send image with telegram message

rootfs/agents/Mia/agent.toml

@@ -1,10 +1,10 @@
 instance_id = "Mia"
 fullname = "Mia"
-llm_model_name = "gpt-3.5-turbo-16k-0613"
+llm_model_name = "gpt-4"
 max_token_size = 16000
 #enable_function =["add_event"]
 #enable_kb = "true"
-enable_timestamp = "true"
+enable_timestamp = "false"
 owner_prompt = "我是你的主人{name}"
 contact_prompt = "我是你的朋友{name}"
 owner_env = "knowledge"
@@ -18,6 +18,7 @@ content = """
 你在收到我的信息后，按如下规则处理
 1. 在第一次接受到一条信息时，优先尝试用合适的关键字查询去查询知识库。
 2. 如果信息中包含一段知识库的查询结果，尝试用查询结果处理，如果还是不能处理，尝试递增index继续查询。
-3. 如果知识库返回不了结果了，请尽力返回。
+3. 如果要返回知识库结果条目，在消息开头附上他的json字符串。
+4. 如果知识库返回不了结果了，请尽力返回。
 """
 

src/aios_kernel/agent.py

@@ -358,13 +358,6 @@ class AIAgent:
             old_content = msg.get("content")
             msg["content"] = old_content.format_map(self.owner_env)
 
-    async def _get_knowlege_prompt(self,input_msg:AgentPrompt) -> AgentPrompt:
-        if self.enable_kb is False:
-            return None
-        
-        from .knowledge_base import KnowledgeBase
-        return await KnowledgeBase().query_prompt(input_msg)
-
     async def _process_msg(self,msg:AgentMsg) -> AgentMsg:
             from .compute_kernel import ComputeKernel
             from .bus import AIBus
@@ -392,11 +385,6 @@ class AIAgent:
 
             history_prmpt,history_token_len = await self._get_prompt_from_session(chatsession,system_prompt_len + function_token_len,input_len)
             prompt.append(history_prmpt) # chat context
-            
-            kb_prompt = await self._get_knowlege_prompt(msg_prompt)
-            prompt.append(kb_prompt)
-            prompt.append(msg_prompt)
-
 
             logger.debug(f"Agent {self.agent_id} do llm token static system:{system_prompt_len},function:{function_token_len},history:{history_token_len},input:{input_len}, totoal prompt:{system_prompt_len + function_token_len + history_token_len} ")
             task_result:ComputeTaskResult = await ComputeKernel.get_instance().do_llm_completion(prompt,self.llm_model_name,self.max_token_size,inner_functions)

src/aios_kernel/knowledge_base.py

@@ -238,6 +238,31 @@ class KnowledgeBase:
         content += ".\n"  
 
         return content
+    
+    def parse_object_in_message(self, message: str) -> KnowledgeObject:
+        # get message's first line 
+        lines = message.split("\n")
+        if len(lines) > 0:
+            message = lines[0]
+            try:
+                desc = json.loads(message)
+                object_id = desc["object_id"]
+            except:
+                return None
+            
+            if object_id is not None:
+                return self.__load_object(ObjectID(object_id))
+            
+            
+    def bytes_from_object(self, object: KnowledgeObject) -> bytes:
+        if object.get_object_type() == ObjectType.Image:
+            image_object = object
+            return self.store.get_chunk_reader().read_chunk_list_to_single_bytes(image_object.get_chunk_list())
+           
+
+
+           
+
 
 
 class KnowledgeEnvironment(Environment):

src/aios_kernel/tg_tunnel.py

@@ -9,6 +9,10 @@ from telegram import Bot
 from telegram.ext import Updater
 from telegram.error import Forbidden, NetworkError
 
+from knowledge.object.object_id import ObjectType
+
+from .knowledge_base import KnowledgeBase
+
 from .tunnel import AgentTunnel
 from .storage import AIStorage
 from .contact_manager import ContactManager,Contact,FamilyMember
@@ -171,13 +175,20 @@ class TelegramTunnel(AgentTunnel):
         else:
             if resp_msg.body_mime is None:
                 if resp_msg.body is not None:
-                    pos = resp_msg.body.find("audio file")
-                    if pos != -1:
-                        audio_file = resp_msg.body[pos+11:].strip()
-                        if audio_file.startswith("\""):
-                            audio_file = audio_file[1:-1]
-                        await update.message.reply_voice(audio_file)
-                        return
+                    knowledge_object = KnowledgeBase().parse_object_in_message(resp_msg.body)
+                    if knowledge_object is not None:
+                        if knowledge_object.get_object_type() == ObjectType.Image:
+                            image = KnowledgeBase().bytes_from_object(knowledge_object)
+                            await update.message.reply_photo(image)
+                            return
+                    else:
+                        pos = resp_msg.body.find("audio file")
+                        if pos != -1:
+                            audio_file = resp_msg.body[pos+11:].strip()
+                            if audio_file.startswith("\""):
+                                audio_file = audio_file[1:-1]
+                            await update.message.reply_voice(audio_file)
+                            return
                 await update.message.reply_text(resp_msg.body)
             else:
                 if resp_msg.body_mime.startswith("image"):