From 26906ce2e3832fdcdb33c33a1c1af9e0011260e7 Mon Sep 17 00:00:00 2001 From: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com> Date: Fri, 20 Sep 2024 15:44:57 -0700 Subject: [PATCH 1/2] [Python] Support stream responses --- python/langsmith/run_helpers.py | 432 ++++++++++++++---- python/langsmith/wrappers/_openai.py | 5 - .../integration_tests/wrappers/test_openai.py | 4 + python/tests/unit_tests/test_run_helpers.py | 125 ++++- 4 files changed, 473 insertions(+), 93 deletions(-) diff --git a/python/langsmith/run_helpers.py b/python/langsmith/run_helpers.py index fe933bda7..6da368a06 100644 --- a/python/langsmith/run_helpers.py +++ b/python/langsmith/run_helpers.py @@ -16,11 +16,13 @@ TYPE_CHECKING, Any, AsyncGenerator, + AsyncIterator, Awaitable, Callable, Dict, Generator, Generic, + Iterator, List, Mapping, Optional, @@ -90,13 +92,6 @@ def get_tracing_context( return {k: context.get(v) for k, v in _CONTEXT_KEYS.items()} -def _set_tracing_context(context: Dict[str, Any]): - """Set the tracing context.""" - for k, v in context.items(): - var = _CONTEXT_KEYS[k] - var.set(v) - - @contextlib.contextmanager def tracing_context( *, @@ -465,19 +460,9 @@ def manual_extra_function(x): invocation_params_fn=kwargs.pop("_invocation_params_fn", None), ) outputs_processor = kwargs.pop("process_outputs", None) - - def _on_run_end( - container: _TraceableContainer, - outputs: Optional[Any] = None, - error: Optional[BaseException] = None, - ) -> None: - """Handle the end of run.""" - try: - if outputs_processor is not None: - outputs = outputs_processor(outputs) - _container_end(container, outputs=outputs, error=error) - except BaseException as e: - LOGGER.warning(f"Unable to process trace outputs: {repr(e)}") + _on_run_end = functools.partial( + _handle_container_end, outputs_processor=outputs_processor + ) if kwargs: warnings.warn( @@ -570,34 +555,19 @@ async def async_generator_wrapper( **get_tracing_context(run_container["context"]) ): async_gen_result = await async_gen_result - try: - while True: - if accepts_context: - item = await asyncio.create_task( # type: ignore[call-arg, var-annotated] - aitertools.py_anext(async_gen_result), # type: ignore[arg-type] - context=run_container["context"], - ) - else: - # Python < 3.11 - with tracing_context( - **get_tracing_context(run_container["context"]) - ): - item = await aitertools.py_anext(async_gen_result) - if run_type == "llm": - if run_container["new_run"]: - run_container["new_run"].add_event( - { - "name": "new_token", - "time": datetime.datetime.now( - datetime.timezone.utc - ).isoformat(), - "kwargs": {"token": item}, - } - ) - results.append(item) - yield item - except StopAsyncIteration: - pass + + async for item in _process_async_iterator( + generator=async_gen_result, + run_container=run_container, + is_llm_run=( + run_container["new_run"].run_type == "llm" + if run_container["new_run"] + else False + ), + accepts_context=accepts_context, + results=results, + ): + yield item except BaseException as e: await asyncio.shield( aitertools.aio_to_thread(_on_run_end, run_container, error=e) @@ -663,45 +633,28 @@ def generator_wrapper( ) results: List[Any] = [] function_return: Any = None + try: if func_accepts_parent_run: kwargs["run_tree"] = run_container["new_run"] - # TODO: Nesting is ambiguous if a nested traceable function is only - # called mid-generation. Need to explicitly accept run_tree to get - # around this. if not func_accepts_config: kwargs.pop("config", None) generator_result = run_container["context"].run(func, *args, **kwargs) - try: - while True: - item = run_container["context"].run(next, generator_result) - if run_type == "llm": - if run_container["new_run"]: - run_container["new_run"].add_event( - { - "name": "new_token", - "time": datetime.datetime.now( - datetime.timezone.utc - ).isoformat(), - "kwargs": {"token": item}, - } - ) - results.append(item) - try: - yield item - except GeneratorExit: - break - except StopIteration as e: - function_return = e.value - if function_return is not None: - # In 99% of cases, people yield OR return; to keep - # backwards compatibility, we'll only return if there's - # return value is non-null. - results.append(function_return) + + function_return = yield from _process_iterator( + generator_result, + run_container, + is_llm_run=run_type == "llm", + results=results, + ) + + if function_return is not None: + results.append(function_return) except BaseException as e: _on_run_end(run_container, error=e) raise e + if results: if reduce_fn: try: @@ -716,17 +669,88 @@ def generator_wrapper( _on_run_end(run_container, outputs=function_result) return function_return + # "Stream" functions (used in methods like OpenAI/Anthropic's SDKs) + # are functions that return iterable responses and should not be + # considered complete until the streaming is completed + @functools.wraps(func) + def stream_wrapper( + *args: Any, langsmith_extra: Optional[LangSmithExtra] = None, **kwargs: Any + ) -> Any: + trace_container = _setup_run( + func, + container_input=container_input, + langsmith_extra=langsmith_extra, + args=args, + kwargs=kwargs, + ) + + try: + if func_accepts_parent_run: + kwargs["run_tree"] = trace_container["new_run"] + if not func_accepts_config: + kwargs.pop("config", None) + stream = trace_container["context"].run(func, *args, **kwargs) + except Exception as e: + _on_run_end(trace_container, error=e) + raise + + if hasattr(stream, "__iter__"): + return _TracedStream(stream, trace_container, reduce_fn) + elif hasattr(stream, "__aiter__"): + # sync function -> async iterable (unexpected) + return _TracedAsyncStream(stream, trace_container, reduce_fn) + + # If it's not iterable, end the trace immediately + _on_run_end(trace_container, outputs=stream) + return stream + + @functools.wraps(func) + async def async_stream_wrapper( + *args: Any, langsmith_extra: Optional[LangSmithExtra] = None, **kwargs: Any + ) -> Any: + trace_container = await aitertools.aio_to_thread( + _setup_run, + func, + container_input=container_input, + langsmith_extra=langsmith_extra, + args=args, + kwargs=kwargs, + ) + + try: + if func_accepts_parent_run: + kwargs["run_tree"] = trace_container["new_run"] + if not func_accepts_config: + kwargs.pop("config", None) + stream = await func(*args, **kwargs) + except Exception as e: + await aitertools.aio_to_thread(_on_run_end, trace_container, error=e) + raise + + if hasattr(stream, "__aiter__"): + return _TracedAsyncStream(stream, trace_container, reduce_fn) + elif hasattr(stream, "__iter__"): + # Async function -> sync iterable + return _TracedStream(stream, trace_container, reduce_fn) + + # If it's not iterable, end the trace immediately + await aitertools.aio_to_thread(_on_run_end, trace_container, outputs=stream) + return stream + if inspect.isasyncgenfunction(func): selected_wrapper: Callable = async_generator_wrapper + elif inspect.isgeneratorfunction(func): + selected_wrapper = generator_wrapper elif is_async(func): if reduce_fn: - selected_wrapper = async_generator_wrapper + selected_wrapper = async_stream_wrapper else: selected_wrapper = async_wrapper - elif reduce_fn or inspect.isgeneratorfunction(func): - selected_wrapper = generator_wrapper else: - selected_wrapper = wrapper + if reduce_fn: + selected_wrapper = stream_wrapper + else: + selected_wrapper = wrapper setattr(selected_wrapper, "__langsmith_traceable__", True) sig = inspect.signature(selected_wrapper) if not sig.parameters.get("config"): @@ -1154,7 +1178,6 @@ async def awrap_traceable(inputs: dict, config: RunnableConfig) -> Any: ## Private Methods and Objects - _VALID_RUN_TYPES = { "tool", "chain", @@ -1409,6 +1432,21 @@ def _setup_run( return response_container +def _handle_container_end( + container: _TraceableContainer, + outputs: Optional[Any] = None, + error: Optional[BaseException] = None, + outputs_processor: Optional[Callable[..., dict]] = None, +) -> None: + """Handle the end of run.""" + try: + if outputs_processor is not None: + outputs = outputs_processor(outputs) + _container_end(container, outputs=outputs, error=error) + except BaseException as e: + LOGGER.warning(f"Unable to process trace outputs: {repr(e)}") + + def _is_traceable_function(func: Callable) -> bool: return getattr(func, "__langsmith_traceable__", False) @@ -1441,3 +1479,233 @@ def _get_inputs_safe( except BaseException as e: LOGGER.debug(f"Failed to get inputs for {signature}: {e}") return {"args": args, "kwargs": kwargs} + + +def _set_tracing_context(context: Dict[str, Any]): + """Set the tracing context.""" + for k, v in context.items(): + var = _CONTEXT_KEYS[k] + var.set(v) + + +def _process_iterator( + generator: Iterator[T], + run_container: _TraceableContainer, + is_llm_run: bool, + # Results is mutated + results: List[Any], +) -> Generator[T, None, Any]: + try: + while True: + item = run_container["context"].run(next, generator) + if is_llm_run and run_container["new_run"]: + run_container["new_run"].add_event( + { + "name": "new_token", + "time": datetime.datetime.now( + datetime.timezone.utc + ).isoformat(), + "kwargs": {"token": item}, + } + ) + results.append(item) + yield item + except StopIteration as e: + return e.value + + +async def _process_async_iterator( + generator: AsyncIterator[T], + run_container: _TraceableContainer, + *, + is_llm_run: bool, + accepts_context: bool, + results: List[Any], +) -> AsyncGenerator[T, None]: + try: + while True: + if accepts_context: + item = await asyncio.create_task( # type: ignore[call-arg, var-annotated] + aitertools.py_anext(generator), # type: ignore[arg-type] + context=run_container["context"], + ) + else: + # Python < 3.11 + with tracing_context(**get_tracing_context(run_container["context"])): + item = await aitertools.py_anext(generator) + if is_llm_run and run_container["new_run"]: + run_container["new_run"].add_event( + { + "name": "new_token", + "time": datetime.datetime.now( + datetime.timezone.utc + ).isoformat(), + "kwargs": {"token": item}, + } + ) + results.append(item) + yield item + except StopAsyncIteration: + pass + + +T = TypeVar("T") + + +class _TracedStreamBase(Generic[T]): + """Base class for traced stream objects.""" + + def __init__( + self, + stream: Union[Iterator[T], AsyncIterator[T]], + trace_container: _TraceableContainer, + reduce_fn: Optional[Callable] = None, + ): + self.__ls_stream__ = stream + self.__ls_trace_container__ = trace_container + self.__ls_completed__ = False + self.__ls_reduce_fn__ = reduce_fn + self.__ls_accumulated_output__: list[T] = [] + self.__is_llm_run__ = ( + trace_container["new_run"].run_type == "llm" + if trace_container["new_run"] + else False + ) + + def __getattr__(self, name: str): + return getattr(self.__ls_stream__, name) + + def __dir__(self): + return list(set(dir(self.__class__) + dir(self.__ls_stream__))) + + def __repr__(self): + return f"Traceable({self.__ls_stream__!r})" + + def __str__(self): + return str(self.__ls_stream__) + + def __del__(self): + try: + if not self.__ls_completed__: + self._end_trace() + except BaseException: + pass + try: + self.__ls_stream__.__del__() + except BaseException: + pass + + def _end_trace(self, error: Optional[BaseException] = None): + if self.__ls_completed__: + return + try: + if self.__ls_reduce_fn__: + reduced_output = self.__ls_reduce_fn__(self.__ls_accumulated_output__) + else: + reduced_output = self.__ls_accumulated_output__ + _container_end( + self.__ls_trace_container__, outputs=reduced_output, error=error + ) + finally: + self.__ls_completed__ = True + + +class _TracedStream(_TracedStreamBase, Generic[T]): + """A wrapper for synchronous stream objects that handles tracing.""" + + def __init__( + self, + stream: Iterator[T], + trace_container: _TraceableContainer, + reduce_fn: Optional[Callable] = None, + ): + super().__init__( + stream=stream, trace_container=trace_container, reduce_fn=reduce_fn + ) + self.__ls_stream__ = stream + self.__ls__gen__ = _process_iterator( + self.__ls_stream__, + self.__ls_trace_container__, + is_llm_run=self.__is_llm_run__, + results=self.__ls_accumulated_output__, + ) + + def __next__(self) -> T: + try: + return next(self.__ls__gen__) + except StopIteration: + self._end_trace() + raise + + def __iter__(self) -> Iterator[T]: + try: + yield from self.__ls__gen__ + except BaseException as e: + self._end_trace(error=e) + raise + else: + self._end_trace() + + def __enter__(self): + return self.__ls_stream__.__enter__() + + def __exit__(self, exc_type, exc_val, exc_tb): + try: + return self.__ls_stream__.__exit__(exc_type, exc_val, exc_tb) + finally: + self._end_trace(error=exc_val if exc_type else None) + + +class _TracedAsyncStream(_TracedStreamBase, Generic[T]): + """A wrapper for asynchronous stream objects that handles tracing.""" + + def __init__( + self, + stream: AsyncIterator[T], + trace_container: _TraceableContainer, + reduce_fn: Optional[Callable] = None, + ): + super().__init__( + stream=stream, trace_container=trace_container, reduce_fn=reduce_fn + ) + self.__ls_stream__ = stream + self.__ls_gen = _process_async_iterator( + generator=self.__ls_stream__, + run_container=self.__ls_trace_container__, + is_llm_run=self.__is_llm_run__, + accepts_context=aitertools.asyncio_accepts_context(), + results=self.__ls_accumulated_output__, + ) + + async def _aend_trace(self, error: Optional[BaseException] = None): + ctx = copy_context() + await asyncio.shield( + aitertools.aio_to_thread(self._end_trace, error, __ctx=ctx) + ) + _set_tracing_context(get_tracing_context(ctx)) + + async def __anext__(self) -> T: + try: + return cast(T, await aitertools.py_anext(self.__ls_gen)) + except StopAsyncIteration: + await self._aend_trace() + raise + + async def __aiter__(self) -> AsyncIterator[T]: + try: + async for item in self.__ls_gen: + yield item + except BaseException: + await self._aend_trace() + raise + else: + await self._aend_trace() + + async def __aenter__(self): + return await self.__ls_stream__.__aenter__() + + async def __aexit__(self, exc_type, exc_val, exc_tb): + try: + return await self.__ls_stream__.__aexit__(exc_type, exc_val, exc_tb) + finally: + await self._aend_trace() diff --git a/python/langsmith/wrappers/_openai.py b/python/langsmith/wrappers/_openai.py index 663c3c3f1..014d364cd 100644 --- a/python/langsmith/wrappers/_openai.py +++ b/python/langsmith/wrappers/_openai.py @@ -193,11 +193,6 @@ async def acreate(*args, stream: bool = False, **kwargs): _invocation_params_fn=invocation_params_fn, **textra, ) - if stream: - # TODO: This slightly alters the output to be a generator instead of the - # stream object. We can probably fix this with a bit of simple changes - res = decorator(original_create)(*args, stream=stream, **kwargs) - return res return await decorator(original_create)(*args, stream=stream, **kwargs) return acreate if run_helpers.is_async(original_create) else create diff --git a/python/tests/integration_tests/wrappers/test_openai.py b/python/tests/integration_tests/wrappers/test_openai.py index d12e77da6..32dcd85c2 100644 --- a/python/tests/integration_tests/wrappers/test_openai.py +++ b/python/tests/integration_tests/wrappers/test_openai.py @@ -114,6 +114,8 @@ def test_completions_sync_api(mock_session: mock.MagicMock, stream: bool): patched_chunks = list(patched) assert len(original_chunks) == len(patched_chunks) assert [o.choices == p.choices for o, p in zip(original_chunks, patched_chunks)] + assert original.response + assert patched.response else: assert type(original) == type(patched) assert original.choices == patched.choices @@ -165,6 +167,8 @@ async def test_completions_async_api(mock_session: mock.MagicMock, stream: bool) patched_chunks.append(chunk) assert len(original_chunks) == len(patched_chunks) assert [o.choices == p.choices for o, p in zip(original_chunks, patched_chunks)] + assert original.response + assert patched.response else: assert type(original) == type(patched) assert original.choices == patched.choices diff --git a/python/tests/unit_tests/test_run_helpers.py b/python/tests/unit_tests/test_run_helpers.py index a0bff6bba..2f48dbff7 100644 --- a/python/tests/unit_tests/test_run_helpers.py +++ b/python/tests/unit_tests/test_run_helpers.py @@ -16,6 +16,7 @@ from langsmith import Client from langsmith import schemas as ls_schemas from langsmith import utils as ls_utils +from langsmith._internal import _aiter as aitertools from langsmith.run_helpers import ( _get_inputs, as_runnable, @@ -32,7 +33,7 @@ def _get_calls( mock_client: Any, minimum: Optional[int] = 0, verbs: Set[str] = {"POST"}, - attempts: int = 5, + attempts: int = 10, ) -> list: calls = [] for _ in range(attempts): @@ -200,29 +201,38 @@ def mock_client() -> Client: @pytest.mark.parametrize("use_next", [True, False]) -def test_traceable_iterator(use_next: bool, mock_client: Client) -> None: +@pytest.mark.parametrize("return_val", [None, "foo"]) +def test_traceable_iterator( + use_next: bool, return_val: Optional[str], mock_client: Client +) -> None: with tracing_context(enabled=True): @traceable(client=mock_client) - def my_iterator_fn(a, b, d, **kwargs): + def my_iterator_fn(a, b, d, **kwargs) -> Any: assert kwargs == {"e": 5} for i in range(a + b + d): yield i + return return_val expected = [0, 1, 2, 3, 4, 5] + if return_val is not None: + expected.append(return_val) genout = my_iterator_fn(1, 2, 3, e=5) if use_next: results = [] while True: try: results.append(next(genout)) - except StopIteration: + except StopIteration as e: + assert e.value == return_val + if e.value is not None: + results.append(e.value) break else: results = list(genout) + if return_val is not None: + results.append(return_val) assert results == expected - # Wait for batcher - # check the mock_calls mock_calls = _get_calls(mock_client, minimum=1) assert 1 <= len(mock_calls) <= 2 @@ -235,6 +245,109 @@ def my_iterator_fn(a, b, d, **kwargs): assert body["post"][0]["outputs"]["output"] == expected +class MyStreamObject: + def __init__(self, some_values: list): + self.vals = some_values + self._iter = iter(self.vals) + + def __next__(self): + return next(self._iter) + + def __iter__(self): + yield from self.vals + + +class MyAsyncStreamObject: + def __init__(self, some_values: list): + self.vals = some_values + + async def iter(): + for val in some_values: + yield val + + self._iter = iter() + + async def __anext__(self): + return await aitertools.py_anext(self._iter) + + async def __aiter__(self): + async for val in self._iter: + yield val + + +@pytest.mark.parametrize("use_next", [True, False]) +@pytest.mark.parametrize("response_type", ["async", "async"]) +async def test_traceable_stream( + use_next: bool, response_type: str, mock_client: Client +) -> None: + def reduce_fn(results: list): + return {"my_output": results} + + @traceable(client=mock_client, reduce_fn=reduce_fn) + def my_stream_fn(a, b, d, **kwargs): + assert kwargs == {"e": 5} + vals = [0, 1, 2, 3, 4, 5] + if response_type == "sync": + return MyStreamObject(vals) + else: + return MyAsyncStreamObject(vals) + + with tracing_context(enabled=True): + expected = [0, 1, 2, 3, 4, 5] + genout = my_stream_fn(1, 2, 3, e=5) + # assert getattr(genout, "vals") == expected + if use_next: + results = [] + if response_type == "sync": + while True: + try: + results.append(next(genout)) + except StopIteration: + break + else: + while True: + try: + results.append(await aitertools.py_anext(genout)) + except StopAsyncIteration: + break + + else: + if response_type == "sync": + results = list(genout) + else: + results = [r async for r in genout] + assert results == expected + # check the mock_calls + mock_calls = _get_calls(mock_client, minimum=1) + assert 1 <= len(mock_calls) <= 2 + + call = mock_calls[0] + assert call.args[0] == "POST" + assert call.args[1].startswith("https://api.smith.langchain.com") + call_data = [json.loads(mock_call.kwargs["data"]) for mock_call in mock_calls] + body = call_data[0] + assert body["post"] + assert body["post"][0]["name"] == "my_stream_fn" + if body["post"][0]["outputs"]: + assert body["post"][0]["outputs"] == {"my_output": expected} + else: + first_patch = next((d for d in call_data if d.get("patch")), None) + attempt = 0 + while first_patch is None: + time.sleep(0.2) + if attempt > 2: + assert False, "Could not get patch" + mock_calls = _get_calls(mock_client, minimum=1) + call_data = [ + json.loads(mock_call.kwargs["data"]) for mock_call in mock_calls + ] + first_patch = next((d for d in call_data if d.get("patch")), None) + attempt += 1 + + assert first_patch["name"] == "my_stream_fn" + assert first_patch[0]["outputs"] == {"my_output": expected} + + @pytest.mark.parametrize("use_next", [True, False]) async def test_traceable_async_iterator(use_next: bool, mock_client: Client) -> None: with tracing_context(enabled=True): From 146f674908c4d636c7f084af3480da930f81af0f Mon Sep 17 00:00:00 2001 From: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com> Date: Fri, 20 Sep 2024 17:43:47 -0700 Subject: [PATCH 2/2] Update lockfile --- python/poetry.lock | 245 +++++++++++++++++++++++---------------------- 1 file changed, 124 insertions(+), 121 deletions(-) diff --git a/python/poetry.lock b/python/poetry.lock index 6e5d050e2..2fc4fa4b7 100644 --- a/python/poetry.lock +++ b/python/poetry.lock @@ -16,13 +16,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""} [[package]] name = "anyio" -version = "4.4.0" +version = "4.5.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false 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