""" title: AutoTool Filter author: open-webui author_url: https://github.com/open-webui funding_url: https://github.com/open-webui version: 0.1.8 required_open_webui_version: 0.3.8 """ from pydantic import BaseModel, Field from typing import Callable, Awaitable, Any, Optional, Literal import json import re import requests # Adicionado 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: 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 only the list. 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() pass def buscar_titulos_mercado_livre(self, query: str) -> dict: url = "https://api.mercadolibre.com/sites/MLB/search" params = {"q": query, "limit": 50} try: response = requests.get(url, params=params) response.raise_for_status() data = response.json() titulos = [item["title"] for item in data.get("results", [])] return {"titulos": titulos} except requests.exceptions.RequestException as e: return {"error": str(e)} 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) # Chamada à função de busca no Mercado Livre busca_resultado = self.buscar_titulos_mercado_livre(user_message) if "error" in busca_resultado: if self.valves.status: await __event_emitter__( { "type": "status", "data": { "description": f"Erro na busca: {busca_resultado['error']}", "done": True, }, } ) else: titulos = busca_resultado["titulos"] print(f"Títulos encontrados: {titulos}") # Exemplo: adicionar os títulos ao body ou realizar outra lógica 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 ] system_prompt = self.valves.template.replace("", str(available_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("'", '"') pattern = r"$$.*?$$" match = re.search(pattern, content) if match: content = str(match.group(0)) 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, }, } ) 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