Files
DevGen/devgen/providers/openai.py
T
2025-12-12 11:10:30 +05:45

49 lines
2.1 KiB
Python

from openai import OpenAI
class OpenaiProvider:
"""Generates a response string using the OpenAI ChatCompletion API based on the provided prompt and parameters. This method initializes an OpenAI client with the given API key, sends a chat completion request with specified model and additional parameters, and returns the content of the generated message.
Args:
prompt (str): The input prompt to generate a response for.
api_key (str): The API key used to authenticate with the OpenAI service.
model (str, optional): The model to use for generation; defaults to "gpt-4o".
**kwargs: Additional keyword arguments to customize the API request (e.g., temperature).
Returns:
str: The content of the generated response message.
"""
DEFAULT_MODEL = "gpt-4o"
def generate(
self, prompt: str, api_key: str, model: str | None = None, **kwargs
) -> str:
"""Generates a response from the OpenAI ChatCompletion API based on the provided prompt and parameters.
Creates a client instance with the specified API key, sends a chat completion request using the selected model and additional parameters, and returns the generated message content as a string.
Args:
prompt (str): Prompt input.
api_key (str): OpenAI API key.
model (str, optional): Model to use (default: gpt-4o).
**kwargs: Additional OpenAI ChatCompletion parameters (e.g., temperature).
Returns:
str: Generated response content.
"""
# 1. Create a client instance with the API key.
try:
client = OpenAI(api_key=api_key)
except Exception as e:
# Add error handling if the client fails to initialize
raise RuntimeError(f"Failed to initialize OpenAI client: {e}")
# 2. Use the modern API syntax: client.chat.completions.create
response = client.chat.completions.create(
model=model or self.DEFAULT_MODEL,
messages=[{"role": "user", "content": prompt}],
**kwargs,
)
return response.choices[0].message.content.strip()