File size: 1,398 Bytes
0ae3f27 | 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 | import logging
from typing import List
from app.utils.prompts import MEMORY_CATEGORIZATION_PROMPT
from dotenv import load_dotenv
from openai import OpenAI
from pydantic import BaseModel
from tenacity import retry, stop_after_attempt, wait_exponential
load_dotenv()
openai_client = OpenAI()
class MemoryCategories(BaseModel):
categories: List[str]
@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=15))
def get_categories_for_memory(memory: str) -> List[str]:
try:
messages = [
{"role": "system", "content": MEMORY_CATEGORIZATION_PROMPT},
{"role": "user", "content": memory}
]
# Let OpenAI handle the pydantic parsing directly
completion = openai_client.beta.chat.completions.parse(
model="gpt-4o-mini",
messages=messages,
response_format=MemoryCategories,
temperature=0
)
parsed: MemoryCategories = completion.choices[0].message.parsed
return [cat.strip().lower() for cat in parsed.categories]
except Exception as e:
logging.error(f"[ERROR] Failed to get categories: {e}")
try:
logging.debug(f"[DEBUG] Raw response: {completion.choices[0].message.content}")
except Exception as debug_e:
logging.debug(f"[DEBUG] Could not extract raw response: {debug_e}")
raise
|