perf: 增加对RECITATION完成原因的处理，提取内容处理逻辑到独立方法

astrbot/core/provider/sources/gemini_source.py

@@ -182,7 +182,9 @@ class ProviderGoogleGenAI(Provider):
 
         return gemini_contents
 
-    async def _query(self, payloads: dict, tools: FuncCall) -> LLMResponse:
+    async def _query(
+        self, payloads: dict, tools: FuncCall, temperature: float = 0.7
+    ) -> LLMResponse:
         """非流式请求 Gemini API"""
         if tools:
             t = tools.get_func_desc_google_genai_style()
@@ -205,7 +207,6 @@ class ProviderGoogleGenAI(Provider):
             modalites.append("Image")
 
         loop = True
-
         while loop:
             loop = False
             result = await self.client.models.generate_content(
@@ -213,6 +214,7 @@ class ProviderGoogleGenAI(Provider):
                 contents=conversation,
                 config=types.GenerateContentConfig(
                     system_instruction=system_instruction,
+                    temperature=temperature,
                     tools=[tool] if tool else None,
                     safety_settings=self.safety_settings
                     if self.safety_settings
@@ -222,26 +224,35 @@ class ProviderGoogleGenAI(Provider):
                     ),
                 ),
             )
-            # logger.debug(f"gemini result: {result}")
 
-            if "Developer instruction is not enabled" in str(result):
+            result_str = str(result)
+            finish_reason = result.candidates[0].finish_reason
+            if "Developer instruction is not enabled" in result_str:
                 logger.warning(f"{self.get_model()} 不支持 system prompt，已自动去除。")
                 system_instruction = ""
                 loop = True
-            # 不支持函数调用的模型SDK似乎会自动去除，保险起见不删除此行判断。
-            elif "Function calling is not enabled" in str(result):
+                continue
+            elif "Function calling is not enabled" in result_str:
                 logger.warning(f"{self.get_model()} 不支持函数调用，已自动去除。")
                 tool = None
                 loop = True
-            elif "Multi-modal output is not supported" in str(result):
+                continue
+            elif "Multi-modal output is not supported" in result_str:
                 logger.warning(f"{self.get_model()} 不支持多模态输出，降级为文本模态。")
                 modalites = ["Text"]
                 loop = True
+                continue
+            elif finish_reason == types.FinishReason.RECITATION:
+                logger.warning("发生了recitation，正在尝试加温重试...")
+                temperature += 0.2
+                logger.info(f"当前温度: {temperature}")
+                if temperature < 2:
+                    loop = True
+                else:
+                    raise Exception("温度已到达(或超过)2")
+                continue
 
         llm_response = LLMResponse("assistant")
-        chain = []
-
-        finish_reason = result.candidates[0].finish_reason
 
         if finish_reason == types.FinishReason.SAFETY:
             raise Exception("模型生成内容未通过用户定义的内容安全检查")
@@ -255,9 +266,22 @@ class ProviderGoogleGenAI(Provider):
             raise Exception("模型生成内容违反Gemini平台政策")
 
         if not result.candidates[0].content.parts:
+            logger.debug(result.candidates)
             raise Exception("API 返回的内容为空。")
 
-        for part in result.candidates[0].content.parts:
+        llm_response.result_chain = self._process_content_parts(
+            result.candidates[0].content.parts, llm_response
+        )
+
+        return llm_response
+
+    def _process_content_parts(
+        self, parts: types.Part, llm_response: LLMResponse
+    ) -> MessageChain:
+        """处理内容部分并构建消息链"""
+        chain = []
+        part: types.Part
+        for part in parts:
             if part.text:
                 chain.append(Comp.Plain(part.text))
             elif part.function_call:
@@ -267,10 +291,7 @@ class ProviderGoogleGenAI(Provider):
                 llm_response.tools_call_ids.append(part.function_call.id)
             elif part.inline_data and part.inline_data.mime_type.startswith("image/"):
                 chain.append(Comp.Image.fromBytes(part.inline_data.data))
-
-        llm_response.result_chain = MessageChain(chain=chain)
-
-        return llm_response
+        return MessageChain(chain=chain)
 
     async def text_chat(
         self,
@@ -305,11 +326,12 @@ class ProviderGoogleGenAI(Provider):
         retry = 10
         keys = self.api_keys.copy()
         chosen_key = random.choice(keys)
+        temp = kwargs.get("temperature", 0.7)  # 暂定默认温度为0.7
 
         for _ in range(retry):
             try:
                 self.chosen_api_key = chosen_key
-                llm_response = await self._query(payloads, func_tool)
+                llm_response = await self._query(payloads, func_tool, temp)
                 break
             except Exception as e:
                 if "429" in str(e) or "API key not valid" in str(e):