feat(api): implement dynamic max tokens handling for various providers

- Added _max_tokens_param method in AIAgent to return appropriate max tokens parameter based on the provider (OpenAI vs. others).
- Updated API calls in AIAgent to utilize the new max tokens handling.
- Introduced auxiliary_max_tokens_param function in auxiliary_client for consistent max tokens management across auxiliary clients.
- Refactored multiple tools to use auxiliary_max_tokens_param for improved compatibility with different models and providers.

tools/browser_tool.py

@@ -812,10 +812,11 @@ def _extract_relevant_content(
         )
 
     try:
+        from agent.auxiliary_client import auxiliary_max_tokens_param
         response = _aux_vision_client.chat.completions.create(
             model=EXTRACTION_MODEL,
             messages=[{"role": "user", "content": extraction_prompt}],
-            max_tokens=4000,
+            **auxiliary_max_tokens_param(4000),
             temperature=0.1,
         )
         return response.choices[0].message.content
@@ -1283,6 +1284,7 @@ def browser_vision(question: str, task_id: Optional[str] = None) -> str:
         )
 
         # Use the sync auxiliary vision client directly
+        from agent.auxiliary_client import auxiliary_max_tokens_param
         response = _aux_vision_client.chat.completions.create(
             model=EXTRACTION_MODEL,
             messages=[
@@ -1294,7 +1296,7 @@ def browser_vision(question: str, task_id: Optional[str] = None) -> str:
                     ],
                 }
             ],
-            max_tokens=2000,
+            **auxiliary_max_tokens_param(2000),
             temperature=0.1,
         )