Use niquests

.github/workflows/publish.yml

@@ -11,7 +11,7 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - uses: extractions/setup-just@v2
-      - uses: astral-sh/setup-uv@v3
+      - uses: astral-sh/setup-uv@v4
         with:
           enable-cache: true
           cache-dependency-glob: "**/pyproject.toml"

.github/workflows/test.yml

@@ -17,7 +17,7 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - uses: extractions/setup-just@v2
-      - uses: astral-sh/setup-uv@v3
+      - uses: astral-sh/setup-uv@v4
         with:
           enable-cache: true
           cache-dependency-glob: "**/pyproject.toml"
@@ -32,13 +32,12 @@ jobs:
           - "3.10"
           - "3.11"
           - "3.12"
-          - "3.13"
     steps:
       - uses: actions/checkout@v4
       - uses: extractions/setup-just@v2
-      - uses: astral-sh/setup-uv@v3
+      - uses: astral-sh/setup-uv@v4
         with:
           enable-cache: true
           cache-dependency-glob: "**/pyproject.toml"
-      - run: uv python install ${{ matrix.python-version }}
+      - run: uv venv --python ${{ matrix.python-version }}
       - run: just test -vv

Justfile

@@ -10,8 +10,18 @@ lint:
     uv run --group lint ruff format
     uv run --group lint mypy .
 
+_test-no-http *args:
+    uv run pytest --ignore tests/test_http.py {{ args }}
+
 test *args:
+    #!/bin/bash
+    uv run litestar --app tests.testing_app:app run &
+    APP_PID=$!
     uv run pytest {{ args }}
+    TEST_RESULT=$?
+    kill $APP_PID
+    wait $APP_PID 2>/dev/null
+    exit $TEST_RESULT
 
 publish:
     rm -rf dist

README.md

@@ -162,23 +162,23 @@ async with any_llm_client.OpenAIClient(config, ...) as client:
 #### Timeouts, proxy & other HTTP settings
 
 
-Pass custom [HTTPX](https://www.python-httpx.org) kwargs to `any_llm_client.get_client()`:
+Pass custom [niquests](https://niquests.readthedocs.io) kwargs to `any_llm_client.get_client()`:
 
 ```python
-import httpx
+import urllib3
 
 import any_llm_client
 
 
 async with any_llm_client.get_client(
     ...,
-    mounts={"https://api.openai.com": httpx.AsyncHTTPTransport(proxy="http://localhost:8030")},
-    timeout=httpx.Timeout(None, connect=5.0),
+    proxies={"https://api.openai.com": "http://localhost:8030"},
+    timeout=urllib3.Timeout(total=10.0, connect=5.0),
 ) as client:
     ...
 ```
 
-Default timeout is `httpx.Timeout(None, connect=5.0)` (5 seconds on connect, unlimited on read, write or pool).
+Default timeout is `urllib3.Timeout(total=None, connect=5.0)`.
 
 #### Retries
 

any_llm_client/clients/openai.py

@@ -6,8 +6,7 @@
 from http import HTTPStatus
 
 import annotated_types
-import httpx
-import httpx_sse
+import niquests
 import pydantic
 import typing_extensions
 
@@ -20,8 +19,9 @@
     OutOfTokensOrSymbolsError,
     UserMessage,
 )
-from any_llm_client.http import get_http_client_from_kwargs, make_http_request, make_streaming_http_request
+from any_llm_client.http import HttpClient, HttpStatusError
 from any_llm_client.retry import RequestRetryConfig
+from any_llm_client.sse import parse_sse_events
 
 
 OPENAI_AUTH_TOKEN_ENV_NAME: typing.Final = "ANY_LLM_CLIENT_OPENAI_AUTH_TOKEN"
@@ -99,31 +99,34 @@ def _make_user_assistant_alternate_messages(
         yield ChatCompletionsMessage(role=current_message_role, content="\n\n".join(current_message_content_chunks))
 
 
-def _handle_status_error(*, status_code: int, content: bytes) -> typing.NoReturn:
-    if status_code == HTTPStatus.BAD_REQUEST and b"Please reduce the length of the messages" in content:  # vLLM
-        raise OutOfTokensOrSymbolsError(response_content=content)
-    raise LLMError(response_content=content)
+def _handle_status_error(error: HttpStatusError) -> typing.NoReturn:
+    if (
+        error.status_code == HTTPStatus.BAD_REQUEST and b"Please reduce the length of the messages" in error.content
+    ):  # vLLM
+        raise OutOfTokensOrSymbolsError(response_content=error.content)
+    raise LLMError(response_content=error.content)
 
 
 @dataclasses.dataclass(slots=True, init=False)
 class OpenAIClient(LLMClient):
     config: OpenAIConfig
-    httpx_client: httpx.AsyncClient
+    http_client: HttpClient
     request_retry: RequestRetryConfig
 
     def __init__(
         self,
         config: OpenAIConfig,
         *,
         request_retry: RequestRetryConfig | None = None,
-        **httpx_kwargs: typing.Any,  # noqa: ANN401
+        **niquests_kwargs: typing.Any,  # noqa: ANN401
     ) -> None:
         self.config = config
-        self.request_retry = request_retry or RequestRetryConfig()
-        self.httpx_client = get_http_client_from_kwargs(httpx_kwargs)
+        self.http_client = HttpClient(
+            request_retry=request_retry or RequestRetryConfig(), niquests_kwargs=niquests_kwargs
+        )
 
-    def _build_request(self, payload: dict[str, typing.Any]) -> httpx.Request:
-        return self.httpx_client.build_request(
+    def _build_request(self, payload: dict[str, typing.Any]) -> niquests.Request:
+        return niquests.Request(
             method="POST",
             url=str(self.config.url),
             json=payload,
@@ -152,24 +155,17 @@ async def request_llm_message(
             **extra or {},
         ).model_dump(mode="json")
         try:
-            response: typing.Final = await make_http_request(
-                httpx_client=self.httpx_client,
-                request_retry=self.request_retry,
-                build_request=lambda: self._build_request(payload),
-            )
-        except httpx.HTTPStatusError as exception:
-            _handle_status_error(status_code=exception.response.status_code, content=exception.response.content)
-        try:
-            return ChatCompletionsNotStreamingResponse.model_validate_json(response.content).choices[0].message.content
-        finally:
-            await response.aclose()
+            response: typing.Final = await self.http_client.request(self._build_request(payload))
+        except HttpStatusError as exception:
+            _handle_status_error(exception)
+        return ChatCompletionsNotStreamingResponse.model_validate_json(response).choices[0].message.content
 
-    async def _iter_partial_responses(self, response: httpx.Response) -> typing.AsyncIterable[str]:
+    async def _iter_partial_responses(self, response: typing.AsyncIterable[bytes]) -> typing.AsyncIterable[str]:
         text_chunks: typing.Final = []
-        async for event in httpx_sse.EventSource(response).aiter_sse():
-            if event.data == "[DONE]":
+        async for one_event in parse_sse_events(response):
+            if one_event.data == "[DONE]":
                 break
-            validated_response = ChatCompletionsStreamingEvent.model_validate_json(event.data)
+            validated_response = ChatCompletionsStreamingEvent.model_validate_json(one_event.data)
             if not (one_chunk := validated_response.choices[0].delta.content):
                 continue
             text_chunks.append(one_chunk)
@@ -187,19 +183,13 @@ async def stream_llm_partial_messages(
             **extra or {},
         ).model_dump(mode="json")
         try:
-            async with make_streaming_http_request(
-                httpx_client=self.httpx_client,
-                request_retry=self.request_retry,
-                build_request=lambda: self._build_request(payload),
-            ) as response:
+            async with self.http_client.stream(request=self._build_request(payload)) as response:
                 yield self._iter_partial_responses(response)
-        except httpx.HTTPStatusError as exception:
-            content: typing.Final = await exception.response.aread()
-            await exception.response.aclose()
-            _handle_status_error(status_code=exception.response.status_code, content=content)
+        except HttpStatusError as exception:
+            _handle_status_error(exception)
 
     async def __aenter__(self) -> typing_extensions.Self:
-        await self.httpx_client.__aenter__()
+        await self.http_client.__aenter__()
         return self
 
     async def __aexit__(
@@ -208,4 +198,4 @@ async def __aexit__(
         exc_value: BaseException | None,
         traceback: types.TracebackType | None,
     ) -> None:
-        await self.httpx_client.__aexit__(exc_type=exc_type, exc_value=exc_value, traceback=traceback)
+        await self.http_client.__aexit__(exc_type=exc_type, exc_value=exc_value, traceback=traceback)

any_llm_client/clients/yandexgpt.py

@@ -6,12 +6,12 @@
 from http import HTTPStatus
 
 import annotated_types
-import httpx
+import niquests
 import pydantic
 import typing_extensions
 
 from any_llm_client.core import LLMClient, LLMConfig, LLMError, Message, OutOfTokensOrSymbolsError, UserMessage
-from any_llm_client.http import get_http_client_from_kwargs, make_http_request, make_streaming_http_request
+from any_llm_client.http import HttpClient, HttpStatusError
 from any_llm_client.retry import RequestRetryConfig
 
 
@@ -61,34 +61,34 @@ class YandexGPTResponse(pydantic.BaseModel):
     result: YandexGPTResult
 
 
-def _handle_status_error(*, status_code: int, content: bytes) -> typing.NoReturn:
-    if status_code == HTTPStatus.BAD_REQUEST and (
-        b"number of input tokens must be no more than" in content
-        or (b"text length is" in content and b"which is outside the range" in content)
+def _handle_status_error(error: HttpStatusError) -> typing.NoReturn:
+    if error.status_code == HTTPStatus.BAD_REQUEST and (
+        b"number of input tokens must be no more than" in error.content
+        or (b"text length is" in error.content and b"which is outside the range" in error.content)
     ):
-        raise OutOfTokensOrSymbolsError(response_content=content)
-    raise LLMError(response_content=content)
+        raise OutOfTokensOrSymbolsError(response_content=error.content)
+    raise LLMError(response_content=error.content)
 
 
 @dataclasses.dataclass(slots=True, init=False)
 class YandexGPTClient(LLMClient):
     config: YandexGPTConfig
-    httpx_client: httpx.AsyncClient
-    request_retry: RequestRetryConfig
+    http_client: HttpClient
 
     def __init__(
         self,
         config: YandexGPTConfig,
         *,
         request_retry: RequestRetryConfig | None = None,
-        **httpx_kwargs: typing.Any,  # noqa: ANN401
+        **niquests_kwargs: typing.Any,  # noqa: ANN401
     ) -> None:
         self.config = config
-        self.request_retry = request_retry or RequestRetryConfig()
-        self.httpx_client = get_http_client_from_kwargs(httpx_kwargs)
+        self.http_client = HttpClient(
+            request_retry=request_retry or RequestRetryConfig(), niquests_kwargs=niquests_kwargs
+        )
 
-    def _build_request(self, payload: dict[str, typing.Any]) -> httpx.Request:
-        return self.httpx_client.build_request(
+    def _build_request(self, payload: dict[str, typing.Any]) -> niquests.Request:
+        return niquests.Request(
             method="POST",
             url=str(self.config.url),
             json=payload,
@@ -121,18 +121,14 @@ async def request_llm_message(
         )
 
         try:
-            response: typing.Final = await make_http_request(
-                httpx_client=self.httpx_client,
-                request_retry=self.request_retry,
-                build_request=lambda: self._build_request(payload),
-            )
-        except httpx.HTTPStatusError as exception:
-            _handle_status_error(status_code=exception.response.status_code, content=exception.response.content)
-
-        return YandexGPTResponse.model_validate_json(response.content).result.alternatives[0].message.text
-
-    async def _iter_completion_messages(self, response: httpx.Response) -> typing.AsyncIterable[str]:
-        async for one_line in response.aiter_lines():
+            response: typing.Final = await self.http_client.request(self._build_request(payload))
+        except HttpStatusError as exception:
+            _handle_status_error(exception)
+
+        return YandexGPTResponse.model_validate_json(response).result.alternatives[0].message.text
+
+    async def _iter_completion_messages(self, response: typing.AsyncIterable[bytes]) -> typing.AsyncIterable[str]:
+        async for one_line in response:
             validated_response = YandexGPTResponse.model_validate_json(one_line)
             yield validated_response.result.alternatives[0].message.text
 
@@ -145,19 +141,13 @@ async def stream_llm_partial_messages(
         )
 
         try:
-            async with make_streaming_http_request(
-                httpx_client=self.httpx_client,
-                request_retry=self.request_retry,
-                build_request=lambda: self._build_request(payload),
-            ) as response:
+            async with self.http_client.stream(request=self._build_request(payload)) as response:
                 yield self._iter_completion_messages(response)
-        except httpx.HTTPStatusError as exception:
-            content: typing.Final = await exception.response.aread()
-            await exception.response.aclose()
-            _handle_status_error(status_code=exception.response.status_code, content=content)
+        except HttpStatusError as exception:
+            _handle_status_error(exception)
 
     async def __aenter__(self) -> typing_extensions.Self:
-        await self.httpx_client.__aenter__()
+        await self.http_client.__aenter__()
         return self
 
     async def __aexit__(
@@ -166,4 +156,4 @@ async def __aexit__(
         exc_value: BaseException | None,
         traceback: types.TracebackType | None,
     ) -> None:
-        await self.httpx_client.__aexit__(exc_type=exc_type, exc_value=exc_value, traceback=traceback)
+        await self.http_client.__aexit__(exc_type=exc_type, exc_value=exc_value, traceback=traceback)

any_llm_client/core.py

@@ -48,18 +48,6 @@ def AssistantMessage(text: str) -> Message:  # noqa: N802
         return Message(role=MessageRole.assistant, text=text)
 
 
-@dataclasses.dataclass
-class LLMError(Exception):
-    response_content: bytes
-
-    def __str__(self) -> str:
-        return self.__repr__().removeprefix(self.__class__.__name__)
-
-
-@dataclasses.dataclass
-class OutOfTokensOrSymbolsError(LLMError): ...
-
-
 class LLMConfig(pydantic.BaseModel):
     model_config = pydantic.ConfigDict(protected_namespaces=())
     api_type: str
@@ -83,3 +71,15 @@ async def __aexit__(
         exc_value: BaseException | None,
         traceback: types.TracebackType | None,
     ) -> None: ...
+
+
+@dataclasses.dataclass
+class LLMError(Exception):
+    response_content: bytes
+
+    def __str__(self) -> str:
+        return self.__repr__().removeprefix(self.__class__.__name__)
+
+
+@dataclasses.dataclass
+class OutOfTokensOrSymbolsError(LLMError): ...