import json from json import JSONDecodeError from typing import Type from langchain.llms import ChatGLM from core.helper import encrypter from core.model_providers.models.base import BaseProviderModel from core.model_providers.models.entity.model_params import ModelKwargsRules, KwargRule, ModelType from core.model_providers.models.llm.chatglm_model import ChatGLMModel from core.model_providers.providers.base import BaseModelProvider, CredentialsValidateFailedError from models.provider import ProviderType class ChatGLMProvider(BaseModelProvider): @property def provider_name(self): """ Returns the name of a provider. """ return 'chatglm' def _get_fixed_model_list(self, model_type: ModelType) -> list[dict]: if model_type == ModelType.TEXT_GENERATION: return [ { 'id': 'chatglm2-6b', 'name': 'ChatGLM2-6B', }, { 'id': 'chatglm-6b', 'name': 'ChatGLM-6B', } ] else: return [] def get_model_class(self, model_type: ModelType) -> Type[BaseProviderModel]: """ Returns the model class. :param model_type: :return: """ if model_type == ModelType.TEXT_GENERATION: model_class = ChatGLMModel else: raise NotImplementedError return model_class def get_model_parameter_rules(self, model_name: str, model_type: ModelType) -> ModelKwargsRules: """ get model parameter rules. :param model_name: :param model_type: :return: """ model_max_tokens = { 'chatglm-6b': 2000, 'chatglm2-6b': 32000, } return ModelKwargsRules( temperature=KwargRule[float](min=0, max=2, default=1, precision=2), top_p=KwargRule[float](min=0, max=1, default=0.7, precision=2), presence_penalty=KwargRule[float](enabled=False), frequency_penalty=KwargRule[float](enabled=False), max_tokens=KwargRule[int](alias='max_token', min=10, max=model_max_tokens.get(model_name), default=2048, precision=0), ) @classmethod def is_provider_credentials_valid_or_raise(cls, credentials: dict): """ Validates the given credentials. """ if 'api_base' not in credentials: raise CredentialsValidateFailedError('ChatGLM Endpoint URL must be provided.') try: credential_kwargs = { 'endpoint_url': credentials['api_base'] } llm = ChatGLM( max_token=10, **credential_kwargs ) llm("ping") except Exception as ex: raise CredentialsValidateFailedError(str(ex)) @classmethod def encrypt_provider_credentials(cls, tenant_id: str, credentials: dict) -> dict: credentials['api_base'] = encrypter.encrypt_token(tenant_id, credentials['api_base']) return credentials def get_provider_credentials(self, obfuscated: bool = False) -> dict: if self.provider.provider_type == ProviderType.CUSTOM.value: try: credentials = json.loads(self.provider.encrypted_config) except JSONDecodeError: credentials = { 'api_base': None } if credentials['api_base']: credentials['api_base'] = encrypter.decrypt_token( self.provider.tenant_id, credentials['api_base'] ) if obfuscated: credentials['api_base'] = encrypter.obfuscated_token(credentials['api_base']) return credentials return {} @classmethod def is_model_credentials_valid_or_raise(cls, model_name: str, model_type: ModelType, credentials: dict): """ check model credentials valid. :param model_name: :param model_type: :param credentials: """ return @classmethod def encrypt_model_credentials(cls, tenant_id: str, model_name: str, model_type: ModelType, credentials: dict) -> dict: """ encrypt model credentials for save. :param tenant_id: :param model_name: :param model_type: :param credentials: :return: """ return {} def get_model_credentials(self, model_name: str, model_type: ModelType, obfuscated: bool = False) -> dict: """ get credentials for llm use. :param model_name: :param model_type: :param obfuscated: :return: """ return self.get_provider_credentials(obfuscated)