diff --git a/week2/community-contributions/day4_with_booking_and_multiple_tools_per_message.ipynb b/week2/community-contributions/day4_with_booking_and_multiple_tools_per_message.ipynb
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@@ -0,0 +1,749 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "ddfa9ae6-69fe-444a-b994-8c4c5970a7ec",
+ "metadata": {},
+ "source": [
+ "# Project - Airline AI Assistant\n",
+ "\n",
+ "We'll now bring together what we've learned to make an AI Customer Support assistant for an Airline"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "8b50bbe2-c0b1-49c3-9a5c-1ba7efa2bcb4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# imports\n",
+ "\n",
+ "import os\n",
+ "import json\n",
+ "from dotenv import load_dotenv\n",
+ "from openai import OpenAI\n",
+ "import gradio as gr\n",
+ "from IPython.display import display, JSON"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "747e8786-9da8-4342-b6c9-f5f69c2e22ae",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "OpenAI API Key exists and begins sk-proj-\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Initialization\n",
+ "\n",
+ "load_dotenv()\n",
+ "\n",
+ "openai_api_key = os.getenv('OPENAI_API_KEY')\n",
+ "if openai_api_key:\n",
+ " print(f\"OpenAI API Key exists and begins {openai_api_key[:8]}\")\n",
+ "else:\n",
+ " print(\"OpenAI API Key not set\")\n",
+ " \n",
+ "MODEL = \"gpt-4o-mini\"\n",
+ "openai = OpenAI()\n",
+ "\n",
+ "# As an alternative, if you'd like to use Ollama instead of OpenAI\n",
+ "# Check that Ollama is running for you locally (see week1/day2 exercise) then uncomment these next 2 lines\n",
+ "# MODEL = \"llama3.2\"\n",
+ "# openai = OpenAI(base_url='http://localhost:11434/v1', api_key='ollama')\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "0a521d84-d07c-49ab-a0df-d6451499ed97",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "system_message = \"You are a helpful assistant for an Airline called FlightAI. \"\n",
+ "system_message += \"Give short, courteous answers, no more than 1 sentence. \"\n",
+ "system_message += \"Always be accurate. If you don't know the answer, say so.\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "61a2a15d-b559-4844-b377-6bd5cb4949f6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7872\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# This function looks rather simpler than the one from my video, because we're taking advantage of the latest Gradio updates\n",
+ "\n",
+ "def chat(message, history):\n",
+ " messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n",
+ " response = openai.chat.completions.create(model=MODEL, messages=messages)\n",
+ " return response.choices[0].message.content\n",
+ "\n",
+ "gr.ChatInterface(fn=chat, type=\"messages\").launch()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "36bedabf-a0a7-4985-ad8e-07ed6a55a3a4",
+ "metadata": {},
+ "source": [
+ "## Tools\n",
+ "\n",
+ "Tools are an incredibly powerful feature provided by the frontier LLMs.\n",
+ "\n",
+ "With tools, you can write a function, and have the LLM call that function as part of its response.\n",
+ "\n",
+ "Sounds almost spooky.. we're giving it the power to run code on our machine?\n",
+ "\n",
+ "Well, kinda."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "0696acb1-0b05-4dc2-80d5-771be04f1fb2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Let's start by making a useful function\n",
+ "\n",
+ "ticket_prices = {\"london\": \"$799\", \"paris\": \"$899\", \"tokyo\": \"$1400\", \"berlin\": \"$499\"}\n",
+ "\n",
+ "def get_ticket_price(destination_city):\n",
+ " print(f\"Tool get_ticket_price called for {destination_city}\")\n",
+ " city = destination_city.lower()\n",
+ " return ticket_prices.get(city, \"Unknown\")\n",
+ "\n",
+ "def book_ticket(destination_city, price):\n",
+ " print(f\"Tool book_ticket for {destination_city} for {price}\")\n",
+ " list_price = get_ticket_price(destination_city)\n",
+ " if list_price != \"Unknown\":\n",
+ " list_amount = int(list_price.replace(\"$\", \"\"))\n",
+ " amount = int(price.replace(\"$\", \"\"))\n",
+ " if list_amount > amount:\n",
+ " return \"Booking Successful at a Discount!\"\n",
+ " else:\n",
+ " return \"Booking Successful\"\n",
+ " else: \n",
+ " return \"Booking Failed: reason was that no list price was found for this destination\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "80ca4e09-6287-4d3f-997d-fa6afbcf6c85",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Tool book_ticket for Berliner for $388\n",
+ "Tool get_ticket_price called for Berliner\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "'Booking Failed: reason was that no list price was found for this destination'"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "book_ticket(\"Berliner\", \"$388\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "4afceded-7178-4c05-8fa6-9f2085e6a344",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# There's a particular dictionary structure that's required to describe our function:\n",
+ "\n",
+ "price_function = {\n",
+ " \"name\": \"get_ticket_price\",\n",
+ " \"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",
+ " \"parameters\": {\n",
+ " \"type\": \"object\",\n",
+ " \"properties\": {\n",
+ " \"destination_city\": {\n",
+ " \"type\": \"string\",\n",
+ " \"description\": \"The city that the customer wants to travel to\",\n",
+ " },\n",
+ " },\n",
+ " \"required\": [\"destination_city\"],\n",
+ " \"additionalProperties\": False\n",
+ " }\n",
+ "}\n",
+ "\n",
+ "book_function = {\n",
+ " \"name\": \"book_ticket\",\n",
+ " \"description\": \"\"\"Get the success status of a function that can book a ticket using a city and a price. \n",
+ " Call this whenever you are asked to book a ticket, \n",
+ " for example when a customer asks 'Please can I book a ticket to Paris' or after you have asked \n",
+ " if they would like to book a ticket, for example, after you have supplied a ticket price. \n",
+ " If the customer negotiates and asks for a discount, use the agreed price, otherwise use the price that \n",
+ " matches the destination city. \n",
+ " It is really important that you confirm that the customer is happy to proceed with an agreed \n",
+ " booking after reading back the destination city and the agreed price.\"\"\",\n",
+ " \"parameters\": {\n",
+ " \"type\": \"object\",\n",
+ " \"properties\": {\n",
+ " \"destination_city\": {\n",
+ " \"type\": \"string\",\n",
+ " \"description\": \"The city that the customer wants to travel to\",\n",
+ " },\n",
+ " \"price\": {\n",
+ " \"type\": \"string\",\n",
+ " \"description\": \"The price that the customer has agreed to pay for the ticket\",\n",
+ " },\n",
+ " },\n",
+ " \"required\": [\"destination_city\", \"price\"],\n",
+ " \"additionalProperties\": False\n",
+ " }\n",
+ "}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "bdca8679-935f-4e7f-97e6-e71a4d4f228c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# And this is included in a list of tools:\n",
+ "\n",
+ "tools = [\n",
+ " {\"type\": \"function\", \"function\": price_function},\n",
+ " {\"type\": \"function\", \"function\": book_function}\n",
+ "]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c3d3554f-b4e3-4ce7-af6f-68faa6dd2340",
+ "metadata": {},
+ "source": [
+ "## Getting OpenAI to use our Tool\n",
+ "\n",
+ "There's some fiddly stuff to allow OpenAI \"to call our tool\"\n",
+ "\n",
+ "What we actually do is give the LLM the opportunity to inform us that it wants us to run the tool.\n",
+ "\n",
+ "Here's how the new chat function looks:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "id": "ce9b0744-9c78-408d-b9df-9f6fd9ed78cf",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def chat(message, history):\n",
+ " messages = [{\"role\": \"system\", \"content\": system_message}] + history + [{\"role\": \"user\", \"content\": message}]\n",
+ " response = openai.chat.completions.create(model=MODEL, messages=messages, tools=tools)\n",
+ " \n",
+ " display(JSON(messages))\n",
+ " display(response)\n",
+ " \n",
+ " if response.choices[0].finish_reason==\"tool_calls\":\n",
+ " message = response.choices[0].message\n",
+ " messages.append(message)\n",
+ " messages.extend(list(map(handle_tool_call, message.tool_calls)))\n",
+ " response = openai.chat.completions.create(model=MODEL, messages=messages)\n",
+ " \n",
+ " return response.choices[0].message.content"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "id": "b0992986-ea09-4912-a076-8e5603ee631f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# We have to write that function handle_tool_call:\n",
+ "\n",
+ "def handle_tool_call(tool_call):\n",
+ " function = tool_call.function.name\n",
+ " arguments = json.loads(tool_call.function.arguments)\n",
+ " match function:\n",
+ " case 'get_ticket_price':\n",
+ " city = arguments.get('destination_city')\n",
+ " price = get_ticket_price(city)\n",
+ " return {\n",
+ " \"role\": \"tool\",\n",
+ " \"content\": json.dumps({\"destination_city\": city,\"price\": price}),\n",
+ " \"tool_call_id\": tool_call.id\n",
+ " }\n",
+ " case 'book_ticket':\n",
+ " city = arguments.get('destination_city')\n",
+ " price = arguments.get('price')\n",
+ " status = book_ticket(city, price)\n",
+ " return {\n",
+ " \"role\": \"tool\",\n",
+ " \"content\": json.dumps({\"destination_city\": city,\"price\": price, \"status\": status}),\n",
+ " \"tool_call_id\": tool_call.id\n",
+ " }\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "f4be8a71-b19e-4c2f-80df-f59ff2661f14",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7873\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
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+ },
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+ "content": "tickets to london and paris for $50 each please",
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+ "Tool get_ticket_price called for London\n",
+ "Tool get_ticket_price called for Paris\n"
+ ]
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+ "content": "You are a helpful assistant for an Airline called FlightAI. Give short, courteous answers, no more than 1 sentence. Always be accurate. If you don't know the answer, say so.",
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+ "content": "Can't you book them any way pretty please?",
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+ "content": "I'm sorry, but tickets to London are $799 and to Paris are $899, which is much higher than $50.",
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+ "content": "how about you book london for $749?",
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+ "content": "You are a helpful assistant for an Airline called FlightAI. Give short, courteous answers, no more than 1 sentence. Always be accurate. If you don't know the answer, say so.",
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+ "content": "tickets to london and paris for $50 each please",
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+ },
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+ "content": "Your ticket to London has been successfully booked for $749!",
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+ "status": null,
+ "title": null
+ },
+ "options": null,
+ "role": "assistant"
+ },
+ {
+ "content": "cool, what was the discount?",
+ "role": "user"
+ }
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "application/json": {
+ "expanded": false,
+ "root": "root"
+ }
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+ "application/json": [
+ {
+ "content": "You are a helpful assistant for an Airline called FlightAI. Give short, courteous answers, no more than 1 sentence. Always be accurate. If you don't know the answer, say so.",
+ "role": "system"
+ },
+ {
+ "content": "tickets to london and paris for $50 each please",
+ "role": "user"
+ }
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "application/json": {
+ "expanded": false,
+ "root": "root"
+ }
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "ChatCompletion(id='chatcmpl-AtMUh5f9LEaGjH0FLpPdKf6jgyQsT', choices=[Choice(finish_reason='tool_calls', index=0, logprobs=None, message=ChatCompletionMessage(content=None, refusal=None, role='assistant', audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_6Ihkd1XGA10QxxlCn9uIJvqO', function=Function(arguments='{\"destination_city\": \"London\"}', name='get_ticket_price'), type='function'), ChatCompletionMessageToolCall(id='call_a9qmfQQlwU5L8pu2mvBgMMXl', function=Function(arguments='{\"destination_city\": \"Paris\"}', name='get_ticket_price'), type='function')]))], created=1737757871, model='gpt-4o-mini-2024-07-18', object='chat.completion', service_tier='default', system_fingerprint='fp_72ed7ab54c', usage=CompletionUsage(completion_tokens=49, prompt_tokens=313, total_tokens=362, completion_tokens_details=CompletionTokensDetails(accepted_prediction_tokens=0, audio_tokens=0, reasoning_tokens=0, rejected_prediction_tokens=0), prompt_tokens_details=PromptTokensDetails(audio_tokens=0, cached_tokens=0)))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Tool get_ticket_price called for London\n",
+ "Tool get_ticket_price called for Paris\n"
+ ]
+ }
+ ],
+ "source": [
+ "gr.ChatInterface(fn=chat, type=\"messages\").launch()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0bb90c5a-a6bb-471a-acfe-b24f626cdfa2",
+ "metadata": {},
+ "source": [
+ "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."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "70c4915c-6d5a-4404-8e4f-4e8f043be913",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.11"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}