97 lines
3.7 KiB
Python
97 lines
3.7 KiB
Python
# coding=utf-8
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"""
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@project: MaxKB
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@Author：虎
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@file： llm.py
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@date：2024/7/11 17:08
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@desc:
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"""
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import traceback
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from typing import Dict
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from langchain_core.messages import HumanMessage
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from openai import BadRequestError
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from common import forms
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from common.exception.app_exception import AppApiException
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from common.forms import BaseForm, TooltipLabel
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from models_provider.base_model_provider import BaseModelCredential, ValidCode
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from django.utils.translation import gettext_lazy as _, gettext
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class AzureLLMModelParams(BaseForm):
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temperature = forms.SliderField(TooltipLabel(_('Temperature'),
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_('Higher values make the output more random, while lower values make it more focused and deterministic')),
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required=True, default_value=0.7,
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_min=0.1,
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_max=1.0,
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_step=0.01,
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precision=2)
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max_tokens = forms.SliderField(
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TooltipLabel(_('Output the maximum Tokens'),
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_('Specify the maximum number of tokens that the model can generate')),
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required=True, default_value=800,
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_min=1,
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_max=100000,
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_step=1,
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precision=0)
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class o3MiniLLMModelParams(BaseForm):
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max_completion_tokens = forms.SliderField(
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TooltipLabel(_('Output the maximum Tokens'),
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_('Specify the maximum number of tokens that the model can generate')),
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required=True, default_value=800,
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_min=1,
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_max=5000,
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_step=1,
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precision=0)
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class AzureLLMModelCredential(BaseForm, BaseModelCredential):
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def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], model_params, provider,
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raise_exception=False):
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model_type_list = provider.get_model_type_list()
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if not any(list(filter(lambda mt: mt.get('value') == model_type, model_type_list))):
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raise AppApiException(ValidCode.valid_error.value,
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gettext('{model_type} Model type is not supported').format(model_type=model_type))
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for key in ['api_base', 'api_key', 'deployment_name', 'api_version']:
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if key not in model_credential:
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if raise_exception:
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raise AppApiException(ValidCode.valid_error.value, gettext('{key} is required').format(key=key))
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else:
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return False
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try:
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model = provider.get_model(model_type, model_name, model_credential, **model_params)
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model.invoke([HumanMessage(content=gettext('Hello'))])
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except Exception as e:
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traceback.print_exc()
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if isinstance(e, AppApiException) or isinstance(e, BadRequestError):
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raise e
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if raise_exception:
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raise AppApiException(ValidCode.valid_error.value,
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gettext('Verification failed, please check whether the parameters are correct'))
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else:
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return False
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return True
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def encryption_dict(self, model: Dict[str, object]):
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return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
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api_version = forms.TextInputField("API Version", required=True)
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api_base = forms.TextInputField('Azure Endpoint', required=True)
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api_key = forms.PasswordInputField("API Key", required=True)
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deployment_name = forms.TextInputField("Deployment name", required=True)
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def get_model_params_setting_form(self, model_name):
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if 'o3' in model_name or 'o1' in model_name:
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return o3MiniLLMModelParams()
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return AzureLLMModelParams()
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