diff --git a/README.md b/README.md index 41469410b..81d24e0a0 100644 --- a/README.md +++ b/README.md @@ -25,6 +25,7 @@ - [FAQ: build-docs / Build docs CI failures](#faq-build-docs--build-docs-ci-failures) - [FAQ: NeMo Gym, training frameworks, and token IDs](#faq-nemo-gym-training-frameworks-and-token-ids) - [FAQ: NeMo Gym what CI/CD do I need to pass?](#faq-nemo-gym-what-cicd-do-i-need-to-pass) +- [FAQ: Why aiohttp backend and not httpx/httpcore for async http?](#faq-why-aiohttp-backend-and-not-httpxhttpcore-for-async-http) # NeMo-Gym @@ -886,3 +887,43 @@ Examples of PR checks that most PRs do not need to wait for to pass: 1. CICD NeMo / cicd-container-build / build / main (push) 2. CICD NeMo / Nemo_CICD_Test (push) ... + + +# FAQ: Why aiohttp backend and not httpx/httpcore for async http? + +TL;DR: httpx is O(n^2) runtime where n is the number of queued requests (i.e. for each request, we check all other queued requests). This is terribly inefficient and results in major slowdowns. + +On Wed Sep 17, 2025, inspired by the Deepseek R1 Nature paper, we tried launching a larger rollout batch run with up to 16 off policy steps in NeMo RL. Our setting resulted in Gym being slammed with 16k concurrent requests. At the time, we were using a single Gym instance with multiple data-parallel vLLM workers, and that setup hung for 40 minutes before the first request was processed. Something was wrong. + +Before that time, we had also gotten reports that the rollout collection in Gym couldn't be used with high concurrency i.e. in some cases people had to set the concurrency to 32 requests in parallel. Putting these two data points together, we figured something was wrong with the concurrency setup in Gym. + +For some context, Gym is a set of servers that end up calling a model endpoint server at some point. And it's really important that we never artificially restrict the concurrency in the Gym side since technically we are always clients of that model endpoint server, since the model endpoint server could handle many more requests than we're restricting the concurrency to. So we always want Gym to be as efficient as possible and not have e.g. max parallel requests or smth parameter in Gym. + +Eventually, we isolated the issue to our async http backend -- httpx and httpcore. We originally decided to use httpx for the async http backend in Gym because the OpenAI client uses it by default so we can share the same backend http client. Unfortunately, the httpcore connection pool subroutine for pooling connections over requests is O(n^2) where n is the number of queued requests. + +Networking mental model: +1. A request is sent by Gym to the model endpoint server. +2. This request requires a connection from our client side to the server side. + 1. This connection is a socket (identified by a port) and a socket is an open file (managed by the operating system). + 2. If we are sending 100 requests, in the worst case we could open 100 connections == 100 open files. This quickly becomes very expensive. + 3. So, async http backends will pool requests across connections to a single endpoint, where multiple requests can leverage the same file if they are going to the same endpoint origin. + 4. This is called connection pooling. And it's possible that all 100 requests share a single connection. +3. But this connection pooling now needs some management logic. When the client sends a new request, it needs to determine if that request can reuse an existing connection. + 1. And this is where the httpcore connection pool logic is very inefficient. + +Here are the key calls in the stack trace: +1. OpenAI client at some point calls httpx client +2. httpx client calls into the transport [here](https://github.com/encode/httpx/blob/4b23574cf83307ce27d3b14b4a425dc58c57d28d/httpx/_client.py#L1014) +3. Transport calls into httpcore connection pool [here](https://github.com/encode/httpx/blob/4b23574cf83307ce27d3b14b4a425dc58c57d28d/httpx/_transports/default.py#L250) +4. For each request, the httpcore connection pool calls this `_assign_requests_to_connections` subroutine [here](https://github.com/encode/httpcore/blob/5974b03c7df89d3ee4e23779900d5349d550753c/httpcore/_async/connection_pool.py#L228) + 1. This subroutine loops through connections [here](https://github.com/encode/httpcore/blob/5974b03c7df89d3ee4e23779900d5349d550753c/httpcore/_async/connection_pool.py#L284) + 2. and loops through queued requests [here](https://github.com/encode/httpcore/blob/5974b03c7df89d3ee4e23779900d5349d550753c/httpcore/_async/connection_pool.py#L303) + 3. Which results in a total of O(n^2) runtime if the number of queued requests is large. Which is always the case if we slam with some larger number of requests. + +In the end, we decided to swap our http backend from httpx to aiohttp since we had good prior experience working with aiohttp in production infra. + +Here are some Github issues related to this problem. They didn't help too much, but they did validate our solution (kind of) to use aiohttp as as async http backend instead. +- https://github.com/openai/openai-python/issues/1596 +- https://github.com/encode/httpx/issues/3215#issuecomment-2220795088 + +If you are using AsyncOpenAI client with a parallelism > 32, you may also want to check if this kind of inefficiency also affects your setup. diff --git a/nemo_gym/cli.py b/nemo_gym/cli.py index 016b92157..42864da3b 100644 --- a/nemo_gym/cli.py +++ b/nemo_gym/cli.py @@ -223,6 +223,7 @@ def wait_for_spinup(self) -> None: sleep(sleep_interval) def shutdown(self) -> None: + # TODO there is possibly a better way to handle the server shutdowns. for process_name, process in self._processes.items(): print(f"Killing `{process_name}`") process.kill() @@ -243,10 +244,6 @@ async def sleep(): # Indefinitely while True: self.poll() - - statuses = self.check_http_server_statuses() - assert statuses.count("success") == len(statuses), "Found non-success statuses" - await asyncio.sleep(60) try: diff --git a/nemo_gym/openai_utils.py b/nemo_gym/openai_utils.py index 09de3d937..4ba19d00f 100644 --- a/nemo_gym/openai_utils.py +++ b/nemo_gym/openai_utils.py @@ -21,7 +21,6 @@ Union, ) -from openai import AsyncOpenAI from openai.types.chat import ( ChatCompletion, ChatCompletionAssistantMessageParam, @@ -75,7 +74,7 @@ from pydantic import BaseModel, ConfigDict, Field from typing_extensions import TypedDict -from nemo_gym.server_utils import get_global_httpx_client +from nemo_gym.server_utils import request ######################################## @@ -420,11 +419,36 @@ class NeMoGymChatCompletionCreateParamsNonStreaming(BaseModel): ######################################## -class NeMoGymAsyncOpenAI(AsyncOpenAI): - def __init__(self, **kwargs) -> None: - # TODO: this setup is take from https://github.com/NVIDIA/NeMo-Skills/blob/80dc78ac758c4cac81c83a43a729e7ca1280857b/nemo_skills/inference/model/base.py#L318 - # However, there may still be a lingering issue regarding saturating at 100 max connections - kwargs["http_client"] = get_global_httpx_client(kwargs["base_url"]) - kwargs["timeout"] = None # Enforce no timeout - - super().__init__(**kwargs) +class NeMoGymAsyncOpenAI(BaseModel): + """This is just a stub class that wraps around aiohttp""" + + base_url: str + api_key: str + + async def create_chat_completion(self, **kwargs): + response = await request( + method="POST", + url=f"{self.base_url}/chat/completions", + json=kwargs, + headers={"Authorization": f"Bearer {self.api_key}"}, + ) + return await response.json() + + async def create_response(self, **kwargs): + response = await request( + method="POST", + url=f"{self.base_url}/responses", + json=kwargs, + headers={"Authorization": f"Bearer {self.api_key}"}, + ) + return await response.json() + + async def create_tokenize(self, **kwargs): + base_url = self.base_url.removesuffix("/v1") + response = await request( + method="POST", + url=f"{base_url}/tokenize", + json=kwargs, + headers={"Authorization": f"Bearer {self.api_key}"}, + ) + return await response.json() diff --git a/nemo_gym/rollout_collection.py b/nemo_gym/rollout_collection.py index 09cc7895b..d4658c094 100644 --- a/nemo_gym/rollout_collection.py +++ b/nemo_gym/rollout_collection.py @@ -17,12 +17,19 @@ from collections import Counter from contextlib import nullcontext from itertools import chain, repeat -from typing import Optional +from typing import Dict, List, Optional from pydantic import BaseModel from tqdm.asyncio import tqdm -from nemo_gym.server_utils import ServerClient, get_global_config_dict +from nemo_gym.config_types import BaseServerConfig +from nemo_gym.server_utils import ( + GlobalAIOHTTPAsyncClientConfig, + ServerClient, + get_global_config_dict, + is_global_aiohttp_client_setup, + set_global_aiohttp_client, +) class RolloutCollectionConfig(BaseModel): @@ -34,46 +41,69 @@ class RolloutCollectionConfig(BaseModel): num_samples_in_parallel: Optional[int] = None -async def _collect_rollouts(config: RolloutCollectionConfig): # pragma: no cover - with open(config.input_jsonl_fpath) as input_dataset: - rows = list(map(json.loads, input_dataset)) - print(f"Found {len(rows)} rows!") +class RolloutCollectionHelper(BaseModel): # pragma: no cover + async def run_from_config(self, config: RolloutCollectionConfig): + with open(config.input_jsonl_fpath) as input_dataset: + rows = list(map(json.loads, input_dataset)) + print(f"Found {len(rows)} rows!") - if config.limit: - previous_length = len(rows) - rows = rows[: config.limit] - print(f"Limiting rows from {previous_length} to {len(rows)}!") + if config.limit: + previous_length = len(rows) + rows = rows[: config.limit] + print(f"Limiting rows from {previous_length} to {len(rows)}!") - if config.num_repeats: - previous_length = len(rows) - rows = list(chain.from_iterable(repeat(row, config.num_repeats) for row in rows)) - print(f"Repeating rows (in a pattern of abc to aabbcc) from {previous_length} to {len(rows)}!") + if config.num_repeats: + previous_length = len(rows) + rows = list(chain.from_iterable(repeat(row, config.num_repeats) for row in rows)) + print(f"Repeating rows (in a pattern of abc to aabbcc) from {previous_length} to {len(rows)}!") - server_client = ServerClient.load_from_global_config() + semaphore = nullcontext() + if config.num_samples_in_parallel: + semaphore = Semaphore(config.num_samples_in_parallel) - semaphore = nullcontext() - if config.num_samples_in_parallel: - semaphore = Semaphore(config.num_samples_in_parallel) + server_client = self.setup_server_client() - async def _post_coroutine(row: dict): - async with semaphore: - return await server_client.post(server_name=config.agent_name, url_path="/run", json=row) + metrics = Counter() + with open(config.output_jsonl_fpath, "a") as f: - tasks = list(map(_post_coroutine, rows)) + async def _post_coroutine(row: dict) -> None: + async with semaphore: + response = await server_client.post(server_name=config.agent_name, url_path="/run", json=row) + result = await response.json() + f.write(json.dumps(result) + "\n") + metrics.update({k: v for k, v in result.items() if isinstance(v, (int, float))}) - metrics = Counter() - pbar = tqdm.as_completed(tasks, desc="Collecting rollouts") - with open(config.output_jsonl_fpath, "a") as f: - for future in pbar: - result = await future - result = result.json() - f.write(json.dumps(result) + "\n") - metrics += Counter({k: v for k, v in result.items() if isinstance(v, (int, float))}) + await tqdm.gather(*map(_post_coroutine, rows), desc="Collecting rollouts") - avg_metrics = {k: v / len(tasks) for k, v in metrics.items()} - print(json.dumps(avg_metrics, indent=4)) + avg_metrics = {k: v / len(rows) for k, v in metrics.items()} + + print(json.dumps(avg_metrics, indent=4)) + + async def run_examples( + self, examples: List[Dict], head_server_config: Optional[BaseServerConfig] = None + ) -> List[Dict]: + server_client = self.setup_server_client(head_server_config) + + async def _post_subroutine(row: Dict) -> Dict: + res = await server_client.post(server_name=row.pop("agent_ref")["name"], url_path="/run", json=row) + return await res.json() + + return await tqdm.gather(*map(_post_subroutine, examples), desc="Collecting rollouts") + + def setup_server_client(self, head_server_config: Optional[BaseServerConfig] = None) -> ServerClient: + server_client = ServerClient.load_from_global_config(head_server_config) + + # We set this rollout global aiohttp client to use the same max connections as the underlying head server global config. + if not is_global_aiohttp_client_setup(): + set_global_aiohttp_client( + cfg=GlobalAIOHTTPAsyncClientConfig.model_validate(server_client.global_config_dict) + ) + + return server_client def collect_rollouts(): # pragma: no cover config = RolloutCollectionConfig.model_validate(get_global_config_dict()) - asyncio.run(_collect_rollouts(config)) + rch = RolloutCollectionHelper() + + asyncio.run(rch.run_from_config(config)) diff --git a/nemo_gym/server_utils.py b/nemo_gym/server_utils.py index 7ee202d53..55c57b9a3 100644 --- a/nemo_gym/server_utils.py +++ b/nemo_gym/server_utils.py @@ -11,25 +11,22 @@ # 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 asyncio +import atexit import json from abc import abstractmethod +from logging import Filter as LoggingFilter +from logging import LogRecord, getLogger from os import getenv from threading import Thread -from typing import Any, Dict, Literal, Optional, Tuple, Type, Union +from typing import Literal, Optional, Tuple, Type, Union, Unpack from uuid import uuid4 import requests import uvicorn +from aiohttp import ClientResponse, ClientSession, ClientTimeout, DummyCookieJar, ServerDisconnectedError, TCPConnector +from aiohttp.client import _RequestOptions from fastapi import FastAPI, Request, Response -from httpx import AsyncClient, AsyncHTTPTransport, Cookies, Limits, Response -from httpx._types import ( - CookieTypes, - HeaderTypes, - QueryParamTypes, - RequestContent, - RequestData, - RequestFiles, -) from omegaconf import DictConfig, OmegaConf from pydantic import BaseModel, ConfigDict from requests.exceptions import ConnectionError @@ -49,67 +46,92 @@ ) -class NeMoGymStatelessCookies(Cookies): - def extract_cookies(self, response): - pass - - -class NeMoGymGlobalAsyncClient(AsyncClient): - def __init__(self, *args, **kwargs) -> None: - super().__init__(*args, **kwargs) - - self._cookies = NeMoGymStatelessCookies(self._cookies) - +_GLOBAL_AIOHTTP_CLIENT: Union[None, ClientSession] = None -# We create a single global httpx client as recommended by https://www.python-httpx.org/async/ -# ``` -# In order to get the most benefit from connection pooling, make sure you're not instantiating multiple client instances - for example by using async with inside a "hot loop". This can be achieved either by having a single scoped client that's passed throughout wherever it's needed, or by having a single global client instance. -# ``` -# In plain language: -# - Let's say we have 10 distinct endpoints we want to call 5 times each. -# - A connection pool as defined by the httpx client is for a single distinct endpoint. All requests to that endpoint should use the same httpx client. -# - So the optimal configuration here is to have 10 total httpx clients, one for each distinct endpoint. -# - Additionally, since the connections are pooled, if we had a single global client for all 10 distinct endpoints, we may run into deadlock situations, -# where requests to two different endpoints are waiting for each other to resolve. -# -# In principle, we use no timeout since various api or model calls may take an indefinite amount of time. Right now, we have no timeout, even for connection errors which may be problematic. We may want to revisit more granular httpx.Timeout later on. -# -# Eventually, we may also want to parameterize the max connections. For now, we set the max connections to just some very large number. -# -# It's critical that this client is NOT used before uvicorn.run is called. Under the hood, this async client will start and use an event loop, and store a handle to that specific event loop. When uvicorn.run is called, it will replace the event loop policy with its own. So the handle that the async client has is now outdated. -_GLOBAL_HTTPX_CLIENTS: Dict[str, NeMoGymGlobalAsyncClient] = dict() +class GlobalAIOHTTPAsyncClientConfig(BaseModel): + global_aiohttp_connector_limit: int = 1000 + global_aiohttp_connector_limit_per_host: int = 100 -class GlobalHTTPXAsyncClientConfig(BaseModel): - global_httpx_max_connections: int = 1500 - global_httpx_max_retries: int = 3 - -def get_global_httpx_client( - base_url: str, +def get_global_aiohttp_client( global_config_dict_parser_config: Optional[GlobalConfigDictParserConfig] = None, global_config_dict_parser_cls: Type[GlobalConfigDictParser] = GlobalConfigDictParser, -) -> NeMoGymGlobalAsyncClient: - if base_url in _GLOBAL_HTTPX_CLIENTS: - return _GLOBAL_HTTPX_CLIENTS[base_url] +) -> ClientSession: + global _GLOBAL_AIOHTTP_CLIENT + + if _GLOBAL_AIOHTTP_CLIENT is not None: + return _GLOBAL_AIOHTTP_CLIENT global_config_dict = get_global_config_dict( global_config_dict_parser_config=global_config_dict_parser_config, global_config_dict_parser_cls=global_config_dict_parser_cls, ) - cfg = GlobalHTTPXAsyncClientConfig.model_validate(global_config_dict) - client = NeMoGymGlobalAsyncClient( - limits=Limits( - max_keepalive_connections=cfg.global_httpx_max_connections, - max_connections=cfg.global_httpx_max_connections, + cfg = GlobalAIOHTTPAsyncClientConfig.model_validate(global_config_dict) + + return set_global_aiohttp_client(cfg) + + +def set_global_aiohttp_client(cfg: GlobalAIOHTTPAsyncClientConfig) -> ClientSession: + assert not is_global_aiohttp_client_setup(), ( + "There is already a global aiohttp client setup. Please refactor your code or call `global_aiohttp_client_exit` if you want to explicitly re-make the client!" + ) + + client_session = ClientSession( + connector=TCPConnector( + limit=cfg.global_aiohttp_connector_limit, + limit_per_host=cfg.global_aiohttp_connector_limit_per_host, ), - transport=AsyncHTTPTransport(retries=cfg.global_httpx_max_retries), - timeout=None, + timeout=ClientTimeout(), + cookie_jar=DummyCookieJar(), ) - _GLOBAL_HTTPX_CLIENTS[base_url] = client + global _GLOBAL_AIOHTTP_CLIENT + _GLOBAL_AIOHTTP_CLIENT = client_session + + return _GLOBAL_AIOHTTP_CLIENT + + +def is_global_aiohttp_client_setup() -> bool: + return _GLOBAL_AIOHTTP_CLIENT is not None + + +def global_aiohttp_client_exit(): + if not is_global_aiohttp_client_setup(): + return + + global _GLOBAL_AIOHTTP_CLIENT + asyncio.run(_GLOBAL_AIOHTTP_CLIENT.close()) + + _GLOBAL_AIOHTTP_CLIENT = None - return client + +atexit.register(global_aiohttp_client_exit) + + +# This is not intended to be changed. If you want to increase this, we should probably figure out how to improve server-side robustness. +MAX_NUM_TRIES = 3 + + +async def request(method: str, url: str, **kwargs: Unpack[_RequestOptions]) -> ClientResponse: + client = get_global_aiohttp_client() + num_tries = 1 + while True: + try: + return await client.request(method=method, url=url, **kwargs) + except ServerDisconnectedError: + await asyncio.sleep(0.5) + except Exception as e: + print( + f"""Hit an exception while making a request (try {num_tries}): {e} +Sleeping 0.5s and retrying... +""" + ) + if num_tries >= MAX_NUM_TRIES: + raise e + + num_tries += 1 + await asyncio.sleep(0.5) DEFAULT_HEAD_SERVER_PORT = 11000 @@ -155,18 +177,26 @@ def load_from_global_config(cls, head_server_config: Optional[BaseServerConfig] def _build_server_base_url(self, server_config_dict: OmegaConf) -> str: return f"http://{server_config_dict.host}:{server_config_dict.port}" + async def request( + self, server_name: str, url_path: str, method: str, **kwargs: Unpack[_RequestOptions] + ) -> ClientResponse: + server_config_dict = get_first_server_config_dict(self.global_config_dict, server_name) + base_url = self._build_server_base_url(server_config_dict) + + if "json" in kwargs: + json_obj = kwargs["json"] + if isinstance(json_obj, BaseModel): + kwargs["json"] = json_obj.model_dump(exclude_unset=True) + + return await request(method=method, url=f"{base_url}{url_path}", **kwargs) + async def get( self, server_name: str, url_path: str, - params: QueryParamTypes | None = None, - headers: HeaderTypes | None = None, - cookies: CookieTypes | None = None, - **kwargs, - ) -> Response: + **kwargs: Unpack[_RequestOptions], + ) -> ClientResponse: """ - This function definition is directly copied from httpx._client.AsyncClient. We omit some kwargs since they are most likely not used. We omit the url arg and replace it with the `server_name` and `url_path` args below. - Args: server_name: str The name of the server you are trying to call. @@ -174,13 +204,10 @@ async def get( The URL path in the server you are trying to call e.g. "/v1/responses". """ - server_config_dict = get_first_server_config_dict(self.global_config_dict, server_name) - base_url = self._build_server_base_url(server_config_dict) - return await get_global_httpx_client(base_url).get( - f"{base_url}{url_path}", - params=params, - headers=headers, - cookies=cookies, + return await self.request( + server_name=server_name, + url_path=url_path, + method="GET", **kwargs, ) @@ -188,18 +215,9 @@ async def post( self, server_name: str, url_path: str, - content: RequestContent | None = None, - data: RequestData | None = None, - files: RequestFiles | None = None, - json: Any | BaseModel | None = None, - params: QueryParamTypes | None = None, - headers: HeaderTypes | None = None, - cookies: CookieTypes | None = None, - **kwargs, - ) -> Response: + **kwargs: Unpack[_RequestOptions], + ) -> ClientResponse: """ - This function definition is directly copied from httpx._client.AsyncClient. We omit some kwargs since they are most likely not used. We omit the url arg and replace it with the `server_name` and `url_path` args below. - Args: server_name: str The name of the server you are trying to call. @@ -207,17 +225,10 @@ async def post( The URL path in the server you are trying to call e.g. "/v1/responses". """ - server_config_dict = get_first_server_config_dict(self.global_config_dict, server_name) - base_url = self._build_server_base_url(server_config_dict) - return await get_global_httpx_client(base_url).post( - f"{base_url}{url_path}", - content=content, - data=data, - files=files, - json=json.model_dump(exclude_unset=True) if isinstance(json, BaseModel) else json, - params=params, - headers=headers, - cookies=cookies, + return await self.request( + server_name=server_name, + url_path=url_path, + method="POST", **kwargs, ) @@ -305,13 +316,22 @@ def run_webserver(cls) -> None: # pragma: no cover app = server.setup_webserver() + class No200Filter(LoggingFilter): + def filter(self, record: LogRecord) -> bool: + msg = record.getMessage() + return not msg.strip().endswith("200") + + uvicorn_logger = getLogger("uvicorn.access") + uvicorn_logger.addFilter(No200Filter()) + + print( + "Adding a uvicorn logging filter so that the logs aren't spammed with 200 OK messages. This is to help errors pop up better and filter out noise." + ) + uvicorn.run( app, host=server.config.host, port=server.config.port, - # TODO eventually we want to make this FastAPI server served across multiple processes or workers. - # Right now this will always use one process. - # workers=server.config.num_fastapi_workers, # We don't have any explicit lifespan logic, so instead of defaulting to "auto" # We just turn lifespan off lifespan="off", diff --git a/pyproject.toml b/pyproject.toml index 449c0ebb7..caaa05874 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -126,6 +126,11 @@ dependencies = [ # Updated Wed Sep 17, 2025 with tdigest==0.5.2.2 # License: MIT https://github.com/CamDavidsonPilon/tdigest/blob/e35cfd708962ae5e9d1c5d2b15a99af7b2e2f323/LICENSE.txt "tdigest>=0.5.2.2", + + # aiohttp: async http backend + # Updated Sun Sep 21, 2025 with aiohttp==3.12.15 + # License: Apache 2.0 https://github.com/aio-libs/aiohttp/blob/9a2f146a12e3525b43e96723ef41584bf9cf784e/LICENSE.txt + "aiohttp", ] [dependency-groups] diff --git a/resources_servers/equivalence_llm_judge/app.py b/resources_servers/equivalence_llm_judge/app.py index 810151798..8610c517e 100644 --- a/resources_servers/equivalence_llm_judge/app.py +++ b/resources_servers/equivalence_llm_judge/app.py @@ -288,7 +288,7 @@ async def _generate_judge_evaluation( url_path="/v1/responses", json=responses_create_params, ) - judge_response = NeMoGymResponse.model_validate(response.json()) + judge_response = NeMoGymResponse.model_validate(await response.json()) eval_record = JudgeEvaluation( responses_create_params=responses_create_params, response=judge_response, diff --git a/resources_servers/equivalence_llm_judge/tests/test_app.py b/resources_servers/equivalence_llm_judge/tests/test_app.py index ccc10db63..5d3cfc40e 100644 --- a/resources_servers/equivalence_llm_judge/tests/test_app.py +++ b/resources_servers/equivalence_llm_judge/tests/test_app.py @@ -85,7 +85,7 @@ async def test_verify_equal_then_confirm(self, config: LLMJudgeResourcesServerCo # First: judge says equal; Second: judge says equal => reward 1 post_mock = MagicMock() - post_mock.json = MagicMock() + post_mock.json = AsyncMock() server_mock.post = AsyncMock(return_value=post_mock) # Only the first call is used when check_twice_swap is False @@ -121,7 +121,7 @@ async def test_verify_equal_then_confirm(self, config: LLMJudgeResourcesServerCo rs_twice = LLMJudgeResourcesServer(config=config_twice, server_client=server_mock) post_mock2 = MagicMock() - post_mock2.json = MagicMock() + post_mock2.json = AsyncMock() server_mock.post = AsyncMock(return_value=post_mock2) post_mock2.json.side_effect = [ self._create_response("first", self._msg("[[A=B]]")), @@ -141,7 +141,7 @@ async def test_verify_not_equal_first(self, config: LLMJudgeResourcesServerConfi rs = LLMJudgeResourcesServer(config=config, server_client=server_mock) post_mock = MagicMock() - post_mock.json = MagicMock(return_value=self._create_response("f", self._msg("[[A!=B]]"))) + post_mock.json = AsyncMock(return_value=self._create_response("f", self._msg("[[A!=B]]"))) server_mock.post = AsyncMock(return_value=post_mock) model_create_params = NeMoGymResponseCreateParamsNonStreaming(input=[{"role": "user", "content": "Q: 1+1?"}]) @@ -170,7 +170,7 @@ async def test_unexpected_judge_output_defaults_to_not_equal(self, config: LLMJu rs = LLMJudgeResourcesServer(config=config, server_client=server_mock) post_mock = MagicMock() - post_mock.json = MagicMock(return_value=self._create_response("f", self._msg("no label present"))) + post_mock.json = AsyncMock(return_value=self._create_response("f", self._msg("no label present"))) server_mock.post = AsyncMock(return_value=post_mock) req = LLMJudgeVerifyRequest( @@ -198,7 +198,7 @@ async def test_swap_fails_uses_configured_reward(self, config: LLMJudgeResources rs = LLMJudgeResourcesServer(config=cfg, server_client=server_mock) post_mock = MagicMock() - post_mock.json = MagicMock() + post_mock.json = AsyncMock() server_mock.post = AsyncMock(return_value=post_mock) # First pass equal, second pass not equal -> use configured -1.0 post_mock.json.side_effect = [ diff --git a/resources_servers/google_search/client.py b/resources_servers/google_search/client.py index a81534ea8..5bc4dc6f4 100644 --- a/resources_servers/google_search/client.py +++ b/resources_servers/google_search/client.py @@ -68,4 +68,4 @@ ), ) result = run(task) -print(json.dumps(result.json(), indent=4)) +print(json.dumps(run(result.json()), indent=4)) diff --git a/resources_servers/library_judge_math/app.py b/resources_servers/library_judge_math/app.py index c7a7a21a2..941f59131 100644 --- a/resources_servers/library_judge_math/app.py +++ b/resources_servers/library_judge_math/app.py @@ -252,7 +252,7 @@ async def _generate_judge_evaluation( url_path="/v1/responses", json=responses_create_params, ) - judge_response = NeMoGymResponse.model_validate(response.json()) + judge_response = NeMoGymResponse.model_validate(await response.json()) judge_evaluation = JudgeEvaluation(responses_create_params=responses_create_params, response=judge_response) # Currently, for all the cases in which the response from the LLM judge diff --git a/resources_servers/library_judge_math/client.py b/resources_servers/library_judge_math/client.py index d551b41c7..90f7a0531 100644 --- a/resources_servers/library_judge_math/client.py +++ b/resources_servers/library_judge_math/client.py @@ -59,4 +59,4 @@ }, ) result = asyncio.run(task) -print(json.dumps(result.json(), indent=4)) +print(json.dumps(asyncio.run(result.json()), indent=4)) diff --git a/resources_servers/library_judge_math/tests/test_app.py b/resources_servers/library_judge_math/tests/test_app.py index 53523ff44..f8a6afe65 100644 --- a/resources_servers/library_judge_math/tests/test_app.py +++ b/resources_servers/library_judge_math/tests/test_app.py @@ -116,7 +116,7 @@ def _create_response_output_message(self, message_text: str) -> NeMoGymResponseO async def test_verify(self, config: LibraryJudgeMathResourcesServerConfig) -> None: server_mock = MagicMock(spec=ServerClient) resources_server = LibraryJudgeMathResourcesServer(config=config, server_client=server_mock) - response_mock = MagicMock() + response_mock = AsyncMock() post_mock = MagicMock() post_mock.json = response_mock server_mock.post = AsyncMock(return_value=post_mock) @@ -213,7 +213,7 @@ async def test_verify(self, config: LibraryJudgeMathResourcesServerConfig) -> No async def test_verify_answer(self, config: LibraryJudgeMathResourcesServerConfig) -> None: server_mock = MagicMock(spec=ServerClient) resources_server = LibraryJudgeMathResourcesServer(config=config, server_client=server_mock) - response_mock = MagicMock() + response_mock = AsyncMock() post_mock = MagicMock() post_mock.json = response_mock server_mock.post = AsyncMock(return_value=post_mock) @@ -345,7 +345,7 @@ def test_verify_answer_with_library(self, config: LibraryJudgeMathResourcesServe async def test_verify_answer_with_judge(self, config: LibraryJudgeMathResourcesServerConfig) -> None: server_mock = MagicMock(spec=ServerClient) resources_server = LibraryJudgeMathResourcesServer(config=config, server_client=server_mock) - response_mock = MagicMock() + response_mock = AsyncMock() post_mock = MagicMock() post_mock.json = response_mock server_mock.post = AsyncMock(return_value=post_mock) @@ -486,7 +486,7 @@ async def test_generate_judge_evaluation(self, config: LibraryJudgeMathResources judge_config.judge_responses_create_params.max_output_tokens = 1024 server_mock = MagicMock(spec=ServerClient) resources_server = LibraryJudgeMathResourcesServer(config=judge_config, server_client=server_mock) - response_mock = MagicMock() + response_mock = AsyncMock() post_mock = MagicMock() post_mock.json = response_mock server_mock.post = AsyncMock(return_value=post_mock) diff --git a/resources_servers/multiverse_math_hard/client.py b/resources_servers/multiverse_math_hard/client.py index 803abdd83..89d281d0d 100644 --- a/resources_servers/multiverse_math_hard/client.py +++ b/resources_servers/multiverse_math_hard/client.py @@ -27,4 +27,4 @@ }, ) result = run(task) -print(json.dumps(result.json(), indent=4)) +print(json.dumps(run(result.json()), indent=4)) diff --git a/resources_servers/python_math_exec/client.py b/resources_servers/python_math_exec/client.py index 5db309e3b..295216064 100644 --- a/resources_servers/python_math_exec/client.py +++ b/resources_servers/python_math_exec/client.py @@ -30,4 +30,4 @@ }, ) result = run(task) -print(json.dumps(result.json(), indent=4)) +print(json.dumps(run(result.json()), indent=4)) diff --git a/resources_servers/simple_weather/client.py b/resources_servers/simple_weather/client.py index 684cd4893..a50b57cc9 100644 --- a/resources_servers/simple_weather/client.py +++ b/resources_servers/simple_weather/client.py @@ -26,4 +26,4 @@ }, ) result = run(task) -print(json.dumps(result.json(), indent=4)) +print(json.dumps(run(result.json()), indent=4)) diff --git a/resources_servers/stateful_counter/client.py b/resources_servers/stateful_counter/client.py index ab107b691..104473501 100644 --- a/resources_servers/stateful_counter/client.py +++ b/resources_servers/stateful_counter/client.py @@ -63,4 +63,4 @@ }, ) result = run(task) -print(json.dumps(result.json(), indent=4)) +print(json.dumps(run(result.json()), indent=4)) diff --git a/resources_servers/stateful_counter/tests/test_app.py b/resources_servers/stateful_counter/tests/test_app.py index 8f18111f8..124069b37 100644 --- a/resources_servers/stateful_counter/tests/test_app.py +++ b/resources_servers/stateful_counter/tests/test_app.py @@ -14,8 +14,9 @@ from unittest.mock import MagicMock from fastapi.testclient import TestClient +from httpx import Cookies -from nemo_gym.server_utils import NeMoGymStatelessCookies, ServerClient +from nemo_gym.server_utils import ServerClient from resources_servers.stateful_counter.app import StatefulCounterResourcesServer, StatefulCounterResourcesServerConfig @@ -32,8 +33,11 @@ def test_sanity(self) -> None: app = server.setup_webserver() client = TestClient(app) - # This is the same override as in NeMoGymGlobalAsyncClient - client._cookies = NeMoGymStatelessCookies(client._cookies) + class StatelessCookies(Cookies): + def extract_cookies(self, response): + pass + + client._cookies = StatelessCookies(client._cookies) # Check that we are at 0 response = client.post("/get_counter_value") diff --git a/resources_servers/workbench/client.py b/resources_servers/workbench/client.py index 2da2dcb80..43d3d61bc 100644 --- a/resources_servers/workbench/client.py +++ b/resources_servers/workbench/client.py @@ -27,4 +27,4 @@ }, ) result = run(task) -print(json.dumps(result.json(), indent=4)) +print(json.dumps(run(result.json()), indent=4)) diff --git a/responses_api_agents/simple_agent/app.py b/responses_api_agents/simple_agent/app.py index 028e3bb24..102860af1 100644 --- a/responses_api_agents/simple_agent/app.py +++ b/responses_api_agents/simple_agent/app.py @@ -85,7 +85,7 @@ async def responses( json=new_body, cookies=model_server_cookies, ) - model_response_json = model_response.json() + model_response_json = await model_response.json() model_server_cookies = model_response.cookies try: model_response = NeMoGymResponse.model_validate(model_response_json) @@ -116,7 +116,7 @@ async def responses( tool_response = NeMoGymFunctionCallOutput( type="function_call_output", call_id=output_function_call.call_id, - output=api_response.content.decode(), + output=(await api_response.content.read()).decode(), ) new_outputs.append(tool_response) @@ -150,7 +150,9 @@ async def run(self, request: Request, body: SimpleAgentRunRequest) -> SimpleAgen ) cookies = response.cookies - verify_request = SimpleAgentVerifyRequest.model_validate(body.model_dump() | {"response": response.json()}) + verify_request = SimpleAgentVerifyRequest.model_validate( + body.model_dump() | {"response": await response.json()} + ) verify_response = await self.server_client.post( server_name=self.config.resources_server.name, @@ -158,7 +160,7 @@ async def run(self, request: Request, body: SimpleAgentRunRequest) -> SimpleAgen json=verify_request.model_dump(), cookies=cookies, ) - return SimpleAgentVerifyResponse.model_validate(verify_response.json()) + return SimpleAgentVerifyResponse.model_validate(await verify_response.json()) if __name__ == "__main__": diff --git a/responses_api_agents/simple_agent/client.py b/responses_api_agents/simple_agent/client.py index 1d95705e2..29c0234bc 100644 --- a/responses_api_agents/simple_agent/client.py +++ b/responses_api_agents/simple_agent/client.py @@ -52,4 +52,4 @@ ), ) result = run(task) -print(json.dumps(result.json()["output"], indent=4)) +print(json.dumps(run(result.json())["output"], indent=4)) diff --git a/responses_api_agents/simple_agent/tests/test_app.py b/responses_api_agents/simple_agent/tests/test_app.py index daaa0c299..5c8694619 100644 --- a/responses_api_agents/simple_agent/tests/test_app.py +++ b/responses_api_agents/simple_agent/tests/test_app.py @@ -11,7 +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. -from unittest.mock import MagicMock, call +from unittest.mock import AsyncMock, MagicMock, call from fastapi.testclient import TestClient from pytest import MonkeyPatch @@ -93,8 +93,9 @@ async def test_responses(self, monkeypatch: MonkeyPatch) -> None: "tools": [], } - dotjson_mock = MagicMock() + dotjson_mock = AsyncMock() dotjson_mock.json.return_value = mock_response_data + dotjson_mock.cookies = MagicMock() server.server_client.post.return_value = dotjson_mock # No model provided should use the one from the config @@ -223,8 +224,9 @@ async def test_responses_continues_on_reasoning_only(self, monkeypatch: MonkeyPa "tools": [], } - dotjson_mock = MagicMock() + dotjson_mock = AsyncMock() dotjson_mock.json.side_effect = [mock_response_reasoning_data, mock_response_chat_data] + dotjson_mock.cookies = MagicMock() server.server_client.post.return_value = dotjson_mock # No model provided should use the one from the config diff --git a/responses_api_models/openai_model/app.py b/responses_api_models/openai_model/app.py index 25bbe36c0..11c3c2f8a 100644 --- a/responses_api_models/openai_model/app.py +++ b/responses_api_models/openai_model/app.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. + from nemo_gym.base_responses_api_model import ( BaseResponsesAPIModelConfig, Body, @@ -39,21 +40,22 @@ def model_post_init(self, context): base_url=self.config.openai_base_url, api_key=self.config.openai_api_key, ) + return super().model_post_init(context) async def responses(self, body: NeMoGymResponseCreateParamsNonStreaming = Body()) -> NeMoGymResponse: body_dict = body.model_dump(exclude_unset=True) body_dict.setdefault("model", self.config.openai_model) - openai_response = await self._client.responses.create(**body_dict) - return NeMoGymResponse(**openai_response.model_dump()) + openai_response_dict = await self._client.create_response(**body_dict) + return NeMoGymResponse.model_validate(openai_response_dict) async def chat_completions( self, body: NeMoGymChatCompletionCreateParamsNonStreaming = Body() ) -> NeMoGymChatCompletion: body_dict = body.model_dump(exclude_unset=True) body_dict.setdefault("model", self.config.openai_model) - openai_response = await self._client.chat.completions.create(**body_dict) - return NeMoGymChatCompletion(**openai_response.model_dump()) + openai_response_dict = await self._client.create_chat_completion(**body_dict) + return NeMoGymChatCompletion.model_validate(openai_response_dict) if __name__ == "__main__": diff --git a/responses_api_models/openai_model/client.py b/responses_api_models/openai_model/client.py index d88cf7071..dd107ee20 100644 --- a/responses_api_models/openai_model/client.py +++ b/responses_api_models/openai_model/client.py @@ -32,8 +32,8 @@ async def main(): "messages": [{"role": "user", "content": "hello"}], }, ) - print(task_1.json()) - print(task_2.json()) + print(await task_1.json()) + print(await task_2.json()) if __name__ == "__main__": diff --git a/responses_api_models/openai_model/tests/test_app.py b/responses_api_models/openai_model/tests/test_app.py index ee97042ba..7a3922786 100644 --- a/responses_api_models/openai_model/tests/test_app.py +++ b/responses_api_models/openai_model/tests/test_app.py @@ -16,9 +16,9 @@ from fastapi.testclient import TestClient from pytest import MonkeyPatch -from nemo_gym.openai_utils import NeMoGymChatCompletion, NeMoGymResponse from nemo_gym.server_utils import ServerClient from responses_api_models.openai_model.app import ( + NeMoGymAsyncOpenAI, SimpleModelServer, SimpleModelServerConfig, ) @@ -67,11 +67,10 @@ async def test_chat_completions(self, monkeypatch: MonkeyPatch) -> None: async def mock_create_chat(**kwargs): nonlocal called_args_chat called_args_chat = kwargs - return NeMoGymChatCompletion(**mock_chat_data) + return mock_chat_data - mock_chat = AsyncMock(side_effect=mock_create_chat) - - monkeypatch.setattr(server._client.chat.completions, "create", mock_chat) + server._client = MagicMock(spec=NeMoGymAsyncOpenAI) + server._client.create_chat_completion = AsyncMock(side_effect=mock_create_chat) chat_no_model = client.post( "/v1/chat/completions", @@ -90,7 +89,7 @@ async def mock_create_chat(**kwargs): assert chat_with_model.status_code == 200 assert called_args_chat.get("model") == "override_model" - mock_chat.assert_any_await( + server._client.create_chat_completion.assert_any_await( messages=[{"role": "user", "content": "hi"}], model="override_model", ) @@ -127,14 +126,13 @@ async def test_responses(self, monkeypatch: MonkeyPatch) -> None: called_args_response = {} - async def mock_create_responses(**kwargs): + async def mock_create_response(**kwargs): nonlocal called_args_response called_args_response = kwargs - return NeMoGymResponse(**mock_response_data) - - mock_response = AsyncMock(side_effect=mock_create_responses) + return mock_response_data - monkeypatch.setattr(server._client.responses, "create", mock_response) + server._client = MagicMock(spec=NeMoGymAsyncOpenAI) + server._client.create_response = AsyncMock(side_effect=mock_create_response) # No model provided should use the one from the config res_no_model = client.post("/v1/responses", json={"input": "hello"}) @@ -146,4 +144,4 @@ async def mock_create_responses(**kwargs): assert res_with_model.status_code == 200 assert called_args_response.get("model") == "override_model" - mock_response.assert_any_await(input="hello", model="override_model") + server._client.create_response.assert_any_await(input="hello", model="override_model") diff --git a/responses_api_models/vllm_model/app.py b/responses_api_models/vllm_model/app.py index 15128222a..99f31daa1 100644 --- a/responses_api_models/vllm_model/app.py +++ b/responses_api_models/vllm_model/app.py @@ -17,7 +17,6 @@ from uuid import uuid4 from fastapi import Request -from openai import BaseModel as OpenAIBaseModel from pydantic import BaseModel, Field from nemo_gym.base_responses_api_model import ( @@ -67,16 +66,11 @@ def model_post_init(self, context): return super().model_post_init(context) -# This needs to be OpenAI BaseModel since it is casted to below by the OpenAI client. -class VLLMTokenizeResponse(OpenAIBaseModel): - tokens: List[int] - - class VLLMModel(SimpleResponsesAPIModel): config: VLLMModelConfig def model_post_init(self, context): - self._clients: List[NeMoGymAsyncOpenAI] = [ + self._clients = [ NeMoGymAsyncOpenAI( base_url=base_url, api_key=self.config.api_key, @@ -151,28 +145,30 @@ async def chat_completions( if self.config.return_token_id_information: create_params |= dict( logprobs=True, - # The extra body below is VLLM specific to get the generation log probs associated with generation token IDs. - extra_body={ - "return_tokens_as_token_ids": True, - }, + # Typically passed via OpenAI client extra_body. + return_tokens_as_token_ids=True, + # TODO add this when NeMo RL upgrades to vLLM 0.10.2 support for prompt token ids + # For prompt and generation token IDs + # return_token_ids=True, + # For prompt token IDs + # prompt_logprobs=0, ) - openai_response = await client.chat.completions.create(**create_params) - assert not getattr(openai_response.choices[0].message, "reasoning_content", None), ( + chat_completion_dict = await client.create_chat_completion(**create_params) + choice_dict = chat_completion_dict["choices"][0] + assert not choice_dict["message"].get("reasoning_content"), ( "Please do not use a reasoning parser in vLLM! There is one source of truth for handling data (including reasoning), which is NeMo Gym!" ) - openai_response: NeMoGymChatCompletion - - chat_completion_dict = openai_response.model_dump() if self.config.return_token_id_information: - log_probs = openai_response.choices[0].logprobs.content - generation_token_ids = [] - generation_log_probs = [] - for log_prob in log_probs: - # Looks like `"token_id:151667"` - generation_token_ids.append(int(log_prob.token.removeprefix("token_id:"))) - generation_log_probs.append(log_prob.logprob) + log_probs = choice_dict["logprobs"]["content"] + generation_log_probs = [log_prob["logprob"] for log_prob in log_probs] + + """ + START TODO remove this when NeMo RL upgrades to vLLM 0.10.2 support for prompt token ids + """ + # Looks like `"token_id:151667"` + generation_token_ids = [log_prob["token"].removeprefix("token_id:") for log_prob in log_probs] # The tokenize endpoint doesn't accept any sampling parameters # The only relevant params are model, messages, and tools. @@ -183,22 +179,30 @@ async def chat_completions( # The base url has /v1 at the end but vLLM's tokenize endpoint does not have v1, hence the .. # I can't believe the path is resolved correctly LOL - tokenize_response = await client.post( - "../tokenize", - cast_to=VLLMTokenizeResponse, - body=tokenize_body_dict, - ) + tokenize_response = await client.create_tokenize(**tokenize_body_dict) + """ + END + """ - message_dict = chat_completion_dict["choices"][0]["message"] + message_dict = choice_dict["message"] message_dict.update( dict( - prompt_token_ids=tokenize_response.tokens, + # TODO add this when NeMo RL upgrades to vLLM 0.10.2 support for prompt token ids + # prompt_token_ids=chat_completion_dict["prompt_token_ids"], + prompt_token_ids=tokenize_response["tokens"], + # generation_token_ids=choice_dict["token_ids"], generation_token_ids=generation_token_ids, generation_log_probs=generation_log_probs, ) ) - return NeMoGymChatCompletion(**chat_completion_dict) + # Clean the duplicated information + choice_dict.pop("logprobs") + # TODO add this when NeMo RL upgrades to vLLM 0.10.2 support for prompt token ids + # chat_completion_dict.pop("prompt_token_ids") + # choice_dict.pop("token_ids") + + return NeMoGymChatCompletion.model_validate(chat_completion_dict) class VLLMConverterResponsesToChatCompletionsState(BaseModel): diff --git a/responses_api_models/vllm_model/client.py b/responses_api_models/vllm_model/client.py index 48b02c582..48311f13e 100644 --- a/responses_api_models/vllm_model/client.py +++ b/responses_api_models/vllm_model/client.py @@ -90,10 +90,10 @@ async def main(): ], }, ) - print(task_1a.json()) - print(task_1b.json()) - print(task_2a.json()) - print(task_2b.json()) + print(await task_1a.json()) + print(await task_1b.json()) + print(await task_2a.json()) + print(await task_2b.json()) if __name__ == "__main__": diff --git a/responses_api_models/vllm_model/tests/test_app.py b/responses_api_models/vllm_model/tests/test_app.py index ba8a8b8fb..d48b0d920 100644 --- a/responses_api_models/vllm_model/tests/test_app.py +++ b/responses_api_models/vllm_model/tests/test_app.py @@ -20,6 +20,7 @@ from nemo_gym import PARENT_DIR from nemo_gym.openai_utils import ( + NeMoGymAsyncOpenAI, NeMoGymChatCompletion, NeMoGymChatCompletionAssistantMessageForTrainingParam, NeMoGymChatCompletionAssistantMessageParam, @@ -1474,6 +1475,8 @@ def test_client_session_routing(self, monkeypatch: MonkeyPatch): server = VLLMModel(config=config, server_client=MagicMock(spec=ServerClient)) app = server.setup_webserver() + assert len(server._clients) == 2 + mock_chat_completion = NeMoGymChatCompletion( id="chtcmpl", object="chat.completion", @@ -1504,24 +1507,19 @@ def test_client_session_routing(self, monkeypatch: MonkeyPatch): input=input_messages, ) - assert len(server._clients) == 2 - mock_chat_completion_1 = mock_chat_completion.model_copy(deep=True) mock_chat_completion_1.choices[0].message.content = "1" - mock_method_1 = AsyncMock(return_value=mock_chat_completion_1) - monkeypatch.setattr( - server._clients[0].chat.completions, - "create", - mock_method_1, - ) + mock_method_1 = AsyncMock(return_value=mock_chat_completion_1.model_dump()) + client_1 = MagicMock(spec=NeMoGymAsyncOpenAI) + client_1.create_chat_completion = mock_method_1 + mock_chat_completion_2 = mock_chat_completion.model_copy(deep=True) mock_chat_completion_2.choices[0].message.content = "2" - mock_method_2 = AsyncMock(return_value=mock_chat_completion_2) - monkeypatch.setattr( - server._clients[1].chat.completions, - "create", - mock_method_2, - ) + mock_method_2 = AsyncMock(return_value=mock_chat_completion_2.model_dump()) + client_2 = MagicMock(spec=NeMoGymAsyncOpenAI) + client_2.create_chat_completion = mock_method_2 + + server._clients = [client_1, client_2] # Test first query by client 1 goes to underlying client 1 client_1 = TestClient(app) diff --git a/tests/unit_tests/test_openai_utils.py b/tests/unit_tests/test_openai_utils.py index 4c95c6432..43427c5df 100644 --- a/tests/unit_tests/test_openai_utils.py +++ b/tests/unit_tests/test_openai_utils.py @@ -15,5 +15,5 @@ class TestOpenAIUtils: - def test_NeMoGymAsyncOpenAI(self) -> None: + async def test_NeMoGymAsyncOpenAI(self) -> None: NeMoGymAsyncOpenAI(api_key="abc", base_url="https://api.openai.com/v1") diff --git a/tests/unit_tests/test_server_utils.py b/tests/unit_tests/test_server_utils.py index 54d5b6664..6a64c32da 100644 --- a/tests/unit_tests/test_server_utils.py +++ b/tests/unit_tests/test_server_utils.py @@ -107,11 +107,10 @@ async def test_ServerClient_get_post_sanity(self, monkeypatch: MonkeyPatch) -> N ) httpx_client_mock = MagicMock() - httpx_client_get_post_mock = AsyncMock() - httpx_client_get_post_mock.return_value = "my mock response" - httpx_client_mock.return_value.get = httpx_client_get_post_mock - httpx_client_mock.return_value.post = httpx_client_get_post_mock - monkeypatch.setattr(nemo_gym.server_utils, "get_global_httpx_client", 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