = 26997, upload-time = "2025-08-05T16:42:23.849Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/3b/e8964210b5e216e5041593b7d33e97ee65967f17c282e8510d19c666dab4/audioop_lts-0.2.2-cp313-abi3-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:51c916108c56aa6e426ce611946f901badac950ee2ddaf302b7ed35d9958970d", size = 85844, upload-time = "2025-08-05T16:42:25.208Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/2e/0a1c52faf10d51def20531a59ce4c706cb7952323b11709e10de324d6493/audioop_lts-0.2.2-cp313-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:47eba38322370347b1c47024defbd36374a211e8dd5b0dcbce7b34fdb6f8847b", size = 85056, upload-time = "2025-08-05T16:42:26.559Z" },
+    { url = "https://files.pythonhosted.org/packages/75/e8/cd95eef479656cb75ab05dfece8c1f8c395d17a7c651d88f8e6e291a63ab/audioop_lts-0.2.2-cp313-abi3-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ba7c3a7e5f23e215cb271516197030c32aef2e754252c4c70a50aaff7031a2c8", size = 93892, upload-time = "2025-08-05T16:42:27.902Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/1e/a0c42570b74f83efa5cca34905b3eef03f7ab09fe5637015df538a7f3345/audioop_lts-0.2.2-cp313-abi3-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:def246fe9e180626731b26e89816e79aae2276f825420a07b4a647abaa84becc", size = 96660, upload-time = "2025-08-05T16:42:28.9Z" },
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+    { url = "https://files.pythonhosted.org/packages/f9/5e/435ce8d5642f1f7679540d1e73c1c42d933331c0976eb397d1717d7f01a3/audioop_lts-0.2.2-cp313-abi3-musllinux_1_2_riscv64.whl", hash = "sha256:3fc38008969796f0f689f1453722a0f463da1b8a6fbee11987830bfbb664f623", size = 78766, upload-time = "2025-08-05T16:42:33.302Z" },
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