diff --git a/evaluation/benchmarks/swe_bench/run_infer.py b/evaluation/benchmarks/swe_bench/run_infer.py
index 2410db6e579e..7ff22f7fa4df 100644
--- a/evaluation/benchmarks/swe_bench/run_infer.py
+++ b/evaluation/benchmarks/swe_bench/run_infer.py
@@ -3,7 +3,7 @@
 import json
 import os
 import tempfile
-from typing import Any, Literal, Optional
+from typing import Any, Dict, Literal, Optional
 import time
 import pandas as pd
 import toml
@@ -78,6 +78,85 @@
 
 MAX_RETRIES = 3
 
+########################################
+# START Custom profiling code
+########################################
+
+from io import StringIO
+from pathlib import Path
+from typing import Optional
+
+import yappi
+
+
+class Profiler:
+    def __init__(self, name: str, base_profile_dir: Path) -> None:
+        self.name = name
+        self.base_profile_dir = base_profile_dir
+
+        self.required_str = None
+
+    def start(self) -> None:
+        yappi.set_clock_type("CPU")
+        yappi.start()
+        print(f"🔍 Enabled profiling for {self.name}")
+
+    def stop(self) -> None:
+        print(f"🛑 Stopping profiler for {self.name}. Check {self.base_profile_dir} for the metrics!")
+        yappi.stop()
+        self.dump()
+
+    def dump(self) -> None:
+        self.base_profile_dir.mkdir(parents=True, exist_ok=True)
+        log_path = self.base_profile_dir / f"{self.name}.log"
+        callgrind_path = self.base_profile_dir / f"{self.name}.callgrind"
+
+        yappi.get_func_stats().save(callgrind_path, type="CALLGRIND")
+
+        buffer = StringIO()
+        yappi.get_func_stats().print_all(
+            out=buffer,
+            columns={
+                0: ("name", 200),
+                1: ("ncall", 10),
+                2: ("tsub", 8),
+                3: ("ttot", 8),
+                4: ("tavg", 8),
+            },
+        )
+
+        buffer.seek(0)
+        res = ""
+        past_header = False
+        for line in buffer:
+            if not past_header or (self.required_str and self.required_str in line):
+                res += line
+
+            if line.startswith("name"):
+                past_header = True
+
+        with open(log_path, "w") as f:
+            f.write(res)
+
+
+def update_metrics(update_dict: Dict[str, Any]) -> None:
+    import os, json
+
+    metrics_fpath = os.environ["NEMO_GYM_METRICS_FPATH"]
+    with open(metrics_fpath) as f:
+        existing_dict = json.loads(f.read())
+
+    existing_dict = {k: v for k, v in existing_dict.items() if v is not None}
+    update_dict = {k: v for k, v in update_dict.items() if v is not None}
+
+    with open(metrics_fpath, "w") as f:
+        json.dump(existing_dict | update_dict, f)
+
+
+########################################
+# END Custom profiling code
+########################################
+
 
 def set_dataset_type(dataset_name: str) -> str:
     """Set dataset type based on dataset name."""
@@ -733,16 +812,19 @@ def process_instance(
     start_time = time.perf_counter()
     runtime = create_runtime(config)
     end_time = time.perf_counter()
+    update_metrics({"create_runtime_time": end_time - start_time})
     print(f"create runtime: {end_time - start_time} seconds", flush = True)
     start_time = time.perf_counter()
     call_async_from_sync(runtime.connect)
     end_time = time.perf_counter()
+    update_metrics({"connect_to_runtime_time": end_time - start_time})
     print(f"connect to runtime: {end_time - start_time} seconds", flush = True)
 
     try:
         start_time = time.perf_counter()
         initialize_runtime(runtime, instance, metadata)
         end_time = time.perf_counter()
+        update_metrics({"initialize_runtime_time": end_time - start_time})
         print(f"init runtime: {end_time - start_time} seconds", flush = True)
         message_action = get_instruction(instance, metadata)
 
@@ -902,6 +984,14 @@ def filter_dataset(
 
     args, _ = parser.parse_known_args()
 
+    maybe_base_profile_dir = os.environ.get("NG_PROFILING_DIR")
+    should_profile = maybe_base_profile_dir is not None
+    if should_profile:
+        profiler = Profiler(
+            name="openhands", base_profile_dir=Path(maybe_base_profile_dir)
+        )
+        profiler.start()
+
     # Validate nv-internal-1 requires instance_dict_path
     if 'nv-internal-1' in args.dataset.lower():
         if not args.instance_dict_path or not args.selected_id:
@@ -1161,3 +1251,6 @@ def get_cur_output_file_path(attempt: int) -> str:
         )
         # Check if any instances reached maximum retries
         check_maximum_retries_exceeded(metadata.eval_output_dir)
+
+    if should_profile:
+        profiler.stop()
diff --git a/openhands/agenthub/codeact_agent/codeact_agent.py b/openhands/agenthub/codeact_agent/codeact_agent.py
index c6a6c9247954..1e156eef8c14 100644
--- a/openhands/agenthub/codeact_agent/codeact_agent.py
+++ b/openhands/agenthub/codeact_agent/codeact_agent.py
@@ -1,7 +1,10 @@
 import os
 import sys
+import time
+import json
+import tempfile
 from collections import deque
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any
 
 from openhands.llm.llm_registry import LLMRegistry
 
@@ -9,8 +12,8 @@
     from litellm import ChatCompletionToolParam
 
     from openhands.events.action import Action
-    from openhands.llm.llm import ModelResponse
 
+from openhands.llm.llm import ModelResponse
 import openhands.agenthub.codeact_agent.function_calling as codeact_function_calling
 from openhands.agenthub.codeact_agent.tools.bash import create_cmd_run_tool
 from openhands.agenthub.codeact_agent.tools.browser import BrowserTool
@@ -90,6 +93,14 @@ def __init__(self, config: AgentConfig, llm_registry: LLMRegistry) -> None:
         # Override with router if needed
         self.llm = self.llm_registry.get_router(self.config)
 
+        from nemo_gym.server_utils import ServerClient
+        from nemo_gym.global_config import get_global_config_dict
+        self.ng_server_client = ServerClient(
+            head_server_config=ServerClient.load_head_server_config(),
+            global_config_dict=get_global_config_dict(),
+        )
+        self.model_server_cookies = None
+
     @property
     def prompt_manager(self) -> PromptManager:
         if self._prompt_manager is None:
@@ -153,7 +164,7 @@ def reset(self) -> None:
         # Only clear pending actions, not LLM metrics
         self.pending_actions.clear()
 
-    def step(self, state: State) -> 'Action':
+    async def step(self, state: State) -> 'Action':
         """Performs one step using the CodeAct Agent.
 
         This includes gathering info on previous steps and prompting the model to make a command to execute.
@@ -211,14 +222,110 @@ def step(self, state: State) -> 'Action':
                 model_name=self.llm.config.model, agent_name=self.name
             )
         }
-        response = self.llm.completion(**params)
-        logger.debug(f'Response from LLM: {response}')
+
+        # Original code:
+        # response = self.llm.completion(**params)
+
+        start_time = time.time()
+        response = await self._nemo_gym_model_call(messages, params['tools'])
+        self.update_model_call_time(start_time)
+
+        ng_openhands_should_log = os.environ.get("NG_OPENHANDS_SHOULD_LOG", "").lower() == "true"
+        if ng_openhands_should_log:
+            logger.debug(f'Response from LLM: {response}')
+
         actions = self.response_to_actions(response)
-        logger.debug(f'Actions after response_to_actions: {actions}')
+
+        if ng_openhands_should_log:
+            logger.debug(f'Actions after response_to_actions: {actions}')
+
         for action in actions:
             self.pending_actions.append(action)
         return self.pending_actions.popleft()
 
+    def update_model_call_time(self, start_time: float) -> None:
+        import os, json
+
+        metrics_fpath = os.environ["NEMO_GYM_METRICS_FPATH"]
+        with open(metrics_fpath) as f:
+            existing_dict = json.loads(f.read())
+
+        model_call_time_taken = existing_dict.get("total_model_call_time", 0.0)
+        existing_dict["total_model_call_time"] = model_call_time_taken + time.time() - start_time
+
+        with open(metrics_fpath, "w") as f:
+            json.dump(existing_dict, f)
+
+    async def _nemo_gym_model_call(self, messages: list[Message], tools: list['ChatCompletionToolParam']) -> ModelResponse:
+        message_dicts = [m.model_dump() for m in messages]
+        params ={
+            "messages": message_dicts,
+            "tools": tools,
+            **self.llm._nemo_gym_llm_kwargs,
+        }
+
+        # Remove prompt_token_ids, generation_token_ids, and generation_log_probs from all messages except the last
+        fields_to_remove = ["prompt_token_ids", "generation_token_ids", "generation_log_probs"]
+        last_occurrence_idx_seen = False
+        for message in reversed(message_dicts):
+            if last_occurrence_idx_seen:
+                for field in fields_to_remove:
+                    if field in message:
+                        del message[field]
+            elif all(field in message for field in fields_to_remove):
+                last_occurrence_idx_seen = True
+
+        from nemo_gym.server_utils import get_response_json, raise_for_status
+
+        model_response = await self.ng_server_client.post(
+            server_name=os.getenv("NEMO_GYM_MODEL_SERVER_NAME"),
+            url_path="/v1/chat/completions",
+            json=params,
+            cookies=self.model_server_cookies,
+        )
+        # We raise for status here since we expect model calls to always work.
+        await raise_for_status(model_response)
+        model_response_json = await get_response_json(model_response)
+        self.model_server_cookies = model_response.cookies
+
+        response: ModelResponse = ModelResponse.model_validate(model_response_json)
+
+        response_message_dict = model_response_json["choices"][0]["message"]
+        provider_specific_fields = dict()
+        if response_message_dict.get("prompt_token_ids"):
+            provider_specific_fields = {
+                "prompt_token_ids": response_message_dict["prompt_token_ids"],
+                "generation_token_ids": response_message_dict["generation_token_ids"],
+                "generation_log_probs": response_message_dict["generation_log_probs"],
+            }
+            response._provider_specific_fields = provider_specific_fields
+
+        # Save the llm completion. See the original code in openhands/llm/llm.py
+        log_file = os.path.join(
+            self.llm.config.log_completions_folder,
+            f'{self.llm.config.model.replace("/", "__")}-{time.time()}.json',
+        )
+        _d = {
+            'messages': [m.model_dump() for m in messages],
+            'response': model_response_json,
+            'provider_specific_fields': provider_specific_fields,
+            # 'args': args,
+            'kwargs': {
+                k: v
+                for k, v in params.items()
+                if k not in ('messages', 'client')
+            },
+            'timestamp': time.time(),
+            # 'cost': cost,
+        }
+
+        temp_fd, temp_path = tempfile.mkstemp(dir=os.path.dirname(log_file))
+        with os.fdopen(temp_fd, 'w') as f:
+            f.write(json.dumps(_d))
+        os.replace(temp_path, log_file)
+
+        return response
+
     def _get_initial_user_message(self, history: list[Event]) -> MessageAction:
         """Finds the initial user message action from the full history."""
         initial_user_message: MessageAction | None = None
diff --git a/openhands/controller/agent_controller.py b/openhands/controller/agent_controller.py
index ef3d162d9d98..5ac3d22df073 100644
--- a/openhands/controller/agent_controller.py
+++ b/openhands/controller/agent_controller.py
@@ -928,7 +928,7 @@ async def _step(self) -> None:
             action = self._replay_manager.step()
         else:
             try:
-                action = self.agent.step(self.state)
+                action = await self.agent.step(self.state)
                 if action is None:
                     raise LLMNoActionError('No action was returned')
                 action._source = EventSource.AGENT  # type: ignore [attr-defined]
diff --git a/openhands/llm/llm.py b/openhands/llm/llm.py
index dee7c3a05c80..e81884cb3cc5 100644
--- a/openhands/llm/llm.py
+++ b/openhands/llm/llm.py
@@ -221,6 +221,12 @@ def __init__(
             cookie_value = raw_cookie.split(";")[0].strip()
             extra_headers["Cookie"] = cookie_value
 
+        # NeMo Gym: Grab params here for NeMo Gym client use downstream.
+        self._nemo_gym_llm_kwargs = kwargs | dict(
+            model=self.config.model,
+            seed=self.config.seed,
+        )
+
         self._completion = partial(
             litellm_completion,
             model=self.config.model,
diff --git a/openhands/runtime/base.py b/openhands/runtime/base.py
index 58e99077692e..6230bc131752 100644
--- a/openhands/runtime/base.py
+++ b/openhands/runtime/base.py
@@ -325,8 +325,22 @@ def add_env_vars(self, env_vars: dict[str, str]) -> None:
 
     def on_event(self, event: Event) -> None:
         if isinstance(event, Action):
+            start_time = time.time()
+
             asyncio.get_event_loop().run_until_complete(self._handle_action(event))
 
+            import os, json
+
+            metrics_fpath = os.environ["NEMO_GYM_METRICS_FPATH"]
+            with open(metrics_fpath) as f:
+                existing_dict = json.loads(f.read())
+
+            exec_time_taken = existing_dict.get("total_command_exec_time", 0.0)
+            existing_dict["total_command_exec_time"] = exec_time_taken + time.time() - start_time
+
+            with open(metrics_fpath, "w") as f:
+                json.dump(existing_dict, f)
+
     async def _export_latest_git_provider_tokens(self, event: Action) -> None:
         """Refresh runtime provider tokens when agent attemps to run action with provider token"""
         providers_called = ProviderHandler.check_cmd_action_for_provider_token_ref(
diff --git a/openhands/runtime/impl/local/local_runtime.py b/openhands/runtime/impl/local/local_runtime.py
index a9e533f20151..603e417bfc8a 100644
--- a/openhands/runtime/impl/local/local_runtime.py
+++ b/openhands/runtime/impl/local/local_runtime.py
@@ -683,6 +683,11 @@ def _create_server(
     # Prepend the interpreter's bin directory to PATH for subprocesses
     env['PATH'] = f'{_python_bin_path()}{os.pathsep}{env.get("PATH", "")}'
 
+    # NG Openhands should log propagation
+    ng_openhands_should_log = os.environ.get("NG_OPENHANDS_SHOULD_LOG", "").lower() == "true"
+    if ng_openhands_should_log:
+        env['NG_OPENHANDS_SHOULD_LOG'] = os.environ["NG_OPENHANDS_SHOULD_LOG"]
+
     logger.debug(f'Updated PATH for subprocesses: {env["PATH"]}')
 
     server_process = subprocess.Popen(  # noqa: S603
@@ -697,6 +702,7 @@ def _create_server(
 
     log_thread_exit_event = threading.Event()
 
+
     # Start a thread to read and log server output
     def log_output() -> None:
         if not server_process or not server_process.stdout:
@@ -712,7 +718,9 @@ def log_output() -> None:
                 line = server_process.stdout.readline()
                 if not line:
                     break
-                logger.info(f'server: {line.strip()}')
+
+                if ng_openhands_should_log:
+                    logger.info(f'server: {line.strip()}')
 
             # Capture any remaining output
             if not log_thread_exit_event.is_set():
@@ -720,7 +728,8 @@ def log_output() -> None:
                 for line in server_process.stdout:
                     if log_thread_exit_event.is_set():
                         break
-                    logger.info(f'server (remaining): {line.strip()}')
+                    if ng_openhands_should_log:
+                        logger.info(f'server (remaining): {line.strip()}')
 
         except Exception as e:
             logger.error(f'Error reading server output: {e}')
diff --git a/poetry.lock b/poetry.lock
index b1d96842994d..6b81df393f5e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.3.1 and should not be changed by hand.
 
 [[package]]
 name = "aiofiles"
@@ -132,6 +132,21 @@ yarl = ">=1.17.0,<2.0"
 [package.extras]
 speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
+[[package]]
+name = "aiohttp-cors"
+version = "0.8.1"
+description = "CORS support for aiohttp"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "aiohttp_cors-0.8.1-py3-none-any.whl", hash = "sha256:3180cf304c5c712d626b9162b195b1db7ddf976a2a25172b35bb2448b890a80d"},
+    {file = "aiohttp_cors-0.8.1.tar.gz", hash = "sha256:ccacf9cb84b64939ea15f859a146af1f662a6b1d68175754a07315e305fb1403"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.9"
+
 [[package]]
 name = "aiohttp-retry"
 version = "2.9.1"
@@ -280,6 +295,17 @@ aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.9)"]
 bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
 vertex = ["google-auth[requests] (>=2,<3)"]
 
+[[package]]
+name = "antlr4-python3-runtime"
+version = "4.9.3"
+description = "ANTLR 4.9.3 runtime for Python 3.7"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
+]
+
 [[package]]
 name = "anyio"
 version = "4.9.0"
@@ -704,7 +730,7 @@ version = "1.9.0"
 description = "Fast, simple object-to-object and broadcast signaling"
 optional = false
 python-versions = ">=3.9"
-groups = ["evaluation"]
+groups = ["main", "evaluation"]
 files = [
     {file = "blinker-1.9.0-py3-none-any.whl", hash = "sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"},
     {file = "blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf"},
@@ -1203,6 +1229,116 @@ types-awscrt = "*"
 [package.extras]
 botocore = ["botocore"]
 
+[[package]]
+name = "brotli"
+version = "1.2.0"
+description = "Python bindings for the Brotli compression library"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "brotli-1.2.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:99cfa69813d79492f0e5d52a20fd18395bc82e671d5d40bd5a91d13e75e468e8"},
+    {file = "brotli-1.2.0-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:3ebe801e0f4e56d17cd386ca6600573e3706ce1845376307f5d2cbd32149b69a"},
+    {file = "brotli-1.2.0-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:a387225a67f619bf16bd504c37655930f910eb03675730fc2ad69d3d8b5e7e92"},
+    {file = "brotli-1.2.0-cp27-cp27m-win32.whl", hash = "sha256:b908d1a7b28bc72dfb743be0d4d3f8931f8309f810af66c906ae6cd4127c93cb"},
+    {file = "brotli-1.2.0-cp27-cp27m-win_amd64.whl", hash = "sha256:d206a36b4140fbb5373bf1eb73fb9de589bb06afd0d22376de23c5e91d0ab35f"},
+    {file = "brotli-1.2.0-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:7e9053f5fb4e0dfab89243079b3e217f2aea4085e4d58c5c06115fc34823707f"},
+    {file = "brotli-1.2.0-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:4735a10f738cb5516905a121f32b24ce196ab82cfc1e4ba2e3ad1b371085fd46"},
+    {file = "brotli-1.2.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3b90b767916ac44e93a8e28ce6adf8d551e43affb512f2377c732d486ac6514e"},
+    {file = "brotli-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6be67c19e0b0c56365c6a76e393b932fb0e78b3b56b711d180dd7013cb1fd984"},
+    {file = "brotli-1.2.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0bbd5b5ccd157ae7913750476d48099aaf507a79841c0d04a9db4415b14842de"},
+    {file = "brotli-1.2.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:3f3c908bcc404c90c77d5a073e55271a0a498f4e0756e48127c35d91cf155947"},
+    {file = "brotli-1.2.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1b557b29782a643420e08d75aea889462a4a8796e9a6cf5621ab05a3f7da8ef2"},
+    {file = "brotli-1.2.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:81da1b229b1889f25adadc929aeb9dbc4e922bd18561b65b08dd9343cfccca84"},
+    {file = "brotli-1.2.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:ff09cd8c5eec3b9d02d2408db41be150d8891c5566addce57513bf546e3d6c6d"},
+    {file = "brotli-1.2.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:a1778532b978d2536e79c05dac2d8cd857f6c55cd0c95ace5b03740824e0e2f1"},
+    {file = "brotli-1.2.0-cp310-cp310-win32.whl", hash = "sha256:b232029d100d393ae3c603c8ffd7e3fe6f798c5e28ddca5feabb8e8fdb732997"},
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+
 [[package]]
 name = "browser-use"
 version = "0.8.0"
@@ -1276,7 +1412,7 @@ browsergym-miniwob = "0.13.3"
 browsergym-visualwebarena = "0.13.3"
 browsergym-webarena = "0.13.3"
 browsergym-workarena = ">=0.4.1"
-weblinx-browsergym = ">=0.0.1dev14"
+weblinx-browsergym = ">=0.0.1.dev14"
 
 [[package]]
 name = "browsergym-assistantbench"
@@ -1452,7 +1588,7 @@ packaging = ">=19.1"
 pyproject_hooks = "*"
 
 [package.extras]
-docs = ["furo (>=2023.08.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"]
+docs = ["furo (>=2023.8.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"]
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 uv = ["uv (>=0.1.18)"]
@@ -1810,6 +1946,21 @@ files = [
 ]
 markers = {main = "platform_system == \"Windows\" or os_name == \"nt\" or sys_platform == \"win32\"", dev = "os_name == \"nt\" or sys_platform == \"win32\"", runtime = "sys_platform == \"win32\"", test = "sys_platform == \"win32\""}
 
+[[package]]
+name = "colorful"
+version = "0.5.8"
+description = "Terminal string styling done right, in Python."
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "colorful-0.5.8-py2.py3-none-any.whl", hash = "sha256:a9381fdda3337fbaba5771991020abc69676afa102646650b759927892875992"},
+    {file = "colorful-0.5.8.tar.gz", hash = "sha256:bb16502b198be2f1c42ba3c52c703d5f651d826076817185f0294c1a549a7445"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
+
 [[package]]
 name = "comm"
 version = "0.2.2"
@@ -2207,6 +2358,28 @@ files = [
     {file = "cython-3.1.5.tar.gz", hash = "sha256:7e73c7e6da755a8dffb9e0e5c4398e364e37671778624188444f1ff0d9458112"},
 ]
 
+[[package]]
+name = "databricks-sdk"
+version = "0.80.0"
+description = "Databricks SDK for Python (Beta)"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "databricks_sdk-0.80.0-py3-none-any.whl", hash = "sha256:e654b08b945b4fc9651cfe65389035382c0885d74435123a0e4860d007fc963b"},
+    {file = "databricks_sdk-0.80.0.tar.gz", hash = "sha256:53e5228edd12caf619f4fd3c3d62fddd3ff4d5b30e1680e6b6aec68ac40e770b"},
+]
+
+[package.dependencies]
+google-auth = ">=2.0,<3.0"
+protobuf = ">=4.25.8,<5.26.dev0 || >5.29.0,<5.29.1 || >5.29.1,<5.29.2 || >5.29.2,<5.29.3 || >5.29.3,<5.29.4 || >5.29.4,<6.30.0 || >6.30.0,<6.30.1 || >6.30.1,<6.31.0 || >6.31.0,<7.0"
+requests = ">=2.28.1,<3"
+
+[package.extras]
+dev = ["autoflake (==2.3.1)", "black (==24.8.0)", "build", "databricks-connect", "httpx", "ipython", "ipywidgets", "isort (==5.13.2)", "langchain-openai ; python_version > \"3.7\"", "openai", "pycodestyle", "pyfakefs", "pytest", "pytest-cov", "pytest-mock", "pytest-rerunfailures", "pytest-xdist (>=3.6.1,<4.0)", "requests-mock", "wheel"]
+notebook = ["ipython (>=8,<10)", "ipywidgets (>=8,<9)"]
+openai = ["httpx", "langchain-openai ; python_version > \"3.7\"", "openai"]
+
 [[package]]
 name = "dataclasses-json"
 version = "0.6.7"
@@ -2229,7 +2402,7 @@ version = "3.0.1"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.8.0"
-groups = ["evaluation"]
+groups = ["main", "evaluation"]
 files = [
     {file = "datasets-3.0.1-py3-none-any.whl", hash = "sha256:db080aab41c8cc68645117a0f172e5c6789cbc672f066de0aa5a08fc3eebc686"},
     {file = "datasets-3.0.1.tar.gz", hash = "sha256:40d63b09e76a3066c32e746d6fdc36fd3f29ed2acd49bf5b1a2100da32936511"},
@@ -2408,13 +2581,28 @@ wrapt = ">=1.10,<2"
 [package.extras]
 dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools ; python_version >= \"3.12\"", "tox"]
 
+[[package]]
+name = "devtools"
+version = "0.6.1"
+description = "Python's missing debug print command and other development tools."
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "devtools-0.6.1-py3-none-any.whl", hash = "sha256:7334183972a8d04e81d08b7f62126abca9b6f4de51d825c5fdcb9c88f252601a"},
+    {file = "devtools-0.6.1.tar.gz", hash = "sha256:a054307594d35d28fae8df7629967363e851ae0ac7b2152640a8a401c39d42d7"},
+]
+
+[package.extras]
+pygments = ["Pygments (>=2.2.0)"]
+
 [[package]]
 name = "dill"
 version = "0.3.8"
 description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["evaluation"]
+groups = ["main", "evaluation"]
 files = [
     {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
     {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
@@ -2745,7 +2933,7 @@ files = [
 [package.dependencies]
 datasets = ">=2.0.0"
 dill = "*"
-fsspec = {version = ">=2021.05.0", extras = ["http"]}
+fsspec = {version = ">=2021.5.0", extras = ["http"]}
 huggingface-hub = ">=0.7.0"
 multiprocess = "*"
 numpy = ">=1.17"
@@ -3002,6 +3190,21 @@ files = [
     {file = "fastuuid-0.13.5.tar.gz", hash = "sha256:d4976821ab424d41542e1ea39bc828a9d454c3f8a04067c06fca123c5b95a1a1"},
 ]
 
+[[package]]
+name = "ffmpy"
+version = "1.0.0"
+description = "A simple Python wrapper for FFmpeg"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "ffmpy-1.0.0-py3-none-any.whl", hash = "sha256:5640e5f0fd03fb6236d0e119b16ccf6522db1c826fdf35dcb87087b60fd7504f"},
+    {file = "ffmpy-1.0.0.tar.gz", hash = "sha256:b12932e95435c8820f1cd041024402765f821971e4bae753b327fc02a6e12f8b"},
+]
+
+[package.extras]
+psutil = ["psutil (>=5.8.0)"]
+
 [[package]]
 name = "filelock"
 version = "3.18.0"
@@ -3057,7 +3260,7 @@ version = "3.1.1"
 description = "A simple framework for building complex web applications."
 optional = false
 python-versions = ">=3.9"
-groups = ["evaluation"]
+groups = ["main", "evaluation"]
 files = [
     {file = "flask-3.1.1-py3-none-any.whl", hash = "sha256:07aae2bb5eaf77993ef57e357491839f5fd9f4dc281593a81a9e4d79a24f295c"},
     {file = "flask-3.1.1.tar.gz", hash = "sha256:284c7b8f2f58cb737f0cf1c30fd7eaf0ccfcde196099d24ecede3fc2005aa59e"},
@@ -3075,6 +3278,22 @@ werkzeug = ">=3.1.0"
 async = ["asgiref (>=3.2)"]
 dotenv = ["python-dotenv"]
 
+[[package]]
+name = "flask-cors"
+version = "6.0.2"
+description = "A Flask extension simplifying CORS support"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
+    {file = "flask_cors-6.0.2-py3-none-any.whl", hash = "sha256:e57544d415dfd7da89a9564e1e3a9e515042df76e12130641ca6f3f2f03b699a"},
+    {file = "flask_cors-6.0.2.tar.gz", hash = "sha256:6e118f3698249ae33e429760db98ce032a8bf9913638d085ca0f4c5534ad2423"},
+]
+
+[package.dependencies]
+flask = ">=0.9"
+Werkzeug = ">=0.7"
+
 [[package]]
 name = "fonttools"
 version = "4.58.1"
@@ -3686,11 +3905,11 @@ files = [
 ]
 
 [package.dependencies]
-google-api-core = ">=1.31.6,<2.0.dev0 || >2.3.0,<3.0.0dev"
-google-auth = ">=1.25.0,<3.0dev"
+google-api-core = ">=1.31.6,<2.0.dev0 || >2.3.0,<3.0.0.dev0"
+google-auth = ">=1.25.0,<3.0.dev0"
 
 [package.extras]
-grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
+grpc = ["grpcio (>=1.38.0,<2.0.dev0)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-resource-manager"
@@ -3727,15 +3946,15 @@ files = [
 ]
 
 [package.dependencies]
-google-api-core = ">=2.15.0,<3.0.0dev"
-google-auth = ">=2.26.1,<3.0dev"
-google-cloud-core = ">=2.3.0,<3.0dev"
-google-crc32c = ">=1.0,<2.0dev"
+google-api-core = ">=2.15.0,<3.0.0.dev0"
+google-auth = ">=2.26.1,<3.0.dev0"
+google-cloud-core = ">=2.3.0,<3.0.dev0"
+google-crc32c = ">=1.0,<2.0.dev0"
 google-resumable-media = ">=2.7.2"
-requests = ">=2.18.0,<3.0.0dev"
+requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
-protobuf = ["protobuf (<6.0.0dev)"]
+protobuf = ["protobuf (<6.0.0.dev0)"]
 tracing = ["opentelemetry-api (>=1.1.0)"]
 
 [[package]]
@@ -3824,11 +4043,11 @@ files = [
 ]
 
 [package.dependencies]
-google-crc32c = ">=1.0,<2.0dev"
+google-crc32c = ">=1.0,<2.0.dev0"
 
 [package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)", "google-auth (>=1.22.0,<2.0dev)"]
-requests = ["requests (>=2.18.0,<3.0.0dev)"]
+aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "google-auth (>=1.22.0,<2.0.dev0)"]
+requests = ["requests (>=2.18.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "googleapis-common-protos"
@@ -3849,6 +4068,123 @@ protobuf = ">=3.20.2,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0)"]
 
+[[package]]
+name = "gradio"
+version = "5.38.2"
+description = "Python library for easily interacting with trained machine learning models"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "gradio-5.38.2-py3-none-any.whl", hash = "sha256:ef2a1099843868296881a89bfe5dbd71a6f72530a1d82512cd82cfe48bc05b32"},
+    {file = "gradio-5.38.2.tar.gz", hash = "sha256:34c49aa6c038ea5b21a1184ea94c5db2fe52bdfff6ecd3a22d2b913034d1ba4d"},
+]
+
+[package.dependencies]
+aiofiles = ">=22.0,<25.0"
+anyio = ">=3.0,<5.0"
+audioop-lts = {version = "<1.0", markers = "python_version >= \"3.13\""}
+brotli = ">=1.1.0"
+fastapi = ">=0.115.2,<1.0"
+ffmpy = "*"
+gradio-client = "1.11.0"
+groovy = ">=0.1,<1.0"
+httpx = ">=0.24.1,<1.0"
+huggingface-hub = ">=0.28.1"
+jinja2 = "<4.0"
+markupsafe = ">=2.0,<4.0"
+numpy = ">=1.0,<3.0"
+orjson = ">=3.0,<4.0"
+packaging = "*"
+pandas = ">=1.0,<3.0"
+pillow = ">=8.0,<12.0"
+pydantic = ">=2.0,<2.12"
+pydub = "*"
+python-multipart = ">=0.0.18"
+pyyaml = ">=5.0,<7.0"
+ruff = {version = ">=0.9.3", markers = "sys_platform != \"emscripten\""}
+safehttpx = ">=0.1.6,<0.2.0"
+semantic-version = ">=2.0,<3.0"
+starlette = {version = ">=0.40.0,<1.0", markers = "sys_platform != \"emscripten\""}
+tomlkit = ">=0.12.0,<0.14.0"
+typer = {version = ">=0.12,<1.0", markers = "sys_platform != \"emscripten\""}
+typing-extensions = ">=4.0,<5.0"
+urllib3 = {version = ">=2.0,<3.0", markers = "sys_platform == \"emscripten\""}
+uvicorn = {version = ">=0.14.0", markers = "sys_platform != \"emscripten\""}
+
+[package.extras]
+mcp = ["mcp (==1.10.1)", "pydantic (>=2.11) ; sys_platform != \"emscripten\""]
+oauth = ["authlib", "itsdangerous"]
+
+[[package]]
+name = "gradio-client"
+version = "1.11.0"
+description = "Python library for easily interacting with trained machine learning models"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "gradio_client-1.11.0-py3-none-any.whl", hash = "sha256:afb714aea50224f6f04679fe2ce79c1be75011012d0dc3b3ee575610a0dc8eb2"},
+    {file = "gradio_client-1.11.0.tar.gz", hash = "sha256:377c31d8082173663b230dad341614b127b2460fe24d5fd72ed456fb3f0b3a9e"},
+]
+
+[package.dependencies]
+fsspec = "*"
+httpx = ">=0.24.1"
+huggingface-hub = ">=0.19.3"
+packaging = "*"
+typing-extensions = ">=4.0,<5.0"
+websockets = ">=10.0,<16.0"
+
+[[package]]
+name = "graphene"
+version = "3.4.3"
+description = "GraphQL Framework for Python"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "graphene-3.4.3-py2.py3-none-any.whl", hash = "sha256:820db6289754c181007a150db1f7fff544b94142b556d12e3ebc777a7bf36c71"},
+    {file = "graphene-3.4.3.tar.gz", hash = "sha256:2a3786948ce75fe7e078443d37f609cbe5bb36ad8d6b828740ad3b95ed1a0aaa"},
+]
+
+[package.dependencies]
+graphql-core = ">=3.1,<3.3"
+graphql-relay = ">=3.1,<3.3"
+python-dateutil = ">=2.7.0,<3"
+typing-extensions = ">=4.7.1,<5"
+
+[package.extras]
+dev = ["coveralls (>=3.3,<5)", "mypy (>=1.10,<2)", "pytest (>=8,<9)", "pytest-asyncio (>=0.16,<2)", "pytest-benchmark (>=4,<5)", "pytest-cov (>=5,<6)", "pytest-mock (>=3,<4)", "ruff (==0.5.0)", "types-python-dateutil (>=2.8.1,<3)"]
+test = ["coveralls (>=3.3,<5)", "pytest (>=8,<9)", "pytest-asyncio (>=0.16,<2)", "pytest-benchmark (>=4,<5)", "pytest-cov (>=5,<6)", "pytest-mock (>=3,<4)"]
+
+[[package]]
+name = "graphql-core"
+version = "3.2.7"
+description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL."
+optional = false
+python-versions = "<4,>=3.7"
+groups = ["main"]
+files = [
+    {file = "graphql_core-3.2.7-py3-none-any.whl", hash = "sha256:17fc8f3ca4a42913d8e24d9ac9f08deddf0a0b2483076575757f6c412ead2ec0"},
+    {file = "graphql_core-3.2.7.tar.gz", hash = "sha256:27b6904bdd3b43f2a0556dad5d579bdfdeab1f38e8e8788e555bdcb586a6f62c"},
+]
+
+[[package]]
+name = "graphql-relay"
+version = "3.2.0"
+description = "Relay library for graphql-core"
+optional = false
+python-versions = ">=3.6,<4"
+groups = ["main"]
+files = [
+    {file = "graphql-relay-3.2.0.tar.gz", hash = "sha256:1ff1c51298356e481a0be009ccdff249832ce53f30559c1338f22a0e0d17250c"},
+    {file = "graphql_relay-3.2.0-py3-none-any.whl", hash = "sha256:c9b22bd28b170ba1fe674c74384a8ff30a76c8e26f88ac3aa1584dd3179953e5"},
+]
+
+[package.dependencies]
+graphql-core = ">=3.2,<3.3"
+
 [[package]]
 name = "greenlet"
 version = "3.2.2"
@@ -3934,6 +4270,21 @@ files = [
 pathspec = "*"
 tree-sitter-language-pack = "*"
 
+[[package]]
+name = "groovy"
+version = "0.1.2"
+description = "A small Python library created to help developers protect their applications from Server Side Request Forgery (SSRF) attacks."
+optional = false
+python-versions = ">3.9"
+groups = ["main"]
+files = [
+    {file = "groovy-0.1.2-py3-none-any.whl", hash = "sha256:7f7975bab18c729a257a8b1ae9dcd70b7cafb1720481beae47719af57c35fa64"},
+    {file = "groovy-0.1.2.tar.gz", hash = "sha256:25c1dc09b3f9d7e292458aa762c6beb96ea037071bf5e917fc81fb78d2231083"},
+]
+
+[package.extras]
+dev = ["pytest", "ruff (==0.9.3)"]
+
 [[package]]
 name = "groq"
 version = "0.32.0"
@@ -4074,6 +4425,29 @@ multidict = "*"
 [package.extras]
 protobuf = ["protobuf (>=3.20.0)"]
 
+[[package]]
+name = "gunicorn"
+version = "23.0.0"
+description = "WSGI HTTP Server for UNIX"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+markers = "platform_system != \"Windows\""
+files = [
+    {file = "gunicorn-23.0.0-py3-none-any.whl", hash = "sha256:ec400d38950de4dfd418cff8328b2c8faed0edb0d517d3394e457c317908ca4d"},
+    {file = "gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec"},
+]
+
+[package.dependencies]
+packaging = "*"
+
+[package.extras]
+eventlet = ["eventlet (>=0.24.1,!=0.36.0)"]
+gevent = ["gevent (>=1.4.0)"]
+setproctitle = ["setproctitle"]
+testing = ["coverage", "eventlet", "gevent", "pytest", "pytest-cov"]
+tornado = ["tornado (>=0.2)"]
+
 [[package]]
 name = "gymnasium"
 version = "1.1.1"
@@ -4271,6 +4645,21 @@ files = [
     {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
 ]
 
+[[package]]
+name = "huey"
+version = "2.6.0"
+description = "a little task queue"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "huey-2.6.0-py3-none-any.whl", hash = "sha256:1b9df9d370b49c6d5721ba8a01ac9a787cf86b3bdc584e4679de27b920395c3f"},
+    {file = "huey-2.6.0.tar.gz", hash = "sha256:8d11f8688999d65266af1425b831f6e3773e99415027177b8734b0ffd5e251f6"},
+]
+
+[package.extras]
+backends = ["redis (>=3.0.0)"]
+
 [[package]]
 name = "huggingface-hub"
 version = "0.32.4"
@@ -4310,6 +4699,23 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "authlib (>=1.
 torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
+[[package]]
+name = "hydra-core"
+version = "1.3.2"
+description = "A framework for elegantly configuring complex applications"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "hydra-core-1.3.2.tar.gz", hash = "sha256:8a878ed67216997c3e9d88a8e72e7b4767e81af37afb4ea3334b269a4390a824"},
+    {file = "hydra_core-1.3.2-py3-none-any.whl", hash = "sha256:fa0238a9e31df3373b35b0bfb672c34cc92718d21f81311d8996a16de1141d8b"},
+]
+
+[package.dependencies]
+antlr4-python3-runtime = "==4.9.*"
+omegaconf = ">=2.2,<2.4"
+packaging = "*"
+
 [[package]]
 name = "hyperframe"
 version = "6.1.0"
@@ -4567,7 +4973,7 @@ version = "2.2.0"
 description = "Safely pass data to untrusted environments and back."
 optional = false
 python-versions = ">=3.8"
-groups = ["evaluation"]
+groups = ["main", "evaluation"]
 files = [
     {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"},
     {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
@@ -4854,7 +5260,7 @@ fqdn = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 idna = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""}
-jsonschema-specifications = ">=2023.03.6"
+jsonschema-specifications = ">=2023.3.6"
 referencing = ">=0.28.4"
 rfc3339-validator = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
 rfc3986-validator = {version = ">0.1.0", optional = true, markers = "extra == \"format-nongpl\""}
@@ -5282,7 +5688,7 @@ files = [
 ]
 
 [package.dependencies]
-certifi = ">=14.05.14"
+certifi = ">=14.5.14"
 durationpy = ">=0.7"
 google-auth = ">=1.0.1"
 oauthlib = ">=3.2.2"
@@ -5768,8 +6174,11 @@ files = [
     {file = "lxml-5.4.0-cp36-cp36m-win_amd64.whl", hash = "sha256:7ce1a171ec325192c6a636b64c94418e71a1964f56d002cc28122fceff0b6121"},
     {file = "lxml-5.4.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:795f61bcaf8770e1b37eec24edf9771b307df3af74d1d6f27d812e15a9ff3872"},
     {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:29f451a4b614a7b5b6c2e043d7b64a15bd8304d7e767055e8ab68387a8cacf4e"},
+    {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:891f7f991a68d20c75cb13c5c9142b2a3f9eb161f1f12a9489c82172d1f133c0"},
     {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4aa412a82e460571fad592d0f93ce9935a20090029ba08eca05c614f99b0cc92"},
+    {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:ac7ba71f9561cd7d7b55e1ea5511543c0282e2b6450f122672a2694621d63b7e"},
     {file = "lxml-5.4.0-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:c5d32f5284012deaccd37da1e2cd42f081feaa76981f0eaa474351b68df813c5"},
+    {file = "lxml-5.4.0-cp37-cp37m-musllinux_1_2_aarch64.whl", hash = "sha256:ce31158630a6ac85bddd6b830cffd46085ff90498b397bd0a259f59d27a12188"},
     {file = "lxml-5.4.0-cp37-cp37m-musllinux_1_2_x86_64.whl", hash = "sha256:31e63621e073e04697c1b2d23fcb89991790eef370ec37ce4d5d469f40924ed6"},
     {file = "lxml-5.4.0-cp37-cp37m-win32.whl", hash = "sha256:be2ba4c3c5b7900246a8f866580700ef0d538f2ca32535e991027bdaba944063"},
     {file = "lxml-5.4.0-cp37-cp37m-win_amd64.whl", hash = "sha256:09846782b1ef650b321484ad429217f5154da4d6e786636c38e434fa32e94e49"},
@@ -6150,6 +6559,119 @@ files = [
     {file = "mistune-3.1.3.tar.gz", hash = "sha256:a7035c21782b2becb6be62f8f25d3df81ccb4d6fa477a6525b15af06539f02a0"},
 ]
 
+[[package]]
+name = "mlflow"
+version = "3.8.1"
+description = "MLflow is an open source platform for the complete machine learning lifecycle"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "mlflow-3.8.1-py3-none-any.whl", hash = "sha256:42f26b52438fdb615588e150407c6516d0f64d417436dfc75599c525a464f210"},
+    {file = "mlflow-3.8.1.tar.gz", hash = "sha256:0823377bedff4d530b0d560bf394daf9f7e9fbba53453add04eadad34de962cc"},
+]
+
+[package.dependencies]
+alembic = "<1.10.0 || >1.10.0,<2"
+cryptography = ">=43.0.0,<47"
+docker = ">=4.0.0,<8"
+Flask = "<4"
+Flask-CORS = "<7"
+graphene = "<4"
+gunicorn = {version = "<24", markers = "platform_system != \"Windows\""}
+huey = ">=2.5.0,<3"
+matplotlib = "<4"
+mlflow-skinny = "3.8.1"
+mlflow-tracing = "3.8.1"
+numpy = "<3"
+pandas = "<3"
+pyarrow = ">=4.0.0,<23"
+scikit-learn = "<2"
+scipy = "<2"
+sqlalchemy = ">=1.4.0,<3"
+waitress = {version = "<4", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+aliyun-oss = ["aliyunstoreplugin"]
+auth = ["Flask-WTF (<2)"]
+databricks = ["azure-storage-file-datalake (>12)", "boto3 (>1)", "botocore", "databricks-agents (>=1.2.0,<2.0)", "google-cloud-storage (>=1.30.0)"]
+extras = ["azureml-core (>=1.2.0)", "boto3", "botocore", "google-cloud-storage (>=1.30.0)", "kubernetes", "prometheus-flask-exporter", "pyarrow", "pysftp", "requests-auth-aws-sigv4", "virtualenv"]
+gateway = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"]
+genai = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "litellm (>=1.0.0,<2)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"]
+jfrog = ["mlflow-jfrog-plugin"]
+langchain = ["langchain (>=0.3.12,<=1.1.3)"]
+mcp = ["click (!=8.3.0)", "fastmcp (>=2.0.0,<3)"]
+mlserver = ["mlserver (>=1.2.0,!=1.3.1,<2.0.0)", "mlserver-mlflow (>=1.2.0,!=1.3.1,<2.0.0)"]
+sqlserver = ["mlflow-dbstore"]
+
+[[package]]
+name = "mlflow-skinny"
+version = "3.8.1"
+description = "MLflow is an open source platform for the complete machine learning lifecycle"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "mlflow_skinny-3.8.1-py3-none-any.whl", hash = "sha256:3a6ee27f5ac1e67c1d565fa0e12c070b27129b03e669dcaf88ff841176429142"},
+    {file = "mlflow_skinny-3.8.1.tar.gz", hash = "sha256:0c0aade08187030a4653e267bcd63de2f12cbfebf4c6737832cba45d6fb3594d"},
+]
+
+[package.dependencies]
+cachetools = ">=5.0.0,<7"
+click = ">=7.0,<9"
+cloudpickle = "<4"
+databricks-sdk = ">=0.20.0,<1"
+fastapi = "<1"
+gitpython = ">=3.1.9,<4"
+importlib_metadata = ">=3.7.0,<4.7.0 || >4.7.0,<9"
+opentelemetry-api = ">=1.9.0,<3"
+opentelemetry-proto = ">=1.9.0,<3"
+opentelemetry-sdk = ">=1.9.0,<3"
+packaging = "<26"
+protobuf = ">=3.12.0,<7"
+pydantic = ">=2.0.0,<3"
+python-dotenv = ">=0.19.0,<2"
+pyyaml = ">=5.1,<7"
+requests = ">=2.17.3,<3"
+sqlparse = ">=0.4.0,<1"
+typing-extensions = ">=4.0.0,<5"
+uvicorn = "<1"
+
+[package.extras]
+aliyun-oss = ["aliyunstoreplugin"]
+auth = ["Flask-WTF (<2)"]
+databricks = ["azure-storage-file-datalake (>12)", "boto3 (>1)", "botocore", "databricks-agents (>=1.2.0,<2.0)", "google-cloud-storage (>=1.30.0)"]
+extras = ["azureml-core (>=1.2.0)", "boto3", "botocore", "google-cloud-storage (>=1.30.0)", "kubernetes", "prometheus-flask-exporter", "pyarrow", "pysftp", "requests-auth-aws-sigv4", "virtualenv"]
+gateway = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"]
+genai = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "litellm (>=1.0.0,<2)", "slowapi (>=0.1.9,<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<2)"]
+jfrog = ["mlflow-jfrog-plugin"]
+langchain = ["langchain (>=0.3.12,<=1.1.3)"]
+mcp = ["click (!=8.3.0)", "fastmcp (>=2.0.0,<3)"]
+mlserver = ["mlserver (>=1.2.0,!=1.3.1,<2.0.0)", "mlserver-mlflow (>=1.2.0,!=1.3.1,<2.0.0)"]
+sqlserver = ["mlflow-dbstore"]
+
+[[package]]
+name = "mlflow-tracing"
+version = "3.8.1"
+description = "MLflow Tracing SDK is an open-source, lightweight Python package that only includes the minimum set of dependencies and functionality to instrument your code/models/agents with MLflow Tracing."
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+files = [
+    {file = "mlflow_tracing-3.8.1-py3-none-any.whl", hash = "sha256:12d9b5b7177b4152979d003e0d967b280c4252758639aebdfd672734283b17bf"},
+    {file = "mlflow_tracing-3.8.1.tar.gz", hash = "sha256:c032ba715994a4580323f3045fa2700a6323033d87e564bbcbda37e6ab993071"},
+]
+
+[package.dependencies]
+cachetools = ">=5.0.0,<7"
+databricks-sdk = ">=0.20.0,<1"
+opentelemetry-api = ">=1.9.0,<3"
+opentelemetry-proto = ">=1.9.0,<3"
+opentelemetry-sdk = ">=1.9.0,<3"
+packaging = "<26"
+protobuf = ">=3.12.0,<7"
+pydantic = ">=2.0.0,<3"
+
 [[package]]
 name = "modal"
 version = "1.1.0"
@@ -6424,7 +6946,7 @@ version = "0.70.16"
 description = "better multiprocessing and multithreading in Python"
 optional = false
 python-versions = ">=3.8"
-groups = ["evaluation"]
+groups = ["main", "evaluation"]
 files = [
     {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"},
     {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"},
@@ -6628,6 +7150,45 @@ traitlets = ">=5.1"
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
 test = ["pep440", "pre-commit", "pytest", "testpath"]
 
+[[package]]
+name = "NeMo-Gym"
+version = "0.2.0rc0"
+description = "NeMo Gym is a library for building reinforcement learning environments"
+optional = false
+python-versions = ">=3.12"
+groups = ["main"]
+files = []
+develop = false
+
+[package.dependencies]
+aiohttp = "*"
+datasets = "*"
+devtools = "*"
+fastapi = "*"
+gradio = "*"
+hydra-core = "*"
+mlflow = "*"
+omegaconf = "*"
+openai = "<=2.6.1"
+orjson = "*"
+psutil = "*"
+pydantic = "*"
+pydantic_core = "*"
+ray = {version = "*", extras = ["default"]}
+tqdm = "*"
+uvicorn = "*"
+uvloop = "*"
+yappi = "*"
+
+[package.extras]
+dev = ["coverage[toml]", "mypy (>=1.8.0)", "pre-commit (>=3.6.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-xdist", "requests-mock", "ruff"]
+
+[package.source]
+type = "git"
+url = "https://github.com/NVIDIA-NeMo/Gym.git"
+reference = "main"
+resolved_reference = "2e96cb6b85b5acf510e035f095393d0677202e53"
+
 [[package]]
 name = "nest-asyncio"
 version = "1.6.0"
@@ -7171,6 +7732,22 @@ files = [
 httpx = ">=0.27"
 pydantic = ">=2.9"
 
+[[package]]
+name = "omegaconf"
+version = "2.3.0"
+description = "A flexible configuration library"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "omegaconf-2.3.0-py3-none-any.whl", hash = "sha256:7b4df175cdb08ba400f45cae3bdcae7ba8365db4d165fc65fd04b050ab63b46b"},
+    {file = "omegaconf-2.3.0.tar.gz", hash = "sha256:d5d4b6d29955cc50ad50c46dc269bcd92c6e00f5f90d23ab5fee7bfca4ba4cc7"},
+]
+
+[package.dependencies]
+antlr4-python3-runtime = "==4.9.*"
+PyYAML = ">=5.1.0"
+
 [[package]]
 name = "openai"
 version = "1.99.9"
@@ -7281,6 +7858,35 @@ jsonschema-path = ">=0.3.1,<0.4.0"
 lazy-object-proxy = ">=1.7.1,<2.0.0"
 openapi-schema-validator = ">=0.6.0,<0.7.0"
 
+[[package]]
+name = "opencensus"
+version = "0.11.4"
+description = "A stats collection and distributed tracing framework"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "opencensus-0.11.4-py2.py3-none-any.whl", hash = "sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864"},
+    {file = "opencensus-0.11.4.tar.gz", hash = "sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2"},
+]
+
+[package.dependencies]
+google-api-core = {version = ">=1.0.0,<3.0.0", markers = "python_version >= \"3.6\""}
+opencensus-context = ">=0.1.3"
+six = ">=1.16,<2.0"
+
+[[package]]
+name = "opencensus-context"
+version = "0.1.3"
+description = "OpenCensus Runtime Context"
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "opencensus-context-0.1.3.tar.gz", hash = "sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c"},
+    {file = "opencensus_context-0.1.3-py2.py3-none-any.whl", hash = "sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039"},
+]
+
 [[package]]
 name = "openhands-aci"
 version = "0.3.2"
@@ -7489,6 +8095,23 @@ opentelemetry-sdk = ">=1.38.0,<1.39.0"
 requests = ">=2.7,<3.0"
 typing-extensions = ">=4.5.0"
 
+[[package]]
+name = "opentelemetry-exporter-prometheus"
+version = "0.59b0"
+description = "Prometheus Metric Exporter for OpenTelemetry"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "opentelemetry_exporter_prometheus-0.59b0-py3-none-any.whl", hash = "sha256:71ced23207abd15b30d1fe4e7e910dcaa7c2ff1f24a6ffccbd4fdded676f541b"},
+    {file = "opentelemetry_exporter_prometheus-0.59b0.tar.gz", hash = "sha256:d64f23c49abb5a54e271c2fbc8feacea0c394a30ec29876ab5ef7379f08cf3d7"},
+]
+
+[package.dependencies]
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-sdk = ">=1.38.0,<1.39.0"
+prometheus-client = ">=0.5.0,<1.0.0"
+
 [[package]]
 name = "opentelemetry-instrumentation"
 version = "0.59b0"
@@ -7905,6 +8528,7 @@ files = [
     {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
     {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
 ]
+markers = {runtime = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
 
 [package.dependencies]
 ptyprocess = ">=0.5"
@@ -8443,6 +9067,7 @@ files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
 ]
+markers = {runtime = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or os_name != \"nt\""}
 
 [[package]]
 name = "pure-eval"
@@ -8483,13 +9108,34 @@ files = [
     {file = "py-1.11.0.tar.gz", hash = "sha256:51c75c4126074b472f746a24399ad32f6053d1b34b68d2fa41e558e6f4a98719"},
 ]
 
+[[package]]
+name = "py-spy"
+version = "0.4.1"
+description = ""
+optional = false
+python-versions = "*"
+groups = ["main"]
+files = [
+    {file = "py_spy-0.4.1-py2.py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:809094208c6256c8f4ccadd31e9a513fe2429253f48e20066879239ba12cd8cc"},
+    {file = "py_spy-0.4.1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:1fb8bf71ab8df95a95cc387deed6552934c50feef2cf6456bc06692a5508fd0c"},
+    {file = "py_spy-0.4.1-py2.py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ee776b9d512a011d1ad3907ed53ae32ce2f3d9ff3e1782236554e22103b5c084"},
+    {file = "py_spy-0.4.1-py2.py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:532d3525538254d1859b49de1fbe9744df6b8865657c9f0e444bf36ce3f19226"},
+    {file = "py_spy-0.4.1-py2.py3-none-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4972c21890b6814017e39ac233c22572c4a61fd874524ebc5ccab0f2237aee0a"},
+    {file = "py_spy-0.4.1-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:6a80ec05eb8a6883863a367c6a4d4f2d57de68466f7956b6367d4edd5c61bb29"},
+    {file = "py_spy-0.4.1-py2.py3-none-win_amd64.whl", hash = "sha256:d92e522bd40e9bf7d87c204033ce5bb5c828fca45fa28d970f58d71128069fdc"},
+    {file = "py_spy-0.4.1.tar.gz", hash = "sha256:e53aa53daa2e47c2eef97dd2455b47bb3a7e7f962796a86cc3e7dbde8e6f4db4"},
+]
+
+[package.extras]
+test = ["numpy"]
+
 [[package]]
 name = "pyarrow"
 version = "21.0.0"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.9"
-groups = ["evaluation"]
+groups = ["main", "evaluation"]
 files = [
     {file = "pyarrow-21.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e563271e2c5ff4d4a4cbeb2c83d5cf0d4938b891518e676025f7268c6fe5fe26"},
     {file = "pyarrow-21.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:fee33b0ca46f4c85443d6c450357101e47d53e6c3f008d658c27a2d020d44c79"},
@@ -13376,6 +14022,73 @@ files = [
 [package.extras]
 all = ["numpy"]
 
+[[package]]
+name = "ray"
+version = "2.52.1"
+description = "Ray provides a simple, universal API for building distributed applications."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "ray-2.52.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:993194a8be70540e0f819862031bbf19a64401fbe6c31b42065fd313ba466d34"},
+    {file = "ray-2.52.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:65bf461fdfe4ffa667c46f9455f8740b2ad6c1fa471b461d5f5cf6b7baf177b5"},
+    {file = "ray-2.52.1-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:b3f9e61b799fb3cc8fd7077a3d2eb676ddfef7db644f6b6a2b657c5c3214cf19"},
+    {file = "ray-2.52.1-cp310-cp310-win_amd64.whl", hash = "sha256:24694e60cdc7770b90f123cc578cabb9d1a231c1fe673b5da0027b118de45846"},
+    {file = "ray-2.52.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:f59e3b2d1a1466ac0778f2c6fac9ccb5f30107d77e3dddd1d60167248d268474"},
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+tune = ["fsspec", "pandas", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "tensorboardX (>=1.9)"]
+
 [[package]]
 name = "redis"
 version = "6.2.0"
@@ -13835,7 +14548,7 @@ version = "0.12.5"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
-groups = ["dev", "evaluation"]
+groups = ["main", "dev", "evaluation"]
 files = [
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@@ -13856,6 +14569,7 @@ files = [
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 ]
+markers = {main = "sys_platform != \"emscripten\""}
 
 [[package]]
 name = "runloop-api-client"
@@ -13894,10 +14608,10 @@ files = [
 ]
 
 [package.dependencies]
-botocore = ">=1.37.4,<2.0a.0"
+botocore = ">=1.37.4,<2.0a0"
 
 [package.extras]
-crt = ["botocore[crt] (>=1.37.4,<2.0a.0)"]
+crt = ["botocore[crt] (>=1.37.4,<2.0a0)"]
 
 [[package]]
 name = "sacrebleu"
@@ -13924,6 +14638,24 @@ dev = ["lxml-stubs", "mypy", "pytest", "setuptools", "types-tabulate", "wheel"]
 ja = ["ipadic (>=1.0,<2.0)", "mecab-python3 (>=1.0.9,<2.0.0)"]
 ko = ["mecab-ko (>=1.0.0,<=1.0.1)", "mecab-ko-dic (>=1.0,<2.0)"]
 
+[[package]]
+name = "safehttpx"
+version = "0.1.7"
+description = "A small Python library created to help developers protect their applications from Server Side Request Forgery (SSRF) attacks."
+optional = false
+python-versions = ">3.9"
+groups = ["main"]
+files = [
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+    {file = "safehttpx-0.1.7.tar.gz", hash = "sha256:db201c0978c41eddb8bb480f3eee59dd67304fdd91646035e9d9a720049a9d23"},
+]
+
+[package.dependencies]
+httpx = "*"
+
+[package.extras]
+dev = ["pytest"]
+
 [[package]]
 name = "safetensors"
 version = "0.5.3"
@@ -14028,13 +14760,75 @@ docs = ["PyWavelets (>=1.6)", "dask[array] (>=2023.2.0)", "intersphinx-registry
 optional = ["PyWavelets (>=1.6)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=1.1.1)", "dask[array] (>=2023.2.0)", "matplotlib (>=3.7)", "pooch (>=1.6.0)", "pyamg (>=5.2)", "scikit-learn (>=1.2)"]
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+[[package]]
+name = "scikit-learn"
+version = "1.8.0"
+description = "A set of python modules for machine learning and data mining"
+optional = false
+python-versions = ">=3.11"
+groups = ["main"]
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+[package.dependencies]
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+numpy = ">=1.24.1"
+scipy = ">=1.10.0"
+threadpoolctl = ">=3.2.0"
+
+[package.extras]
+benchmark = ["matplotlib (>=3.6.1)", "memory_profiler (>=0.57.0)", "pandas (>=1.5.0)"]
+build = ["cython (>=3.1.2)", "meson-python (>=0.17.1)", "numpy (>=1.24.1)", "scipy (>=1.10.0)"]
+docs = ["Pillow (>=10.1.0)", "matplotlib (>=3.6.1)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.5.0)", "plotly (>=5.18.0)", "polars (>=0.20.30)", "pooch (>=1.8.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.22.0)", "seaborn (>=0.13.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"]
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+install = ["joblib (>=1.3.0)", "numpy (>=1.24.1)", "scipy (>=1.10.0)", "threadpoolctl (>=3.2.0)"]
+maintenance = ["conda-lock (==3.0.1)"]
+tests = ["matplotlib (>=3.6.1)", "mypy (>=1.15)", "numpydoc (>=1.2.0)", "pandas (>=1.5.0)", "polars (>=0.20.30)", "pooch (>=1.8.0)", "pyamg (>=5.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.11.7)"]
+
 [[package]]
 name = "scipy"
 version = "1.15.3"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.10"
-groups = ["evaluation"]
+groups = ["main", "evaluation"]
 files = [
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@@ -14163,6 +14957,22 @@ files = [
 cryptography = ">=2.0"
 jeepney = ">=0.6"
 
+[[package]]
+name = "semantic-version"
+version = "2.10.0"
+description = "A library implementing the 'SemVer' scheme."
+optional = false
+python-versions = ">=2.7"
+groups = ["main"]
+files = [
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+
+[package.extras]
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+doc = ["Sphinx", "sphinx-rtd-theme"]
+
 [[package]]
 name = "send2trash"
 version = "1.8.3"
@@ -14322,6 +15132,32 @@ files = [
     {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
 ]
 
+[[package]]
+name = "smart-open"
+version = "7.5.0"
+description = "Utils for streaming large files (S3, HDFS, GCS, SFTP, Azure Blob Storage, gzip, bz2, zst...)"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
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+    {file = "smart_open-7.5.0.tar.gz", hash = "sha256:f394b143851d8091011832ac8113ea4aba6b92e6c35f6e677ddaaccb169d7cb9"},
+]
+
+[package.dependencies]
+wrapt = "*"
+
+[package.extras]
+all = ["smart_open[azure,gcs,http,s3,ssh,webhdfs,zst]"]
+azure = ["azure-common", "azure-core", "azure-storage-blob"]
+gcs = ["google-api-core (<2.28) ; python_version < \"3.10\"", "google-cloud-storage (>=2.6.0)"]
+http = ["requests"]
+s3 = ["boto3 (>=1.9.17)"]
+ssh = ["paramiko"]
+test = ["awscli", "flake8", "moto[server]", "numpy", "pyopenssl", "pytest", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist[psutil]", "pytest_benchmark", "responses", "smart_open[all]"]
+webhdfs = ["requests"]
+zst = ["backports.zstd (>=1.0.0) ; python_version < \"3.14\""]
+
 [[package]]
 name = "smmap"
 version = "5.0.2"
@@ -14482,6 +15318,22 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
+[[package]]
+name = "sqlparse"
+version = "0.5.5"
+description = "A non-validating SQL parser."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+
+[package.extras]
+dev = ["build"]
+doc = ["sphinx"]
+
 [[package]]
 name = "sse-starlette"
 version = "3.0.2"
@@ -14827,6 +15679,18 @@ files = [
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 ]
 
+[[package]]
+name = "threadpoolctl"
+version = "3.6.0"
+description = "threadpoolctl"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+]
+
 [[package]]
 name = "tifffile"
 version = "2025.6.1"
@@ -15364,7 +16228,7 @@ files = [
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 ]
-markers = {main = "extra == \"third-party-runtimes\""}
+markers = {main = "extra == \"third-party-runtimes\" or sys_platform != \"emscripten\""}
 
 [package.dependencies]
 click = ">=8.0.0"
@@ -15618,6 +16482,70 @@ h11 = ">=0.8"
 [package.extras]
 standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
 
+[[package]]
+name = "uvloop"
+version = "0.22.1"
+description = "Fast implementation of asyncio event loop on top of libuv"
+optional = false
+python-versions = ">=3.8.1"
+groups = ["main"]
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+    {file = "uvloop-0.22.1.tar.gz", hash = "sha256:6c84bae345b9147082b17371e3dd5d42775bddce91f885499017f4607fdaf39f"},
+]
+
+[package.extras]
+dev = ["Cython (>=3.0,<4.0)", "setuptools (>=60)"]
+docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx_rtd_theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"]
+test = ["aiohttp (>=3.10.5)", "flake8 (>=6.1,<7.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=25.3.0,<25.4.0)", "pycodestyle (>=2.11.0,<2.12.0)"]
+
 [[package]]
 name = "virtualenv"
 version = "20.31.2"
@@ -15672,6 +16600,23 @@ url = "https://github.com/luolin101/Visual-SWE-bench.git"
 reference = "HEAD"
 resolved_reference = "e12d06686202a778956bf4faa65330be23feb23e"
 
+[[package]]
+name = "waitress"
+version = "3.0.2"
+description = "Waitress WSGI server"
+optional = false
+python-versions = ">=3.9.0"
+groups = ["main"]
+markers = "platform_system == \"Windows\""
+files = [
+    {file = "waitress-3.0.2-py3-none-any.whl", hash = "sha256:c56d67fd6e87c2ee598b76abdd4e96cfad1f24cacdea5078d382b1f9d7b5ed2e"},
+    {file = "waitress-3.0.2.tar.gz", hash = "sha256:682aaaf2af0c44ada4abfb70ded36393f0e307f4ab9456a215ce0020baefc31f"},
+]
+
+[package.extras]
+docs = ["Sphinx (>=1.8.1)", "docutils", "pylons-sphinx-themes (>=1.0.9)"]
+testing = ["coverage (>=7.6.0)", "pytest", "pytest-cov"]
+
 [[package]]
 name = "watchdog"
 version = "6.0.0"
@@ -16254,7 +17199,7 @@ version = "3.5.0"
 description = "Python binding for xxHash"
 optional = false
 python-versions = ">=3.7"
-groups = ["evaluation"]
+groups = ["main", "evaluation"]
 files = [
     {file = "xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ece616532c499ee9afbb83078b1b952beffef121d989841f7f4b3dc5ac0fd212"},
     {file = "xxhash-3.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3171f693dbc2cef6477054a665dc255d996646b4023fe56cb4db80e26f4cc520"},
@@ -16381,6 +17326,82 @@ files = [
     {file = "xxhash-3.5.0.tar.gz", hash = "sha256:84f2caddf951c9cbf8dc2e22a89d4ccf5d86391ac6418fe81e3c67d0cf60b45f"},
 ]
 
+[[package]]
+name = "yappi"
+version = "1.7.3"
+description = "Yet Another Python Profiler"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
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+    {file = "yappi-1.7.3-cp312-cp312-win32.whl", hash = "sha256:b93bbf4e6951c1ace9687ac6b027c4b14a581359f233b2dfb21108fe08650397"},
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+    {file = "yappi-1.7.3-cp314-cp314-win_amd64.whl", hash = "sha256:056bdebc61eb394f53c74cae208ae0ab3811147a5671921dd1fa126d682d8337"},
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+    {file = "yappi-1.7.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:cca07f89087a48b05b7aa60a613d0684746831f15530575a07cfa4693f302237"},
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+    {file = "yappi-1.7.3-cp38-cp38-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:67aabcc3227b41d18371ca85df6abb7e2d582bac37d9ae282b0e25f69cb3e85f"},
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+    {file = "yappi-1.7.3-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:5df93fdf8a2cce1b93c9aeef61da174cd21847163ee849541bad5c7676e92ade"},
+    {file = "yappi-1.7.3-cp38-cp38-win32.whl", hash = "sha256:6c64a60746e1564a2bd5da4ca041d412458669f61952d13e2281992e28689fe0"},
+    {file = "yappi-1.7.3-cp38-cp38-win_amd64.whl", hash = "sha256:149102eb27c88d1c83e6513c1cbc846855c5cf17593dcd27afbaab5e1d0adf26"},
+    {file = "yappi-1.7.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8717e2ad513218e2f92b9e8ebef19dd1fa4c95840bc7bab4ce9ffc15bc56deb2"},
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+    {file = "yappi-1.7.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:83856257bad9ebb4fceef2e7ce6bc34a0c149ab2dd79b3457514c8f8f80fc3a3"},
+    {file = "yappi-1.7.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b71286e39867cfe15ad83df1832a02f867eb7eaea615c6b8ad1277bb4d43c661"},
+    {file = "yappi-1.7.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:df809a9aa396715aac4a51244c2db78a385e82b9405c10aa0e9be164a2cfb0cb"},
+    {file = "yappi-1.7.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:4de651a539cacd137629990f99a2b9c885a62ea278d4987386d44ec0dbdc9a73"},
+    {file = "yappi-1.7.3-cp39-cp39-win32.whl", hash = "sha256:1720c677285bfc02ae09389f636f362e7a0687fcc35b3de322c9540757c118f1"},
+    {file = "yappi-1.7.3-cp39-cp39-win_amd64.whl", hash = "sha256:f5c5bc828d63316351f5d6c499e1d50f332a9522621b5dc64c71ce1167909621"},
+    {file = "yappi-1.7.3-cp39-cp39-win_arm64.whl", hash = "sha256:a546b77416eceaab2668c2fde52db183b96214351a5fc518300cfdd319d4131f"},
+    {file = "yappi-1.7.3.tar.gz", hash = "sha256:bef71ad0595b600261668dcb1e18b935a7117a724c04d7be60d9d246e32d0928"},
+]
+
+[package.extras]
+test = ["gevent (>=20.6.2)"]
+
 [[package]]
 name = "yarl"
 version = "1.20.0"
@@ -16729,4 +17750,4 @@ third-party-runtimes = ["daytona", "e2b-code-interpreter", "modal", "runloop-api
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.12,<3.14"
-content-hash = "0fe5bab6aeb5ebce4588b30cfcf491af4cc9d9b9cd5160e67c8a055d9db276fc"
+content-hash = "195f384a17b6b56b29427b2ed8acd9411cbbf3088c292f1850aa54bbf2f7196c"
diff --git a/pyproject.toml b/pyproject.toml
index 28b7b03f9afc..4e1646ad3f28 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -125,6 +125,9 @@ pg8000 = "^1.31.5"
 asyncpg = "^0.30.0"
 lmnr = "^0.7.20"
 
+# NeMo Gym
+nemo-gym = { git = "https://github.com/NVIDIA-NeMo/Gym.git", rev = "main" }
+
 [tool.poetry.extras]
 third_party_runtimes = [ "e2b-code-interpreter", "modal", "runloop-api-client", "daytona" ]