Merge pull request #403 from LlmKira/dev

Logic Mock In Recursive function snapshot process

README.md

@@ -78,10 +78,10 @@ or [one-api](https://github.com/songquanpeng/one-api) independently.
 
 ### 🍔 Login Modes
 
-- `Login via url`: Use `/login token$https://provider.com` to Login. The program posts the token to the interface to
+- `Login via url`: Use `/login <a token>$<something like https://provider.com/login>` to Login. The program posts the token to the interface to
   retrieve configuration
   information, [how to develop this](https://github.com/LlmKira/Openaibot/blob/81eddbff0f136697d5ad6e13ee1a7477b26624ed/app/components/credential.py#L20).
-- `Login`: Use `/login https://api.com/v1$key$model` to login
+- `Login`: Use `/login https://<api endpoint>/v1$<api key>$<the model>` to login
 
 ### 🧀 Plugin Can Do More
 
@@ -145,6 +145,9 @@ npm install pm2 -g
 pm2 start pm2.json
 ```
 
+> **Be sure to change the default password for the command, or disable open ports to prevent the database from being
+scanned and attacked.**
+
 ### 🥣 Docker
 
 Build Hub: [sudoskys/llmbot](https://hub.docker.com/repository/docker/sudoskys/llmbot/general)

app/components/__init__.py

@@ -0,0 +1,9 @@
+from typing import Optional
+
+from app.components.credential import Credential
+from app.components.user_manager import USER_MANAGER
+
+
+async def read_user_credential(user_id: str) -> Optional[Credential]:
+    user = await USER_MANAGER.read(user_id=user_id)
+    return user.credential

app/components/credential.py

@@ -1,5 +1,4 @@
 import os
-from urllib.parse import urlparse
 
 import requests
 from dotenv import load_dotenv
@@ -15,6 +14,7 @@ class Credential(BaseModel):
     api_key: str
     api_endpoint: str
     api_model: str
+    api_tool_model: str = "gpt-3.5-turbo"
 
     @classmethod
     def from_provider(cls, token, provider_url):
@@ -36,37 +36,10 @@ def from_provider(cls, token, provider_url):
             api_key=user_data["api_key"],
             api_endpoint=user_data["api_endpoint"],
             api_model=user_data["api_model"],
+            api_tool_model=user_data.get("api_tool_model", "gpt-3.5-turbo"),
         )
 
 
-def split_setting_string(input_string):
-    if not isinstance(input_string, str):
-        return None
-    segments = input_string.split("$")
-
-    # 检查链接的有效性
-    def is_valid_url(url):
-        try:
-            result = urlparse(url)
-            return all([result.scheme, result.netloc])
-        except ValueError:
-            return False
-
-    # 开头为链接的情况
-    if is_valid_url(segments[0]) and len(segments) >= 3:
-        return segments[:3]
-    # 第二个元素为链接，第一个元素为字符串的情况
-    elif (
-        len(segments) == 2
-        and not is_valid_url(segments[0])
-        and is_valid_url(segments[1])
-    ):
-        return segments
-    # 其他情况
-    else:
-        return None
-
-
 load_dotenv()
 
 if os.getenv("GLOBAL_OAI_KEY") and os.getenv("GLOBAL_OAI_ENDPOINT"):

app/receiver/function.py

@@ -14,8 +14,12 @@
 from aio_pika.abc import AbstractIncomingMessage
 from loguru import logger
 
+from app.components import read_user_credential
+from app.components.credential import global_credential
 from llmkira.kv_manager.env import EnvManager
 from llmkira.kv_manager.tool_call import GLOBAL_TOOLCALL_CACHE_HANDLER
+from llmkira.logic import LLMLogic
+from llmkira.memory import global_message_runtime
 from llmkira.openai.cell import ToolCall
 from llmkira.sdk.tools.register import ToolRegister
 from llmkira.task import Task, TaskHeader
@@ -235,20 +239,7 @@ async def run_pending_task(task: TaskHeader, pending_task: ToolCall):
                 return logger.info(
                     f"[Snapshot Auth] \n--auth-require {pending_task.name} require."
                 )
-
-        # Resign Chain
-        # 时序实现，防止过度注册
-        if len(task.task_sign.tool_calls_pending) == 1:
-            if not has_been_called_recently(userid=task.receiver.uid, n_seconds=5):
-                logger.debug(
-                    "ToolCall run out, resign a new request to request stop sign."
-                )
-                await create_child_snapshot(
-                    task=task,
-                    memory_able=True,
-                    channel=task.receiver.platform,
-                )
-                # 运行函数, 传递模型的信息，以及上一条的结果的openai raw信息
+        # Run Function
         run_result = await _tool_obj.load(
             task=task,
             receiver=task.receiver,
@@ -257,11 +248,72 @@ async def run_pending_task(task: TaskHeader, pending_task: ToolCall):
             pending_task=pending_task,
             refer_llm_result=task.task_sign.llm_response,
         )
+        run_status = True
         # 更新任务状态
+        if run_result.get("exception"):
+            run_status = False
         await task.task_sign.complete_task(
             tool_calls=pending_task, success_or_not=True, run_result=run_result
         )
-        return run_result
+        # Resign Chain
+        # 时序实现，防止过度注册
+        if len(task.task_sign.tool_calls_pending) == 0:
+            if not has_been_called_recently(userid=task.receiver.uid, n_seconds=3):
+                credentials = await read_user_credential(user_id=task.receiver.uid)
+                if global_credential:
+                    credentials = global_credential
+                logic = LLMLogic(
+                    api_key=credentials.api_key,
+                    api_endpoint=credentials.api_endpoint,
+                    api_model=credentials.api_tool_model,
+                )
+                history = await global_message_runtime.update_session(
+                    session_id=task.receiver.uid,
+                ).read(lines=3)
+                logger.debug(f"Read History:{history}")
+                continue_ = await logic.llm_continue(
+                    context=f"History:{history},ToolCallResult:{run_status}",
+                    condition="Would you like to continue a chat?",
+                    default=False,
+                )
+                if continue_.continue_it:
+                    logger.debug(
+                        "ToolCall run out, resign a new request to request stop sign."
+                    )
+                    await create_child_snapshot(
+                        task=task,
+                        memory_able=True,
+                        channel=task.receiver.platform,
+                    )
+                    # 运行函数, 传递模型的信息，以及上一条的结果的openai raw信息
+                    await Task.create_and_send(
+                        queue_name=task.receiver.platform,
+                        task=TaskHeader(
+                            sender=task.sender,
+                            receiver=task.receiver,
+                            task_sign=task.task_sign.notify(
+                                plugin_name=__receiver__,
+                                response_snapshot=True,
+                                memory_able=False,
+                            ),
+                            message=[
+                                EventMessage(
+                                    user_id=task.receiver.user_id,
+                                    chat_id=task.receiver.chat_id,
+                                    text=continue_.comment_to_user,
+                                )
+                            ],
+                        ),
+                    )
+                else:
+                    if continue_.comment_to_user:
+                        await reply_user(
+                            platform=task.receiver.platform,
+                            receiver=task.receiver,
+                            task=task,
+                            text=continue_.comment_to_user,
+                        )
+        return run_status
 
     async def process_function_call(self, message: AbstractIncomingMessage):
         """
@@ -307,9 +359,6 @@ 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:

app/receiver/receiver_client.py

@@ -17,8 +17,8 @@
 from loguru import logger
 from telebot import formatting
 
-from app.components.credential import Credential, global_credential
-from app.components.user_manager import USER_MANAGER
+from app.components import read_user_credential
+from app.components.credential import global_credential
 from app.middleware.llm_task import OpenaiMiddleware
 from llmkira.kv_manager.env import EnvManager
 from llmkira.openai import OpenaiError
@@ -48,11 +48,6 @@ async def get(self, user_id):
 user_locks = UserLocks()
 
 
-async def read_user_credential(user_id: str) -> Optional[Credential]:
-    user = await USER_MANAGER.read(user_id=user_id)
-    return user.credential
-
-
 async def generate_authorization(
     secrets: Dict, tool_invocation: ToolCall
 ) -> Tuple[dict, list, bool]:

app/sender/discord/__init__.py

@@ -30,7 +30,13 @@
 __sender__ = "discord_hikari"
 __default_disable_tool_action__ = False
 
-from ..util_func import auth_reloader, is_command, is_empty_command, uid_make, login
+from ..util_func import (
+    auth_reloader,
+    is_command,
+    is_empty_command,
+    uid_make,
+    save_credential,
+)
 from llmkira.openapi.trigger import get_trigger_loop
 from ...components.credential import Credential, ProviderError
 
@@ -238,7 +244,7 @@ async def listen_login_url_command(
                 credential = Credential.from_provider(
                     token=token, provider_url=provider_url
                 )
-                await login(
+                await save_credential(
                     uid=uid_make(__sender__, ctx.user.id),
                     credential=credential,
                 )
@@ -264,17 +270,19 @@ async def listen_login_url_command(
         )
         async def listen_endpoint_command(
             ctx: crescent.Context,
-            openai_endpoint: str,
-            openai_key: str,
-            openai_model: str,
+            api_endpoint: str,
+            api_key: str,
+            api_model: str,
+            api_tool_model: str = "gpt-3.5-turbo",
         ):
             try:
                 credential = Credential(
-                    api_endpoint=openai_endpoint,
-                    api_key=openai_key,
-                    api_model=openai_model,
+                    api_endpoint=api_endpoint,
+                    api_key=api_key,
+                    api_model=api_model,
+                    api_tool_model=api_tool_model,
                 )
-                await login(
+                await save_credential(
                     uid=uid_make(__sender__, ctx.user.id),
                     credential=credential,
                 )

app/sender/kook/__init__.py

@@ -27,7 +27,13 @@
 __sender__ = "kook"
 __default_disable_tool_action__ = False
 
-from ..util_func import auth_reloader, is_command, is_empty_command, uid_make, login
+from ..util_func import (
+    auth_reloader,
+    is_command,
+    is_empty_command,
+    uid_make,
+    save_credential,
+)
 from llmkira.openapi.trigger import get_trigger_loop
 from ...components.credential import ProviderError, Credential
 
@@ -244,7 +250,7 @@ async def listen_login_url_command(
                 credential = Credential.from_provider(
                     token=token, provider_url=provider_url
                 )
-                await login(
+                await save_credential(
                     uid=uid_make(__sender__, msg.author_id),
                     credential=credential,
                 )
@@ -272,17 +278,19 @@ async def listen_login_url_command(
         @bot.command(name="login")
         async def listen_login_command(
             msg: Message,
-            openai_endpoint: str,
-            openai_key: str,
-            openai_model: str,
+            api_endpoint: str,
+            api_key: str,
+            api_model: str = "gpt-3.5-turbo",
+            api_tool_model: str = "gpt-3.5-turbo",
         ):
             try:
                 credential = Credential(
-                    api_endpoint=openai_endpoint,
-                    api_key=openai_key,
-                    api_model=openai_model,
+                    api_endpoint=api_endpoint,
+                    api_key=api_key,
+                    api_model=api_model,
+                    api_tool_model=api_tool_model,
                 )
-                await login(
+                await save_credential(
                     uid=uid_make(__sender__, msg.author_id),
                     credential=credential,
                 )

app/sender/slack/__init__.py

@@ -39,8 +39,6 @@
 
 __sender__ = "slack"
 
-from ...components.credential import split_setting_string, Credential, ProviderError
-
 SlackTask = Task(queue=__sender__)
 __default_disable_tool_action__ = False
 __join_cache__ = {}
@@ -232,46 +230,10 @@ async def listen_login_command(ack: AsyncAck, respond: AsyncRespond, command):
             if not command.text:
                 return
             _arg = command.text
-            settings = split_setting_string(_arg)
-            if not settings:
-                return await respond(
-                    text=convert(
-                        "🔑 **Incorrect format.**\n"
-                        "You can set it via `https://api.com/v1$key$model` format, "
-                        "or you can log in via URL using `token$https://provider.com`."
-                    ),
-                )
-            if len(settings) == 2:
-                try:
-                    credential = Credential.from_provider(
-                        token=settings[0], provider_url=settings[1]
-                    )
-                except ProviderError as e:
-                    return await respond(text=f"Login failed, website return {e}")
-                except Exception as e:
-                    logger.error(f"Login failed {e}")
-                    return await respond(text=f"Login failed, because {type(e)}")
-                else:
-                    await login(
-                        uid=uid_make(__sender__, command.user_id),
-                        credential=credential,
-                    )
-                    return await respond(
-                        text="Login success as provider! Welcome master!"
-                    )
-            elif len(settings) == 3:
-                credential = Credential(
-                    api_endpoint=settings[0], api_key=settings[1], api_model=settings[2]
-                )
-                await login(
-                    uid=uid_make(__sender__, command.user_id),
-                    credential=credential,
-                )
-                return await respond(
-                    text=f"Login success as {settings[2]}! Welcome master! "
-                )
-            else:
-                return logger.trace(f"Login failed {settings}")
+            reply = await login(
+                uid=uid_make(__sender__, command.user_id), arg_string=_arg
+            )
+            return await respond(text=reply)
 
         @bot.command(command="/env")
         async def listen_env_command(ack: AsyncAck, respond: AsyncRespond, command):