perf: 进一步防止llm递归调用

astrbot/core/pipeline/process_stage/method/llm_request.py

@@ -18,7 +18,7 @@ class LLMRequestSubStage(Stage):
     async def initialize(self, ctx: PipelineContext) -> None:
         self.ctx = ctx
         
-    async def process(self, event: AstrMessageEvent) -> Union[None, AsyncGenerator[None, None]]:
+    async def process(self, event: AstrMessageEvent, _nested: bool = False) -> Union[None, AsyncGenerator[None, None]]:
         req: ProviderRequest = None
         
         provider = self.ctx.plugin_manager.context.get_using_provider()
@@ -58,6 +58,8 @@ class LLMRequestSubStage(Stage):
         
         try:
             logger.debug(f"提供商请求 Payload: {req.__dict__}")
+            if _nested:
+                req.func_tool = None # 暂时不支持递归工具调用
             llm_response = await provider.text_chat(**req.__dict__) # 请求 LLM
             await Metric.upload(llm_tick=1, model_name=provider.get_model(), provider_type=provider.meta().type)
 
@@ -91,7 +93,7 @@ class LLMRequestSubStage(Stage):
                     for tool_name, tool_result in function_calling_result.items():
                         extra_prompt += f"Tool: {tool_name}\nTool Result: {tool_result}\n"
                     req.prompt += extra_prompt
-                    async for _ in self.process(event):
+                    async for _ in self.process(event, _nested=True):
                         yield
 
         except BaseException as e: