fix(proxy): merge org-level spend_logs_metadata into request metadata

This commit is contained in:
Devin AI 2026-07-17 15:42:10 +00:00
parent 4d33964898
commit eb8d69291a
2 changed files with 87 additions and 22 deletions

View file

@ -1028,6 +1028,19 @@ class LiteLLMProxyRequestSetup:
data[_metadata_variable_name]["user_api_key_auth_metadata"].update(added_metadata)
return data
@staticmethod
def _merge_spend_logs_metadata(source_metadata: dict, data: dict, _metadata_variable_name: str) -> None:
spend_logs_metadata = source_metadata.get("spend_logs_metadata")
if not isinstance(spend_logs_metadata, dict):
return
existing_spend_logs_metadata = data[_metadata_variable_name].get("spend_logs_metadata")
if isinstance(existing_spend_logs_metadata, dict):
for key, value in spend_logs_metadata.items():
if key not in existing_spend_logs_metadata:
existing_spend_logs_metadata[key] = value
else:
data[_metadata_variable_name]["spend_logs_metadata"] = spend_logs_metadata
@staticmethod
def add_key_level_controls(key_metadata: Optional[dict], data: dict, _metadata_variable_name: str):
if key_metadata is None:
@ -1047,17 +1060,11 @@ class LiteLLMProxyRequestSetup:
)
if "disable_global_guardrails" in key_metadata and isinstance(key_metadata["disable_global_guardrails"], bool):
data[_metadata_variable_name]["disable_global_guardrails"] = key_metadata["disable_global_guardrails"]
if "spend_logs_metadata" in key_metadata and isinstance(key_metadata["spend_logs_metadata"], dict):
if "spend_logs_metadata" in data[_metadata_variable_name] and isinstance(
data[_metadata_variable_name]["spend_logs_metadata"], dict
):
for key, value in key_metadata["spend_logs_metadata"].items():
if (
key not in data[_metadata_variable_name]["spend_logs_metadata"]
): # don't override k-v pair sent by request (user request)
data[_metadata_variable_name]["spend_logs_metadata"][key] = value
else:
data[_metadata_variable_name]["spend_logs_metadata"] = key_metadata["spend_logs_metadata"]
LiteLLMProxyRequestSetup._merge_spend_logs_metadata(
source_metadata=key_metadata,
data=data,
_metadata_variable_name=_metadata_variable_name,
)
## KEY-LEVEL DISABLE FALLBACKS
if "disable_fallbacks" in key_metadata and isinstance(key_metadata["disable_fallbacks"], bool):
@ -1554,17 +1561,19 @@ async def add_litellm_data_to_request(
team_metadata["opted_out_global_guardrails"], list
):
data[_metadata_variable_name]["opted_out_global_guardrails"] = team_metadata["opted_out_global_guardrails"]
if "spend_logs_metadata" in team_metadata and isinstance(team_metadata["spend_logs_metadata"], dict):
if "spend_logs_metadata" in data[_metadata_variable_name] and isinstance(
data[_metadata_variable_name]["spend_logs_metadata"], dict
):
for key, value in team_metadata["spend_logs_metadata"].items():
if (
key not in data[_metadata_variable_name]["spend_logs_metadata"]
): # don't override k-v pair sent by request (user request)
data[_metadata_variable_name]["spend_logs_metadata"][key] = value
else:
data[_metadata_variable_name]["spend_logs_metadata"] = team_metadata["spend_logs_metadata"]
LiteLLMProxyRequestSetup._merge_spend_logs_metadata(
source_metadata=team_metadata,
data=data,
_metadata_variable_name=_metadata_variable_name,
)
## ORG-LEVEL SPEND LOGS
organization_metadata = user_api_key_dict.organization_metadata or {}
LiteLLMProxyRequestSetup._merge_spend_logs_metadata(
source_metadata=organization_metadata,
data=data,
_metadata_variable_name=_metadata_variable_name,
)
## PROJECT-LEVEL TAGS
project_metadata = user_api_key_dict.project_metadata or {}

View file

@ -225,6 +225,62 @@ async def test_add_litellm_data_to_request_parses_string_metadata():
assert updated_data["metadata"]["generation_name"] == "gen123"
@pytest.mark.asyncio
async def test_add_litellm_data_to_request_merges_org_level_spend_logs_metadata():
"""Org-level spend_logs_metadata must be merged into the request, with
key > team > org precedence and without overriding request-supplied keys.
Regression test for https://github.com/BerriAI/litellm/issues/33663 where
organization-level spend_logs_metadata was silently dropped.
"""
from litellm.proxy.litellm_pre_call_utils import add_litellm_data_to_request
request_mock = MagicMock(spec=Request)
request_mock.url.path = "/v1/completions"
request_mock.url = MagicMock()
request_mock.url.__str__.return_value = "http://localhost/v1/completions"
request_mock.method = "POST"
request_mock.query_params = {}
request_mock.headers = {"Content-Type": "application/json"}
request_mock.client = MagicMock()
request_mock.client.host = "127.0.0.1"
data = {
"model": "gpt-3.5-turbo",
"metadata": {"spend_logs_metadata": {"source": "request"}},
}
user_api_key_dict = UserAPIKeyAuth(
api_key="hashed-key",
metadata={"spend_logs_metadata": {"key_only": "k", "shared": "key"}},
team_metadata={"spend_logs_metadata": {"team_only": "t", "shared": "team"}},
organization_metadata={
"spend_logs_metadata": {"org_only": "o", "shared": "org", "source": "org"}
},
spend=0.0,
max_budget=100.0,
model_max_budget={},
team_spend=0.0,
team_max_budget=200.0,
)
updated_data = await add_litellm_data_to_request(
data=data,
request=request_mock,
user_api_key_dict=user_api_key_dict,
proxy_config=MagicMock(),
general_settings={},
version="test-version",
)
spend_logs_metadata = updated_data["metadata"]["spend_logs_metadata"]
assert spend_logs_metadata["org_only"] == "o"
assert spend_logs_metadata["key_only"] == "k"
assert spend_logs_metadata["team_only"] == "t"
assert spend_logs_metadata["source"] == "request"
assert spend_logs_metadata["shared"] == "key"
@pytest.mark.asyncio
async def test_add_litellm_data_to_request_strips_admin_injection_slots():
"""User-supplied user_api_key_metadata / user_api_key_team_metadata /