From 54d4c61f5de9cd31ca5eb89cb0fbf973e32a63af Mon Sep 17 00:00:00 2001 From: Enkidu93 Date: Mon, 2 Nov 2026 17:59:26 -0500 Subject: [PATCH 1/6] OpenRouter LLM client implementation --- .vscode/settings.json | 20 +- machine/translation/llm/__init__.py | 5 + .../translation/llm/llm_completion_client.py | 33 + .../llm/openrouter_llm_completion_client.py | 93 + pyproject.toml | 1 + .../test_openrouter_llm_completion_client.py | 124 + uv.lock | 3321 +++++++++++------ 7 files changed, 2406 insertions(+), 1191 deletions(-) create mode 100644 machine/translation/llm/__init__.py create mode 100644 machine/translation/llm/llm_completion_client.py create mode 100644 machine/translation/llm/openrouter_llm_completion_client.py create mode 100644 tests/translation/llm/test_openrouter_llm_completion_client.py diff --git a/.vscode/settings.json b/.vscode/settings.json index 82d370be..7b2961d9 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -16,8 +16,15 @@ "files.associations": { "*.SFM": "usfm" }, - "black-formatter.path": ["uv", "run", "black"], - "isort.args": ["--profile", "black"], + "black-formatter.path": [ + "uv", + "run", + "black" + ], + "isort.args": [ + "--profile", + "black" + ], "cSpell.words": [ "CLEARML", "DYNACONF", @@ -26,5 +33,12 @@ "typeshed", "Usfm", "venv" + ], + "python-envs.pythonProjects": [ + { + "path": ".", + "envManager": "ms-python.python:venv", + "packageManager": "ms-python.python:pip" + } ] -} +} \ No newline at end of file diff --git a/machine/translation/llm/__init__.py b/machine/translation/llm/__init__.py new file mode 100644 index 00000000..023f2abf --- /dev/null +++ b/machine/translation/llm/__init__.py @@ -0,0 +1,5 @@ +from .openrouter_llm_completion_client import OpenRouterLlmCompletionClient + +__all__ = [ + "OpenRouterLlmCompletionClient", +] diff --git a/machine/translation/llm/llm_completion_client.py b/machine/translation/llm/llm_completion_client.py new file mode 100644 index 00000000..36cafe28 --- /dev/null +++ b/machine/translation/llm/llm_completion_client.py @@ -0,0 +1,33 @@ +from dataclasses import dataclass, field +from typing import Dict, List, Optional +from abc import ABC, abstractmethod + + +@dataclass(frozen=True) +class TokenLogprob: + token: str + logprob: float + + +@dataclass(frozen=True) +class Completion: + """A reply from the model, with whatever the provider reported alongside it.""" + + text: str + cost: float + token_logprobs: List[TokenLogprob] = field(default_factory=list) + input_token_count: int = 0 + output_token_count: int = 0 + # True for a reply saved by an earlier run, whose cost that run already paid. + reused: bool = False + + +class LlmCompletionClient(ABC): + @abstractmethod + def complete(self, messages: List[Dict[str, str]], logprobs: bool = False) -> Completion: ... + + def supports_logprobs(self) -> bool: + return False + + def count_tokens(self, text: str) -> Optional[int]: + return None diff --git a/machine/translation/llm/openrouter_llm_completion_client.py b/machine/translation/llm/openrouter_llm_completion_client.py new file mode 100644 index 00000000..22ca5fa8 --- /dev/null +++ b/machine/translation/llm/openrouter_llm_completion_client.py @@ -0,0 +1,93 @@ +import logging +from typing import Any, Dict, List, Optional + +from .llm_completion_client import Completion, LlmCompletionClient, TokenLogprob + +LOGGER = logging.getLogger(__name__) + + +class OpenRouterLlmCompletionClient(LlmCompletionClient): + def __init__( + self, + model: str, + temperature: float = 0.0, + max_tokens: Optional[int] = None, + api_key: Optional[str] = None, + ) -> None: + self._model = model + self._temperature = temperature + self._max_tokens = max_tokens + self._logprobs_supported: Optional[bool] = None + self._entered = False + self._closed = False + try: + from openrouter import OpenRouter + except ImportError as error: + raise ImportError( + "OpenRouter completions require the 'openrouter' package. Install it with `uv sync --extra llm`." + ) from error + self._client = OpenRouter(api_key=api_key) + + def complete(self, messages: List[Dict[str, str]], logprobs: bool = False) -> Completion: + request = { + "model": self._model, + "messages": messages, + "temperature": self._temperature, + "logprobs": logprobs, + "stream": False, + } + if self._max_tokens is not None: + request["max_completion_tokens"] = self._max_tokens + response = self._client.chat.send(**request) + choices = getattr(response, "choices", []) + choice = choices[0] if choices else None + message = getattr(choice, "message", None) + content = getattr(message, "content", None) + text = content if isinstance(content, str) else "" + token_logprobs = self._get_logprobs(choice) if logprobs else [] + usage = getattr(response, "usage", None) + cost = getattr(usage, "cost", None) + prompt_tokens = getattr(usage, "prompt_tokens", 0) + completion_tokens = getattr(usage, "completion_tokens", 0) + return Completion( + text=text, + cost=float(cost) if isinstance(cost, (int, float)) else 0.0, + token_logprobs=token_logprobs, + input_token_count=int(prompt_tokens) if isinstance(prompt_tokens, int) else 0, + output_token_count=int(completion_tokens) if isinstance(completion_tokens, int) else 0, + ) + + def supports_logprobs(self) -> bool: + if self._logprobs_supported is None: + try: + author, separator, slug = self._model.partition("/") + if not separator or not author or not slug: + return False + model = self._client.models.get(author=author, slug=slug).data + self._logprobs_supported = "logprobs" in model.supported_parameters + except Exception: + LOGGER.warning("Could not determine whether OpenRouter model '%s' supports logprobs.", self._model) + self._logprobs_supported = False + return self._logprobs_supported + + def __enter__(self) -> "OpenRouterLlmCompletionClient": + if not self._entered and not self._closed: + self._client.__enter__() + self._entered = True + return self + + def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None: + if self._entered: + self._client.__exit__(exc_type, exc_value, traceback) + self._entered = False + self._closed = True + + def close(self) -> None: + if not self._entered and not self._closed: + self._client.__exit__(None, None, None) + self._closed = True + + def _get_logprobs(self, choice: Any) -> List[TokenLogprob]: + logprobs = getattr(choice, "logprobs", None) + entries = getattr(logprobs, "content", None) or [] + return [TokenLogprob(str(entry.token), float(entry.logprob)) for entry in entries] diff --git a/pyproject.toml b/pyproject.toml index 8105c060..f84eae4c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -54,6 +54,7 @@ jobs = [ "dynaconf>=3.2.5,<4.0", "pydantic>=2.13.4,<3.0", ] +llm = ["scikit-learn>=1.6,<2.0", "openrouter>=1.3.95"] [build-system] requires = ["uv_build>=0.12.17,<0.13"] diff --git a/tests/translation/llm/test_openrouter_llm_completion_client.py b/tests/translation/llm/test_openrouter_llm_completion_client.py new file mode 100644 index 00000000..500c17c7 --- /dev/null +++ b/tests/translation/llm/test_openrouter_llm_completion_client.py @@ -0,0 +1,124 @@ +from contextlib import contextmanager +from types import SimpleNamespace +from unittest.mock import patch + +from machine.translation.llm import OpenRouterLlmCompletionClient +from machine.translation.llm.llm_completion_client import Completion, TokenLogprob + + +class _FakeChat: + def __init__(self, response): + self.response = response + self.calls = [] + + def send(self, **kwargs): + self.calls.append(kwargs) + return self.response + + +class _FakeModels: + def __init__(self, supported_parameters, error=None): + self.supported_parameters = supported_parameters + self.error = error + self.calls = [] + + def get(self, *, author, slug): + self.calls.append((author, slug)) + if self.error is not None: + raise self.error + return SimpleNamespace(data=SimpleNamespace(supported_parameters=self.supported_parameters)) + + +class _FakeOpenRouter: + def __init__(self, response, supported_parameters=None, model_error=None): + self.chat = _FakeChat(response) + self.models = _FakeModels(supported_parameters or [], model_error) + self.enter_calls = 0 + self.exit_calls = 0 + + def __enter__(self): + self.enter_calls += 1 + return self + + def __exit__(self, exc_type, exc_value, traceback): + self.exit_calls += 1 + + +@contextmanager +def _client(response, supported_parameters=None, model_error=None): + sdk_client = _FakeOpenRouter(response, supported_parameters, model_error) + with patch("openrouter.OpenRouter", return_value=sdk_client): + yield sdk_client + + +def test_openrouter_client_sends_chat_request_and_maps_completion_fields(): + response = SimpleNamespace( + choices=[SimpleNamespace(message=SimpleNamespace(content="hola"))], + usage=SimpleNamespace(cost=0.012, prompt_tokens=8, completion_tokens=2), + ) + with _client(response) as sdk_client: + with OpenRouterLlmCompletionClient( + "openai/gpt-4o", temperature=0.2, max_tokens=50, api_key="test-key" + ) as completion_client: + result = completion_client.complete([{"role": "user", "content": "hello"}]) + + assert result == Completion("hola", 0.012, input_token_count=8, output_token_count=2) + assert sdk_client.chat.calls == [ + { + "model": "openai/gpt-4o", + "messages": [{"role": "user", "content": "hello"}], + "temperature": 0.2, + "max_completion_tokens": 50, + "logprobs": False, + "stream": False, + } + ] + + +def test_openrouter_client_maps_requested_token_logprobs(): + response = SimpleNamespace( + choices=[ + SimpleNamespace( + message=SimpleNamespace(content="hola"), + logprobs=SimpleNamespace(content=[SimpleNamespace(token="hola", logprob=-0.2)]), + ) + ], + usage=None, + ) + with _client(response): + with OpenRouterLlmCompletionClient("openai/gpt-4o", api_key="test-key") as client: + result = client.complete([], logprobs=True) + + assert result == Completion("hola", 0.0, [TokenLogprob("hola", -0.2)]) + + +def test_openrouter_client_reports_logprobs_supported_by_its_model_and_caches_lookup(): + response = SimpleNamespace(choices=[], usage=None) + with _client(response, ["temperature", "logprobs"]) as sdk_client: + with OpenRouterLlmCompletionClient("openai/gpt-4o", api_key="test-key") as client: + assert client.supports_logprobs() + assert client.supports_logprobs() + + assert sdk_client.models.calls == [("openai", "gpt-4o")] + + +def test_openrouter_client_reports_logprobs_unsupported_by_its_model(): + response = SimpleNamespace(choices=[], usage=None) + with _client(response, ["temperature"]): + with OpenRouterLlmCompletionClient("openai/gpt-4o", api_key="test-key") as client: + assert not client.supports_logprobs() + + +def test_openrouter_client_reports_logprobs_unsupported_when_model_lookup_fails(): + response = SimpleNamespace(choices=[], usage=None) + with _client(response, model_error=RuntimeError("metadata unavailable")): + with OpenRouterLlmCompletionClient("openai/gpt-4o", api_key="test-key") as client: + assert not client.supports_logprobs() + + +def test_openrouter_client_reports_logprobs_unsupported_for_unqualified_model_ids(): + response = SimpleNamespace(choices=[], usage=None) + with _client(response, ["logprobs"]) as sdk_client: + with OpenRouterLlmCompletionClient("gpt-4o", api_key="test-key") as client: + assert not client.supports_logprobs() + assert sdk_client.models.calls == [] diff --git a/uv.lock b/uv.lock index c017e097..d59a3373 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,11 @@ version = 1 -revision = 3 +revision = 5 requires-python = ">=3.10, <3.15" resolution-markers = [ "python_full_version >= '3.14'", "python_full_version >= '3.12' and python_full_version < '3.14'", - "python_full_version == '3.11.*'", + "python_full_version >= '3.11.5' and python_full_version < '3.12'", + "python_full_version >= '3.11' and python_full_version < '3.11.5'", "python_full_version < '3.11'", ] @@ -16,7 +17,7 @@ dependencies = [ { name = "huggingface-hub" }, { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, - { name = "numpy", version = "2.5.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, + { name = "numpy", version = "2.5.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, { name = "packaging" }, { name = "psutil" }, { name = "pyyaml" }, @@ -39,7 +40,7 @@ wheels = [ [[package]] name = "aiohttp" -version = "3.14.3" +version = "3.14.5" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs" }, @@ -47,131 +48,133 @@ dependencies = [ { name = "async-timeout", marker = "python_full_version 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"7.2.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "propcache" }, ] sdist = { url = "https://files.pythonhosted.org/packages/75/16/e8be8e2fb175bbf41a0680381a319f1199fae256588241a2ac8677eafb49/yarl-1.25.1.tar.gz", hash = "sha256:03dd38de09bc213e9a8b29761eec33ee1d5318dac0e49d8af36e4d27830e23a7", size = 246245, upload-time = "2026-09-15T19:35:02.264Z" } From b503467c486199b72305fa0ee61d1bb5d4614084 Mon Sep 17 00:00:00 2001 From: Enkidu93 Date: Mon, 2 Nov 2026 18:24:45 -0500 Subject: [PATCH 2/6] Fix imports --- machine/translation/llm/llm_completion_client.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/machine/translation/llm/llm_completion_client.py b/machine/translation/llm/llm_completion_client.py index 36cafe28..17a440f3 100644 --- a/machine/translation/llm/llm_completion_client.py +++ b/machine/translation/llm/llm_completion_client.py @@ -1,6 +1,6 @@ +from abc import ABC, abstractmethod from dataclasses import dataclass, field from typing import Dict, List, Optional -from abc import ABC, abstractmethod @dataclass(frozen=True) From 1b59d55336b86e61dae03933a5dd23b4e437a1ed Mon Sep 17 00:00:00 2001 From: Enkidu93 Date: Mon, 2 Nov 2026 19:08:41 -0500 Subject: [PATCH 3/6] Remove unused parameter --- machine/translation/llm/llm_completion_client.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/machine/translation/llm/llm_completion_client.py b/machine/translation/llm/llm_completion_client.py index 17a440f3..851e1ff5 100644 --- a/machine/translation/llm/llm_completion_client.py +++ b/machine/translation/llm/llm_completion_client.py @@ -18,8 +18,6 @@ class Completion: token_logprobs: List[TokenLogprob] = field(default_factory=list) input_token_count: int = 0 output_token_count: int = 0 - # True for a reply saved by an earlier run, whose cost that run already paid. - reused: bool = False class LlmCompletionClient(ABC): From ca8a3b76e80699ff5bf31b7d0e591f3cc8f97804 Mon Sep 17 00:00:00 2001 From: Enkidu93 Date: Thu, 5 Nov 2026 17:03:14 -0500 Subject: [PATCH 4/6] Respond to reviewer comments --- machine/translation/llm/__init__.py | 5 +- .../translation/llm/llm_completion_client.py | 16 +- .../llm/openrouter_llm_completion_client.py | 85 +++-- machine/translation/translation_engine.py | 4 +- pyproject.toml | 2 +- .../test_openrouter_llm_completion_client.py | 36 ++ uv.lock | 310 ------------------ 7 files changed, 109 insertions(+), 349 deletions(-) diff --git a/machine/translation/llm/__init__.py b/machine/translation/llm/__init__.py index 023f2abf..0ec9d36a 100644 --- a/machine/translation/llm/__init__.py +++ b/machine/translation/llm/__init__.py @@ -1,5 +1,4 @@ +from .llm_completion_client import Completion, LlmCompletionClient, TokenLogprob from .openrouter_llm_completion_client import OpenRouterLlmCompletionClient -__all__ = [ - "OpenRouterLlmCompletionClient", -] +__all__ = ["Completion", "LlmCompletionClient", "OpenRouterLlmCompletionClient", "TokenLogprob"] diff --git a/machine/translation/llm/llm_completion_client.py b/machine/translation/llm/llm_completion_client.py index 851e1ff5..f1d43205 100644 --- a/machine/translation/llm/llm_completion_client.py +++ b/machine/translation/llm/llm_completion_client.py @@ -1,6 +1,9 @@ +from __future__ import annotations + from abc import ABC, abstractmethod from dataclasses import dataclass, field -from typing import Dict, List, Optional +from types import TracebackType +from typing import Dict, List, Optional, Type @dataclass(frozen=True) @@ -29,3 +32,14 @@ def supports_logprobs(self) -> bool: def count_tokens(self, text: str) -> Optional[int]: return None + + def __enter__(self) -> LlmCompletionClient: + return self + + def __exit__( + self, + exc_type: Optional[Type[BaseException]], + exc_value: Optional[BaseException], + traceback: Optional[TracebackType], + ) -> None: + pass diff --git a/machine/translation/llm/openrouter_llm_completion_client.py b/machine/translation/llm/openrouter_llm_completion_client.py index 22ca5fa8..7958b46e 100644 --- a/machine/translation/llm/openrouter_llm_completion_client.py +++ b/machine/translation/llm/openrouter_llm_completion_client.py @@ -1,9 +1,10 @@ import logging -from typing import Any, Dict, List, Optional +from types import TracebackType +from typing import Any, Dict, List, Optional, Type from .llm_completion_client import Completion, LlmCompletionClient, TokenLogprob -LOGGER = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class OpenRouterLlmCompletionClient(LlmCompletionClient): @@ -18,7 +19,6 @@ def __init__( self._temperature = temperature self._max_tokens = max_tokens self._logprobs_supported: Optional[bool] = None - self._entered = False self._closed = False try: from openrouter import OpenRouter @@ -29,6 +29,20 @@ def __init__( self._client = OpenRouter(api_key=api_key) def complete(self, messages: List[Dict[str, str]], logprobs: bool = False) -> Completion: + if self._closed: + raise RuntimeError("OpenRouter completion client is closed.") + try: + from openrouter.components import ( + ChatAssistantMessage, + ChatAssistantMessageContent, + ChatContentText, + ChatResult, + ChatUsage, + ) + except ImportError as error: + raise ImportError( + "OpenRouter completions require the 'openrouter' package. Install it with `uv sync --extra llm`." + ) from error request = { "model": self._model, "messages": messages, @@ -38,26 +52,34 @@ def complete(self, messages: List[Dict[str, str]], logprobs: bool = False) -> Co } if self._max_tokens is not None: request["max_completion_tokens"] = self._max_tokens - response = self._client.chat.send(**request) - choices = getattr(response, "choices", []) - choice = choices[0] if choices else None - message = getattr(choice, "message", None) - content = getattr(message, "content", None) - text = content if isinstance(content, str) else "" + response: ChatResult = self._client.chat.send(**request) + choice = response.choices[0] if response.choices else None + if choice is not None and getattr(choice, "finish_reason", None) == "length" and self._max_tokens is not None: + logger.warning("Completion was finished because the max tokens ceiling %d was hit", self._max_tokens) + message: Optional[ChatAssistantMessage] = getattr(choice, "message", None) + content: Optional[ChatAssistantMessageContent] = getattr(message, "content", None) + if isinstance(content, str): + text = content + elif isinstance(content, list): + text = "".join(p.text for p in content if isinstance(p, ChatContentText)) + else: + text = "" token_logprobs = self._get_logprobs(choice) if logprobs else [] - usage = getattr(response, "usage", None) - cost = getattr(usage, "cost", None) - prompt_tokens = getattr(usage, "prompt_tokens", 0) - completion_tokens = getattr(usage, "completion_tokens", 0) + usage: Optional[ChatUsage] = getattr(response, "usage", None) + cost: Optional[float] = getattr(usage, "cost", None) + prompt_tokens: int = getattr(usage, "prompt_tokens", 0) + completion_tokens: int = getattr(usage, "completion_tokens", 0) return Completion( text=text, - cost=float(cost) if isinstance(cost, (int, float)) else 0.0, + cost=cost or 0.0, token_logprobs=token_logprobs, - input_token_count=int(prompt_tokens) if isinstance(prompt_tokens, int) else 0, - output_token_count=int(completion_tokens) if isinstance(completion_tokens, int) else 0, + input_token_count=prompt_tokens, + output_token_count=completion_tokens, ) def supports_logprobs(self) -> bool: + if self._closed: + raise RuntimeError("OpenRouter completion client is closed.") if self._logprobs_supported is None: try: author, separator, slug = self._model.partition("/") @@ -66,26 +88,25 @@ def supports_logprobs(self) -> bool: model = self._client.models.get(author=author, slug=slug).data self._logprobs_supported = "logprobs" in model.supported_parameters except Exception: - LOGGER.warning("Could not determine whether OpenRouter model '%s' supports logprobs.", self._model) - self._logprobs_supported = False - return self._logprobs_supported + logger.warning( + "Could not determine whether OpenRouter model '%s' supports logprobs.", self._model, exc_info=True + ) + return self._logprobs_supported or False def __enter__(self) -> "OpenRouterLlmCompletionClient": - if not self._entered and not self._closed: - self._client.__enter__() - self._entered = True + if self._closed: + raise RuntimeError("OpenRouter completion client is closed.") + self._client.__enter__() return self - def __exit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None: - if self._entered: - self._client.__exit__(exc_type, exc_value, traceback) - self._entered = False - self._closed = True - - def close(self) -> None: - if not self._entered and not self._closed: - self._client.__exit__(None, None, None) - self._closed = True + def __exit__( + self, + exc_type: Optional[Type[BaseException]], + exc_value: Optional[BaseException], + traceback: Optional[TracebackType], + ) -> None: + self._client.__exit__(exc_type, exc_value, traceback) + self._closed = True def _get_logprobs(self, choice: Any) -> List[TokenLogprob]: logprobs = getattr(choice, "logprobs", None) diff --git a/machine/translation/translation_engine.py b/machine/translation/translation_engine.py index 9a20c237..c6ac979e 100644 --- a/machine/translation/translation_engine.py +++ b/machine/translation/translation_engine.py @@ -1,13 +1,13 @@ from __future__ import annotations -from abc import abstractmethod +from abc import ABC, abstractmethod from types import TracebackType from typing import Optional, Sequence, Type, Union from .translation_result import TranslationResult -class TranslationEngine: +class TranslationEngine(ABC): @abstractmethod def translate(self, segment: Union[str, Sequence[str]]) -> TranslationResult: ... diff --git a/pyproject.toml b/pyproject.toml index f84eae4c..e852957a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -54,7 +54,7 @@ jobs = [ "dynaconf>=3.2.5,<4.0", "pydantic>=2.13.4,<3.0", ] -llm = ["scikit-learn>=1.6,<2.0", "openrouter>=1.3.95"] +llm = ["openrouter>=1.3.95"] [build-system] requires = ["uv_build>=0.12.17,<0.13"] diff --git a/tests/translation/llm/test_openrouter_llm_completion_client.py b/tests/translation/llm/test_openrouter_llm_completion_client.py index 500c17c7..23f50a8d 100644 --- a/tests/translation/llm/test_openrouter_llm_completion_client.py +++ b/tests/translation/llm/test_openrouter_llm_completion_client.py @@ -2,6 +2,8 @@ from types import SimpleNamespace from unittest.mock import patch +import pytest + from machine.translation.llm import OpenRouterLlmCompletionClient from machine.translation.llm.llm_completion_client import Completion, TokenLogprob @@ -73,6 +75,40 @@ def test_openrouter_client_sends_chat_request_and_maps_completion_fields(): "stream": False, } ] + assert sdk_client.enter_calls == 1 + assert sdk_client.exit_calls == 1 + + +def test_openrouter_client_max_tokens_is_none(): + response = SimpleNamespace(choices=[], usage=None) + with _client(response) as sdk_client: + with OpenRouterLlmCompletionClient("openai/gpt-4o", api_key="test-key") as client: + client.complete([]) + + assert sdk_client.chat.calls == [ + { + "model": "openai/gpt-4o", + "messages": [], + "temperature": 0.0, + "logprobs": False, + "stream": False, + } + ] + + +def test_openrouter_client_fails_after_client_is_closed(): + response = SimpleNamespace(choices=[], usage=None) + with _client(response): + client = OpenRouterLlmCompletionClient("openai/gpt-4o", api_key="test-key") + with client: + pass + + with pytest.raises(RuntimeError, match="closed"): + client.complete([]) + + with pytest.raises(RuntimeError, match="closed"): + with client: + client.complete([]) def test_openrouter_client_maps_requested_token_logprobs(): diff --git a/uv.lock b/uv.lock index d59a3373..38d8d5c7 100644 --- a/uv.lock +++ b/uv.lock @@ -2219,15 +2219,6 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/79/7b/2c79738432f5c924bef5071f933bcc9efd0473bac3b4aa584a6f7c1c8df8/mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505", size = 4963, upload-time = "2025-04-22T14:54:22.983Z" }, ] -[[package]] -name = "narwhals" -version = "2.28.0" -source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/67/43/e11d75a7fb635c6f63dd6e176cb3e050ec2fee35f2f2267b332a6ad351ec/narwhals-2.28.0.tar.gz", hash = "sha256:2d9860c80d6610820826e94c6e42ce4b1d92d89cdd479586e652a8d211dab345", size = 754977, upload-time = "2026-10-27T12:19:33.777Z" } -wheels = [ - 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