add siliconflow support

Author: 2018wzh

backend/example.env

@@ -56,4 +56,6 @@ LLM_MODEL_CONFIG_bedrock_nova_lite_v1="model_name,aws_access_key,aws_secret_key,
 LLM_MODEL_CONFIG_bedrock_nova_pro_v1="model_name,aws_access_key,aws_secret_key,region_name"          #model_name="amazon.nova-pro-v1:0"
 LLM_MODEL_CONFIG_fireworks_deepseek_r1="model_name,fireworks_api_key"      #model_name="accounts/fireworks/models/deepseek-r1"
 LLM_MODEL_CONFIG_fireworks_deepseek_v3="model_name,fireworks_api_key"      #model_name="accounts/fireworks/models/deepseek-v3"
+LLM_MODEL_CONFIG_siliconflow_qwq-32b="Qwen/QwQ-32B,siliconflow_api_key"              #model_name="Qwen/QwQ-32B"
+LLM_MODEL_CONFIG_siliconflow_deepseek-r1="deepseek-ai/DeepSeek-R1,siliconflow_api_key"      #model_name="deepseek-ai/DeepSeek-R1"
 MAX_TOKEN_CHUNK_SIZE=2000 #Max token used to process/extract the file content.

backend/src/llm.py

@@ -73,6 +73,12 @@ def get_llm(model: str):
                 model=model_name,
                 temperature=0,
                 )
+        elif "siliconflow" in model:
+            model_name, api_key = env_value.split(",")
+            llm= ChatOpenAI(
+            base_url="https://api.siliconflow.cn/v1",
+            api_key=api_key,
+            model=model_name)
         elif "azure" in model:
             model_name, api_endpoint, api_key, api_version = env_value.split(",")
             llm = AzureChatOpenAI(

frontend/src/utils/Constants.ts

@@ -20,6 +20,8 @@ export const llms =
         'ecnu_ecnu-reasoner',
         'ecnu_ecnu-reasoner-lite',
         'ecnu_ecnu-plus',
+        'siliconflow_qwq-32b',
+        'siliconflow_deepseek-r1',
         'gemini_1.5_pro',
         'gemini_1.5_flash',
         'gemini_2.0_flash',