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/vision_tools.py

@@ -314,13 +314,13 @@ async def vision_analyze_tool(
         logger.info("Processing image with %s...", model)
         
         # Call the vision API
-        from agent.auxiliary_client import get_auxiliary_extra_body
+        from agent.auxiliary_client import get_auxiliary_extra_body, auxiliary_max_tokens_param
         _extra = get_auxiliary_extra_body()
         response = await _aux_async_client.chat.completions.create(
             model=model,
             messages=messages,
             temperature=0.1,
-            max_tokens=2000,
+            **auxiliary_max_tokens_param(2000),
             **({} if not _extra else {"extra_body": _extra}),
         )