diff --git a/apps/setting/models_provider/constants/model_provider_constants.py b/apps/setting/models_provider/constants/model_provider_constants.py index e6bf698b0..e68b9361f 100644 --- a/apps/setting/models_provider/constants/model_provider_constants.py +++ b/apps/setting/models_provider/constants/model_provider_constants.py @@ -19,6 +19,8 @@ from setting.models_provider.impl.kimi_model_provider.kimi_model_provider import from setting.models_provider.impl.ollama_model_provider.ollama_model_provider import OllamaModelProvider from setting.models_provider.impl.openai_model_provider.openai_model_provider import OpenAIModelProvider from setting.models_provider.impl.qwen_model_provider.qwen_model_provider import QwenModelProvider +from setting.models_provider.impl.regolo_model_provider.regolo_model_provider import \ + RegoloModelProvider from setting.models_provider.impl.siliconCloud_model_provider.siliconCloud_model_provider import \ SiliconCloudModelProvider from setting.models_provider.impl.tencent_cloud_model_provider.tencent_cloud_model_provider import \ @@ -55,3 +57,4 @@ class ModelProvideConstants(Enum): aliyun_bai_lian_model_provider = AliyunBaiLianModelProvider() model_anthropic_provider = AnthropicModelProvider() model_siliconCloud_provider = SiliconCloudModelProvider() + model_regolo_provider = RegoloModelProvider() diff --git a/apps/setting/models_provider/impl/regolo_model_provider/__init__.py b/apps/setting/models_provider/impl/regolo_model_provider/__init__.py new file mode 100644 index 000000000..2dc4ab10d --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/__init__.py @@ -0,0 +1,8 @@ +# coding=utf-8 +""" + @project: maxkb + @Author：虎 + @file： __init__.py.py + @date：2024/3/28 16:25 + @desc: +""" diff --git a/apps/setting/models_provider/impl/regolo_model_provider/credential/embedding.py b/apps/setting/models_provider/impl/regolo_model_provider/credential/embedding.py new file mode 100644 index 000000000..ddea7fed5 --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/credential/embedding.py @@ -0,0 +1,52 @@ +# coding=utf-8 +""" + @project: MaxKB + @Author：虎 + @file： embedding.py + @date：2024/7/12 16:45 + @desc: +""" +import traceback +from typing import Dict + +from django.utils.translation import gettext as _ + +from common import forms +from common.exception.app_exception import AppApiException +from common.forms import BaseForm +from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode + + +class RegoloEmbeddingCredential(BaseForm, BaseModelCredential): + def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], model_params, provider, + raise_exception=True): + 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, + _('{model_type} Model type is not supported').format(model_type=model_type)) + + for key in ['api_key']: + if key not in model_credential: + if raise_exception: + raise AppApiException(ValidCode.valid_error.value, _('{key} is required').format(key=key)) + else: + return False + try: + model = provider.get_model(model_type, model_name, model_credential) + model.embed_query(_('Hello')) + except Exception as e: + traceback.print_exc() + if isinstance(e, AppApiException): + raise e + if raise_exception: + raise AppApiException(ValidCode.valid_error.value, + _('Verification failed, please check whether the parameters are correct: {error}').format( + error=str(e))) + else: + return False + return True + + def encryption_dict(self, model: Dict[str, object]): + return {**model, 'api_key': super().encryption(model.get('api_key', ''))} + + api_key = forms.PasswordInputField('API Key', required=True) diff --git a/apps/setting/models_provider/impl/regolo_model_provider/credential/image.py b/apps/setting/models_provider/impl/regolo_model_provider/credential/image.py new file mode 100644 index 000000000..5975c7748 --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/credential/image.py @@ -0,0 +1,74 @@ +# coding=utf-8 +import base64 +import os +import traceback +from typing import Dict + +from langchain_core.messages import HumanMessage + +from common import forms +from common.exception.app_exception import AppApiException +from common.forms import BaseForm, TooltipLabel +from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode +from django.utils.translation import gettext_lazy as _, gettext + + +class RegoloImageModelParams(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 RegoloImageModelCredential(BaseForm, BaseModelCredential): + api_base = forms.TextInputField('API URL', required=True) + api_key = forms.PasswordInputField('API Key', required=True) + + 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_key']: + 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) + res = model.stream([HumanMessage(content=[{"type": "text", "text": gettext('Hello')}])]) + for chunk in res: + print(chunk) + except Exception as e: + traceback.print_exc() + if isinstance(e, AppApiException): + raise e + if raise_exception: + raise AppApiException(ValidCode.valid_error.value, + gettext( + 'Verification failed, please check whether the parameters are correct: {error}').format( + error=str(e))) + else: + return False + return True + + def encryption_dict(self, model: Dict[str, object]): + return {**model, 'api_key': super().encryption(model.get('api_key', ''))} + + def get_model_params_setting_form(self, model_name): + return RegoloImageModelParams() diff --git a/apps/setting/models_provider/impl/regolo_model_provider/credential/llm.py b/apps/setting/models_provider/impl/regolo_model_provider/credential/llm.py new file mode 100644 index 000000000..60eb4ff0a --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/credential/llm.py @@ -0,0 +1,78 @@ +# coding=utf-8 +""" + @project: MaxKB + @Author：虎 + @file： llm.py + @date：2024/7/11 18:32 + @desc: +""" +import traceback +from typing import Dict + +from django.utils.translation import gettext_lazy as _, gettext +from langchain_core.messages import HumanMessage + +from common import forms +from common.exception.app_exception import AppApiException +from common.forms import BaseForm, TooltipLabel +from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode + + +class RegoloLLMModelParams(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 RegoloLLMModelCredential(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_key']: + 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: + traceback.print_exc() + if isinstance(e, AppApiException): + raise e + if raise_exception: + raise AppApiException(ValidCode.valid_error.value, + gettext( + 'Verification failed, please check whether the parameters are correct: {error}').format( + error=str(e))) + else: + return False + return True + + def encryption_dict(self, model: Dict[str, object]): + return {**model, 'api_key': super().encryption(model.get('api_key', ''))} + + api_key = forms.PasswordInputField('API Key', required=True) + + def get_model_params_setting_form(self, model_name): + return RegoloLLMModelParams() diff --git a/apps/setting/models_provider/impl/regolo_model_provider/credential/tti.py b/apps/setting/models_provider/impl/regolo_model_provider/credential/tti.py new file mode 100644 index 000000000..88f46ce41 --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/credential/tti.py @@ -0,0 +1,89 @@ +# coding=utf-8 +import traceback +from typing import Dict + +from django.utils.translation import gettext_lazy as _, gettext + +from common import forms +from common.exception.app_exception import AppApiException +from common.forms import BaseForm, TooltipLabel +from setting.models_provider.base_model_provider import BaseModelCredential, ValidCode + + +class RegoloTTIModelParams(BaseForm): + size = forms.SingleSelect( + TooltipLabel(_('Image size'), + _('The image generation endpoint allows you to create raw images based on text prompts. ')), + required=True, + default_value='1024x1024', + option_list=[ + {'value': '1024x1024', 'label': '1024x1024'}, + {'value': '1024x1792', 'label': '1024x1792'}, + {'value': '1792x1024', 'label': '1792x1024'}, + ], + text_field='label', + value_field='value' + ) + + quality = forms.SingleSelect( + TooltipLabel(_('Picture quality'), _(''' +By default, images are produced in standard quality. + ''')), + required=True, + default_value='standard', + option_list=[ + {'value': 'standard', 'label': 'standard'}, + {'value': 'hd', 'label': 'hd'}, + ], + text_field='label', + value_field='value' + ) + + n = forms.SliderField( + TooltipLabel(_('Number of pictures'), + _('1 as default')), + required=True, default_value=1, + _min=1, + _max=10, + _step=1, + precision=0) + + +class RegoloTextToImageModelCredential(BaseForm, BaseModelCredential): + api_key = forms.PasswordInputField('API Key', required=True) + + 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_key']: + 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) + res = model.check_auth() + print(res) + except Exception as e: + traceback.print_exc() + if isinstance(e, AppApiException): + raise e + if raise_exception: + raise AppApiException(ValidCode.valid_error.value, + gettext( + 'Verification failed, please check whether the parameters are correct: {error}').format( + error=str(e))) + else: + return False + return True + + def encryption_dict(self, model: Dict[str, object]): + return {**model, 'api_key': super().encryption(model.get('api_key', ''))} + + def get_model_params_setting_form(self, model_name): + return RegoloTTIModelParams() diff --git a/apps/setting/models_provider/impl/regolo_model_provider/icon/regolo_icon_svg b/apps/setting/models_provider/impl/regolo_model_provider/icon/regolo_icon_svg new file mode 100644 index 000000000..acd6bbaeb --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/icon/regolo_icon_svg @@ -0,0 +1,65 @@ + + + + + + + + + + + + + + diff --git a/apps/setting/models_provider/impl/regolo_model_provider/model/embedding.py b/apps/setting/models_provider/impl/regolo_model_provider/model/embedding.py new file mode 100644 index 000000000..b067b8eff --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/model/embedding.py @@ -0,0 +1,23 @@ +# coding=utf-8 +""" + @project: MaxKB + @Author：虎 + @file： embedding.py + @date：2024/7/12 17:44 + @desc: +""" +from typing import Dict + +from langchain_community.embeddings import OpenAIEmbeddings + +from setting.models_provider.base_model_provider import MaxKBBaseModel + + +class RegoloEmbeddingModel(MaxKBBaseModel, OpenAIEmbeddings): + @staticmethod + def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs): + return RegoloEmbeddingModel( + api_key=model_credential.get('api_key'), + model=model_name, + openai_api_base="https://api.regolo.ai/v1", + ) diff --git a/apps/setting/models_provider/impl/regolo_model_provider/model/image.py b/apps/setting/models_provider/impl/regolo_model_provider/model/image.py new file mode 100644 index 000000000..f16768fad --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/model/image.py @@ -0,0 +1,19 @@ +from typing import Dict + +from setting.models_provider.base_model_provider import MaxKBBaseModel +from setting.models_provider.impl.base_chat_open_ai import BaseChatOpenAI + + +class RegoloImage(MaxKBBaseModel, BaseChatOpenAI): + + @staticmethod + def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs): + optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs) + return RegoloImage( + model_name=model_name, + openai_api_base="https://api.regolo.ai/v1", + openai_api_key=model_credential.get('api_key'), + streaming=True, + stream_usage=True, + extra_body=optional_params + ) diff --git a/apps/setting/models_provider/impl/regolo_model_provider/model/llm.py b/apps/setting/models_provider/impl/regolo_model_provider/model/llm.py new file mode 100644 index 000000000..126a756a2 --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/model/llm.py @@ -0,0 +1,38 @@ +# coding=utf-8 +""" + @project: maxkb + @Author：虎 + @file： llm.py + @date：2024/4/18 15:28 + @desc: +""" +from typing import List, Dict + +from langchain_core.messages import BaseMessage, get_buffer_string +from langchain_openai.chat_models import ChatOpenAI + +from common.config.tokenizer_manage_config import TokenizerManage +from setting.models_provider.base_model_provider import MaxKBBaseModel +from setting.models_provider.impl.base_chat_open_ai import BaseChatOpenAI + + +def custom_get_token_ids(text: str): + tokenizer = TokenizerManage.get_tokenizer() + return tokenizer.encode(text) + + +class RegoloChatModel(MaxKBBaseModel, BaseChatOpenAI): + + @staticmethod + def is_cache_model(): + return False + + @staticmethod + def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs): + optional_params = MaxKBBaseModel.filter_optional_params(model_kwargs) + return RegoloChatModel( + model=model_name, + openai_api_base="https://api.regolo.ai/v1", + openai_api_key=model_credential.get('api_key'), + extra_body=optional_params + ) diff --git a/apps/setting/models_provider/impl/regolo_model_provider/model/tti.py b/apps/setting/models_provider/impl/regolo_model_provider/model/tti.py new file mode 100644 index 000000000..a92527295 --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/model/tti.py @@ -0,0 +1,58 @@ +from typing import Dict + +from openai import OpenAI + +from common.config.tokenizer_manage_config import TokenizerManage +from setting.models_provider.base_model_provider import MaxKBBaseModel +from setting.models_provider.impl.base_tti import BaseTextToImage + + +def custom_get_token_ids(text: str): + tokenizer = TokenizerManage.get_tokenizer() + return tokenizer.encode(text) + + +class RegoloTextToImage(MaxKBBaseModel, BaseTextToImage): + api_base: str + api_key: str + model: str + params: dict + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.api_key = kwargs.get('api_key') + self.api_base = "https://api.regolo.ai/v1" + self.model = kwargs.get('model') + self.params = kwargs.get('params') + + @staticmethod + def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs): + optional_params = {'params': {'size': '1024x1024', 'quality': 'standard', 'n': 1}} + for key, value in model_kwargs.items(): + if key not in ['model_id', 'use_local', 'streaming']: + optional_params['params'][key] = value + return RegoloTextToImage( + model=model_name, + api_base="https://api.regolo.ai/v1", + api_key=model_credential.get('api_key'), + **optional_params, + ) + + def is_cache_model(self): + return False + + def check_auth(self): + chat = OpenAI(api_key=self.api_key, base_url=self.api_base) + response_list = chat.models.with_raw_response.list() + + # self.generate_image('生成一个小猫图片') + + def generate_image(self, prompt: str, negative_prompt: str = None): + chat = OpenAI(api_key=self.api_key, base_url=self.api_base) + res = chat.images.generate(model=self.model, prompt=prompt, **self.params) + file_urls = [] + for content in res.data: + url = content.url + file_urls.append(url) + + return file_urls diff --git a/apps/setting/models_provider/impl/regolo_model_provider/regolo_model_provider.py b/apps/setting/models_provider/impl/regolo_model_provider/regolo_model_provider.py new file mode 100644 index 000000000..a5e7dc365 --- /dev/null +++ b/apps/setting/models_provider/impl/regolo_model_provider/regolo_model_provider.py @@ -0,0 +1,89 @@ +# coding=utf-8 +""" + @project: maxkb + @Author：虎 + @file： openai_model_provider.py + @date：2024/3/28 16:26 + @desc: +""" +import os + +from common.util.file_util import get_file_content +from setting.models_provider.base_model_provider import IModelProvider, ModelProvideInfo, ModelInfo, \ + ModelTypeConst, ModelInfoManage +from setting.models_provider.impl.regolo_model_provider.credential.embedding import \ + RegoloEmbeddingCredential +from setting.models_provider.impl.regolo_model_provider.credential.llm import RegoloLLMModelCredential +from setting.models_provider.impl.regolo_model_provider.credential.tti import \ + RegoloTextToImageModelCredential +from setting.models_provider.impl.regolo_model_provider.model.embedding import RegoloEmbeddingModel +from setting.models_provider.impl.regolo_model_provider.model.llm import RegoloChatModel +from setting.models_provider.impl.regolo_model_provider.model.tti import RegoloTextToImage +from smartdoc.conf import PROJECT_DIR +from django.utils.translation import gettext as _ + +openai_llm_model_credential = RegoloLLMModelCredential() +openai_tti_model_credential = RegoloTextToImageModelCredential() +model_info_list = [ + ModelInfo('Phi-4', '', ModelTypeConst.LLM, + openai_llm_model_credential, RegoloChatModel + ), + ModelInfo('DeepSeek-R1-Distill-Qwen-32B', '', ModelTypeConst.LLM, + openai_llm_model_credential, + RegoloChatModel), + ModelInfo('maestrale-chat-v0.4-beta', '', + ModelTypeConst.LLM, openai_llm_model_credential, + RegoloChatModel), + ModelInfo('Llama-3.3-70B-Instruct', + '', + ModelTypeConst.LLM, openai_llm_model_credential, + RegoloChatModel), + ModelInfo('Llama-3.1-8B-Instruct', + '', + ModelTypeConst.LLM, openai_llm_model_credential, + RegoloChatModel), + ModelInfo('DeepSeek-Coder-6.7B-Instruct', '', + ModelTypeConst.LLM, openai_llm_model_credential, + RegoloChatModel) +] +open_ai_embedding_credential = RegoloEmbeddingCredential() +model_info_embedding_list = [ + ModelInfo('gte-Qwen2', '', + ModelTypeConst.EMBEDDING, open_ai_embedding_credential, + RegoloEmbeddingModel), +] + +model_info_tti_list = [ + ModelInfo('FLUX.1-dev', '', + ModelTypeConst.TTI, openai_tti_model_credential, + RegoloTextToImage), + ModelInfo('sdxl-turbo', '', + ModelTypeConst.TTI, openai_tti_model_credential, + RegoloTextToImage), +] +model_info_manage = ( + ModelInfoManage.builder() + .append_model_info_list(model_info_list) + .append_default_model_info( + ModelInfo('gpt-3.5-turbo', _('The latest gpt-3.5-turbo, updated with OpenAI adjustments'), ModelTypeConst.LLM, + openai_llm_model_credential, RegoloChatModel + )) + .append_model_info_list(model_info_embedding_list) + .append_default_model_info(model_info_embedding_list[0]) + .append_model_info_list(model_info_tti_list) + .append_default_model_info(model_info_tti_list[0]) + + .build() +) + + +class RegoloModelProvider(IModelProvider): + + def get_model_info_manage(self): + return model_info_manage + + def get_model_provide_info(self): + return ModelProvideInfo(provider='model_regolo_provider', name='Regolo', icon=get_file_content( + os.path.join(PROJECT_DIR, "apps", "setting", 'models_provider', 'impl', 'regolo_model_provider', + 'icon', + 'regolo_icon_svg')))