Fix auth logic

README.md

@@ -192,8 +192,11 @@ Hooks control the EventMessage in sender and receiver. For example, we have `voi
 you can enable it by setting `VOICE_REPLY_ME=true` in `.env`.
 
 ```shell
-/env VOICE_REPLY_ME=true
+/env VOICE_REPLY_ME=yes
+# must
+
 /env REECHO_VOICE_KEY=<key in dev.reecho.ai>
+# not must
 ```
 
 use `/env VOICE_REPLY_ME=NONE` to disable this env.

app/receiver/function.py

@@ -232,6 +232,7 @@ async def run_pending_task(task: TaskHeader, pending_task: ToolCall):
     async def process_function_call(self, message: AbstractIncomingMessage):
         """
         定位，解析，运行函数。要求认证，或申请结束/继续指标。
+        Receive credential, or a list of function calls, attention, message may queue itself for auth.
         :param message: message from queue
         :return: None
         """
@@ -242,27 +243,39 @@ async def process_function_call(self, message: AbstractIncomingMessage):
             f"[552351] Received A Function Call from {message.body.decode('utf-8')}"
         )
         task: TaskHeader = TaskHeader.model_validate_json(message.body.decode("utf-8"))
-        RUN_LIMIT = 6
-        while task.task_sign.tool_calls_pending and RUN_LIMIT > 0:
+        # Get Function Call
+        pending_task: ToolCall = await task.task_sign.get_pending_tool_call(
+            tool_calls_pending_now=task.task_sign.snapshot_credential,
+            return_default_if_empty=False,
+        )
+        if pending_task:
+            await self.run_task(task=task, pending_task=pending_task)
+        if task.task_sign.snapshot_credential:
+            return logger.debug(
+                f"Received A Credential {task.task_sign.snapshot_credential}, End Run Function Call Loop!"
+            )
+        RUN_LIMIT = 4
+        for pending_task in task.task_sign.tool_calls_pending:
             RUN_LIMIT -= 1
-            # Get Function Call
-            pending_task: ToolCall = await task.task_sign.get_pending_tool_call(
-                tool_calls_pending_now=task.task_sign.snapshot_credential,
-                return_default_if_empty=True,
+            if RUN_LIMIT <= 0:
+                logger.error("Limit Run Times, Stop Run Function Call Loop!")
+                break
+            logger.debug(
+                f"Received A ToolCall {RUN_LIMIT} {len(task.task_sign.tool_calls_pending)}"
             )
-            if not pending_task:
-                return logger.debug("But No ToolCall")
-            logger.debug("Received A ToolCall")
-            try:
-                await self.run_pending_task(task=task, pending_task=pending_task)
-            except Exception as e:
-                await task.task_sign.complete_task(
-                    tool_calls=pending_task, success_or_not=False, run_result=str(e)
-                )
-                logger.error(f"Function Call Error {e}")
-                raise e
-            finally:
-                logger.trace("Function Call Finished")
+            await self.run_task(task=task, pending_task=pending_task)
+
+    async def run_task(self, task, pending_task):
+        try:
+            await self.run_pending_task(task=task, pending_task=pending_task)
+        except Exception as e:
+            await task.task_sign.complete_task(
+                tool_calls=pending_task, success_or_not=False, run_result=str(e)
+            )
+            logger.error(f"Function Call Error {e}")
+            raise e
+        finally:
+            logger.trace("Function Call Finished")
 
     async def on_message(self, message: AbstractIncomingMessage):
         """

llmkira/extra/plugins/search/__init__.py

@@ -63,9 +63,9 @@ class SearchTool(BaseTool):
     env_prefix: str = "SERPER_"
 
     def require_auth(self, env_map: dict) -> bool:
-        if "SERPER_API_KEY" in env_map:
-            return False
-        return True
+        if env_map.get("SERPER_API_KEY", None) is None:
+            return True
+        return False
 
     @classmethod
     def env_help_docs(cls, empty_env: List[str]) -> str:

llmkira/kv_manager/instruction.py

@@ -5,7 +5,7 @@
 DEFAULT_INSTRUCTION = (
     "[ASSISTANT RULE]"
     "SPEAK IN MORE CUTE STYLE, DONT REPEAT, ACT STEP BY STEP, CALL USER MASTER, REPLY IN USER "
-    "LANGUAGE"
+    "LANGUAGE, ACT STEP BY STEP"
     "[RULE END]"
 )
 

llmkira/openai/request.py

@@ -166,7 +166,7 @@ def make_url(base_url: str):
     def check_vision(self):
         if not self.model.startswith(("gpt-4-vision", "gpt-4-turbo", "claude-3")):
             logger.info(
-                "Remove the image content part from the messages, because the model is not supported."
+                "Try to remove the image content part from the messages, because the model is not supported."
             )
             for message in self.messages:
                 if isinstance(message, UserMessage) and isinstance(

llmkira/sdk/tools/schema.py

@@ -70,7 +70,7 @@ def require_auth(self, env_map: dict) -> bool:
         """
         Check if authentication is required
         """
-        return False
+        return True
 
     @final
     def get_os_env(self, env_name):