File size: 2,776 Bytes
4413aa8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | #!/usr/bin/env python3
import os
import time
from typing import Optional, List, Dict
from openai import OpenAI
from pathlib import Path
from dotenv import load_dotenv
load_dotenv(Path(__file__).parent.parent / ".env")
class ModelClient:
def __init__(
self,
model: Optional[str] = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
timeout: Optional[int] = None,
top_p: float = 0.9
):
self.api_key = os.getenv("API_KEY")
self.base_url = os.getenv("BASE_URL")
self.model = model or os.getenv("MODEL_NAME", "gpt-4o")
self.temperature = temperature if temperature is not None else float(os.getenv("TEMPERATURE", "0.0"))
self.max_tokens = max_tokens or int(os.getenv("MAX_TOKENS", "4096"))
self.timeout = timeout or int(os.getenv("TIMEOUT", "100"))
self.top_p = top_p
self.client = OpenAI(base_url=self.base_url, api_key=self.api_key)
def call(
self,
user_text: str,
system_prompt: Optional[str] = None,
retry: int = 4,
backoff: float = 1.5,
**kwargs
) -> str:
attempt = 0
while True:
try:
messages = []
if system_prompt:
messages.append({"role": "system", "content": system_prompt})
messages.append({"role": "user", "content": user_text})
params = {
"model": self.model,
"messages": messages,
"temperature": self.temperature,
"max_tokens": self.max_tokens,
"timeout": self.timeout,
"top_p": self.top_p
}
params.update(kwargs)
resp = self.client.chat.completions.create(**params)
content = resp.choices[0].message.content
return content.strip() if content else ""
except Exception as e:
attempt += 1
if attempt > retry:
raise Exception(f"API failed after {retry} retries: {e}")
time.sleep(backoff ** attempt)
def create_completion(
self,
messages: List[Dict[str, str]],
**kwargs
) -> str:
params = {
"model": self.model,
"messages": messages,
"temperature": self.temperature,
"max_tokens": self.max_tokens,
"timeout": self.timeout
}
params.update(kwargs)
response = self.client.chat.completions.create(**params)
return response.choices[0].message.content.strip()
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