Maas-Agent/apps/models_provider/impl/azure_model_provider/credential/llm.py

# coding=utf-8
"""
    @project: MaxKB
    @Author：虎
    @file： llm.py
    @date：2024/7/11 17:08
    @desc:
"""
from typing import Dict

from langchain_core.messages import HumanMessage
from openai import BadRequestError

from common import forms
from common.exception.app_exception import AppApiException
from common.forms import BaseForm, TooltipLabel
from models_provider.base_model_provider import BaseModelCredential, ValidCode
from django.utils.translation import gettext_lazy as _, gettext
from common.utils.logger import maxkb_logger

class AzureLLMModelParams(BaseForm):
    temperature = forms.SliderField(TooltipLabel(_('Temperature'),
                                                 _('Higher values make the output more random, while lower values make it more focused and deterministic')),
                                    required=True, default_value=0.7,
                                    _min=0.1,
                                    _max=1.0,
                                    _step=0.01,
                                    precision=2)

    max_tokens = forms.SliderField(
        TooltipLabel(_('Output the maximum Tokens'),
                     _('Specify the maximum number of tokens that the model can generate')),
        required=True, default_value=800,
        _min=1,
        _max=100000,
        _step=1,
        precision=0)


class o3MiniLLMModelParams(BaseForm):
    max_completion_tokens = forms.SliderField(
        TooltipLabel(_('Output the maximum Tokens'),
                     _('Specify the maximum number of tokens that the model can generate')),
        required=True, default_value=800,
        _min=1,
        _max=5000,
        _step=1,
        precision=0)


class AzureLLMModelCredential(BaseForm, BaseModelCredential):

    def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], model_params, provider,
                 raise_exception=False):
        model_type_list = provider.get_model_type_list()
        if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
            raise AppApiException(ValidCode.valid_error.value,
                                  gettext('{model_type} Model type is not supported').format(model_type=model_type))

        for key in ['api_base', 'api_key', 'deployment_name', 'api_version']:
            if key not in model_credential:
                if raise_exception:
                    raise AppApiException(ValidCode.valid_error.value, gettext('{key}  is required').format(key=key))
                else:
                    return False
        try:
            model = provider.get_model(model_type, model_name, model_credential, **model_params)
            model.invoke([HumanMessage(content=gettext('Hello'))])
        except Exception as e:
            maxkb_logger.error(f'Exception: {e}', exc_info=True)
            if isinstance(e, AppApiException) or isinstance(e, BadRequestError):
                raise e
            if raise_exception:
                raise AppApiException(ValidCode.valid_error.value,
                                      gettext('Verification failed, please check whether the parameters are correct'))
            else:
                return False

        return True

    def encryption_dict(self, model: Dict[str, object]):
        return {**model, 'api_key': super().encryption(model.get('api_key', ''))}

    api_version = forms.TextInputField("API Version", required=True)

    api_base = forms.TextInputField('Azure Endpoint', required=True)

    api_key = forms.PasswordInputField("API Key", required=True)

    deployment_name = forms.TextInputField("Deployment name", required=True)

    def get_model_params_setting_form(self, model_name):
        if 'o3' in model_name or 'o1' in model_name:
            return o3MiniLLMModelParams()
        return AzureLLMModelParams()