136 lines
7.0 KiB
Python
136 lines
7.0 KiB
Python
import openai
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import aiohttp
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import logging
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import asyncio
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from .ai_responder import AIResponder, async_cache_to_file, exponential_backoff, pp
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from .leonardo_draw import LeonardoAIDrawMixIn
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from io import BytesIO
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from typing import Dict, Any, Optional, List, Tuple
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@async_cache_to_file('openai_chat.dat')
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async def openai_chat(client, *args, **kwargs):
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return await client.chat.completions.create(*args, **kwargs)
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@async_cache_to_file('openai_chat.dat')
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async def openai_image(client, *args, **kwargs):
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response = await client.images.generate(*args, **kwargs)
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async with aiohttp.ClientSession() as session:
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async with session.get(response.data[0].url) as image:
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return BytesIO(await image.read())
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class OpenAIResponder(AIResponder, LeonardoAIDrawMixIn):
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def __init__(self, config: Dict[str, Any], channel: Optional[str] = None) -> None:
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super().__init__(config, channel)
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self.client = openai.AsyncOpenAI(api_key=self.config['openai-token'])
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async def draw_openai(self, description: str) -> BytesIO:
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for _ in range(3):
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try:
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response = await openai_image(self.client, prompt=description, n=1, size="1024x1024", model="dall-e-3")
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logging.info(f'Drawed a picture with DALL-E on this description: {repr(description)}')
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return response
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except Exception as err:
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logging.warning(f"Failed to generate image {repr(description)}: {repr(err)}")
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raise RuntimeError(f"Failed to generate image {repr(description)} after multiple retries")
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async def chat(self, messages: List[Dict[str, Any]], limit: int) -> Tuple[Optional[Dict[str, Any]], int]:
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model = self.config["model"]
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try:
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result = await openai_chat(self.client,
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model=model,
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messages=messages,
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temperature=self.config["temperature"],
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max_tokens=self.config["max-tokens"],
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top_p=self.config["top-p"],
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presence_penalty=self.config["presence-penalty"],
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frequency_penalty=self.config["frequency-penalty"])
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answer_obj = result.choices[0].message
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answer = {'content': answer_obj.content, 'role': answer_obj.role}
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self.rate_limit_backoff = exponential_backoff()
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logging.info(f"generated response {result.usage}: {repr(answer)}")
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return answer, limit
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except openai.BadRequestError as err:
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if 'maximum context length is' in str(err) and limit > 4:
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logging.warning(f"context length exceeded, reduce the limit {limit}: {str(err)}")
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limit -= 1
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return None, limit
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raise err
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except openai.RateLimitError as err:
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rate_limit_sleep = next(self.rate_limit_backoff)
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if "retry-model" in self.config:
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model = self.config["retry-model"]
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logging.warning(f"got an rate limit error, sleep for {rate_limit_sleep} seconds: {str(err)}")
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await asyncio.sleep(rate_limit_sleep)
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except Exception as err:
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logging.warning(f"failed to generate response: {repr(err)}")
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return None, limit
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async def fix(self, answer: str) -> str:
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if 'fix-model' not in self.config:
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return answer
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messages = [{"role": "system", "content": self.config["fix-description"]},
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{"role": "user", "content": answer}]
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try:
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result = await openai_chat(self.client,
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model=self.config["fix-model"],
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messages=messages,
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temperature=0.2,
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max_tokens=2048)
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logging.info(f"got this message as fix:\n{pp(result.choices[0].message.content)}")
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response = result.choices[0].message.content
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start, end = response.find("{"), response.rfind("}")
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if start == -1 or end == -1 or (start + 3) >= end:
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return answer
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response = response[start:end + 1]
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logging.info(f"fixed answer:\n{pp(response)}")
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return response
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except Exception as err:
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logging.warning(f"failed to execute a fix for the answer: {repr(err)}")
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return answer
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async def translate(self, text: str, language: str = "english") -> str:
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if 'fix-model' not in self.config:
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return text
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message = [{"role": "system", "content": f"You are an professional translator to {language} language,"
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f" you translate everything you get directly to {language}"
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f" if it is not already in {language}, otherwise you just copy it."},
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{"role": "user", "content": text}]
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try:
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result = await openai_chat(self.client,
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model=self.config["fix-model"],
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messages=message,
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temperature=0.2,
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max_tokens=2048)
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response = result.choices[0].message.content
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logging.info(f"got this translated message:\n{pp(response)}")
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return response
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except Exception as err:
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logging.warning(f"failed to translate the text: {repr(err)}")
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return text
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async def memory_rewrite(self, memory: str, user: str, question: str, answer: str) -> str:
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if 'memory-model' not in self.config:
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return memory
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messages = [{'role': 'system', 'content': self.config.get('memory-system', 'You are an memory assistant.')},
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{'role': 'user', 'content': f'Here is my previous memory:\n```\n{memory}\n```\n\n'
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f'Here is my conversanion:\n```\n{user}: {question}\n\nassistant: {answer}\n```\n\n'
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f'Please rewrite the memory in a way, that it contain the content mentioned in conversation. '
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f'The whole memory should not be too long, summarize if required. '
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f'Write just new memory data without any comments.'}]
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try:
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# logging.info(f'send this memory request:\n{pp(messages)}')
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result = await openai_chat(self.client,
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model=self.config['memory-model'],
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messages=messages,
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temperature=0.6,
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max_tokens=4096)
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new_memory = result.choices[0].message.content
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logging.info(f'new memory:\n{new_memory}')
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return new_memory
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except Exception as err:
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logging.warning(f"failed to create new memory: {repr(err)}")
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return memory
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