phoenix/litellm-mirror
0
0
Fork 1
mirror of https://github.com/BerriAI/litellm.git synced 2025-04-25 10:44:24 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

(feat) proxy_server use fallback port if 8000 occupied

Browse source
This commit is contained in:
ishaan-jaff 2023-10-11 15:35:14 -07:00
parent 329d27d1fa
commit 7c81e7449f
1 changed files with 9 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

10
litellm/proxy/proxy_cli.py
View file

@ -1,6 +1,7 @@
import click
import subprocess, traceback
import os, appdirs
import random
from dotenv import load_dotenv
load_dotenv()
@ -40,13 +41,18 @@ def open_config():
elif os.name == 'posix': # For MacOS, Linux, and anything using Bash
subprocess.call(('open', '-t', user_config_path))
def is_port_in_use(port):
import socket
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
return s.connect_ex(('localhost', port)) == 0
@click.command()
@click.option('--host', default='0.0.0.0', help='Host for the server to listen on.')
@click.option('--port', default=8000, help='Port to bind the server to.')
@click.option('--api_base', default=None, help='API base URL.')
@click.option('--model', default=None, help='The model name to pass to litellm expects')
@click.option('--deploy', is_flag=True, type=bool, help='Get a deployed proxy endpoint - api.litellm.ai')
@click.option('--debug', is_flag=True, help='To debug the input')
@click.option('--debug', default=False, is_flag=True, type=bool, help='To debug the input')
@click.option('--temperature', default=None, type=float, help='Set temperature for the model')
@click.option('--max_tokens', default=None, type=int, help='Set max tokens for the model')
@click.option('--drop_params', is_flag=True, help='Drop any unmapped params')
@ -122,6 +128,8 @@ def run_server(host, port, api_base, model, deploy, debug, temperature, max_toke
print(f"\033[32mLiteLLM: Test your local endpoint with: \"litellm --test\" [In a new terminal tab]\033[0m\n")
print(f"\033[32mLiteLLM: Deploy your proxy using the following: \"litellm --model claude-instant-1 --deploy\" Get an https://api.litellm.ai/chat/completions endpoint \033[0m\n")
if port == 8000 and is_port_in_use(port):
port = random.randint(1024, 49152)
uvicorn.run(app, host=host, port=port)