courses/anthropic_api_fundamentals/02_messages_format.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with messages"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lesson goals\n",
    "- Understand the messages API format\n",
    "- Work wit and understand model response objects\n",
    "- Build a simple multi-turn chatbot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic setup\n",
    "We'll start by importing the packages we need and initializing a client object.\n",
    "See the previous tutorial for details on how to get an API key and properly store it.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dotenv import load_dotenv\n",
    "from anthropic import Anthropic\n",
    "\n",
    "#load environment variable\n",
    "load_dotenv()\n",
    "\n",
    "#automatically looks for an \"ANTHROPIC_API_KEY\" environment variable\n",
    "client = Anthropic()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Messages format\n",
    "\n",
    "As we saw in the previous lesson, we can use `client.messages.create()` to send a message to Claude and get a response:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Message(id='msg_013wVsHLHRjuDM2WgvVJ8RNm', content=[ContentBlock(text='The exact flavor formula for Dr Pepper is a closely guarded trade secret, but here are some of the main flavors that are believed to be used:\\n\\n- Cherry - This is one of the most prominent flavors in Dr Pepper. The cherry flavor comes from the use of a type of cherry extract.\\n\\n- Prune - Dr Pepper contains a prune-like flavor which contributes to its unique profile.\\n\\n- Vanilla - Vanilla is another key component that helps round out the flavor.\\n\\n- Spices - Various spices like cinnamon, prune, and other aromatics are believed to be part of the blend.\\n\\n- Citrus - Flavors like orange, lemon, and prune add some citrus notes.\\n\\nThe exact combination of these and other secret ingredients is what gives Dr Pepper its signature taste that differentiates it from other cola or soda flavors. The complex blend of sweet, spicy, and tart notes is part of what makes Dr Pepper a unique and iconic soft drink flavor.', type='text')], model='claude-3-haiku-20240307', role='assistant', stop_reason='end_turn', stop_sequence=None, type='message', usage=Usage(input_tokens=18, output_tokens=225))\n"
     ]
    }
   ],
   "source": [
    "response = client.messages.create(\n",
    "    model=\"claude-3-haiku-20240307\",\n",
    "    max_tokens=1000,\n",
    "    messages=[\n",
    "        {\"role\": \"user\", \"content\": \"What flavors are used in Dr. Pepper?\"}\n",
    "    ]\n",
    ")\n",
    "\n",
    "print(response)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a closer look at this bit: \n",
    "```py\n",
    "messages=[\n",
    "        {\"role\": \"user\", \"content\": \"What flavors are used in Dr. Pepper?\"}\n",
    "    ]\n",
    "```"
   ]
  },
  {
   "attachments": {
    "alternating_messages.png": {
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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The messages parameter is a crucial part of interacting with the Claude API. It allows you to provide the conversation history and context for Claude to generate a relevant response. \n",
    "\n",
    "The messages parameter expects a list of message dictionaries, where each dictionary represents a single message in the conversation.\n",
    "Each message dictionary should have the following keys:\n",
    "\n",
    "* `role`: A string indicating the role of the message sender. It can be either \"user\" (for messages sent by the user) or \"assistant\" (for messages sent by Claude).\n",
    "* `content`: A string or list of content dictionaries representing the actual content of the message. If a string is provided, it will be treated as a single text content block. If a list of content dictionaries is provided, each dictionary should have a \"type\" (e.g., \"text\" or \"image\") and the corresponding content.  For now, we'll leave `content` as a single string.\n",
    "\n",
    "Here's an example of a messages list with a single user message:\n",
    "\n",
    "```py\n",
    "messages = [\n",
    "    {\"role\": \"user\", \"content\": \"Hello Claude! How are you today?\"}\n",
    "]\n",
    "```\n",
    "\n",
    "And here's an example with multiple messages representing a conversation:\n",
    "\n",
    "```py\n",
    "messages = [\n",
    "    {\"role\": \"user\", \"content\": \"Hello Claude! How are you today?\"},\n",
    "    {\"role\": \"assistant\", \"content\": \"Hello! I'm doing well, thank you. How can I assist you today?\"},\n",
    "    {\"role\": \"user\", \"content\": \"Can you tell me a fun fact about ferrets?\"},\n",
    "    {\"role\": \"assistant\", \"content\": \"Sure! Did you know that excited ferrets make a clucking vocalization known as 'dooking'?\"},\n",
    "]\n",
    "```\n",
    "\n",
    "Remember that messages always alternate between user and assistant messages.\n",
    "\n",
    "![alternating_messages.png](attachment:alternating_messages.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The messages format allows us to structure our API calls to Claude in the form of a conversation, allowing for **context preservation**: The messages format allows for maintaining an entire conversation history, including both user and assistant messages. This ensures that Claude has access to the full context of the conversation when generating responses, leading to more coherent and relevant outputs.  \n",
    "\n",
    "**Note: many use-cases don't require a conversation history, and there's nothing wrong with providing a list of messages that only contains a single message!** "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "\n",
    "## Quiz\n",
    "\n",
    "What are the two required keys in each message? \n",
    "\n",
    "* **a)** \"sender\" and \"text\"\n",
    "* **b)** \"role\" and \"content\"\n",
    "* **c)** \"user\" and \"assistant\"\n",
    "* **d)** \"input\" and \"output\"\n",
    "\n",
    "<details>\n",
    "  <summary>View quiz answer</summary>\n",
    "  \n",
    "  **The correct answer is b.  Every message should have a \"role\" and \"content\"**\n",
    "\n",
    "</details>\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "\n",
    "## Inspecting the message response\n",
    "Next, let's take a look at the shape of the response we get back from Claude. \n",
    "\n",
    "Let's ask Claude to do something simple:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "response = client.messages.create(\n",
    "    model=\"claude-3-haiku-20240307\",\n",
    "    max_tokens=1000,\n",
    "    messages=[\n",
    "        {\"role\": \"user\", \"content\": \"Translate hello to French. Respond with a single word\"}\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's inspect the contents of the `response` that we get back:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Message(id='msg_01SuDqJSTJaRpkDmHGrbfxCt', content=[ContentBlock(text='Bonjour.', type='text')], model='claude-3-haiku-20240307', role='assistant', stop_reason='end_turn', stop_sequence=None, type='message', usage=Usage(input_tokens=19, output_tokens=8))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response"
   ]
  },
  {
   "attachments": {
    "message_content.png": {
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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get back a `Message` object that contains a handful of properties.  Here's an example:\n",
    "\n",
    "```\n",
    "Message(id='msg_01Mq5gDnUmDESukTgwPV8xtG', content=[TextBlock(text='Bonjour.', type='text')], model='claude-3-haiku-20240307', role='assistant', stop_reason='end_turn', stop_sequence=None, type='message', usage=Usage(input_tokens=19, output_tokens=8))\n",
    "```\n",
    "\n",
    " The most important piece of information is the `content` property: this contains the actual content the model generated for us.   This is a **list** of content blocks, each of which has a type that determines its shape.\n",
    "\n",
    " ![message_content.png](attachment:message_content.png)\n",
    "\n",
    " In order to access the actual text content of the model's response, we need to do the following:\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bonjour.\n"
     ]
    }
   ],
   "source": [
    "print(response.content[0].text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In addition to `content`, the `Message` object contains some other pieces of information:\n",
    "\n",
    "* `id` - a unique object identifier\n",
    "* `type` - The object type, which will always be \"message\"\n",
    "* `role` - The conversational role of the generated message. This will always be \"assistant\".\n",
    "* `model` - The model that handled the request and generated the response\n",
    "* `stop_reason` - The reason the model stopped generating.  We'll learn more about this later.\n",
    "* `stop_sequence` - We'll learn more about this shortly.\n",
    "* `usage` - information on billing and rate-limit usage. Contains information on:\n",
    "    * `input_tokens` - The number of input tokens that were used.\n",
    "    * `output_tokens` - The number of output tokens that were used.\n",
    "\n",
    "It's important to know that we have access to these pieces of information, but if you only remember one thing, make it this: `content` contains the actual model-generated content"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "## Exercise \n",
    "\n",
    "Write a function called translate that expects two arguments: \n",
    "* A word\n",
    "* A language\n",
    "\n",
    "When you call the `translate` function, it should return the result of asking Claude to translate `word` into `language`.  For example:\n",
    "\n",
    "```py\n",
    "translate(\"hello\", \"Spanish\")\n",
    "# 'The word \"hello\" translated into Spanish is: Hola'\n",
    "\n",
    "translate(\"chicken\", \"Italian\")\n",
    "# 'The Italian word for \"chicken\" is: pollo'\n",
    "```\n",
    "\n",
    "Bonus points if you can write a prompt so that Claude only responds with the translated word and no preamble, like this: \n",
    "\n",
    "```py\n",
    "translate(\"chicken\", \"Italian\")\n",
    "# 'pollo'\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details>\n",
    "  <summary>View exercise solution</summary>\n",
    "  \n",
    "  Here's one possible solution:\n",
    "  \n",
    "  ```py\n",
    "  def translate(word, language):\n",
    "    response = client.messages.create(\n",
    "        model=\"claude-3-opus-20240229\",\n",
    "        max_tokens=1000,\n",
    "        messages=[\n",
    "            {\"role\": \"user\", \"content\": f\"Translate the word {word} into {language}.  Only respond with the translated word, nothing else\"}\n",
    "        ]\n",
    "    )\n",
    "    return response.content[0].text \n",
    "  ```\n",
    "\n",
    "</details>\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "\n",
    "## Message list mistakes\n",
    "\n",
    "### Mistake #1: starting with an assistant message"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When you're starting out, it's easy to make mistakes when working with the `messages` list.  The list of messages must start with a `user` message.  The following code generates an error because the messages list starts with an assistant message:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "ename": "BadRequestError",
     "evalue": "Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'messages: first message must use the \"user\" role'}}",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mBadRequestError\u001b[0m                           Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mclaude-3-haiku-20240307\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1000\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      4\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m        \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43massistant\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mTranslate hello to French. Respond with a single word\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[43m    \u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[38;5;28mprint\u001b[39m(response\u001b[38;5;241m.\u001b[39mcontent[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mtext)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/_utils/_utils.py:277\u001b[0m, in \u001b[0;36mrequired_args.<locals>.inner.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    275\u001b[0m             msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[38;5;241m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    276\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[0;32m--> 277\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/resources/messages.py:681\u001b[0m, in \u001b[0;36mMessages.create\u001b[0;34m(self, max_tokens, messages, model, metadata, stop_sequences, stream, system, temperature, top_k, top_p, extra_headers, extra_query, extra_body, timeout)\u001b[0m\n\u001b[1;32m    650\u001b[0m \u001b[38;5;129m@required_args\u001b[39m([\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmax_tokens\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m], [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmax_tokens\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstream\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m    651\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcreate\u001b[39m(\n\u001b[1;32m    652\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    679\u001b[0m     timeout: \u001b[38;5;28mfloat\u001b[39m \u001b[38;5;241m|\u001b[39m httpx\u001b[38;5;241m.\u001b[39mTimeout \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m|\u001b[39m NotGiven \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m600\u001b[39m,\n\u001b[1;32m    680\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Message \u001b[38;5;241m|\u001b[39m Stream[MessageStreamEvent]:\n\u001b[0;32m--> 681\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    682\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/v1/messages\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    683\u001b[0m \u001b[43m        \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    684\u001b[0m \u001b[43m            \u001b[49m\u001b[43m{\u001b[49m\n\u001b[1;32m    685\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmax_tokens\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    686\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmessages\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    687\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    688\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmetadata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    689\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstop_sequences\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop_sequences\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    690\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstream\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    691\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msystem\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43msystem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    692\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtemperature\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtemperature\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    693\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtop_k\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_k\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    694\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtop_p\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_p\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    695\u001b[0m \u001b[43m            \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    696\u001b[0m \u001b[43m            \u001b[49m\u001b[43mmessage_create_params\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mMessageCreateParams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    697\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    698\u001b[0m \u001b[43m        \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    699\u001b[0m \u001b[43m            \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\n\u001b[1;32m    700\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    701\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mMessage\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    702\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    703\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mMessageStreamEvent\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    704\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/_base_client.py:1232\u001b[0m, in \u001b[0;36mSyncAPIClient.post\u001b[0;34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[0m\n\u001b[1;32m   1218\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpost\u001b[39m(\n\u001b[1;32m   1219\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m   1220\u001b[0m     path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1227\u001b[0m     stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m   1228\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ResponseT \u001b[38;5;241m|\u001b[39m _StreamT:\n\u001b[1;32m   1229\u001b[0m     opts \u001b[38;5;241m=\u001b[39m FinalRequestOptions\u001b[38;5;241m.\u001b[39mconstruct(\n\u001b[1;32m   1230\u001b[0m         method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpost\u001b[39m\u001b[38;5;124m\"\u001b[39m, url\u001b[38;5;241m=\u001b[39mpath, json_data\u001b[38;5;241m=\u001b[39mbody, files\u001b[38;5;241m=\u001b[39mto_httpx_files(files), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions\n\u001b[1;32m   1231\u001b[0m     )\n\u001b[0;32m-> 1232\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/_base_client.py:921\u001b[0m, in \u001b[0;36mSyncAPIClient.request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m    912\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrequest\u001b[39m(\n\u001b[1;32m    913\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m    914\u001b[0m     cast_to: Type[ResponseT],\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    919\u001b[0m     stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    920\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ResponseT \u001b[38;5;241m|\u001b[39m _StreamT:\n\u001b[0;32m--> 921\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    922\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    923\u001b[0m \u001b[43m        \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    924\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    925\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    926\u001b[0m \u001b[43m        \u001b[49m\u001b[43mremaining_retries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mremaining_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    927\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/_base_client.py:1012\u001b[0m, in \u001b[0;36mSyncAPIClient._request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m   1009\u001b[0m         err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mread()\n\u001b[1;32m   1011\u001b[0m     log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRe-raising status error\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1012\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_status_error_from_response(err\u001b[38;5;241m.\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1014\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_process_response(\n\u001b[1;32m   1015\u001b[0m     cast_to\u001b[38;5;241m=\u001b[39mcast_to,\n\u001b[1;32m   1016\u001b[0m     options\u001b[38;5;241m=\u001b[39moptions,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1019\u001b[0m     stream_cls\u001b[38;5;241m=\u001b[39mstream_cls,\n\u001b[1;32m   1020\u001b[0m )\n",
      "\u001b[0;31mBadRequestError\u001b[0m: Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'messages: first message must use the \"user\" role'}}"
     ]
    }
   ],
   "source": [
    "response = client.messages.create(\n",
    "    model=\"claude-3-haiku-20240307\",\n",
    "    max_tokens=1000,\n",
    "    messages=[\n",
    "        {\"role\": \"assistant\", \"content\": \"Hello there!\"}\n",
    "    ]\n",
    ")\n",
    "print(response.content[0].text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mistake #2: improperly alternating messages\n",
    "\n",
    "Messages must alternate between `user` and `assistant`, and we'll get an error if we don't follow this rule:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "ename": "BadRequestError",
     "evalue": "Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'messages: roles must alternate between \"user\" and \"assistant\", but found multiple \"assistant\" roles in a row'}}",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mBadRequestError\u001b[0m                           Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[12], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m response \u001b[38;5;241m=\u001b[39m \u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mclaude-3-haiku-20240307\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1000\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      4\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m        \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43muser\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mHey there!\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[43m        \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43massistant\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mHi there!\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[43m        \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43massistant\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mHow can I help you??\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\n\u001b[1;32m      8\u001b[0m \u001b[43m    \u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m      9\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m     10\u001b[0m \u001b[38;5;28mprint\u001b[39m(response\u001b[38;5;241m.\u001b[39mcontent[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mtext)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/_utils/_utils.py:277\u001b[0m, in \u001b[0;36mrequired_args.<locals>.inner.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    275\u001b[0m             msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[38;5;241m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    276\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[0;32m--> 277\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/resources/messages.py:681\u001b[0m, in \u001b[0;36mMessages.create\u001b[0;34m(self, max_tokens, messages, model, metadata, stop_sequences, stream, system, temperature, top_k, top_p, extra_headers, extra_query, extra_body, timeout)\u001b[0m\n\u001b[1;32m    650\u001b[0m \u001b[38;5;129m@required_args\u001b[39m([\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmax_tokens\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m], [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmax_tokens\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessages\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmodel\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstream\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m    651\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcreate\u001b[39m(\n\u001b[1;32m    652\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    679\u001b[0m     timeout: \u001b[38;5;28mfloat\u001b[39m \u001b[38;5;241m|\u001b[39m httpx\u001b[38;5;241m.\u001b[39mTimeout \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m|\u001b[39m NotGiven \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m600\u001b[39m,\n\u001b[1;32m    680\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Message \u001b[38;5;241m|\u001b[39m Stream[MessageStreamEvent]:\n\u001b[0;32m--> 681\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    682\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/v1/messages\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    683\u001b[0m \u001b[43m        \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    684\u001b[0m \u001b[43m            \u001b[49m\u001b[43m{\u001b[49m\n\u001b[1;32m    685\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmax_tokens\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    686\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmessages\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    687\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    688\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmetadata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    689\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstop_sequences\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop_sequences\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    690\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstream\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    691\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msystem\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43msystem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    692\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtemperature\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtemperature\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    693\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtop_k\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_k\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    694\u001b[0m \u001b[43m                \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtop_p\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mtop_p\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    695\u001b[0m \u001b[43m            \u001b[49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    696\u001b[0m \u001b[43m            \u001b[49m\u001b[43mmessage_create_params\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mMessageCreateParams\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    697\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    698\u001b[0m \u001b[43m        \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmake_request_options\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    699\u001b[0m \u001b[43m            \u001b[49m\u001b[43mextra_headers\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_headers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_query\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_query\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mextra_body\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mextra_body\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtimeout\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtimeout\u001b[49m\n\u001b[1;32m    700\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    701\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mMessage\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    702\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    703\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mStream\u001b[49m\u001b[43m[\u001b[49m\u001b[43mMessageStreamEvent\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    704\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/_base_client.py:1232\u001b[0m, in \u001b[0;36mSyncAPIClient.post\u001b[0;34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[0m\n\u001b[1;32m   1218\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpost\u001b[39m(\n\u001b[1;32m   1219\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m   1220\u001b[0m     path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1227\u001b[0m     stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m   1228\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ResponseT \u001b[38;5;241m|\u001b[39m _StreamT:\n\u001b[1;32m   1229\u001b[0m     opts \u001b[38;5;241m=\u001b[39m FinalRequestOptions\u001b[38;5;241m.\u001b[39mconstruct(\n\u001b[1;32m   1230\u001b[0m         method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpost\u001b[39m\u001b[38;5;124m\"\u001b[39m, url\u001b[38;5;241m=\u001b[39mpath, json_data\u001b[38;5;241m=\u001b[39mbody, files\u001b[38;5;241m=\u001b[39mto_httpx_files(files), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions\n\u001b[1;32m   1231\u001b[0m     )\n\u001b[0;32m-> 1232\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/_base_client.py:921\u001b[0m, in \u001b[0;36mSyncAPIClient.request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m    912\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrequest\u001b[39m(\n\u001b[1;32m    913\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m    914\u001b[0m     cast_to: Type[ResponseT],\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    919\u001b[0m     stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    920\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ResponseT \u001b[38;5;241m|\u001b[39m _StreamT:\n\u001b[0;32m--> 921\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    922\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    923\u001b[0m \u001b[43m        \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    924\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    925\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    926\u001b[0m \u001b[43m        \u001b[49m\u001b[43mremaining_retries\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mremaining_retries\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    927\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/miniforge/base/envs/py311/lib/python3.11/site-packages/anthropic/_base_client.py:1012\u001b[0m, in \u001b[0;36mSyncAPIClient._request\u001b[0;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[1;32m   1009\u001b[0m         err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mread()\n\u001b[1;32m   1011\u001b[0m     log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRe-raising status error\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1012\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_status_error_from_response(err\u001b[38;5;241m.\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1014\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_process_response(\n\u001b[1;32m   1015\u001b[0m     cast_to\u001b[38;5;241m=\u001b[39mcast_to,\n\u001b[1;32m   1016\u001b[0m     options\u001b[38;5;241m=\u001b[39moptions,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1019\u001b[0m     stream_cls\u001b[38;5;241m=\u001b[39mstream_cls,\n\u001b[1;32m   1020\u001b[0m )\n",
      "\u001b[0;31mBadRequestError\u001b[0m: Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'messages: roles must alternate between \"user\" and \"assistant\", but found multiple \"assistant\" roles in a row'}}"
     ]
    }
   ],
   "source": [
    "response = client.messages.create(\n",
    "    model=\"claude-3-haiku-20240307\",\n",
    "    max_tokens=1000,\n",
    "    messages=[\n",
    "        {\"role\": \"user\", \"content\": \"Hey there!\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"Hi there!\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"How can I help you??\"}\n",
    "    ]\n",
    ")\n",
    "print(response.content[0].text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "source": [
    "## Messages list use cases\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "source": [
    "### Putting words in Claude's mouth\n",
    "\n",
    "Another common strategy for getting very specific outputs is to \"put words in Claude's mouth\".  Instead of only providing `user` messages to Claude, we can also supply an `assistant` message that Claude will use when generating output.  \n",
    "\n",
    "When using Anthropic’s API, you are not limited to just the `user` message. If you supply an `assistant` message, Claude will continue the conversation from the last `assistant` token.  Just remember that we must start with a `user` message.\n",
    "\n",
    "Suppose I want Claude to write me a haiku that starts with the first line, \"calming mountain air\".  I can provide the following conversation history: \n",
    "\n",
    "```py\n",
    "messages=[\n",
    "        {\"role\": \"user\", \"content\": f\"Generate a beautiful haiku\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"calming mountain air\"}\n",
    "    ]\n",
    "```\n",
    "We tell Claude that we want it to generate a Haiku AND we put the first line of the Haiku in Claude's mouth\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ",\n",
      "dancing sunlight on still waters,\n",
      "nature's gentle grace.\n"
     ]
    }
   ],
   "source": [
    "response = client.messages.create(\n",
    "    model=\"claude-3-haiku-20240307\",\n",
    "    max_tokens=500,\n",
    "    messages=[\n",
    "        {\"role\": \"user\", \"content\": f\"Generate a beautiful haiku\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"calming mountain air\"}\n",
    "    ]\n",
    ")\n",
    "print(response.content[0].text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get the entire haiku, starting with the line we provided:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calming mountain air,\n",
      "dancing sunlight on still waters,\n",
      "nature's gentle grace.\n"
     ]
    }
   ],
   "source": [
    "print(\"calming mountain air\" + response.content[0].text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Few-shot prompting\n",
    "\n",
    "One of the most useful prompting strategies is called \"few-shot prompting\" which involves providing a model with a small number of **examples**.  These examples help guide Claude's generated output.  The messages conversation history is an easy way to provide examples to Claude.\n",
    "\n",
    "For example, suppose we want to use Claude to analyze the sentiment in tweets.  We could start by simply asking Claude to \"please analyze the sentiment in this tweet: \" and see what sort of output we get:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The sentiment in this tweet is overwhelmingly positive. The user expresses their enjoyment of the new spicy pickles from @PickleCo, using enthusiastic language and emojis to convey their delight.\n",
      "\n",
      "Positive indicators:\n",
      "1. \"My taste buds are doing a happy dance!\" - This phrase indicates that the user is extremely pleased with the taste of the pickles, to the point of eliciting a joyful physical response.\n",
      "\n",
      "2. Emojis - The use of the hot pepper 🌶️ and cucumber 🥒 emojis further emphasizes the user's excitement about the spicy pickles.\n",
      "\n",
      "3. Hashtags - The inclusion of #pickleslove and #spicyfood hashtags suggests that the user has a strong affinity for pickles and spicy food, and the new product aligns perfectly with their preferences.\n",
      "\n",
      "4. Exclamation mark - The exclamation mark at the end of the first sentence adds emphasis to the user's positive experience.\n",
      "\n",
      "Overall, the tweet conveys a strong sense of satisfaction, excitement, and enjoyment related to trying the new spicy pickles from @PickleCo.\n"
     ]
    }
   ],
   "source": [
    "response = client.messages.create(\n",
    "    model=\"claude-3-haiku-20240307\",\n",
    "    max_tokens=500,\n",
    "    messages=[\n",
    "        {\"role\": \"user\", \"content\": f\"Analyze the sentiment in this tweet: Just tried the new spicy pickles from @PickleCo, and my taste buds are doing a happy dance! 🌶️🥒 #pickleslove #spicyfood\"},\n",
    "    ]\n",
    ")\n",
    "print(response.content[0].text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first time I ran the above code, Claude generated this long response: \n",
    "```\n",
    "The sentiment in this tweet is overwhelmingly positive. The user expresses their enjoyment of the new spicy pickles from @PickleCo, using enthusiastic language and emojis to convey their delight.\n",
    "\n",
    "Positive indicators:\n",
    "1. \"My taste buds are doing a happy dance!\" - This phrase indicates that the user is extremely pleased with the taste of the pickles, to the point of eliciting a joyful physical response.\n",
    "\n",
    "2. Emojis - The use of the hot pepper 🌶️ and cucumber 🥒 emojis further emphasizes the user's excitement about the spicy pickles.\n",
    "\n",
    "3. Hashtags - The inclusion of #pickleslove and #spicyfood hashtags suggests that the user has a strong affinity for pickles and spicy food, and the new product aligns perfectly with their preferences.\n",
    "\n",
    "4. Exclamation mark - The exclamation mark at the end of the first sentence adds emphasis to the user's positive experience.\n",
    "\n",
    "Overall, the tweet conveys a strong sense of satisfaction, excitement, and enjoyment related to trying the new spicy pickles from @PickleCo.\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a great response, but it's probably way more information than we need from Claude, especially if we're trying to automate the sentiment analysis of a large number of tweets.  \n",
    "\n",
    "We might prefer that Claude respond with a standardized output format like a single word (POSITIVE, NEUTRAL, NEGATIVE) or a numeric value (1, 0, -1).  For readability and simplicity, let's get Claude to respond with either \"POSITIVE\" or \"NEGATIVE\".  One way of doing this is through few-shot prompting.  We can provide Claude with a conversation history that shows exactly how we want it to respond: \n",
    "\n",
    "```py\n",
    "messages=[\n",
    "        {\"role\": \"user\", \"content\": \"Unpopular opinion: Pickles are disgusting. Don't @ me\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"NEGATIVE\"},\n",
    "        {\"role\": \"user\", \"content\": \"I think my love for pickles might be getting out of hand. I just bought a pickle-shaped pool float\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"POSITIVE\"},\n",
    "        {\"role\": \"user\", \"content\": \"Seriously why would anyone ever eat a pickle?  Those things are nasty!\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"NEGATIVE\"},\n",
    "        {\"role\": \"user\", \"content\": \"Just tried the new spicy pickles from @PickleCo, and my taste buds are doing a happy dance! 🌶️🥒 #pickleslove #spicyfood\"},\n",
    "    ]\n",
    "```\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "POSITIVE\n"
     ]
    }
   ],
   "source": [
    "response = client.messages.create(\n",
    "    model=\"claude-3-haiku-20240307\",\n",
    "    max_tokens=500,\n",
    "    messages=[\n",
    "        {\"role\": \"user\", \"content\": \"Unpopular opinion: Pickles are disgusting. Don't @ me\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"NEGATIVE\"},\n",
    "        {\"role\": \"user\", \"content\": \"I think my love for pickles might be getting out of hand. I just bought a pickle-shaped pool float\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"POSITIVE\"},\n",
    "        {\"role\": \"user\", \"content\": \"Seriously why would anyone ever eat a pickle?  Those things are nasty!\"},\n",
    "        {\"role\": \"assistant\", \"content\": \"NEGATIVE\"},\n",
    "        {\"role\": \"user\", \"content\": \"Just tried the new spicy pickles from @PickleCo, and my taste buds are doing a happy dance! 🌶️🥒 #pickleslove #spicyfood\"},\n",
    "    ]\n",
    ")\n",
    "print(response.content[0].text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
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   "source": [
    "***\n",
    "\n",
    "## Exercise\n",
    "\n",
    "### Your task: build a chatbot\n",
    "\n",
    "Build a simple multi-turn command-line chatbot script. The messages format lends itself to building chat-based applications.  To build a chat-bot with Claude, it's as simple as:\n",
    "\n",
    "1. Keep a list to store the conversation history\n",
    "2. Ask a user for a message using `input()` and add the user input to the messages list\n",
    "3. Send the message history to Claude\n",
    "4. Print out Claude's response to the user\n",
    "5. Add Claude's assistant response to the history\n",
    "6. Go back to step 2 and repeat! (use a loop and provide a way for users to quit!)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<details>\n",
    "    <summary>View exercise solution</summary>\n",
    "\n",
    "    ```py\n",
    "\n",
    "    conversation_history = []\n",
    "\n",
    "    while True:\n",
    "        user_input = input(\"User: \")\n",
    "        \n",
    "        if user_input.lower() == \"quit\":\n",
    "            print(\"Conversation ended.\")\n",
    "            break\n",
    "        \n",
    "        conversation_history.append({\"role\": \"user\", \"content\": user_input})\n",
    "    \n",
    "        response = client.messages.create(\n",
    "            model=\"claude-3-haiku-20240307\",\n",
    "            messages=conversation_history,\n",
    "            max_tokens=500\n",
    "        )\n",
    "    \n",
    "        assistant_response = response.content[0].text\n",
    "        print(f\"Assistant: {assistant_response}\")\n",
    "        conversation_history.append({\"role\": \"assistant\", \"content\": assistant_response})\n",
    "    ```\n",
    "</details>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n"
   ]
  }
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