""" title: Auto-Tool v2 author: Wes Caldwell email: Musicheardworldwide@gmail.com date: 2024-07-19 version: 1.0 license: MIT description: Auto-Tool function with extras. """ from pydantic import BaseModel, Field from typing import Callable, Awaitable, Any, Optional, List, Dict import json from apps.webui.models.users import Users from apps.webui.models.tools import Tools from apps.webui.models.models import Models from main import generate_chat_completions from utils.misc import get_last_user_message class Filter: class Valves(BaseModel): template: str = Field( default="""Tools: {{TOOLS}} If a tool doesn't match the query, return an empty list []. Otherwise, return a list of matching tool IDs in the format ["tool_id"]. Select multiple tools if applicable. Only return the list. Do not return any other text. Review the entire chat history to ensure the selected tool matches the context. If unsure, default to an empty list []. Use tools conservatively.""" ) status: bool = Field(default=False) pass def __init__(self): self.valves = self.Valves() self.user_history = {} self.tool_analytics = {} self.user_feedback = {} self.models = {} pass async def inlet( self, body: dict, __event_emitter__: Callable[[Any], Awaitable[None]], __user__: Optional[dict] = None, __model__: Optional[dict] = None, ) -> dict: messages = body["messages"] user_message = get_last_user_message(messages) if self.valves.status: await __event_emitter__( { "type": "status", "data": { "description": "Finding the right tools...", "done": False, }, } ) all_tools = [ {"id": tool.id, "description": tool.meta.description} for tool in Tools.get_tools() ] available_tool_ids = ( __model__.get("info", {}).get("meta", {}).get("toolIds", []) ) available_tools = [ tool for tool in all_tools if tool["id"] in available_tool_ids ] # Tool Recommendation Based on User History user_id = __user__["id"] if user_id in self.user_history: recommended_tools = [ tool for tool in available_tools if tool["id"] in self.user_history[user_id] ] else: recommended_tools = available_tools # Dynamic Tool Filtering filtered_tools = self.filter_tools(recommended_tools, user_message) system_prompt = self.valves.template.replace("{{TOOLS}}", str(filtered_tools)) prompt = ( "History:\n" + "\n".join( [ f"{message['role'].upper()}: \"\"\"{message['content']}\"\"\"" for message in messages[::-1][:4] ] ) + f"\nQuery: {user_message}" ) payload = { "model": body["model"], "messages": [ {"role": "system", "content": system_prompt}, {"role": "user", "content": prompt}, ], "stream": False, } try: user = Users.get_user_by_id(user_id) response = await generate_chat_completions(form_data=payload, user=user) content = response["choices"][0]["message"]["content"] # Parse the function response if content is not None: print(f"content: {content}") content = content.replace("'", '"') result = json.loads(content) if isinstance(result, list) and len(result) > 0: body["tool_ids"] = result if self.valves.status: await __event_emitter__( { "type": "status", "data": { "description": f"Found matching tools: {', '.join(result)}", "done": True, }, } ) # Update Tool Usage Analytics self.update_tool_analytics(result) else: if self.valves.status: await __event_emitter__( { "type": "status", "data": { "description": "No matching tools found.", "done": True, }, } ) except Exception as e: print(e) if self.valves.status: await __event_emitter__( { "type": "status", "data": { "description": f"Error processing request: {e}", "done": True, }, } ) pass return body def filter_tools(self, tools: List[Dict], query: str) -> List[Dict]: # Implement dynamic tool filtering based on user-defined criteria filtered_tools = [] for tool in tools: if query.lower() in tool["description"].lower(): filtered_tools.append(tool) return filtered_tools def update_tool_analytics(self, tool_ids: List[str]) -> None: for tool_id in tool_ids: if tool_id in self.tool_analytics: self.tool_analytics[tool_id] += 1 else: self.tool_analytics[tool_id] = 1 def integrate_user_feedback(self, user_id: str, feedback: Dict) -> None: if user_id in self.user_feedback: self.user_feedback[user_id].append(feedback) else: self.user_feedback[user_id] = [feedback] def add_model(self, model_id: str, model_info: Dict) -> None: self.models[model_id] = model_info def get_model(self, model_id: str) -> Optional[Dict]: return self.models.get(model_id)