forked from phoenix/litellm-mirror
cleaning up client, and fixing replicate bug
This commit is contained in:
Krrish Dholakia
parent
22374705b0
commit
745252e3bf
6 changed files with 216 additions and 186 deletions
Binary file not shown.
290
litellm/main.py
290
litellm/main.py
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@ -8,10 +8,28 @@ import threading
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import dotenv
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import traceback
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import subprocess
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import uuid
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####### ENVIRONMENT VARIABLES ###################
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# Loading env variables using dotenv
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dotenv.load_dotenv()
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dotenv.load_dotenv() # Loading env variables using dotenv
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set_verbose = False
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sentry_sdk_instance = None
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capture_exception = None
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add_breadcrumb = None
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posthog = None
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slack_app = None
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alerts_channel = None
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success_callback = []
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failure_callback = []
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callback_list = []
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user_logger_fn = None
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additional_details = {}
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## Set verbose to true -> ```litellm.verbose = True```
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def print_verbose(print_statement):
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if set_verbose:
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print(f"LiteLLM: {print_statement}")
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print("Get help - https://discord.com/invite/wuPM9dRgDw")
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####### COMPLETION MODELS ###################
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open_ai_chat_completion_models = [
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@ -36,13 +54,39 @@ open_ai_embedding_models = [
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'text-embedding-ada-002'
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]
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#############################################
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####### CLIENT ################### make it easy to log completion/embedding runs
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def client(original_function):
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def function_setup(): #just run once to check if user wants to send their data anywhere
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try:
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if len(success_callback) > 0 or len(failure_callback) > 0 and len(callback_list) == 0:
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callback_list = list(set(success_callback + failure_callback))
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set_callbacks(callback_list=callback_list)
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except: # DO NOT BLOCK running the function because of this
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print_verbose(f"[Non-Blocking] {traceback.format_exc()}")
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pass
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def wrapper(*args, **kwargs):
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# Code to be executed before the embedding function
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try:
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function_setup()
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## EMBEDDING CALL
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result = original_function(*args, **kwargs)
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## LOG SUCCESS
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my_thread = threading.Thread(target=handle_success, args=(args, kwargs)) # don't interrupt execution of main thread
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my_thread.start()
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return result
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except Exception as e:
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traceback_exception = traceback.format_exc()
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my_thread = threading.Thread(target=handle_failure, args=(e, traceback.format_exc(), args, kwargs)) # don't interrupt execution of main thread
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my_thread.start()
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raise e
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return wrapper
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####### COMPLETION ENDPOINTS ################
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#############################################
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@func_set_timeout(10, allowOverride=True) ## https://pypi.org/project/func-timeout/ - timeouts, in case calls hang (e.g. Azure)
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def completion(model, messages, max_tokens=None, forceTimeout=10, azure=False, logger_fn=None):
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@client
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@func_set_timeout(60, allowOverride=True) ## https://pypi.org/project/func-timeout/ - timeouts, in case calls hang (e.g. Azure)
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def completion(model, messages, max_tokens=None, *, forceTimeout=60, azure=False, logger_fn=None): # ,*,.. requires optional params like forceTimeout, azure and logger_fn to be passed in as keyword arguments
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try:
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if azure == True:
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# azure configs
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@ -64,7 +108,7 @@ def completion(model, messages, max_tokens=None, forceTimeout=10, azure=False, l
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replicate_api_token = os.environ.get("REPLICATE_API_KEY")
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os.environ["REPLICATE_API_TOKEN"] = replicate_api_token
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prompt = " ".join([message["content"] for message in messages])
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input = [{"prompt": prompt}]
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input = {"prompt": prompt}
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if max_tokens:
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input["max_length"] = max_tokens # for t5 models
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input["max_new_tokens"] = max_tokens # for llama2 models
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@ -127,7 +171,7 @@ def completion(model, messages, max_tokens=None, forceTimeout=10, azure=False, l
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}
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]
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}
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print(f"new response: {new_response}")
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print_verbose(f"new response: {new_response}")
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response = new_response
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elif model in cohere_models:
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cohere_key = os.environ.get("COHERE_API_KEY")
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@ -188,6 +232,7 @@ def completion(model, messages, max_tokens=None, forceTimeout=10, azure=False, l
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### EMBEDDING ENDPOINTS ####################
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@client
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@func_set_timeout(60, allowOverride=True) ## https://pypi.org/project/func-timeout/
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def embedding(model, input=[], azure=False, forceTimeout=60, logger_fn=None):
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response = None
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@ -214,49 +259,17 @@ def embedding(model, input=[], azure=False, forceTimeout=60, logger_fn=None):
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print_verbose(f"response_value: {str(response)[:50]}")
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else:
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logging(model=model, input=input, azure=azure, logger_fn=logger_fn)
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args = locals()
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raise ValueError(f"No valid embedding model args passed in - {args}")
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return response
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### CLIENT CLASS #################### make it easy to push completion/embedding runs to different sources -> sentry/posthog/slack, etc.
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class litellm_client:
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def __init__(self, success_callback=[], failure_callback=[], verbose=False): # Constructor
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set_verbose = verbose
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self.success_callback = success_callback
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self.failure_callback = failure_callback
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self.logger_fn = None # if user passes in their own logging function
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self.callback_list = list(set(self.success_callback + self.failure_callback))
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self.set_callbacks()
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####### HELPER FUNCTIONS ################
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## COMPLETION CALL
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def completion(self, model, messages, max_tokens=None, forceTimeout=10, azure=False, logger_fn=None, additional_details={}) -> Any:
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try:
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self.logger_fn = logger_fn
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response = completion(model=model, messages=messages, max_tokens=max_tokens, forceTimeout=forceTimeout, azure=azure, logger_fn=self.handle_input)
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my_thread = threading.Thread(target=self.handle_success, args=(model, messages, additional_details)) # don't interrupt execution of main thread
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my_thread.start()
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return response
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except Exception as e:
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args = locals() # get all the param values
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self.handle_failure(e, args)
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raise e
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## EMBEDDING CALL
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def embedding(self, model, input=[], azure=False, logger_fn=None, forceTimeout=60, additional_details={}) -> Any:
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try:
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self.logger_fn = logger_fn
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response = embedding(model, input, azure=azure, logger_fn=self.handle_input)
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my_thread = threading.Thread(target=self.handle_success, args=(model, input, additional_details)) # don't interrupt execution of main thread
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my_thread.start()
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return response
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except Exception as e:
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args = locals() # get all the param values
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self.handle_failure(e, args)
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raise e
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def set_callbacks(self): #instantiate any external packages
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for callback in self.callback_list: # only install what's required
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def set_callbacks(callback_list):
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global sentry_sdk_instance, capture_exception, add_breadcrumb, posthog, slack_app, alerts_channel
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for callback in callback_list:
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if callback == "sentry":
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try:
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import sentry_sdk
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@ -264,18 +277,18 @@ class litellm_client:
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print_verbose("Package 'sentry_sdk' is missing. Installing it...")
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subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'sentry_sdk'])
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import sentry_sdk
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self.sentry_sdk = sentry_sdk
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self.sentry_sdk.init(dsn=os.environ.get("SENTRY_API_URL"), traces_sample_rate=float(os.environ.get("SENTRY_API_TRACE_RATE")))
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self.capture_exception = self.sentry_sdk.capture_exception
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self.add_breadcrumb = self.sentry_sdk.add_breadcrumb
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sentry_sdk_instance = sentry_sdk
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sentry_sdk_instance.init(dsn=os.environ.get("SENTRY_API_URL"), traces_sample_rate=float(os.environ.get("SENTRY_API_TRACE_RATE")))
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capture_exception = sentry_sdk_instance.capture_exception
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add_breadcrumb = sentry_sdk_instance.add_breadcrumb
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elif callback == "posthog":
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try:
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from posthog import Posthog
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except:
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except ImportError:
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print_verbose("Package 'posthog' is missing. Installing it...")
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subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'posthog'])
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from posthog import Posthog
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self.posthog = Posthog(
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posthog = Posthog(
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project_api_key=os.environ.get("POSTHOG_API_KEY"),
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host=os.environ.get("POSTHOG_API_URL"))
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elif callback == "slack":
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@ -285,99 +298,65 @@ class litellm_client:
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print_verbose("Package 'slack_bolt' is missing. Installing it...")
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subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'slack_bolt'])
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from slack_bolt import App
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self.slack_app = App(
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slack_app = App(
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token=os.environ.get("SLACK_API_TOKEN"),
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signing_secret=os.environ.get("SLACK_API_SECRET")
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)
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self.alerts_channel = os.environ["SLACK_API_CHANNEL"]
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alerts_channel = os.environ["SLACK_API_CHANNEL"]
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print_verbose(f"Initialized Slack App: {slack_app}")
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def handle_input(self, model_call_details={}):
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if len(model_call_details.keys()) > 0:
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model = model_call_details["model"] if "model" in model_call_details else None
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if model:
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for callback in self.callback_list:
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if callback == "sentry": # add a sentry breadcrumb if user passed in sentry integration
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self.add_breadcrumb(
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category=f'{model}',
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message='Trying request model {} input {}'.format(model, json.dumps(model_call_details)),
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level='info',
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)
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if self.logger_fn and callable(self.logger_fn):
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self.logger_fn(model_call_details)
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pass
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def handle_success(self, model, messages, additional_details):
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success_handler = additional_details.pop("success_handler", None)
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failure_handler = additional_details.pop("failure_handler", None)
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additional_details["litellm_model"] = str(model)
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additional_details["litellm_messages"] = str(messages)
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for callback in self.success_callback:
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try:
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if callback == "posthog":
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ph_obj = {}
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for detail in additional_details:
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ph_obj[detail] = additional_details[detail]
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event_name = additional_details["successful_event"] if "successful_event" in additional_details else "litellm.succes_query"
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if "user_id" in additional_details:
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self.posthog.capture(additional_details["user_id"], event_name, ph_obj)
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else:
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self.posthog.capture(event_name, ph_obj)
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pass
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elif callback == "slack":
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slack_msg = ""
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if len(additional_details.keys()) > 0:
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for detail in additional_details:
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slack_msg += f"{detail}: {additional_details[detail]}\n"
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slack_msg += f"Successful call"
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self.slack_app.client.chat_postMessage(channel=self.alerts_channel, text=slack_msg)
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except:
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pass
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if success_handler and callable(success_handler):
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call_details = {
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"model": model,
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"messages": messages,
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"additional_details": additional_details
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}
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success_handler(call_details)
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pass
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def handle_failure(self, exception, args):
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args.pop("self")
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additional_details = args.pop("additional_details", {})
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def handle_failure(exception, traceback_exception, args, kwargs):
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print_verbose(f"handle_failure args: {args}")
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print_verbose(f"handle_failure kwargs: {kwargs}")
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success_handler = additional_details.pop("success_handler", None)
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failure_handler = additional_details.pop("failure_handler", None)
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for callback in self.failure_callback:
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additional_details["Event_Name"] = additional_details.pop("failed_event_name", "litellm.failed_query")
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print_verbose(f"self.failure_callback: {failure_callback}")
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print_verbose(f"additional_details: {additional_details}")
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for callback in failure_callback:
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try:
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if callback == "slack":
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slack_msg = ""
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for param in args:
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slack_msg += f"{param}: {args[param]}\n"
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if len(additional_details.keys()) > 0:
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if len(kwargs) > 0:
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for key in kwargs:
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slack_msg += f"{key}: {kwargs[key]}\n"
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if len(args) > 0:
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for i, arg in enumerate(args):
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slack_msg += f"LiteLLM_Args_{str(i)}: {arg}"
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for detail in additional_details:
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slack_msg += f"{detail}: {additional_details[detail]}\n"
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slack_msg += f"Traceback: {traceback.format_exc()}"
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self.slack_app.client.chat_postMessage(channel=self.alerts_channel, text=slack_msg)
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slack_msg += f"Traceback: {traceback_exception}"
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print_verbose(f"This is the slack message: {slack_msg}")
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slack_app.client.chat_postMessage(channel=alerts_channel, text=slack_msg)
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elif callback == "sentry":
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self.capture_exception(exception)
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capture_exception(exception)
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elif callback == "posthog":
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if len(additional_details.keys()) > 0:
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print_verbose(f"inside posthog, additional_details: {len(additional_details.keys())}")
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ph_obj = {}
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for param in args:
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ph_obj[param] += args[param]
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if len(kwargs) > 0:
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ph_obj = kwargs
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if len(args) > 0:
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for i, arg in enumerate(args):
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ph_obj["litellm_args_" + str(i)] = arg
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print_verbose(f"ph_obj: {ph_obj}")
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for detail in additional_details:
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ph_obj[detail] = additional_details[detail]
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event_name = additional_details["failed_event"] if "failed_event" in additional_details else "litellm.failed_query"
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event_name = additional_details["Event_Name"]
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print_verbose(f"PostHog Event Name: {event_name}")
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if "user_id" in additional_details:
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self.posthog.capture(additional_details["user_id"], event_name, ph_obj)
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else:
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self.posthog.capture(event_name, ph_obj)
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else:
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pass
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posthog.capture(additional_details["user_id"], event_name, ph_obj)
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else: # PostHog calls require a unique id to identify a user - https://posthog.com/docs/libraries/python
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print(f"ph_obj: {ph_obj})")
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unique_id = str(uuid.uuid4())
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posthog.capture(unique_id, event_name)
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print_verbose(f"successfully logged to PostHog!")
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except:
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print(f"got an error calling {callback} - {traceback.format_exc()}")
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print_verbose(f"Error Occurred while logging failure: {traceback.format_exc()}")
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pass
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if failure_handler and callable(failure_handler):
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call_details = {
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@ -386,7 +365,51 @@ class litellm_client:
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}
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failure_handler(call_details)
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pass
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####### HELPER FUNCTIONS ################
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def handle_input(model_call_details={}):
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if len(model_call_details.keys()) > 0:
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model = model_call_details["model"] if "model" in model_call_details else None
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if model:
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for callback in callback_list:
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if callback == "sentry": # add a sentry breadcrumb if user passed in sentry integration
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add_breadcrumb(
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category=f'{model}',
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message='Trying request model {} input {}'.format(model, json.dumps(model_call_details)),
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level='info',
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)
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if user_logger_fn and callable(user_logger_fn):
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user_logger_fn(model_call_details)
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pass
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def handle_success(*args, **kwargs):
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success_handler = additional_details.pop("success_handler", None)
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failure_handler = additional_details.pop("failure_handler", None)
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additional_details["Event_Name"] = additional_details.pop("successful_event_name", "litellm.succes_query")
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for callback in success_callback:
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try:
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if callback == "posthog":
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ph_obj = {}
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for detail in additional_details:
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ph_obj[detail] = additional_details[detail]
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event_name = additional_details["Event_Name"]
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if "user_id" in additional_details:
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posthog.capture(additional_details["user_id"], event_name, ph_obj)
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else: # PostHog calls require a unique id to identify a user - https://posthog.com/docs/libraries/python
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unique_id = str(uuid.uuid4())
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posthog.capture(unique_id, event_name, ph_obj)
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pass
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elif callback == "slack":
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slack_msg = ""
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for detail in additional_details:
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slack_msg += f"{detail}: {additional_details[detail]}\n"
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slack_app.client.chat_postMessage(channel=alerts_channel, text=slack_msg)
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except:
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pass
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if success_handler and callable(success_handler):
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success_handler(args, kwargs)
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pass
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#Logging function -> log the exact model details + what's being sent | Non-Blocking
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def logging(model, input, azure=False, additional_args={}, logger_fn=None):
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@ -395,9 +418,6 @@ def logging(model, input, azure=False, additional_args={}, logger_fn=None):
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model_call_details["model"] = model
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model_call_details["input"] = input
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model_call_details["azure"] = azure
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model_call_details["additional_args"] = additional_args
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if logger_fn and callable(logger_fn):
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try:
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# log additional call details -> api key, etc.
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if azure == True or model in open_ai_chat_completion_models or model in open_ai_chat_completion_models or model in open_ai_embedding_models:
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model_call_details["api_type"] = openai.api_type
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@ -410,20 +430,14 @@ def logging(model, input, azure=False, additional_args={}, logger_fn=None):
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model_call_details["api_key"] = os.environ.get("ANTHROPIC_API_KEY")
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elif model in cohere_models:
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model_call_details["api_key"] = os.environ.get("COHERE_API_KEY")
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model_call_details["additional_args"] = additional_args
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## Logging
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print_verbose(f"Basic model call details: {model_call_details}")
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if logger_fn and callable(logger_fn):
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||||
try:
|
||||
logger_fn(model_call_details) # Expectation: any logger function passed in by the user should accept a dict object
|
||||
except:
|
||||
print_verbose(f"Basic model call details: {model_call_details}")
|
||||
print_verbose(f"[Non-Blocking] Exception occurred while logging {traceback.format_exc()}")
|
||||
pass
|
||||
else:
|
||||
print_verbose(f"Basic model call details: {model_call_details}")
|
||||
pass
|
||||
except:
|
||||
pass
|
||||
|
||||
## Set verbose to true -> ```litellm.verbose = True```
|
||||
def print_verbose(print_statement):
|
||||
if set_verbose:
|
||||
print(f"LiteLLM: {print_statement}")
|
||||
print("Get help - https://discord.com/invite/wuPM9dRgDw")
|
||||
|
|
@ -2,10 +2,9 @@ import sys, os
|
|||
import traceback
|
||||
sys.path.append('..') # Adds the parent directory to the system path
|
||||
import main
|
||||
from main import litellm_client
|
||||
client = litellm_client(success_callback=["posthog"], failure_callback=["slack", "sentry", "posthog"], verbose=True)
|
||||
completion = client.completion
|
||||
embedding = client.embedding
|
||||
from main import embedding, completion
|
||||
main.success_callback = ["posthog"]
|
||||
main.failure_callback = ["slack", "sentry", "posthog"]
|
||||
|
||||
main.set_verbose = True
|
||||
|
||||
|
|
|
|||
|
|
@ -2,27 +2,19 @@ import sys, os
|
|||
import traceback
|
||||
sys.path.append('..') # Adds the parent directory to the system path
|
||||
import main
|
||||
from main import litellm_client
|
||||
client = litellm_client(success_callback=["posthog"], failure_callback=["slack", "sentry", "posthog"], verbose=True)
|
||||
completion = client.completion
|
||||
embedding = client.embedding
|
||||
from main import embedding, completion
|
||||
main.success_callback = ["posthog"]
|
||||
main.failure_callback = ["slack", "sentry", "posthog"]
|
||||
|
||||
main.set_verbose = True
|
||||
# main.set_verbose = True
|
||||
|
||||
def logger_fn(model_call_object: dict):
|
||||
print(f"model call details: {model_call_object}")
|
||||
# print(f"model call details: {model_call_object}")
|
||||
pass
|
||||
|
||||
user_message = "Hello, how are you?"
|
||||
messages = [{ "content": user_message,"role": "user"}]
|
||||
|
||||
# test on openai completion call
|
||||
try:
|
||||
response = completion(model="gpt-3.5-turbo", messages=messages, logger_fn=logger_fn)
|
||||
except:
|
||||
print(f"error occurred: {traceback.format_exc()}")
|
||||
pass
|
||||
|
||||
|
||||
# test on openai completion call
|
||||
try:
|
||||
response = completion(model="gpt-3.5-turbo", messages=messages, logger_fn=logger_fn)
|
||||
|
|
|
|||
25
litellm/tests/test_model_fallback.py
Normal file
25
litellm/tests/test_model_fallback.py
Normal file
|
|
@ -0,0 +1,25 @@
|
|||
import sys, os
|
||||
import traceback
|
||||
sys.path.append('..') # Adds the parent directory to the system path
|
||||
import main
|
||||
from main import embedding, completion
|
||||
main.success_callback = ["posthog"]
|
||||
main.failure_callback = ["slack", "sentry", "posthog"]
|
||||
|
||||
main.set_verbose = True
|
||||
|
||||
model_fallback_list = ["replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1", "claude-instant-1", "gpt-3.5-turbo"]
|
||||
|
||||
user_message = "Hello, how are you?"
|
||||
messages = [{ "content": user_message,"role": "user"}]
|
||||
|
||||
# for _ in range(10):
|
||||
for model in model_fallback_list:
|
||||
try:
|
||||
response = completion(model=model, messages=messages)
|
||||
print(response)
|
||||
if response != None:
|
||||
break
|
||||
except:
|
||||
print(f"error occurred: {traceback.format_exc()}")
|
||||
pass
|
||||
2
setup.py
2
setup.py
|
|
@ -2,7 +2,7 @@ from setuptools import setup, find_packages
|
|||
|
||||
setup(
|
||||
name='litellm',
|
||||
version='0.1.2',
|
||||
version='0.1.203',
|
||||
description='Library to easily interface with LLM API providers',
|
||||
author='BerriAI',
|
||||
packages=[
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue