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Merge pull request #2506 from BerriAI/litellm_update_db_perf_improvements

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fix(proxy_server.py): move to using UPDATE + SET for track_cost_callback
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Krish Dholakia 2024-03-13 20:55:40 -07:00 • committed by GitHub
commit d8eff53ebe
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5 changed files with 372 additions and 200 deletions
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532
litellm/proxy/proxy_server.py
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@ -395,6 +395,7 @@ async def user_api_key_auth(
user_api_key_cache.set_cache(
key=hash_token(master_key), value=_user_api_key_obj
)
return _user_api_key_obj
if isinstance(
@ -658,30 +659,47 @@ async def user_api_key_auth(
)
)
if valid_token.spend > valid_token.max_budget:
if valid_token.spend >= valid_token.max_budget:
raise Exception(
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:
if (
max_budget_per_model is not None
and isinstance(max_budget_per_model, dict)
and len(max_budget_per_model) > 0
):
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)
## GET THE SPEND FOR THIS MODEL
twenty_eight_days_ago = datetime.now() - timedelta(days=28)
model_spend = await prisma_client.db.litellm_spendlogs.group_by(
by=["model"],
sum={"spend": True},
where={
"AND": [
{"api_key": valid_token.token},
{"startTime": {"gt": twenty_eight_days_ago}},
{"model": current_model},
]
},
)
if (
len(model_spend) > 0
and max_budget_per_model.get(current_model, None) is not None
):
if (
current_model_spend is not None
and current_model_budget is not None
model_spend[0]["model"] == current_model
and model_spend[0]["_sum"]["spend"]
>= max_budget_per_model[current_model]
):
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}"
)
current_model_spend = model_spend[0]["_sum"]["spend"]
current_model_budget = max_budget_per_model[current_model]
raise Exception(
f"ExceededModelBudget: Current spend for model: {current_model_spend}; Max Budget for Model: {current_model_budget}"
)
# Check 6. Token spend is under Team budget
if (
valid_token.spend is not None
@ -735,15 +753,7 @@ async def user_api_key_auth(
This makes the user row data accessible to pre-api call hooks.
"""
if prisma_client is not None:
asyncio.create_task(
_cache_user_row(
user_id=valid_token.user_id,
cache=user_api_key_cache,
db=prisma_client,
)
)
elif custom_db_client is not None:
if custom_db_client is not None:
asyncio.create_task(
_cache_user_row(
user_id=valid_token.user_id,
@ -1015,6 +1025,10 @@ async def _PROXY_track_cost_callback(
start_time=start_time,
end_time=end_time,
)
await update_cache(
token=user_api_key, user_id=user_id, response_cost=response_cost
)
else:
raise Exception("User API key missing from custom callback.")
else:
@ -1057,85 +1071,121 @@ async def update_database(
f"Enters prisma db call, response_cost: {response_cost}, token: {token}; user_id: {user_id}; team_id: {team_id}"
)
### [TODO] STEP 1: GET KEY + USER SPEND ### (key, user)
### [TODO] STEP 2: UPDATE SPEND ### (key, user, spend logs)
### UPDATE USER SPEND ###
async def _update_user_db():
"""
- Update that user's row
- Update litellm-proxy-budget row (global proxy spend)
"""
user_ids = [user_id, litellm_proxy_budget_name]
## if an end-user is passed in, do an upsert - we can't guarantee they already exist in db
end_user_id = None
if isinstance(token, str) and token.startswith("sk-"):
hashed_token = hash_token(token=token)
else:
hashed_token = token
existing_token_obj = await user_api_key_cache.async_get_cache(
key=hashed_token
)
existing_user_obj = await user_api_key_cache.async_get_cache(key=user_id)
if existing_token_obj.user_id != user_id: # an end-user id was passed in
end_user_id = user_id
user_ids = [existing_token_obj.user_id, litellm_proxy_budget_name]
data_list = []
try:
for id in user_ids:
if id is None:
continue
if prisma_client is not None:
existing_spend_obj = await prisma_client.get_data(user_id=id)
elif (
custom_db_client is not None and id != litellm_proxy_budget_name
):
existing_spend_obj = await custom_db_client.get_data(
key=id, table_name="user"
)
verbose_proxy_logger.debug(
f"Updating existing_spend_obj: {existing_spend_obj}"
if prisma_client is not None: # update
user_ids = [user_id, litellm_proxy_budget_name]
## do a group update for the user-id of the key + global proxy budget
await prisma_client.db.litellm_usertable.update_many(
where={"user_id": {"in": user_ids}},
data={"spend": {"increment": response_cost}},
)
if existing_spend_obj is None:
# if user does not exist in LiteLLM_UserTable, create a new user
existing_spend = 0
max_user_budget = None
if litellm.max_user_budget is not None:
max_user_budget = litellm.max_user_budget
existing_spend_obj = LiteLLM_UserTable(
user_id=id,
spend=0,
max_budget=max_user_budget,
user_email=None,
)
else:
existing_spend = existing_spend_obj.spend
# Calculate the new cost by adding the existing cost and response_cost
existing_spend_obj.spend = existing_spend + response_cost
# track cost per model, for the given user
spend_per_model = existing_spend_obj.model_spend or {}
current_model = kwargs.get("model")
if current_model is not None and spend_per_model is not None:
if spend_per_model.get(current_model) is None:
spend_per_model[current_model] = response_cost
if end_user_id is not None:
if existing_user_obj is None:
# if user does not exist in LiteLLM_UserTable, create a new user
existing_spend = 0
max_user_budget = None
if litellm.max_user_budget is not None:
max_user_budget = litellm.max_user_budget
existing_user_obj = LiteLLM_UserTable(
user_id=end_user_id,
spend=0,
max_budget=max_user_budget,
user_email=None,
)
else:
spend_per_model[current_model] += response_cost
existing_spend_obj.model_spend = spend_per_model
existing_user_obj.spend = (
existing_user_obj.spend + response_cost
)
valid_token = user_api_key_cache.get_cache(key=id)
if valid_token is not None and isinstance(valid_token, dict):
user_api_key_cache.set_cache(
key=id, value=existing_spend_obj.json()
await prisma_client.db.litellm_usertable.upsert(
where={"user_id": end_user_id},
data={
"create": {**existing_user_obj.json(exclude_none=True)},
"update": {"spend": {"increment": response_cost}},
},
)
verbose_proxy_logger.debug(
f"user - new cost: {existing_spend_obj.spend}, user_id: {id}"
)
data_list.append(existing_spend_obj)
if custom_db_client is not None and user_id is not None:
new_spend = data_list[0].spend
await custom_db_client.update_data(
key=user_id, value={"spend": new_spend}, table_name="user"
elif custom_db_client is not None:
for id in user_ids:
if id is None:
continue
if (
custom_db_client is not None
and id != litellm_proxy_budget_name
):
existing_spend_obj = await custom_db_client.get_data(
key=id, table_name="user"
)
verbose_proxy_logger.debug(
f"Updating existing_spend_obj: {existing_spend_obj}"
)
# Update the cost column for the given user id
if prisma_client is not None:
await prisma_client.update_data(
data_list=data_list,
query_type="update_many",
table_name="user",
)
if existing_spend_obj is None:
# if user does not exist in LiteLLM_UserTable, create a new user
existing_spend = 0
max_user_budget = None
if litellm.max_user_budget is not None:
max_user_budget = litellm.max_user_budget
existing_spend_obj = LiteLLM_UserTable(
user_id=id,
spend=0,
max_budget=max_user_budget,
user_email=None,
)
else:
existing_spend = existing_spend_obj.spend
# Calculate the new cost by adding the existing cost and response_cost
existing_spend_obj.spend = existing_spend + response_cost
# track cost per model, for the given user
spend_per_model = existing_spend_obj.model_spend or {}
current_model = kwargs.get("model")
if current_model is not None and spend_per_model is not None:
if spend_per_model.get(current_model) is None:
spend_per_model[current_model] = response_cost
else:
spend_per_model[current_model] += response_cost
existing_spend_obj.model_spend = spend_per_model
valid_token = user_api_key_cache.get_cache(key=id)
if valid_token is not None and isinstance(valid_token, dict):
user_api_key_cache.set_cache(
key=id, value=existing_spend_obj.json()
)
verbose_proxy_logger.debug(
f"user - new cost: {existing_spend_obj.spend}, user_id: {id}"
)
data_list.append(existing_spend_obj)
if custom_db_client is not None and user_id is not None:
new_spend = data_list[0].spend
await custom_db_client.update_data(
key=user_id,
value={"spend": new_spend},
table_name="user",
)
except Exception as e:
verbose_proxy_logger.info(
f"Update User DB call failed to execute {str(e)}"
@ -1148,82 +1198,10 @@ async def update_database(
f"adding spend to key db. Response cost: {response_cost}. Token: {token}."
)
if prisma_client is not None:
# Fetch the existing cost for the given token
existing_spend_obj = await prisma_client.get_data(token=token)
verbose_proxy_logger.debug(
f"_update_key_db: existing spend: {existing_spend_obj}"
await prisma_client.db.litellm_verificationtoken.update(
where={"token": token},
data={"spend": {"increment": response_cost}},
)
if existing_spend_obj is None:
existing_spend = 0
else:
existing_spend = existing_spend_obj.spend
# Calculate the new cost by adding the existing cost and response_cost
new_spend = existing_spend + response_cost
## CHECK IF USER PROJECTED SPEND > SOFT LIMIT
soft_budget_cooldown = existing_spend_obj.soft_budget_cooldown
if (
existing_spend_obj.soft_budget_cooldown == False
and existing_spend_obj.litellm_budget_table is not None
and (
_is_projected_spend_over_limit(
current_spend=new_spend,
soft_budget_limit=existing_spend_obj.litellm_budget_table.soft_budget,
)
== True
)
):
key_alias = existing_spend_obj.key_alias
projected_spend, projected_exceeded_date = (
_get_projected_spend_over_limit(
current_spend=new_spend,
soft_budget_limit=existing_spend_obj.litellm_budget_table.soft_budget,
)
)
soft_limit = existing_spend_obj.litellm_budget_table.soft_budget
user_info = {
"key_alias": key_alias,
"projected_spend": projected_spend,
"projected_exceeded_date": projected_exceeded_date,
}
# alert user
asyncio.create_task(
proxy_logging_obj.budget_alerts(
type="projected_limit_exceeded",
user_info=user_info,
user_max_budget=soft_limit,
user_current_spend=new_spend,
)
)
# set cooldown on alert
soft_budget_cooldown = True
# track cost per model, for the given key
spend_per_model = existing_spend_obj.model_spend or {}
current_model = kwargs.get("model")
if current_model is not None and spend_per_model is not None:
if spend_per_model.get(current_model) is None:
spend_per_model[current_model] = response_cost
else:
spend_per_model[current_model] += response_cost
verbose_proxy_logger.debug(
f"new cost: {new_spend}, new spend per model: {spend_per_model}"
)
# Update the cost column for the given token
await prisma_client.update_data(
token=token,
data={
"spend": new_spend,
"model_spend": spend_per_model,
"soft_budget_cooldown": soft_budget_cooldown,
},
)
valid_token = user_api_key_cache.get_cache(key=token)
if valid_token is not None:
valid_token.spend = new_spend
valid_token.model_spend = spend_per_model
user_api_key_cache.set_cache(key=token, value=valid_token)
elif custom_db_client is not None:
# Fetch the existing cost for the given token
existing_spend_obj = await custom_db_client.get_data(
@ -1254,6 +1232,7 @@ async def update_database(
verbose_proxy_logger.info(
f"Update Key DB Call failed to execute - {str(e)}"
)
raise e
### UPDATE SPEND LOGS ###
async def _insert_spend_log_to_db():
@ -1277,6 +1256,7 @@ async def update_database(
verbose_proxy_logger.info(
f"Update Spend Logs DB failed to execute - {str(e)}"
)
raise e
### UPDATE KEY SPEND ###
async def _update_team_db():
@ -1290,41 +1270,10 @@ async def update_database(
)
return
if prisma_client is not None:
# Fetch the existing cost for the given token
existing_spend_obj = await prisma_client.get_data(
team_id=team_id, table_name="team"
await prisma_client.db.litellm_teamtable.update(
where={"team_id": team_id},
data={"spend": {"increment": response_cost}},
)
verbose_proxy_logger.debug(
f"_update_team_db: existing spend: {existing_spend_obj}"
)
if existing_spend_obj is None:
# the team does not exist in the db - return
verbose_proxy_logger.debug(
"team_id does not exist in db, not tracking spend for team"
)
return
else:
existing_spend = existing_spend_obj.spend
# Calculate the new cost by adding the existing cost and response_cost
new_spend = existing_spend + response_cost
spend_per_model = getattr(existing_spend_obj, "model_spend", {})
# track cost per model, for the given team
spend_per_model = existing_spend_obj.model_spend or {}
current_model = kwargs.get("model")
if current_model is not None and spend_per_model is not None:
if spend_per_model.get(current_model) is None:
spend_per_model[current_model] = response_cost
else:
spend_per_model[current_model] += response_cost
verbose_proxy_logger.debug(f"new cost: {new_spend}")
# Update the cost column for the given token
await prisma_client.update_data(
team_id=team_id,
data={"spend": new_spend, "model_spend": spend_per_model},
table_name="team",
)
elif custom_db_client is not None:
# Fetch the existing cost for the given token
existing_spend_obj = await custom_db_client.get_data(
@ -1354,17 +1303,155 @@ async def update_database(
verbose_proxy_logger.info(
f"Update Team DB failed to execute - {str(e)}"
)
raise e
asyncio.create_task(_update_user_db())
asyncio.create_task(_update_key_db())
asyncio.create_task(_update_team_db())
asyncio.create_task(_insert_spend_log_to_db())
verbose_proxy_logger.info("Successfully updated spend in all 3 tables")
except Exception as e:
verbose_proxy_logger.debug(
f"Error updating Prisma database: {traceback.format_exc()}"
)
pass
async def update_cache(
token,
user_id,
response_cost,
):
"""
Use this to update the cache with new user spend.
Put any alerting logic in here.
"""
### UPDATE KEY SPEND ###
async def _update_key_cache():
# Fetch the existing cost for the given token
if isinstance(token, str) and token.startswith("sk-"):
hashed_token = hash_token(token=token)
else:
hashed_token = token
existing_spend_obj = await user_api_key_cache.async_get_cache(key=hashed_token)
verbose_proxy_logger.debug(
f"_update_key_db: existing spend: {existing_spend_obj}"
)
if existing_spend_obj is None:
existing_spend = 0
else:
existing_spend = existing_spend_obj.spend
# Calculate the new cost by adding the existing cost and response_cost
new_spend = existing_spend + response_cost
## CHECK IF USER PROJECTED SPEND > SOFT LIMIT
soft_budget_cooldown = existing_spend_obj.soft_budget_cooldown
if (
existing_spend_obj.soft_budget_cooldown == False
and existing_spend_obj.litellm_budget_table is not None
and (
_is_projected_spend_over_limit(
current_spend=new_spend,
soft_budget_limit=existing_spend_obj.litellm_budget_table.soft_budget,
)
== True
)
):
key_alias = existing_spend_obj.key_alias
projected_spend, projected_exceeded_date = _get_projected_spend_over_limit(
current_spend=new_spend,
soft_budget_limit=existing_spend_obj.litellm_budget_table.soft_budget,
)
soft_limit = existing_spend_obj.litellm_budget_table.soft_budget
user_info = {
"key_alias": key_alias,
"projected_spend": projected_spend,
"projected_exceeded_date": projected_exceeded_date,
}
# alert user
asyncio.create_task(
proxy_logging_obj.budget_alerts(
type="projected_limit_exceeded",
user_info=user_info,
user_max_budget=soft_limit,
user_current_spend=new_spend,
)
)
# set cooldown on alert
soft_budget_cooldown = True
if (
existing_spend_obj is not None
and getattr(existing_spend_obj, "team_spend", None) is not None
):
existing_team_spend = existing_spend_obj.team_spend
# Calculate the new cost by adding the existing cost and response_cost
existing_spend_obj.team_spend = existing_team_spend + response_cost
# Update the cost column for the given token
existing_spend_obj.spend = new_spend
user_api_key_cache.set_cache(key=hashed_token, value=existing_spend_obj)
async def _update_user_cache():
## UPDATE CACHE FOR USER ID + GLOBAL PROXY
end_user_id = None
if isinstance(token, str) and token.startswith("sk-"):
hashed_token = hash_token(token=token)
else:
hashed_token = token
existing_token_obj = await user_api_key_cache.async_get_cache(key=hashed_token)
existing_user_obj = await user_api_key_cache.async_get_cache(key=user_id)
if existing_token_obj.user_id != user_id: # an end-user id was passed in
end_user_id = user_id
user_ids = [existing_token_obj.user_id, litellm_proxy_budget_name, end_user_id]
try:
for _id in user_ids:
# Fetch the existing cost for the given user
existing_spend_obj = await user_api_key_cache.async_get_cache(key=_id)
if existing_spend_obj is None:
# if user does not exist in LiteLLM_UserTable, create a new user
existing_spend = 0
max_user_budget = None
if litellm.max_user_budget is not None:
max_user_budget = litellm.max_user_budget
existing_spend_obj = LiteLLM_UserTable(
user_id=_id,
spend=0,
max_budget=max_user_budget,
user_email=None,
)
verbose_proxy_logger.debug(
f"_update_user_db: existing spend: {existing_spend_obj}"
)
if existing_spend_obj is None:
existing_spend = 0
else:
if isinstance(existing_spend_obj, dict):
existing_spend = existing_spend_obj["spend"]
else:
existing_spend = existing_spend_obj.spend
# Calculate the new cost by adding the existing cost and response_cost
new_spend = existing_spend + response_cost
# Update the cost column for the given user
if isinstance(existing_spend_obj, dict):
existing_spend_obj["spend"] = new_spend
user_api_key_cache.set_cache(key=_id, value=existing_spend_obj)
else:
existing_spend_obj.spend = new_spend
user_api_key_cache.set_cache(
key=_id, value=existing_spend_obj.json()
)
except Exception as e:
verbose_proxy_logger.debug(
f"An error occurred updating user cache: {str(e)}\n\n{traceback.format_exc()}"
)
asyncio.create_task(_update_key_cache())
asyncio.create_task(_update_user_cache())
def run_ollama_serve():
@ -7242,6 +7329,55 @@ async def get_routes():
return {"routes": routes}
## TEST ENDPOINT
# @router.post("/update_database", dependencies=[Depends(user_api_key_auth)])
# async def update_database_endpoint(
# user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
# ):
# """
# Test endpoint. DO NOT MERGE IN PROD.
# Used for isolating and testing our prisma db update logic in high-traffic.
# """
# try:
# request_id = f"chatcmpl-e41836bb-bb8b-4df2-8e70-8f3e160155ac{time.time()}"
# resp = litellm.ModelResponse(
# id=request_id,
# choices=[
# litellm.Choices(
# finish_reason=None,
# index=0,
# message=litellm.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=litellm.Usage(
# prompt_tokens=210, completion_tokens=200, total_tokens=410
# ),
# )
# await _PROXY_track_cost_callback(
# kwargs={
# "model": "chatgpt-v-2",
# "stream": False,
# "litellm_params": {
# "metadata": {
# "user_api_key": user_api_key_dict.token,
# "user_api_key_user_id": user_api_key_dict.user_id,
# }
# },
# "response_cost": 0.00002,
# },
# completion_response=resp,
# start_time=datetime.now(),
# end_time=datetime.now(),
# )
# except Exception as e:
# raise e
def _has_user_setup_sso():
"""
Check if the user has set up single sign-on (SSO) by verifying the presence of Microsoft client ID, Google client ID, and UI username environment variables.