| |
|
|
| 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() |
|
|
