fix(anthropic): Patch AsyncStream.close() and AsyncMessageStream.close() to finish spans

sentry_sdk/integrations/anthropic.py

@@ -43,6 +43,7 @@
         MessageStreamManager,
         MessageStream,
         AsyncMessageStreamManager,
+        AsyncMessageStream,
     )
 
     from anthropic.types import (
@@ -60,7 +61,15 @@
     raise DidNotEnable("Anthropic not installed")
 
 if TYPE_CHECKING:
-    from typing import Any, AsyncIterator, Iterator, Optional, Union, Callable
+    from typing import (
+        Any,
+        AsyncIterator,
+        Iterator,
+        Optional,
+        Union,
+        Callable,
+        Awaitable,
+    )
     from sentry_sdk.tracing import Span
     from sentry_sdk._types import TextPart
 
@@ -71,7 +80,6 @@
         TextBlockParam,
         ToolUnionParam,
     )
-    from anthropic.lib.streaming import AsyncMessageStream
 
 
 class _RecordedUsage:
@@ -95,6 +103,7 @@ def setup_once() -> None:
 
         """
         client.messages.create(stream=True) can return an instance of the Stream class, which implements the iterator protocol.
+        Analogously, the function can return an AsyncStream, which implements the asynchronous iterator protocol.
         The private _iterator variable and the close() method are patched. During iteration over the _iterator generator,
         information from intercepted events is accumulated and used to populate output attributes on the AI Client Span.
 
@@ -108,9 +117,11 @@ def setup_once() -> None:
         Stream.close = _wrap_close(Stream.close)
 
         AsyncMessages.create = _wrap_message_create_async(AsyncMessages.create)
+        AsyncStream.close = _wrap_async_close(AsyncStream.close)
 
         """
         client.messages.stream() can return an instance of the MessageStream class, which implements the iterator protocol.
+        Analogously, the function can return an AsyncMessageStream, which implements the asynchronous iterator protocol.
         The private _iterator variable and the close() method are patched. During iteration over the _iterator generator,
         information from intercepted events is accumulated and used to populate output attributes on the AI Client Span.
 
@@ -137,6 +148,11 @@ def setup_once() -> None:
             )
         )
 
+        # Before https://github.com/anthropics/anthropic-sdk-python/commit/b1a1c0354a9aca450a7d512fdbdeb59c0ead688a
+        # AsyncMessageStream inherits from AsyncStream, so patching Stream is sufficient on these versions.
+        if not issubclass(AsyncMessageStream, AsyncStream):
+            AsyncMessageStream.close = _wrap_async_close(AsyncMessageStream.close)
+
 
 def _capture_exception(exc: "Any") -> None:
     set_span_errored()
@@ -475,20 +491,13 @@ def _wrap_synchronous_message_iterator(
 
 
 async def _wrap_asynchronous_message_iterator(
+    stream: "Union[Stream, MessageStream]",
     iterator: "AsyncIterator[Union[RawMessageStreamEvent, MessageStreamEvent]]",
-    span: "Span",
-    integration: "AnthropicIntegration",
 ) -> "AsyncIterator[Union[RawMessageStreamEvent, MessageStreamEvent]]":
     """
     Sets information received while iterating the response stream on the AI Client Span.
-    Responsible for closing the AI Client Span.
+    Responsible for closing the AI Client Span, unless the span has already been closed in the close() patch.
     """
-    model = None
-    usage = _RecordedUsage()
-    content_blocks: "list[str]" = []
-    response_id = None
-    finish_reason = None
-
     try:
         async for event in iterator:
             # Message and content types are aliases for corresponding Raw* types, introduced in
@@ -507,44 +516,21 @@ async def _wrap_asynchronous_message_iterator(
                 yield event
                 continue
 
-            (
-                model,
-                usage,
-                content_blocks,
-                response_id,
-                finish_reason,
-            ) = _collect_ai_data(
-                event,
-                model,
-                usage,
-                content_blocks,
-                response_id,
-                finish_reason,
-            )
+            _accumulate_event_data(stream, event)
             yield event
     finally:
         with capture_internal_exceptions():
-            # Anthropic's input_tokens excludes cached/cache_write tokens.
-            # Normalize to total input tokens for correct cost calculations.
-            total_input = (
-                usage.input_tokens
-                + (usage.cache_read_input_tokens or 0)
-                + (usage.cache_write_input_tokens or 0)
-            )
-
-            _set_output_data(
-                span=span,
-                integration=integration,
-                model=model,
-                input_tokens=total_input,
-                output_tokens=usage.output_tokens,
-                cache_read_input_tokens=usage.cache_read_input_tokens,
-                cache_write_input_tokens=usage.cache_write_input_tokens,
-                content_blocks=[{"text": "".join(content_blocks), "type": "text"}],
-                finish_span=True,
-                response_id=response_id,
-                finish_reason=finish_reason,
-            )
+            if hasattr(stream, "_span"):
+                _finish_streaming_span(
+                    span=stream._span,
+                    integration=stream._integration,
+                    model=stream._model,
+                    usage=stream._usage,
+                    content_blocks=stream._content_blocks,
+                    response_id=stream._response_id,
+                    finish_reason=stream._finish_reason,
+                )
+                del stream._span
 
 
 def _set_output_data(
@@ -643,9 +629,15 @@ def _sentry_patched_create_common(f: "Any", *args: "Any", **kwargs: "Any") -> "A
         return result
 
     if isinstance(result, AsyncStream):
+        result._span = span
+        result._integration = integration
+
+        _initialize_data_accumulation_state(result)
         result._iterator = _wrap_asynchronous_message_iterator(
-            result._iterator, span, integration
+            result,
+            result._iterator,
         )
+
         return result
 
     with capture_internal_exceptions():
@@ -864,6 +856,38 @@ async def _sentry_patched_create_async(*args: "Any", **kwargs: "Any") -> "Any":
     return _sentry_patched_create_async
 
 
+def _wrap_async_close(
+    f: "Callable[..., Awaitable[None]]",
+) -> "Callable[..., Awaitable[None]]":
+    """
+    Closes the AI Client Span, unless the finally block in `_wrap_asynchronous_message_iterator()` runs first.
+    """
+
+    async def close(self: "AsyncStream") -> None:
+        if not hasattr(self, "_span"):
+            return await f(self)
+
+        if not hasattr(self, "_model"):
+            self._span.__exit__(None, None, None)
+            del self._span
+            return await f(self)
+
+        _finish_streaming_span(
+            span=self._span,
+            integration=self._integration,
+            model=self._model,
+            usage=self._usage,
+            content_blocks=self._content_blocks,
+            response_id=self._response_id,
+            finish_reason=self._finish_reason,
+        )
+        del self._span
+
+        return await f(self)
+
+    return close
+
+
 def _wrap_message_stream(f: "Any") -> "Any":
     """
     Attaches user-provided arguments to the returned context manager.
@@ -1020,10 +1044,13 @@ async def _sentry_patched_aenter(
             tools=self._tools,
         )
 
+        stream._span = span
+        stream._integration = integration
+
+        _initialize_data_accumulation_state(stream)
         stream._iterator = _wrap_asynchronous_message_iterator(
-            iterator=stream._iterator,
-            span=span,
-            integration=integration,
+            stream,
+            stream._iterator,
         )
 
         return stream