Fix: can't upload image in ollama model #10447 (#10717)

### What problem does this PR solve?

Fix: can't upload image in ollama model #10447

### Type of change

- [X] Bug Fix (non-breaking change which fixes an issue)


### Change all `image=[]` to `image = None`

Changing `image=[]` to `images=None` avoids Python’s mutable default
parameter issue.
If you keep `images=[]`, all calls share the same list, so modifying it
(e.g., images.append()) will affect later calls.
Using images=None and creating a new list inside the function ensures
each call is independent.
This change does not affect current behavior — it simply makes the code
safer and more predictable.


把 `images=[]` 改成 `images=None` 是为了避免 Python 默认参数的可变对象问题。
如果保留 `images=[]`，所有调用都会共用同一个列表，一旦修改就会影响后续调用。
改成 None 并在函数内部重新创建列表，可以确保每次调用都是独立的。
这个修改不会影响现有运行结果，只是让代码更安全、更可控。

api/db/services/llm_service.py

@@ -210,19 +210,18 @@ class LLMBundle(LLM4Tenant):
     def _clean_param(chat_partial, **kwargs):
         func = chat_partial.func
         sig = inspect.signature(func)
-        keyword_args = []
         support_var_args = False
+        allowed_params = set()
+
         for param in sig.parameters.values():
-            if param.kind == inspect.Parameter.VAR_KEYWORD or param.kind == inspect.Parameter.VAR_POSITIONAL:
+            if param.kind == inspect.Parameter.VAR_KEYWORD:
                 support_var_args = True
-            elif param.kind == inspect.Parameter.KEYWORD_ONLY:
-                keyword_args.append(param.name)
-
-        use_kwargs = kwargs
-        if not support_var_args:
-            use_kwargs = {k: v for k, v in kwargs.items() if k in keyword_args}
-        return use_kwargs
-
+            elif param.kind in (inspect.Parameter.POSITIONAL_OR_KEYWORD, inspect.Parameter.KEYWORD_ONLY):
+                allowed_params.add(param.name)
+        if support_var_args:
+            return kwargs
+        else:
+            return {k: v for k, v in kwargs.items() if k in allowed_params}
     def chat(self, system: str, history: list, gen_conf: dict = {}, **kwargs) -> str:
         if self.langfuse:
             generation = self.langfuse.start_generation(trace_context=self.trace_context, name="chat", model=self.llm_name, input={"system": system, "history": history})