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/session_search_tool.py

@@ -170,7 +170,7 @@ async def _summarize_session(
     max_retries = 3
     for attempt in range(max_retries):
         try:
-            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 _async_aux_client.chat.completions.create(
                 model=_SUMMARIZER_MODEL,
@@ -180,7 +180,7 @@ async def _summarize_session(
                 ],
                 **({} if not _extra else {"extra_body": _extra}),
                 temperature=0.1,
-                max_tokens=MAX_SUMMARY_TOKENS,
+                **auxiliary_max_tokens_param(MAX_SUMMARY_TOKENS),
             )
             return response.choices[0].message.content.strip()
         except Exception as e: