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505 lines
18 KiB
Python
505 lines
18 KiB
Python
# Test the following scenarios:
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# 1. Generate a Key, and use it to make a call
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# 2. Make a call with invalid key, expect it to fail
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# 3. Make a call to a key with invalid model - expect to fail
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# 4. Make a call to a key with valid model - expect to pass
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# 5. Make a call with key over budget, expect to fail
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# 6. Make a streaming chat/completions call with key over budget, expect to fail
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# function to call to generate key - async def new_user(data: NewUserRequest):
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# function to validate a request - async def user_auth(request: Request):
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import sys, os
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import traceback
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from dotenv import load_dotenv
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from fastapi import Request
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load_dotenv()
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import os, io
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# this file is to test litellm/proxy
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import pytest, logging, asyncio
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import litellm, asyncio
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from litellm.proxy.proxy_server import (
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new_user,
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user_api_key_auth,
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user_update,
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generate_key_fn,
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)
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from litellm.proxy._types import NewUserRequest, DynamoDBArgs, GenerateKeyRequest
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from litellm.proxy.utils import DBClient, hash_token
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from starlette.datastructures import URL
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request_data = {
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"model": "azure-gpt-3.5",
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"messages": [
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{"role": "user", "content": "this is my new test. respond in 50 lines"}
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],
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}
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@pytest.fixture
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def custom_db_client():
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# Assuming DBClient is a class that needs to be instantiated
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db_args = {
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"ssl_verify": False,
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"billing_mode": "PAY_PER_REQUEST",
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"region_name": "us-west-2",
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}
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custom_db_client = DBClient(
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custom_db_type="dynamo_db",
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custom_db_args=db_args,
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)
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# Reset litellm.proxy.proxy_server.prisma_client to None
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litellm.proxy.proxy_server.prisma_client = None
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return custom_db_client
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def test_generate_and_call_with_valid_key(custom_db_client):
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# 1. Generate a Key, and use it to make a call
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setattr(litellm.proxy.proxy_server, "custom_db_client", custom_db_client)
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setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
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try:
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async def test():
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request = NewUserRequest()
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key = await new_user(request)
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print(key)
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generated_key = key.key
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bearer_token = "Bearer " + generated_key
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request = Request(scope={"type": "http"})
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request._url = URL(url="/chat/completions")
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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asyncio.run(test())
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except Exception as e:
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pytest.fail(f"An exception occurred - {str(e)}")
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def test_call_with_invalid_key(custom_db_client):
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# 2. Make a call with invalid key, expect it to fail
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setattr(litellm.proxy.proxy_server, "custom_db_client", custom_db_client)
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setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
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try:
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async def test():
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generated_key = "bad-key"
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bearer_token = "Bearer " + generated_key
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request = Request(scope={"type": "http"}, receive=None)
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request._url = URL(url="/chat/completions")
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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pytest.fail(f"This should have failed!. IT's an invalid key")
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asyncio.run(test())
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except Exception as e:
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print("Got Exception", e)
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print(e.message)
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assert "Authentication Error" in e.message
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pass
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def test_call_with_invalid_model(custom_db_client):
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# 3. Make a call to a key with an invalid model - expect to fail
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from litellm._logging import verbose_proxy_logger
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import logging
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verbose_proxy_logger.setLevel(logging.DEBUG)
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setattr(litellm.proxy.proxy_server, "custom_db_client", custom_db_client)
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setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
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try:
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async def test():
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request = NewUserRequest(models=["mistral"])
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key = await new_user(request)
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print(key)
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generated_key = key.key
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bearer_token = "Bearer " + generated_key
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request = Request(scope={"type": "http"})
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request._url = URL(url="/chat/completions")
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async def return_body():
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return b'{"model": "gemini-pro-vision"}'
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request.body = return_body
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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pytest.fail(f"This should have failed!. IT's an invalid model")
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asyncio.run(test())
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except Exception as e:
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assert (
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e.message
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== "Authentication Error, API Key not allowed to access model. This token can only access models=['mistral']. Tried to access gemini-pro-vision"
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)
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pass
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def test_call_with_valid_model(custom_db_client):
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# 4. Make a call to a key with a valid model - expect to pass
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setattr(litellm.proxy.proxy_server, "custom_db_client", custom_db_client)
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setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
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try:
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async def test():
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request = NewUserRequest(models=["mistral"])
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key = await new_user(request)
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print(key)
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generated_key = key.key
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bearer_token = "Bearer " + generated_key
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request = Request(scope={"type": "http"})
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request._url = URL(url="/chat/completions")
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async def return_body():
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return b'{"model": "mistral"}'
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request.body = return_body
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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asyncio.run(test())
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except Exception as e:
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pytest.fail(f"An exception occurred - {str(e)}")
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def test_call_with_user_over_budget(custom_db_client):
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# 5. Make a call with a key over budget, expect to fail
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setattr(litellm.proxy.proxy_server, "custom_db_client", custom_db_client)
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setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
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from litellm._logging import verbose_proxy_logger, verbose_logger
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import logging
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litellm.set_verbose = True
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verbose_logger.setLevel(logging.DEBUG)
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verbose_proxy_logger.setLevel(logging.DEBUG)
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try:
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async def test():
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request = NewUserRequest(max_budget=0.00001)
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key = await new_user(request)
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print(key)
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generated_key = key.key
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user_id = key.user_id
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bearer_token = "Bearer " + generated_key
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request = Request(scope={"type": "http"})
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request._url = URL(url="/chat/completions")
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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# update spend using track_cost callback, make 2nd request, it should fail
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from litellm.proxy.proxy_server import (
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_PROXY_track_cost_callback as track_cost_callback,
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)
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from litellm import ModelResponse, Choices, Message, Usage
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resp = ModelResponse(
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id="chatcmpl-e41836bb-bb8b-4df2-8e70-8f3e160155ac",
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choices=[
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Choices(
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finish_reason=None,
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index=0,
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message=Message(
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content=" Sure! Here is a short poem about the sky:\n\nA canvas of blue, a",
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role="assistant",
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),
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)
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],
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model="gpt-35-turbo", # azure always has model written like this
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usage=Usage(prompt_tokens=210, completion_tokens=200, total_tokens=410),
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)
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await track_cost_callback(
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kwargs={
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"stream": False,
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"litellm_params": {
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"metadata": {
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"user_api_key": hash_token(generated_key),
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"user_api_key_user_id": user_id,
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}
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},
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"response_cost": 0.00002,
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},
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completion_response=resp,
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)
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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pytest.fail(f"This should have failed!. They key crossed it's budget")
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asyncio.run(test())
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except Exception as e:
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error_detail = e.message
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assert "Authentication Error, ExceededBudget:" in error_detail
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print(vars(e))
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def test_call_with_user_over_budget_stream(custom_db_client):
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# 6. Make a call with a key over budget, expect to fail
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setattr(litellm.proxy.proxy_server, "custom_db_client", custom_db_client)
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setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
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from litellm._logging import verbose_proxy_logger
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import logging
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litellm.set_verbose = True
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verbose_proxy_logger.setLevel(logging.DEBUG)
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try:
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async def test():
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request = NewUserRequest(max_budget=0.00001)
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key = await new_user(request)
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print(key)
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generated_key = key.key
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user_id = key.user_id
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bearer_token = "Bearer " + generated_key
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request = Request(scope={"type": "http"})
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request._url = URL(url="/chat/completions")
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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# update spend using track_cost callback, make 2nd request, it should fail
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from litellm.proxy.proxy_server import track_cost_callback
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from litellm import ModelResponse, Choices, Message, Usage
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resp = ModelResponse(
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id="chatcmpl-e41836bb-bb8b-4df2-8e70-8f3e160155ac",
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choices=[
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Choices(
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finish_reason=None,
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index=0,
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message=Message(
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content=" Sure! Here is a short poem about the sky:\n\nA canvas of blue, a",
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role="assistant",
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),
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)
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],
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model="gpt-35-turbo", # azure always has model written like this
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usage=Usage(prompt_tokens=210, completion_tokens=200, total_tokens=410),
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)
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await track_cost_callback(
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kwargs={
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"stream": True,
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"complete_streaming_response": resp,
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"litellm_params": {
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"metadata": {
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"user_api_key": hash_token(generated_key),
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"user_api_key_user_id": user_id,
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}
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},
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"response_cost": 0.00002,
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},
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completion_response=ModelResponse(),
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)
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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pytest.fail(f"This should have failed!. They key crossed it's budget")
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asyncio.run(test())
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except Exception as e:
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error_detail = e.message
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assert "Authentication Error, ExceededBudget:" in error_detail
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print(vars(e))
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def test_call_with_user_key_budget(custom_db_client):
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# 7. Make a call with a key over budget, expect to fail
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setattr(litellm.proxy.proxy_server, "custom_db_client", custom_db_client)
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setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
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from litellm._logging import verbose_proxy_logger
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import logging
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verbose_proxy_logger.setLevel(logging.DEBUG)
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try:
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async def test():
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request = GenerateKeyRequest(max_budget=0.00001)
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key = await generate_key_fn(request)
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print(key)
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generated_key = key.key
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user_id = key.user_id
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bearer_token = "Bearer " + generated_key
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request = Request(scope={"type": "http"})
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request._url = URL(url="/chat/completions")
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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# update spend using track_cost callback, make 2nd request, it should fail
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from litellm.proxy.proxy_server import track_cost_callback
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from litellm import ModelResponse, Choices, Message, Usage
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resp = ModelResponse(
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id="chatcmpl-e41836bb-bb8b-4df2-8e70-8f3e160155ac",
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choices=[
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Choices(
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finish_reason=None,
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index=0,
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message=Message(
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content=" Sure! Here is a short poem about the sky:\n\nA canvas of blue, a",
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role="assistant",
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),
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)
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],
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model="gpt-35-turbo", # azure always has model written like this
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usage=Usage(prompt_tokens=210, completion_tokens=200, total_tokens=410),
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)
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await track_cost_callback(
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kwargs={
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"stream": False,
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"litellm_params": {
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"metadata": {
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"user_api_key": hash_token(generated_key),
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"user_api_key_user_id": user_id,
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}
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},
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"response_cost": 0.00002,
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},
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completion_response=resp,
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)
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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pytest.fail(f"This should have failed!. They key crossed it's budget")
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asyncio.run(test())
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except Exception as e:
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error_detail = e.message
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assert "Authentication Error, ExceededTokenBudget:" in error_detail
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print(vars(e))
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def test_call_with_key_over_budget_stream(custom_db_client):
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# 8. Make a call with a key over budget, expect to fail
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setattr(litellm.proxy.proxy_server, "custom_db_client", custom_db_client)
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setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
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from litellm._logging import verbose_proxy_logger
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import logging
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litellm.set_verbose = True
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verbose_proxy_logger.setLevel(logging.DEBUG)
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try:
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async def test():
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request = GenerateKeyRequest(max_budget=0.00001)
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key = await generate_key_fn(request)
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print(key)
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generated_key = key.key
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user_id = key.user_id
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bearer_token = "Bearer " + generated_key
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request = Request(scope={"type": "http"})
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request._url = URL(url="/chat/completions")
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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# update spend using track_cost callback, make 2nd request, it should fail
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from litellm.proxy.proxy_server import track_cost_callback
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from litellm import ModelResponse, Choices, Message, Usage
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resp = ModelResponse(
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id="chatcmpl-e41836bb-bb8b-4df2-8e70-8f3e160155ac",
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choices=[
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Choices(
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finish_reason=None,
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index=0,
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message=Message(
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content=" Sure! Here is a short poem about the sky:\n\nA canvas of blue, a",
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role="assistant",
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),
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)
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],
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model="gpt-35-turbo", # azure always has model written like this
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usage=Usage(prompt_tokens=210, completion_tokens=200, total_tokens=410),
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)
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await track_cost_callback(
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kwargs={
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"stream": True,
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"complete_streaming_response": resp,
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"litellm_params": {
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"metadata": {
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"user_api_key": hash_token(generated_key),
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"user_api_key_user_id": user_id,
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}
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},
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"response_cost": 0.00002,
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},
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completion_response=ModelResponse(),
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)
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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pytest.fail(f"This should have failed!. They key crossed it's budget")
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asyncio.run(test())
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except Exception as e:
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error_detail = e.message
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assert "Authentication Error, ExceededTokenBudget:" in error_detail
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print(vars(e))
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def test_dynamo_db_migration(custom_db_client):
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# Tests the temporary patch we have in place
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setattr(litellm.proxy.proxy_server, "custom_db_client", custom_db_client)
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setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
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setattr(litellm.proxy.proxy_server, "user_custom_auth", None)
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try:
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async def test():
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bearer_token = (
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"Bearer " + "sk-elJDL2pOEjcAuC7zD4psAg"
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) # this works with ishaan's db, it's a never expiring key
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request = Request(scope={"type": "http"})
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request._url = URL(url="/chat/completions")
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async def return_body():
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return b'{"model": "azure-models"}'
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request.body = return_body
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# use generated key to auth in
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result = await user_api_key_auth(request=request, api_key=bearer_token)
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print("result from user auth with new key", result)
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asyncio.run(test())
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except Exception as e:
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pytest.fail(f"An exception occurred - {str(e)}")
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