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litellm/tests/test_litellm/proxy/auth/test_auth_utils.py
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"""
Unit tests for auth_utils functions related to rate limiting and customer ID extraction.
"""
import base64
from typing import Optional
from unittest.mock import MagicMock, patch
import pytest
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy.auth.auth_utils import (
_get_customer_id_from_standard_headers,
abbreviate_api_key,
check_complete_credentials,
get_end_user_id_from_request_body,
get_key_model_rpm_limit,
get_key_model_tpm_limit,
get_model_from_request,
get_project_model_rpm_limit,
get_project_model_tpm_limit,
is_request_body_safe,
)
class TestGetKeyModelRpmLimit:
"""Tests for get_key_model_rpm_limit function."""
def test_returns_key_metadata_when_present(self):
"""Key metadata takes priority over team metadata."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
metadata={"model_rpm_limit": {"gpt-4": 100}},
team_metadata={"model_rpm_limit": {"gpt-4": 50}},
)
result = get_key_model_rpm_limit(user_api_key_dict)
assert result == {"gpt-4": 100}
def test_falls_back_to_team_metadata_when_key_has_other_metadata(self):
"""Should fall back to team metadata when key metadata exists but has no model_rpm_limit."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
metadata={
"some_other_key": "value"
}, # Has metadata, but not model_rpm_limit
team_metadata={"model_rpm_limit": {"gpt-4": 50}},
)
result = get_key_model_rpm_limit(user_api_key_dict)
assert result == {"gpt-4": 50}
def test_extracts_from_model_max_budget(self):
"""Should extract rpm_limit from model_max_budget when metadata is empty."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
model_max_budget={
"gpt-4": {"rpm_limit": 100, "tpm_limit": 1000},
"gpt-3.5-turbo": {"rpm_limit": 200},
},
)
result = get_key_model_rpm_limit(user_api_key_dict)
assert result == {"gpt-4": 100, "gpt-3.5-turbo": 200}
def test_skips_models_without_rpm_limit(self):
"""Should skip models that don't have rpm_limit in model_max_budget."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
model_max_budget={
"gpt-4": {"rpm_limit": 100},
"gpt-3.5-turbo": {"tpm_limit": 1000}, # No rpm_limit
},
)
result = get_key_model_rpm_limit(user_api_key_dict)
assert result == {"gpt-4": 100}
def test_returns_none_when_no_limits_configured(self):
"""Should return None when no rate limits are configured."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
result = get_key_model_rpm_limit(user_api_key_dict)
assert result is None
def test_team_metadata_empty_rpm_dict_falls_through_to_deployment_default(self):
"""Explicitly empty team model_rpm_limit ({}) should be returned as-is, not fallen through."""
# An empty dict is a valid team limit map (no per-model limits configured).
# It should be returned directly rather than falling through to deployment defaults,
# so a team with an empty map is treated as unconstrained at the team level.
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
team_metadata={"model_rpm_limit": {}},
)
result = get_key_model_rpm_limit(user_api_key_dict)
assert result == {}
class TestGetKeyModelTpmLimit:
"""Tests for get_key_model_tpm_limit function."""
def test_returns_key_metadata_when_present(self):
"""Key metadata takes priority over team metadata."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
metadata={"model_tpm_limit": {"gpt-4": 10000}},
team_metadata={"model_tpm_limit": {"gpt-4": 5000}},
)
result = get_key_model_tpm_limit(user_api_key_dict)
assert result == {"gpt-4": 10000}
def test_falls_back_to_team_metadata_when_key_has_other_metadata(self):
"""Should fall back to team metadata when key metadata exists but has no model_tpm_limit."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
metadata={
"some_other_key": "value"
}, # Has metadata, but not model_tpm_limit
team_metadata={"model_tpm_limit": {"gpt-4": 5000}},
)
result = get_key_model_tpm_limit(user_api_key_dict)
assert result == {"gpt-4": 5000}
def test_extracts_from_model_max_budget(self):
"""Should extract tpm_limit from model_max_budget when metadata is empty."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
model_max_budget={
"gpt-4": {"tpm_limit": 10000, "rpm_limit": 100},
"gpt-3.5-turbo": {"tpm_limit": 20000},
},
)
result = get_key_model_tpm_limit(user_api_key_dict)
assert result == {"gpt-4": 10000, "gpt-3.5-turbo": 20000}
def test_skips_models_without_tpm_limit(self):
"""Should skip models that don't have tpm_limit in model_max_budget."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
model_max_budget={
"gpt-4": {"tpm_limit": 10000},
"gpt-3.5-turbo": {"rpm_limit": 100}, # No tpm_limit
},
)
result = get_key_model_tpm_limit(user_api_key_dict)
assert result == {"gpt-4": 10000}
def test_returns_none_when_no_limits_configured(self):
"""Should return None when no rate limits are configured."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
result = get_key_model_tpm_limit(user_api_key_dict)
assert result is None
def test_model_max_budget_priority_over_team(self):
"""model_max_budget should take priority over team_metadata."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
model_max_budget={"gpt-4": {"tpm_limit": 10000}},
team_metadata={"model_tpm_limit": {"gpt-4": 5000}},
)
result = get_key_model_tpm_limit(user_api_key_dict)
assert result == {"gpt-4": 10000}
def test_team_metadata_empty_tpm_dict_falls_through_to_deployment_default(self):
"""Explicitly empty team model_tpm_limit ({}) should be returned as-is, not fallen through."""
# An empty dict is a valid team limit map (no per-model limits configured).
# It should be returned directly rather than falling through to deployment defaults,
# so a team with an empty map is treated as unconstrained at the team level.
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
team_metadata={"model_tpm_limit": {}},
)
result = get_key_model_tpm_limit(user_api_key_dict)
assert result == {}
def test_skips_deployments_with_malformed_limit_value(self):
"""Deployments with non-integer-parseable limit values are skipped without raising."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
{
"model_name": "model1",
"litellm_params": {"default_api_key_tpm_limit": "not-a-number"},
},
_make_deployment_dict("model1", tpm=500),
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_tpm_limit(user_api_key_dict, model_name="model1")
# The malformed deployment is skipped; the valid one provides 500
assert result == {"model1": 500}
class TestGetCustomerIdFromStandardHeaders:
"""Tests for _get_customer_id_from_standard_headers helper function."""
def test_should_return_customer_id_from_x_litellm_customer_id_header(self):
"""Should extract customer ID from x-litellm-customer-id header."""
headers = {"x-litellm-customer-id": "customer-123"}
result = _get_customer_id_from_standard_headers(request_headers=headers)
assert result == "customer-123"
def test_should_return_customer_id_from_x_litellm_end_user_id_header(self):
"""Should extract customer ID from x-litellm-end-user-id header."""
headers = {"x-litellm-end-user-id": "end-user-456"}
result = _get_customer_id_from_standard_headers(request_headers=headers)
assert result == "end-user-456"
def test_should_return_none_when_headers_is_none(self):
"""Should return None when headers is None."""
result = _get_customer_id_from_standard_headers(request_headers=None)
assert result is None
def test_should_return_none_when_no_standard_headers_present(self):
"""Should return None when no standard customer ID headers are present."""
headers = {"x-other-header": "some-value"}
result = _get_customer_id_from_standard_headers(request_headers=headers)
assert result is None
class TestGetEndUserIdFromRequestBodyWithStandardHeaders:
"""Tests for get_end_user_id_from_request_body with standard customer ID headers."""
def test_should_prioritize_standard_header_over_body_user(self):
"""Standard customer ID header should take precedence over body user field."""
headers = {"x-litellm-customer-id": "header-customer"}
request_body = {"user": "body-user"}
with patch("litellm.proxy.proxy_server.general_settings", {}):
result = get_end_user_id_from_request_body(
request_body=request_body, request_headers=headers
)
assert result == "header-customer"
def test_should_fall_back_to_body_when_no_standard_header(self):
"""Should fall back to body user when no standard headers are present."""
headers = {"x-other-header": "value"}
request_body = {"user": "body-user"}
with patch("litellm.proxy.proxy_server.general_settings", {}):
result = get_end_user_id_from_request_body(
request_body=request_body, request_headers=headers
)
assert result == "body-user"
def test_get_model_from_request_supports_google_model_names_with_slashes():
assert (
get_model_from_request(
request_data={},
route="/v1beta/models/bedrock/claude-sonnet-3.7:generateContent",
)
== "bedrock/claude-sonnet-3.7"
)
assert (
get_model_from_request(
request_data={},
route="/models/hosted_vllm/gpt-oss-20b:generateContent",
)
== "hosted_vllm/gpt-oss-20b"
)
def test_get_model_from_request_vertex_passthrough_still_works():
route = "/vertex_ai/v1/projects/p/locations/l/publishers/google/models/gemini-1.5-pro:generateContent"
assert get_model_from_request(request_data={}, route=route) == "gemini-1.5-pro"
def test_get_model_from_request_openai_deployment_route_still_works():
assert (
get_model_from_request(
request_data={},
route="/openai/deployments/my-azure-deployment/chat/completions",
)
== "my-azure-deployment"
)
def test_get_model_from_request_includes_file_endpoint_header_model():
assert (
get_model_from_request(
request_data={},
route="/v1/files",
request_headers={"X-LiteLLM-Model": "restricted-model"},
)
== "restricted-model"
)
def test_get_model_from_request_ignores_routing_header_on_standard_llm_routes():
assert (
get_model_from_request(
request_data={"model": "allowed-model"},
route="/v1/chat/completions",
request_headers={"x-litellm-model": "restricted-model"},
)
== "allowed-model"
)
def test_get_model_from_request_authorizes_all_file_routing_model_sources():
models = get_model_from_request(
request_data={"model": "body-model"},
route="/v1/files",
request_headers={"x-litellm-model": "header-model"},
request_query_params={"target_model_names": "query-model-a,query-model-b"},
)
assert isinstance(models, list)
assert set(models) == {
"body-model",
"query-model-a",
"query-model-b",
"header-model",
}
def test_get_model_from_request_extracts_simple_encoded_file_id_model():
from litellm.proxy.openai_files_endpoints.common_utils import (
encode_file_id_with_model,
)
file_id = encode_file_id_with_model(
file_id="file-provider-id",
model="restricted-model",
)
assert (
get_model_from_request(
request_data={"file_id": file_id},
route="/v1/files/{file_id}",
)
== "restricted-model"
)
def test_get_model_from_request_extracts_unified_file_id_models():
raw_unified_file_id = (
"litellm_proxy:application/octet-stream;unified_id,test-id;"
"target_model_names,model-a,model-b;llm_output_file_id,file-provider-id"
)
encoded_unified_file_id = (
base64.urlsafe_b64encode(raw_unified_file_id.encode()).decode().rstrip("=")
)
assert get_model_from_request(
request_data={"file_id": encoded_unified_file_id},
route="/v1/files/{file_id}",
) == ["model-a", "model-b"]
def test_get_model_from_request_extracts_eval_completion_model():
assert (
get_model_from_request(
request_data={"completion": {"model": "judge-model"}},
route="/v1/evals/{eval_id}/runs",
)
== "judge-model"
)
def test_get_model_from_request_includes_fine_tuning_target_model_query():
assert (
get_model_from_request(
request_data={},
route="/v1/fine_tuning/jobs",
request_query_params={"target_model_names": "fine-tune-model"},
)
== "fine-tune-model"
)
def test_get_model_from_request_extracts_video_id_model():
from litellm.types.videos.utils import encode_video_id_with_provider
video_id = encode_video_id_with_provider(
video_id="video-provider-id",
provider="openai",
model_id="video-model",
)
assert (
get_model_from_request(
request_data={"video_id": video_id},
route="/v1/videos/{video_id}",
)
== "video-model"
)
def test_get_model_from_request_only_runs_media_decoders_for_matching_fields():
with (
patch(
"litellm.types.videos.utils.decode_video_id_with_provider",
return_value={"model_id": "video-model"},
) as video_decoder,
patch(
"litellm.types.videos.utils.decode_character_id_with_provider",
return_value={"model_id": "character-model"},
) as character_decoder,
):
assert (
get_model_from_request(
request_data={"file_id": "file-provider-id"},
route="/v1/files/{file_id}",
)
is None
)
video_decoder.assert_not_called()
character_decoder.assert_not_called()
assert (
get_model_from_request(
request_data={"video_id": "video-provider-id"},
route="/v1/videos/{video_id}",
)
== "video-model"
)
video_decoder.assert_called_once_with("video-provider-id")
character_decoder.assert_not_called()
video_decoder.reset_mock()
character_decoder.reset_mock()
assert (
get_model_from_request(
request_data={"character_id": "character-provider-id"},
route="/v1/videos/{character_id}",
)
== "character-model"
)
video_decoder.assert_not_called()
character_decoder.assert_called_once_with("character-provider-id")
def test_get_model_from_request_handles_managed_id_decoder_failures():
with (
patch(
"litellm.proxy.openai_files_endpoints.common_utils.decode_model_from_file_id",
side_effect=Exception("decode failed"),
),
patch(
"litellm.llms.base_llm.managed_resources.utils.parse_unified_id",
side_effect=Exception("parse failed"),
),
patch(
"litellm.types.videos.utils.decode_video_id_with_provider",
side_effect=Exception("video decode failed"),
),
):
assert (
get_model_from_request(
request_data={"file_id": "not-a-managed-resource-id"},
route="/v1/files/{file_id}",
)
is None
)
assert (
get_model_from_request(
request_data={"video_id": "not-a-managed-resource-id"},
route="/v1/videos/{video_id}",
)
is None
)
def test_abbreviate_api_key():
assert abbreviate_api_key("sk-test-1234") == "sk-...1234"
def test_get_customer_user_header_returns_none_when_no_customer_role():
from litellm.proxy.auth.auth_utils import get_customer_user_header_from_mapping
mappings = [
{"header_name": "X-OpenWebUI-User-Id", "litellm_user_role": "internal_user"}
]
result = get_customer_user_header_from_mapping(mappings)
assert result is None
def test_get_customer_user_header_returns_none_for_single_non_customer_mapping():
from litellm.proxy.auth.auth_utils import get_customer_user_header_from_mapping
mapping = {"header_name": "X-Only-Internal", "litellm_user_role": "internal_user"}
result = get_customer_user_header_from_mapping(mapping)
assert result is None
def test_get_customer_user_header_from_mapping_returns_customer_header():
from litellm.proxy.auth.auth_utils import get_customer_user_header_from_mapping
mappings = [
{"header_name": "X-OpenWebUI-User-Id", "litellm_user_role": "internal_user"},
{"header_name": "X-OpenWebUI-User-Email", "litellm_user_role": "customer"},
]
result = get_customer_user_header_from_mapping(mappings)
assert result == ["x-openwebui-user-email"]
def test_get_customer_user_header_returns_customers_header_in_config_order_when_multiple_exist():
from litellm.proxy.auth.auth_utils import get_customer_user_header_from_mapping
mappings = [
{"header_name": "X-OpenWebUI-User-Id", "litellm_user_role": "internal_user"},
{"header_name": "X-OpenWebUI-User-Email", "litellm_user_role": "customer"},
{"header_name": "X-User-Id", "litellm_user_role": "customer"},
]
result = get_customer_user_header_from_mapping(mappings)
assert result == ["x-openwebui-user-email", "x-user-id"]
def test_get_end_user_id_returns_id_from_user_header_mappings():
from litellm.proxy.auth.auth_utils import get_end_user_id_from_request_body
mappings = [
{"header_name": "x-openwebui-user-id", "litellm_user_role": "internal_user"},
{"header_name": "x-openwebui-user-email", "litellm_user_role": "customer"},
]
general_settings = {"user_header_mappings": mappings}
headers = {"x-openwebui-user-email": "1234"}
with (
patch(
"litellm.proxy.auth.auth_utils._get_customer_id_from_standard_headers",
return_value=None,
),
patch("litellm.proxy.proxy_server.general_settings", general_settings),
):
result = get_end_user_id_from_request_body(
request_body={}, request_headers=headers
)
assert result == "1234"
def test_get_end_user_id_returns_first_customer_header_when_multiple_mappings_exist():
from litellm.proxy.auth.auth_utils import get_end_user_id_from_request_body
mappings = [
{"header_name": "x-openwebui-user-id", "litellm_user_role": "internal_user"},
{"header_name": "x-user-id", "litellm_user_role": "customer"},
{"header_name": "x-openwebui-user-email", "litellm_user_role": "customer"},
]
general_settings = {"user_header_mappings": mappings}
headers = {
"x-user-id": "user-456",
"x-openwebui-user-email": "user@example.com",
}
with (
patch(
"litellm.proxy.auth.auth_utils._get_customer_id_from_standard_headers",
return_value=None,
),
patch("litellm.proxy.proxy_server.general_settings", general_settings),
):
result = get_end_user_id_from_request_body(
request_body={}, request_headers=headers
)
assert result == "user-456"
def test_get_end_user_id_returns_none_when_no_customer_role_in_mappings():
from litellm.proxy.auth.auth_utils import get_end_user_id_from_request_body
mappings = [
{"header_name": "x-openwebui-user-id", "litellm_user_role": "internal_user"},
]
general_settings = {"user_header_mappings": mappings}
headers = {"x-openwebui-user-id": "user-789"}
with (
patch(
"litellm.proxy.auth.auth_utils._get_customer_id_from_standard_headers",
return_value=None,
),
patch("litellm.proxy.proxy_server.general_settings", general_settings),
):
result = get_end_user_id_from_request_body(
request_body={}, request_headers=headers
)
assert result is None
def test_get_end_user_id_falls_back_to_deprecated_user_header_name():
from litellm.proxy.auth.auth_utils import get_end_user_id_from_request_body
general_settings = {"user_header_name": "x-custom-user-id"}
headers = {"x-custom-user-id": "user-legacy"}
with (
patch(
"litellm.proxy.auth.auth_utils._get_customer_id_from_standard_headers",
return_value=None,
),
patch("litellm.proxy.proxy_server.general_settings", general_settings),
):
result = get_end_user_id_from_request_body(
request_body={}, request_headers=headers
)
assert result == "user-legacy"
def _make_deployment_dict(
model_name: str, tpm: Optional[int] = None, rpm: Optional[int] = None
) -> dict:
"""Helper to build a minimal deployment dict as returned by router.get_model_list."""
litellm_params: dict = {"model": model_name}
if tpm is not None:
litellm_params["default_api_key_tpm_limit"] = tpm
if rpm is not None:
litellm_params["default_api_key_rpm_limit"] = rpm
return {"model_name": model_name, "litellm_params": litellm_params}
_ROUTER_PATCH = "litellm.proxy.proxy_server.llm_router"
class TestDeploymentDefaultRpmLimit:
"""Tests for deployment default_api_key_rpm_limit fallback in get_key_model_rpm_limit."""
def test_returns_deployment_default_when_key_has_no_limits(self):
"""Case 2 from spec: key has no model-specific limits, falls back to deployment default."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1", rpm=200)
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_rpm_limit(user_api_key_dict, model_name="model1")
assert result == {"model1": 200}
def test_key_model_limit_takes_priority_over_deployment_default(self):
"""Case 1 from spec: key model-specific limit wins over deployment default."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
metadata={"model_rpm_limit": {"model1": 10}},
)
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1", rpm=200)
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_rpm_limit(user_api_key_dict, model_name="model1")
assert result == {"model1": 10}
def test_returns_none_when_no_deployment_default_and_no_key_limits(self):
"""Returns None when neither the key nor the deployment has any rpm limit."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1") # no rpm default
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_rpm_limit(user_api_key_dict, model_name="model1")
assert result is None
def test_returns_none_without_model_name_even_when_deployment_has_default(self):
"""No model_name means deployment fallback is skipped."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1", rpm=200)
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_rpm_limit(user_api_key_dict)
assert result is None
def test_returns_none_when_llm_router_is_none(self):
"""No router means deployment fallback returns None gracefully."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
with patch(_ROUTER_PATCH, None):
result = get_key_model_rpm_limit(user_api_key_dict, model_name="model1")
assert result is None
def test_returns_minimum_across_multiple_deployments(self):
"""When multiple deployments share a model name, the minimum rpm limit is used."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1", rpm=200),
_make_deployment_dict("model1", rpm=50),
_make_deployment_dict("model1", rpm=150),
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_rpm_limit(user_api_key_dict, model_name="model1")
assert result == {"model1": 50}
def test_ignores_deployments_without_default_when_others_have_it(self):
"""Deployments missing the field are skipped; min is taken over those that have it."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1"), # no rpm default
_make_deployment_dict("model1", rpm=75),
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_rpm_limit(user_api_key_dict, model_name="model1")
assert result == {"model1": 75}
def test_skips_deployments_with_malformed_limit_value(self):
"""Deployments with non-integer-parseable limit values are skipped without raising."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
{
"model_name": "model1",
"litellm_params": {"default_api_key_rpm_limit": "not-a-number"},
},
_make_deployment_dict("model1", rpm=100),
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_rpm_limit(user_api_key_dict, model_name="model1")
# The malformed deployment is skipped; the valid one provides 100
assert result == {"model1": 100}
class TestDeploymentDefaultTpmLimit:
"""Tests for deployment default_api_key_tpm_limit fallback in get_key_model_tpm_limit."""
def test_returns_deployment_default_when_key_has_no_limits(self):
"""Case 2 from spec: key has no model-specific limits, falls back to deployment default."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1", tpm=100)
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_tpm_limit(user_api_key_dict, model_name="model1")
assert result == {"model1": 100}
def test_key_model_limit_takes_priority_over_deployment_default(self):
"""Case 1 from spec: key model-specific limit wins over deployment default."""
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
metadata={"model_tpm_limit": {"model1": 20}},
)
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1", tpm=100)
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_tpm_limit(user_api_key_dict, model_name="model1")
assert result == {"model1": 20}
def test_returns_none_when_no_deployment_default_and_no_key_limits(self):
"""Returns None when neither the key nor the deployment has any tpm limit."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1") # no tpm default
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_tpm_limit(user_api_key_dict, model_name="model1")
assert result is None
def test_returns_none_without_model_name_even_when_deployment_has_default(self):
"""No model_name means deployment fallback is skipped."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1", tpm=100)
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_tpm_limit(user_api_key_dict)
assert result is None
def test_returns_none_when_llm_router_is_none(self):
"""No router means deployment fallback returns None gracefully."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
with patch(_ROUTER_PATCH, None):
result = get_key_model_tpm_limit(user_api_key_dict, model_name="model1")
assert result is None
def test_returns_minimum_across_multiple_deployments(self):
"""When multiple deployments share a model name, the minimum tpm limit is used."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1", tpm=1000),
_make_deployment_dict("model1", tpm=300),
_make_deployment_dict("model1", tpm=700),
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_tpm_limit(user_api_key_dict, model_name="model1")
assert result == {"model1": 300}
def test_ignores_deployments_without_default_when_others_have_it(self):
"""Deployments missing the field are skipped; min is taken over those that have it."""
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
mock_router = MagicMock()
mock_router.get_model_list.return_value = [
_make_deployment_dict("model1"), # no tpm default
_make_deployment_dict("model1", tpm=400),
]
with patch(_ROUTER_PATCH, mock_router):
result = get_key_model_tpm_limit(user_api_key_dict, model_name="model1")
assert result == {"model1": 400}
class TestGetProjectModelRpmLimit:
"""Tests for get_project_model_rpm_limit function."""
def test_returns_project_metadata_rpm_limit(self):
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
project_metadata={"model_rpm_limit": {"gpt-4": 200}},
)
result = get_project_model_rpm_limit(user_api_key_dict)
assert result == {"gpt-4": 200}
def test_returns_none_when_no_project_metadata(self):
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
result = get_project_model_rpm_limit(user_api_key_dict)
assert result is None
def test_returns_none_when_project_metadata_missing_key(self):
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
project_metadata={"other_key": "value"},
)
result = get_project_model_rpm_limit(user_api_key_dict)
assert result is None
class TestGetProjectModelTpmLimit:
"""Tests for get_project_model_tpm_limit function."""
def test_returns_project_metadata_tpm_limit(self):
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
project_metadata={"model_tpm_limit": {"gpt-4": 50000}},
)
result = get_project_model_tpm_limit(user_api_key_dict)
assert result == {"gpt-4": 50000}
def test_returns_none_when_no_project_metadata(self):
user_api_key_dict = UserAPIKeyAuth(api_key="sk-123")
result = get_project_model_tpm_limit(user_api_key_dict)
assert result is None
def test_returns_none_when_project_metadata_missing_key(self):
user_api_key_dict = UserAPIKeyAuth(
api_key="sk-123",
project_metadata={"other_key": "value"},
)
result = get_project_model_tpm_limit(user_api_key_dict)
assert result is None
class TestCheckCompleteCredentials:
"""Tests for the api_key validation in check_complete_credentials."""
def test_returns_false_when_api_key_missing(self):
result = check_complete_credentials({"model": "gpt-4"})
assert result is False
def test_returns_false_when_api_key_is_none(self):
result = check_complete_credentials({"model": "gpt-4", "api_key": None})
assert result is False
def test_returns_false_when_api_key_is_empty_string(self):
result = check_complete_credentials({"model": "gpt-4", "api_key": ""})
assert result is False
def test_returns_false_when_api_key_is_whitespace(self):
result = check_complete_credentials({"model": "gpt-4", "api_key": " "})
assert result is False
def test_returns_true_when_api_key_is_valid(self):
result = check_complete_credentials({"model": "gpt-4", "api_key": "sk-valid"})
assert result is True
class TestCheckCompleteCredentialsBlocksSSRF:
"""
Even with credentials supplied, ``api_base`` / ``base_url`` must not
point at private / internal / cloud-metadata addresses. Without this
the gate accepts ``api_key=anything`` plus a malicious target and the
proxy is used as an SSRF pivot.
The check only runs when ``litellm.user_url_validation`` is True, so
every test in this class flips the toggle. Tests stay mock-only — no
real DNS is performed.
"""
@pytest.fixture(autouse=True)
def _enable_url_validation(self, monkeypatch):
import litellm
monkeypatch.setattr(litellm, "user_url_validation", True, raising=False)
@pytest.mark.parametrize(
"url_field",
["api_base", "base_url"],
)
@pytest.mark.parametrize(
"blocked_url",
[
"http://169.254.169.254/latest/meta-data/iam/security-credentials/",
"http://metadata.google.internal/computeMetadata/v1/",
"http://127.0.0.1:8080/admin",
"http://10.0.0.1/",
"http://192.168.1.1/",
],
)
def test_rejects_private_or_metadata_targets(self, url_field, blocked_url):
from litellm.litellm_core_utils.url_utils import SSRFError
with patch(
"litellm.proxy.auth.auth_utils.validate_url",
side_effect=SSRFError(f"blocked: {blocked_url}"),
):
with pytest.raises(ValueError) as exc_info:
check_complete_credentials(
{
"model": "gpt-4",
"api_key": "sk-some-clientside-key",
url_field: blocked_url,
}
)
assert url_field in str(exc_info.value)
assert "SSRF" in str(exc_info.value)
def test_allows_public_target_when_validate_url_passes(self):
# ``validate_url`` is mocked so no real DNS is performed.
with patch(
"litellm.proxy.auth.auth_utils.validate_url",
return_value=("https://api.openai.com/v1", "api.openai.com"),
):
result = check_complete_credentials(
{
"model": "gpt-4",
"api_key": "sk-some-clientside-key",
"api_base": "https://api.openai.com/v1",
}
)
assert result is True
def test_skips_url_validation_when_toggle_is_off(self, monkeypatch):
# Admins who disable ``user_url_validation`` (default) should not
# have requests rejected at the proxy boundary even if the URL
# would fail the SSRF guard.
import litellm
monkeypatch.setattr(litellm, "user_url_validation", False, raising=False)
with patch(
"litellm.proxy.auth.auth_utils.validate_url",
) as mocked:
result = check_complete_credentials(
{
"model": "gpt-4",
"api_key": "sk-some-clientside-key",
"api_base": "http://127.0.0.1:8080/admin",
}
)
assert result is True
mocked.assert_not_called()
class TestGetDynamicLitellmParamsClearsAdminConfigOnBaseOverride:
"""
When the caller redirects ``api_base`` / ``base_url`` to their own
server, admin-set fields like ``OpenAI-Organization``, ``extra_body``,
AWS / Vertex / Azure tokens, and per-deployment ``api_version`` must
NOT flow through to that destination.
"""
def test_clears_admin_organization_and_extra_body_on_base_override(self):
from litellm.router_utils.clientside_credential_handler import (
get_dynamic_litellm_params,
)
admin_params = {
"model": "gpt-4",
"api_key": "sk-admin-key",
"api_base": "https://admin.upstream/v1",
"organization": "org-admin-corp",
"extra_body": {"x-admin-secret": "super-secret"},
"api_version": "2026-04-01",
}
out = get_dynamic_litellm_params(
litellm_params=dict(admin_params),
request_kwargs={
"api_key": "sk-attacker",
"api_base": "https://attacker.example",
},
)
assert out["api_base"] == "https://attacker.example"
assert out["api_key"] == "sk-attacker"
assert "organization" not in out
assert "extra_body" not in out
assert "api_version" not in out
def test_clears_aws_and_vertex_secrets_on_base_override(self):
from litellm.router_utils.clientside_credential_handler import (
get_dynamic_litellm_params,
)
admin_params = {
"model": "bedrock/claude-3",
"aws_access_key_id": "AKIA-EXAMPLE",
"aws_secret_access_key": "secret-example",
"aws_session_token": "session-example",
"vertex_credentials": '{"private_key":"-----BEGIN..."}',
"vertex_project": "admin-gcp-project",
}
out = get_dynamic_litellm_params(
litellm_params=dict(admin_params),
request_kwargs={"base_url": "https://attacker.example"},
)
assert "aws_access_key_id" not in out
assert "aws_secret_access_key" not in out
assert "aws_session_token" not in out
assert "vertex_credentials" not in out
assert "vertex_project" not in out
def test_caller_resupplied_value_overrides_admin_value_on_base_override(self):
# When the caller redirects ``api_base`` and *also* supplies their
# own value for one of the admin fields (e.g. ``organization``),
# the caller's value must win — never the admin's. The naive
# ``if field not in request_kwargs: pop`` shape lets a caller echo
# the field name with any value (or empty string) to keep the
# admin's value forwarded, which is the exfiltration vector this
# test guards against.
from litellm.router_utils.clientside_credential_handler import (
get_dynamic_litellm_params,
)
out = get_dynamic_litellm_params(
litellm_params={
"api_base": "https://admin.upstream/v1",
"organization": "org-admin",
"extra_body": {"admin": "value"},
},
request_kwargs={
"api_base": "https://attacker.example",
"organization": "org-attacker",
"extra_body": {"attacker": "value"},
},
)
assert out["organization"] == "org-attacker"
assert out["extra_body"] == {"attacker": "value"}
def test_field_echo_does_not_preserve_admin_value(self):
# Regression: a caller that echoes an admin-config field name with
# an *empty* value (or any value) must not be able to keep the
# admin's value in ``litellm_params``.
from litellm.router_utils.clientside_credential_handler import (
get_dynamic_litellm_params,
)
out = get_dynamic_litellm_params(
litellm_params={
"api_base": "https://admin.upstream/v1",
"organization": "org-admin-secret",
"extra_body": {"x-admin-only": "secret"},
},
request_kwargs={
"api_base": "https://attacker.example",
"organization": "",
"extra_body": "",
},
)
assert out["organization"] == ""
assert out["extra_body"] == ""
assert "org-admin-secret" not in str(out)
def test_no_clearing_when_only_api_key_overridden(self):
from litellm.router_utils.clientside_credential_handler import (
get_dynamic_litellm_params,
)
# Caller only overrides api_key (BYOK pattern); admin's organization /
# extra_body / region still apply because the destination is unchanged.
out = get_dynamic_litellm_params(
litellm_params={
"api_base": "https://admin.upstream/v1",
"organization": "org-admin",
"api_version": "2026-04-01",
},
request_kwargs={"api_key": "sk-byok"},
)
assert out["organization"] == "org-admin"
assert out["api_version"] == "2026-04-01"
assert out["api_base"] == "https://admin.upstream/v1"
class TestIsRequestBodySafeBlocksEndpointTargetingFields:
"""
``is_request_body_safe`` rejects request-body fields that retarget the
outbound request to a caller-controlled host. Beyond the original
``api_base`` / ``base_url``, the same protection must apply to:
* ``aws_bedrock_runtime_endpoint`` — Bedrock endpoint redirect; an
attacker-controlled value coerces the proxy to authenticate against
their host with the admin's AWS creds.
* ``langsmith_base_url`` — Langsmith callback host; attacker-controlled
values exfiltrate the entire request payload (incl. message content)
via the observability hook.
* ``langfuse_host`` — same exfil vector via the Langfuse hook.
"""
@pytest.fixture(autouse=True)
def _disable_url_validation(self, monkeypatch):
# The new banned-params entries should be rejected even when
# ``user_url_validation`` is off — the gate isn't the URL guard,
# it's the banned-params list.
import litellm
monkeypatch.setattr(litellm, "user_url_validation", False, raising=False)
@pytest.mark.parametrize(
"field",
[
"aws_bedrock_runtime_endpoint",
"langsmith_base_url",
"langfuse_host",
"posthog_host",
"braintrust_host",
"slack_webhook_url",
"s3_endpoint_url",
"sagemaker_base_url",
"deployment_url",
],
)
def test_endpoint_targeting_field_in_request_body_is_rejected(self, field):
with pytest.raises(ValueError) as exc:
is_request_body_safe(
request_body={"model": "gpt-4", field: "https://attacker.example"},
general_settings={},
llm_router=None,
model="gpt-4",
)
# The function lists the offending param name in the error.
assert field in str(exc.value)
@pytest.mark.parametrize(
"field",
["api_base", "base_url", "user_config", "langfuse_host", "slack_webhook_url"],
)
def test_api_key_does_not_bypass_blocklist(self, field):
# Regression: the historical ``check_complete_credentials`` clause
# made the entire blocklist a no-op for any caller that supplied
# a non-empty ``api_key``. That bypass turned every missing entry
# on the blocklist into an SSRF / credential-exfil hole. Verify
# that supplying an api_key (alongside the banned param) does NOT
# bypass the gate — it can only be opened by an admin opt-in.
with pytest.raises(ValueError) as exc:
is_request_body_safe(
request_body={
"model": "gpt-4",
"api_key": "sk-anything",
field: "https://attacker.example",
},
general_settings={},
llm_router=None,
model="gpt-4",
)
assert field in str(exc.value)
def test_admin_opt_in_proxy_wide_still_allows(self):
# ``general_settings.allow_client_side_credentials = True`` remains
# the documented proxy-wide BYOK opt-in.
assert (
is_request_body_safe(
request_body={"model": "gpt-4", "api_base": "https://my-byok.example"},
general_settings={"allow_client_side_credentials": True},
llm_router=None,
model="gpt-4",
)
is True
)
# ── is_request_body_safe nested-config recursion (VERIA-6) ────────────────────
class TestIsRequestBodySafeNestedConfig:
"""The Milvus vector store transformer unpacks
``litellm_embedding_config`` as ``**kwargs`` into ``litellm.embedding(...)``
— same SSRF / credential-exfil surface as a top-level ``api_base`` in
the request body. ``is_request_body_safe`` must recurse into this
nested dict so a banned param can't be smuggled in via nesting."""
def test_root_level_api_base_blocked_when_no_opt_in(self):
"""Sanity check: pre-existing root-level enforcement still works."""
with pytest.raises(ValueError, match="api_base"):
is_request_body_safe(
request_body={"api_base": "https://attacker.example.com"},
general_settings={},
llm_router=None,
model="gpt-4",
)
def test_nested_api_base_in_embedding_config_blocked(self):
"""Smuggling ``api_base`` inside ``litellm_embedding_config`` is
the VERIA-6 bypass — must be blocked by the recursive check."""
with pytest.raises(ValueError, match="api_base"):
is_request_body_safe(
request_body={
"litellm_embedding_config": {
"api_base": "https://attacker.example.com",
"api_key": "leaked-key",
}
},
general_settings={},
llm_router=None,
model="milvus-store",
)
def test_nested_langfuse_host_in_embedding_config_blocked(self):
"""The recursion uses the *full* banned-param list, not a special
subset — so any flag that's banned at the root is also banned
when nested."""
with pytest.raises(ValueError, match="langfuse_host"):
is_request_body_safe(
request_body={
"litellm_embedding_config": {
"langfuse_host": "https://attacker.example.com"
}
},
general_settings={},
llm_router=None,
model="milvus-store",
)
def test_nested_api_base_allowed_when_admin_opts_in(self):
"""Admins who explicitly enable client-side credential passthrough
keep the existing escape hatch — same UX as for root-level."""
assert (
is_request_body_safe(
request_body={
"litellm_embedding_config": {
"api_base": "https://my-azure.example.com"
}
},
general_settings={"allow_client_side_credentials": True},
llm_router=None,
model="milvus-store",
)
is True
)
def test_safe_nested_config_accepted(self):
"""A nested config without any banned params passes — there's no
false-positive on legitimate ``api_version`` / model params."""
assert (
is_request_body_safe(
request_body={
"litellm_embedding_config": {
"api_version": "2024-02-15-preview",
}
},
general_settings={},
llm_router=None,
model="milvus-store",
)
is True
)
def test_non_dict_nested_config_does_not_break_check(self):
"""A bogus type for ``litellm_embedding_config`` (string, list,
None) must not crash the validator — it should just fall through."""
assert (
is_request_body_safe(
request_body={"litellm_embedding_config": "not-a-dict"},
general_settings={},
llm_router=None,
model="x",
)
is True
)
def test_deeply_nested_config_does_not_recurse(self):
"""Greptile P1: ``is_request_body_safe`` is iterative single-level —
a deeply-nested ``litellm_embedding_config`` cannot exhaust the
Python call stack to trigger a 500 ``RecursionError``. Build a
body 1000 levels deep; the validator must complete in O(1)
descent."""
body = {"litellm_embedding_config": {}}
cur = body["litellm_embedding_config"]
for _ in range(1000):
cur["litellm_embedding_config"] = {}
cur = cur["litellm_embedding_config"]
# Banned param at the deepest level shouldn't be reached — single
# level only.
cur["api_base"] = "https://attacker.example.com"
# No exception raised: deeper levels aren't checked.
assert (
is_request_body_safe(
request_body=body,
general_settings={},
llm_router=None,
model="x",
)
is True
)
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