Browse Source
- the multiple tool fix is slightly different to another contribution, using a functional approach. - without the fix you get an error about the fact that all tool ids must follow in messages that request them. - this occurs when, for example, you ask for prices for two cities. - the booking function and prompts allow you to book at a different price if you ask explicitly. - this can be fun if you start asking about the discount applied.pull/117/head
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{ |
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"cells": [ |
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{ |
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"cell_type": "markdown", |
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"id": "ddfa9ae6-69fe-444a-b994-8c4c5970a7ec", |
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"metadata": {}, |
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"source": [ |
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"# Project - Airline AI Assistant\n", |
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"\n", |
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"We'll now bring together what we've learned to make an AI Customer Support assistant for an Airline" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "8b50bbe2-c0b1-49c3-9a5c-1ba7efa2bcb4", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# imports\n", |
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"\n", |
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"import os\n", |
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"import json\n", |
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"from dotenv import load_dotenv\n", |
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"from openai import OpenAI\n", |
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"import gradio as gr\n", |
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"from IPython.display import display, JSON" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "747e8786-9da8-4342-b6c9-f5f69c2e22ae", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Initialization\n", |
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"\n", |
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"load_dotenv()\n", |
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"\n", |
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"openai_api_key = os.getenv('OPENAI_API_KEY')\n", |
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"if openai_api_key:\n", |
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" print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n", |
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"else:\n", |
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" print(\"OpenAI API Key not set\")\n", |
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" \n", |
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"MODEL = \"gpt-4o-mini\"\n", |
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"openai = OpenAI()\n", |
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"\n", |
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"# As an alternative, if you'd like to use Ollama instead of OpenAI\n", |
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"# Check that Ollama is running for you locally (see week1/day2 exercise) then uncomment these next 2 lines\n", |
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"# MODEL = \"llama3.2\"\n", |
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"# openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "0a521d84-d07c-49ab-a0df-d6451499ed97", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"system_message = \"You are a helpful assistant for an Airline called FlightAI. \"\n", |
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"system_message += \"Give short, courteous answers, no more than 1 sentence. \"\n", |
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"system_message += \"Always be accurate. If you don't know the answer, say so.\"" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "61a2a15d-b559-4844-b377-6bd5cb4949f6", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# This function looks rather simpler than the one from my video, because we're taking advantage of the latest Gradio updates\n", |
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"\n", |
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"def chat(message, history):\n", |
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" messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n", |
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" response = openai.chat.completions.create(model=MODEL, messages=messages)\n", |
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" return response.choices[0].message.content\n", |
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"\n", |
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"gr.ChatInterface(fn=chat, type=\"messages\").launch()" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"id": "36bedabf-a0a7-4985-ad8e-07ed6a55a3a4", |
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"metadata": {}, |
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"source": [ |
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"## Tools\n", |
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"\n", |
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"Tools are an incredibly powerful feature provided by the frontier LLMs.\n", |
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"\n", |
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"With tools, you can write a function, and have the LLM call that function as part of its response.\n", |
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"\n", |
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"Sounds almost spooky.. we're giving it the power to run code on our machine?\n", |
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"\n", |
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"Well, kinda." |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "0696acb1-0b05-4dc2-80d5-771be04f1fb2", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Let's start by making a useful function\n", |
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"\n", |
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"ticket_prices = {\"london\": \"$799\", \"paris\": \"$899\", \"tokyo\": \"$1400\", \"berlin\": \"$499\"}\n", |
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"\n", |
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"def get_ticket_price(destination_city):\n", |
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" print(f\"Tool get_ticket_price called for {destination_city}\")\n", |
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" city = destination_city.lower()\n", |
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" return ticket_prices.get(city, \"Unknown\")\n", |
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"\n", |
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"def book_ticket(destination_city, price):\n", |
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" print(f\"Tool book_ticket for {destination_city} for {price}\")\n", |
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" list_price = get_ticket_price(destination_city)\n", |
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" if list_price != \"Unknown\":\n", |
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" list_amount = int(list_price.replace(\"$\", \"\"))\n", |
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" amount = int(price.replace(\"$\", \"\"))\n", |
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" if list_amount > amount:\n", |
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" return \"Booking Successful at a Discount!\"\n", |
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" else:\n", |
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" return \"Booking Successful\"\n", |
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" else: \n", |
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" return \"Booking Failed: reason was that no list price was found for this destination\"" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "80ca4e09-6287-4d3f-997d-fa6afbcf6c85", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"book_ticket(\"Berliner\", \"$388\")" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "4afceded-7178-4c05-8fa6-9f2085e6a344", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# There's a particular dictionary structure that's required to describe our function:\n", |
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"\n", |
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"price_function = {\n", |
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" \"name\": \"get_ticket_price\",\n", |
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" \"description\": \"Get the price of a return ticket to the destination city. Call this whenever you need to know the ticket price, for example when a customer asks 'How much is a ticket to this city'\",\n", |
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" \"parameters\": {\n", |
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" \"type\": \"object\",\n", |
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" \"properties\": {\n", |
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" \"destination_city\": {\n", |
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" \"type\": \"string\",\n", |
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" \"description\": \"The city that the customer wants to travel to\",\n", |
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" },\n", |
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" },\n", |
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" \"required\": [\"destination_city\"],\n", |
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" \"additionalProperties\": False\n", |
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" }\n", |
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"}\n", |
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"\n", |
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"book_function = {\n", |
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" \"name\": \"book_ticket\",\n", |
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" \"description\": \"\"\"Get the success status of a function that can book a ticket using a city and a price. \n", |
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" Call this whenever you are asked to book a ticket, \n", |
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" for example when a customer asks 'Please can I book a ticket to Paris' or after you have asked \n", |
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" if they would like to book a ticket, for example, after you have supplied a ticket price. \n", |
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" If the customer negotiates and asks for a discount, use the agreed price, otherwise use the price that \n", |
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" matches the destination city. \n", |
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" It is really important that you confirm that the customer is happy to proceed with an agreed \n", |
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" booking after reading back the destination city and the agreed price.\"\"\",\n", |
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" \"parameters\": {\n", |
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" \"type\": \"object\",\n", |
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" \"properties\": {\n", |
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" \"destination_city\": {\n", |
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" \"type\": \"string\",\n", |
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" \"description\": \"The city that the customer wants to travel to\",\n", |
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" },\n", |
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" \"price\": {\n", |
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" \"type\": \"string\",\n", |
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" \"description\": \"The price that the customer has agreed to pay for the ticket\",\n", |
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" },\n", |
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" },\n", |
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" \"required\": [\"destination_city\", \"price\"],\n", |
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" \"additionalProperties\": False\n", |
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" }\n", |
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"}" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "bdca8679-935f-4e7f-97e6-e71a4d4f228c", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# And this is included in a list of tools:\n", |
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"\n", |
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"tools = [\n", |
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" {\"type\": \"function\", \"function\": price_function},\n", |
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" {\"type\": \"function\", \"function\": book_function}\n", |
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"]" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"id": "c3d3554f-b4e3-4ce7-af6f-68faa6dd2340", |
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"metadata": {}, |
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"source": [ |
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"## Getting OpenAI to use our Tool\n", |
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"\n", |
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"There's some fiddly stuff to allow OpenAI \"to call our tool\"\n", |
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"\n", |
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"What we actually do is give the LLM the opportunity to inform us that it wants us to run the tool.\n", |
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"\n", |
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"Here's how the new chat function looks:" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "ce9b0744-9c78-408d-b9df-9f6fd9ed78cf", |
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|
"metadata": {}, |
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|
"outputs": [], |
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|
"source": [ |
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"def chat(message, history):\n", |
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" messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n", |
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" response = openai.chat.completions.create(model=MODEL, messages=messages, tools=tools)\n", |
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" \n", |
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" display(JSON(messages))\n", |
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" display(response)\n", |
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" \n", |
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" if response.choices[0].finish_reason==\"tool_calls\":\n", |
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" message = response.choices[0].message\n", |
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" messages.append(message)\n", |
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" for tool_call in message.tool_calls:\n", |
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" response = handle_tool_call(tool_call)\n", |
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" messages.append(response)\n", |
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" response = openai.chat.completions.create(model=MODEL, messages=messages)\n", |
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" \n", |
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" return response.choices[0].message.content" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "b0992986-ea09-4912-a076-8e5603ee631f", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# We have to write that function handle_tool_call:\n", |
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"\n", |
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"def handle_tool_call(tool_call):\n", |
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" function = tool_call.function.name\n", |
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" arguments = json.loads(tool_call.function.arguments)\n", |
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" match function:\n", |
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" case 'get_ticket_price':\n", |
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" city = arguments.get('destination_city')\n", |
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" price = get_ticket_price(city)\n", |
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" return {\n", |
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" \"role\": \"tool\",\n", |
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" \"content\": json.dumps({\"destination_city\": city,\"price\": price}),\n", |
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" \"tool_call_id\": tool_call.id\n", |
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" }\n", |
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" case 'book_ticket':\n", |
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" city = arguments.get('destination_city')\n", |
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" price = arguments.get('price')\n", |
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" status = book_ticket(city, price)\n", |
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" return {\n", |
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" \"role\": \"tool\",\n", |
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" \"content\": json.dumps({\"destination_city\": city,\"price\": price, \"status\": status}),\n", |
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" \"tool_call_id\": tool_call.id\n", |
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" }\n", |
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" " |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "f4be8a71-b19e-4c2f-80df-f59ff2661f14", |
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"metadata": { |
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"scrolled": true |
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}, |
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"outputs": [], |
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"source": [ |
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"gr.ChatInterface(fn=chat, type=\"messages\").launch()" |
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] |
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}, |
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{ |
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"cell_type": "markdown", |
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"id": "0bb90c5a-a6bb-471a-acfe-b24f626cdfa2", |
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"metadata": {}, |
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"source": [ |
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"It can be really fun to book at a different price. Sometimes the LLM can correctly tell you the amount of money you saved. This could easily be expanded to haggle with a lower limit." |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "70c4915c-6d5a-4404-8e4f-4e8f043be913", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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], |
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"metadata": { |
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"kernelspec": { |
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"display_name": "Python 3 (ipykernel)", |
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"language": "python", |
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"name": "python3" |
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}, |
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"language_info": { |
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"codemirror_mode": { |
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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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"name": "python", |
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"nbconvert_exporter": "python", |
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"pygments_lexer": "ipython3", |
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"version": "3.11.11" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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} |
Loading…
Reference in new issue