refactor: model

apps/models_provider/constants/model_provider_constants.py

@@ -12,6 +12,7 @@ from models_provider.impl.kimi_model_provider.kimi_model_provider import KimiMod
 from models_provider.impl.local_model_provider.local_model_provider import LocalModelProvider
 from models_provider.impl.ollama_model_provider.ollama_model_provider import OllamaModelProvider
 from models_provider.impl.openai_model_provider.openai_model_provider import OpenAIModelProvider
+from models_provider.impl.regolo_model_provider.regolo_model_provider import RegoloModelProvider
 from models_provider.impl.siliconCloud_model_provider.siliconCloud_model_provider import SiliconCloudModelProvider
 from models_provider.impl.tencent_cloud_model_provider.tencent_cloud_model_provider import TencentCloudModelProvider
 from models_provider.impl.tencent_model_provider.tencent_model_provider import TencentModelProvider
@@ -44,3 +45,4 @@ class ModelProvideConstants(Enum):
     aliyun_bai_lian_model_provider = AliyunBaiLianModelProvider()
     model_anthropic_provider = AnthropicModelProvider()
     model_siliconCloud_provider = SiliconCloudModelProvider()
+    model_regolo_provider = RegoloModelProvider()

apps/models_provider/impl/aliyun_bai_lian_model_provider/credential/image.py

@@ -14,11 +14,30 @@ from langchain_core.messages import HumanMessage
 
 from common import forms
 from common.exception.app_exception import AppApiException
-from common.forms import BaseForm
+from common.forms import BaseForm, TooltipLabel
 from common.utils.logger import maxkb_logger
 from models_provider.base_model_provider import BaseModelCredential, ValidCode
 
 
+class QwenModelParams(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=1.0,
+                                    _min=0.1,
+                                    _max=1.9,
+                                    _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 QwenVLModelCredential(BaseForm, BaseModelCredential):
 
     def is_valid(
@@ -70,3 +89,6 @@ class QwenVLModelCredential(BaseForm, BaseModelCredential):
         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 QwenModelParams()

apps/models_provider/impl/anthropic_model_provider/credential/image.py

@@ -12,6 +12,25 @@ from common.utils.logger import maxkb_logger
 from models_provider.base_model_provider import BaseModelCredential, ValidCode
 
 
+class AnthropicImageModelParams(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 AnthropicImageModelCredential(BaseForm, BaseModelCredential):
     api_base = forms.TextInputField(_('API URL'), required=True)
     api_key = forms.PasswordInputField(_('API Key'), required=True)
@@ -51,4 +70,4 @@ class AnthropicImageModelCredential(BaseForm, BaseModelCredential):
         return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return AnthropicImageModelParams()

apps/models_provider/impl/azure_model_provider/credential/image.py

@@ -15,7 +15,22 @@ from django.utils.translation import gettext_lazy as _, gettext
 
 
 class AzureOpenAIImageModelParams(BaseForm):
-    pass
+    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 AzureOpenAIImageModelCredential(BaseForm, BaseModelCredential):

apps/models_provider/impl/gemini_model_provider/credential/image.py

@@ -12,6 +12,25 @@ from common.utils.logger import maxkb_logger
 from models_provider.base_model_provider import BaseModelCredential, ValidCode
 
 
+class GeminiImageModelParams(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 GeminiImageModelCredential(BaseForm, BaseModelCredential):
     api_key = forms.PasswordInputField('API Key', required=True)
 
@@ -50,4 +69,4 @@ class GeminiImageModelCredential(BaseForm, BaseModelCredential):
         return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return GeminiImageModelParams()

apps/models_provider/impl/ollama_model_provider/credential/image.py

@@ -7,6 +7,26 @@ from common.forms import BaseForm, TooltipLabel
 from models_provider.base_model_provider import BaseModelCredential, ValidCode
 from django.utils.translation import gettext_lazy as _, gettext
 
+
+class OllamaImageModelParams(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 OllamaImageModelCredential(BaseForm, BaseModelCredential):
     api_base = forms.TextInputField('API URL', required=True)
     api_key = forms.PasswordInputField('API Key', required=True)
@@ -33,4 +53,4 @@ class OllamaImageModelCredential(BaseForm, BaseModelCredential):
         return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return OllamaImageModelParams()

apps/models_provider/impl/openai_model_provider/credential/image.py

@@ -14,6 +14,25 @@ from models_provider.base_model_provider import BaseModelCredential, ValidCode
 from django.utils.translation import gettext_lazy as _, gettext
 
 
+class OpenAIImageModelParams(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 OpenAIImageModelCredential(BaseForm, BaseModelCredential):
     api_base = forms.TextInputField('API URL', required=True)
     api_key = forms.PasswordInputField('API Key', required=True)
@@ -53,4 +72,4 @@ class OpenAIImageModelCredential(BaseForm, BaseModelCredential):
         return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return OpenAIImageModelParams()

apps/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:
+"""

apps/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 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)

apps/models_provider/impl/regolo_model_provider/credential/image.py

@@ -0,0 +1,75 @@
+# 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 django.utils.translation import gettext_lazy as _, gettext
+
+from models_provider.base_model_provider import BaseModelCredential, ValidCode
+
+
+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()

apps/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 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()

apps/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 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()

apps/models_provider/impl/regolo_model_provider/icon/regolo_icon_svg

@@ -0,0 +1,64 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<svg
+   id="Livello_2"
+   data-name="Livello 2"
+   viewBox="0 0 104.4 104.38"
+   version="1.1"
+   sodipodi:docname="Regolo_logo_positive.svg"
+   width="100%" height="100%"
+   inkscape:version="1.4 (e7c3feb100, 2024-10-09)"
+   xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
+   xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
+   xmlns="http://www.w3.org/2000/svg"
+   xmlns:svg="http://www.w3.org/2000/svg">
+  <sodipodi:namedview
+     id="namedview13"
+     pagecolor="#ffffff"
+     bordercolor="#666666"
+     borderopacity="1.0"
+     inkscape:showpageshadow="2"
+     inkscape:pageopacity="0.0"
+     inkscape:pagecheckerboard="0"
+     inkscape:deskcolor="#d1d1d1"
+     inkscape:zoom="2.1335227"
+     inkscape:cx="119.05193"
+     inkscape:cy="48.511318"
+     inkscape:window-width="1920"
+     inkscape:window-height="1025"
+     inkscape:window-x="0"
+     inkscape:window-y="0"
+     inkscape:window-maximized="1"
+     inkscape:current-layer="g13" />
+  <defs
+     id="defs1">
+    <style
+       id="style1">
+      .cls-1 {
+        fill: #303030;
+      }
+
+      .cls-2 {
+        fill: #59e389;
+      }
+    </style>
+  </defs>
+  <g
+     id="Grafica"
+     transform="translate(0,-40.87)">
+    <g
+       id="g13">
+      <path
+         class="cls-1"
+         d="m 104.39,105.96 v 36.18 c 0,0.32 -0.05,0.62 -0.14,0.91 -0.39,1.27 -1.58,2.2 -2.99,2.2 H 65.08 c -1.73,0 -3.13,-1.41 -3.13,-3.13 V 113.4 c 0,-0.15 0,-0.29 0,-0.44 v -7 c 0,-1.73 1.4,-3.13 3.13,-3.13 h 36.19 c 1.5,0 2.77,1.07 3.06,2.5 0.05,0.21 0.07,0.41 0.07,0.63 z"
+         id="path1" />
+      <path
+         class="cls-1"
+         d="m 104.39,105.96 v 36.18 c 0,0.32 -0.05,0.62 -0.14,0.91 -0.39,1.27 -1.58,2.2 -2.99,2.2 H 65.08 c -1.73,0 -3.13,-1.41 -3.13,-3.13 V 113.4 c 0,-0.15 0,-0.29 0,-0.44 v -7 c 0,-1.73 1.4,-3.13 3.13,-3.13 h 36.19 c 1.5,0 2.77,1.07 3.06,2.5 0.05,0.21 0.07,0.41 0.07,0.63 z"
+         id="path2" />
+      <path
+         class="cls-2"
+         d="M 101.27,40.88 H 65.09 c -1.73,0 -3.13,1.4 -3.13,3.13 v 28.71 c 0,4.71 -1.88,9.23 -5.2,12.56 L 44.42,97.61 c -3.32,3.33 -7.85,5.2 -12.55,5.2 H 18.98 c -2.21,0 -3.99,-1.79 -3.99,-3.99 V 87.29 c 0,-2.21 1.79,-3.99 3.99,-3.99 h 20.34 c 1.41,0 2.59,-0.93 2.99,-2.2 0.09,-0.29 0.14,-0.59 0.14,-0.91 V 44 c 0,-0.22 -0.02,-0.42 -0.07,-0.63 -0.29,-1.43 -1.56,-2.5 -3.06,-2.5 H 3.13 C 1.4,40.87 0,42.27 0,44 v 7 c 0,0.15 0,0.29 0,0.44 v 28.72 c 0,1.72 1.41,3.13 3.13,3.13 h 3.16 c 2.21,0 3.99,1.79 3.99,3.99 v 11.53 c 0,2.21 -1.79,3.99 -3.99,3.99 H 3.15 c -1.73,0 -3.13,1.4 -3.13,3.13 v 36.19 c 0,1.72 1.41,3.13 3.13,3.13 h 36.19 c 1.73,0 3.13,-1.41 3.13,-3.13 V 113.4 c 0,-4.7 1.87,-9.23 5.2,-12.55 L 60,88.51 c 3.33,-3.32 7.85,-5.2 12.56,-5.2 h 28.71 c 1.73,0 3.13,-1.4 3.13,-3.13 V 44 c 0,-1.73 -1.4,-3.13 -3.13,-3.13 z"
+         id="path3" />
+    </g>
+  </g>
+</svg>

apps/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 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",
+        )

apps/models_provider/impl/regolo_model_provider/model/image.py

@@ -0,0 +1,19 @@
+from typing import Dict
+
+from models_provider.base_model_provider import MaxKBBaseModel
+from 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
+        )

apps/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 models_provider.base_model_provider import MaxKBBaseModel
+from 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
+        )

apps/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 models_provider.base_model_provider import MaxKBBaseModel
+from 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

apps/models_provider/impl/regolo_model_provider/regolo_model_provider.py

@@ -0,0 +1,88 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： openai_model_provider.py
+    @date：2024/3/28 16:26
+    @desc:
+"""
+import os
+
+from django.utils.translation import gettext as _
+
+from common.utils.common import get_file_content
+from maxkb.conf import PROJECT_DIR
+from models_provider.base_model_provider import ModelInfo, ModelTypeConst, ModelInfoManage, IModelProvider, \
+    ModelProvideInfo
+from models_provider.impl.regolo_model_provider.credential.embedding import RegoloEmbeddingCredential
+from models_provider.impl.regolo_model_provider.credential.llm import RegoloLLMModelCredential
+from models_provider.impl.regolo_model_provider.credential.tti import RegoloTextToImageModelCredential
+from models_provider.impl.regolo_model_provider.model.embedding import RegoloEmbeddingModel
+from models_provider.impl.regolo_model_provider.model.llm import RegoloChatModel
+from models_provider.impl.regolo_model_provider.model.tti import RegoloTextToImage
+
+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", 'models_provider', 'impl', 'regolo_model_provider',
+                         'icon',
+                         'regolo_icon_svg')))

apps/models_provider/impl/siliconCloud_model_provider/credential/image.py

@@ -14,6 +14,25 @@ from models_provider.base_model_provider import BaseModelCredential, ValidCode
 from django.utils.translation import gettext_lazy as _, gettext
 
 
+class SiliconCloudImageModelParams(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 SiliconCloudImageModelCredential(BaseForm, BaseModelCredential):
     api_base = forms.TextInputField('API URL', required=True)
     api_key = forms.PasswordInputField('API Key', required=True)
@@ -53,4 +72,4 @@ class SiliconCloudImageModelCredential(BaseForm, BaseModelCredential):
         return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return SiliconCloudImageModelParams()

apps/models_provider/impl/siliconCloud_model_provider/model/embedding.py

@@ -8,6 +8,7 @@
 """
 from typing import Dict
 
+import requests
 from langchain_community.embeddings import OpenAIEmbeddings
 
 from models_provider.base_model_provider import MaxKBBaseModel
@@ -17,7 +18,26 @@ class SiliconCloudEmbeddingModel(MaxKBBaseModel, OpenAIEmbeddings):
     @staticmethod
     def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
         return SiliconCloudEmbeddingModel(
-            api_key=model_credential.get('api_key'),
+            openai_api_key=model_credential.get('api_key'),
             model=model_name,
             openai_api_base=model_credential.get('api_base'),
         )
+
+    def embed_query(self, text: str) -> list:
+        payload = {
+            "model": self.model,
+            "input": text
+        }
+        headers = {
+            "Authorization": f"Bearer {self.openai_api_key}",
+            "Content-Type": "application/json"
+        }
+
+        response = requests.post(self.openai_api_base + '/embeddings', json=payload, headers=headers)
+        data = response.json()
+
+        # 假设返回结构中有 'data[0].embedding'
+        return data["data"][0]["embedding"]
+
+    def embed_documents(self, texts: list) -> list:
+        return [self.embed_query(text) for text in texts]

apps/models_provider/impl/tencent_model_provider/credential/image.py

@@ -19,6 +19,25 @@ from common.utils.logger import maxkb_logger
 from models_provider.base_model_provider import BaseModelCredential, ValidCode
 
 
+class TencentModelParams(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=1.0,
+                                    _min=0.1,
+                                    _max=1.9,
+                                    _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 TencentVisionModelCredential(BaseForm, BaseModelCredential):
 
     def is_valid(self, model_type: str, model_name, model_credential: Dict[str, object], model_params, provider,
@@ -57,4 +76,4 @@ class TencentVisionModelCredential(BaseForm, BaseModelCredential):
     api_key = forms.PasswordInputField('API Key', required=True)
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return TencentModelParams()

apps/models_provider/impl/vllm_model_provider/credential/image.py

@@ -11,6 +11,26 @@ from common.forms import BaseForm, TooltipLabel
 from common.utils.logger import maxkb_logger
 from models_provider.base_model_provider import BaseModelCredential, ValidCode
 
+
+class VllmImageModelParams(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 VllmImageModelCredential(BaseForm, BaseModelCredential):
     api_base = forms.TextInputField('API URL', required=True)
     api_key = forms.PasswordInputField('API Key', required=True)
@@ -50,4 +70,4 @@ class VllmImageModelCredential(BaseForm, BaseModelCredential):
         return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return VllmImageModelParams()

apps/models_provider/impl/volcanic_engine_model_provider/credential/image.py

@@ -11,6 +11,26 @@ from common.forms import BaseForm, TooltipLabel
 from common.utils.logger import maxkb_logger
 from models_provider.base_model_provider import BaseModelCredential, ValidCode
 
+
+class VolcanicEngineImageModelParams(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=0.95,
+                                    _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=1024,
+        _min=1,
+        _max=100000,
+        _step=1,
+        precision=0)
+
+
 class VolcanicEngineImageModelCredential(BaseForm, BaseModelCredential):
     api_base = forms.TextInputField('API URL', required=True)
     api_key = forms.PasswordInputField('API Key', required=True)
@@ -50,4 +70,4 @@ class VolcanicEngineImageModelCredential(BaseForm, BaseModelCredential):
         return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return VolcanicEngineImageModelParams()

apps/models_provider/impl/volcanic_engine_model_provider/volcanic_engine_model_provider.py

@@ -70,11 +70,6 @@ model_info_list = [
               ModelTypeConst.TTI,
               volcanic_engine_tti_model_credential, VolcanicEngineTextToImage
               ),
-    ModelInfo('anime_v1.3',
-              _('Animation 1.3.0-Vincent Picture'),
-              ModelTypeConst.TTI,
-              volcanic_engine_tti_model_credential, VolcanicEngineTextToImage
-              ),
     ModelInfo('anime_v1.3.1',
               _('Animation 1.3.1-Vincent Picture'),
               ModelTypeConst.TTI,

apps/models_provider/impl/xinference_model_provider/credential/image.py

@@ -11,6 +11,25 @@ from common.utils.logger import maxkb_logger
 from models_provider.base_model_provider import BaseModelCredential, ValidCode
 
 
+class XinferenceImageModelParams(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 XinferenceImageModelCredential(BaseForm, BaseModelCredential):
     api_base = forms.TextInputField('API URL', required=True)
     api_key = forms.PasswordInputField('API Key', required=True)
@@ -49,4 +68,4 @@ class XinferenceImageModelCredential(BaseForm, BaseModelCredential):
         return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return XinferenceImageModelParams()

apps/models_provider/impl/zhipu_model_provider/credential/image.py

@@ -11,6 +11,26 @@ from common.forms import BaseForm, TooltipLabel
 from common.utils.logger import maxkb_logger
 from models_provider.base_model_provider import BaseModelCredential, ValidCode
 
+
+class ZhiPuImageModelParams(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=0.95,
+                                    _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=1024,
+        _min=1,
+        _max=100000,
+        _step=1,
+        precision=0)
+
+
 class ZhiPuImageModelCredential(BaseForm, BaseModelCredential):
     api_key = forms.PasswordInputField('API Key', required=True)
 
@@ -49,4 +69,4 @@ class ZhiPuImageModelCredential(BaseForm, BaseModelCredential):
         return {**model, 'api_key': super().encryption(model.get('api_key', ''))}
 
     def get_model_params_setting_form(self, model_name):
-        pass
+        return ZhiPuImageModelParams()