Merge pull request #2029 from BerriAI/litellm_model_based_budget

[FEAT] Budgets per Model (for a key)
This commit is contained in:
Ishaan Jaff
2024-02-17 19:22:11 -08:00
committed by GitHub
3 changed files with 148 additions and 12 deletions
+24 -1
View File
@@ -380,6 +380,11 @@ async def user_api_key_auth(
# 3. If 'user' passed to /chat/completions, /embeddings endpoint is in budget
# 4. If token is expired
# 5. If token spend is under Budget for the token
# 6. If token spend per model is under budget per model
request_data = await _read_request_body(
request=request
) # request data, used across all checks. Making this easily available
# Check 1. If token can call model
litellm.model_alias_map = valid_token.aliases
@@ -454,7 +459,6 @@ async def user_api_key_auth(
if (
litellm.max_user_budget is not None
): # Check if 'user' passed in /chat/completions is in budget, only checked if litellm.max_user_budget is set
request_data = await _read_request_body(request=request)
user_passed_to_chat_completions = request_data.get("user", None)
if user_passed_to_chat_completions is not None:
user_id_list.append(user_passed_to_chat_completions)
@@ -587,6 +591,25 @@ async def user_api_key_auth(
f"ExceededTokenBudget: Current spend for token: {valid_token.spend}; Max Budget for Token: {valid_token.max_budget}"
)
# Check 5. Token Model Spend is under Model budget
max_budget_per_model = valid_token.model_max_budget
spend_per_model = valid_token.model_spend
if max_budget_per_model is not None and spend_per_model is not None:
current_model = request_data.get("model")
if current_model is not None:
current_model_spend = spend_per_model.get(current_model, None)
current_model_budget = max_budget_per_model.get(current_model, None)
if (
current_model_spend is not None
and current_model_budget is not None
):
if current_model_spend > current_model_budget:
raise Exception(
f"ExceededModelBudget: Current spend for model: {current_model_spend}; Max Budget for Model: {current_model_budget}"
)
# Token passed all checks
api_key = valid_token.token
+14 -11
View File
@@ -1379,19 +1379,22 @@ async def _read_request_body(request):
"""
import ast, json
request_data = {}
if request is None:
return request_data
body = await request.body()
if body == b"" or body is None:
return request_data
body_str = body.decode()
try:
request_data = ast.literal_eval(body_str)
request_data = {}
if request is None:
return request_data
body = await request.body()
if body == b"" or body is None:
return request_data
body_str = body.decode()
try:
request_data = ast.literal_eval(body_str)
except:
request_data = json.loads(body_str)
return request_data
except:
request_data = json.loads(body_str)
return request_data
return {}
def _is_valid_team_configs(team_id=None, team_config=None, request_data=None):
+110
View File
@@ -1101,6 +1101,116 @@ def test_call_with_key_over_budget(prisma_client):
print(vars(e))
def test_call_with_key_over_model_budget(prisma_client):
# 12. Make a call with a key over budget, expect to fail
setattr(litellm.proxy.proxy_server, "prisma_client", prisma_client)
setattr(litellm.proxy.proxy_server, "master_key", "sk-1234")
try:
async def test():
await litellm.proxy.proxy_server.prisma_client.connect()
# set budget for chatgpt-v-2 to 0.000001, expect the next request to fail
request = GenerateKeyRequest(
max_budget=1000,
model_max_budget={
"chatgpt-v-2": 0.000001,
},
metadata={"user_api_key": 0.0001},
)
key = await generate_key_fn(request)
print(key)
generated_key = key.key
user_id = key.user_id
bearer_token = "Bearer " + generated_key
request = Request(scope={"type": "http"})
request._url = URL(url="/chat/completions")
async def return_body():
return b'{"model": "chatgpt-v-2"}'
request.body = return_body
# use generated key to auth in
result = await user_api_key_auth(request=request, api_key=bearer_token)
print("result from user auth with new key", result)
# update spend using track_cost callback, make 2nd request, it should fail
from litellm.proxy.proxy_server import (
_PROXY_track_cost_callback as track_cost_callback,
)
from litellm import ModelResponse, Choices, Message, Usage
from litellm.caching import Cache
litellm.cache = Cache()
import time
request_id = f"chatcmpl-e41836bb-bb8b-4df2-8e70-8f3e160155ac{time.time()}"
resp = ModelResponse(
id=request_id,
choices=[
Choices(
finish_reason=None,
index=0,
message=Message(
content=" Sure! Here is a short poem about the sky:\n\nA canvas of blue, a",
role="assistant",
),
)
],
model="gpt-35-turbo", # azure always has model written like this
usage=Usage(prompt_tokens=210, completion_tokens=200, total_tokens=410),
)
await track_cost_callback(
kwargs={
"model": "chatgpt-v-2",
"stream": False,
"litellm_params": {
"metadata": {
"user_api_key": hash_token(generated_key),
"user_api_key_user_id": user_id,
}
},
"response_cost": 0.00002,
},
completion_response=resp,
start_time=datetime.now(),
end_time=datetime.now(),
)
await asyncio.sleep(10)
# test spend_log was written and we can read it
spend_logs = await view_spend_logs(request_id=request_id)
print("read spend logs", spend_logs)
assert len(spend_logs) == 1
spend_log = spend_logs[0]
assert spend_log.request_id == request_id
assert spend_log.spend == float("2e-05")
assert spend_log.model == "chatgpt-v-2"
assert (
spend_log.cache_key
== "a61ae14fe4a8b8014a61e6ae01a100c8bc6770ac37c293242afed954bc69207d"
)
# use generated key to auth in
result = await user_api_key_auth(request=request, api_key=bearer_token)
print("result from user auth with new key", result)
pytest.fail(f"This should have failed!. They key crossed it's budget")
asyncio.run(test())
except Exception as e:
# print(f"Error - {str(e)}")
traceback.print_exc()
error_detail = e.message
assert "Authentication Error, ExceededModelBudget:" in error_detail
print(vars(e))
@pytest.mark.asyncio()
async def test_call_with_key_never_over_budget(prisma_client):
# Make a call with a key with budget=None, it should never fail