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https://github.com/NousResearch/atropos.git
synced 2026-04-19 12:57:58 +00:00
Add n kwarg being ignored workaround
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parent
706097db21
commit
1aa72d7e7e
4 changed files with 208 additions and 4 deletions
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@ -1 +1,2 @@
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OPENAI_API_KEY=
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OPENROUTER_API_KEY=
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@ -1,6 +1,7 @@
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import asyncio
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import collections
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import time
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import warnings
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from asyncio import exceptions
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from typing import Optional
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@ -45,6 +46,9 @@ class OpenaiConfig(BaseModel):
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rolling_buffer_length: int = Field(
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default=1000, description="Length of the rolling buffer to store metrics."
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)
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n_kwarg_is_ignored: bool = Field(
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default=False, description="Whether the n kwarg is ignored."
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)
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class AsyncSemWithAdaptiveWeight(asyncio.Semaphore):
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@ -191,6 +195,42 @@ class OpenAIServer:
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)
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return metrics_dict
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async def _chat_completion_wrapper(self, **kwargs) -> ChatCompletion:
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if self.config.n_kwarg_is_ignored:
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n = kwargs.pop("n", 1)
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completion_list = await asyncio.gather(
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*[self.openai.chat.completions.create(**kwargs) for _ in range(n)]
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)
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completions = completion_list[0]
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if n > 1:
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for c in completion_list[1:]:
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completions.choices.extend(c.choices)
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else:
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completions = await self.openai.chat.completions.create(**kwargs)
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else:
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if "n" in kwargs:
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n = kwargs["n"]
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else:
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n = 1
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completions = await self.openai.chat.completions.create(**kwargs)
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if len(completions.choices) != n:
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if len(completions.choices) != 1:
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raise ValueError(
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f"Expected 1 or {n} completions, got {len(completions.choices)}!"
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)
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else:
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warnings.warn("n kwarg is ignored by the API, setting to True")
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self.config.n_kwarg_is_ignored = True
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completion_list = await asyncio.gather(
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*[
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self.openai.chat.completions.create(**kwargs)
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for _ in range(1, n)
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]
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)
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for c in completion_list:
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completions.choices.extend(c.choices)
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return completions
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@retry(
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stop=stop_after_attempt(3), wait=wait_random_exponential(multiplier=1, max=10)
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)
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@ -201,7 +241,7 @@ class OpenAIServer:
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if stat_dict.get("start", None) is None:
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stat_dict["start"] = time.time()
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stat_dict["attempts"] += 1
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completions = await self.openai.chat.completions.create(**kwargs)
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completions = await self._chat_completion_wrapper(**kwargs)
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stat_dict["end"] = time.time()
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return completions
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@ -215,7 +255,7 @@ class OpenAIServer:
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if stat_dict.get("start", None) is None:
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stat_dict["start"] = time.time()
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stat_dict["attempts"] += 1
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completions = await self.openai.chat.completions.create(**kwargs)
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completions = await self._chat_completion_wrapper(**kwargs)
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stat_dict["end"] = time.time()
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return completions
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@ -246,6 +286,36 @@ class OpenAIServer:
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self.eval_attempts_list.append(stat_dict["attempts"])
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return ret_data
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async def _completion_wrapper(self, **kwargs) -> Completion:
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if self.config.n_kwarg_is_ignored:
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n = kwargs.pop("n", 1)
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completion_list = await asyncio.gather(
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*[self.openai.completions.create(**kwargs) for _ in range(n)]
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)
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completions = completion_list[0]
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if n > 1:
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for c in completion_list[1:]:
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completions.choices.extend(c.choices)
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else:
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if "n" in kwargs:
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n = kwargs["n"]
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else:
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n = 1
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completions = await self.openai.completions.create(**kwargs)
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if len(completions.choices) != n:
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if len(completions.choices) != 1:
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raise ValueError(
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f"Expected 1 or {n} completions, got {len(completions.choices)}!"
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)
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else:
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warnings.warn("n kwarg is ignored by the API, setting to True")
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self.config.n_kwarg_is_ignored = True
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completion_list = await asyncio.gather(
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*[self.openai.completions.create(**kwargs) for _ in range(1, n)]
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)
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for c in completion_list:
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completions.choices.extend(c.choices)
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@retry(
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stop=stop_after_attempt(3), wait=wait_random_exponential(multiplier=1, max=10)
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)
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@ -256,7 +326,7 @@ class OpenAIServer:
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if stat_dict.get("start", None) is None:
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stat_dict["start"] = time.time()
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stat_dict["attempts"] += 1
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completions = await self.openai.completions.create(**kwargs)
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completions = await self._completion_wrapper(**kwargs)
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stat_dict["end"] = time.time()
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return completions
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@ -270,7 +340,7 @@ class OpenAIServer:
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if stat_dict.get("start", None) is None:
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stat_dict["start"] = time.time()
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stat_dict["attempts"] += 1
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completions = await self.openai.completions.create(**kwargs)
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completions = await self._completion_wrapper(**kwargs)
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stat_dict["end"] = time.time()
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return completions
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23
atroposlib/tests/conftest.py
Normal file
23
atroposlib/tests/conftest.py
Normal file
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@ -0,0 +1,23 @@
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import pytest
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def pytest_addoption(parser):
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parser.addoption(
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"--runproviders", action="store_true", default=False, help="run provider tests"
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)
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def pytest_configure(config):
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config.addinivalue_line(
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"markers", "providers: mark test as requires providers api keys to run"
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)
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def pytest_collection_modifyitems(config, items):
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if config.getoption("--runproviders"):
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# --runproviders given in cli: do not skip slow tests
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return
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skip_providers = pytest.mark.skip(reason="need --runproviders option to run")
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for item in items:
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if "providers" in item.keywords:
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item.add_marker(skip_providers)
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110
atroposlib/tests/test_openai_api_workarounds.py
Normal file
110
atroposlib/tests/test_openai_api_workarounds.py
Normal file
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@ -0,0 +1,110 @@
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import asyncio
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import os
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import dotenv
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import pytest
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from atroposlib.envs.server_handling.openai_server import OpenaiConfig, OpenAIServer
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@pytest.mark.providers
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def test_openai_api_n_kwarg_ignore_discovery():
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dotenv.load_dotenv()
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openrouter_api_key = os.getenv("OPENROUTER_API_KEY")
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if not openrouter_api_key:
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pytest.skip("OPENROUTER_API_KEY not set")
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config = OpenaiConfig(
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api_key=openrouter_api_key,
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base_url="https://openrouter.ai/api/v1",
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model_name="openai/gpt-4.1-nano",
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timeout=1200,
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num_max_requests_at_once=512,
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num_requests_for_eval=64,
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rolling_buffer_length=1024,
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)
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assert not config.n_kwarg_is_ignored, "n kwarg is not ignored by default"
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n = 4
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server = OpenAIServer(
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config=config,
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)
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response = asyncio.run(
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server.chat_completion(
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messages=[
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{"role": "user", "content": "Hello, how are you?"},
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],
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n=n,
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)
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)
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assert server.config.n_kwarg_is_ignored, "n kwarg is should be set after discovery"
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print(len(response.choices), n)
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assert (
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len(response.choices) == n
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), f"Expected {n} responses, got {len(response.choices)}"
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@pytest.mark.providers
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def test_openai_api_n_kwarg_ignore_use():
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dotenv.load_dotenv()
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openrouter_api_key = os.getenv("OPENROUTER_API_KEY")
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if not openrouter_api_key:
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pytest.skip("OPENROUTER_API_KEY not set")
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config = OpenaiConfig(
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api_key=openrouter_api_key,
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base_url="https://openrouter.ai/api/v1",
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model_name="openai/gpt-4.1-nano",
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timeout=1200,
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num_max_requests_at_once=512,
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num_requests_for_eval=64,
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rolling_buffer_length=1024,
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n_kwarg_is_ignored=True,
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)
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server = OpenAIServer(
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config=config,
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)
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n = 4
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response = asyncio.run(
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server.chat_completion(
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messages=[
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{"role": "user", "content": "Hello, how are you?"},
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],
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n=n,
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)
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)
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assert server.config.n_kwarg_is_ignored, "n kwarg is should be set after discovery"
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assert (
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len(response.choices) == n
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), f"Expected {n} responses, got {len(response.choices)}"
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@pytest.mark.providers
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def test_openai_api_n_kwarg_supported():
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dotenv.load_dotenv()
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openai_api_key = os.getenv("OPENAI_API_KEY")
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if not openai_api_key:
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pytest.skip("OPENAI_API_KEY not set")
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config = OpenaiConfig(
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model_name="gpt-4.1-nano",
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timeout=1200,
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num_max_requests_at_once=512,
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num_requests_for_eval=64,
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rolling_buffer_length=1024,
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n_kwarg_is_ignored=False,
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)
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server = OpenAIServer(
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config=config,
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)
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n = 4
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response = asyncio.run(
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server.chat_completion(
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messages=[
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{"role": "user", "content": "Hello, how are you?"},
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],
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n=n,
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)
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)
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assert (
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not server.config.n_kwarg_is_ignored
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), "n kwarg should be used with supported models"
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assert (
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len(response.choices) == n
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), f"Expected {n} responses, got {len(response.choices)}"
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