classifieur / client.py
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add tpes
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from litellm import OpenAI
import os
from dotenv import load_dotenv
from typing import Optional, Tuple, Any
# Load environment variables
load_dotenv()
# Initialize client as None
client: Optional[OpenAI] = None
def get_client() -> Optional[OpenAI]:
"""Get the OpenAI client instance"""
global client
return client
def initialize_client(api_key: Optional[str] = None) -> Tuple[bool, str]:
"""Initialize the OpenAI client with an API key"""
global client
import logging
# Use provided API key or get from environment
api_key = api_key or os.environ.get("OPENAI_API_KEY")
if not api_key:
logging.error("No API key provided")
return False, "No API key provided"
try:
client = OpenAI(api_key=api_key)
# Test the connection with a simple request
response: Any = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "test"}],
max_tokens=5,
)
logging.info("API Key updated and verified successfully")
return True, "API Key updated and verified successfully"
except Exception as e:
client = None
error_message: str = f"Failed to initialize client: {str(e)}"
logging.error(error_message)
return False, error_message