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ref(langgraph): Drop send_default_pii support #7742

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Merged
alexander-alderman-webb merged 2 commits into from
Sep 29, 2026
Merged

ref(langgraph): Drop send_default_pii support #7742

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a6a873d
ref(langgraph): Drop send_default_pii support
alexander-alderman-webb Sep 29, 2026
755244e
restore cases of test_pregel_ainvoke_gates_inputs_and_outputs_indepen…
alexander-alderman-webb Sep 29, 2026
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66 changes: 27 additions & 39 deletions sentry_sdk/integrations/langgraph.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,9 +11,7 @@

# This is fine because langgraph depends on langchain-base, and LangchainIntegration only imports from langchain-base.
from sentry_sdk.integrations.langchain import LangchainIntegration
from sentry_sdk.scope import should_send_default_pii
from sentry_sdk.utils import (
has_data_collection_enabled,
package_version,
safe_serialize,
)
Expand Down Expand Up @@ -51,24 +49,6 @@ def setup_once() -> None:
Pregel.ainvoke = _wrap_pregel_ainvoke(Pregel.ainvoke)


def _should_record_inputs(integration: "LanggraphIntegration") -> bool:
client = sentry_sdk.get_client()
if has_data_collection_enabled(client.options):
return bool(client.options["data_collection"]["gen_ai"]["inputs"])

# To remove once data collection has been fully rolled out
return should_send_default_pii()


def _should_record_outputs(integration: "LanggraphIntegration") -> bool:
client = sentry_sdk.get_client()
if has_data_collection_enabled(client.options):
return bool(client.options["data_collection"]["gen_ai"]["outputs"])

# To remove once data collection has been fully rolled out
return should_send_default_pii()


def _get_graph_name(graph_obj: "Any") -> "Optional[str]":
for attr in ["name", "graph_name", "__name__", "_name"]:
if hasattr(graph_obj, attr):
Expand Down Expand Up @@ -156,7 +136,10 @@ def new_invoke(self: "Any", *args: "Any", **kwargs: "Any") -> "Any":
input_messages = None
if len(args) > 0:
input_messages = _parse_langgraph_messages(args[0])
if input_messages and _should_record_inputs(integration):
if (
input_messages
and client.options["data_collection"]["gen_ai"]["inputs"]
):
normalized_input_messages = normalize_message_roles(input_messages)
set_data_normalized(
span,
Expand Down Expand Up @@ -199,7 +182,10 @@ async def new_ainvoke(self: "Any", *args: "Any", **kwargs: "Any") -> "Any":
input_messages = None
if len(args) > 0:
input_messages = _parse_langgraph_messages(args[0])
if input_messages and _should_record_inputs(integration):
if (
input_messages
and client.options["data_collection"]["gen_ai"]["inputs"]
):
normalized_input_messages = normalize_message_roles(input_messages)
set_data_normalized(
span,
Expand Down Expand Up @@ -277,20 +263,22 @@ def _set_response_attributes(
if new_messages is None:
return

if _should_record_outputs(integration):
llm_response_text = _extract_llm_response_text(new_messages)
if llm_response_text:
set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, llm_response_text)
elif new_messages:
set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, new_messages)
else:
set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, result)

tool_calls = _extract_tool_calls(new_messages)
if tool_calls:
set_data_normalized(
span,
SPANDATA.GEN_AI_RESPONSE_TOOL_CALLS,
safe_serialize(tool_calls),
unpack=False,
)
if not sentry_sdk.get_client().options["data_collection"]["gen_ai"]["outputs"]:
return

llm_response_text = _extract_llm_response_text(new_messages)
if llm_response_text:
set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, llm_response_text)
elif new_messages:
set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, new_messages)
else:
set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, result)

tool_calls = _extract_tool_calls(new_messages)
if tool_calls:
set_data_normalized(
span,
SPANDATA.GEN_AI_RESPONSE_TOOL_CALLS,
safe_serialize(tool_calls),
unpack=False,
)
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