feat: add Google AI Studio API support with platform-based detection (#502)

* feat: add Google AI Studio API support with platform-based detection

* chore: update configuration_guide.md

* fix the uv.lock formate error

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>

src/llms/llm.py

@@ -8,7 +8,9 @@ from typing import Any, Dict, get_args
 import httpx
 from langchain_core.language_models import BaseChatModel
 from langchain_deepseek import ChatDeepSeek
+from langchain_google_genai import ChatGoogleGenerativeAI
 from langchain_openai import AzureChatOpenAI, ChatOpenAI
+from typing import get_args
 
 from src.config import load_yaml_config
 from src.config.agents import LLMType
@@ -83,6 +85,28 @@ def _create_llm_use_conf(llm_type: LLMType, conf: Dict[str, Any]) -> BaseChatMod
         merged_conf["http_client"] = http_client
         merged_conf["http_async_client"] = http_async_client
 
+    # Check if it's Google AI Studio platform based on configuration
+    platform = merged_conf.get("platform", "").lower()
+    is_google_aistudio = platform == "google_aistudio" or platform == "google-aistudio"
+
+    if is_google_aistudio:
+        # Handle Google AI Studio specific configuration
+        gemini_conf = merged_conf.copy()
+
+        # Map common keys to Google AI Studio specific keys
+        if "api_key" in gemini_conf:
+            gemini_conf["google_api_key"] = gemini_conf.pop("api_key")
+
+        # Remove base_url and platform since Google AI Studio doesn't use them
+        gemini_conf.pop("base_url", None)
+        gemini_conf.pop("platform", None)
+
+        # Remove unsupported parameters for Google AI Studio
+        gemini_conf.pop("http_client", None)
+        gemini_conf.pop("http_async_client", None)
+
+        return ChatGoogleGenerativeAI(**gemini_conf)
+
     if "azure_endpoint" in merged_conf or os.getenv("AZURE_OPENAI_ENDPOINT"):
         return AzureChatOpenAI(**merged_conf)