mirror of
https://github.com/BerriAI/litellm.git
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d963568970
* fix running litellm on windows * fix importing litellm * _init_hypercorn_server * linting fix * TestProxyInitializationHelpers * ci/cd run again * ci/cd run again
804 lines
27 KiB
Python
804 lines
27 KiB
Python
import importlib
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import json
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import os
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import random
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import subprocess
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import sys
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import urllib.parse as urlparse
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from typing import TYPE_CHECKING, Any, Optional, Union
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import click
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import httpx
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from dotenv import load_dotenv
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if TYPE_CHECKING:
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from fastapi import FastAPI
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else:
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FastAPI = Any
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sys.path.append(os.getcwd())
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config_filename = "litellm.secrets"
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litellm_mode = os.getenv("LITELLM_MODE", "DEV") # "PRODUCTION", "DEV"
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if litellm_mode == "DEV":
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load_dotenv()
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from enum import Enum
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telemetry = None
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class LiteLLMDatabaseConnectionPool(Enum):
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database_connection_pool_limit = 10
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database_connection_pool_timeout = 60
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def append_query_params(url, params) -> str:
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from litellm._logging import verbose_proxy_logger
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verbose_proxy_logger.debug(f"url: {url}")
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verbose_proxy_logger.debug(f"params: {params}")
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parsed_url = urlparse.urlparse(url)
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parsed_query = urlparse.parse_qs(parsed_url.query)
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parsed_query.update(params)
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encoded_query = urlparse.urlencode(parsed_query, doseq=True)
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modified_url = urlparse.urlunparse(parsed_url._replace(query=encoded_query))
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return modified_url # type: ignore
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class ProxyInitializationHelpers:
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@staticmethod
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def _echo_litellm_version():
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pkg_version = importlib.metadata.version("litellm") # type: ignore
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click.echo(f"\nLiteLLM: Current Version = {pkg_version}\n")
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@staticmethod
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def _run_health_check(host, port):
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print("\nLiteLLM: Health Testing models in config") # noqa
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response = httpx.get(url=f"http://{host}:{port}/health")
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print(json.dumps(response.json(), indent=4)) # noqa
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@staticmethod
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def _run_test_chat_completion(
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host: str,
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port: int,
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model: str,
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test: Union[bool, str],
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):
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request_model = model or "gpt-3.5-turbo"
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click.echo(
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f"\nLiteLLM: Making a test ChatCompletions request to your proxy. Model={request_model}"
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)
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import openai
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api_base = f"http://{host}:{port}"
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if isinstance(test, str):
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api_base = test
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else:
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raise ValueError("Invalid test value")
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client = openai.OpenAI(api_key="My API Key", base_url=api_base)
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response = client.chat.completions.create(
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model=request_model,
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messages=[
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{
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"role": "user",
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"content": "this is a test request, write a short poem",
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}
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],
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max_tokens=256,
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)
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click.echo(f"\nLiteLLM: response from proxy {response}")
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print( # noqa
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f"\n LiteLLM: Making a test ChatCompletions + streaming r equest to proxy. Model={request_model}"
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)
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stream_response = client.chat.completions.create(
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model=request_model,
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messages=[
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{
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"role": "user",
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"content": "this is a test request, write a short poem",
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}
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],
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stream=True,
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)
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for chunk in stream_response:
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click.echo(f"LiteLLM: streaming response from proxy {chunk}")
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print("\n making completion request to proxy") # noqa
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completion_response = client.completions.create(
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model=request_model, prompt="this is a test request, write a short poem"
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)
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print(completion_response) # noqa
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@staticmethod
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def _get_default_unvicorn_init_args(
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host: str,
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port: int,
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log_config: Optional[str] = None,
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) -> dict:
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"""
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Get the arguments for `uvicorn` worker
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"""
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import litellm
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uvicorn_args = {
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"app": "litellm.proxy.proxy_server:app",
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"host": host,
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"port": port,
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}
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if log_config is not None:
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print(f"Using log_config: {log_config}") # noqa
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uvicorn_args["log_config"] = log_config
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elif litellm.json_logs:
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print("Using json logs. Setting log_config to None.") # noqa
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uvicorn_args["log_config"] = None
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return uvicorn_args
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@staticmethod
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def _init_hypercorn_server(
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app: FastAPI,
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host: str,
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port: int,
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ssl_certfile_path: str,
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ssl_keyfile_path: str,
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):
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"""
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Initialize litellm with `hypercorn`
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"""
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import asyncio
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from hypercorn.asyncio import serve
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from hypercorn.config import Config
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print( # noqa
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f"\033[1;32mLiteLLM Proxy: Starting server on {host}:{port} using Hypercorn\033[0m\n" # noqa
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) # noqa
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config = Config()
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config.bind = [f"{host}:{port}"]
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if ssl_certfile_path is not None and ssl_keyfile_path is not None:
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print( # noqa
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f"\033[1;32mLiteLLM Proxy: Using SSL with certfile: {ssl_certfile_path} and keyfile: {ssl_keyfile_path}\033[0m\n" # noqa
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)
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config.certfile = ssl_certfile_path
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config.keyfile = ssl_keyfile_path
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# hypercorn serve raises a type warning when passing a fast api app - even though fast API is a valid type
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asyncio.run(serve(app, config)) # type: ignore
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@staticmethod
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def _run_gunicorn_server(
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host: str,
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port: int,
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app: FastAPI,
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num_workers: int,
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ssl_certfile_path: str,
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ssl_keyfile_path: str,
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):
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"""
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Run litellm with `gunicorn`
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"""
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if os.name == "nt":
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pass
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else:
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import gunicorn.app.base
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# Gunicorn Application Class
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class StandaloneApplication(gunicorn.app.base.BaseApplication):
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def __init__(self, app, options=None):
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self.options = options or {} # gunicorn options
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self.application = app # FastAPI app
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super().__init__()
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_endpoint_str = (
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f"curl --location 'http://0.0.0.0:{port}/chat/completions' \\"
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)
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curl_command = (
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_endpoint_str
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+ """
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--header 'Content-Type: application/json' \\
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--data ' {
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"model": "gpt-3.5-turbo",
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"messages": [
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{
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"role": "user",
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"content": "what llm are you"
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}
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]
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}'
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\n
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"""
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)
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print() # noqa
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print( # noqa
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'\033[1;34mLiteLLM: Test your local proxy with: "litellm --test" This runs an openai.ChatCompletion request to your proxy [In a new terminal tab]\033[0m\n'
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)
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print( # noqa
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f"\033[1;34mLiteLLM: Curl Command Test for your local proxy\n {curl_command} \033[0m\n"
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)
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print( # noqa
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"\033[1;34mDocs: https://docs.litellm.ai/docs/simple_proxy\033[0m\n"
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) # noqa
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print( # noqa
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f"\033[1;34mSee all Router/Swagger docs on http://0.0.0.0:{port} \033[0m\n"
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) # noqa
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def load_config(self):
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# note: This Loads the gunicorn config - has nothing to do with LiteLLM Proxy config
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if self.cfg is not None:
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config = {
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key: value
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for key, value in self.options.items()
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if key in self.cfg.settings and value is not None
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}
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else:
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config = {}
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for key, value in config.items():
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if self.cfg is not None:
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self.cfg.set(key.lower(), value)
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def load(self):
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# gunicorn app function
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return self.application
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print( # noqa
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f"\033[1;32mLiteLLM Proxy: Starting server on {host}:{port} with {num_workers} workers\033[0m\n" # noqa
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)
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gunicorn_options = {
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"bind": f"{host}:{port}",
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"workers": num_workers, # default is 1
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"worker_class": "uvicorn.workers.UvicornWorker",
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"preload": True, # Add the preload flag,
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"accesslog": "-", # Log to stdout
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"timeout": 600, # default to very high number, bedrock/anthropic.claude-v2:1 can take 30+ seconds for the 1st chunk to come in
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"access_log_format": '%(h)s %(l)s %(u)s %(t)s "%(r)s" %(s)s %(b)s',
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}
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if ssl_certfile_path is not None and ssl_keyfile_path is not None:
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print( # noqa
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f"\033[1;32mLiteLLM Proxy: Using SSL with certfile: {ssl_certfile_path} and keyfile: {ssl_keyfile_path}\033[0m\n" # noqa
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)
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gunicorn_options["certfile"] = ssl_certfile_path
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gunicorn_options["keyfile"] = ssl_keyfile_path
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StandaloneApplication(app=app, options=gunicorn_options).run() # Run gunicorn
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@staticmethod
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def _run_ollama_serve():
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try:
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command = ["ollama", "serve"]
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with open(os.devnull, "w") as devnull:
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subprocess.Popen(command, stdout=devnull, stderr=devnull)
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except Exception as e:
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print( # noqa
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f"""
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LiteLLM Warning: proxy started with `ollama` model\n`ollama serve` failed with Exception{e}. \nEnsure you run `ollama serve`
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"""
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) # noqa
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@staticmethod
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def _is_port_in_use(port):
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import socket
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with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
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return s.connect_ex(("localhost", port)) == 0
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@staticmethod
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def _get_loop_type():
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"""Helper function to determine the event loop type based on platform"""
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if sys.platform in ("win32", "cygwin", "cli"):
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return None # Let uvicorn choose the default loop on Windows
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return "uvloop"
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@click.command()
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@click.option(
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"--host", default="0.0.0.0", help="Host for the server to listen on.", envvar="HOST"
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)
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@click.option("--port", default=4000, help="Port to bind the server to.", envvar="PORT")
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@click.option(
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"--num_workers",
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default=1,
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help="Number of uvicorn / gunicorn workers to spin up. By default, 1 uvicorn is used.",
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envvar="NUM_WORKERS",
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)
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@click.option("--api_base", default=None, help="API base URL.")
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@click.option(
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"--api_version",
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default="2024-07-01-preview",
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help="For azure - pass in the api version.",
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)
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@click.option(
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"--model", "-m", default=None, help="The model name to pass to litellm expects"
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)
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@click.option(
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"--alias",
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default=None,
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help='The alias for the model - use this to give a litellm model name (e.g. "huggingface/codellama/CodeLlama-7b-Instruct-hf") a more user-friendly name ("codellama")',
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)
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@click.option(
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"--add_key", default=None, help="The model name to pass to litellm expects"
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)
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@click.option("--headers", default=None, help="headers for the API call")
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@click.option("--save", is_flag=True, type=bool, help="Save the model-specific config")
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@click.option(
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"--debug",
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default=False,
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is_flag=True,
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type=bool,
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help="To debug the input",
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envvar="DEBUG",
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)
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@click.option(
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"--detailed_debug",
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default=False,
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is_flag=True,
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type=bool,
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help="To view detailed debug logs",
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envvar="DETAILED_DEBUG",
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)
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@click.option(
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"--use_queue",
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default=False,
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is_flag=True,
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type=bool,
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help="To use celery workers for async endpoints",
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)
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@click.option(
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"--temperature", default=None, type=float, help="Set temperature for the model"
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)
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@click.option(
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"--max_tokens", default=None, type=int, help="Set max tokens for the model"
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)
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@click.option(
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"--request_timeout",
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default=None,
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type=int,
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help="Set timeout in seconds for completion calls",
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)
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@click.option("--drop_params", is_flag=True, help="Drop any unmapped params")
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@click.option(
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"--add_function_to_prompt",
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is_flag=True,
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help="If function passed but unsupported, pass it as prompt",
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)
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@click.option(
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"--config",
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"-c",
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default=None,
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help="Path to the proxy configuration file (e.g. config.yaml). Usage `litellm --config config.yaml`",
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)
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@click.option(
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"--max_budget",
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default=None,
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type=float,
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help="Set max budget for API calls - works for hosted models like OpenAI, TogetherAI, Anthropic, etc.`",
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)
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@click.option(
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"--telemetry",
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default=True,
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type=bool,
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help="Helps us know if people are using this feature. Turn this off by doing `--telemetry False`",
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)
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@click.option(
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"--log_config",
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default=None,
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type=str,
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help="Path to the logging configuration file",
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)
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@click.option(
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"--version",
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"-v",
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default=False,
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is_flag=True,
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type=bool,
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help="Print LiteLLM version",
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)
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@click.option(
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"--health",
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flag_value=True,
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help="Make a chat/completions request to all llms in config.yaml",
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)
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@click.option(
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"--test",
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flag_value=True,
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help="proxy chat completions url to make a test request to",
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)
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@click.option(
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"--test_async",
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default=False,
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is_flag=True,
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help="Calls async endpoints /queue/requests and /queue/response",
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)
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@click.option(
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"--iam_token_db_auth",
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default=False,
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is_flag=True,
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help="Connects to RDS DB with IAM token",
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)
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@click.option(
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"--num_requests",
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default=10,
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type=int,
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help="Number of requests to hit async endpoint with",
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)
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@click.option(
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"--run_gunicorn",
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default=False,
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is_flag=True,
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help="Starts proxy via gunicorn, instead of uvicorn (better for managing multiple workers)",
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)
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@click.option(
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"--run_hypercorn",
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default=False,
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is_flag=True,
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help="Starts proxy via hypercorn, instead of uvicorn (supports HTTP/2)",
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)
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@click.option(
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"--ssl_keyfile_path",
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default=None,
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type=str,
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help="Path to the SSL keyfile. Use this when you want to provide SSL certificate when starting proxy",
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envvar="SSL_KEYFILE_PATH",
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)
|
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@click.option(
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"--ssl_certfile_path",
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default=None,
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type=str,
|
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help="Path to the SSL certfile. Use this when you want to provide SSL certificate when starting proxy",
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envvar="SSL_CERTFILE_PATH",
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)
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@click.option("--local", is_flag=True, default=False, help="for local debugging")
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def run_server( # noqa: PLR0915
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host,
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port,
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api_base,
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api_version,
|
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model,
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alias,
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add_key,
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headers,
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save,
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debug,
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detailed_debug,
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temperature,
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max_tokens,
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request_timeout,
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drop_params,
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add_function_to_prompt,
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config,
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max_budget,
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telemetry,
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test,
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local,
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num_workers,
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test_async,
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iam_token_db_auth,
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num_requests,
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use_queue,
|
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health,
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version,
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run_gunicorn,
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run_hypercorn,
|
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ssl_keyfile_path,
|
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ssl_certfile_path,
|
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log_config,
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):
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args = locals()
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if local:
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from proxy_server import (
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KeyManagementSettings,
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ProxyConfig,
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app,
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save_worker_config,
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)
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else:
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try:
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from .proxy_server import (
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KeyManagementSettings,
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ProxyConfig,
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app,
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save_worker_config,
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)
|
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except ImportError as e:
|
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if "litellm[proxy]" in str(e):
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# user is missing a proxy dependency, ask them to pip install litellm[proxy]
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raise e
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else:
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# this is just a local/relative import error, user git cloned litellm
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from proxy_server import (
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KeyManagementSettings,
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ProxyConfig,
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app,
|
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save_worker_config,
|
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)
|
|
if version is True:
|
|
ProxyInitializationHelpers._echo_litellm_version()
|
|
return
|
|
if model and "ollama" in model and api_base is None:
|
|
ProxyInitializationHelpers._run_ollama_serve()
|
|
if health is True:
|
|
ProxyInitializationHelpers._run_health_check(host, port)
|
|
return
|
|
if test is True:
|
|
ProxyInitializationHelpers._run_test_chat_completion(host, port, model, test)
|
|
return
|
|
else:
|
|
if headers:
|
|
headers = json.loads(headers)
|
|
save_worker_config(
|
|
model=model,
|
|
alias=alias,
|
|
api_base=api_base,
|
|
api_version=api_version,
|
|
debug=debug,
|
|
detailed_debug=detailed_debug,
|
|
temperature=temperature,
|
|
max_tokens=max_tokens,
|
|
request_timeout=request_timeout,
|
|
max_budget=max_budget,
|
|
telemetry=telemetry,
|
|
drop_params=drop_params,
|
|
add_function_to_prompt=add_function_to_prompt,
|
|
headers=headers,
|
|
save=save,
|
|
config=config,
|
|
use_queue=use_queue,
|
|
)
|
|
try:
|
|
import uvicorn
|
|
except Exception:
|
|
raise ImportError(
|
|
"uvicorn, gunicorn needs to be imported. Run - `pip install 'litellm[proxy]'`"
|
|
)
|
|
|
|
db_connection_pool_limit = 100
|
|
db_connection_timeout = 60
|
|
general_settings = {}
|
|
### GET DB TOKEN FOR IAM AUTH ###
|
|
|
|
if iam_token_db_auth:
|
|
from litellm.proxy.auth.rds_iam_token import generate_iam_auth_token
|
|
|
|
db_host = os.getenv("DATABASE_HOST")
|
|
db_port = os.getenv("DATABASE_PORT")
|
|
db_user = os.getenv("DATABASE_USER")
|
|
db_name = os.getenv("DATABASE_NAME")
|
|
db_schema = os.getenv("DATABASE_SCHEMA")
|
|
|
|
token = generate_iam_auth_token(
|
|
db_host=db_host, db_port=db_port, db_user=db_user
|
|
)
|
|
|
|
# print(f"token: {token}")
|
|
_db_url = f"postgresql://{db_user}:{token}@{db_host}:{db_port}/{db_name}"
|
|
if db_schema:
|
|
_db_url += f"?schema={db_schema}"
|
|
|
|
os.environ["DATABASE_URL"] = _db_url
|
|
os.environ["IAM_TOKEN_DB_AUTH"] = "True"
|
|
|
|
### DECRYPT ENV VAR ###
|
|
|
|
from litellm.secret_managers.aws_secret_manager import decrypt_env_var
|
|
|
|
if (
|
|
os.getenv("USE_AWS_KMS", None) is not None
|
|
and os.getenv("USE_AWS_KMS") == "True"
|
|
):
|
|
## V2 IMPLEMENTATION OF AWS KMS - USER WANTS TO DECRYPT MULTIPLE KEYS IN THEIR ENV
|
|
new_env_var = decrypt_env_var()
|
|
|
|
for k, v in new_env_var.items():
|
|
os.environ[k] = v
|
|
|
|
if config is not None:
|
|
"""
|
|
Allow user to pass in db url via config
|
|
|
|
read from there and save it to os.env['DATABASE_URL']
|
|
"""
|
|
try:
|
|
import asyncio
|
|
|
|
except Exception:
|
|
raise ImportError(
|
|
"yaml needs to be imported. Run - `pip install 'litellm[proxy]'`"
|
|
)
|
|
|
|
proxy_config = ProxyConfig()
|
|
_config = asyncio.run(proxy_config.get_config(config_file_path=config))
|
|
|
|
### LITELLM SETTINGS ###
|
|
litellm_settings = _config.get("litellm_settings", None)
|
|
if (
|
|
litellm_settings is not None
|
|
and "json_logs" in litellm_settings
|
|
and litellm_settings["json_logs"] is True
|
|
):
|
|
import litellm
|
|
|
|
litellm.json_logs = True
|
|
|
|
litellm._turn_on_json()
|
|
### GENERAL SETTINGS ###
|
|
general_settings = _config.get("general_settings", {})
|
|
if general_settings is None:
|
|
general_settings = {}
|
|
if general_settings:
|
|
### LOAD SECRET MANAGER ###
|
|
key_management_system = general_settings.get(
|
|
"key_management_system", None
|
|
)
|
|
proxy_config.initialize_secret_manager(key_management_system)
|
|
key_management_settings = general_settings.get(
|
|
"key_management_settings", None
|
|
)
|
|
if key_management_settings is not None:
|
|
import litellm
|
|
|
|
litellm._key_management_settings = KeyManagementSettings(
|
|
**key_management_settings
|
|
)
|
|
database_url = general_settings.get("database_url", None)
|
|
if database_url is None:
|
|
# Check if all required variables are provided
|
|
database_host = os.getenv("DATABASE_HOST")
|
|
database_username = os.getenv("DATABASE_USERNAME")
|
|
database_password = os.getenv("DATABASE_PASSWORD")
|
|
database_name = os.getenv("DATABASE_NAME")
|
|
|
|
if (
|
|
database_host
|
|
and database_username
|
|
and database_password
|
|
and database_name
|
|
):
|
|
# Construct DATABASE_URL from the provided variables
|
|
database_url = f"postgresql://{database_username}:{database_password}@{database_host}/{database_name}"
|
|
os.environ["DATABASE_URL"] = database_url
|
|
db_connection_pool_limit = general_settings.get(
|
|
"database_connection_pool_limit",
|
|
LiteLLMDatabaseConnectionPool.database_connection_pool_limit.value,
|
|
)
|
|
db_connection_timeout = general_settings.get(
|
|
"database_connection_timeout",
|
|
LiteLLMDatabaseConnectionPool.database_connection_pool_timeout.value,
|
|
)
|
|
if database_url and database_url.startswith("os.environ/"):
|
|
original_dir = os.getcwd()
|
|
# set the working directory to where this script is
|
|
sys.path.insert(
|
|
0, os.path.abspath("../..")
|
|
) # Adds the parent directory to the system path - for litellm local dev
|
|
import litellm
|
|
from litellm import get_secret_str
|
|
|
|
database_url = get_secret_str(database_url, default_value=None)
|
|
os.chdir(original_dir)
|
|
if database_url is not None and isinstance(database_url, str):
|
|
os.environ["DATABASE_URL"] = database_url
|
|
|
|
if (
|
|
os.getenv("DATABASE_URL", None) is not None
|
|
or os.getenv("DIRECT_URL", None) is not None
|
|
):
|
|
try:
|
|
from litellm.secret_managers.main import get_secret
|
|
|
|
if os.getenv("DATABASE_URL", None) is not None:
|
|
### add connection pool + pool timeout args
|
|
params = {
|
|
"connection_limit": db_connection_pool_limit,
|
|
"pool_timeout": db_connection_timeout,
|
|
}
|
|
database_url = get_secret("DATABASE_URL", default_value=None)
|
|
modified_url = append_query_params(database_url, params)
|
|
os.environ["DATABASE_URL"] = modified_url
|
|
if os.getenv("DIRECT_URL", None) is not None:
|
|
### add connection pool + pool timeout args
|
|
params = {
|
|
"connection_limit": db_connection_pool_limit,
|
|
"pool_timeout": db_connection_timeout,
|
|
}
|
|
database_url = os.getenv("DIRECT_URL")
|
|
modified_url = append_query_params(database_url, params)
|
|
os.environ["DIRECT_URL"] = modified_url
|
|
###
|
|
subprocess.run(["prisma"], capture_output=True)
|
|
is_prisma_runnable = True
|
|
except FileNotFoundError:
|
|
is_prisma_runnable = False
|
|
|
|
if is_prisma_runnable:
|
|
from litellm.proxy.db.check_migration import check_prisma_schema_diff
|
|
from litellm.proxy.db.prisma_client import should_update_prisma_schema
|
|
|
|
if (
|
|
should_update_prisma_schema(
|
|
general_settings.get("disable_prisma_schema_update")
|
|
)
|
|
is False
|
|
):
|
|
check_prisma_schema_diff(db_url=None)
|
|
else:
|
|
for _ in range(4):
|
|
# run prisma db push, before starting server
|
|
# Save the current working directory
|
|
original_dir = os.getcwd()
|
|
# set the working directory to where this script is
|
|
abspath = os.path.abspath(__file__)
|
|
dname = os.path.dirname(abspath)
|
|
os.chdir(dname)
|
|
try:
|
|
subprocess.run(
|
|
["prisma", "db", "push", "--accept-data-loss"]
|
|
)
|
|
break # Exit the loop if the subprocess succeeds
|
|
except subprocess.CalledProcessError as e:
|
|
import time
|
|
|
|
print(f"Error: {e}") # noqa
|
|
time.sleep(random.randrange(start=1, stop=5))
|
|
finally:
|
|
os.chdir(original_dir)
|
|
else:
|
|
print( # noqa
|
|
f"Unable to connect to DB. DATABASE_URL found in environment, but prisma package not found." # noqa
|
|
)
|
|
if port == 4000 and ProxyInitializationHelpers._is_port_in_use(port):
|
|
port = random.randint(1024, 49152)
|
|
|
|
import litellm
|
|
|
|
if detailed_debug is True:
|
|
litellm._turn_on_debug()
|
|
|
|
# DO NOT DELETE - enables global variables to work across files
|
|
from litellm.proxy.proxy_server import app # noqa
|
|
|
|
uvicorn_args = ProxyInitializationHelpers._get_default_unvicorn_init_args(
|
|
host=host,
|
|
port=port,
|
|
log_config=log_config,
|
|
)
|
|
if run_gunicorn is False and run_hypercorn is False:
|
|
if ssl_certfile_path is not None and ssl_keyfile_path is not None:
|
|
print( # noqa
|
|
f"\033[1;32mLiteLLM Proxy: Using SSL with certfile: {ssl_certfile_path} and keyfile: {ssl_keyfile_path}\033[0m\n" # noqa
|
|
)
|
|
uvicorn_args["ssl_keyfile"] = ssl_keyfile_path
|
|
uvicorn_args["ssl_certfile"] = ssl_certfile_path
|
|
|
|
loop_type = ProxyInitializationHelpers._get_loop_type()
|
|
if loop_type:
|
|
uvicorn_args["loop"] = loop_type
|
|
|
|
uvicorn.run(
|
|
**uvicorn_args,
|
|
workers=num_workers,
|
|
)
|
|
elif run_gunicorn is True:
|
|
ProxyInitializationHelpers._run_gunicorn_server(
|
|
host=host,
|
|
port=port,
|
|
app=app,
|
|
num_workers=num_workers,
|
|
ssl_certfile_path=ssl_certfile_path,
|
|
ssl_keyfile_path=ssl_keyfile_path,
|
|
)
|
|
elif run_hypercorn is True:
|
|
ProxyInitializationHelpers._init_hypercorn_server(
|
|
app=app,
|
|
host=host,
|
|
port=port,
|
|
ssl_certfile_path=ssl_certfile_path,
|
|
ssl_keyfile_path=ssl_keyfile_path,
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
run_server()
|