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Code Issues Actions 2 Packages Projects Releases Wiki Activity

refactor: image model get_num_tokens override

This commit is contained in:
CaptainB 2025-01-08 11:56:29 +08:00 committed by 刘瑞斌
parent bf279898b9
commit c46b7ab094
9 changed files with 40 additions and 62 deletions
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6
apps/setting/models_provider/impl/aliyun_bai_lian_model_provider/model/image.py
View File

@ -2,12 +2,11 @@
from typing import Dict
from langchain_community.chat_models import ChatOpenAI
from setting.models_provider.base_model_provider import MaxKBBaseModel
from setting.models_provider.impl.base_chat_open_ai import BaseChatOpenAI
class QwenVLChatModel(MaxKBBaseModel, ChatOpenAI):
class QwenVLChatModel(MaxKBBaseModel, BaseChatOpenAI):
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
@ -18,6 +17,7 @@ class QwenVLChatModel(MaxKBBaseModel, ChatOpenAI):
openai_api_base='https://dashscope.aliyuncs.com/compatible-mode/v1',
# stream_options={"include_usage": True},
streaming=True,
stream_usage=True,
**optional_params,
)
return chat_tong_yi

18
apps/setting/models_provider/impl/azure_model_provider/model/image.py
View File

@ -1,7 +1,7 @@
from typing import Dict
from typing import Dict, List
from langchain_core.messages import BaseMessage, get_buffer_string
from langchain_openai import AzureChatOpenAI
from langchain_openai.chat_models import ChatOpenAI
from common.config.tokenizer_manage_config import TokenizerManage
from setting.models_provider.base_model_provider import MaxKBBaseModel
@ -26,3 +26,17 @@ class AzureOpenAIImage(MaxKBBaseModel, AzureChatOpenAI):
streaming=True,
**optional_params,
)
def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int:
try:
return super().get_num_tokens_from_messages(messages)
except Exception as e:
tokenizer = TokenizerManage.get_tokenizer()
return sum([len(tokenizer.encode(get_buffer_string([m]))) for m in messages])
def get_num_tokens(self, text: str) -> int:
try:
return super().get_num_tokens(text)
except Exception as e:
tokenizer = TokenizerManage.get_tokenizer()
return len(tokenizer.encode(text))

12
apps/setting/models_provider/impl/ollama_model_provider/model/image.py
View File

@ -1,15 +1,8 @@
from typing import Dict
from urllib.parse import urlparse, ParseResult
from langchain_openai.chat_models import ChatOpenAI
from common.config.tokenizer_manage_config import TokenizerManage
from setting.models_provider.base_model_provider import MaxKBBaseModel
def custom_get_token_ids(text: str):
tokenizer = TokenizerManage.get_tokenizer()
return tokenizer.encode(text)
from setting.models_provider.impl.base_chat_open_ai import BaseChatOpenAI
def get_base_url(url: str):
@ -20,7 +13,7 @@ def get_base_url(url: str):
return result_url[:-1] if result_url.endswith("/") else result_url
class OllamaImage(MaxKBBaseModel, ChatOpenAI):
class OllamaImage(MaxKBBaseModel, BaseChatOpenAI):
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
@ -34,5 +27,6 @@ class OllamaImage(MaxKBBaseModel, ChatOpenAI):
openai_api_key=model_credential.get('api_key'),
# stream_options={"include_usage": True},
streaming=True,
stream_usage=True,
**optional_params,
)

12
apps/setting/models_provider/impl/openai_model_provider/model/image.py
View File

@ -1,17 +1,10 @@
from typing import Dict
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 OpenAIImage(MaxKBBaseModel, ChatOpenAI):
class OpenAIImage(MaxKBBaseModel, BaseChatOpenAI):
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
@ -22,5 +15,6 @@ class OpenAIImage(MaxKBBaseModel, ChatOpenAI):
openai_api_key=model_credential.get('api_key'),
# stream_options={"include_usage": True},
streaming=True,
stream_usage=True,
**optional_params,
)

6
apps/setting/models_provider/impl/qwen_model_provider/model/image.py
View File

@ -2,12 +2,11 @@
from typing import Dict
from langchain_community.chat_models import ChatOpenAI
from setting.models_provider.base_model_provider import MaxKBBaseModel
from setting.models_provider.impl.base_chat_open_ai import BaseChatOpenAI
class QwenVLChatModel(MaxKBBaseModel, ChatOpenAI):
class QwenVLChatModel(MaxKBBaseModel, BaseChatOpenAI):
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
@ -18,6 +17,7 @@ class QwenVLChatModel(MaxKBBaseModel, ChatOpenAI):
openai_api_base='https://dashscope.aliyuncs.com/compatible-mode/v1',
# stream_options={"include_usage": True},
streaming=True,
stream_usage=True,
**optional_params,
)
return chat_tong_yi

12
apps/setting/models_provider/impl/tencent_model_provider/model/image.py
View File

@ -1,17 +1,10 @@
from typing import Dict
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 TencentVision(MaxKBBaseModel, ChatOpenAI):
class TencentVision(MaxKBBaseModel, BaseChatOpenAI):
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
@ -22,5 +15,6 @@ class TencentVision(MaxKBBaseModel, ChatOpenAI):
openai_api_key=model_credential.get('api_key'),
# stream_options={"include_usage": True},
streaming=True,
stream_usage=True,
**optional_params,
)

12
apps/setting/models_provider/impl/volcanic_engine_model_provider/model/image.py
View File

@ -1,17 +1,10 @@
from typing import Dict
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 VolcanicEngineImage(MaxKBBaseModel, ChatOpenAI):
class VolcanicEngineImage(MaxKBBaseModel, BaseChatOpenAI):
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
@ -22,5 +15,6 @@ class VolcanicEngineImage(MaxKBBaseModel, ChatOpenAI):
openai_api_base=model_credential.get('api_base'),
# stream_options={"include_usage": True},
streaming=True,
stream_usage=True,
**optional_params,
)

12
apps/setting/models_provider/impl/xinference_model_provider/model/image.py
View File

@ -1,17 +1,10 @@
from typing import Dict
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 XinferenceImage(MaxKBBaseModel, ChatOpenAI):
class XinferenceImage(MaxKBBaseModel, BaseChatOpenAI):
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
@ -22,5 +15,6 @@ class XinferenceImage(MaxKBBaseModel, ChatOpenAI):
openai_api_key=model_credential.get('api_key'),
# stream_options={"include_usage": True},
streaming=True,
stream_usage=True,
**optional_params,
)

12
apps/setting/models_provider/impl/zhipu_model_provider/model/image.py
View File

@ -1,17 +1,10 @@
from typing import Dict
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 ZhiPuImage(MaxKBBaseModel, ChatOpenAI):
class ZhiPuImage(MaxKBBaseModel, BaseChatOpenAI):
@staticmethod
def new_instance(model_type, model_name, model_credential: Dict[str, object], **model_kwargs):
@ -22,5 +15,6 @@ class ZhiPuImage(MaxKBBaseModel, ChatOpenAI):
openai_api_base='https://open.bigmodel.cn/api/paas/v4',
# stream_options={"include_usage": True},
streaming=True,
stream_usage=True,
**optional_params,
)