feat：upgrade extract ollama thinking content

Author: zgqgit

src/backend/bisheng/core/ai/__init__.py

@@ -3,12 +3,11 @@
 from langchain_community.document_compressors import DashScopeRerank
 from langchain_community.embeddings import DashScopeEmbeddings
 from langchain_deepseek import ChatDeepSeek
-from langchain_ollama import OllamaEmbeddings
+from langchain_ollama import OllamaEmbeddings, ChatOllama
 from langchain_openai import ChatOpenAI, AzureChatOpenAI, OpenAIEmbeddings, AzureOpenAIEmbeddings
 
 from .asr import OpenAIASRClient, AliyunASRClient, AzureOpenAIASRClient
 from .base import BaseASRClient, BaseTTSClient
-from .llm.chat_ollama import CustomChatOllamaWithReasoning
 from .llm.chat_openai_compatible import ChatOpenAICompatible
 from .rerank.common_rerank import CommonRerank
 from .rerank.xinference_rerank import XinferenceRerank
@@ -26,7 +25,7 @@
     'AliyunTTSClient',
     'AzureOpenAITTSClient',
 
-    'CustomChatOllamaWithReasoning',
+    'ChatOllama',
     'ChatOpenAI',
     'AzureChatOpenAI',
     'ChatTongyi',

src/backend/bisheng/core/ai/llm/chat_ollama.py

@@ -14,7 +14,7 @@
 
 from bisheng.common.errcode.server import NoLlmModelConfigError, LlmModelConfigDeletedError, LlmProviderDeletedError, \
     LlmModelTypeError, LlmModelOfflineError, InitLlmError
-from bisheng.core.ai import CustomChatOllamaWithReasoning, ChatOpenAI, ChatOpenAICompatible, \
+from bisheng.core.ai import ChatOllama, ChatOpenAI, ChatOpenAICompatible, \
     AzureChatOpenAI, ChatTongyi, ChatZhipuAI, MiniMaxChat, ChatAnthropic, ChatDeepSeek, \
     MoonshotChat
 from bisheng.llm.domain.const import LLMModelType, LLMServerType
@@ -35,7 +35,6 @@ def _get_user_kwargs(model_config: dict) -> dict:
 def _get_ollama_params(params: dict, server_config: dict, model_config: dict) -> dict:
     params['base_url'] = server_config.get('base_url', '').rstrip('/')
     # some bugs
-    params['extract_reasoning'] = False
     params['stream'] = params.pop('streaming', True)
     if params.get('max_tokens'):
         params['num_ctx'] = params.pop('max_tokens', None)
@@ -155,7 +154,7 @@ def _get_spark_params(params: dict, server_config: dict, model_config: dict) ->
 
 _llm_node_type: Dict = {
     # Open source inference framework
-    LLMServerType.OLLAMA.value: {'client': CustomChatOllamaWithReasoning, 'params_handler': _get_ollama_params},
+    LLMServerType.OLLAMA.value: {'client': ChatOllama, 'params_handler': _get_ollama_params},
     LLMServerType.XINFERENCE.value: {'client': ChatOpenAI, 'params_handler': _get_xinference_params},
     LLMServerType.LLAMACPP.value: {'client': ChatOpenAI, 'params_handler': _get_openai_params},
     LLMServerType.VLLM.value: {'client': ChatOpenAICompatible, 'params_handler': _get_openai_params},