OpenAIAgentsSDK/multi_agent.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import asyncio\n",
    "from openai import AsyncAzureOpenAI\n",
    "from openai import OpenAIError\n",
    "from agents import Agent, Runner, OpenAIChatCompletionsModel, set_tracing_disabled, function_tool\n",
    "\n",
    "from azure.identity import DefaultAzureCredential, get_bearer_token_provider\n",
    "\n",
    "token_provider = get_bearer_token_provider(\n",
    "    DefaultAzureCredential(), \"https://cognitiveservices.azure.com/.default\"\n",
    ")\n",
    "\n",
    "client = AsyncAzureOpenAI(\n",
    "            api_version=\"2024-08-01-preview\",\n",
    "            azure_endpoint=\"https://aihub6750316290.openai.azure.com/\",\n",
    "            azure_ad_token_provider=token_provider,  # Use DefaultAzureCredential for authentication\n",
    "\n",
    "        )\n",
    "deployment = \"gpt-4o\"\n",
    "model = OpenAIChatCompletionsModel(\n",
    "                model=deployment,\n",
    "                openai_client=client,\n",
    "            )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import List\n",
    "from pydantic import BaseModel\n",
    "from autogen_core.models import (\n",
    "    AssistantMessage,\n",
    "    ChatCompletionClient,\n",
    "    LLMMessage,\n",
    "    SystemMessage,\n",
    "    UserMessage,\n",
    "    FunctionExecutionResult\n",
    ")\n",
    "from typing import List, Literal, Optional, Union\n",
    "\n",
    "class GroupChatMessage(BaseModel):\n",
    "    body: LLMMessage\n",
    "    conversation_id: str\n",
    "\n",
    "class TransactionInfo(BaseModel):\n",
    "    body: List[LLMMessage]\n",
    "    conversation_id: str\n",
    "    class Config:\n",
    "        @staticmethod\n",
    "        def schema_extra(schema: dict, model_class: type) -> None:\n",
    "            # Remove defaults\n",
    "            if \"properties\" in schema:\n",
    "                for prop in schema[\"properties\"].values():\n",
    "                    prop.pop(\"default\", None)\n",
    "    \n",
    "\n",
    "class AccountInfo(BaseModel):\n",
    "    body: List[LLMMessage]\n",
    "    conversation_id: str\n",
    "    class Config:\n",
    "        @staticmethod\n",
    "        def schema_extra(schema: dict, model_class: type) -> None:\n",
    "            # Remove defaults\n",
    "            if \"properties\" in schema:\n",
    "                for prop in schema[\"properties\"].values():\n",
    "                    prop.pop(\"default\", None)\n",
    "\n",
    "\n",
    "class NeedMoreInfo(BaseModel):\n",
    "    body: List[LLMMessage]\n",
    "    conversation_id: str\n",
    "\n",
    "\n",
    "\n",
    "class IntermediateResult(BaseModel):\n",
    "    body: List[LLMMessage]\n",
    "    conversation_id: str \n",
    "\n",
    "TransactionAccountInfo = Union[TransactionInfo, AccountInfo, NeedMoreInfo, IntermediateResult]\n",
    "\n",
    "FinalResponderAgentMessage = Union[IntermediateResult, NeedMoreInfo]\n",
    "\n",
    "class GroupChatMessages(BaseModel):\n",
    "    body: List[LLMMessage]\n",
    "    conversation_id: str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_data_path = os.path.join(\".\", \"sample_data\")\n",
    "@function_tool\n",
    "def get_account_info(account_id: str) -> str:\n",
    "    \"\"\"Get account information for the given account ID.\"\"\"\n",
    "    try:\n",
    "        account_data_file = os.path.join(sample_data_path, f\"{account_id}.json\")\n",
    "        with open(account_data_file, \"r\") as file:\n",
    "            data = file.read()\n",
    "        return data\n",
    "    except FileNotFoundError:\n",
    "        return \"Account not found.\"\n",
    "\n",
    "@function_tool\n",
    "def get_transaction_details(account_id: str) -> str:\n",
    "    \"\"\"Get transaction details for the given account ID.\"\"\"\n",
    "    try:\n",
    "        txn_data_file = os.path.join(sample_data_path, f\"Txn_{account_id}.json\")\n",
    "        with open(txn_data_file, \"r\") as file:\n",
    "            data = file.read()\n",
    "        return data\n",
    "    except FileNotFoundError:\n",
    "        return \"Transaction details not found.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "from agents import Agent, handoff, RunContextWrapper\n",
    "\n",
    "get_account_info_agent = Agent(name=\"GetAccountInfoAgent\",\n",
    "                                  instructions=\"\"\"You are Transify Support Agent. Transify is an online payment platform.\n",
    "                                  You can provide information about the account details. \n",
    "                                  You need to know the 'account number' to provide the account details.\n",
    "                                  If the 'account number' is provided use the get_account_info tool to get the account details.\n",
    "                                  Format the response with 'Account Details:'.\n",
    "                                  If the 'account number' is not provided, ask the user to provide the 'account number'. \n",
    "                                  If the account number is already provided, don't ask for it again.\n",
    "                                  Summarize and format your response in a clear and concise manner.  \n",
    "                                  Do not provide unnecessary information.\n",
    "\n",
    "                                  Response Format as table:\n",
    "                                    Account Balance: date | Balance Amount | account id\n",
    "                                  \"\"\",\n",
    "                                  tools=[get_account_info],\n",
    "                                  model=model,\n",
    "                                  #output_type=AccountInfo\n",
    "                                  )\n",
    "\n",
    "\n",
    "get_transaction_info_agent = Agent(name=\"GetTransactionDetailsAgent\",\n",
    "                                  instructions=\"\"\"You are Transify Support Agent. Transify is an online payment platform.\n",
    "                                  You can provide information about the transaction details for the account.\n",
    "                                  You need to know the 'account number' to provide the transaction details.\n",
    "                                  If the 'account number' is provided use the get_transaction_details tool to get the transaction details.\n",
    "                                  Format the response with 'Transaction Details:'.\n",
    "                                  If the 'account number' is not provided, ask the user to provide the 'account number'. \n",
    "                                  If the account number is already provided, don't ask for it again. \n",
    "                                  Summarize and format your response in a clear and concise manner.\n",
    "                                  Do not provide eunecessary information. \n",
    "\n",
    "                                  Response Format as table:\n",
    "                                    Transaction: date | amount | description | transaction id\n",
    "                                  \"\"\",\n",
    "                                  tools=[get_transaction_details],\n",
    "                                  model=model,\n",
    "                                  #output_type=TransactionInfo\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "triage_agent = Agent(\n",
    "    name=\"Triage agent\",\n",
    "    instructions=(\n",
    "         \"\"\"\n",
    "        You are a Transify Support Agent Manager. Transify is an online payment platform.\n",
    "        You can help users with their Transify related queries. \n",
    "        You need to respond only to queries related to Transify and nothing else. \n",
    "        If the question is not related to Transify, state that you only respond to Transify related queries and cannot answer this question.        \n",
    "        If this is Transify related question. you need to find the appropriate agent based on the question as below:\n",
    "        Agent Types:\n",
    "        \n",
    "        1. AccountInfo: If the question is about account details.\n",
    "        2. TransactionInfo: If the question is about transaction details.\n",
    "        \"\"\"\n",
    "    ),\n",
    "    model=model,\n",
    "    handoffs=[get_account_info_agent, get_transaction_info_agent],\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Could you please provide your account number so I can retrieve your latest transaction details?\n"
     ]
    }
   ],
   "source": [
    "result = await Runner.run(triage_agent, \"I want to know my latest transaction details. \")\n",
    "print(result.final_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "It seems no transaction details are found for account number **1255**. Please ensure the account number is correct or let me know if you need further assistance.\n"
     ]
    }
   ],
   "source": [
    "user_follow_input = result.to_input_list() + [{\"role\": \"user\", \"content\": \"My account number is 1255.\"}]\n",
    "result = await Runner.run(triage_agent, user_follow_input)\n",
    "print(result.final_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### Transaction Details:\n",
      "\n",
      "| Transaction       | Date                | Amount   | Description                                | Transaction ID        |\n",
      "|-------------------|---------------------|----------|--------------------------------------------|-----------------------|\n",
      "| Latest Transaction| 29th September 2024 | $75.00   | Watercolor Paint Set & Brush Set          | 9HX25435AB0123456     |\n",
      "\n",
      "Let me know if you need further details!\n"
     ]
    }
   ],
   "source": [
    "user_follow_input = result.to_input_list() + [{\"role\": \"user\", \"content\": \"My account number is A1234567890.\"}]\n",
    "result = await Runner.run(triage_agent, user_follow_input)\n",
    "print(result.final_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**Transaction Details:**\n",
      "\n",
      "| Transaction              | Date                 | Amount  | Description          | Transaction ID      |\n",
      "|--------------------------|----------------------|---------|----------------------|---------------------|\n",
      "| Latest Transaction       | 2024-09-29          | $75.00  | Watercolor Paint Set + Brush Set | 9HX25435AB0123456 |\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "result = await Runner.run(triage_agent, \"I want to know my latest transaction details. My account number is A1234567890.\")\n",
    "print(result.final_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**Account Details:**\n",
      "\n",
      "| **Account Balance:**       | Date                | Balance Amount | Account ID     |\n",
      "|-----------------------------|---------------------|----------------|----------------|\n",
      "|                            | 2024-10-09T10:20:15 | $150.00        | A1234567890    |\n"
     ]
    }
   ],
   "source": [
    "result = await Runner.run(triage_agent, \"My account number is A1234567890.\")\n",
    "print(result.final_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I only respond to Transify related queries and cannot answer this question. If you have any inquiries related to Transify, feel free to ask!\n"
     ]
    }
   ],
   "source": [
    "result = await Runner.run(triage_agent, \"Plan a 3 day road trip to zion national park.\")\n",
    "print(result.final_output)"
   ]
  }
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