fix: satisfy Google Gemini's function_response requirements to avoid 400 Invalid argument errors (#7216)

Gemini API requires function_response to be a google.protobuf.Struct
(JSON object). When tool results are plain text strings, the API
returns 400 Invalid argument. Detect non-JSON tool content for Gemini
models and wrap it in {"result": content} before sending.

Fixes #7134

Author: he-yufeng

astrbot/core/provider/sources/openai_source.py

@@ -863,6 +863,9 @@ async def _prepare_chat_payload(
 
     def _finally_convert_payload(self, payloads: dict) -> None:
         """Finally convert the payload. Such as think part conversion, tool inject."""
+        model = payloads.get("model", "").lower()
+        is_gemini = "gemini" in model
+
         for message in payloads.get("messages", []):
             if message.get("role") == "assistant" and isinstance(
                 message.get("content"), list
@@ -879,6 +882,18 @@ def _finally_convert_payload(self, payloads: dict) -> None:
                 if reasoning_content:
                     message["reasoning_content"] = reasoning_content
 
+            # Gemini 的 function_response 要求 google.protobuf.Struct（即 JSON 对象），
+            # 纯文本会触发 400 Invalid argument，需要包一层 JSON。
+            if is_gemini and message.get("role") == "tool":
+                content = message.get("content", "")
+                if isinstance(content, str):
+                    try:
+                        json.loads(content)
+                    except (json.JSONDecodeError, ValueError):
+                        message["content"] = json.dumps(
+                            {"result": content}, ensure_ascii=False
+                        )
+
     async def _handle_api_error(
         self,
         e: Exception,