增加模型

config.yaml

@@ -22,7 +22,12 @@ model_list:
       api_base: os.environ/NEWAPI_BASE_URL
       api_key: os.environ/NEWAPI_API_KEY
 
-
+  - model_name: deepseek-v4-pro
+    litellm_params:
+      <<: *token_pricing
+      model: volcengine/deepseek-v4-flash
+      api_base: os.environ/NEWAPI_BASE_URL
+      api_key: os.environ/NEWAPI_API_KEY
  
           
  #=======================火山平台，限时免费 
@@ -278,6 +283,18 @@ model_list:
 
   #=======================豆包汇总思考等级low
 
+  - model_name: doubao-seed-1-8
+    litellm_params:
+      <<: *token_pricing
+      model: volcengine/doubao-seed-1-8-251228
+      api_base: os.environ/HUOSHAN_BASE_URL
+      api_key: os.environ/HUOSHAN_API_KEY
+      drop_params: true
+      extra_headers:
+        Connection: "close" 
+      extra_body:
+        reasoning_effort: "high"
+
   - model_name: doubao-seed-low
     litellm_params:
       <<: *token_pricing
@@ -433,7 +450,7 @@ litellm_settings:
   #drop_params: true  #启用drop_params，这样LiteLLM会忽略不支持的参数，但参数仍然会传递给后端API
   num_retries: 3 # retry call 3 times on each model_name (e.g. zephyr-beta)
   fallbacks: [
-    {"glm-5.2": ["deepseek-v4-flash"]}
+    {"doubao-seed-high": ["deepseek-v4-pro"]} 
   ]
   default_fallbacks: ["deepseek-v4-flash"]
   request_timeout: 120 # raise Timeout error if call takes longer than 10s. Sets litellm.request_timeout