api_wrappers/grazie_wrapper.py

import pickle
import time

from grazie.api.client.chat.prompt import ChatPrompt
from grazie.api.client.endpoints import GrazieApiGatewayUrls
from grazie.api.client.gateway import AuthType, GrazieAgent, GrazieApiGatewayClient
from grazie.api.client.profiles import LLMProfile

import config

client = GrazieApiGatewayClient(
    grazie_agent=GrazieAgent("grazie-toolformers", "v1.0"),
    url=GrazieApiGatewayUrls.STAGING,
    auth_type=AuthType.APPLICATION,
    grazie_jwt_token=config.GRAZIE_API_JWT_TOKEN,
)

LLM_CACHE_FILE = config.CACHE_DIR / f"{config.LLM_MODEL}.cache.pkl"
LLM_CACHE = {}
LLM_CACHE_USED = {}

if not LLM_CACHE_FILE.exists():
    with open(LLM_CACHE_FILE, "wb") as file:
        pickle.dump(obj=LLM_CACHE, file=file)

with open(LLM_CACHE_FILE, "rb") as file:
    LLM_CACHE = pickle.load(file=file)


def llm_request(prompt):
    output = None

    while output is None:
        try:
            output = client.chat(
                chat=ChatPrompt().add_system("You are a helpful assistant.").add_user(prompt),
                profile=LLMProfile(config.LLM_MODEL),
            ).content
        except Exception:
            time.sleep(config.GRAZIE_TIMEOUT_SEC)

    assert output is not None

    return output


def generate_for_prompt(prompt):
    if prompt not in LLM_CACHE:
        LLM_CACHE[prompt] = []

    if prompt not in LLM_CACHE_USED:
        LLM_CACHE_USED[prompt] = 0

    while LLM_CACHE_USED[prompt] >= len(LLM_CACHE[prompt]):
        new_response = llm_request(prompt)
        LLM_CACHE[prompt].append(new_response)

        with open(LLM_CACHE_FILE, "wb") as file:
            pickle.dump(obj=LLM_CACHE, file=file)

    result = LLM_CACHE[prompt][LLM_CACHE_USED[prompt]]
    LLM_CACHE_USED[prompt] += 1

    return result