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Running on Zero
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58bd26a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | import os
from dotenv import load_dotenv
from litellm import completion
from free_config import PREPROCESSOR_MODEL
load_dotenv(override=True)
DEFAULT_REASONING_EFFORT = "low" if "gpt-oss" in PREPROCESSOR_MODEL else None
SYSTEM_PROMPT = """Create a concise description of a product. Respond only in this format. Do not include part numbers.
Title: Rewritten short precise title
Category: eg Electronics
Brand: Brand name
Description: 1 sentence description
Details: 1 sentence on features"""
class Preprocessor:
def __init__(
self,
model_name=PREPROCESSOR_MODEL,
reasoning_effort=DEFAULT_REASONING_EFFORT,
base_url=None,
):
self.total_input_tokens = 0
self.total_output_tokens = 0
self.total_cost = 0
self.model_name = model_name
self.reasoning_effort = reasoning_effort
self.base_url = base_url
if "ollama" in model_name and not base_url:
self.base_url = "http://localhost:11434"
def messages_for(self, text: str) -> list[dict]:
return [{"role": "system", "content": SYSTEM_PROMPT}, {"role": "user", "content": text}]
def preprocess(self, text: str) -> str:
messages = self.messages_for(text)
response = completion(
messages=messages,
model=self.model_name,
reasoning_effort=self.reasoning_effort,
api_base=self.base_url,
)
self.total_input_tokens += response.usage.prompt_tokens
self.total_output_tokens += response.usage.completion_tokens
self.total_cost += response._hidden_params["response_cost"]
return response.choices[0].message.content
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