diff options
Diffstat (limited to '.venv/lib/python3.12/site-packages/litellm/router_strategy/lowest_cost.py')
| -rw-r--r-- | .venv/lib/python3.12/site-packages/litellm/router_strategy/lowest_cost.py | 333 |
1 files changed, 333 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/litellm/router_strategy/lowest_cost.py b/.venv/lib/python3.12/site-packages/litellm/router_strategy/lowest_cost.py new file mode 100644 index 00000000..bd28f6dc --- /dev/null +++ b/.venv/lib/python3.12/site-packages/litellm/router_strategy/lowest_cost.py @@ -0,0 +1,333 @@ +#### What this does #### +# picks based on response time (for streaming, this is time to first token) +from datetime import datetime, timedelta +from typing import Dict, List, Optional, Union + +import litellm +from litellm import ModelResponse, token_counter, verbose_logger +from litellm._logging import verbose_router_logger +from litellm.caching.caching import DualCache +from litellm.integrations.custom_logger import CustomLogger + + +class LowestCostLoggingHandler(CustomLogger): + test_flag: bool = False + logged_success: int = 0 + logged_failure: int = 0 + + def __init__( + self, router_cache: DualCache, model_list: list, routing_args: dict = {} + ): + self.router_cache = router_cache + self.model_list = model_list + + def log_success_event(self, kwargs, response_obj, start_time, end_time): + try: + """ + Update usage on success + """ + if kwargs["litellm_params"].get("metadata") is None: + pass + else: + model_group = kwargs["litellm_params"]["metadata"].get( + "model_group", None + ) + + id = kwargs["litellm_params"].get("model_info", {}).get("id", None) + if model_group is None or id is None: + return + elif isinstance(id, int): + id = str(id) + + # ------------ + # Setup values + # ------------ + """ + { + {model_group}_map: { + id: { + f"{date:hour:minute}" : {"tpm": 34, "rpm": 3} + } + } + } + """ + current_date = datetime.now().strftime("%Y-%m-%d") + current_hour = datetime.now().strftime("%H") + current_minute = datetime.now().strftime("%M") + precise_minute = f"{current_date}-{current_hour}-{current_minute}" + cost_key = f"{model_group}_map" + + response_ms: timedelta = end_time - start_time + + total_tokens = 0 + + if isinstance(response_obj, ModelResponse): + _usage = getattr(response_obj, "usage", None) + if _usage is not None and isinstance(_usage, litellm.Usage): + completion_tokens = _usage.completion_tokens + total_tokens = _usage.total_tokens + float(response_ms.total_seconds() / completion_tokens) + + # ------------ + # Update usage + # ------------ + + request_count_dict = self.router_cache.get_cache(key=cost_key) or {} + + # check local result first + + if id not in request_count_dict: + request_count_dict[id] = {} + + if precise_minute not in request_count_dict[id]: + request_count_dict[id][precise_minute] = {} + + ## TPM + request_count_dict[id][precise_minute]["tpm"] = ( + request_count_dict[id][precise_minute].get("tpm", 0) + total_tokens + ) + + ## RPM + request_count_dict[id][precise_minute]["rpm"] = ( + request_count_dict[id][precise_minute].get("rpm", 0) + 1 + ) + + self.router_cache.set_cache(key=cost_key, value=request_count_dict) + + ### TESTING ### + if self.test_flag: + self.logged_success += 1 + except Exception as e: + verbose_logger.exception( + "litellm.router_strategy.lowest_cost.py::log_success_event(): Exception occured - {}".format( + str(e) + ) + ) + pass + + async def async_log_success_event(self, kwargs, response_obj, start_time, end_time): + try: + """ + Update cost usage on success + """ + if kwargs["litellm_params"].get("metadata") is None: + pass + else: + model_group = kwargs["litellm_params"]["metadata"].get( + "model_group", None + ) + + id = kwargs["litellm_params"].get("model_info", {}).get("id", None) + if model_group is None or id is None: + return + elif isinstance(id, int): + id = str(id) + + # ------------ + # Setup values + # ------------ + """ + { + {model_group}_map: { + id: { + "cost": [..] + f"{date:hour:minute}" : {"tpm": 34, "rpm": 3} + } + } + } + """ + cost_key = f"{model_group}_map" + + current_date = datetime.now().strftime("%Y-%m-%d") + current_hour = datetime.now().strftime("%H") + current_minute = datetime.now().strftime("%M") + precise_minute = f"{current_date}-{current_hour}-{current_minute}" + + response_ms: timedelta = end_time - start_time + + total_tokens = 0 + + if isinstance(response_obj, ModelResponse): + _usage = getattr(response_obj, "usage", None) + if _usage is not None and isinstance(_usage, litellm.Usage): + completion_tokens = _usage.completion_tokens + total_tokens = _usage.total_tokens + + float(response_ms.total_seconds() / completion_tokens) + + # ------------ + # Update usage + # ------------ + + request_count_dict = ( + await self.router_cache.async_get_cache(key=cost_key) or {} + ) + + if id not in request_count_dict: + request_count_dict[id] = {} + if precise_minute not in request_count_dict[id]: + request_count_dict[id][precise_minute] = {} + + ## TPM + request_count_dict[id][precise_minute]["tpm"] = ( + request_count_dict[id][precise_minute].get("tpm", 0) + total_tokens + ) + + ## RPM + request_count_dict[id][precise_minute]["rpm"] = ( + request_count_dict[id][precise_minute].get("rpm", 0) + 1 + ) + + await self.router_cache.async_set_cache( + key=cost_key, value=request_count_dict + ) # reset map within window + + ### TESTING ### + if self.test_flag: + self.logged_success += 1 + except Exception as e: + verbose_logger.exception( + "litellm.proxy.hooks.prompt_injection_detection.py::async_pre_call_hook(): Exception occured - {}".format( + str(e) + ) + ) + pass + + async def async_get_available_deployments( # noqa: PLR0915 + self, + model_group: str, + healthy_deployments: list, + messages: Optional[List[Dict[str, str]]] = None, + input: Optional[Union[str, List]] = None, + request_kwargs: Optional[Dict] = None, + ): + """ + Returns a deployment with the lowest cost + """ + cost_key = f"{model_group}_map" + + request_count_dict = await self.router_cache.async_get_cache(key=cost_key) or {} + + # ----------------------- + # Find lowest used model + # ---------------------- + float("inf") + + current_date = datetime.now().strftime("%Y-%m-%d") + current_hour = datetime.now().strftime("%H") + current_minute = datetime.now().strftime("%M") + precise_minute = f"{current_date}-{current_hour}-{current_minute}" + + if request_count_dict is None: # base case + return + + all_deployments = request_count_dict + for d in healthy_deployments: + ## if healthy deployment not yet used + if d["model_info"]["id"] not in all_deployments: + all_deployments[d["model_info"]["id"]] = { + precise_minute: {"tpm": 0, "rpm": 0}, + } + + try: + input_tokens = token_counter(messages=messages, text=input) + except Exception: + input_tokens = 0 + + # randomly sample from all_deployments, incase all deployments have latency=0.0 + _items = all_deployments.items() + + ### GET AVAILABLE DEPLOYMENTS ### filter out any deployments > tpm/rpm limits + potential_deployments = [] + _cost_per_deployment = {} + for item, item_map in all_deployments.items(): + ## get the item from model list + _deployment = None + for m in healthy_deployments: + if item == m["model_info"]["id"]: + _deployment = m + + if _deployment is None: + continue # skip to next one + + _deployment_tpm = ( + _deployment.get("tpm", None) + or _deployment.get("litellm_params", {}).get("tpm", None) + or _deployment.get("model_info", {}).get("tpm", None) + or float("inf") + ) + + _deployment_rpm = ( + _deployment.get("rpm", None) + or _deployment.get("litellm_params", {}).get("rpm", None) + or _deployment.get("model_info", {}).get("rpm", None) + or float("inf") + ) + item_litellm_model_name = _deployment.get("litellm_params", {}).get("model") + item_litellm_model_cost_map = litellm.model_cost.get( + item_litellm_model_name, {} + ) + + # check if user provided input_cost_per_token and output_cost_per_token in litellm_params + item_input_cost = None + item_output_cost = None + if _deployment.get("litellm_params", {}).get("input_cost_per_token", None): + item_input_cost = _deployment.get("litellm_params", {}).get( + "input_cost_per_token" + ) + + if _deployment.get("litellm_params", {}).get("output_cost_per_token", None): + item_output_cost = _deployment.get("litellm_params", {}).get( + "output_cost_per_token" + ) + + if item_input_cost is None: + item_input_cost = item_litellm_model_cost_map.get( + "input_cost_per_token", 5.0 + ) + + if item_output_cost is None: + item_output_cost = item_litellm_model_cost_map.get( + "output_cost_per_token", 5.0 + ) + + # if litellm["model"] is not in model_cost map -> use item_cost = $10 + + item_cost = item_input_cost + item_output_cost + + item_rpm = item_map.get(precise_minute, {}).get("rpm", 0) + item_tpm = item_map.get(precise_minute, {}).get("tpm", 0) + + verbose_router_logger.debug( + f"item_cost: {item_cost}, item_tpm: {item_tpm}, item_rpm: {item_rpm}, model_id: {_deployment.get('model_info', {}).get('id')}" + ) + + # -------------- # + # Debugging Logic + # -------------- # + # We use _cost_per_deployment to log to langfuse, slack - this is not used to make a decision on routing + # this helps a user to debug why the router picked a specfic deployment # + _deployment_api_base = _deployment.get("litellm_params", {}).get( + "api_base", "" + ) + if _deployment_api_base is not None: + _cost_per_deployment[_deployment_api_base] = item_cost + # -------------- # + # End of Debugging Logic + # -------------- # + + if ( + item_tpm + input_tokens > _deployment_tpm + or item_rpm + 1 > _deployment_rpm + ): # if user passed in tpm / rpm in the model_list + continue + else: + potential_deployments.append((_deployment, item_cost)) + + if len(potential_deployments) == 0: + return None + + potential_deployments = sorted(potential_deployments, key=lambda x: x[1]) + + selected_deployment = potential_deployments[0][0] + return selected_deployment |