Merge remote-tracking branch 'origin/main' into MVP

# Conflicts:
#	src/service/aios_shell/aios_shell.py

README.md

@@ -58,7 +58,7 @@ Click the image below for a demo:
 There are two ways to install the Internal Test Version of OpenDAN:
 
 1. Installation through docker, this is also the installation method we recommend now
-2. Installing through the source code, this method may encounter some traditional Pyhont dependence problems and requires you to have a certain ability to solve.But if you want to do secondary development of OpenDAN, this method is necessary.
+2. Installing through the source code, this method may encounter some traditional Python dependence problems and requires you to have a certain ability to solve.But if you want to do secondary development of OpenDAN, this method is necessary.
 
 ### Preparation before installation
 
@@ -75,7 +75,7 @@ If you don't know how to install docker, you can refer to [here](https://docs.do
 2. OpenAI API Token
 If there is no api token, you can apply for [here](https://beta.openai.com/)
 
-Applying for the API Token may have some thresholds for new players. You can find friends around you, and you can give you a temporary, or join our internal test experience group. We will also release some free experience API token from time to time.These token is limited to the maximum consumption and effective time
+Applying for the API Token may have some thresholds for new players. You can find friends around you, and he can give you a temporary, or join our internal test experience group. We will also release some free experience API token from time to time.These token is limited to the maximum consumption and effective time
 
 ### Install
 
@@ -136,21 +136,27 @@ Say Hello to your private AI assistant Jarvis !
 
 ### Build OpenDAN from source code
 1. Install the latest version of python (>= 3.11) and pip
-2. Clone the source code
-```
-git clone https://github.com/fiatrete/OpenDAN-Personal-AI-OS.git
-cd OpenDAN-Personal-AI-OS
-```
-3. Install the dependent python library
-```
-pip install -r ./src/requirements.txt
-```
-Waiting for installation.
+1. Clone the source code
+   ```
+   git clone https://github.com/fiatrete/OpenDAN-Personal-AI-OS.git
+   cd OpenDAN-Personal-AI-OS
+   ```
+1. Enable virtual env
+   ```
+   virtualenv venv
+   source ./venv/bin/activate
+   ```
+1. Install the dependent python library
+   ```
+   pip install -r ./src/requirements.txt
+   ```
+   Waiting for installation.
+1. Start OpenDAN through aios_shell
+   ```
+   python ./src/srvice/aios_shell/aios_shell.py
+   ```
+   1. If seeing error saying `No ffmpeg exe could be found`, you need to install it manually from https://www.ffmpeg.org/
       
-4. Start OpenDAN through aios_shell
-```
-python ./src/srvice/aios_shell/aios_shell.py
-```
 Now OpenDAN runs in the development mode, and the directory is:
 - AIOS_ROOT: ./rootfs (/opt/aios in docker)
 - AIOS_MYAI: ~/myai (/root/myai in docer)

src/aios_kernel/compute_node_config.py

@@ -70,10 +70,12 @@ class ComputeNodeConfig:
     def remove_node(self, model_type: str, url: str, model_name: str):
         if model_type == "llama":
             llama_nodes_cfg = self.config.get("llama") or []
-            for i in range(0, len(llama_nodes_cfg)):
-                cfg = llama_nodes_cfg[i]
+            i = 0
+            for cfg in llama_nodes_cfg:
                 if url == cfg["url"] and model_name == cfg["model_name"]:
                     llama_nodes_cfg.pop(i)
+                else:
+                    i += 1
 
     def list(self) -> str:
         return toml.dumps(self.config)

src/aios_kernel/workflow.py

@@ -471,8 +471,9 @@ class Workflow:
     async def _get_prompt_from_session(self,the_role:AIRole,chatsession:AIChatSession) -> AgentPrompt:
         messages = chatsession.read_history(the_role.history_len) # read last 10 message
         result_prompt = AgentPrompt()
+        
         for msg in reversed(messages):
-            if msg.sender == chatsession.owner_id:
+            if msg.sender == the_role.role_id:
                 result_prompt.messages.append({"role":"assistant","content":msg.body})
             else:
                 result_prompt.messages.append({"role":"user","content":f"{msg.body}"})

src/service/aios_shell/aios_shell.py

@@ -356,10 +356,13 @@ class AIOS_Shell:
             pipelines = KnowledgePipelineManager.get_instance().get_pipelines()
             print_formatted_text("\r\n".join(pipeline.get_name() for pipeline in pipelines))
         if sub_cmd == "journal":
+            try:
                 name = args[1]
                 topn = 10 if len(args) == 2 else int(args[2])
                 journals = [str(journal) for journal in KnowledgePipelineManager.get_instance().get_pipeline(name).get_journal().latest_journals(topn)]
                 print_formatted_text("\r\n".join(str(journal) for journal in journals))
+            except ValueError:
+                return FormattedText([("class:title", f"/knowledge journal failed: {args[1]} is not a valid integer.\n")])
         if sub_cmd == "query":
             if len(args) < 2:
                 return show_text
@@ -404,8 +407,8 @@ class AIOS_Shell:
                 if len(args) < 4:
                     return show_text
                 
-                model_name = args[3]
-                url = args[4]
+                model_name = args[2]
+                url = args[3]
                 ComputeNodeConfig.get_instance().remove_node("llama", url, model_name)
                 ComputeNodeConfig.get_instance().save()
             else:
@@ -760,6 +763,7 @@ async def main():
                                '/disable $feature',
                                '/node add llama $model_name $url',
                                '/node rm llama $model_name $url',
+                               '/node list',
                                '/show',
                                '/exit',
                                '/help'], ignore_case=True)

src/service/aios_shell/proxy.py

@@ -35,10 +35,15 @@ def apply_storage():
                 socks.set_default_proxy(socks.SOCKS5, host, int(port), username = username, password = password)
                 socket.socket = socks.socksocket
                 logger.info(f"proxy {host_url} will be used.")
+            case "http":
+                (host, port) = host.split(":")
+                socks.set_default_proxy(socks.HTTP, host, int(port), username = username, password = password)
+                socket.socket = socks.socksocket
+                logger.info(f"proxy {host_url} will be used.")
             case _:
                 logger.error(f"the proxy type ({proxy_type}) has not support. proxy will not be used.")
                 
 
 def declare_user_config():
     user_config = AIStorage.get_instance().get_user_config()
-    user_config.add_user_config("proxy", "set your proxy service as 'proxy_type@host:port@username@password', 'proxy_type' = 'socks5'", True, None)
+    user_config.add_user_config("proxy", "set your proxy service as 'proxy_type@host:port@username@password', 'proxy_type' = 'socks5|http'", True, None)