Fix langchain integration (#3921)

* Add optional `parent_span` argument to `POTelSpan` constructor and fix
`start_child`
* `run_id` is reused for the top level pipeline, so make sure to close
that span or else we get orphans
* Don't use context manager enter/exit since we're doing manual span
management
* Set correct statuses while finishing the spans

sentry_sdk/ai/monitoring.py

@@ -3,7 +3,7 @@
 
 import sentry_sdk.utils
 from sentry_sdk import start_span
-from sentry_sdk.tracing import Span
+from sentry_sdk.tracing import POTelSpan as Span
 from sentry_sdk.utils import ContextVar
 
 from typing import TYPE_CHECKING

sentry_sdk/ai/utils.py

@@ -3,7 +3,7 @@
 if TYPE_CHECKING:
     from typing import Any
 
-from sentry_sdk.tracing import Span
+from sentry_sdk.tracing import POTelSpan as Span
 from sentry_sdk.utils import logger
 
 

sentry_sdk/integrations/langchain.py

@@ -3,10 +3,10 @@
 
 import sentry_sdk
 from sentry_sdk.ai.monitoring import set_ai_pipeline_name, record_token_usage
-from sentry_sdk.consts import OP, SPANDATA
+from sentry_sdk.consts import OP, SPANDATA, SPANSTATUS
 from sentry_sdk.ai.utils import set_data_normalized
 from sentry_sdk.scope import should_send_default_pii
-from sentry_sdk.tracing import Span
+from sentry_sdk.tracing import POTelSpan as Span
 from sentry_sdk.integrations import DidNotEnable, Integration
 from sentry_sdk.utils import logger, capture_internal_exceptions
 
@@ -72,7 +72,6 @@ def setup_once():
 
 
 class WatchedSpan:
-    span = None  # type: Span
     num_completion_tokens = 0  # type: int
     num_prompt_tokens = 0  # type: int
     no_collect_tokens = False  # type: bool
@@ -123,8 +122,9 @@ def _handle_error(self, run_id, error):
         span_data = self.span_map[run_id]
         if not span_data:
             return
-        sentry_sdk.capture_exception(error, span_data.span.scope)
-        span_data.span.__exit__(None, None, None)
+        sentry_sdk.capture_exception(error)
+        span_data.span.set_status(SPANSTATUS.INTERNAL_ERROR)
+        span_data.span.finish()
         del self.span_map[run_id]
 
     def _normalize_langchain_message(self, message):
@@ -136,23 +136,27 @@ def _normalize_langchain_message(self, message):
     def _create_span(self, run_id, parent_id, **kwargs):
         # type: (SentryLangchainCallback, UUID, Optional[Any], Any) -> WatchedSpan
 
-        watched_span = None  # type: Optional[WatchedSpan]
-        if parent_id:
-            parent_span = self.span_map.get(parent_id)  # type: Optional[WatchedSpan]
-            if parent_span:
-                watched_span = WatchedSpan(parent_span.span.start_child(**kwargs))
-                parent_span.children.append(watched_span)
-        if watched_span is None:
-            watched_span = WatchedSpan(
-                sentry_sdk.start_span(only_if_parent=True, **kwargs)
-            )
+        parent_watched_span = self.span_map.get(parent_id) if parent_id else None
+        sentry_span = sentry_sdk.start_span(
+            parent_span=parent_watched_span.span if parent_watched_span else None,
+            only_if_parent=True,
+            **kwargs,
+        )
+        watched_span = WatchedSpan(sentry_span)
+        if parent_watched_span:
+            parent_watched_span.children.append(watched_span)
 
         if kwargs.get("op", "").startswith("ai.pipeline."):
             if kwargs.get("name"):
                 set_ai_pipeline_name(kwargs.get("name"))
             watched_span.is_pipeline = True
 
-        watched_span.span.__enter__()
+        # the same run_id is reused for the pipeline it seems
+        # so we need to end the older span to avoid orphan spans
+        existing_span_data = self.span_map.get(run_id)
+        if existing_span_data is not None:
+            self._exit_span(existing_span_data, run_id)
+
         self.span_map[run_id] = watched_span
         self.gc_span_map()
         return watched_span
@@ -163,7 +167,8 @@ def _exit_span(self, span_data, run_id):
         if span_data.is_pipeline:
             set_ai_pipeline_name(None)
 
-        span_data.span.__exit__(None, None, None)
+        span_data.span.set_status(SPANSTATUS.OK)
+        span_data.span.finish()
         del self.span_map[run_id]
 
     def on_llm_start(

sentry_sdk/integrations/opentelemetry/span_processor.py

@@ -291,3 +291,17 @@ def _common_span_transaction_attributes_as_json(self, span):
             common_json["tags"] = tags
 
         return common_json
+
+    def _log_debug_info(self):
+        # type: () -> None
+        import pprint
+
+        pprint.pprint(
+            {
+                format_span_id(span_id): [
+                    (format_span_id(child.context.span_id), child.name)
+                    for child in children
+                ]
+                for span_id, children in self._children_spans.items()
+            }
+        )

sentry_sdk/tracing.py

@@ -1213,6 +1213,7 @@ def __init__(
         source=TRANSACTION_SOURCE_CUSTOM,  # type: str
         attributes=None,  # type: OTelSpanAttributes
         only_if_parent=False,  # type: bool
+        parent_span=None,  # type: Optional[POTelSpan]
         otel_span=None,  # type: Optional[OtelSpan]
         **_,  # type: dict[str, object]
     ):
@@ -1231,7 +1232,7 @@ def __init__(
             self._otel_span = otel_span
         else:
             skip_span = False
-            if only_if_parent:
+            if only_if_parent and parent_span is None:
                 parent_span_context = get_current_span().get_span_context()
                 skip_span = (
                     not parent_span_context.is_valid or parent_span_context.is_remote
@@ -1262,8 +1263,17 @@ def __init__(
                 if sampled is not None:
                     attributes[SentrySpanAttribute.CUSTOM_SAMPLED] = sampled
 
+                parent_context = None
+                if parent_span is not None:
+                    parent_context = otel_trace.set_span_in_context(
+                        parent_span._otel_span
+                    )
+
                 self._otel_span = tracer.start_span(
-                    span_name, start_time=start_timestamp, attributes=attributes
+                    span_name,
+                    context=parent_context,
+                    start_time=start_timestamp,
+                    attributes=attributes,
                 )
 
                 self.origin = origin or DEFAULT_SPAN_ORIGIN
@@ -1506,10 +1516,7 @@ def timestamp(self):
 
     def start_child(self, **kwargs):
         # type: (**Any) -> POTelSpan
-        kwargs.setdefault("sampled", self.sampled)
-
-        span = POTelSpan(only_if_parent=True, **kwargs)
-        return span
+        return POTelSpan(sampled=self.sampled, parent_span=self, **kwargs)
 
     def iter_headers(self):
         # type: () -> Iterator[Tuple[str, str]]

tests/integrations/langchain/test_langchain.py

@@ -187,17 +187,11 @@ def test_langchain_agent(
         assert "measurements" not in chat_spans[0]
 
     if send_default_pii and include_prompts:
-        assert (
-            "You are very powerful"
-            in chat_spans[0]["data"]["ai.input_messages"][0]["content"]
-        )
+        assert "You are very powerful" in chat_spans[0]["data"]["ai.input_messages"]
         assert "5" in chat_spans[0]["data"]["ai.responses"]
         assert "word" in tool_exec_span["data"]["ai.input_messages"]
         assert 5 == int(tool_exec_span["data"]["ai.responses"])
-        assert (
-            "You are very powerful"
-            in chat_spans[1]["data"]["ai.input_messages"][0]["content"]
-        )
+        assert "You are very powerful" in chat_spans[1]["data"]["ai.input_messages"]
         assert "5" in chat_spans[1]["data"]["ai.responses"]
     else:
         assert "ai.input_messages" not in chat_spans[0].get("data", {})