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98 lines
3.3 KiB
Python
98 lines
3.3 KiB
Python
import os
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import time
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from typing import Any
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import openai
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from openai import OpenAI
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from ..types import MessageList, SamplerBase, SamplerResponse
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class ResponsesSampler(SamplerBase):
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"""Sample from OpenAI's responses API."""
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def __init__(
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self,
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model: str = 'gpt-4.1',
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system_message: str | None = None,
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temperature: float = 0.5,
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max_tokens: int = 1024,
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reasoning_model: bool = False,
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reasoning_effort: str | None = None,
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):
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self.api_key_name = 'OPENAI_API_KEY'
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assert os.environ.get('OPENAI_API_KEY'), 'Please set OPENAI_API_KEY'
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self.client = OpenAI()
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self.model = model
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self.system_message = system_message
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self.temperature = temperature
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self.max_tokens = max_tokens
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self.image_format = 'url'
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self.reasoning_model = reasoning_model
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self.reasoning_effort = reasoning_effort
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def _handle_image(
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self,
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image: str,
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encoding: str = 'base64',
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format: str = 'png',
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fovea: int = 768,
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) -> dict[str, Any]:
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new_image = {
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'type': 'input_image',
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'image_url': f'data:image/{format};{encoding},{image}',
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}
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return new_image
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def _handle_text(self, text: str) -> dict[str, Any]:
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return {'type': 'input_text', 'text': text}
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def _pack_message(self, role: str, content: Any) -> dict[str, Any]:
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return {'role': role, 'content': content}
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def __call__(self, message_list: MessageList) -> SamplerResponse:
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if self.system_message:
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message_list = [
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self._pack_message('developer', self.system_message)
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] + message_list
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trial = 0
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while True:
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try:
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if self.reasoning_model:
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reasoning = ({
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'effort': self.reasoning_effort
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} if self.reasoning_effort else None)
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response = self.client.responses.create(
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model=self.model,
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input=message_list,
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reasoning=reasoning,
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)
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else:
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response = self.client.responses.create(
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model=self.model,
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input=message_list,
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temperature=self.temperature,
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max_output_tokens=self.max_tokens,
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)
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return SamplerResponse(
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response_text=response.output_text,
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response_metadata={'usage': response.usage},
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actual_queried_message_list=message_list,
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)
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except openai.BadRequestError as e:
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print('Bad Request Error', e)
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return SamplerResponse(
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response_text='',
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response_metadata={'usage': None},
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actual_queried_message_list=message_list,
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)
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except Exception as e:
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exception_backoff = 2**trial # expontial back off
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print(
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f'Rate limit exception so wait and retry {trial} after {exception_backoff} sec',
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e,
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)
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time.sleep(exception_backoff)
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trial += 1
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# unknown error shall throw exception
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