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ref(litellm): Drop send_default_pii support #7740

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Merged
alexander-alderman-webb merged 4 commits into from
Sep 29, 2026
Merged

ref(litellm): Drop send_default_pii support #7740

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d54c499
ref(litellm): Drop send_default_pii support
alexander-alderman-webb Sep 29, 2026
2090d14
restore mixed cases of test_chat_completion_data_collection
alexander-alderman-webb Sep 29, 2026
8e760e6
.
alexander-alderman-webb Sep 29, 2026
a95d958
remove stale comment
alexander-alderman-webb Sep 29, 2026
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20 changes: 2 additions & 18 deletions sentry_sdk/integrations/litellm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,10 +10,8 @@
)
from sentry_sdk.consts import SPANDATA
from sentry_sdk.integrations import DidNotEnable, Integration, _check_minimum_version
from sentry_sdk.scope import should_send_default_pii
from sentry_sdk.utils import (
event_from_exception,
has_data_collection_enabled,
package_version,
)

Expand Down Expand Up @@ -113,14 +111,7 @@ def _input_callback(kwargs: "Dict[str, Any]") -> None:
set_data_normalized(span, SPANDATA.GEN_AI_PROVIDER_NAME, provider)
set_data_normalized(span, SPANDATA.GEN_AI_OPERATION_NAME, operation)

# Record input/messages if allowed
record_inputs = False
if has_data_collection_enabled(client.options):
record_inputs = client.options["data_collection"]["gen_ai"]["inputs"]
elif should_send_default_pii():
record_inputs = True

if record_inputs:
if client.options["data_collection"]["gen_ai"]["inputs"]:
if operation == "embeddings":
# For embeddings, look for the 'input' parameter
embedding_input = kwargs.get("input")
Expand Down Expand Up @@ -194,14 +185,7 @@ def _success_callback(
span, SPANDATA.GEN_AI_RESPONSE_MODEL, completion_response.model
)

# Record response content if allowed
record_outputs = False
if has_data_collection_enabled(client.options):
record_outputs = client.options["data_collection"]["gen_ai"]["outputs"]
elif should_send_default_pii():
record_outputs = True

if record_outputs:
if client.options["data_collection"]["gen_ai"]["outputs"]:
if hasattr(completion_response, "choices"):
response_messages = []
for choice in completion_response.choices:
Expand Down
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