litellm/tests/local_testing/test_user_api_key_auth.py
Krish Dholakia ba28e52ee8
Litellm lm studio embedding params (#6746)
* fix(ollama.py): fix get model info request

Fixes https://github.com/BerriAI/litellm/issues/6703

* feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param

* docs(anthropic.md): document all supported openai params for anthropic

* test: fix tests

* fix: fix tests

* feat(jina_ai/): add rerank support

Closes https://github.com/BerriAI/litellm/issues/6691

* test: handle service unavailable error

* fix(handler.py): refactor together ai rerank call

* test: update test to handle overloaded error

* test: fix test

* Litellm router trace (#6742)

* feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks

* feat(router.py): log trace id across retry/fallback logic

allows grouping llm logs for the same request

* test: fix tests

* fix: fix test

* fix(transformation.py): only set non-none stop_sequences

* Litellm router disable fallbacks (#6743)

* bump: version 1.52.6 → 1.52.7

* feat(router.py): enable dynamically disabling fallbacks

Allows for enabling/disabling fallbacks per key

* feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key

* test: fix test

* fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error

* fix(lm_studio/embed): support translating lm studio optional params

'

* feat(auth_checks.py): fix auth check inside route - `/team/list`

Fixes regression where non-admin w/ user_id=None able to query all teams

* docs proxy_budget_rescheduler_min_time

* helm run DISABLE_SCHEMA_UPDATE

* docs helm pre sync hook

* fix migration job.yaml

* fix DATABASE_URL

* use existing spec for migrations job

* fix yaml on migrations job

* fix migration job

* update doc on pre sync hook

* fix migrations-job.yaml

* fix migration job

* fix prisma migration

* test - handle eol model claude-2, use claude-2.1 instead

* (docs) add instructions on how to contribute to docker image

* Update code blocks huggingface.md (#6737)

* Update prefix.md (#6734)

* fix test_supports_response_schema

* mark Helm PreSyn as BETA

* (Feat) Add support for storing virtual keys in AWS SecretManager  (#6728)

* add SecretManager to httpxSpecialProvider

* fix importing AWSSecretsManagerV2

* add unit testing for writing keys to AWS secret manager

* use KeyManagementEventHooks for key/generated events

* us event hooks for key management endpoints

* working AWSSecretsManagerV2

* fix write secret to AWS secret manager on /key/generate

* fix KeyManagementSettings

* use tasks for key management hooks

* add async_delete_secret

* add test for async_delete_secret

* use _delete_virtual_keys_from_secret_manager

* fix test secret manager

* test_key_generate_with_secret_manager_call

* fix check for key_management_settings

* sync_read_secret

* test_aws_secret_manager

* fix sync_read_secret

* use helper to check when _should_read_secret_from_secret_manager

* test_get_secret_with_access_mode

* test - handle eol model claude-2, use claude-2.1 instead

* docs AWS secret manager

* fix test_read_nonexistent_secret

* fix test_supports_response_schema

* ci/cd run again

* LiteLLM Minor Fixes & Improvement (11/14/2024)  (#6730)

* fix(ollama.py): fix get model info request

Fixes https://github.com/BerriAI/litellm/issues/6703

* feat(anthropic/chat/transformation.py): support passing user id to anthropic via openai 'user' param

* docs(anthropic.md): document all supported openai params for anthropic

* test: fix tests

* fix: fix tests

* feat(jina_ai/): add rerank support

Closes https://github.com/BerriAI/litellm/issues/6691

* test: handle service unavailable error

* fix(handler.py): refactor together ai rerank call

* test: update test to handle overloaded error

* test: fix test

* Litellm router trace (#6742)

* feat(router.py): add trace_id to parent functions - allows tracking retry/fallbacks

* feat(router.py): log trace id across retry/fallback logic

allows grouping llm logs for the same request

* test: fix tests

* fix: fix test

* fix(transformation.py): only set non-none stop_sequences

* Litellm router disable fallbacks (#6743)

* bump: version 1.52.6 → 1.52.7

* feat(router.py): enable dynamically disabling fallbacks

Allows for enabling/disabling fallbacks per key

* feat(litellm_pre_call_utils.py): support setting 'disable_fallbacks' on litellm key

* test: fix test

* fix(exception_mapping_utils.py): map 'model is overloaded' to internal server error

* test: handle gemini error

* test: fix test

* fix: new run

* bump: version 1.52.7 → 1.52.8

* docs: add docs on jina ai rerank support

* docs(reliability.md): add tutorial on disabling fallbacks per key

* docs(logging.md): add 'trace_id' param to standard logging payload

* (feat) add bedrock/stability.stable-image-ultra-v1:0 (#6723)

* add stability.stable-image-ultra-v1:0

* add pricing for stability.stable-image-ultra-v1:0

* fix test_supports_response_schema

* ci/cd run again

* [Feature]: Stop swallowing up AzureOpenAi exception responses in litellm's implementation for a BadRequestError (#6745)

* fix azure exceptions

* test_bad_request_error_contains_httpx_response

* test_bad_request_error_contains_httpx_response

* use safe access to get exception response

* fix get attr

* [Feature]: json_schema in response support for Anthropic  (#6748)

* _convert_tool_response_to_message

* fix ModelResponseIterator

* fix test_json_response_format

* test_json_response_format_stream

* fix _convert_tool_response_to_message

* use helper _handle_json_mode_chunk

* fix _process_response

* unit testing for test_convert_tool_response_to_message_no_arguments

* update doc for JSON mode

* fix: import audio check (#6740)

* fix imagegeneration output_cost_per_image on model cost map (#6752)

* (feat) Vertex AI - add support for fine tuned embedding models  (#6749)

* fix use fine tuned vertex embedding models

* test_vertex_embedding_url

* add _transform_openai_request_to_fine_tuned_embedding_request

* add _transform_openai_request_to_fine_tuned_embedding_request

* add transform_openai_request_to_vertex_embedding_request

* add _transform_vertex_response_to_openai_for_fine_tuned_models

* test_vertexai_embedding for ft models

* fix test_vertexai_embedding_finetuned

* doc fine tuned / custom embedding models

* fix test test_partner_models_httpx

* bump: version 1.52.8 → 1.52.9

* LiteLLM Minor Fixes & Improvements (11/13/2024)  (#6729)

* fix(utils.py): add logprobs support for together ai

Fixes

https://github.com/BerriAI/litellm/issues/6724

* feat(pass_through_endpoints/): add anthropic/ pass-through endpoint

adds new `anthropic/` pass-through endpoint + refactors docs

* feat(spend_management_endpoints.py): allow /global/spend/report to query team + customer id

enables seeing spend for a customer in a team

* Add integration with MLflow Tracing (#6147)

* Add MLflow logger

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* Streaming handling

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* lint

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* address comments and fix issues

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* address comments and fix issues

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* Move logger construction code

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* Add docs

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* async handlers

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* new picture

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

---------

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

* fix(mlflow.py): fix ruff linting errors

* ci(config.yml): add mlflow to ci testing

* fix: fix test

* test: fix test

* Litellm key update fix (#6710)

* fix(caching): convert arg to equivalent kwargs in llm caching handler

prevent unexpected errors

* fix(caching_handler.py): don't pass args to caching

* fix(caching): remove all *args from caching.py

* fix(caching): consistent function signatures + abc method

* test(caching_unit_tests.py): add unit tests for llm caching

ensures coverage for common caching scenarios across different implementations

* refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one

* fix(router.py): drop redis password requirement

* fix(proxy_server.py): fix faulty slack alerting check

* fix(langfuse.py): avoid copying functions/thread lock objects in metadata

fixes metadata copy error when parent otel span in metadata

* test: update test

* fix(key_management_endpoints.py): fix /key/update with metadata update

* fix(key_management_endpoints.py): fix key_prepare_update helper

* fix(key_management_endpoints.py): reset value to none if set in key update

* fix: update test

'

* Litellm dev 11 11 2024 (#6693)

* fix(__init__.py): add 'watsonx_text' as mapped llm api route

Fixes https://github.com/BerriAI/litellm/issues/6663

* fix(opentelemetry.py): fix passing parallel tool calls to otel

Fixes https://github.com/BerriAI/litellm/issues/6677

* refactor(test_opentelemetry_unit_tests.py): create a base set of unit tests for all logging integrations - test for parallel tool call handling

reduces bugs in repo

* fix(__init__.py): update provider-model mapping to include all known provider-model mappings

Fixes https://github.com/BerriAI/litellm/issues/6669

* feat(anthropic): support passing document in llm api call

* docs(anthropic.md): add pdf anthropic call to docs + expose new 'supports_pdf_input' function

* fix(factory.py): fix linting error

* add clear doc string for GCS bucket logging

* Add docs to export logs to Laminar (#6674)

* Add docs to export logs to Laminar

* minor fix: newline at end of file

* place laminar after http and grpc

* (Feat) Add langsmith key based logging (#6682)

* add langsmith_api_key to StandardCallbackDynamicParams

* create a file for langsmith types

* langsmith add key / team based logging

* add key based logging for langsmith

* fix langsmith key based logging

* fix linting langsmith

* remove NOQA violation

* add unit test coverage for all helpers in test langsmith

* test_langsmith_key_based_logging

* docs langsmith key based logging

* run langsmith tests in logging callback tests

* fix logging testing

* test_langsmith_key_based_logging

* test_add_callback_via_key_litellm_pre_call_utils_langsmith

* add debug statement langsmith key based logging

* test_langsmith_key_based_logging

* (fix) OpenAI's optional messages[].name  does not work with Mistral API  (#6701)

* use helper for _transform_messages mistral

* add test_message_with_name to base LLMChat test

* fix linting

* add xAI on Admin UI (#6680)

* (docs) add benchmarks on 1K RPS  (#6704)

* docs litellm proxy benchmarks

* docs GCS bucket

* doc fix - reduce clutter on logging doc title

* (feat) add cost tracking stable diffusion 3 on Bedrock  (#6676)

* add cost tracking for sd3

* test_image_generation_bedrock

* fix get model info for image cost

* add cost_calculator for stability 1 models

* add unit testing for bedrock image cost calc

* test_cost_calculator_with_no_optional_params

* add test_cost_calculator_basic

* correctly allow size Optional

* fix cost_calculator

* sd3 unit tests cost calc

* fix raise correct error 404 when /key/info is called on non-existent key  (#6653)

* fix raise correct error on /key/info

* add not_found_error error

* fix key not found in DB error

* use 1 helper for checking token hash

* fix error code on key info

* fix test key gen prisma

* test_generate_and_call_key_info

* test fix test_call_with_valid_model_using_all_models

* fix key info tests

* bump: version 1.52.4 → 1.52.5

* add defaults used for GCS logging

* LiteLLM Minor Fixes & Improvements (11/12/2024)  (#6705)

* fix(caching): convert arg to equivalent kwargs in llm caching handler

prevent unexpected errors

* fix(caching_handler.py): don't pass args to caching

* fix(caching): remove all *args from caching.py

* fix(caching): consistent function signatures + abc method

* test(caching_unit_tests.py): add unit tests for llm caching

ensures coverage for common caching scenarios across different implementations

* refactor(litellm_logging.py): move to using cache key from hidden params instead of regenerating one

* fix(router.py): drop redis password requirement

* fix(proxy_server.py): fix faulty slack alerting check

* fix(langfuse.py): avoid copying functions/thread lock objects in metadata

fixes metadata copy error when parent otel span in metadata

* test: update test

* bump: version 1.52.5 → 1.52.6

* (feat) helm hook to sync db schema  (#6715)

* v0 migration job

* fix job

* fix migrations job.yml

* handle standalone DB on helm hook

* fix argo cd annotations

* fix db migration helm hook

* fix migration job

* doc fix Using Http/2 with Hypercorn

* (fix proxy redis) Add redis sentinel support  (#6154)

* add sentinel_password support

* add doc for setting redis sentinel password

* fix redis sentinel - use sentinel password

* Fix: Update gpt-4o costs to that of gpt-4o-2024-08-06 (#6714)

Fixes #6713

* (fix) using Anthropic `response_format={"type": "json_object"}`  (#6721)

* add support for response_format=json anthropic

* add test_json_response_format to baseLLM ChatTest

* fix test_litellm_anthropic_prompt_caching_tools

* fix test_anthropic_function_call_with_no_schema

* test test_create_json_tool_call_for_response_format

* (feat) Add cost tracking for Azure Dall-e-3 Image Generation  + use base class to ensure basic image generation tests pass  (#6716)

* add BaseImageGenTest

* use 1 class for unit testing

* add debugging to BaseImageGenTest

* TestAzureOpenAIDalle3

* fix response_cost_calculator

* test_basic_image_generation

* fix img gen basic test

* fix _select_model_name_for_cost_calc

* fix test_aimage_generation_bedrock_with_optional_params

* fix undo changes cost tracking

* fix response_cost_calculator

* fix test_cost_azure_gpt_35

* fix remove dup test (#6718)

* (build) update db helm hook

* (build) helm db pre sync hook

* (build) helm db sync hook

* test: run test_team_logging firdst

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com>
Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de>

* test: update test

* test: skip anthropic overloaded error

* test: cleanup test

* test: update tests

* test: fix test

* test: handle gemini overloaded model error

* test: handle internal server error

* test: handle anthropic overloaded error

* test: handle claude instability

---------

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com>
Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de>

---------

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Jongseob Jeon <aiden.jongseob@gmail.com>
Co-authored-by: Camden Clark <camdenaws@gmail.com>
Co-authored-by: Rasswanth <61219215+IamRash-7@users.noreply.github.com>
Co-authored-by: Yuki Watanabe <31463517+B-Step62@users.noreply.github.com>
Co-authored-by: Dinmukhamed Mailibay <47117969+dinmukhamedm@users.noreply.github.com>
Co-authored-by: Kilian Lieret <kilian.lieret@posteo.de>
2024-11-19 09:54:50 +05:30

417 lines
13 KiB
Python

# What is this?
## Unit tests for user_api_key_auth helper functions
import os
import sys
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
from typing import Dict, List, Optional
from unittest.mock import MagicMock, patch, AsyncMock
import pytest
from starlette.datastructures import URL
import litellm
from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
class Request:
def __init__(self, client_ip: Optional[str] = None, headers: Optional[dict] = None):
self.client = MagicMock()
self.client.host = client_ip
self.headers: Dict[str, str] = {}
@pytest.mark.parametrize(
"allowed_ips, client_ip, expected_result",
[
(None, "127.0.0.1", True), # No IP restrictions, should be allowed
(["127.0.0.1"], "127.0.0.1", True), # IP in allowed list
(["192.168.1.1"], "127.0.0.1", False), # IP not in allowed list
([], "127.0.0.1", False), # Empty allowed list, no IP should be allowed
(["192.168.1.1", "10.0.0.1"], "10.0.0.1", True), # IP in allowed list
(
["192.168.1.1"],
None,
False,
), # Request with no client IP should not be allowed
],
)
def test_check_valid_ip(
allowed_ips: Optional[List[str]], client_ip: Optional[str], expected_result: bool
):
from litellm.proxy.auth.auth_utils import _check_valid_ip
request = Request(client_ip)
assert _check_valid_ip(allowed_ips, request)[0] == expected_result # type: ignore
# test x-forwarder for is used when user has opted in
@pytest.mark.parametrize(
"allowed_ips, client_ip, expected_result",
[
(None, "127.0.0.1", True), # No IP restrictions, should be allowed
(["127.0.0.1"], "127.0.0.1", True), # IP in allowed list
(["192.168.1.1"], "127.0.0.1", False), # IP not in allowed list
([], "127.0.0.1", False), # Empty allowed list, no IP should be allowed
(["192.168.1.1", "10.0.0.1"], "10.0.0.1", True), # IP in allowed list
(
["192.168.1.1"],
None,
False,
), # Request with no client IP should not be allowed
],
)
def test_check_valid_ip_sent_with_x_forwarded_for(
allowed_ips: Optional[List[str]], client_ip: Optional[str], expected_result: bool
):
from litellm.proxy.auth.auth_utils import _check_valid_ip
request = Request(client_ip, headers={"X-Forwarded-For": client_ip})
assert _check_valid_ip(allowed_ips, request, use_x_forwarded_for=True)[0] == expected_result # type: ignore
@pytest.mark.asyncio
async def test_check_blocked_team():
"""
cached valid_token obj has team_blocked = true
cached team obj has team_blocked = false
assert team is not blocked
"""
import asyncio
import time
from fastapi import Request
from starlette.datastructures import URL
from litellm.proxy._types import (
LiteLLM_TeamTable,
LiteLLM_TeamTableCachedObj,
UserAPIKeyAuth,
)
from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
from litellm.proxy.proxy_server import hash_token, user_api_key_cache
_team_id = "1234"
user_key = "sk-12345678"
valid_token = UserAPIKeyAuth(
team_id=_team_id,
team_blocked=True,
token=hash_token(user_key),
last_refreshed_at=time.time(),
)
await asyncio.sleep(1)
team_obj = LiteLLM_TeamTableCachedObj(
team_id=_team_id, blocked=False, last_refreshed_at=time.time()
)
hashed_token = hash_token(user_key)
print(f"STORING TOKEN UNDER KEY={hashed_token}")
user_api_key_cache.set_cache(key=hashed_token, value=valid_token)
user_api_key_cache.set_cache(key="team_id:{}".format(_team_id), value=team_obj)
setattr(litellm.proxy.proxy_server, "user_api_key_cache", user_api_key_cache)
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
setattr(litellm.proxy.proxy_server, "prisma_client", "hello-world")
request = Request(scope={"type": "http"})
request._url = URL(url="/chat/completions")
await user_api_key_auth(request=request, api_key="Bearer " + user_key)
@pytest.mark.parametrize(
"user_role, expected_role",
[
("app_user", "internal_user"),
("internal_user", "internal_user"),
("proxy_admin_viewer", "proxy_admin_viewer"),
],
)
def test_returned_user_api_key_auth(user_role, expected_role):
from litellm.proxy._types import LiteLLM_UserTable, LitellmUserRoles
from litellm.proxy.auth.user_api_key_auth import _return_user_api_key_auth_obj
from datetime import datetime
new_obj = _return_user_api_key_auth_obj(
user_obj=LiteLLM_UserTable(
user_role=user_role, user_id="", max_budget=None, user_email=""
),
api_key="hello-world",
parent_otel_span=None,
valid_token_dict={},
route="/chat/completion",
start_time=datetime.now(),
)
assert new_obj.user_role == expected_role
@pytest.mark.parametrize("key_ownership", ["user_key", "team_key"])
@pytest.mark.asyncio
async def test_aaauser_personal_budgets(key_ownership):
"""
Set a personal budget on a user
- have it only apply when key belongs to user -> raises BudgetExceededError
- if key belongs to team, have key respect team budget -> allows call to go through
"""
import asyncio
import time
from fastapi import Request
from starlette.datastructures import URL
import litellm
from litellm.proxy._types import LiteLLM_UserTable, UserAPIKeyAuth
from litellm.proxy.auth.user_api_key_auth import user_api_key_auth
from litellm.proxy.proxy_server import hash_token, user_api_key_cache
_user_id = "1234"
user_key = "sk-12345678"
if key_ownership == "user_key":
valid_token = UserAPIKeyAuth(
token=hash_token(user_key),
last_refreshed_at=time.time(),
user_id=_user_id,
spend=20,
)
elif key_ownership == "team_key":
valid_token = UserAPIKeyAuth(
token=hash_token(user_key),
last_refreshed_at=time.time(),
user_id=_user_id,
team_id="my-special-team",
team_max_budget=100,
spend=20,
)
user_obj = LiteLLM_UserTable(
user_id=_user_id, spend=11, max_budget=10, user_email=""
)
user_api_key_cache.set_cache(key=hash_token(user_key), value=valid_token)
user_api_key_cache.set_cache(key="{}".format(_user_id), value=user_obj)
setattr(litellm.proxy.proxy_server, "user_api_key_cache", user_api_key_cache)
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
setattr(litellm.proxy.proxy_server, "prisma_client", "hello-world")
request = Request(scope={"type": "http"})
request._url = URL(url="/chat/completions")
test_user_cache = getattr(litellm.proxy.proxy_server, "user_api_key_cache")
assert test_user_cache.get_cache(key=hash_token(user_key)) == valid_token
try:
await user_api_key_auth(request=request, api_key="Bearer " + user_key)
if key_ownership == "user_key":
pytest.fail("Expected this call to fail. User is over limit.")
except Exception:
if key_ownership == "team_key":
pytest.fail("Expected this call to work. Key is below team budget.")
@pytest.mark.asyncio
@pytest.mark.parametrize("prohibited_param", ["api_base", "base_url"])
async def test_user_api_key_auth_fails_with_prohibited_params(prohibited_param):
"""
Relevant issue: https://huntr.com/bounties/4001e1a2-7b7a-4776-a3ae-e6692ec3d997
"""
import json
from fastapi import Request
# Setup
user_key = "sk-1234"
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
# Create request with prohibited parameter in body
request = Request(scope={"type": "http"})
request._url = URL(url="/chat/completions")
async def return_body():
body = {prohibited_param: "https://custom-api.com"}
return bytes(json.dumps(body), "utf-8")
request.body = return_body
try:
response = await user_api_key_auth(
request=request, api_key="Bearer " + user_key
)
except Exception as e:
print("error str=", str(e))
error_message = str(e.message)
print("error message=", error_message)
assert "is not allowed in request body" in error_message
@pytest.mark.asyncio()
@pytest.mark.parametrize(
"route, should_raise_error",
[
("/embeddings", False),
("/chat/completions", True),
("/completions", True),
("/models", True),
("/v1/embeddings", True),
],
)
async def test_auth_with_allowed_routes(route, should_raise_error):
# Setup
user_key = "sk-1234"
general_settings = {"allowed_routes": ["/embeddings"]}
from fastapi import Request
from litellm.proxy import proxy_server
initial_general_settings = getattr(proxy_server, "general_settings")
setattr(proxy_server, "master_key", "sk-1234")
setattr(proxy_server, "general_settings", general_settings)
request = Request(scope={"type": "http"})
request._url = URL(url=route)
if should_raise_error:
try:
await user_api_key_auth(request=request, api_key="Bearer " + user_key)
pytest.fail("Expected this call to fail. User is over limit.")
except Exception as e:
print("error str=", str(e.message))
error_str = str(e.message)
assert "Route" in error_str and "not allowed" in error_str
pass
else:
await user_api_key_auth(request=request, api_key="Bearer " + user_key)
setattr(proxy_server, "general_settings", initial_general_settings)
@pytest.mark.parametrize(
"route, user_role, expected_result",
[
# Proxy Admin checks
("/global/spend/logs", "proxy_admin", True),
("/key/delete", "proxy_admin", False),
("/key/generate", "proxy_admin", False),
("/key/regenerate", "proxy_admin", False),
# Internal User checks - allowed routes
("/global/spend/logs", "internal_user", True),
("/key/delete", "internal_user", False),
("/key/generate", "internal_user", False),
("/key/82akk800000000jjsk/regenerate", "internal_user", False),
# Internal User Viewer
("/key/generate", "internal_user_viewer", False),
# Internal User checks - disallowed routes
("/organization/member_add", "internal_user", False),
],
)
def test_is_ui_route_allowed(route, user_role, expected_result):
from litellm.proxy.auth.user_api_key_auth import _is_ui_route
from litellm.proxy._types import LiteLLM_UserTable
user_obj = LiteLLM_UserTable(
user_id="3b803c0e-666e-4e99-bd5c-6e534c07e297",
max_budget=None,
spend=0.0,
model_max_budget={},
model_spend={},
user_email="my-test-email@1234.com",
models=[],
tpm_limit=None,
rpm_limit=None,
user_role=user_role,
organization_memberships=[],
)
received_args: dict = {
"route": route,
"user_obj": user_obj,
}
try:
assert _is_ui_route(**received_args) == expected_result
except Exception as e:
# If expected result is False, we expect an error
if expected_result is False:
pass
else:
raise e
@pytest.mark.parametrize(
"route, user_role, expected_result",
[
("/key/generate", "internal_user_viewer", False),
],
)
def test_is_api_route_allowed(route, user_role, expected_result):
from litellm.proxy.auth.user_api_key_auth import _is_api_route_allowed
from litellm.proxy._types import LiteLLM_UserTable
user_obj = LiteLLM_UserTable(
user_id="3b803c0e-666e-4e99-bd5c-6e534c07e297",
max_budget=None,
spend=0.0,
model_max_budget={},
model_spend={},
user_email="my-test-email@1234.com",
models=[],
tpm_limit=None,
rpm_limit=None,
user_role=user_role,
organization_memberships=[],
)
received_args: dict = {
"route": route,
"user_obj": user_obj,
}
try:
assert _is_api_route_allowed(**received_args) == expected_result
except Exception as e:
# If expected result is False, we expect an error
if expected_result is False:
pass
else:
raise e
from litellm.proxy._types import LitellmUserRoles
@pytest.mark.parametrize(
"user_role, auth_user_id, requested_user_id, expected_result",
[
(LitellmUserRoles.PROXY_ADMIN, "1234", None, True),
(LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, None, "1234", True),
(LitellmUserRoles.TEAM, "1234", None, False),
(LitellmUserRoles.TEAM, None, None, False),
(LitellmUserRoles.TEAM, "1234", "1234", True),
],
)
def test_allowed_route_inside_route(
user_role, auth_user_id, requested_user_id, expected_result
):
from litellm.proxy.auth.auth_checks import allowed_route_check_inside_route
from litellm.proxy._types import UserAPIKeyAuth, LitellmUserRoles
assert (
allowed_route_check_inside_route(
user_api_key_dict=UserAPIKeyAuth(user_role=user_role, user_id=auth_user_id),
requested_user_id=requested_user_id,
)
== expected_result
)