Improve code formatting and allow configurable litellm config path via environment variable.

litellm/proxy/proxy_cli.py

@@ -9,7 +9,7 @@ import operator
 config_filename = "litellm.secrets.toml"
 # Using appdirs to determine user-specific config path
 config_dir = appdirs.user_config_dir("litellm")
-user_config_path = os.path.join(config_dir, config_filename)
+user_config_path = os.getenv("LITELLM_CONFIG_PATH", os.path.join(config_dir, config_filename))
 
 load_dotenv()
 from importlib import resources

litellm/proxy/proxy_server.py

@@ -18,7 +18,8 @@ except ImportError:
     import subprocess
     import sys
 
-    subprocess.check_call([sys.executable, "-m", "pip", "install", "uvicorn", "fastapi", "tomli", "appdirs", "tomli-w", "backoff"])
+    subprocess.check_call(
+        [sys.executable, "-m", "pip", "install", "uvicorn", "fastapi", "tomli", "appdirs", "tomli-w", "backoff"])
     import uvicorn
     import fastapi
     import tomli as tomllib
@@ -26,9 +27,9 @@ except ImportError:
     import tomli_w
 
 try:
-    from .llm import litellm_completion 
+    from .llm import litellm_completion
 except ImportError as e:
-    from llm import litellm_completion # type: ignore
+    from llm import litellm_completion  # type: ignore
 
 import random
 
@@ -105,7 +106,7 @@ model_router = litellm.Router()
 config_filename = "litellm.secrets.toml"
 config_dir = os.getcwd()
 config_dir = appdirs.user_config_dir("litellm")
-user_config_path = os.path.join(config_dir, config_filename)
+user_config_path = os.getenv("LITELLM_CONFIG_PATH", os.path.join(config_dir, config_filename))
 log_file = 'api_log.json'
 
 
@@ -184,7 +185,7 @@ def save_params_to_config(data: dict):
 
 
 def load_config():
-    try: 
+    try:
         global user_config, user_api_base, user_max_tokens, user_temperature, user_model, local_logging
         # As the .env file is typically much simpler in structure, we use load_dotenv here directly
         with open(user_config_path, "rb") as f:
@@ -199,9 +200,9 @@ def load_config():
             litellm.add_function_to_prompt = user_config["general"].get("add_function_to_prompt",
                                                                         True)  # by default add function to prompt if unsupported by provider
             litellm.drop_params = user_config["general"].get("drop_params",
-                                                            True)  # by default drop params if unsupported by provider
+                                                             True)  # by default drop params if unsupported by provider
             litellm.model_fallbacks = user_config["general"].get("fallbacks",
-                                                                None)  # fallback models in case initial completion call fails
+                                                                 None)  # fallback models in case initial completion call fails
             default_model = user_config["general"].get("default_model", None)  # route all requests to this model.
 
             local_logging = user_config["general"].get("local_logging", True)
@@ -215,10 +216,10 @@ def load_config():
             if user_model in user_config["model"]:
                 model_config = user_config["model"][user_model]
             model_list = []
-            for model in user_config["model"]: 
+            for model in user_config["model"]:
                 if "model_list" in user_config["model"][model]:
                     model_list.extend(user_config["model"][model]["model_list"])
-            if len(model_list) > 0: 
+            if len(model_list) > 0:
                 model_router.set_model_list(model_list=model_list)
 
         print_verbose(f"user_config: {user_config}")
@@ -254,7 +255,7 @@ def load_config():
                     },
                     final_prompt_value=model_prompt_template.get("MODEL_POST_PROMPT", ""),
                 )
-    except: 
+    except:
         pass
 
 
@@ -271,8 +272,8 @@ def initialize(model, alias, api_base, api_version, debug, temperature, max_toke
     if api_base:  # model-specific param
         user_api_base = api_base
         dynamic_config[user_model]["api_base"] = api_base
-    if api_version: 
-        os.environ["AZURE_API_VERSION"] = api_version # set this for azure - litellm can read this from the env
+    if api_version:
+        os.environ["AZURE_API_VERSION"] = api_version  # set this for azure - litellm can read this from the env
     if max_tokens:  # model-specific param
         user_max_tokens = max_tokens
         dynamic_config[user_model]["max_tokens"] = max_tokens
@@ -290,7 +291,7 @@ def initialize(model, alias, api_base, api_version, debug, temperature, max_toke
     if max_budget:  # litellm-specific param
         litellm.max_budget = max_budget
         dynamic_config["general"]["max_budget"] = max_budget
-    if debug: # litellm-specific param
+    if debug:  # litellm-specific param
         litellm.set_verbose = True
     if save:
         save_params_to_config(dynamic_config)
@@ -300,6 +301,7 @@ def initialize(model, alias, api_base, api_version, debug, temperature, max_toke
     user_telemetry = telemetry
     usage_telemetry(feature="local_proxy_server")
 
+
 def track_cost_callback(
         kwargs,  # kwargs to completion
         completion_response,  # response from completion