{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from modules.llm_in_use import get_llm\n",
    "from langchain_ollama import ChatOllama\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "llm = get_llm()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_core.messages import AIMessage\n",
    "\n",
    "messages = [\n",
    "    (\n",
    "        \"system\",\n",
    "        \"You are a helpful assistant that translates English to French. Translate the user sentence.\",\n",
    "    ),\n",
    "    (\"human\", \"I love programming.\"),\n",
    "]\n",
    "ai_msg = llm.invoke(messages)\n",
    "ai_msg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_core.prompts import ChatPromptTemplate\n",
    "\n",
    "prompt = ChatPromptTemplate.from_messages(\n",
    "    [\n",
    "        (\n",
    "            \"system\",\n",
    "            \"You are a helpful assistant that translates {input_language} to {output_language}.\",\n",
    "        ),\n",
    "        (\"human\", \"{input}\"),\n",
    "    ]\n",
    ")\n",
    "\n",
    "chain = prompt | llm\n",
    "chain.invoke(\n",
    "    {\n",
    "        \"input_language\": \"English\",\n",
    "        \"output_language\": \"German\",\n",
    "        \"input\": \"I love programming.\",\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import List\n",
    "\n",
    "from langchain_core.tools import tool\n",
    "from langchain_ollama import ChatOllama\n",
    "\n",
    "\n",
    "@tool\n",
    "def validate_user(user_id: int, addresses: List[str]) -> bool:\n",
    "    \"\"\"Validate user using historical addresses.\n",
    "\n",
    "    Args:\n",
    "        user_id (int): the user ID.\n",
    "        addresses (List[str]): Previous addresses as a list of strings.\n",
    "    \"\"\"\n",
    "    return True\n",
    "\n",
    "\n",
    "llm = ChatOllama(\n",
    "    model=\"llama3.2\",\n",
    "    temperature=0,\n",
    "    base_url=\"http://141.211.127.171\"\n",
    ").bind_tools([validate_user])\n",
    "\n",
    "result = llm.invoke(\n",
    "    \"Could you validate user 123? They previously lived at \"\n",
    "    \"123 Fake St in Boston MA and 234 Pretend Boulevard in \"\n",
    "    \"Houston TX.\"\n",
    ")\n",
    "result.tool_calls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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