Alwrity - WIP - main_config

lib/gpt_providers/text_generation/openai_text_gen.py

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+import os
+import time #IWish
+import logging
+import openai
+import configparser
+
+# Configure standard logging
+logging.basicConfig(level=logging.INFO, format='[%(asctime)s-%(levelname)s-%(module)s-%(lineno)d]- %(message)s')
+
+logger = logging.getLogger(__name__)
+from tenacity import (
+    retry,
+    stop_after_attempt,
+    wait_random_exponential,
+)  # for exponential backoff
+ 
+
+@retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6))
+def openai_chatgpt(prompt, model, temperature, max_tokens, top_p, n, fp):
+    """
+    Wrapper function for OpenAI's ChatGPT completion.
+
+    Args:
+        prompt (str): The input text to generate completion for.
+        model (str, optional): Model to be used for the completion. Defaults to "gpt-4-1106-preview".
+        temperature (float, optional): Controls randomness. Lower values make responses more deterministic. Defaults to 0.2.
+        max_tokens (int, optional): Maximum number of tokens to generate. Defaults to 4096
+        top_p (float, optional): Controls diversity. Defaults to 0.9.
+        n (int, optional): Number of completions to generate. Defaults to 1.
+
+    Returns:
+        str: The generated text completion.
+
+    Raises:
+        SystemExit: If an API error, connection error, or rate limit error occurs.
+    """
+    # Wait for 10 seconds to comply with rate limits
+    for _ in range(5):
+        time.sleep(1)
+
+    try:
+        # Create variables to collect the stream of chunks
+        collected_chunks = []
+        collected_messages = []
+        full_reply_content = None
+        
+        client = openai.OpenAI(api_key=os.getenv('OPENAI_API_KEY'))
+        response = client.chat.completions.create(
+            model=model,
+            messages=[{"role": "user", "content": prompt}],
+            max_tokens=max_tokens,
+            n=n,
+            top_p=top_p,
+            stream=True,
+            frequency_penalty=fp
+            # Additional parameters can be included here
+        )
+        
+        # Iterate through the stream of events
+        for chunk in response:
+            collected_chunks.append(chunk)  # save the event response
+            chunk_message = chunk.choices[0].delta.content  # extract the message
+            collected_messages.append(chunk_message)  # save the message
+            print(chunk.choices[0].delta.content, end = "", flush = True)
+        
+        # Clean None in collected_messages
+        collected_messages = [m for m in collected_messages if m is not None]
+        full_reply_content = ''.join([m for m in collected_messages])
+        return full_reply_content
+
+    except openai.APIError as e:
+        logger.error(f"OpenAI API Error: {e}")
+        raise SystemExit from e
+    except openai.APIConnectionError as e:
+        logger.error(f"Failed to connect to OpenAI API: {e}")
+        raise SystemExit from e
+    except openai.RateLimitError as e:
+        logger.error(f"Rate limit exceeded on OpenAI API request: {e}")
+        raise SystemExit from e
+    except Exception as err:
+        logger.error(f"OpenAI error: {err}")
+        raise SystemExit from e