添加doubao-seed-2-0-code

config.yaml

@@ -84,19 +84,6 @@ model_list:
       extra_headers:
         Connection: "close"
 
-  # doubao-seed-2-0-pro 强制中等思考，用作回退
-  - model_name: doubao-seed-2-0-pro-medium
-    litellm_params:
-      <<: *token_pricing
-      model: volcengine/doubao-seed-2-0-pro-260215
-      api_base: os.environ/HUOSHAN_BASE_URL
-      api_key: os.environ/HUOSHAN_API_KEY
-      timeout: 1800
-      drop_params: true  
-      extra_headers:
-        Connection: "close"
-      extra_body:
-        reasoning_effort: "medium"
         
   - model_name: doubao-seed-2-0-lite
     litellm_params:
@@ -108,6 +95,30 @@ model_list:
       extra_headers:
         Connection: "close"
 
+  - model_name: doubao-seed-2-0-code
+    litellm_params:
+      <<: *token_pricing
+      model: volcengine/doubao-seed-2-0-code-preview-260215
+      api_base: os.environ/HUOSHAN_BASE_URL
+      api_key: os.environ/HUOSHAN_API_KEY
+      drop_params: true
+      extra_headers:
+        Connection: "close"
+
+  # doubao-seed-2-0-code 强制中等思考，用作回退
+  - model_name: doubao-seed-2-0-code-medium
+    litellm_params:
+      <<: *token_pricing
+      model: volcengine/doubao-seed-2-0-code-preview-260215
+      api_base: os.environ/HUOSHAN_BASE_URL
+      api_key: os.environ/HUOSHAN_API_KEY
+      timeout: 1800
+      drop_params: true  
+      extra_headers:
+        Connection: "close"
+      extra_body:
+        reasoning_effort: "medium"
+
 #  - model_name: glm-4.7
 #    litellm_params:
 #      <<: *token_pricing
@@ -145,19 +156,19 @@ model_list:
       extra_body:
         reasoning_effort: "minimal"    
 
-  - model_name: fanyi
-    litellm_params:
-      <<: *token_pricing
-      model: volcengine/doubao-seed-2-0-lite-260215
-      api_base: os.environ/HUOSHAN_BASE_URL
-      api_key: os.environ/HUOSHAN_API_KEY
-      timeout: 120 
-      stream: false 
-      drop_params: true
-      extra_headers:
-        Connection: "close"               
-      extra_body:
-        reasoning_effort: "minimal"
+#  - model_name: fanyi
+#    litellm_params:
+#      <<: *token_pricing
+#      model: volcengine/doubao-seed-2-0-lite-260215
+#      api_base: os.environ/HUOSHAN_BASE_URL
+#      api_key: os.environ/HUOSHAN_API_KEY
+#      timeout: 120 
+#      stream: false 
+#      drop_params: true
+#      extra_headers:
+#        Connection: "close"               
+#      extra_body:
+#        reasoning_effort: "minimal"
 
           
 
@@ -171,7 +182,7 @@ litellm_settings:
 #  fallbacks: [
 #    {"gemini-2.5-flash": ["gemini-2.5-pro"]}
 #  ]
-  default_fallbacks: ["doubao-seed-2-0-pro-medium"]
+  default_fallbacks: ["doubao-seed-2-0-code-medium"]
   request_timeout: 120 # raise Timeout error if call takes longer than 10s. Sets litellm.request_timeout 
   cache: False          # 开启缓存
 #  cache_params:

recover.py

@@ -0,0 +1,34 @@
+import json
+import re
+
+transcript_path = r"C:\Users\Kimber Xu\.gemini\antigravity-ide\brain\ef230fd3-39a1-47f8-aa16-4969fb505243\.system_generated\logs\transcript.jsonl"
+file_path = r"d:\PyCharm_projects\litellm-config\volc_limit_sync.py"
+
+lines_dict = {}
+
+with open(transcript_path, "r", encoding="utf-8") as f:
+    for line in f:
+        try:
+            step = json.loads(line)
+            if step.get("type") == "SYSTEM_RESPONSE":
+                content = step.get("content", "")
+                if "File Path: `file:///d:/PyCharm_projects/litellm-config/volc_limit_sync.py`" in content:
+                    # Extract lines
+                    for match in re.finditer(r"^(\d+):\s(.*)$", content, re.MULTILINE):
+                        line_num = int(match.group(1))
+                        line_text = match.group(2)
+                        lines_dict[line_num] = line_text
+        except Exception as e:
+            pass
+
+if lines_dict:
+    max_line = max(lines_dict.keys())
+    with open(file_path, "w", encoding="utf-8") as f:
+        for i in range(1, max_line + 1):
+            if i in lines_dict:
+                f.write(lines_dict[i] + "\n")
+            else:
+                f.write("\n")
+    print(f"Recovered {max_line} lines to {file_path}")
+else:
+    print("Failed to find lines in transcript.")